JOBNAME: No Job Name PAGE: 1 SESS: 6 OUTPUT: Fri Sep 18 15:04:25 1992 / node2/ F main F / 90dec/ s1/ 2/ cvrtpsp U.S. Department of Commerce Economics and Statistics Administration BUREAU OF THE CENSUS 1990 CP-S-1-2 1990 Census of Population Detailed Ancestry Groups for States JOBNAME: No Job Name PAGE: 1 SESS: 56 OUTPUT: Wed Sep 2 15:08:30 1992 / node2/ F main F / 90dec/ all/ usst/ ack ACKNOWLEDGMENTS The Decennial Planning Division, Susan M. Miskura, Chief, coordinated and directed all census operations. Patricia A. Berman, Assistant Division Chief for Content and Data Products, directed the development and implementation of the 1990 Census Tabulation and Publication Program. Other assistant division chiefs were Robert R. Bair, Rachel F. Brown, James L. Dinwiddie, Allan A. Stephenson, and Edwin B. Wagner, Jr. The following branch chiefs made significant contributions: Cheryl R. Landman, Adolfo L. Paez, A. Edward Pike, and William A. Starr. Other important contributors were Linda S. Brudvig, Cindy S. Easton, Avis L. Foote, Carolyn R. Hay, Douglas M. Lee, Gloria J. Porter, and A. Nishea Quash. The Decennial Operations Division, Arnold A. Jackson, Chief, was responsible for processing and tabulating census data. Assistant division chiefs were: Donald R. Dalzell, Kenneth A. Riccini, Billy E. Stark, and James E. Steed. Processing offices were managed by Alfred Cruz, Jr., Earle B. Knapp, Jr., Judith N. Petty, Mark M. Taylor, Russell L. Valentine, Jr., Carol A. Van Horn, and C. Kemble Worley. The following branch chiefs made significant contributions: Jonathan G. Ankers, Sharron S. Baucom, Catharine W. Burt, Vickie L. Cotton, Robert J. Hemmig, George H. McLaughlin, Carol M. Miller, Lorraine D. Neece, Peggy S. Payne, William L. Peil, Cotty A. Smith, Dennis W. Stoudt, and Richard R. Warren. Other important contributors were Eleanor I. Banks, Miriam R. Barton, Danny L. Burkhead, J. Kenneth Butler, Jr., Albert A. Csellar, Donald H. Danbury, Judith A. Dawson, Donald R. Dwyer, Beverly B. Fransen, Katherine H. Gilbert, Lynn A. Hollabaugh, Ellen B. Katzoff, Randy M. Klear, Norman W. Larsen, Peter J. Long, Sue Love, Patricia O. Madson, Mark J. Matsko, John R. Murphy, Dan E. Philipp, Eugene M. Rashlich, Willie T. Robertson, Barbara A. Rosen, Sharon A. Schoch, Imelda B. Severdia, Diane J. Simmons, Emmett F. Spiers, Johanne M. Stovall, M. Lisa Sylla, and Jess D. Thompson. The Housing and Household Economic Statistics Division, Daniel H. Weinberg, Chief, developed the questionnaire content, designed the data tabulations, and reviewed the data for the economic and housing characteristics. Gordon W. Green, Jr., Assistant Division Chief for Economic Characteristics, and Leonard J. Norry, Assistant Division Chief for Housing Characteristics, directed the development of this work. The following branch chiefs made significant contributions: William A. Downs, Peter J. Fronczek, Patricia A. Johnson, Enrique J. Lamas, Charles T. Nelson, and Thomas S. Scopp. Other important contributors were Eleanor F. Baugher, Jeanne C. Benetti, Robert L. Bennefield, Robert W. Bonnette, William S. Chapin, Higinio Feliciano, Timothy S. Grall, Cynthia J. Harpine, Selwyn Jones, Mary C. Kirk, Richard G. Kreinsen, Gordon H. Lester, Mark S. Littman, Wilfred T. Masumura, John M. McNeil, Diane C. Murphy, George F. Patterson, Thomas J. Palumbo, Kirby G. Posey, John Priebe, Anne D. Smoler, and Carmina F. Young. The Population Division, Paula J. Schneider, Chief, developed the questionnaire content, designed the data tabulations, and reviewed the data for the demographic and social characteristics of the population. Philip N. Fulton, Assistant Division Chief for Census Programs, directed the development of this work. Other assistant division chiefs were Nampeo R. McKenney and Arthur J. Norton. The following branch and staff chiefs made significant contributions: Jorge H. del Pinal, Campbell J. Gibson, Roderick J. Harrison, Donald J. Hernandez, Jane H. Ingold, Martin T. O’Connell, Marie Pees, J. Gregory Robinson, Phillip A. Salopek, Paul M. Siegel, Robert C. Speaker, Gregory K. Spencer, and Cynthia M. Taeuber. Other important contributors were Celia G. Boertlein, Rosalind R. Bruno, Janice A. Costanzo, Rosemarie C. Cowan, Arthur R. Cresce, Larry G. Curran, Carmen DeNavas, Robert O. Grymes, Kristin A. Hansen, Mary C. Hawkins, Rodger V. Johnson, Michael J. Levin, Edna L. Paisano, Sherry B. Pollock, Stanley J. Rolark, A. Dianne Schmidley, Denise I. Smith, and Nancy L. Sweet. The Data User Services Division, Gerard C. Iannelli, then Chief, directed the development of data product dissemination and information to increase awareness, understanding, and use of census data. Marie G. Argana, Assistant Chief for Data User Services, directed preparation of electronic data products and their dissemination. Alfonso E. Mirabal, Assistant Chief for Group Information and Advisory Services, directed activities related to the National Services Program, State Data Centers, and preparation of training materials. The following branch chiefs made significant contributions: Deborah D. Barrett, Frederick G. Bohme, Larry W. Carbaugh, James P. Curry, Samuel H. Johnson, John C. Kavaliunas, and Forrest B. Williams. Other important contributors were Molly Abramowitz, Celestin J. Aguigui, Barbara J. Aldrich, Delores A. Baldwin, Albert R. Barros, Geneva A. Burns, Carmen D. Campbell, James R. Clark, Virginia L. Collins, George H. Dailey, Jr., Barbara L. Hatchl, Theresa C. Johnson, Paul T. Manka, John D. McCall, Jo Ann Norris, David M. Pemberton, Sarabeth Rodriguez, Charles J. Wade, Joyce J. Ware, and Gary M. Young. The Geography Division, Robert W. Marx, Chief, directed and coordinated the census mapping and geographic activities. Jack R. George, Assistant Division Chief for Geoprocessing, directed the planning and development of the TIGER System and related software. Robert A. LaMacchia, Assistant Division Chief for Planning, directed the planning and implementation of processes for defining 1990 census geographic areas. Silla G. Tomasi, Assistant Division Chief for Operations, managed the planning and implementation of 1990 census mapping applications using the TIGER System. The following branch chiefs made significant contributions: Frederick R. Broome, Charles E. Dingman, Linda M. Franz, David E. Galdi, Dan N. Harding, Donald I. Hirschfeld, David B. Meixler, Peter Rosenson, Joel Sobel, Brian Swanhart, and Richard Trois. Other important contributors were Gerard Boudriault, Desmond J. Carron, Anthony W. Costanzo, Paul W. Daisey, Beverly A. Davis, Carl S. Hantman, Christine J. Kinnear, Terence D. McDowell, Linda M. Pike, Rose J. A. Quarato, Lourdes Ramirez, Gavin H. Shaw, Daniel L. Sweeney, Timothy F. Trainor, Phyllis S. Willette, and Walter E. Yergen. The Statistical Support Division, John H. Thompson, Chief, directed the application of mathematical statistical techniques in the design and conduct of the census. John S. Linebarger, Assistant Division Chief for Quality Assurance, directed the development and implementation of operational and software quality assurance. Henry F. Woltman, Assistant Division Chief for Census Design, directed the development and implementation of sample design, disclosure avoidance, weighting, and variance estimation. Howard Hogan and David V. Bateman were contributing assistant division chiefs. The following branch chiefs made significant contributions: Florence H. Abramson, Deborah H. Griffin, Richard A. Griffin, Lawrence I. Iskow, and Michael L. Mersch. Other important contributors were Linda A. Flores-Baez, Larry M. Bates, Somonica L. Green, James E. Hartman, Steven D. Jarvis, Alfredo Navarro, Eric L. Schindler, Carolyn T. Swan, and Glenn D. White. The 1990 Census Redistricting Data Office, Marshall L. Turner, Jr., Chief, assisted by Cathy L. Talbert, directed the development and implementation of the 1990 Census Redistricting Data Program. The Administrative and Publications Services Division, Walter C. Odom, Chief, provided direction for the census administrative services, publications, printing, and graphics functions. Michael G. Garland was a contributing assistant division chief. The following branch and staff chiefs made significant contributions: Bernard E. Baymler, Albert W. Cosner, Gary J. Lauffer, Gerald A. Mann, Clement B. Nettles, Russell Price, and Barbara J. Stanard. Other important contributors were Barbara M. Abbott, Robert J. Brown, David M. Coontz, and John T. Overby. The Data Preparation Division, Joseph S. Harris, Chief, provided management of a multi-operational facility including kit preparation, procurement, warehousing and supply, and census processing activities. Plummer Alston, Jr., and Patricia M. Clark were assistant division chiefs. The Field Division, Stanley D. Matchett, Chief, directed the census data collection and associated field operations. Richard L. Bitzer, Richard F. Blass, Karl K. Kindel, and John W. Marshall were assistant division chiefs. Regional office directors were William F. Adams, John E. Bell, LaVerne Collins, Dwight P. Dean, Arthur G. Dukakis, Sheila H. Grimm, William F. Hill, James F. Holmes, Stanley D. Moore, Marvin L. Postma, John E. Reeder, and Leo C. Schilling. The Personnel Division, David P. Warner, Chief, provided management direction and guidance to the staffing, planning pay systems, and employee relations programs for the census. Colleen A. Woodard was the assistant chief. The Technical Services Division, C. Thomas DiNenna, Chief, designed, developed, deployed, and produced automated technology for census data processing. JOBNAME: No Job Name PAGE: 2 SESS: 6 OUTPUT: Fri Sep 18 15:04:25 1992 / node2/ F main F / 90dec/ s1/ 2/ cvrtpsp 1990 CP-S-1-2 1990 Census of Population Detailed Ancestry Groups for States U.S. Department of Commerce Barbara Hackman Franklin, Secretary Rockwell A. Schnabel, Deputy Secretary Economics and Statistics Administration J. Antonio Villamil, Under Secretary for Economic Affairs BUREAU OF THE CENSUS Barbara Everitt Bryant, Director JOBNAME: No Job Name PAGE: 1 SESS: 63 OUTPUT: Wed Sep 2 15:14:47 1992 / node2/ F main F / 90dec/ s1/ 2/ rstr Economics and Statistics Administration Mark W. Plant, Acting Under Secretary for Economic Affairs and Administrator BUREAU OF THE CENSUS Barbara Everitt Bryant, Director C.L. Kincannon, Deputy Director Charles D. Jones, Associate Director for Decennial Census William P. Butz, Associate Director for Demographic Programs Bryant Benton, Associate Director for Field Operations Bryant Benton, Acting Associate Director for Management Services Peter A. Bounpane, Assistant Director for Decennial Census SPECIAL ACKNOWLEDGMENTS This report was prepared by Susan J. Lapham and Patricia A. Montgomery in the Population Division, under the general supervision of Jorge del Pinal, Chief, Ethnic and Hispanic Statistics Branch, with the overall direction of Nampeo R. McKenney, Assistant Division Chief for Special Population Statistics. Marie Pees and Rosalyn Green of the Computer Applications and Processing Staff were responsible for the computer programming of the detailed tables. For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402. JOBNAME: No Job Name PAGE: 1 SESS: 19 OUTPUT: Wed Sep 2 15:09:11 1992 / node2/ F main F / 90dec/ s1/ 2/ con CONTENTS Page How to Use This Census Report ------------------------------------------------------------------------------------------User Notes -----------------------------------------------------------------------------------------------------------------Abstract ---------------------------------------------------------------------------------------------------------------------- I–1 II–1 III–1 STATISTICAL TABLES 1. Type of Ancestry Response: 1990 -----------------------------------------------------------------------------------United States Region Division State 1 2. Persons Who Reported at Least One Specific Ancestry Group: 1990 ---------------------------------------------United States 3 3. Persons Who Reported at Least One Specific Ancestry Group: 1990 ---------------------------------------------United States Region Division State 6 APPENDIXES A. B. C. D. E. F. G. Area Classifications ----------------------------------------------------------------------------------------------------Definitions of Subject Characteristics ---------------------------------------------------------------------------------Accuracy of the Data---------------------------------------------------------------------------------------------------Collection and Processing Procedures--------------------------------------------------------------------------------Facsimiles of Respondent Instructions and Questionnaire Pages --------------------------------------------------Data Products and User Assistance ----------------------------------------------------------------------------------Ancestry Code List ------------------------------------------------------------------------------------------------------ CONTENTS A–1 B–1 C–1 D–1 E–1 F–1 G–1 iii JOBNAME: No Job Name PAGE: 1 SESS: 48 OUTPUT: Wed Sep 2 15:12:34 1992 / node2/ F main F / 90dec/ s1/ 2/ how HOW TO USE THIS CENSUS REPORT HOW TO USE THE STATISTICAL TABLES CONTENTS Contents of the Appendixes - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - How to Use the Statistical Tables - - - - - - - - - - - - - - - - - - - - - - - - - - User Notes - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I–2 I–1 I–2 INTRODUCTION Data from the 1990 census are presented in several different report series. These series are published under the following three subject titles: 1. 1990 Census of Population (1990 CP) 2. 1990 Census of Housing (1990 CH) 3. 1990 Census of Population and Housing (1990 CPH) In addition, special compilations of census data are presented in the supplementary report series (1990 CP-S-1 or 1990 CH-S-1). This report is part of this series and provides 1990 census sample data on 215 ancestry groups in the United States. For information on the criteria for ancestry group selection, see appendix B. See appendix F for detailed information about the various report series; additional 1990 census data products such as computer tapes, microfiche, and laser disks; other related materials; and sources of assistance. This report includes an abstract, which contains a summary of results and four text tables; three statistical tables; and seven appendixes. The detailed information tabulated in this report is presented for the United States, regions, divisions, and States. The data from the 1990 census were derived from a limited number of basic questions asked of the entire population and about every housing unit (referred to as the 100-percent questions), and from additional questions asked of a sample of the population and housing units (referred to as the sample questions). Two primary versions of questionnaires were used: a short form containing only the 100-percent questions and a long form containing both the 100-percent questions and the additional sample questions. Appendix E presents facsimiles of the questionnaire pages and the respondent instructions used to collect the data included in this report. Appendix F lists the subjects that are covered by the 100-percent and sample components of the 1990 census. Legal provision for this census, which was conducted as of April 1, 1990, was made in the Act of Congress of August 31, 1954 (amended August 1957, December 1975, and October 1976), which is codified in Title 13, United States Code. HOW TO USE THIS CENSUS REPORT Parts of a Statistical Table The census data included in printed reports are arranged in tables. Each table includes four major parts: (1) heading, (2) boxhead, (3) stub, and (4) data field. A typical census report table is illustrated below. The heading consists of the table number, title, and headnote. The table number indicates the position of the table within the report, while the title is a brief statement indicating the classification, nature, and time reference of the data presented in the table. The headnote is enclosed in brackets and is located under the title. It contains statements that qualify, explain, or provide information pertaining to the entire table. I–1 JOBNAME: No Job Name PAGE: 2 SESS: 48 OUTPUT: Wed Sep 2 15:12:34 1992 / node2/ F main F / 90dec/ s1/ 2/ how The boxhead is under the heading. This portion of the table, which contains the individual column heads or captions, describes the data in each vertical column. In the boxhead of many tables, a spanner appears across and above two or more column heads or across two or more lower spanners. The purpose of a spanner is to classify or qualify items below it or separate the table into identifiable blocks in terms of major aspects of the data. The stub is located at the left edge of the table. It includes a listing of line or row captions or descriptions. At the top of the stub is the stubhead. The stubhead is considered to be an extension of the table title and usually shows generic geographic area designations and restrictions. In the stub, several features are used to help the user better understand the contents of the table. Usually, a block of data lines is preceded by a sidehead. The sidehead, similar to a spanner, describes and classifies the stub entries following it. The use of indentation in a stub indicates the relationship of one data line to another. Indented data lines represent subcategories that in most instances, sum to a total. Occasionally in tables, it is desirable to show one or more single-line subcategories that do not sum to the total. The unit of measure, such as dollars, is shown when it is not clear from the general wording of the data line. The data field is that part of the table that contains the data. It extends from the bottom of the boxhead to the bottom of the table and from the right of the stub to the right-hand edge of the page. Both geographic and subject-matter terms appear in tables. It is important to read the definitions of the terms used in the tables because census terms often are defined in special ways that reflect the manner in which the questions were asked and the data were tabulated. Definitions of geographic terms are provided in appendix A. Subject-matter terms are defined in appendix B. Symbols and Abbreviations The following symbols are used in the tables and explanations of subjects covered in this report: • A dash ‘‘-’’ represents zero or a percent that rounds to less than 0.1. • Three dots ‘‘...’’ mean not applicable. • (NA) means not available. • (n.e.c.) means not elsewhere classified. I–2 USER NOTES User notes include corrections, errata, and related explanatory information. This section appears directly before the statistical tables in census reports unless graphics are shown. It presents information about unique characteristics of the report and changes or corrections made too late to be reflected in the text or tables themselves. CONTENTS OF THE APPENDIXES Appendix A—Provides definitions of the types of geographic areas and related information used in census reports. Appendix B—Contains definitions for the subject-matter items used in census reports, including explanations of derived measures, limitations of the data, and comparability with previous censuses. The subjects are listed alphabetically. Appendix C—Provides information on confidentiality of the data, allocations and substitutions, and sources of errors in the data. Appendix D—Explains the residence rules used in counting the population and housing units, presents a brief overview of data collection operations, and describes processing procedures used to convert data from unedited questionnaires to final 1990 publications and tapes. This appendix also clarifies the procedures used to collect data for persons abroad at the time of the census, where persons on military bases or away at school were counted, how data were collected for persons in institutions, and which citizens of foreign countries were included in the U.S. data. Appendix E—Presents a facsimile of the 1990 census questionnaire pages and the respondent instructions used to collect the data in this report. Appendix F—Summarizes the 1990 census data products program by describing the information available in printed reports and in other sources, such as microfiche or computer tape; and provides information on where to obtain assistance. Appendix G—Contains the code list used in processing the data. This list is especially helpful in determining the components included in the categories shown in this report. HOW TO USE THIS CENSUS REPORT JOBNAME: No Job Name PAGE: 1 SESS: 8 OUTPUT: Wed Sep 2 15:15:50 1992 / node2/ F main F / 90dec/ s1/ 2/ usernote USER NOTES Additional information concerning this 1990 census product may be available at a later date. If you wish to receive these User Notes, contact: Data User Services Division Customer Services Bureau of the Census Washington, DC 20233 301-763-4100 Questions concerning the content of this report may be directed to: Susan J. Lapham Population Division Bureau of the Census Washington, DC 20233 ADDITIONAL DEFINITIONS AND EXPLANATIONS OF DATA GENERAL User Note 1 The user should note that there are limitations to many of these data. Please refer to the text provided with this report for further explanations on the limitations of the data. User Note 2 Estimated population and housing unit totals based on tabulations from only the sample questionnaires (sample tabulations) may differ from the official counts as tabulated from every census questionnaire (100-percent tabulations). Such differences result, in part, because the sample tabulations are based on information from a sample of households rather than from all households (sampling error). Differences also can occur because the interview situation (length of questionnaire, effect of the interviewer, etc.) and the processing rules differ between the 100percent and sample tabulations. These types of differences are referred to as nonsampling errors. (For more information on nonsampling error, see appendix C.) The 100-percent data are the official counts and should be used as the source of information on population and housing items collected on the 100-percent questionnaire, such as age, race, Hispanic origin, number of rooms, and USER NOTES tenure. This is especially appropriate when the primary focus is on counts of the population or housing units for small areas such as census tracts/ BNA’s, block groups, and for American Indian and Alaska Native areas. For estimates of counts of persons and housing units by characteristics asked only on a sample basis (such as education, labor force status, income, and source of water), the sample estimates should be used within the context of the error associated with them. Many users are interested in tabulations of items collected on the sample cross-classified by items collected on a 100-percent basis such as age, race, sex, Hispanic origin, and housing units by tenure. Given the way the weights were applied during sample tabulations, generally, there is exact agreement between sample estimates and 100-percent counts for total population and total housing units for most geographic areas. At the State level and higher geographic levels, sample estimates and 100-percent counts for population by age, sex, race, and Hispanic origin and for housing units by tenure, number of rooms and so on would be reasonably similar and, in some cases, the same. At smaller geographic levels, including census tract/ BNA, there is still general agreement between 100-percent counts and sample estimates of total population or housing units. At smaller geographic levels, however, there will be expected differences between sample estimates and 100-percent counts for population by age, sex, race, and Hispanic origin and for housing units by tenure, number of rooms and so on. In these cases, users may want to consider using derived measures (such as means and medians) or percent distributions. Whether using absolute numbers or derived measures for small population groups and for a small number of housing units in small geographic areas, users should be cautioned that the sampling error associated with these data may be large. Even though the differences between sample estimates and 100-percent counts for these categories are generally small, the differences for the American Indian, as well as the Hispanic origin populations, are relatively larger than for other groups. The following provides some explanation for these differences. State-level sample estimates of the number of American Indians are generally higher than the corresponding 100-percent counts. It appears the differences are primarily the result of proportionately higher reporting of ‘‘Cherokee’’ tribe on sample questionnaires. This phenomenon occurs primarily in off-reservation areas. The reasons for II–1 JOBNAME: No Job Name PAGE: 2 SESS: 8 OUTPUT: Wed Sep 2 15:15:50 1992 / node2/ F main F / 90dec/ s1/ 2/ usernote the greater reporting of Cherokee on sample forms are not fully known at this time. The Census Bureau will do research to provide more information on this phenomenon. For the Hispanic origin population, sample estimates at the State level are generally lower than the corresponding 100-percent counts. The majority of difference is caused by the 100-percent and sample processing of the Hispanic question on the sample questionnaire when the respondent did not mark any response category. When processing the sample, we used written entries in race or Hispanic origin as well as responses to questions only asked on the II–2 sample, such as ancestry and place of birth. These procedures led to a lower proportion of persons being assigned as Hispanic in sample processing than were assigned during 100-percent processing. The Census Bureau will evaluate the effectiveness of the 100-percent and sample procedures. As in previous censuses, the Census Bureau will evaluate the quality of the data and make this information available to data users. In the meanwhile, both 100percent and sample data serve very important purposes and, therefore, should be used within the limitations of the sampling and nonsampling errors. USER NOTES JOBNAME: No Job Name PAGE: 1 SESS: 13 OUTPUT: Wed Sep 2 15:05:37 1992 / node2/ F main F / 90dec/ s1/ 2/ abstract ABSTRACT CONTENTS General - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Summary of the Results - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Tables A. Type of Ancestry Response: 1990 - - - - - - - - - - - - - - - - - - - - B. Percent Distribution of European (Non Hispanic) Ancestry Groups With 1,000,000 or More Persons: 1990C. European (Non Hispanic) Ancestry Groups With 1,000,000 or More Persons: 1990 - - - - - - - - - - - - - - - - - - - - - D. Percent Distribution of Other Ancestry Groups With 75,000 or More Persons: 1990 - - - - - - - - - - - - - - - - - - - - - - - - - III–1 III–1 III–4 III–4 III–5 III–5 GENERAL This report presents sample data from the 1990 census on the population size and geographic distribution of 215 ancestry groups in the United States. The ancestry question was based on self-identification, provided no prelisted categories, and allowed for one or two ancestry responses. Data are shown for the United States, regions, divisions, and States. In this report, the terms ‘‘ancestry’’ and ‘‘origin’’ (and ancestry group and ethnic group) are used interchangeably. See appendixes A and B for detailed information on the definitions of the types of geographic areas and subject-matter items used in this report. The 1980 and 1990 censuses collected ethnic data on persons regardless of the number of generations removed from their country of origin. Ethnic information collected prior to the 1980 census came from questions on country of birth of persons and their parents and identified ethnicity for only foreign-born or native persons of foreign or mixed parentage. Ethnic questions based on self-identification are subject to certain response problems. For more information on the limitations of the 1990 census ancestry data, see appendix B. SUMMARY OF THE RESULTS Type of Ancestry Response About 90 percent of the United States population reported at least one specific ancestry in the 1990 census. The remaining population included approximately 1 percent who provided a religious or unclassifiable response, and just under 10 percent who did not report any ancestry. About 5 percent of the respondents reported ‘‘American’’ or ‘‘United States’’ (see tables A and 1). The type of ancestry response provided by the respondents varied by geographic area. The proportion of the population reporting at least one specific ancestry group was slightly above the national level (90 percent) in each ABSTRACT region except the South where the proportion was only 87 percent. The South also had the largest proportion of the population reporting ‘‘American’’ or ‘‘United States’’ (9 percent) or that did not report any ancestry (13 percent). Some respondents reported only one ancestry group while others reported more than one ancestry group; that is, a multiple response consisting of a first and second ancestry. All first and second ancestry responses were coded. Since two ancestry responses are classified in each applicable group, the sum of the ancestry groups is greater than the total number of persons; for example, persons reporting English-French were tabulated in both the ‘‘English’’ and ‘‘French’’ categories. Nationally, 90 percent of the population reported one specific ancestry; 30 percent also provided a second response. In each region, the percentage of the population reporting one ancestry was much greater than that reporting two ancestries. However, there were differences among the regions in the proportions providing two origins. In the Northeast and Midwest regions, about one-third of the population gave a second response and in the South, the proportion was less than one-fourth (see tables A and 1). ANCESTRY GROUPS Largest Ancestry Groups—The results of the 1990 census show that German, Irish, and English were the most frequently reported ancestry groups. About 58 million persons were reported as being solely or partly of German ancestry, while Irish or part-Irish accounted for 39 million persons and English or part-English accounted for 33 million persons (see table 2). The following figures present the most frequently reported ancestry groups (first and second responses combined). For more information on various groups listed below, see appendix B. German --------------------------------- 58 Irish-------------------------------------- 39 English ---------------------------------- 33 Afro-American -------------------------- 24 Italian------------------------------------ 15 Mexican --------------------------------- 12 French ---------------------------------- 10 Polish ------------------------------------- 9 American Indian ------------------------- 9 Dutch ------------------------------------- 6 Scotch-Irish ------------------------------ 6 million million million million million million million million million million million The next largest ancestry groups (in rank order from 5 million to at least 1 million persons) were Scottish, Swedish, Norwegian, Russian (includes persons who reported III–1 JOBNAME: No Job Name PAGE: 2 SESS: 13 OUTPUT: Wed Sep 2 15:05:37 1992 / node2/ F main F / 90dec/ s1/ 2/ abstract Russian, Black Russian, Great Russian, Red Russian, Rossiya, and Russia), French Canadian, Welsh, Spanish, Puerto Rican, Slovak, Danish, Hungarian, Chinese, Filipino, Czech, Portuguese, British, Hispanic, Greek, Swiss, and Japanese. The ancestry data from the 1990 census reflect the diverse ethnic groups which have come to the United States throughout its history. Prior to the 17th century, most of the residents of this country were American Indian. Persons of German, Irish, and English origin were the first Europeans to arrive in large numbers; the immigration of these groups peaked in the late 19th century. A number of other European groups (Italian and Polish) reached a peak in the early part of the 20th century. Other groups, such as Portuguese and Greek, have had significant, but relatively smaller, streams of immigrants settling in this country. From the early 17th century to the early 19th century, many Africans were forcibly moved to the United States. The immigrants during the last two decades included substantial numbers of West Indian, Arab, Hispanic, and Asian persons; the latter two groups were also among earlier immigrants to this country. lived in the Midwest region, mostly in Illinois. The proportions of Slovenes, Belgians, and Serbians residing in the Midwest region were also high—65 percent, 57 percent, and 50 percent, respectively. More than one-half of the Ukrainians in the United States were located in the Northeast, with the largest number of this group living in Pennsylvania. Geographic Distribution • Other Asian European Ancestry Groups—Table B shows the percent distribution by region of the 21 ancestry groups with 1 million or more persons included under the Western European (non Hispanic groups) and Eastern Europe and Soviet Union classifications. These classifications are also shown in tables 2 and 3 in this text. Of the largest European ancestries, French, Scottish, and Welsh were distributed fairly evenly throughout the four regions. Other groups were more concentrated (see table B). For instance, more than one-half of the nation’s Italians lived in the Northeast region, Norwegians and Czechs lived in the Midwest Central region. About 47 percent of Scotch-Irish were concentrated in the South and about 45 percent of Danish were in the West. California, the recipient of large numbers of migrants, ranked first in population size for many of the largest European ancestry groups (see table C). In 1990, more German, Irish, English, French, Dutch, Scotch-Irish, Scottish, Swedish, Welsh, Danish, Portuguese, British, and Swiss lived in California than in any other State. New York, the traditional port of entry for many immigrant groups, had the largest number of persons reported in the Italian, Polish, Russian, and Greek groups. Other States ranking first were Minnesota for Norwegians, Pennsylvania for Slovaks, Ohio for Hungarians, and Texas for Czechs. California was one of the five top-ranking States for each of the largest European groups, except for Polish and Slovak who were primarily located in the Northeast and North Central regions (see table C). Large regional and State concentrations are also evident for a few of the European ancestry groups with less than 1 million persons. Specifically, data from table 3 show that about 70 percent of the Luxemburgers in this country • Pacific III–2 Other Ancestry Groups—Table D shows the population size and regional distribution of 53 ancestry groups with 75,000 or more persons. These groups are included in nine broad classification categories: • Central and South America (Hispanic) • West Indies (non Hispanic) • Central and South America (non Hispanic) • North Africa and Southwest Asia • Subsaharan Africa • South Asia • North America The 53 largest groups presented in table D reflect the Nation’s ethnic diversity, range widely in population size, and show different geographic distribution patterns within the United States. In 1990, 12 of the groups—Mexican, Spanish, Puerto Rican, Hispanic, Chinese, Filipino, Japanese, Afro-American, American, American Indian, French Canadian, and White—had more than 1 million persons; 8 groups—Panamanian, Trinidadian and Tobagonian, Guyanese, Turkish, Israeli, Egyptian, Nigerian, and Hmong—had fewer than 100,000 persons. (Data for some of the groups in table D are also available from the 1990 census race and Hispanic origin items which are the primary data sources for these groups. For more information on the uses of the data, see appendix B.) The 15 groups under the ‘‘Hispanic’’ classification were concentrated in one region, however the specific region varied by group. The Northeast contained about 86 percent of the Dominicans, 66 percent of the Puerto Ricans, and 63 percent of the Ecuadorians; the South about 69 percent of the Cubans; and the West about 62 percent of the Salvadorans and Guatemalans. The five groups under ‘‘West Indies’’ and ‘‘Central and South America’’ classifications in table D were heavily concentrated in the Northeast. The greatest concentration were Guyanese with 80 percent living in the Northeast. The regional distribution of the largest North African and Southwest Asian groups varied considerably. About onehalf of all Israelis resided in the Northeast, mainly New York, while over 50 percent of Armenians and Iranians ABSTRACT JOBNAME: No Job Name PAGE: 3 SESS: 13 OUTPUT: Wed Sep 2 15:05:37 1992 / node2/ F main F / 90dec/ s1/ 2/ abstract lived in the West, primarily California. The Lebanese and Arab groups were more evenly distributed throughout the four regions (see tables D and 3). Persons reporting French Canadian or Canadian resided largely in the Northeast, 45 percent and 34 percent, respectively. However, the Midwest region contained 20 percent of the French Canadians, and the South had about the same proportion of Canadians. In the Northeast, the French Canadians and Canadians were found primarily in Massachusetts and New York (see table 3). Some groups had high proportions (50 percent or more) residing in one State. Figures from table 3 show that New York, for example, contained more than 60 percent of the Guyanese, Dominicans, and Barbadians in the United States. More than 60 percent of the Bahamians were in Florida and 58 percent of the Cape Verdeans were located in Massachusetts. California had about 60 percent of the Salvadorans in this country. Comparability—The 1990 census was the second to use an open-ended ancestry question based on self-identification. The revisions to the ancestry question for 1990 were relatively minor. Changes were made to both the wording of the question and instructions to clarify the intent of the question, improve reporting, and reduce non-response. For instance, the term ‘‘ethnic origin’’ was added to the question for 1990. Additions and deletions were made to the ancestry examples to reduce misreporting and to encourage a broader interpretation of ethnicity beyond reporting place or country of birth. About 90 percent of the population in the 1990 census reported an ancestry with only 1.4 percent (3.4 million) reporting a response that was unable to be coded, for example ‘‘adopted,’’ ‘‘don’t know,’’ or ‘‘none of your business.’’ These results parallel the 1980 results that show 89.8 percent with an ancestry response and .8 percent (1.8 million) reporting an uncodable response. There is consistency at the national level in general types of ancestry response between 1980 and 1990. For example, the percent of persons reporting ‘‘American’’ ancestry was very similar between 1980 and 1990 (5.9 and 5.2 percent respectively). The percent not reporting ancestry actually declined slightly from the 1980 level of 10.2 percent to a 1990 level of 9.6. Despite apparent consistency at the national level, a review of the data at the regional level reveals some differences between the 1980 and 1990 census results. The regions experienced a decline in the percent reporting ‘‘American’’ with the exception of the South, which had a slightly higher percentage reporting ‘‘American,’’ and higher percentages with an unclassifiable ancestry or with no ancestry reported. The 1990 census provides results that show both significant inconsistencies and strong consistencies in levels of ancestry groups over two periods of time. For ABSTRACT groups such as Italian, French, Polish, Dutch, Swedish, Russian, Welsh, Danish, Swiss, Austrian, Lebanese, and American, there was reasonable consistency between 1980 and 1990. On the other hand, there were groups that showed inconsistent reporting. Persons of German ancestry substantially increased from 1980 to 1990. In contrast, persons reporting English ancestry declined from 1980 to 1990. The number of persons reporting Scottish and Irish ancestry also declined, but the decrease was not as dramatic as that for English. The increased reporting of German in the 1990 census relative to the 1980 census seems to add to the concern about inconsistent reporting for this question. However, the 1986 National Content Test, using a question similar to the one used in 1980, produced an estimate that was quite close to the 1990 German total. One possible explanation for these apparently contradictory results is that ‘‘German’’ is used as the first ancestry example in the 1990 and 1986 questions. For persons who may not be sure of their ethnic origin or ancestry, the examples provided may serve as response categories from which the respondent may choose the first that applies. The examples provided also may have encouraged respondents to use them as response categories. Substantial increases from 1980 to 1990 in the number of Acadian/ Cajun and French Canadian, which were added as examples for the 1990 question, lends some credence to this hypothesis. Evidence of this ‘‘example effect’’ on the question raises concerns about how respondents perceive their ethnicity and how we structure the question. The decline in reporting of English seems to be tied directly to the changes in question design (such as eliminating ‘‘English’’ as an example and placing the ancestry question before the language question) that addressed apparent overreporting in 1980. A small part of the difference can be accounted for by the separate identification of ‘‘British’’ in the 1990 census. The substantial differences between 1980 and 1990 for the Scottish and Irish ancestries appear to have a relatively simple explanation. In 1980, the Census Bureau treated this combination of groups as a multiple response and tabulated them under Scotch and Irish categories. In 1990, a unique code was used for persons reporting ‘‘ScotchIrish.’’ Therefore, Scotch-Irish was treated as a single rather than a multiple response. Both Scotch and Irish were lower in 1990 and in the 1986 National Content Test. However, if one were to add the ‘‘Scotch-Irish’’ total to the Scotch and Irish totals, the numbers would be more comparable to 1980 numbers. Consistency of response, especially consistency of reporting of individual respondents, will be a key component of evaluation research for the ancestry question. The information provided in this report is only a preliminary sketch to describe consistency at a macro level. III–3 JOBNAME: No Job Name PAGE: 4 SESS: 12 OUTPUT: Wed Sep 2 15:05:37 1992 / node2/ F main F / 90dec/ s1/ 2/ abstract Table A. Type of Ancestry Response: 1990 United States Region (percent) Region Total Percent Northeast Midwest South West Total population . . . . . . . . . . . . . . . . . . . . . . . . Total responses. . . . . . . . . . . . . . . . . . . . . . . . . 248 709 873 298 559 710 100.0 120.0 100.0 124.6 100.0 127.9 100.0 109.9 100.0 123.3 Reported at least one specific ancestry . . . . . . . First ancestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Second ancestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224 788 502 224 788 502 73 771 208 90.4 90.4 29.7 92.4 92.4 32.2 91.9 91.9 36.0 87.0 87.0 22.8 92.2 92.2 31.1 Single ancestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multiple ancestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 017 294 73 771 208 59.8 29.7 59.7 32.2 54.7 36.0 63.3 22.8 60.1 31.1 American or United States . . . . . . . . . . . . . . . . . . . . 13 039 560 5.2 2.7 3.9 9.2 2.7 Ancestry not specified . . . . . . . . . . . . . . . . . . . . . . Other1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not reported . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 311 069 3 389 599 23 921 371 11.0 1.4 9.6 9.3 1.7 7.6 9.5 1.4 8.1 14.2 1.2 13.0 9.1 1.3 7.8 Note: Since persons who reported two ancestries were included in more than one ancestry group, the sum of responses is greater than the total population. 1 Includes responses indicating religious groups, mixture and unclassifiable responses (such as ‘‘adopted’’ and ‘‘don’t know’’). Some tables in this report show data for ‘‘other’’ and ‘‘not classified’’ separately. Table B. Percent Distribution of European (Non Hispanic) Ancestry Groups With 1,000,000 or More Persons: 1990 Percent distribution Region Total (1,000) Total Northeast Midwest South West German . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Irish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . English . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Italian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . French1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 38 32 14 10 947 736 652 665 321 100.0 100.0 100.0 100.0 100.0 17.1 24.3 18.0 51.1 25.6 38.8 24.9 22.3 16.6 25.6 25.2 33.4 34.8 16.9 28.7 18.8 17.4 24.8 15.4 20.1 Polish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Dutch . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scotch-Irish. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scottish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Swedish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 6 5 5 4 366 227 618 394 681 100.0 100.0 100.0 100.0 100.0 37.4 16.4 13.7 20.2 14.3 37.0 34.1 19.2 21.0 39.7 14.5 28.6 46.6 32.8 14.3 11.1 20.9 20.5 26.0 31.6 Norwegian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Russian2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Welsh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Slovak . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Danish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 2 1 1 869 953 034 883 635 100.0 100.0 100.0 100.0 100.0 6.2 43.8 22.0 40.3 8.9 51.7 16.0 24.2 34.4 34.0 9.5 18.5 26.8 14.5 11.9 32.5 21.7 27.0 10.8 45.2 Hungarian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Czech. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Portuguese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . British. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Greek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Swiss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 1 1 1 1 582 296 153 119 110 045 100.0 100.0 100.0 100l0 100.0 100.0 35.7 10.0 48.9 16.8 37.2 16.3 31.9 51.8 2.6 17.5 23.0 36.2 16.5 22.5 7.9 39.3 21.1 17.4 15.9 15.8 40.6 26.3 18.6 30.1 Note: Includes persons who reported two ancestry groups. Persons who reported a second ancestry group may be included in more than one category. 1 2 Excludes French Basque. Includes persons who reported as ‘‘Russian,’’ ‘‘Cossack,’’ ‘‘Black Russian,’’ ‘‘Great Russian,’’ ‘‘Red Russian,’’ ‘‘Rossiya,’’ and ‘‘Muscovite.’’ III–4 ABSTRACT JOBNAME: No Job Name PAGE: 5 SESS: 10 OUTPUT: Wed Sep 2 15:05:37 1992 / node2/ F main F / 90dec/ s1/ 2/ abstract Table C. European (Non Hispanic) Ancestry Groups With 1,000,000 or More Persons: 1990 Rank of States Largest Five States First Second Third Fourth Fifth German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Irish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . English . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Italian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . French1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . CA CA CA NY CA PA NY TX NJ MI OH TX FL CA MA IL PA NY PA NY TX FL OH MA TX Polish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Dutch. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scotch-Irish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scotish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Swedish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . NY CA CA CA CA IL MI TX FL MN MI NY NC TX IL PA PA FL NY WA NJ TX PA MI MI Norwegian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Russian2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Welsh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Slovak . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Danish. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . MN NY CA PA CA WI CA PA OH UT CA FL OH IL MN WA NJ NY NY IA ND PA FL NJ WA Hungarian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Czeck . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Portuguese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . British . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Greek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Swiss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . OH TX CA CA NY CA NY IL MA TX CA OH CA WI RI FL IL PA PA NE NJ NY MA WI NJ CA HI VA FL IL Note: Includes persons who reported two ancestry groups. Persons who reported a second ancestry group may be included in more than one category. 1 2 Excludes French Basque. Includes persons who reported as ‘‘Russian,’’ ‘‘Cossack,’’ ‘‘Black Russian,’’ ‘‘Great Russian,’’ ‘‘Red Russian,’’ ‘‘Rossiya,’’ and ‘‘Muscovite.’’ Table D. Percent Distribution of Other Ancestry Groups With 75,000 or More Persons: 1990 [Data include persons who reported first and second ancestry group(s)] Percent distribution Region Total (1,000) Total Northeast Midwest South West 587 024 955 113 860 100.0 100.0 100.0 100.0 100.0 1.2 16.4 66.0 13.4 18.3 8.8 7.8 10.7 5.5 3.4 32.6 30.4 15.0 31.2 69.1 57.4 45.5 8.3 49.9 9.2 Dominican . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Salvadoran . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Spaniard1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Colombian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Guatemanian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506 499 361 352 242 100.0 100.0 100.0 100.0 100.0 86.3 13.3 21.7 49.2 15.9 1.2 1.7 4.8 5.1 7.4 10.5 23.0 36.5 32.4 15.0 2.0 61.9 37.1 13.3 61.7 Equadoran . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nicaraguan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Peruvian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hondoran . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Panamanian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 177 162 117 89 100.0 100.0 100.0 100.0 100.0 63.0 8.8 38.2 30.2 37.6 6.0 1.8 5.2 4.8 7.0 15.4 51.1 26.8 39.7 35.0 15.7 38.3 29.9 25.3 20.4 82 100.0 79.7 2.5 13.8 3.9 435 290 159 76 100.0 100.0 100.0 100.0 59.0 54.7 65.5 68.8 4.8 2.5 4.5 2.3 30.6 40.5 22.2 23.9 5.6 2.3 7.8 5.0 CENTRAL AND SOUTH AMERICA (HISPANIC) Mexican . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Spanish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Puerto Rico . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hispanic* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cuban . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2 1 1 CENTRAL AND SOUTH AMERICA (NON HISPANIC) Guyanese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . WEST INDIES (NON HISPANIC) Jamaican . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hatian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . West Indian* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Trinidadian Tobagonian . . . . . . . . . . . . . . . . . . . . . . . ABSTRACT III–5 JOBNAME: No Job Name PAGE: 6 SESS: 12 OUTPUT: Wed Sep 2 15:05:37 1992 / node2/ F main F / 90dec/ s1/ 2/ abstract Table D. Percent Distribution of Other Ancestry Groups With 75,000 or More Persons: 1990—Con. [Data include persons who reported first and second ancestry group(s)] Percent distribution Region Total (1,000) Total Northeast Midwest South West Lebanese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Armenian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Iranian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Syrian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arab* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394 308 236 130 127 100.0 100.0 100.0 100.0 100.0 28.2 29.0 14.7 43.2 20.1 25.6 10.5 9.5 18.9 28.7 27.5 7.7 23.4 20.2 23.3 18.7 52.8 52.4 17.7 28.0 Turkish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Israeli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Egyptian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 82 79 100.0 100.0 100.0 40.6 46.5 41.3 12.3 8.8 11.3 25.2 15.8 19.2 21.9 28.8 28.2 246 92 100.0 100.0 29.1 20.7 16.1 17.3 37.3 47.3 17.6 14.7 570 100 100.0 100.0 31.7 31.7 19.0 19.8 25.6 27.3 23.8 21.2 Chinese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Filipino . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Japanese. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Korean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Vietnamese. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 505 1 451 1 005 837 536 100.0 100.0 100.0 100.0 100.0 24.9 10.3 8.9 21.5 9.4 7.9 8.8 8.5 14.3 8.4 12.3 12.5 10.7 20.2 27.8 54.9 68.4 71.9 44.0 54.5 Taiwanese. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Laotian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cambodian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Thai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Asian* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hmong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 147 135 112 107 85 100.0 100.0 100.0 100.0 100.0 100.0 22.9 9.9 18.9 13.2 18.0 1.9 10.8 19.5 8.5 15.0 14.8 43.1 19.5 18.6 13.8 28.9 25.4 1.3 46.9 52.0 58.8 42.9 41.8 53.7 256 100.0 2.7 3.5 7.1 86.7 777 396 708 167 800 100.0 100.0 100.0 100.0 100.0 15.4 10.3 8.7 44.9 6.7 20.5 17.8 21.9 20.1 12.8 54.4 61.0 46.9 19.5 52.6 9.7 11.0 22.5 15.4 27.9 668 644 550 306 100.0 100.0 100.0 100.0 1.4 15.7 33.6 53.7 2.5 17.8 18.3 25.2 91.2 53.1 20.5 10.6 4.9 13.4 27.5 10.5 NORTH AFRICA AND SOUTHWEST ASIA SUBSAHARAN AFRICA African* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nigerian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . SOUTH ASIA Asian Indian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pakastani. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . OTHER ASIA PACIFIC Hawaiian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . NORTH AMERICA Afro-American . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . American . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . American Indian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . French Canadian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . White . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acadian/ Cajun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . United States . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Canadian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pennsylvania German. . . . . . . . . . . . . . . . . . . . . . . . . 23 12 8 2 1 Note: Data for some of the groups in table D also are available from the 1990 census race and Hispanic origin items, which are the primary data source for these groups. * This category represents a general type of response, which may encompass several ancestry groups. 1 Excludes Spanish Basque. III–6 ABSTRACT Table 1. Type of Ancestry Response: 1990 United States Region Division State Total Total population Total responses First ancestry Second ancestry American or U.S. Other and not classified1 Not reported 248 709 873 298 559 710 224 788 502 73 771 208 13 039 560 3 389 599 23 921 371 Northeast ---------------------------------------------------New England -------------------------------------------------Middle Atlantic ------------------------------------------------- 50 809 229 13 206 943 37 602 286 63 293 355 16 921 778 46 371 577 46 954 109 12 321 796 34 632 313 16 339 246 4 599 982 11 739 264 1 376 404 428 336 948 068 867 916 192 036 675 880 3 855 120 885 147 2 969 973 Midwest -----------------------------------------------------East North Central ---------------------------------------------West North Central --------------------------------------------- 59 668 632 42 008 942 17 659 690 76 305 174 53 255 774 23 049 400 54 836 104 38 592 902 16 243 202 21 469 070 14 662 872 6 806 198 2 318 991 1 663 163 655 828 845 996 671 844 174 152 4 832 528 3 416 040 1 416 488 South -------------------------------------------------------South Atlantic ------------------------------------------------East South Central ---------------------------------------------West South Central --------------------------------------------- 85 445 43 566 15 176 26 702 93 868 48 166 15 473 30 228 74 344 37 873 12 599 23 871 19 524 10 292 2 874 6 357 7 899 3 775 2 324 1 799 997 494 189 312 West --------------------------------------------------------Mountain ----------------------------------------------------Pacific ------------------------------------------------------- 52 786 082 13 658 776 39 127 306 65 092 671 17 357 170 47 735 501 48 653 987 12 610 605 36 043 382 New England Maine ------------------------------------------------------New Hampshire -----------------------------------------------Vermont -----------------------------------------------------Massachusetts ------------------------------------------------Rhode Island -------------------------------------------------Connecticut---------------------------------------------------- 1 227 928 1 109 252 562 758 6 016 425 1 003 464 3 287 116 1 554 596 1 460 004 727 511 7 669 664 1 281 465 4 228 538 1 140 279 1 031 932 519 465 5 626 381 943 465 3 060 274 Middle Atlantic New York----------------------------------------------------New Jersey --------------------------------------------------Pennsylvania--------------------------------------------------- 17 990 455 7 730 188 11 881 643 21 439 004 9 607 064 15 325 509 16 433 904 7 161 728 11 036 681 5 005 100 2 445 336 4 288 828 468 237 170 232 309 599 431 474 105 831 138 575 East North Central Ohio --------------------------------------------------------Indiana ------------------------------------------------------Illinois ------------------------------------------------------Michigan ----------------------------------------------------Wisconsin ----------------------------------------------------- 10 5 11 9 4 13 6 14 12 6 9 4 10 8 4 3 1 3 3 2 634 676 338 216 008 540 395 318 332 76 664 123 637 181 558 219 142 154 127 27 731 902 153 760 298 942 654 859 722 236 442 787 335 977 499 1 982 902 1 088 849 1 744 002 243 133 258 255 618 605 870 452 66 86 329 9 12 32 118 401 691 643 994 527 045 527 29 24 67 2 5 14 29 622 282 918 636 421 494 779 217 209 569 20 39 90 269 550 967 213 484 267 353 654 940 363 505 008 568 933 871 604 816 216 1 425 77 1 549 501 1 228 610 1 238 3 444 504 270 368 892 866 566 835 263 135 29 178 11 577 267 787 363 836 724 070 446 638 595 877 111 370 669 178 8 63 5 58 34 63 27 55 179 097 168 539 132 696 639 035 318 096 61 439 72 815 304 1 037 564 989 1 408 228 105 395 350 909 704 832 612 110 United States ------------------------------------------- REGION AND DIVISION 930 853 284 793 510 307 681 522 302 608 551 143 208 699 130 379 16 438 684 4 746 565 11 692 119 791 954 035 802 1 444 374 431 713 1 012 661 282 720 800 762 678 405 190 589 487 816 11 101 5 693 2 576 2 831 628 245 733 650 4 132 095 1 048 171 3 083 924 STATE West North Central Minnesota ---------------------------------------------------Iowa -------------------------------------------------------Missouri -----------------------------------------------------North Dakota -------------------------------------------------South Dakota -------------------------------------------------Nebraska ----------------------------------------------------Kansas ------------------------------------------------------South Atlantic Delaware ----------------------------------------------------Maryland ----------------------------------------------------District of Columbia --------------------------------------------Virginia -----------------------------------------------------West Virginia -------------------------------------------------North Carolina ------------------------------------------------South Carolina ------------------------------------------------Georgia -----------------------------------------------------Florida ------------------------------------------------------- 847 544 430 295 891 115 159 602 297 769 4 375 099 2 776 755 5 117 073 638 800 696 004 1 578 385 2 477 574 666 4 781 606 6 187 1 793 6 628 3 486 6 478 12 937 168 468 900 358 477 637 703 216 926 683 615 279 002 675 307 048 605 536 278 6 140 451 3 655 637 6 291 862 861 449 914 992 2 106 637 3 078 372 821 5 767 611 6 921 1 990 6 819 3 532 6 726 14 973 444 633 873 900 434 499 706 867 951 904 889 571 572 655 673 372 267 320 270 4 157 549 2 566 788 4 547 860 618 316 656 737 1 488 032 2 207 920 604 4 342 534 5 372 1 488 5 590 2 921 5 488 11 529 414 428 208 2 043 338 1 168 778 725 708 430 020 317 072 046 283 000 264 86 50 32 161 20 76 797 978 123 069 961 408 23 14 11 94 11 36 291 963 622 050 329 781 87 77 43 390 59 226 649 320 293 044 999 842 1 556 551 568 460 844 962 East South Central Kentucky ----------------------------------------------------Tennessee ---------------------------------------------------Alabama ----------------------------------------------------Mississippi ---------------------------------------------------- 3 4 4 2 685 877 040 573 296 185 587 216 3 5 4 2 799 025 062 586 021 694 963 003 2 4 3 2 996 019 378 205 741 087 448 275 802 1 006 684 380 280 607 515 728 609 680 705 328 602 833 573 027 60 64 27 36 667 718 612 803 688 858 662 367 555 098 139 941 West South Central Arkansas ----------------------------------------------------Louisiana ----------------------------------------------------Oklahoma----------------------------------------------------Texas -------------------------------------------------------- 2 4 3 16 350 219 145 986 725 973 585 510 2 4 3 19 519 737 658 312 691 543 704 584 1 3 2 15 947 814 679 429 648 651 717 127 572 922 978 3 883 043 892 987 457 314 279 266 939 041 979 214 568 27 35 40 209 446 710 140 466 403 405 465 1 557 077 322 868 383 799 1 006 453 3 294 1 515 3 665 1 722 1 201 065 749 588 394 069 228 850 833 1 077 377 1 309 607 601 501 4 340 003 1 740 589 4 489 627 2 266 052 1 532 414 3 1 3 1 1 747 924 416 074 390 343 603 110 827 357 583 673 264 069 205 627 329 385 184 1 265 350 1 146 662 421 550 250 918 330 325 558 847 787 24 43 18 96 50 101 57 41 157 250 097 408 061 353 211 176 12 21 4 42 16 49 21 20 369 968 922 904 118 752 845 711 51 82 37 219 124 322 119 91 238 392 005 721 805 159 645 206 4 866 692 2 842 321 29 760 021 550 043 1 108 229 6 452 145 3 758 108 35 509 141 680 385 1 335 722 1 981 536 1 175 941 8 081 447 170 208 282 987 171 103 707 22 7 150 250 730 965 566 80 61 331 8 6 898 015 630 091 182 396 260 2 332 39 55 083 154 327 866 494 Mountain Montana ----------------------------------------------------Idaho -------------------------------------------------------Wyoming ----------------------------------------------------Colorado ----------------------------------------------------New Mexico --------------------------------------------------Arizona -----------------------------------------------------Utah -------------------------------------------------------Nevada -----------------------------------------------------Pacific Washington --------------------------------------------------Oregon ------------------------------------------------------California ----------------------------------------------------Alaska ------------------------------------------------------Hawaii ------------------------------------------------------- DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:45 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 1 TSF:POP* 92. 09/ 03/ 92 08:45:31 UTF:POP* 93. 09/ 03/ 92 08:45:32 META:POP* 96. 09/ 03/ 92 08:45:53 4 470 609 2 582 167 27 427 694 510 177 1 052 735 1 Table 1. Type of Ancestry Response: 1990mCon. United States Region Division State Percent Total population Total responses First ancestry Second ancestry American or U.S. Other and not classified1 Not reported 100.0 120.0 90.4 29.7 5.2 1.4 9.6 Northeast ---------------------------------------------------New England -------------------------------------------------Middle Atlantic ------------------------------------------------- 100.0 100.0 100.0 124.6 128.1 123.3 92.4 93.3 92.1 32.2 34.8 31.2 2.7 3.2 2.5 1.7 1.5 1.8 7.6 6.7 7.9 Midwest -----------------------------------------------------East North Central ---------------------------------------------West North Central --------------------------------------------- 100.0 100.0 100.0 127.9 126.8 130.5 91.9 91.9 92.0 36.0 34.9 38.5 3.9 4.0 3.7 1.4 1.6 1.0 8.1 8.1 8.0 South -------------------------------------------------------South Atlantic ------------------------------------------------East South Central ---------------------------------------------West South Central --------------------------------------------- 100.0 100.0 100.0 100.0 109.9 110.6 102.0 113.2 87.0 86.9 83.0 89.4 22.8 23.6 18.9 23.8 9.2 8.7 15.3 6.7 1.2 1.1 1.3 1.2 13.0 13.1 17.0 10.6 West --------------------------------------------------------Mountain ----------------------------------------------------Pacific ------------------------------------------------------- 100.0 100.0 100.0 123.3 127.1 122.0 92.2 92.3 92.1 31.1 34.8 29.9 2.7 3.2 2.6 1.3 1.4 1.2 7.8 7.7 7.9 New England Maine ------------------------------------------------------New Hampshire -----------------------------------------------Vermont -----------------------------------------------------Massachusetts ------------------------------------------------Rhode Island -------------------------------------------------Connecticut---------------------------------------------------- 100.0 100.0 100.0 100.0 100.0 100.0 126.6 131.6 129.3 127.5 127.7 128.6 92.9 93.0 92.3 93.5 94.0 93.1 33.7 38.6 37.0 34.0 33.7 35.5 7.1 4.6 5.7 2.7 2.1 2.3 1.9 1.3 2.1 1.6 1.1 1.1 7.1 7.0 7.7 6.5 6.0 6.9 Middle Atlantic New York----------------------------------------------------New Jersey --------------------------------------------------Pennsylvania--------------------------------------------------- 100.0 100.0 100.0 119.2 124.3 129.0 91.3 92.6 92.9 27.8 31.6 36.1 2.6 2.2 2.6 2.4 1.4 1.2 8.7 7.4 7.1 East North Central Ohio --------------------------------------------------------Indiana ------------------------------------------------------Illinois ------------------------------------------------------Michigan ----------------------------------------------------Wisconsin ----------------------------------------------------- 100.0 100.0 100.0 100.0 100.0 126.1 119.3 124.9 129.1 136.5 91.3 88.2 92.5 92.2 95.2 34.8 31.1 32.4 36.9 41.3 5.0 7.1 2.8 3.6 1.6 2.0 2.6 1.3 1.4 0.6 8.7 11.8 7.5 7.8 4.8 West North Central Minnesota ---------------------------------------------------Iowa -------------------------------------------------------Missouri -----------------------------------------------------North Dakota -------------------------------------------------South Dakota -------------------------------------------------Nebraska ----------------------------------------------------Kansas ------------------------------------------------------- 100.0 100.0 100.0 100.0 100.0 100.0 100.0 140.3 131.7 123.0 134.9 131.5 133.5 124.2 95.0 92.4 88.9 96.8 94.4 94.3 89.1 45.3 39.2 34.1 38.1 37.1 39.2 35.1 1.5 3.1 6.4 1.6 1.8 2.0 4.8 0.7 0.9 1.3 0.4 0.8 0.9 1.2 5.0 7.6 11.1 3.2 5.6 5.7 10.9 South Atlantic Delaware ----------------------------------------------------Maryland ----------------------------------------------------District of Columbia --------------------------------------------Virginia -----------------------------------------------------West Virginia -------------------------------------------------North Carolina ------------------------------------------------South Carolina ------------------------------------------------Georgia -----------------------------------------------------Florida ------------------------------------------------------- 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 123.3 120.6 100.8 111.9 111.0 102.9 101.3 103.8 115.7 90.8 90.8 88.1 86.8 83.0 84.3 83.8 84.7 89.1 32.5 29.8 12.7 25.0 28.0 18.5 17.5 19.1 26.6 4.4 3.7 1.9 9.3 14.9 11.9 10.4 12.9 5.6 1.2 1.3 0.9 0.9 1.9 1.0 0.8 0.9 1.4 9.2 9.2 11.9 13.2 17.0 15.7 16.2 15.3 10.9 East South Central Kentucky ----------------------------------------------------Tennessee ---------------------------------------------------Alabama ----------------------------------------------------Mississippi ---------------------------------------------------- 100.0 100.0 100.0 100.0 103.1 103.0 100.6 100.5 81.3 82.4 83.6 85.7 21.8 20.6 16.9 14.8 16.5 14.0 17.5 12.7 1.6 1.3 0.7 1.4 18.7 17.6 16.4 14.3 West South Central Arkansas ----------------------------------------------------Louisiana ----------------------------------------------------Oklahoma----------------------------------------------------Texas -------------------------------------------------------- 100.0 100.0 100.0 100.0 107.2 112.3 116.3 113.7 82.9 90.4 85.2 90.8 24.3 21.9 31.1 22.9 13.4 6.6 8.5 5.5 1.2 0.8 1.3 1.2 17.1 9.6 14.8 9.2 Mountain Montana ----------------------------------------------------Idaho -------------------------------------------------------Wyoming ----------------------------------------------------Colorado ----------------------------------------------------New Mexico --------------------------------------------------Arizona -----------------------------------------------------Utah -------------------------------------------------------Nevada ------------------------------------------------------ 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 134.8 130.1 132.6 131.7 114.9 122.5 131.5 127.5 93.6 91.8 91.8 93.3 91.8 91.2 93.1 92.4 41.2 38.3 40.8 38.4 23.1 31.3 38.5 35.1 3.0 4.3 4.0 2.9 3.3 2.8 3.3 3.4 1.5 2.2 1.1 1.3 1.1 1.4 1.3 1.7 6.4 8.2 8.2 6.7 8.2 8.8 6.9 7.6 Pacific Washington --------------------------------------------------Oregon ------------------------------------------------------California ----------------------------------------------------Alaska ------------------------------------------------------Hawaii ------------------------------------------------------- 100.0 100.0 100.0 100.0 100.0 132.6 132.2 119.3 123.7 120.5 91.9 90.8 92.2 92.8 95.0 40.7 41.4 27.2 30.9 25.5 3.5 3.6 2.4 4.2 0.7 1.7 2.1 1.1 1.5 0.6 8.1 9.2 7.8 7.2 5.0 United States ------------------------------------------- REGION AND DIVISION STATE Note: Since persons who reported two ancestries were included in more than one ancestry group, the sum of responses is greater than the total. 1Includes responses indicating religious groups or unclassifiable responses. 2 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:45 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 2 TSF:POP* 92. 09/ 03/ 92 08:45:31 UTF:POP* 93. 09/ 03/ 92 08:45:32 META:POP* 96. 09/ 03/ 92 08:45:53 DETAILED ANCESTRY GROUPS FOR STATES Table 2. Persons Who Reported at Least One Specific Ancestry Group: 1990 United States Total ------------------------------------------------ Persons who reported at least one specific ancestry Percent Total Percent of total1 Persons who reported first ancestry Persons who reported second ancestry First ancestry Second ancestry 248 709 873 100.0 224 788 502 73 771 208 90.4 29.7 6 322 10 1 782 645 114 040 939 135 515 059 899 686 58.8 62.7 78.9 82.7 87.7 76.3 65.2 62.9 77.5 77.5 41.2 37.3 21.1 17.3 12.3 23.7 34.8 37.1 22.5 22.5 WESTERN EUROPE (NON-HISPANIC GROUPS) Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 16 864 47 6 7 34 4 380 1 119 29 465 783 956 001 620 335 348 498 154 652 0.0 0.3 0.0 0.0 0.0 0.0 0.0 0.2 0.4 0.0 9 542 37 4 6 26 2 239 867 22 683 138 842 961 681 200 833 439 255 966 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 3 991 4 897 2 197 289 2 411 1 634 669 6 227 089 32 651 788 658 870 14 157 0.0 0.0 0.0 0.0 0.0 0.7 2.5 13.1 0.3 0.0 2 237 4 678 2 161 289 2 228 980 868 3 475 410 21 834 160 465 070 8 636 1 754 219 36 0 183 653 801 2 751 679 10 817 628 193 800 5 521 56.1 95.5 98.4 100.0 92.4 60.0 55.8 66.9 70.6 61.0 43.9 4.5 1.6 0.0 7.6 40.0 44.2 33.1 29.4 39.0 French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 10 320 935 57 947 374 1 110 373 40 529 38 735 539 14 664 550 49 061 39 600 6 317 4 009 4.1 23.3 0.4 0.0 15.6 5.9 0.0 0.0 0.0 0.0 6 194 501 45 555 748 921 782 27 171 22 695 454 11 246 781 28 846 30 292 3 806 2 832 4 126 434 12 391 626 188 591 13 358 16 040 085 3 417 769 20 215 9 308 2 511 1 177 60.0 78.6 83.0 67.0 58.6 76.7 58.8 76.5 60.3 70.6 40.0 21.4 17.0 33.0 41.4 23.3 41.2 23.5 39.7 29.4 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 3 869 395 1 153 351 4 310 184 1 148 857 25 469 4 519 678 880 5 617 773 5 393 581 1.6 0.5 0.0 0.0 0.5 0.0 0.0 0.3 2.3 2.2 2 517 760 900 060 2 873 106 897 081 19 184 2 658 480 646 4 334 197 3 315 306 1 351 635 253 291 1 437 78 251 776 6 285 1 861 198 234 1 283 576 2 078 275 65.1 78.0 66.7 57.6 78.1 75.3 58.8 70.8 77.2 61.5 34.9 22.0 33.3 42.4 21.9 24.7 41.2 29.2 22.8 38.5 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 50 389 4 680 863 1 045 495 5 748 2 033 893 3 885 42 409 2 005 0.0 1.9 0.4 0.0 0.8 0.0 0.0 0.0 40 2 881 607 3 1 038 3 41 1 034 950 833 718 603 509 664 328 10 1 798 437 2 995 355 913 662 030 290 376 745 677 79.4 61.6 58.1 64.7 51.1 90.3 98.2 66.2 20.6 38.4 41.9 35.3 48.9 9.7 1.8 33.8 Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 47 4 29 7 5 544 1 296 315 26 466 710 277 595 602 604 270 411 285 762 718 0.0 0.0 0.0 0.0 0.0 0.2 0.5 0.1 0.0 0.2 38 3 20 6 5 409 769 240 20 444 361 471 894 927 434 458 427 489 996 107 9 349 806 8 701 675 170 134 812 526 984 74 796 5 766 22 611 80.4 81.2 70.6 91.1 97.0 75.2 59.4 76.3 78.5 95.2 19.6 18.8 29.4 8.9 3.0 24.8 40.6 23.7 21.5 4.8 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 10 1 582 100 811 20 3 65 9 366 5 365 153 302 331 865 365 781 993 106 693 544 0.0 0.6 0.0 0.3 0.0 0.0 0.0 3.8 0.0 0.1 9 997 75 526 16 2 64 6 542 3 235 833 545 747 089 113 660 758 844 353 774 320 757 584 776 252 121 235 262 340 770 96.8 63.0 75.5 64.8 79.1 70.4 98.1 69.9 58.9 64.5 3.2 37.0 24.5 35.2 20.9 29.6 1.9 30.1 41.1 35.5 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 2 952 3 116 76 1 882 124 7 740 3 257 132 987 776 795 931 897 437 729 803 189 994 332 1.2 0.0 0.0 0.0 0.8 0.1 0.0 0.3 0.0 0.1 0.1 2 115 3 89 43 1 210 87 6 514 1 184 123 232 010 583 301 652 500 080 085 935 952 717 837 755 766 27 212 33 630 672 245 36 937 1 649 226 718 1 254 73 042 8 615 71.6 79.7 76.7 56.3 64.3 70.3 78.7 69.4 60.7 71.7 93.5 28.4 20.3 23.3 43.7 35.7 29.7 21.3 30.6 39.3 28.3 6.5 8 1 141 251 6 EASTERN EUROPE AND SOVIET UNION DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:52 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 1 TSF:POP* 92. 09/ 03/ 92 08:52:39 UTF:POP* 93. 09/ 03/ 92 08:52:39 META:POP* 96. 09/ 03/ 92 08:52:53 584 24 285 4 1 1 2 823 2 129 3 Table 2. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Persons who reported at least one specific ancestry Percent Total Percent of total1 Persons who reported first ancestry Persons who reported second ancestry First ancestry Second ancestry 8 852 2 703 555 6 623 22 557 6 170 54 535 20 797 14 470 12 080 86.0 92.0 94.6 89.2 93.6 88.1 93.7 95.9 92.7 95.0 14.0 8.0 5.4 10.8 6.4 11.9 6.3 4.1 7.3 5.0 CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------- 63 33 10 61 351 51 859 505 197 241 176 738 310 465 717 771 739 690 374 559 0.0 0.0 0.0 0.0 0.1 0.0 0.3 0.2 0.1 0.1 54 31 9 54 329 45 805 484 182 229 324 035 755 842 160 601 204 893 904 479 Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------- 1 113 116 43 11 586 177 88 5 161 1 955 499 259 635 521 983 077 649 415 866 323 153 0.4 0.0 0.0 4.7 0.1 0.0 0.0 0.1 0.8 0.2 1 059 108 39 11 165 167 76 4 147 1 813 479 910 364 446 939 395 829 916 504 122 977 349 271 075 044 682 820 499 14 362 142 201 19 176 95.2 92.9 90.6 96.4 94.5 86.7 90.8 91.1 92.7 96.2 4.8 7.1 9.4 3.6 5.5 13.3 9.2 8.9 7.3 3.8 South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 10 360 2 024 14 40 5 867 935 004 641 331 259 0.0 0.1 0.8 0.0 0.0 0.0 9 312 1 625 13 34 3 075 865 866 418 046 940 1 48 398 1 6 1 792 070 138 223 285 319 83.5 86.7 80.3 91.6 84.4 74.9 16.5 13.3 19.7 8.4 15.6 25.1 22 65 81 1 922 875 665 217 0.0 0.0 0.0 0.0 21 57 75 1 205 108 765 078 1 717 8 767 5 900 139 92.5 86.7 92.8 88.6 7.5 13.3 7.2 11.4 Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------- 21 35 4 37 7 11 2 3 5 7 081 455 941 819 364 188 811 415 773 268 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 18 33 4 35 6 10 2 3 5 6 752 178 007 446 891 737 564 113 487 654 2 329 2 277 934 2 373 473 451 247 302 286 614 89.0 93.6 81.1 93.7 93.6 96.0 91.2 91.2 95.0 91.6 11.0 6.4 18.9 6.3 6.4 4.0 8.8 8.8 5.0 8.4 Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 61 289 435 76 7 159 4 530 521 024 270 621 167 139 0.0 0.1 0.2 0.0 0.0 0.1 0.0 33 280 410 71 6 138 3 473 874 933 720 831 521 405 28 8 24 4 057 647 091 550 790 20 646 734 54.4 97.0 94.5 94.0 89.6 87.0 82.3 45.6 3.0 5.5 6.0 10.4 13.0 17.7 Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------- 3 127 308 51 78 235 23 81 20 394 215 364 096 765 574 521 212 677 656 180 0.0 0.1 0.1 0.0 0.0 0.1 0.0 0.0 0.0 0.2 2 112 267 46 73 220 20 69 19 309 537 411 975 099 097 714 657 018 657 578 14 40 5 5 14 2 12 678 953 121 666 477 807 555 659 999 84 602 78.9 88.3 87.0 89.1 93.0 93.7 89.0 84.5 95.2 78.5 21.1 11.7 13.0 10.9 7.0 6.3 11.0 15.5 4.8 21.5 Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- 7 19 48 4 129 83 4 10 656 089 019 486 606 850 011 670 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.0 6 15 44 4 95 66 3 9 654 015 651 257 155 492 497 225 1 002 4 074 3 368 229 34 451 17 358 514 1 445 86.9 78.7 93.0 94.9 73.4 79.3 87.2 86.5 13.1 21.3 7.0 5.1 26.6 20.7 12.8 13.5 245 50 4 30 20 4 8 91 4 17 3 2 20 845 772 270 581 066 639 797 688 627 992 623 681 607 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 224 46 4 29 19 4 8 86 4 15 3 2 19 740 552 231 637 695 460 309 875 441 347 341 475 182 21 105 4 220 39 944 371 179 488 4 813 186 2 645 282 206 1 425 91.4 91.7 99.1 96.9 98.2 96.1 94.5 94.8 96.0 85.3 92.2 92.3 93.1 8.6 8.3 0.9 3.1 1.8 3.9 5.5 5.2 4.0 14.7 7.8 7.7 6.9 31 570 12 2 99 14 301 322 486 516 974 448 116 0.0 0.2 0.0 0.0 0.0 0.0 0.0 30 549 11 2 95 13 600 669 901 369 301 541 116 701 20 653 585 147 4 673 907 0 97.8 96.4 95.3 94.2 95.3 93.7 100.0 2.2 3.6 4.7 5.8 4.7 6.3 0.0 53 8 4 421 9 11 CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- WEST INDIES (NON-HISPANIC GROUPS) NORTH AFRICA AND SOUTHWEST ASIA SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- 4 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:52 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 2 TSF:POP* 92. 09/ 03/ 92 08:52:39 UTF:POP* 93. 09/ 03/ 92 08:52:39 META:POP* 96. 09/ 03/ 92 08:52:53 DETAILED ANCESTRY GROUPS FOR STATES Table 2. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Persons who reported at least one specific ancestry Percent Total Percent of total1 Persons who reported first ancestry Persons who reported second ancestry First ancestry Second ancestry OTHER ASIA Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 15 107 8 134 25 1 505 14 1 450 84 5 523 172 646 955 020 245 177 512 823 774 0.0 0.0 0.0 0.1 0.0 0.6 0.0 0.6 0.0 0.0 15 98 7 132 24 1 404 13 1 333 81 4 449 776 196 157 926 634 553 521 194 541 74 8 396 1 450 2 798 94 100 611 624 116 991 3 629 1 233 99.5 92.2 83.2 97.9 99.6 93.3 95.6 91.9 95.7 78.6 0.5 7.8 16.8 2.1 0.4 6.7 4.4 8.1 4.3 21.4 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 43 1 004 2 836 146 27 3 10 2 192 112 535 2 969 645 979 987 930 800 507 554 419 973 117 825 185 0.0 0.4 0.0 0.3 0.1 0.0 0.0 0.0 0.0 0.1 0.0 0.2 0.0 27 908 2 798 142 25 2 8 2 187 102 519 1 936 599 979 595 640 317 554 498 230 012 941 200 887 16 033 96 046 0 38 392 4 290 2 483 953 2 056 189 5 961 9 176 16 625 298 63.5 90.4 100.0 95.4 97.1 91.1 72.8 80.5 92.2 96.9 91.8 96.9 86.4 36.5 9.6 0.0 4.6 2.9 8.9 27.2 19.5 7.8 3.1 8.2 3.1 13.6 52 4 7 39 256 3 7 11 10 55 16 8 133 427 472 237 081 406 742 330 854 419 019 674 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 36 4 6 33 205 3 5 10 8 49 14 7 290 065 928 053 802 171 997 289 303 503 971 258 15 843 362 544 6 184 50 279 235 1 745 1 041 2 551 5 916 1 048 1 416 69.6 91.8 92.7 84.2 80.4 93.1 77.5 90.8 76.5 89.3 93.5 83.7 30.4 8.2 7.3 15.8 19.6 6.9 22.5 9.2 23.5 10.7 6.5 16.3 Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------- 668 23 777 15 8 708 12 395 549 52 2 167 5 12 271 098 816 220 999 990 920 127 412 618 0.3 9.6 0.0 3.5 5.0 0.2 0.0 0.9 0.0 0.0 597 23 541 13 4 864 12 395 354 48 1 698 3 12 729 280 232 263 999 656 523 394 636 618 542 818 584 957 0 334 397 733 776 0 89.4 99.0 83.7 55.9 100.0 64.5 91.7 78.4 67.2 100.0 10.6 1.0 16.3 44.1 0.0 35.5 8.3 21.6 32.8 0.0 Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 5 305 643 1 799 489 841 561 711 309 0.0 0.1 0.3 0.7 0.0 3 246 643 1 799 320 461 561 711 185 2 169 59 380 0 0 124 60.5 80.6 100.0 100.0 59.9 39.5 19.4 0.0 0.0 40.1 3 389 599 23 921 371 1.4 9.6 3 088 188 23 921 371 301 411 n.a. 91.1 n.a. 8.9 n.a. PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- NORTH AMERICA 70 235 2 3 843 195 4 468 1 OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- Note: Some individuals reported a single ancestry group; others reported more than one group. All first (or single) and second responses were coded. Since persons who reported two ancestries were included in more than one group, the sum of persons reporting the ancestry groups is greater than the total. The ancestry data include groups that correspond to those identified separately in the race and Hispanic origin items.In the 1990 census, separate questions were asked on race and Hispanic origin. The race item provides the primary source of data for White; Black; American Indian, Eskimo, and Aleut; and Asian and Pacific Islander. The 1990 census Hispanic origin question is the primary identifier for Mexican, Puerto Rican, Cuban and those who indicated that they were of " other" Spanish/ Hispanic origin. * This category represents a general type response, which may encompass several ancestry groups. 1Numbers and percents by ancestry group do not add to total because persons reporting a multiple ancestry are included in more than one group. 2Excludes Tirol. 3Excludes Flemish. 4Excludes French Basque. 5Excludes Bavarian, Prussian, Saxon and West German. 6Excludes Greek Cypriot. 7Excludes Northern Irish and Celtic. 8Excludes Sicilian. 9Includes persons who reported " Scotch-Irish." 10Excludes Moravian. 11Includes persons who reported " Rusyn," " Cossack," " Black Russian," " Great Russian," " Red Russian," " Rossiya," and " Muscovite." 12Excludes Spanish Basque. 13Excludes Eritrean. 14Excludes Khmer. 15Excludes Cantonese. 16Includes persons who reported " African American," " Afro-American," " Afro," " Black," " Negro," " Colored," " Creole," and other related groups. 17Includes persons who reported " Native American," " Centraal American Indian," " South American Indian," and " Cherokee," and other related groups. 18Excludes Newfoundland and Nova Scotia. 19Includes persons who reported " White," " Caucasian." " Anglo," " Wasp," " Appalachian," " Aryan," and other related groups. 20Includes persons who reported " Mixture," " Adopted," " Don’t know," and other unclassifiable responses, as well as responses indicating religious groups. DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:52 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 3 TSF:POP* 92. 09/ 03/ 92 08:52:39 UTF:POP* 93. 09/ 03/ 92 08:52:39 META:POP* 96. 09/ 03/ 92 08:52:53 5 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990 United States Region Division State Region United States Northeast Midwest South West 248 709 873 50 809 229 59 668 632 85 445 930 52 786 082 465 783 956 001 620 335 348 498 154 652 4 300 329 401 2 855 287 556 2 012 624 18 023 188 052 5 679 3 466 183 307 1 671 233 210 1 228 1 430 84 353 195 956 4 516 5 417 165 340 4 192 459 901 2 832 1 197 17 040 440 352 9 340 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 3 991 4 897 2 197 289 2 411 1 634 669 6 227 089 32 651 788 658 870 14 157 435 2 700 1 139 143 1 418 146 046 1 020 383 5 873 052 95 408 2 280 1 656 583 357 20 206 555 346 2 123 623 7 293 707 310 855 4 029 553 1 147 496 69 582 194 769 1 780 043 11 375 464 73 761 3 843 1 347 467 205 57 205 738 508 1 303 040 8 109 565 178 846 4 005 French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 10 320 935 57 947 374 1 110 373 40 529 38 735 539 14 664 550 49 061 39 600 6 317 4 009 2 637 321 9 928 722 413 246 4 140 9 420 118 7 503 740 2 503 10 829 492 1 468 2 640 874 22 477 450 255 780 10 904 9 643 261 2 429 651 34 408 14 769 2 448 666 2 964 481 14 630 411 234 530 5 594 12 950 799 2 473 371 4 174 4 657 1 212 1 029 2 078 259 10 910 791 206 817 19 891 6 721 361 2 257 788 7 976 9 345 2 165 846 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 3 869 395 1 153 351 4 310 184 1 148 857 25 469 4 519 678 880 5 617 773 5 393 581 241 229 563 801 1 991 78 561 732 3 695 647 52 958 772 250 1 088 462 2 000 129 29 814 112 29 29 673 7 691 1 670 221 666 1 078 883 1 135 343 369 485 90 924 297 24 90 603 6 434 1 275 100 981 2 616 155 1 768 494 1 258 552 468 812 1 910 53 466 849 7 649 927 303 275 1 150 485 1 401 282 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 50 389 4 680 863 1 045 495 5 748 2 033 893 3 885 42 409 2 005 14 669 170 4 446 13 353 1 858 855 378 239 426 493 214 755 7 986 429 9 274 671 099 181 425 619 545 082 1 301 12 724 596 13 701 1 481 378 315 213 390 548 974 887 16 173 726 Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 47 4 29 7 5 544 1 296 315 26 466 710 277 595 602 604 270 411 285 762 718 28 1 4 5 2 114 129 72 9 64 4 381 758 4 984 646 1 173 106 302 290 732 69 313 5 441 144 257 3 777 581 9 299 278 1 304 87 153 204 983 70 802 7 349 180 644 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 10 1 582 100 811 20 3 65 9 366 5 365 1 564 32 352 3 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 2 952 3 116 76 1 882 124 7 740 3 257 132 Total ------------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 16 864 47 6 7 34 4 380 1 119 29 061 531 618 313 623 942 5 526 254 3 186 39 5 5 28 1 21 294 10 282 735 238 022 953 263 097 643 794 117 EASTERN EUROPE AND SOVIET UNION 730 818 986 651 019 681 325 008 760 179 10 1 10 1 1 236 671 103 4 77 822 120 326 053 108 134 371 162 212 638 153 302 331 865 365 781 993 106 693 544 452 216 870 523 438 431 7 975 3 499 502 890 122 949 3 504 26 228 12 1 14 3 468 1 96 503 619 830 210 770 192 258 832 176 318 987 776 795 931 897 437 729 803 189 994 332 1 292 1 26 21 759 19 3 374 2 59 68 6 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 1 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 472 945 349 581 264 697 895 282 896 941 773 473 588 900 58 782 22 076 648 461 81 163 877 163 133 44 72 606 14 756 1 261 18 127 1 1 13 1 361 1 64 817 688 548 266 644 660 378 537 467 601 545 671 528 13 727 12 388 272 131 10 701 1 221 104 695 148 30 553 24 484 3 251 22 103 2 30 1 036 2 81 381 779 083 866 513 498 382 235 160 676 641 256 403 17 937 20 886 203 041 12 876 1 736 98 693 101 94 894 24 319 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State Region United States Northeast Midwest 4 015 2 879 464 4 144 17 862 2 911 29 269 6 083 11 745 17 922 South West CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------- 63 33 10 61 351 51 859 505 197 241 176 738 310 465 717 771 739 690 374 559 22 7 1 18 173 16 157 436 124 38 252 053 800 828 173 109 247 478 318 449 Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------- 1 113 116 43 11 586 177 88 5 161 1 955 499 259 635 521 983 077 649 415 866 323 153 149 35 5 142 15 33 2 61 1 289 66 104 254 342 829 620 302 357 788 858 537 South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 10 360 2 024 14 40 5 867 935 004 641 331 259 4 78 331 8 10 22 65 81 1 Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 15 14 2 18 113 13 594 53 30 36 867 476 026 252 859 968 106 021 356 218 21 9 6 20 46 18 79 10 30 148 715 590 448 049 125 179 556 8 350 209 974 8 709 347 46 17 3 774 90 31 1 43 293 114 411 298 193 379 541 049 642 312 124 707 555 29 17 6 648 67 18 547 181 319 044 646 672 690 17 160 158 061 573 2 685 271 2 131 614 3 20 3 817 738 708 806 696 706 2 133 919 2 6 922 875 665 217 6 230 31 099 65 127 590 2 456 4 997 2 031 12 2 956 17 234 11 306 347 21 35 4 37 7 11 2 3 5 7 081 455 941 819 364 188 811 415 773 268 3 29 2 28 5 8 1 2 4 4 142 229 507 199 625 819 937 315 841 662 1 145 627 430 807 189 118 115 48 117 220 16 4 1 7 1 1 61 289 435 76 7 159 4 530 521 024 270 621 167 139 1 158 256 52 3 104 1 668 470 637 473 546 248 897 Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------- 3 127 308 51 78 235 23 81 20 394 215 364 096 765 574 521 212 677 656 180 1 25 89 3 32 34 4 38 4 111 007 583 331 799 478 693 273 015 543 321 Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- 7 19 48 4 129 83 4 10 656 089 019 486 606 850 011 670 245 50 4 30 20 4 8 91 4 17 3 2 20 845 772 270 581 066 639 797 688 627 992 623 681 607 61 5 3 1 021 3 6 042 330 020 241 823 783 117 108 955 970 029 493 538 726 791 119 860 48 416 162 367 309 200 813 856 916 218 304 610 CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- 11 280 12 545 3 201 268 WEST INDIES (NON-HISPANIC GROUPS) 2 7 20 1 001 202 627 346 367 921 677 934 664 1 783 793 1 397 377 1 467 183 330 82 118 151 603 856 201 861 760 360 7 132 180 49 117 133 18 2 35 1 492 261 259 215 988 373 627 7 6 24 3 514 589 267 822 727 12 414 435 368 498 365 403 844 283 015 221 884 783 1 29 23 1 15 55 2 12 5 108 035 670 625 897 063 109 989 924 016 312 2 612 6 794 8 642 563 55 996 34 003 1 820 2 421 985 2 880 13 023 820 24 526 10 295 991 1 843 1 5 12 1 26 21 2 3 13 1 22 18 71 442 44 528 420 152 9 206 1 081 3 819 18 961 1 487 4 570 1 732 515 6 131 39 542 636 618 161 2 303 748 1 488 15 852 356 2 118 448 574 2 997 91 605 2 839 1 506 225 6 388 1 555 2 819 43 354 2 460 5 898 925 1 003 7 808 43 256 2 769 1 726 406 2 169 1 255 671 13 521 324 5 406 518 589 3 671 NORTH AFRICA AND SOUTHWEST ASIA 36 32 29 8 22 9 7 4 100 785 472 681 792 162 168 562 3 098 35 162 16 22 123 6 23 6 73 805 613 775 666 189 436 935 517 213 764 274 943 673 311 922 384 638 3 308 SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 2 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 7 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State Region United States Northeast Midwest South West 31 570 12 2 99 14 301 322 486 516 974 448 116 6 560 180 513 7 211 809 31 691 4 124 43 1 938 108 383 1 097 408 19 809 2 220 13 7 619 145 791 2 631 718 27 305 3 167 20 15 184 135 635 1 547 581 21 169 4 937 40 Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 15 107 8 134 25 1 505 14 1 450 84 5 523 172 646 955 020 245 177 512 823 774 2 19 1 25 7 374 1 149 1 1 195 279 644 543 393 410 937 972 619 627 2 578 15 837 975 11 470 1 338 118 844 1 452 127 070 36 530 493 5 27 1 18 1 185 2 181 1 076 252 794 572 572 231 921 898 141 607 5 44 4 79 14 826 7 991 45 3 674 804 233 370 717 760 867 572 533 047 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 43 1 004 2 836 146 27 3 10 2 192 112 535 2 969 645 979 987 930 800 507 554 419 973 117 825 185 6 669 89 521 814 180 288 14 481 4 569 1 082 305 538 44 141 14 773 50 348 372 4 156 84 897 108 119 455 28 597 4 424 377 575 325 20 748 16 842 45 010 192 6 631 107 527 481 169 025 27 401 6 523 784 1 166 494 37 565 32 396 148 704 410 26 722 1 368 76 12 1 8 1 90 48 291 1 513 700 576 219 451 284 264 508 062 519 106 763 211 52 4 7 39 256 3 7 11 10 55 16 8 133 427 472 237 081 406 742 330 854 419 019 674 9 613 159 191 1 997 6 822 79 1 153 787 676 901 122 600 8 559 175 95 1 900 9 079 289 751 1 014 959 1 695 249 842 13 360 901 193 7 204 18 121 482 1 741 1 974 2 185 3 498 676 1 513 20 3 6 28 222 2 4 7 7 49 14 5 601 192 993 112 059 556 097 555 034 325 972 719 Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------- 668 23 777 15 8 708 12 395 549 52 2 167 5 12 271 098 816 220 999 990 920 127 412 618 9 653 3 658 088 332 754 051 1 275 211 184 979 981 973 230 3 899 1 338 16 484 4 875 147 408 1 907 001 2 204 709 100 717 1 864 436 548 432 2 140 609 427 12 936 066 574 4 086 342 7 558 114 112 858 2 004 423 497 742 6 520 32 2 307 14 1 960 1 357 151 48 333 Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 5 305 643 1 799 489 841 561 711 309 SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- OTHER ASIA PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- NORTH AMERICA 3 164 101 121 107 385 193 033 6 317 77 033 114 282 230 641 100 867 916 3 855 120 845 996 4 832 528 1 32 341 946 707 797 502 826 965 436 071 852 339 2 620 400 402 677 103 109 665 32 021 86 409 501 934 94 997 282 11 101 628 678 405 4 132 095 OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- 3 389 599 23 921 371 8 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 3 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State Division New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific 13 206 943 37 602 286 42 008 942 17 659 690 43 566 853 15 176 284 26 702 793 13 658 776 39 127 306 Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 999 50 435 771 61 158 552 114 5 126 65 793 2 080 3 301 278 966 2 084 226 398 1 460 510 12 897 122 259 3 599 2 728 138 405 1 175 152 145 878 918 69 300 141 990 3 029 738 44 902 496 81 65 350 512 15 053 53 966 1 487 2 153 122 996 2 214 227 508 1 479 724 10 276 260 839 4 792 343 10 327 295 41 73 181 157 1 328 70 500 1 628 2 921 32 017 1 683 191 320 1 172 316 5 436 109 013 2 920 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 125 178 75 0 103 410 755 864 165 856 310 2 522 1 064 143 1 315 95 636 883 628 3 543 188 38 243 1 424 1 501 520 332 9 179 239 081 1 496 951 5 082 750 190 625 3 215 155 63 25 11 27 265 672 957 230 814 107 886 6 306 49 2 331 931 412 69 450 478 239 540 808 455 34 54 46 0 8 971 043 550 902 332 188 162 38 0 124 320 761 374 051 056 French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 1 590 707 1 307 116 137 313 1 668 2 948 634 1 835 919 762 944 181 606 1 046 614 8 621 606 275 933 2 472 6 471 484 5 667 821 1 741 9 885 311 862 1 816 430 14 775 614 218 564 3 360 6 655 116 2 044 546 18 996 14 338 1 845 436 444 836 216 544 145 105 412 431 603 230 1 264 676 7 881 678 170 102 3 538 6 376 855 1 671 248 2 647 3 379 774 706 384 360 2 177 176 20 231 578 2 580 937 217 775 407 397 79 146 1 315 445 4 571 557 44 197 1 478 3 993 007 584 348 1 120 881 359 177 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 72 934 443 753 1 902 53 441 798 1 015 117 20 446 249 130 465 724 168 295 120 048 89 25 119 934 2 680 530 32 512 523 120 622 738 713 424 21 409 42 29 21 338 5 120 1 526 80 025 705 146 822 675 1 286 705 8 405 70 0 8 335 2 571 144 141 641 373 737 312 668 207 706 64 692 226 17 64 449 3 647 665 57 625 1 374 240 1 047 924 31 994 5 991 5 0 5 986 641 271 11 733 503 642 277 659 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 3 873 305 296 29 424 145 73 965 176 1 970 65 10 364 141 4 372 11 376 885 338 273 152 332 356 125 547 4 958 264 1 977 973 517 105 087 94 137 089 208 3 028 165 5 753 380 329 104 653 552 325 604 828 6 700 359 Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 12 225 253 953 298 386 7 241 26 310 13 467 2 428 16 497 16 1 4 5 1 107 103 58 7 47 9 926 1 065 8 267 954 735 190 979 354 871 66 621 3 145 48 038 896 55 2 059 99 373 45 155 316 500 36 541 1 067 29 600 3 414 628 3 126 563 899 59 161 88 635 35 244 4 373 81 274 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 213 82 828 10 592 128 984 600 166 2 958 809 571 155 17 040 1 481 22 223 2 239 388 278 539 838 265 5 017 2 689 931 735 105 909 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 250 307 103 1 184 2 787 76 273 1 522 792 49 481 9 6 358 13 708 1 042 1 25 18 682 18 3 324 2 53 55 Total ------------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) 50 136 2 329 57 188 235 194 168 658 766 3 556 189 316 626 2 210 120 824 7 701 37 7 2 988 385 15 745 440 675 262 926 487 218 6 347 83 313 2 166 50 15 1 1 12 2 136 23 3 4 15 537 295 563 760 027 776 879 15 296 211 481 7 951 316 65 21 0 44 938 819 048 262 927 1 031 402 184 57 161 401 570 913 221 5 266 517 136 584 3 078 581 358 961 945 297 972 471 916 600 188 1 504 678 7 433 433 155 856 13 946 4 800 064 1 715 816 5 505 8 429 1 565 658 129 785 20 241 66 7 20 168 2 146 339 31 623 738 273 442 911 357 392 28 980 149 12 28 819 2 430 206 102 203 330 609 430 824 901 160 439 832 1 761 41 438 030 5 219 721 201 072 819 876 970 458 911 70 863 27 497 32 77 293 174 1 701 37 2 610 219 907 49 275 35 142 185 299 4 323 200 3 275 482 921 102 233 212 190 595 229 3 520 162 10 426 998 457 212 980 178 358 379 658 12 653 564 289 49 536 7 134 581 010 106 291 760 678 81 1 322 76 140 26 560 190 087 29 963 777 35 223 778 62 2 038 100 250 23 900 71 967 20 587 1 209 45 439 2 999 519 7 261 178 1 054 63 253 133 016 50 215 6 140 135 205 1 60 3 24 2 191 18 79 1 18 313 1 977 6 68 580 3 091 17 1 336 389 2 843 42 573 3 477 50 5 1 921 541 2 EASTERN EUROPE AND SOVIET UNION 505 565 033 353 633 440 015 541 332 682 165 842 165 794 991 175 103 801 887 583 065 DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 4 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 1 461 21 205 12 1 42 5 22 20 12 4 27 753 975 061 529 288 794 7 162 2 979 889 822 84 360 750 644 769 681 482 398 7 096 488 943 354 11 958 969 238 217 431 158 337 7 037 962 041 580 51 189 169 18 747 1 231 7 356 115 55 1 959 92 364 298 3 703 679 43 703 3 100 19 479 371 1 268 4 382 307 132 589 9 709 032 254 905 446 695 130 6 917 289 648 437 13 537 23 746 1 68 353 972 747 52 620 15 385 568 825 72 316 687 139 059 30 58 586 11 662 119 616 153 6 162 6 691 79 636 8 847 190 24 074 14 14 020 3 094 448 460 421 10 011 8 389 189 227 7 100 1 049 81 661 73 19 528 20 100 24 106 28 984 1 071 19 775 890 33 5 710 0 3 162 1 253 73 105 79 2 732 2 928 63 129 2 711 139 17 324 75 7 863 3 131 112 096 95 5 209 6 156 69 900 5 685 319 23 252 31 21 706 3 254 529 160 308 12 728 14 730 133 141 7 191 1 417 75 441 70 73 188 21 065 199 14 100 1 349 525 178 420 818 368 465 587 723 139 9 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State Division New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central 3 278 2 142 462 3 059 14 531 2 331 24 322 5 196 10 392 16 915 737 737 2 085 331 580 947 887 353 007 12 472 12 527 942 14 861 93 814 10 044 564 962 46 620 24 442 22 705 378 170 49 419 1 905 473 4 102 1 432 905 477 3 1 1 2 18 3 25 4 5 13 263 18 10 3 488 11 7 Mountain Pacific CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------- 3 170 1 311 110 2 977 20 305 2 846 13 768 43 237 6 339 10 826 Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------- 28 4 1 25 1 2 South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 19 5 1 15 152 13 143 393 117 27 082 742 690 851 868 263 479 241 979 623 364 177 013 929 198 364 315 7 373 209 670 9 854 120 31 4 116 14 30 2 54 1 080 56 740 077 329 900 422 938 042 415 188 683 285 599 868 617 460 188 381 6 967 199 870 7 323 14 430 991 580 182 432 665 1 991 175 1 383 10 104 1 386 79 27 6 254 78 21 1 35 237 59 639 188 174 785 636 759 325 533 662 670 4 479 779 464 31 276 506 1 812 36 683 9 343 351 529 8 203 67 919 920 2 299 167 4 69 263 7 8 018 978 400 124 347 505 593 13 221 115 087 325 1 993 220 97 3 939 42 974 248 692 51 2 91 310 3 15 3 137 834 304 090 952 125 176 2 749 32 973 49 672 84 5 985 20 139 63 778 558 2 359 3 799 1 445 12 97 1 198 586 0 1 775 13 902 9 969 280 831 539 367 661 133 86 105 48 88 201 314 88 63 146 56 32 10 0 29 19 15 3 1 5 1 1 319 327 163 523 252 5 688 164 1 537 874 2 698 237 108 1 444 16 2 113 121 15 2 27 1 915 998 260 096 317 531 337 3 381 710 2 882 549 102 1 875 89 287 302 465 154 838 465 629 747 361 635 81 3 196 2 900 249 2 006 6 818 386 1 474 523 19 148 17 18 1 10 33 2 9 2 61 651 668 017 043 257 293 055 835 473 709 47 4 2 838 2 4 1 3 4 1 1 017 779 035 972 140 451 042 969 009 036 293 331 555 318 399 478 281 7 096 46 119 54 686 1 772 887 240 2 580 4 918 1 568 11 365 1 780 1 428 4 285 227 1 1 1 108 2 3 19 8 5 17 41 17 67 8 29 144 270 443 780 661 905 215 752 328 527 685 602 734 296 796 378 260 175 3 897 21 768 6 712 327 27 16 5 539 65 14 427 759 242 930 413 859 685 44 519 140 599 302 488 504 37 155 271 431 667 4 072 497 424 52 062 415 896 283 1 235 120 2 81 504 1 5 30 642 283 0 1 151 2 690 1 054 67 318 2 049 210 0 10 962 10 496 2 991 268 514 122 192 221 54 37 15 14 19 82 468 606 162 1 127 311 295 29 309 63 120 206 125 27 261 44 28 19 3 80 87 587 1 272 350 1 206 139 302 63 115 71 516 389 794 020 935 069 490 CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- 245 10 960 1 349 32 WEST INDIES (NON-HISPANIC GROUPS) Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------- 376 4 483 682 1 918 398 168 97 249 175 831 2 24 1 26 5 8 1 2 4 3 766 746 825 281 227 651 840 066 666 831 Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 211 30 156 33 327 3 746 359 11 811 180 1 128 223 48 3 92 1 457 314 310 727 187 437 717 4 44 1 3 7 321 495 314 952 492 492 528 4 633 470 48 737 21 45 1 28 27 3 33 4 62 686 088 017 847 986 201 745 382 073 584 327 843 1 356 231 13 482 4 669 38 476 2 285 5 951 7 286 332 42 514 29 334 1 782 1 945 613 2 200 11 871 531 19 819 8 192 907 1 288 372 680 1 152 289 4 707 2 103 84 555 10 701 42 647 158 36 1 182 220 1 081 3 037 182 1 321 112 236 1 091 60 741 1 881 262 116 8 024 861 2 738 15 924 1 305 3 249 1 620 279 5 040 29 313 473 465 124 1 902 494 924 10 986 259 1 800 340 375 2 027 10 229 163 153 37 401 254 564 4 866 97 318 108 199 970 1 6 18 1 019 474 273 998 002 589 633 611 582 1 581 43 2 9 2 196 553 117 570 569 5 967 201 2 606 806 2 696 446 138 1 636 63 4 5 21 3 908 783 571 376 589 10 778 372 20 2 571 1 309 198 1 020 4 217 220 598 756 12 839 364 9 431 4 299 656 3 786 17 599 714 2 491 1 787 33 764 115 4 932 7 242 571 1 624 8 232 549 2 081 432 16 810 047 607 804 000 225 204 443 1 789 166 167 1 154 130 1 923 1 617 46 487 572 698 3 723 662 8 014 4 347 73 822 214 694 1 314 446 4 352 2 804 34 556 2 060 3 249 12 359 865 18 570 15 580 604 2 752 59 483 2 227 1 208 178 4 983 909 2 227 22 592 2 012 3 625 733 834 5 973 10 160 153 0 22 152 85 120 4 153 32 358 76 23 306 21 962 459 298 25 1 253 561 472 16 609 416 1 915 116 146 1 529 6 270 196 54 62 270 104 23 2 115 0 742 150 76 697 36 986 2 573 1 672 344 1 899 1 151 648 11 406 324 4 664 368 513 2 974 NORTH AFRICA AND SOUTHWEST ASIA Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- 33 29 29 6 15 8 5 4 81 1 4 7 1 16 15 30 155 16 20 115 6 21 5 56 690 681 533 095 565 204 386 436 781 954 SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- 10 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 5 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State Division New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific 665 26 275 381 231 3 551 590 9 5 895 154 238 6 830 578 28 140 3 534 34 1 068 91 737 872 341 17 201 1 327 6 870 16 646 225 67 2 608 893 7 6 239 83 491 1 683 521 15 901 2 191 20 157 12 397 277 35 1 162 172 0 1 223 49 903 671 162 10 242 804 0 1 154 12 191 237 152 2 179 575 0 14 030 123 444 1 310 429 18 990 4 362 40 Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 577 3 696 294 17 586 1 105 64 558 578 19 475 1 060 292 1 15 1 7 6 309 1 130 618 583 350 957 288 852 359 497 559 1 335 1 453 12 270 881 6 293 1 146 91 281 1 124 106 092 18 815 364 1 125 3 567 94 5 177 192 27 563 328 20 978 17 715 129 3 14 1 10 024 667 385 688 822 103 888 1 927 119 096 906 315 544 2 748 91 1 520 83 14 246 295 10 913 26 17 1 508 9 837 318 6 364 667 67 097 699 51 889 209 275 1 279 4 261 248 3 402 339 39 312 926 38 683 1 395 86 4 40 3 75 14 787 6 952 44 2 395 543 985 968 378 448 941 889 138 961 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 1 327 19 563 545 23 256 9 369 983 108 65 130 6 169 3 609 18 626 48 5 342 69 958 269 157 032 5 112 3 586 974 240 408 37 972 11 164 31 722 324 3 068 64 460 62 85 743 14 993 3 081 326 422 236 15 240 11 326 22 644 104 1 088 20 437 46 33 712 13 604 1 343 51 153 89 5 508 5 516 22 366 88 3 864 62 157 326 108 266 10 955 3 344 383 680 252 19 243 19 613 56 586 272 611 13 102 5 14 906 3 602 917 95 157 43 2 922 2 366 8 737 19 2 156 32 268 150 45 853 12 844 2 262 306 329 199 15 400 10 417 83 381 119 1 889 46 807 18 31 888 6 031 879 304 445 69 4 556 7 854 17 977 106 24 675 1 336 70 11 85 40 273 1 624 893 558 331 420 405 960 063 993 963 252 786 105 2 869 61 33 492 1 786 15 395 170 159 213 38 122 6 744 98 158 1 505 5 036 64 758 617 517 688 84 478 6 063 127 41 1 068 5 740 78 477 828 489 606 70 577 2 496 48 54 832 3 339 211 274 186 470 1 089 179 265 8 271 607 120 3 550 9 742 200 1 191 1 155 1 046 1 981 145 964 1 557 82 8 726 2 163 42 77 185 278 507 10 132 3 532 212 65 2 928 6 216 240 473 634 861 1 010 521 417 4 548 204 103 2 078 10 200 357 865 816 1 480 3 254 4 147 854 16 2 6 26 211 2 3 6 5 46 10 4 053 988 890 034 859 199 232 739 554 071 825 865 4 738 392 392 80 227 371 404 788 115 597 325 755 924 2 809 399 4 915 3 265 696 252 526 680 870 423 69 382 656 217 306 1 090 939 10 196 4 107 796 281 1 244 276 1 577 339 84 666 965 335 442 291 1 535 6 288 767 351 127 662 725 627 370 16 051 899 101 106 141 605 37 241 7 105 744 286 1 557 713 3 598 563 79 517 948 223 732 625 3 506 24 461 2 510 316 62 862 348 2 243 648 10 177 291 35 977 31 1 465 547 725 3 320 006 226 1 666 281 1 715 903 23 164 765 163 788 86 1 549 9 153 316 954 477 725 235 409 847 29 541 1 280 86 830 70 565 23 1 990 14 1 235 948 121 46 247 878 988 548 962 0 229 161 397 77 645 68 071 6 172 55 213 85 824 154 394 40 145 21 820 28 458 76 247 60 636 23 079 177 391 355 622 59 50 2 554 80 387 214 413 13 714 6 769 83 899 376 068 37 119 10 730 21 866 135 335 35 546 21 291 64 543 366 599 59 192 036 885 147 675 880 2 969 973 671 844 3 416 040 174 152 1 416 488 494 720 5 693 245 189 800 2 576 733 312 762 2 831 650 190 589 1 048 171 487 816 3 083 924 SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- OTHER ASIA 8 PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- NORTH AMERICA Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 2 2 23 52 554 843 025 591 118 895 791 022 269 2 055 OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 6 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 11 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia 4 040 587 550 043 3 665 228 2 350 725 29 760 021 3 294 394 3 287 116 666 168 606 900 Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 31 2 497 82 24 44 14 59 290 19 913 500 12 1 695 245 37 38 170 0 172 3 012 107 251 12 212 1 316 53 298 965 74 1 651 18 034 590 68 1 746 104 20 21 63 29 359 9 383 205 865 645 122 387 508 227 634 10 229 151 050 5 420 215 16 568 937 148 110 679 43 2 055 19 730 746 368 20 333 319 22 64 233 42 1 196 17 547 529 77 2 203 13 0 7 6 0 219 4 378 57 68 2 533 37 0 16 21 33 147 3 803 76 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 8 0 0 0 0 180 037 499 759 68 0 10 0 0 10 993 365 600 773 35 86 44 0 0 44 859 326 458 395 219 36 34 0 0 34 5 014 72 670 290 462 983 53 262 591 3 645 64 2 681 324 157 57 110 101 618 975 302 130 93 0 0 0 0 801 024 886 632 304 55 36 22 0 14 739 183 919 486 190 0 13 13 0 0 1 732 14 956 122 759 872 39 14 22 6 0 16 1 264 3 768 34 266 479 96 Total ------------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) 5 76 479 1 5 14 76 3 36 95 586 10 1 104 19 3 3 12 42 100 581 8 16 37 462 7 French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 93 104 430 442 6 895 210 617 065 52 969 113 107 28 12 23 844 127 103 1 665 131 74 322 14 467 79 15 13 0 155 951 878 088 12 799 759 529 575 159 140 924 435 67 73 75 026 400 234 2 734 95 464 287 30 199 104 63 37 22 1 032 843 4 935 147 125 792 6 512 3 425 089 1 439 778 3 487 8 029 1 048 538 148 950 1 063 694 11 999 939 537 945 155 844 629 144 102 51 260 064 450 247 26 646 444 613 765 628 232 234 280 22 159 19 190 138 128 3 203 29 139 180 63 467 7 40 0 0 8 566 39 218 2 279 91 34 392 11 662 72 61 17 0 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 8 489 1 408 5 0 1 403 167 35 2 845 127 826 76 020 23 087 1 628 0 0 1 628 77 0 4 814 12 850 16 996 70 940 7 338 27 0 7 311 569 47 16 735 82 552 93 835 8 778 1 337 6 0 1 331 97 6 2 343 67 388 36 231 411 282 356 495 1 630 26 354 839 3 430 527 102 310 546 496 646 674 75 646 4 654 16 0 4 638 707 45 17 002 95 012 100 952 19 004 43 098 99 5 42 994 368 48 5 029 45 742 82 319 3 036 1 127 0 0 1 127 18 0 966 13 847 16 796 2 620 870 7 0 863 17 0 736 5 943 8 194 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 297 18 235 4 107 15 18 809 50 524 13 124 17 716 2 902 0 5 774 0 187 28 1 157 92 248 16 700 14 38 340 35 419 32 142 16 168 5 280 0 12 436 20 401 10 8 654 587 772 140 351 138 238 134 514 8 666 343 763 125 097 20 288 78 41 520 58 1 167 72 991 79 374 10 558 64 19 018 98 399 21 101 7 659 1 860 161 9 759 19 114 0 29 3 531 1 632 0 2 477 14 86 0 26 15 197 0 96 336 031 109 110 769 197 0 110 0 8 518 2 834 878 95 3 598 189 30 431 60 43 769 043 374 323 645 36 23 54 14 16 145 175 115 33 422 2 261 368 5 277 128 874 47 822 88 286 35 510 4 101 89 777 198 24 591 40 93 437 184 662 391 921 2 745 71 181 262 120 2 669 10 682 6 162 1 088 3 689 123 18 13 0 0 542 1 449 736 123 906 60 27 57 0 22 547 1 034 483 48 1 777 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 23 4 117 252 1 809 18 19 777 21 907 11 816 24 2 200 179 1 267 2 0 611 12 294 0 549 283 22 433 1 029 9 353 243 13 1 081 102 405 112 5 714 47 2 300 198 1 456 21 8 348 17 600 130 427 563 121 652 871 498 260 188 256 213 417 469 16 861 1 772 7 232 122 95 2 131 82 257 89 3 211 116 49 508 2 389 41 747 285 47 670 312 587 57 6 359 40 3 468 438 2 695 13 0 38 38 286 0 680 85 2 518 552 1 789 38 0 167 9 879 0 987 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 5 157 0 182 162 5 022 247 2 1 585 0 656 368 6 032 0 274 254 1 895 97 0 962 0 1 374 337 35 508 28 1 772 1 456 21 335 1 104 78 8 471 0 4 869 1 017 2 595 0 155 146 3 752 76 0 870 0 450 120 447 752 270 10 605 10 803 101 328 5 546 1 262 56 211 55 53 442 18 469 36 134 19 1 271 2 225 24 257 3 194 147 6 984 0 4 840 1 335 79 884 65 374 1 106 49 891 864 107 23 711 9 2 786 3 347 6 839 16 183 193 4 697 79 7 4 950 3 364 342 12 353 0 163 73 1 378 169 67 1 082 0 386 1 272 EASTERN EUROPE AND SOVIET UNION Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 5 3 1 8 12 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 7 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 6 18 5 8 3 4 1 3 1 159 13 63 1 14 578 1 57 6 24 6 10 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Colorado Connecticut Delaware District of Columbia 390 989 712 124 427 379 152 032 698 017 391 179 39 466 810 325 2 049 547 456 640 1 407 182 3 1 183 7 098 942 5 377 4 253 3 212 1 304 43 36 0 98 369 67 649 245 41 59 300 764 29 316 822 128 911 1 568 688 1 053 271 834 631 170 285 015 634 42 322 113 548 300 102 53 798 209 339 198 902 244 1 272 66 1 264 6 020 595 12 428 593 410 7 555 420 543 133 3 897 93 608 1 018 1 229 55 20 2 515 41 341 75 39 5 246 115 1 147 365 176 2 361 850 581 165 933 1 089 8 547 2 74 434 1 4 134 787 759 837 575 471 126 14 052 121 029 75 391 38 168 3 599 23 222 216 599 60 27 291 2 514 0 18 0 24 529 3 628 80 104 5 9 18 0 0 10 848 9 357 2 671 233 44 307 85 0 82 2 489 698 0 0 89 38 0 0 524 757 0 70 26 0 80 14 0 12 0 34 20 14 22 20 22 0 15 0 0 0 7 398 1 160 176 994 91 265 63 97 55 423 24 36 7 43 15 8 0 0 13 7 154 972 127 493 76 8 83 147 37 142 48 74 32 22 6 0 0 0 13 3 48 102 70 298 34 117 19 5 95 28 51 91 186 41 0 140 0 782 319 1 005 250 67 649 51 2 679 39 180 24 0 211 10 841 054 237 100 517 9 136 315 421 198 819 58 71 409 0 89 5 004 20 219 899 63 3 842 139 14 242 1 118 158 9 289 8 0 937 3 184 1 012 131 1 164 23 2 757 353 42 279 1 118 45 135 287 3 672 11 148 138 0 0 144 0 14 0 279 0 1 600 2 519 302 568 2 351 243 966 195 6 296 0 303 185 111 43 343 47 26 13 817 579 688 340 736 597 871 080 651 503 776 108 1 394 1 686 106 489 2 105 158 423 71 3 544 38 815 5 218 1 212 735 1 669 85 1 320 57 8 612 0 250 294 0 221 254 39 162 24 533 26 493 369 62 291 1 144 44 146 16 1 070 18 73 367 33 270 592 0 36 0 5 15 0 76 66 0 7 99 163 497 143 1 820 772 18 239 2 20 144 128 301 166 0 36 1 836 2 981 11 566 517 15 803 12 929 525 2 168 55 118 489 224 801 792 0 151 53 187 322 93 1 843 1 329 0 78 0 74 94 11 202 327 0 22 43 353 186 75 116 309 16 50 3 120 0 0 0 17 11 33 1 401 0 78 57 13 95 361 20 0 0 5 0 0 53 0 0 0 0 20 2 073 104 0 43 148 5 0 557 0 265 85 0 260 1 125 67 0 0 45 23 0 894 0 19 0 8 44 32 413 2 433 1 438 315 1 681 942 639 10 027 275 4 299 305 436 2 377 1 566 29 34 0 84 21 23 730 0 227 40 45 270 3 064 3 047 21 0 375 28 83 803 26 496 50 20 314 774 0 0 0 6 9 22 231 0 36 7 17 93 4 750 145 180 11 168 33 101 1 762 167 129 126 26 662 Alabama Alaska Arizona Arkansas California Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------- 63 70 19 95 574 177 1 260 326 150 108 54 42 3 138 421 47 366 394 20 56 413 198 148 655 1 517 441 2 314 383 364 1 359 15 41 22 68 270 21 331 183 32 137 18 7 5 16 39 16 64 7 28 143 Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------- 1 151 278 58 7 556 137 540 36 119 2 659 80 1 232 40 0 6 888 113 203 0 246 1 623 161 50 573 693 358 520 009 606 733 30 950 6 840 1 697 919 90 70 10 835 102 219 9 65 1 069 179 303 26 15 5 322 64 13 South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 49 631 9 366 16 221 31 0 442 4 252 0 20 2 126 6 385 44 059 70 363 11 21 501 5 668 0 63 0 8 188 133 0 0 64 72 0 154 617 42 0 Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------- 167 64 97 62 24 0 7 0 10 21 20 6 0 33 16 0 0 6 0 11 Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 583 188 814 225 28 692 22 Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- WEST INDIES (NON-HISPANIC GROUPS) 3 5 19 3 NORTH AFRICA AND SOUTHWEST ASIA 27 151 15 19 108 6 20 5 49 SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 8 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 13 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia 19 3 686 116 13 365 26 0 0 466 0 0 21 14 0 220 4 642 85 30 549 171 0 58 1 202 12 26 226 0 0 13 018 112 560 1 256 224 17 729 3 827 34 456 2 764 40 84 666 184 0 131 8 866 75 15 1 301 234 0 30 1 518 27 6 217 92 0 42 1 150 67 8 228 110 0 Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 130 738 22 363 11 3 529 133 2 305 0 0 100 288 3 75 0 1 549 40 8 584 0 0 343 1 273 79 958 110 12 542 291 10 069 24 24 110 393 0 81 19 1 575 53 2 166 0 0 3 34 3 63 13 641 5 709 42 2 022 715 636 431 457 250 728 599 843 761 331 1 232 18 929 103 9 117 193 7 270 1 080 36 143 966 0 1 217 37 10 217 176 6 272 0 31 21 170 23 65 27 1 813 27 1 479 0 8 96 290 77 92 63 2 574 34 2 035 0 35 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 110 3 516 5 3 969 746 202 6 64 0 1 003 674 2 136 0 56 3 009 0 4 349 233 62 44 10 0 193 432 429 0 506 8 430 0 7 300 581 245 49 237 4 1 704 1 800 4 511 21 64 1 586 0 1 470 2 004 170 0 0 0 342 368 1 788 16 21 353 1 260 59 9 767 251 317 822 976 755 828 799 890 658 654 946 709 608 15 198 12 12 490 1 771 132 82 110 27 1 062 1 645 6 679 51 323 5 000 9 5 427 2 720 498 21 8 74 1 127 710 3 671 0 50 989 0 1 463 122 14 0 0 0 444 270 475 9 223 1 260 0 943 33 89 0 9 17 278 335 663 9 442 8 8 141 436 5 12 40 43 34 0 8 197 0 2 234 985 28 32 188 152 533 121 48 869 61 31 571 2 324 104 117 242 189 374 244 183 95 0 0 175 318 21 35 0 48 36 2 54 12 1 5 19 43 006 851 866 820 418 615 460 869 545 444 056 031 786 64 43 697 1 931 101 144 163 171 295 0 102 976 35 13 82 353 0 92 49 23 48 0 34 96 0 0 21 96 0 0 23 0 0 0 17 129 0 0 31 121 0 25 21 0 8 0 33 852 834 244 506 350 440 024 335 0 35 2 459 91 580 57 255 131 96 176 9 644 263 25 248 23 139 5 237 307 292 44 228 070 305 459 1 306 133 5 981 7 163 18 1 784 1 838 658 86 1 156 337 171 091 458 879 341 854 625 186 1 712 2 528 115 008 67 107 287 91 998 6 191 303 21 859 12 202 784 189 181 0 40 309 70 810 13 768 24 110 426 62 79 247 94 890 0 16 278 27 697 1 248 8 2 990 0 14 167 315 318 29 7 331 10 639 603 0 1 717 23 13 SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- OTHER ASIA 1 79 33 242 PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- 2 4 3 26 7 2 NORTH AMERICA Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------- 5 780 838 689 29 236 720 687 394 2 650 50 9 185 6 334 Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 14 395 18 179 60 705 0 17 354 615 7 445 8 13 2 645 5 177 37 431 0 23 682 8 582 37 817 0 369 12 742 48 851 267 505 39 39 3 569 4 410 27 241 25 107 904 5 598 11 125 0 0 2 396 1 373 2 910 0 0 59 999 2 258 0 27 612 662 139 8 091 39 866 49 752 322 159 27 446 403 077 331 630 2 332 327 42 904 219 721 36 781 226 842 8 097 61 228 5 539 72 395 18 10 50 22 1 42 5 OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- 14 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 9 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas 12 937 926 6 478 216 1 108 229 1 006 749 11 430 602 5 544 159 2 776 755 2 477 574 Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 805 63 932 1 189 117 334 738 227 4 636 76 630 1 172 155 9 396 128 11 27 90 29 1 099 39 724 738 76 1 943 169 19 29 121 13 171 2 882 114 28 2 759 5 587 166 353 5 068 34 310 5 121 122 888 49 970 445 49 75 321 184 13 131 34 734 564 286 8 330 190 55 0 135 102 5 180 24 749 470 138 4 516 59 20 8 31 48 2 997 7 960 228 100 6 541 70 10 24 36 126 1 719 10 028 252 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 109 330 140 28 162 654 077 667 031 634 62 55 29 0 26 404 322 698 978 315 4 9 9 0 0 455 839 569 422 63 10 0 0 0 0 297 881 516 937 44 160 177 131 0 46 586 339 917 636 849 28 68 29 0 39 918 589 070 470 414 44 8 4 0 4 202 769 466 401 144 0 0 0 0 0 878 645 709 717 115 Total ------------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 46 279 1 845 25 508 2 410 66 1 1 898 784 1 2 10 112 889 4 3 9 71 1 40 35 290 3 70 264 1 140 20 14 198 767 4 84 175 389 2 18 99 405 1 205 257 861 348 822 770 259 190 351 285 155 250 810 165 14 795 353 970 713 111 940 192 182 85 39 21 674 102 714 1 589 127 65 473 21 535 162 41 4 0 45 801 278 615 2 525 408 141 901 23 736 207 28 149 6 355 629 3 326 248 93 046 981 1 860 989 729 000 9 249 314 634 118 209 181 2 084 667 18 978 224 965 080 124 581 685 121 78 52 103 265 1 394 542 6 233 310 527 428 45 213 6 153 80 95 26 109 945 968 078 3 986 169 435 784 44 528 361 49 81 79 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 90 375 32 345 120 4 32 221 1 270 258 20 057 320 217 316 732 21 388 4 925 0 0 4 925 558 56 6 978 192 187 141 833 9 054 57 125 7 7 57 111 126 30 1 748 10 628 13 784 32 956 2 717 43 0 2 674 162 2 10 349 26 230 39 890 167 003 6 810 2 29 6 779 1 093 68 23 446 173 035 176 096 25 978 2 476 8 0 2 468 455 147 6 528 113 568 111 535 152 084 1 097 0 0 1 097 273 25 13 221 64 500 53 694 21 878 1 414 8 0 1 406 588 12 4 700 74 643 57 460 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 2 887 171 780 37 877 93 103 115 360 1 327 164 538 39 612 9 210 28 37 811 53 1 255 37 157 10 396 1 948 22 4 596 0 168 0 127 52 892 12 680 8 20 746 38 387 0 2 824 374 965 47 057 26 63 144 174 1 330 68 716 69 619 44 511 28 42 004 116 735 53 182 120 470 18 886 0 29 060 35 680 26 102 79 188 18 105 4 27 031 16 632 21 Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 1 812 232 1 396 220 449 18 020 35 993 15 085 1 501 22 179 202 15 205 10 53 651 199 817 236 216 63 8 137 0 25 679 1 553 703 48 1 622 21 0 80 0 4 981 5 252 1 260 71 3 757 2 837 627 2 136 75 266 61 284 131 503 23 927 1 164 14 040 255 42 944 78 13 633 582 458 315 263 86 12 437 0 36 295 690 142 93 071 66 0 219 11 3 511 629 564 78 333 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 145 99 822 5 725 41 713 583 134 1 920 410 666 306 29 675 59 13 418 1 035 6 751 74 21 732 67 171 30 3 850 40 2 631 224 1 411 6 0 170 11 795 29 610 29 2 455 47 831 74 5 785 11 540 115 470 464 439 978 417 264 438 1 807 962 827 275 23 202 167 828 622 098 210 21 1 078 179 501 147 7 725 67 3 710 965 3 090 17 27 1 250 32 502 24 917 659 4 058 384 2 079 17 90 689 34 844 34 940 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 232 298 65 4 082 3 136 74 335 2 733 350 33 792 16 9 462 5 900 29 235 57 558 755 13 110 726 65 4 967 16 1 317 1 699 5 246 16 188 164 2 087 73 0 1 234 6 678 95 4 155 6 161 207 2 582 112 11 906 0 1 137 53 144 656 120 15 503 3 658 120 400 11 743 322 38 414 13 19 145 4 901 18 288 67 8 418 1 252 44 412 1 495 91 6 379 0 4 214 549 7 669 21 639 454 10 599 397 14 1 356 8 1 047 226 16 484 0 454 479 8 085 1 085 76 2 075 0 1 425 371 EASTERN EUROPE AND SOVIET UNION 9 7 2 14 DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 10 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 68 6 109 1 18 11 3 7 40 1 11 3 5 58 6 4 8 21 3 6 15 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------- 8 356 2 904 548 8 856 78 183 7 130 541 011 36 116 16 377 12 137 455 352 35 441 3 308 510 6 530 1 301 778 962 89 8 24 55 244 84 314 259 176 60 68 41 0 106 120 36 140 19 32 92 1 759 1 423 285 1 580 9 747 1 000 14 625 2 518 9 009 15 263 199 154 19 237 667 241 1 537 426 272 203 79 55 0 129 200 111 388 162 70 132 75 145 0 172 505 159 1 111 108 537 336 Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------- 54 21 4 134 70 10 960 682 188 161 374 907 269 21 784 174 445 10 502 4 071 789 327 37 267 694 2 133 60 1 581 11 512 1 783 1 133 161 73 10 720 101 241 0 143 16 432 111 3 018 74 70 35 591 127 93 3 170 512 114 248 212 338 536 366 903 207 4 821 121 871 5 951 3 287 224 433 60 593 101 567 46 273 13 164 156 1 547 208 140 21 255 103 304 18 95 762 299 4 895 174 121 65 729 117 444 77 256 2 342 306 South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 1 78 201 2 12 2 031 656 059 039 362 644 167 2 703 21 116 254 697 125 43 1 332 12 998 15 45 0 0 767 8 159 0 4 0 253 6 845 41 586 183 654 117 19 1 246 11 734 15 191 23 17 367 4 211 29 21 21 22 1 067 10 046 10 285 0 1 334 7 788 4 497 247 63 742 530 7 31 67 49 0 3 129 0 0 2 118 1 729 679 0 129 419 81 0 10 153 60 0 33 243 5 0 13 668 1 770 400 3 678 685 850 417 344 331 1 051 462 287 203 341 58 39 66 84 21 73 5 30 56 24 12 0 0 12 0 0 8 0 0 0 0 0 0 0 0 0 286 195 92 191 35 7 19 10 47 73 64 62 22 11 0 0 0 0 11 0 68 6 7 16 0 16 0 0 0 0 44 21 7 29 6 0 0 0 12 11 903 495 231 500 353 350 861 600 1 183 6 262 616 213 2 064 41 46 215 443 63 6 268 0 176 32 78 43 0 53 0 232 4 597 7 734 444 53 2 093 32 256 316 1 368 157 63 494 17 79 50 104 31 2 75 0 476 85 442 71 0 326 2 Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------- 169 7 233 7 424 414 3 119 6 088 696 5 518 615 24 322 133 1 198 1 122 101 1 043 3 279 90 415 300 5 792 0 254 478 9 125 352 0 74 0 504 0 183 147 59 40 366 26 45 7 285 89 468 431 759 407 458 638 528 833 299 10 1 513 1 052 398 571 1 230 47 521 170 3 610 15 391 304 0 221 787 30 125 130 2 180 10 579 358 66 228 1 155 74 137 103 2 937 Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- 324 1 400 2 786 324 8 225 5 809 152 621 82 89 420 45 1 032 1 478 8 195 35 24 10 11 152 229 13 33 8 10 23 13 145 103 0 0 283 690 5 534 157 3 367 2 778 25 330 23 138 471 49 1 773 842 0 117 58 44 165 33 660 301 0 77 75 81 270 7 450 205 0 57 13 065 718 91 14 415 76 199 2 922 210 1 379 47 41 786 10 212 204 163 32 531 134 563 5 040 146 700 8 143 931 308 50 0 0 17 6 0 13 0 13 0 8 33 80 0 0 0 0 4 0 96 0 43 0 0 16 10 106 111 129 14 1 167 171 282 4 455 17 599 147 137 675 3 108 53 0 21 111 12 39 720 19 109 9 30 201 926 0 0 0 51 31 9 423 0 35 18 31 225 1 628 69 0 4 94 62 32 344 0 18 38 69 100 CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN 22 3 1 557 1 1 CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- WEST INDIES (NON-HISPANIC GROUPS) Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 105 86 7 1 13 NORTH AFRICA AND SOUTHWEST ASIA 10 8 13 2 6 1 2 1 8 SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- 16 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 11 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas 196 22 240 425 67 3 835 422 0 503 9 868 165 21 1 665 73 0 44 719 24 79 192 186 0 6 382 0 0 92 14 0 557 45 778 233 16 11 237 405 0 129 6 093 98 13 1 035 267 0 37 2 438 46 27 356 53 0 175 3 280 109 0 623 152 0 Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 633 3 760 267 1 347 274 28 787 691 37 531 22 141 494 1 858 50 1 860 73 11 180 190 7 527 320 11 153 1 903 145 133 394 95 899 289 176 370 0 76 48 104 14 73 0 1 469 16 1 586 0 10 301 5 655 482 2 720 748 44 077 488 66 984 483 197 290 1 012 40 277 49 6 128 55 5 354 134 27 185 525 11 586 56 3 727 21 2 156 325 2 202 714 28 662 22 4 298 38 2 974 483 35 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 1 211 15 401 7 14 722 2 365 904 66 142 35 4 509 6 295 14 586 28 340 9 450 6 16 580 3 306 426 60 114 20 2 364 2 224 6 864 13 474 262 113 0 28 887 1 554 634 42 5 998 47 1 632 1 753 5 277 48 97 3 865 0 1 214 430 40 5 17 0 82 279 572 0 723 26 579 3 42 167 4 191 972 106 77 70 7 163 5 963 8 550 15 406 6 338 0 6 298 699 421 40 75 8 1 168 1 056 2 420 11 270 2 189 25 4 959 2 860 132 7 0 16 1 025 1 305 2 128 7 236 3 360 0 5 406 2 049 315 0 23 0 1 246 1 073 6 001 64 2 791 94 30 935 3 075 31 368 340 390 602 136 264 1 065 69 33 545 1 156 41 134 53 154 332 0 113 409 416 371 954 812 999 137 691 083 971 283 887 375 2 0 148 695 49 36 65 53 130 78 101 1 539 18 0 410 1 535 10 160 397 103 136 9 148 826 30 6 113 1 008 6 65 44 123 164 26 31 231 0 0 27 430 0 63 10 40 25 33 10 645 13 8 257 631 77 74 0 76 268 43 74 Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------- 12 114 1 194 537 131 426 108 678 601 43 958 319 110 221 288 741 7 893 1 420 631 17 292 003 804 672 6 425 147 20 430 43 515 800 23 864 86 14 835 7 013 1 699 237 3 176 0 6 374 3 190 41 42 043 41 831 2 323 202 7 529 3 18 3 175 1 425 762 61 254 707 301 671 12 794 254 47 059 88 433 1 860 370 476 11 246 891 373 498 6 451 184 20 094 37 374 498 41 013 0 57 866 82 295 2 385 24 11 030 2 63 1 474 121 451 35 122 760 112 285 2 793 155 11 512 10 126 Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 406 9 451 45 577 62 393 12 83 1 027 31 997 82 402 18 0 149 553 13 442 0 0 930 1 419 9 138 0 9 7 208 16 966 29 455 2 13 9 684 21 625 32 446 18 30 6 580 4 396 9 644 2 42 5 042 6 242 17 117 0 179 096 1 408 110 55 318 989 612 6 182 55 494 21 968 82 392 154 153 859 335 142 902 654 787 24 282 209 967 29 779 269 654 SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- OTHER ASIA PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- 1 156 1 14 3 1 NORTH AMERICA OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 12 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 17 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi 3 685 296 4 219 973 1 227 928 4 781 468 6 016 425 9 295 297 4 375 099 2 573 216 Alsatian ------------------------------------------------Austrian2 -----------------------------------------------Basque -------------------------------------------------Basque, French -----------------------------------------Basque, Spanish ----------------------------------------Basque, n.e.c. -----------------------------------------Bavarian ------------------------------------------------Belgian3 ------------------------------------------------British --------------------------------------------------Celtic --------------------------------------------------- 133 2 945 94 11 15 68 29 309 18 006 354 133 3 445 226 73 38 115 26 1 203 10 837 281 41 1 910 36 2 21 13 8 250 6 646 280 308 18 028 268 60 45 163 116 1 152 28 992 689 444 20 733 337 37 73 227 41 2 263 28 905 792 342 24 899 236 7 47 182 79 22 559 31 204 721 204 16 361 130 24 15 91 172 6 328 11 596 372 38 1 171 28 4 0 24 16 134 8 537 208 Comish -------------------------------------------------Cypriot -------------------------------------------------Cypriot, Greek ------------------------------------------Cypriot, Turkish -----------------------------------------Cypriot, n.e.c. ------------------------------------------Danish -------------------------------------------------Dutch --------------------------------------------------English -------------------------------------------------Finnish -------------------------------------------------Flemish -------------------------------------------------- 24 25 25 0 0 888 575 802 405 132 0 52 11 0 41 713 259 620 590 123 2 0 0 0 0 979 416 042 326 32 45 231 66 41 124 563 433 915 547 357 49 120 42 0 78 172 062 850 529 414 292 193 131 7 55 184 792 444 357 692 55 37 21 0 16 373 757 574 603 278 0 0 0 0 0 454 860 741 250 52 Total ---------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) 3 79 552 1 5 43 335 1 6 15 372 6 12 80 670 5 18 53 920 31 51 560 1 315 109 French4 -------------------------------------------------German5 ------------------------------------------------Greek6 -------------------------------------------------Icelander ------------------------------------------------Irish7 --------------------------------------------------Italian8 -------------------------------------------------Luxemburger ---------------------------------------------Maltese ------------------------------------------------Manx --------------------------------------------------Northern Irish --------------------------------------------- 92 588 798 001 4 060 108 695 853 55 423 83 114 32 79 550 440 507 453 5 964 81 518 124 196 904 59 61 20 59 223 653 108 859 5 341 110 217 226 51 397 42 30 9 39 125 278 1 218 257 32 203 425 769 312 252 428 340 184 113 48 634 833 497 462 81 769 719 1 570 742 843 524 326 401 103 360 652 465 2 666 179 42 678 756 1 320 458 409 573 907 13 446 343 141 Norwegian ----------------------------------------------Portuguese ----------------------------------------------Azores Islander -----------------------------------------Madeira Islander ----------------------------------------Portuguese, n.e.c. ---------------------------------------Prussian ------------------------------------------------Saxon --------------------------------------------------Scandinavian ---------------------------------------------Scotch-Irish9 ---------------------------------------------Scottish ------------------------------------------------- 7 355 1 275 0 0 1 275 157 91 2 696 89 822 65 638 9 510 2 988 0 0 2 988 297 22 2 774 79 491 40 417 7 256 4 523 0 0 4 523 77 19 2 217 41 310 72 320 22 520 6 898 20 0 6 878 584 86 7 012 89 223 108 427 30 726 289 424 1 276 36 288 112 421 44 8 804 108 407 199 489 Sicilian -------------------------------------------------Swedish ------------------------------------------------Swiss --------------------------------------------------Tirol ---------------------------------------------------Welsh --------------------------------------------------West German --------------------------------------------Western European* ----------------------------------------Other Western European, n.e.c. ------------------------------- 159 16 447 10 901 9 21 128 74 339 9 874 15 908 4 217 0 12 408 0 283 21 219 24 131 2 227 11 10 124 21 147 12 849 40 456 14 405 153 47 236 156 921 71 53 0 106 0 23 140 832 073 71 385 81 0 124 6 27 081 883 666 55 820 597 35 95 0 4 645 1 833 746 86 1 443 98 103 356 103 236 2 020 8 3 573 88 5 2 31 253 1 268 975 924 165 755 812 898 104 206 56 84 955 224 674 2 215 84 392 864 36 304 70 88 19 5 72 261 4 203 4 0 4 199 1 130 126 16 514 157 483 252 104 757 212 1 386 22 0 1 364 662 27 91 712 52 423 63 996 4 052 1 306 0 0 1 306 29 43 1 755 88 052 35 921 1 908 143 841 10 670 55 26 621 27 907 17 2 636 194 063 27 146 79 55 588 108 1 206 51 351 536 203 25 524 60 22 753 18 561 55 195 8 629 2 237 0 8 611 12 211 11 429 239 588 146 207 869 130 686 487 881 7 710 99 532 36 210 2 535 9 285 4 569 977 6 787 4 955 189 2 232 174 171 29 356 40 242 14 485 478 10 523 148 33 635 82 101 020 718 466 558 247 23 18 50 7 7 7 428 1 271 400 0 3 563 EASTERN EUROPE AND SOVIET UNION Albanian ------------------------------------------------Belorussian ----------------------------------------------Bulgarian -----------------------------------------------Carpath Rusyn -------------------------------------------Central European ------------------------------------------Croatian ------------------------------------------------Czech10-------------------------------------------------Czechoslovakian ------------------------------------------Estonian ------------------------------------------------European* ----------------------------------------------- 3 2 1 7 5 3 1 2 5 18 6 1 9 11 87 11 6 German Russian/ Volga -------------------------------------Hungarian -----------------------------------------------Latvian -------------------------------------------------Lithuanian -----------------------------------------------Macedonian ---------------------------------------------Moravian -----------------------------------------------Northern European* ---------------------------------------Polish --------------------------------------------------Rom ---------------------------------------------------Romanian ------------------------------------------------ 101 5 819 240 1 726 61 13 198 24 487 41 1 081 77 5 722 285 1 899 33 27 685 22 456 70 858 8 3 234 455 4 678 3 18 161 23 838 10 421 90 26 726 3 398 23 608 198 47 1 070 200 570 114 7 672 86 19 989 6 479 68 447 181 50 1 249 359 677 56 7 809 338 178 485 384 106 114 2 153 889 527 145 24 832 385 12 349 2 612 7 033 115 30 2 871 238 039 99 4 903 0 1 462 116 569 15 2 122 10 645 77 445 Russian11 -----------------------------------------------Ruthenian -----------------------------------------------Serbian -------------------------------------------------Slavic* -------------------------------------------------Slovak -------------------------------------------------Slovene -------------------------------------------------Soviet Union ---------------------------------------------Ukrainian -----------------------------------------------Windish ------------------------------------------------Yugoslavian* --------------------------------------------Other Eastern European and Soviet Union, n.e.c. ------------------- 6 435 2 333 241 5 017 321 11 1 582 0 860 256 7 328 5 236 364 5 133 166 11 1 391 0 1 818 472 8 122 6 85 195 3 518 67 0 1 328 0 339 405 95 964 137 1 196 1 398 33 597 1 018 362 15 872 18 2 505 6 577 133 080 29 595 957 16 321 393 513 17 500 0 2 390 8 381 76 121 137 7 439 3 713 84 864 3 002 128 43 914 0 15 878 2 376 31 945 79 3 292 4 169 31 190 6 614 27 10 691 0 7 765 1 049 1 892 7 115 323 2 319 66 0 480 0 952 107 18 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 13 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 109 5 38 4 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Argentinean ---------------------------------------------Bolivian-------------------------------------------------Central American* -----------------------------------------Chilean -------------------------------------------------Colombian -----------------------------------------------Costa Rican----------------------------------------------Cuban --------------------------------------------------Dominican -----------------------------------------------Ecuadorian ----------------------------------------------Guatemalan ---------------------------------------------- 112 53 11 76 678 143 931 502 526 159 392 131 175 341 1 421 628 6 048 657 781 1 890 96 24 0 45 219 24 262 190 67 75 1 432 2 879 205 2 231 4 332 762 5 254 3 342 2 632 4 042 1 421 717 105 1 493 7 795 1 739 6 468 29 065 2 437 5 866 595 226 35 545 1 623 313 3 890 1 053 471 475 132 196 2 268 1 295 115 1 116 186 192 227 14 0 0 90 201 59 309 211 63 85 Hispanic* -----------------------------------------------Honduran -----------------------------------------------Latin American* ------------------------------------------Mexican ------------------------------------------------Nicaraguan ----------------------------------------------Panamanian ---------------------------------------------Paraguayan ----------------------------------------------Peruvian ------------------------------------------------Puerto Rican ---------------------------------------------Salvadoran ----------------------------------------------- 1 255 145 123 6 823 95 531 0 180 2 692 96 4 325 8 268 444 21 046 3 635 982 14 410 4 089 1 118 363 30 9 1 990 19 79 13 51 939 78 5 999 1 910 488 14 948 3 279 2 243 483 4 396 13 004 16 449 13 516 3 155 535 11 421 591 1 497 157 2 817 103 792 7 835 10 461 525 579 118 424 237 638 44 487 13 698 345 2 437 204 160 28 512 158 358 79 338 2 668 315 635 122 95 4 900 74 236 0 78 880 85 South American* ------------------------------------------Spaniard12 ----------------------------------------------Spanish* ------------------------------------------------Uruguayan ----------------------------------------------Venezuelan ----------------------------------------------Other Hispanic, n.e.c. --------------------------------------- 14 591 5 810 5 65 9 69 4 099 65 125 0 481 219 7 119 2 947 5 45 0 272 3 326 22 255 316 1 257 82 311 3 812 32 495 525 1 403 107 195 2 426 26 094 87 589 41 12 584 7 584 151 119 18 84 588 8 555 0 142 11 10 98 47 0 331 290 80 0 0 113 0 0 150 2 551 3 106 0 102 7 483 541 32 80 887 126 0 20 403 414 0 6 120 5 0 Bahamian -----------------------------------------------Barbadian -----------------------------------------------Bermudan -----------------------------------------------British West Indian ----------------------------------------Antigua and Barbuda -------------------------------------Grenadian ---------------------------------------------Kitts-Nevis Islander ---------------------------------------St. Lucia Islander ----------------------------------------Vincent-Grenadine Islander ---------------------------------British West Indian, n.e.c. ---------------------------------- 32 28 21 41 26 6 0 0 3 6 50 87 3 76 15 11 0 44 0 6 2 8 47 56 2 8 0 22 0 24 295 626 168 1 196 141 508 87 84 102 274 192 3 393 390 1 268 320 138 14 80 101 615 250 128 126 296 62 55 67 0 30 82 66 50 15 65 29 14 5 0 11 6 50 12 37 5 0 0 0 0 0 5 Dutch West Indian-----------------------------------------Haitian -------------------------------------------------Jamaican -----------------------------------------------Trinidadian and Tobagonian ----------------------------------US Virgin Islander -----------------------------------------West Indian* --------------------------------------------Other West Indian, n.e.c. ------------------------------------ 434 276 600 111 25 315 11 339 633 1 105 349 110 829 32 1 157 198 40 0 156 6 178 3 837 15 456 4 493 277 5 424 249 100 23 692 11 990 2 590 281 7 271 35 212 614 3 777 294 38 1 357 50 48 237 696 63 75 498 9 225 80 318 24 0 274 9 Algerian ------------------------------------------------Arab* --------------------------------------------------Armenian -----------------------------------------------Assyrian ------------------------------------------------Egyptian ------------------------------------------------Iranian -------------------------------------------------Iraqi ---------------------------------------------------Israeli --------------------------------------------------Jordanian -----------------------------------------------Lebanese------------------------------------------------- 0 569 258 3 147 962 17 136 229 3 153 36 1 271 530 78 269 1 123 98 184 123 6 705 0 156 908 11 14 143 0 76 9 2 623 128 2 160 3 076 157 1 817 9 644 468 2 254 467 5 771 283 2 782 28 714 663 2 197 4 659 383 2 899 326 29 700 63 842 263 724 785 117 668 150 441 673 40 751 714 66 760 1 922 80 452 111 6 096 10 160 158 46 141 235 9 83 37 3 177 Middle Eastern* ------------------------------------------Moroccan -----------------------------------------------Palestinian ----------------------------------------------Saudi Arabian --------------------------------------------Syrian --------------------------------------------------Turkish -------------------------------------------------Yemeni -------------------------------------------------Other North Africian and Southwest Asian, n.e.c. ------------------ 20 49 231 0 639 290 0 93 59 58 454 38 1 659 449 0 93 2 37 67 0 490 152 0 0 266 1 303 1 038 84 1 845 2 366 156 359 256 550 903 106 7 552 2 336 23 341 161 758 2 695 178 7 656 1 776 840 310 116 70 368 74 1 114 597 35 170 29 27 92 40 314 206 0 48 1 601 60 0 9 59 20 0 445 8 59 6 10 103 5 604 84 82 0 68 0 19 1 430 0 58 24 0 102 168 57 8 5 7 5 0 44 0 33 0 0 25 12 107 484 419 53 2 502 408 720 6 515 975 568 170 317 1 929 5 841 29 326 120 26 661 166 385 1 620 156 750 57 211 601 6 219 85 106 77 330 53 312 2 103 53 360 82 46 556 2 129 37 137 33 181 102 452 1 714 78 119 22 99 280 2 459 12 0 7 0 0 0 1 225 0 19 13 0 19 CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ------------------------------------------------Brazilian ------------------------------------------------Guyanese -----------------------------------------------Other Central and South American, n.e.c. ------------------------ WEST INDIES (NON-HISPANIC GROUPS) NORTH AFRICA AND SOUTHWEST ASIA 14 14 14 1 3 6 1 1 39 SUBSAHARAN AFRICA African* ------------------------------------------------Cape Verdean --------------------------------------------Eritrean -------------------------------------------------Ethiopian13 ----------------------------------------------Ghanian ------------------------------------------------Kenyan -------------------------------------------------Liberian -------------------------------------------------Nigerian ------------------------------------------------Sierra Leonean -------------------------------------------South African* -------------------------------------------Sudanese -----------------------------------------------Ugandan ------------------------------------------------Other Subsaharan African, n.e.c. ------------------------------ DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 14 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 19 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi 18 2 367 62 0 228 57 0 9 4 385 23 3 485 129 0 304 449 15 15 16 24 0 488 21 262 487 241 3 342 844 0 214 13 603 256 197 1 814 297 9 217 18 100 250 167 2 524 158 0 225 5 308 0 25 446 497 0 0 1 793 26 22 99 35 0 Amerasian* ---------------------------------------------Asian* -------------------------------------------------Burmese ------------------------------------------------Cambodian14---------------------------------------------Cantonese -----------------------------------------------Chinese15 -----------------------------------------------Eurasian* -----------------------------------------------Filipino -------------------------------------------------Hmong -------------------------------------------------Hong Kong ----------------------------------------------- 108 557 0 190 67 3 137 75 2 587 0 0 207 1 095 30 173 63 5 321 54 5 981 0 0 49 165 9 809 0 1 269 7 1 438 0 0 448 2 358 513 1 798 186 26 479 407 21 086 0 63 264 1 944 237 11 821 952 47 245 335 8 024 90 244 223 2 688 85 687 232 17 100 300 16 086 2 013 24 283 1 012 31 2 981 29 8 850 155 5 210 16 785 80 138 463 27 14 0 2 532 11 2 120 0 0 Indonesian ----------------------------------------------Japanese -----------------------------------------------Khmer -------------------------------------------------Korean -------------------------------------------------Laotian -------------------------------------------------Malaysian -----------------------------------------------Mongolian-----------------------------------------------Okinawan -----------------------------------------------Singaporean ---------------------------------------------Taiwanese -----------------------------------------------Thai ---------------------------------------------------Vietnamese ----------------------------------------------Other Asian, n.e.c. ----------------------------------------- 307 3 275 0 4 264 308 63 55 22 5 356 625 1 340 14 224 2 681 37 3 643 862 120 19 0 15 968 1 032 14 696 0 41 1 202 0 1 225 44 33 13 27 0 48 221 809 19 770 10 067 83 29 471 639 400 76 61 47 5 303 3 202 7 809 40 808 10 662 528 12 878 3 953 310 52 17 56 4 401 1 996 13 101 23 876 13 309 0 17 738 2 753 503 53 67 31 2 892 1 803 5 229 20 164 5 330 21 12 922 7 252 76 13 34 16 1 179 883 8 698 4 39 1 576 0 1 610 54 198 6 71 0 297 283 3 340 0 475 49 0 180 539 0 7 57 74 181 10 60 350 13 9 307 779 50 67 32 60 98 0 47 191 2 0 85 276 0 18 43 19 23 2 37 1 251 69 50 390 986 33 201 101 85 87 0 141 1 198 24 20 256 637 0 206 56 66 115 23 41 1 388 6 35 216 1 333 50 144 227 48 148 8 179 607 32 0 140 493 21 36 101 69 72 39 83 162 0 0 83 303 0 8 7 42 56 0 11 Acadian/ Cajun--------------------------------------------Afro-American16 ------------------------------------------Aleut --------------------------------------------------American Indian17 -----------------------------------------American -----------------------------------------------Canadian18 ----------------------------------------------Eskimo -------------------------------------------------French Canadian ------------------------------------------Newfoundland --------------------------------------------North American* ------------------------------------------- 2 086 222 428 7 208 938 586 090 2 200 71 8 033 7 193 432 549 1 097 499 38 154 511 272 108 2 435 98 86 569 21 164 2 365 4 882 9 48 617 84 120 13 648 41 110 209 107 29 2 298 965 573 21 121 765 167 320 6 606 77 21 206 58 254 1 162 170 439 33 67 157 150 550 66 007 128 310 636 2 333 200 1 954 1 099 751 22 282 695 316 566 47 488 150 174 138 87 286 645 78 891 68 70 252 63 517 4 495 240 46 719 48 83 11 097 774 950 1 114 236 317 021 1 357 65 7 487 0 249 Nova Scotian --------------------------------------------Pennsylvania German --------------------------------------United States --------------------------------------------White19-------------------------------------------------Other North America, n.e.c. ---------------------------------- 21 818 23 512 42 777 13 485 469 7 871 34 343 0 182 374 2 677 7 603 0 61 3 581 11 126 18 457 5 206 025 519 700 0 41 10 758 15 615 38 556 11 48 2 185 2 884 8 890 0 7 181 11 006 44 108 0 60 667 688 555 35 710 405 322 23 291 87 649 63 168 439 105 94 050 390 044 127 760 722 977 29 622 217 550 36 803 367 941 SOUTH ASIA Afghanistan ---------------------------------------------Asian Indian ---------------------------------------------Bangladeshi ---------------------------------------------Nepali --------------------------------------------------Pakastani -----------------------------------------------Sri Lankan ----------------------------------------------Other South Asian, n.e.c. ------------------------------------ OTHER ASIA PACIFIC Australian -----------------------------------------------Chamorro -----------------------------------------------Fijian---------------------------------------------------Guamanian ----------------------------------------------Hawaiian------------------------------------------------Micronesian ---------------------------------------------New Zealander -------------------------------------------Pacific Islander* ------------------------------------------Polynesian-----------------------------------------------Samoan ------------------------------------------------Tongan -------------------------------------------------Other Pacific Islander, n.e.c. ---------------------------------- NORTH AMERICA 2 1 10 18 OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20------------------------Not reported ---------------------------------------------- 20 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 15 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina 5 117 073 799 065 1 578 385 1 201 833 1 109 252 7 730 188 1 515 069 17 990 455 6 628 637 Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 228 11 764 151 27 10 114 116 1 930 18 492 404 8 5 556 469 66 46 357 5 994 2 135 73 40 3 152 45 0 0 45 8 1 017 3 997 126 46 4 401 4 840 472 776 3 592 32 469 5 368 165 49 2 851 53 0 0 53 0 688 6 716 230 717 58 912 534 72 143 319 70 2 978 27 217 784 156 3 299 502 63 61 378 18 283 6 397 186 1 977 156 994 1 300 131 242 927 227 5 115 58 197 1 920 165 6 859 119 16 6 97 97 813 34 868 517 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 15 11 0 11 0 695 961 232 583 166 6 7 7 0 0 752 018 181 324 41 41 0 0 0 0 860 237 616 651 72 52 7 7 0 0 170 751 010 582 47 16 12 3 0 9 156 238 668 294 97 48 659 315 9 335 703 165 504 343 272 13 7 7 0 0 122 401 934 266 90 104 1 734 687 134 913 47 058 369 807 1 566 019 21 288 801 29 17 17 0 0 848 469 683 830 299 Total ------------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) 20 153 743 3 16 27 137 7 59 46 208 1 19 30 207 3 4 14 265 8 27 159 702 8 7 29 188 2 French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 268 116 1 843 299 13 294 304 1 037 658 161 173 417 98 133 55 43 073 285 385 1 920 334 138 828 21 322 216 0 87 5 54 459 794 911 3 266 226 272 185 35 014 922 45 67 0 60 172 279 693 6 490 342 199 772 86 785 225 193 45 16 205 455 118 033 15 507 166 232 409 81 310 90 84 23 9 157 195 1 407 956 60 899 522 1 415 489 1 457 013 425 1 252 57 175 43 970 234 000 3 108 149 163 690 36 204 132 11 32 0 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 29 531 3 086 40 0 3 046 633 35 7 156 129 228 94 211 86 460 1 421 0 0 1 421 109 31 9 971 25 369 27 904 30 533 744 0 0 744 183 45 5 988 34 701 26 278 23 229 8 246 42 0 8 204 286 29 6 112 27 950 32 601 8 401 10 199 19 8 10 172 77 0 2 428 27 747 56 864 46 991 63 188 31 0 63 157 487 76 7 921 86 869 132 882 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 949 69 039 26 697 23 40 516 109 879 34 139 36 784 5 754 0 9 704 24 174 16 301 99 263 10 408 0 11 998 30 195 19 740 31 301 7 392 8 14 266 12 328 9 386 25 464 2 608 0 7 868 13 284 0 531 10 361 6 187 519 529 550 155 436 45 8 246 0 0 119 607 967 66 652 50 0 123 0 25 283 043 871 58 271 158 0 206 0 35 560 518 615 148 626 625 2 898 159 1 2 800 2 837 9 147 986 3 459 888 876 427 128 904 915 8 245 130 411 141 803 1 110 581 14 927 245 841 276 111 983 83 268 50 87 13 936 1 768 8 12 1 748 153 29 4 098 33 977 29 082 90 158 44 090 46 18 44 026 1 366 76 17 092 165 952 266 312 20 184 4 970 9 7 4 954 373 77 6 678 343 345 177 699 2 284 72 647 25 402 287 47 015 238 759 23 174 19 999 4 281 1 11 275 28 251 14 5 968 165 333 46 873 385 103 679 322 1 693 154 434 35 861 10 716 9 36 229 92 1 103 29 849 24 2 0 4 682 1 693 799 128 1 481 3 339 629 815 614 454 8 173 23 473 13 686 2 623 9 531 30 0 61 0 53 842 245 811 67 229 10 628 703 2 208 1 038 913 20 517 50 014 28 402 3 982 27 446 191 45 240 38 44 189 156 355 304 253 EASTERN EUROPE AND SOVIET UNION Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 16 24 4 9 3 7 1 2 3 90 7 2 2 5 1 2 1 4 1 3 8 6 2 11 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 202 14 843 760 6 283 265 54 798 95 900 114 3 733 30 2 750 223 915 36 1 588 15 736 20 572 172 3 318 869 3 557 42 179 472 61 199 48 900 89 7 100 278 2 722 145 0 427 33 591 53 1 745 3 4 093 713 7 953 31 3 270 48 767 17 937 328 141 627 5 393 49 870 460 65 1 010 626 506 284 21 177 88 4 337 257 1 943 62 7 710 19 523 34 713 598 898 038 397 570 118 2 854 1 181 077 225 66 977 179 12 749 843 5 602 29 71 920 59 722 12 2 007 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 27 516 7 1 285 1 084 17 261 515 41 4 766 6 2 668 1 275 7 776 8 522 556 3 907 264 0 1 478 11 3 355 97 10 136 46 443 342 9 156 190 32 1 161 0 483 151 13 241 0 871 475 6 311 238 63 2 434 20 2 483 315 11 066 0 68 131 2 671 80 56 2 434 0 359 511 229 449 330 1 718 4 171 117 562 972 469 73 935 29 12 682 11 075 7 912 3 307 384 4 469 189 12 1 512 0 903 243 596 875 277 3 534 5 969 118 045 2 619 2 150 121 113 31 30 455 34 778 17 688 16 639 751 12 313 537 28 4 897 7 1 315 913 DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 16 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 186 12 70 1 21 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------- 318 276 0 307 1 011 144 1 845 314 467 259 17 6 0 24 49 0 145 29 24 46 119 65 0 143 124 42 383 105 53 27 415 165 53 374 1 262 443 5 430 429 286 852 43 10 2 99 436 103 641 756 129 103 5 789 1 052 369 4 640 47 809 4 612 72 373 51 138 27 486 6 694 116 67 0 306 469 90 772 246 101 681 12 4 1 10 99 7 64 337 89 20 087 406 300 288 935 939 741 867 040 293 410 127 31 456 1 707 433 3 296 999 1 008 471 Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------- 2 752 224 118 35 860 240 585 1 476 2 894 232 553 36 9 7 037 37 75 0 62 368 34 2 083 97 35 25 814 44 143 0 197 916 192 5 022 384 228 72 281 957 361 28 430 3 829 3 121 369 204 6 2 334 31 45 10 119 2 528 88 26 265 7 241 934 24 703 3 663 3 063 413 22 962 219 942 14 766 105 892 87 144 215 576 270 434 13 175 2 183 498 78 23 2 71 10 26 1 30 762 40 843 014 843 284 036 491 552 011 429 992 2 795 457 213 24 685 408 1 890 34 462 10 161 863 South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 41 1 351 13 993 49 215 12 12 229 3 351 0 66 0 5 406 4 686 9 46 0 24 2 435 20 156 36 150 18 16 247 3 051 142 62 0 547 666 596 297 130 77 20 24 861 190 700 5 95 53 3 42 156 3 5 168 309 310 742 559 334 153 1 620 15 957 58 430 130 29 254 79 0 0 7 27 0 5 103 28 0 61 408 23 0 14 289 39 0 304 7 482 6 697 45 50 184 33 0 5 520 11 145 56 462 489 74 469 308 17 Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------- 71 3 29 29 21 2 0 0 6 0 0 0 0 2 0 0 0 0 0 2 37 0 0 5 0 0 5 0 0 0 97 25 7 106 7 12 0 3 26 58 21 32 58 24 0 0 0 0 0 24 562 1 687 529 1 857 421 483 172 139 282 360 4 26 5 8 0 8 0 0 0 0 1 22 1 23 4 7 1 1 4 3 986 298 050 799 659 916 617 906 335 366 114 211 110 149 8 52 22 16 9 42 Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 778 414 1 202 54 27 394 5 37 0 26 0 0 10 0 97 55 158 8 4 117 0 169 128 369 73 0 238 0 0 281 324 53 9 147 0 152 18 854 26 690 4 245 338 8 935 320 899 66 261 16 0 179 12 1 107 186 42 2 80 1 153 207 429 973 743 075 330 550 542 2 639 391 71 1 634 51 Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------- 12 1 090 1 058 70 520 2 208 119 566 122 4 973 0 52 158 9 37 106 18 24 19 816 0 310 210 15 186 479 23 172 15 1 682 7 553 1 224 66 253 1 118 30 339 33 2 219 0 307 2 710 0 185 499 51 51 0 3 777 94 5 311 14 664 845 11 704 5 804 632 6 569 1 234 12 261 0 712 525 13 143 667 31 144 41 1 974 523 12 884 23 590 680 15 211 18 183 2 814 24 091 2 408 31 089 62 1 348 1 060 14 903 2 094 124 253 265 5 619 Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- 85 437 291 75 1 230 632 40 178 2 34 23 0 164 52 0 0 13 43 14 59 749 218 0 7 0 214 57 0 789 404 0 51 0 12 8 6 628 379 0 33 491 811 2 367 46 11 722 7 579 141 359 44 61 112 54 269 336 9 42 1 618 4 043 4 098 46 18 201 19 325 1 564 1 338 45 124 894 68 1 114 1 046 0 72 4 607 36 16 0 59 59 54 1 644 19 88 23 0 283 36 0 0 0 0 0 0 67 0 0 0 14 19 740 21 0 0 16 0 17 466 0 58 7 0 53 1 045 22 20 12 19 54 0 188 0 8 0 0 56 239 114 0 0 68 12 0 49 0 25 5 0 31 10 922 436 33 26 1 466 493 952 4 330 384 716 158 0 734 872 21 0 7 8 20 0 95 0 106 0 9 29 41 452 1 099 192 74 6 158 272 1 422 9 610 710 1 884 1 221 231 3 408 7 650 211 0 9 205 87 220 2 083 103 217 23 64 686 CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN 23 71 3 2 CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- WEST INDIES (NON-HISPANIC GROUPS) NORTH AFRICA AND SOUTHWEST ASIA SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- 22 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 17 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina 158 4 030 55 0 908 136 0 0 213 0 11 28 7 0 275 948 15 15 145 55 7 196 1 236 22 25 380 99 0 9 1 871 17 4 217 9 0 659 54 039 548 36 7 053 898 27 223 1 566 63 0 203 61 0 4 675 80 430 5 989 441 19 163 1 923 7 118 7 091 69 123 787 180 8 Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 231 981 14 695 76 8 006 45 7 181 0 6 18 64 3 6 0 811 13 908 123 0 100 200 0 125 9 1 908 49 1 699 117 6 249 909 40 290 84 7 001 164 12 734 13 0 55 149 25 289 5 2 218 0 1 304 0 0 366 4 234 196 476 632 47 068 335 51 821 16 133 166 346 29 59 10 2 400 38 2 539 0 6 777 9 117 970 3 326 5 366 236 876 715 64 202 184 1 090 420 1 521 112 1 493 0 8 078 123 6 181 551 19 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 268 6 233 0 6 452 637 535 20 66 0 1 500 1 433 3 652 8 22 1 391 0 842 171 42 48 0 0 16 126 239 8 92 2 307 0 2 600 675 173 5 21 0 378 525 1 242 5 180 5 111 0 4 693 950 223 83 53 22 605 2 408 1 978 14 47 1 153 0 1 635 475 51 0 9 0 200 285 281 0 916 19 948 12 38 087 526 718 362 45 82 11 391 2 284 5 480 39 175 3 482 0 1 756 444 118 37 18 0 476 655 1 374 5 3 680 39 859 153 93 145 2 658 2 471 301 78 315 21 956 6 991 12 116 271 273 8 069 92 8 572 1 731 203 21 150 57 2 076 1 982 4 406 137 763 3 46 216 1 202 76 46 55 211 621 56 58 268 0 7 44 269 7 45 6 56 91 0 19 140 0 0 145 342 29 0 2 28 87 0 14 576 22 0 245 2 060 27 96 150 130 384 177 219 241 0 0 40 308 5 39 9 19 0 0 10 1 573 26 52 363 1 260 9 219 353 52 147 4 92 129 12 4 249 583 0 34 27 46 100 18 81 3 688 43 68 775 1 876 3 386 188 339 335 25 302 698 202 7 380 1 428 39 107 117 183 390 0 103 Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------- 3 074 469 075 6 306 254 316 691 4 359 335 17 860 65 252 235 2 071 80 55 858 22 699 1 469 131 7 780 0 31 483 51 226 15 31 998 30 722 1 077 44 6 503 6 62 1 278 67 797 42 55 723 39 377 3 354 161 9 662 20 60 257 5 181 9 30 114 48 993 12 913 34 118 857 257 48 1 047 750 914 94 88 728 156 379 12 783 71 30 768 201 207 1 308 25 288 163 144 936 46 290 1 643 31 6 260 12 50 2 219 1 620 890 133 271 105 426 740 45 274 388 155 531 688 517 4 478 1 227 936 10 265 777 752 901 6 621 95 20 308 51 689 Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 22 3 013 12 952 34 484 52 28 1 040 1 458 3 669 0 0 3 709 1 323 3 766 6 11 752 1 799 9 093 0 267 355 1 985 7 417 0 32 7 886 13 853 11 325 6 7 664 3 771 29 880 0 113 10 503 41 497 33 624 0 23 1 747 34 210 76 652 17 67 918 569 213 12 369 51 238 14 494 90 353 20 711 91 206 14 963 77 320 105 831 568 460 16 118 124 805 431 474 1 556 551 63 639 1 037 704 SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- OTHER ASIA PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- NORTH AMERICA OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 18 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 23 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee 638 800 10 847 115 3 145 585 2 842 321 11 881 643 1 003 464 3 486 703 696 004 4 877 185 Alsatian ------------------------------------------------Austrian2 -----------------------------------------------Basque -------------------------------------------------Basque, French -----------------------------------------Basque, Spanish ----------------------------------------Basque, n.e.c. -----------------------------------------Bavarian ------------------------------------------------Belgian3 ------------------------------------------------British --------------------------------------------------Celtic --------------------------------------------------- 19 1 178 11 0 0 11 18 441 853 45 868 29 810 203 33 15 155 226 3 085 41 342 1 028 47 3 379 105 0 23 82 57 589 11 932 176 292 9 582 2 257 172 298 1 787 92 1 862 19 028 1 048 607 63 060 250 23 13 214 213 4 804 36 845 895 49 2 695 24 0 0 24 0 554 3 181 117 86 3 166 48 4 14 30 31 247 15 548 199 9 1 390 30 0 8 22 24 621 1 040 60 141 3 714 91 2 14 75 53 595 24 044 566 Comish -------------------------------------------------Cypriot -------------------------------------------------Cypriot, Greek ------------------------------------------Cypriot, Turkish -----------------------------------------Cypriot, n.e.c. ------------------------------------------Danish -------------------------------------------------Dutch --------------------------------------------------English -------------------------------------------------Finnish -------------------------------------------------Flemish -------------------------------------------------- 0 0 0 0 0 801 459 015 807 20 99 74 35 0 39 602 765 303 044 442 52 0 0 0 0 938 457 391 844 125 110 6 6 0 0 806 089 183 977 373 158 129 62 0 67 875 656 665 612 351 0 0 0 0 0 978 933 001 562 62 20 29 0 0 29 307 860 149 849 70 0 7 0 0 7 456 844 345 468 19 2 29 21 0 8 449 571 508 488 80 Total ---------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) 10 10 39 3 21 310 1 449 21 9 140 441 1 French4 -------------------------------------------------German5 ------------------------------------------------Greek6 -------------------------------------------------Icelander ------------------------------------------------Irish7 --------------------------------------------------Italian8 -------------------------------------------------Luxemburger ---------------------------------------------Maltese ------------------------------------------------Manx --------------------------------------------------Northern Irish --------------------------------------------- 27 901 324 929 608 3 161 53 678 4 255 419 36 21 6 360 151 4 067 840 49 496 590 1 896 231 637 143 867 294 632 112 118 804 714 184 4 451 155 641 733 44 951 253 55 57 1 Norwegian ----------------------------------------------Portuguese ----------------------------------------------Azores Islander -----------------------------------------Madeira Islander ----------------------------------------Portuguese, n.e.c. ---------------------------------------Prussian ------------------------------------------------Saxon --------------------------------------------------Scandinavian ---------------------------------------------Scotch-Irish9 ---------------------------------------------Scottish ------------------------------------------------- 189 106 256 0 0 256 53 0 11 074 8 262 8 557 31 911 6 151 24 0 6 127 1 075 1 147 9 046 217 478 224 351 Sicilian -------------------------------------------------Swedish ------------------------------------------------Swiss --------------------------------------------------Tirol ---------------------------------------------------Welsh --------------------------------------------------West German --------------------------------------------Western European* ----------------------------------------Other Western European, n.e.c. ------------------------------- 46 35 933 2 036 0 1 697 0 55 6 Albanian ------------------------------------------------Belorussian ----------------------------------------------Bulgarian -----------------------------------------------Carpath Rusyn -------------------------------------------Central European ------------------------------------------Croatian ------------------------------------------------Czech10-------------------------------------------------Czechoslovakian ------------------------------------------Estonian ------------------------------------------------European* ----------------------------------------------- 15 0 175 0 4 246 15 298 1 565 115 327 German Russian/ Volga -------------------------------------Hungarian -----------------------------------------------Latvian -------------------------------------------------Lithuanian -----------------------------------------------Macedonian ---------------------------------------------Moravian -----------------------------------------------Northern European* ---------------------------------------Polish --------------------------------------------------Rom ---------------------------------------------------Romanian ------------------------------------------------ 228 3 005 64 383 9 4 219 17 320 18 339 Russian11 -----------------------------------------------Ruthenian -----------------------------------------------Serbian -------------------------------------------------Slavic* -------------------------------------------------Slovak -------------------------------------------------Slovene -------------------------------------------------Soviet Union ---------------------------------------------Ukrainian -----------------------------------------------Windish ------------------------------------------------Yugoslavian* --------------------------------------------Other Eastern European and Soviet Union, n.e.c. ------------------- 18 544 0 27 85 1 557 24 0 3 634 0 272 8 47 118 575 22 160 878 8 1 466 83 20 354 1 274 8 1 6 161 1 5 55 436 1 23 36 68 3 7 125 691 2 967 555 535 200 887 093 606 107 208 20 263 960 4 314 762 55 158 523 2 255 867 1 372 904 401 388 124 276 134 128 73 425 6 208 185 213 653 199 028 65 104 6 31 87 527 500 089 8 119 127 485 804 56 291 108 87 7 45 24 490 355 102 905 209 87 657 6 110 1 242 19 0 8 113 713 724 059 7 061 176 875 155 73 079 141 88 0 50 17 401 2 612 0 0 2 612 364 65 4 305 95 508 59 409 124 216 11 369 67 0 11 302 540 57 28 021 95 336 110 314 31 146 12 770 12 7 12 751 827 378 7 499 270 299 223 544 4 010 94 650 508 4 94 138 48 0 924 13 638 24 144 9 170 2 252 9 0 2 243 197 46 3 874 159 534 77 111 106 361 422 0 0 422 179 0 7 790 9 980 8 472 12 098 2 002 0 0 2 002 288 102 4 437 197 942 100 080 3 274 87 475 88 523 141 165 494 99 1 092 31 142 32 638 7 474 0 21 894 77 204 27 688 124 620 30 984 0 40 781 29 1 361 69 1 126 68 3 221 936 255 919 496 964 206 1 104 12 162 22 373 1 459 15 3 253 9 37 15 210 18 534 5 546 8 17 190 41 337 25 46 33 421 3 431 7 4 034 0 26 4 260 27 552 10 252 8 28 745 38 627 4 1 107 146 2 408 620 183 59 315 67 389 15 864 852 10 902 22 19 277 15 16 592 215 451 47 156 139 99 768 2 37 804 470 202 641 311 2 538 233 1 010 3 701 266 78 750 29 528 16 453 727 10 705 223 24 105 0 18 461 1 262 640 56 1 017 52 0 117 0 49 585 183 087 194 958 0 0 109 0 17 281 18 593 1 383 10 915 187 16 183 0 8 677 876 524 110 043 EASTERN EUROPE AND SOVIET UNION 2 15 3 5 3 16 5 16 4 3 1 4 4 4 1 8 441 145 973 840 452 98 1 271 442 226 224 25 950 222 3 797 338 2 090 38 24 509 29 519 143 860 127 10 776 1 197 4 341 135 47 2 724 48 414 206 4 439 313 152 863 4 847 103 272 808 82 1 153 882 348 226 17 755 0 2 902 377 4 580 66 25 161 47 227 13 1 102 67 6 111 252 2 673 28 7 406 29 762 16 936 37 1 361 115 256 17 14 797 9 139 17 226 45 7 349 623 3 252 21 21 862 35 325 169 1 361 81 618 417 15 545 4 165 273 380 49 598 127 43 569 17 13 172 2 876 7 580 15 160 298 5 781 215 9 1 969 9 652 95 28 735 0 466 917 8 939 343 43 6 220 0 4 968 871 215 1 19 8 447 14 12 412 0 7 192 2 231 73 90 3 530 0 251 519 6 483 15 262 382 6 926 290 18 2 266 7 769 356 7 322 0 22 78 1 788 22 0 391 0 360 14 10 622 19 354 345 7 417 256 20 2 063 0 694 522 218 3 29 3 24 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 19 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 129 2 10 9 841 235 913 654 384 584 484 753 827 446 212 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Argentinean ---------------------------------------------Bolivian-------------------------------------------------Central American* -----------------------------------------Chilean -------------------------------------------------Colombian -----------------------------------------------Costa Rican----------------------------------------------Cuban --------------------------------------------------Dominican -----------------------------------------------Ecuadorian ----------------------------------------------Guatemalan ---------------------------------------------- 0 0 0 4 152 0 70 2 28 14 544 153 107 409 1 584 423 2 826 840 515 770 162 108 14 121 780 138 905 254 163 277 251 132 25 448 722 381 1 197 186 148 992 1 206 284 21 923 5 124 712 6 365 4 236 1 453 636 153 361 0 146 4 617 13 811 8 902 457 3 463 107 65 0 165 888 127 1 204 544 292 118 14 0 0 62 44 9 34 10 6 12 189 47 19 158 452 94 1 602 393 166 125 Hispanic* -----------------------------------------------Honduran -----------------------------------------------Latin American* ------------------------------------------Mexican ------------------------------------------------Nicaraguan ----------------------------------------------Panamanian ---------------------------------------------Paraguayan ----------------------------------------------Peruvian ------------------------------------------------Puerto Rican ---------------------------------------------Salvadoran ----------------------------------------------- 287 65 6 2 311 3 42 0 12 263 30 7 884 503 381 50 725 370 814 66 1 080 35 644 615 3 847 359 132 53 069 100 711 18 486 3 444 312 6 957 404 236 71 680 412 346 13 612 2 180 800 15 632 822 552 20 913 723 1 384 77 1 442 97 817 925 1 537 152 29 1 994 130 170 0 440 8 366 826 1 307 322 91 8 316 151 625 21 192 4 282 119 429 19 0 2 951 0 115 0 9 259 12 1 438 234 188 11 997 200 505 0 306 3 112 90 South American* ------------------------------------------Spaniard12 ----------------------------------------------Spanish* ------------------------------------------------Uruguayan ----------------------------------------------Venezuelan ----------------------------------------------Other Hispanic, n.e.c. --------------------------------------- 0 47 1 158 0 6 0 94 2 056 26 408 13 416 12 39 1 329 13 880 38 233 4 38 1 745 18 692 16 148 0 303 4 003 35 494 85 658 94 18 301 3 679 32 162 0 123 817 8 497 22 146 29 0 117 1 296 0 0 0 29 939 9 242 28 244 33 0 36 0 0 10 531 476 5 18 235 70 8 23 394 60 0 161 1 512 619 24 47 529 69 0 58 298 73 0 0 6 0 0 6 236 98 0 Bahamian -----------------------------------------------Barbadian -----------------------------------------------Bermudan -----------------------------------------------British West Indian ----------------------------------------Antigua and Barbuda -------------------------------------Grenadian ---------------------------------------------Kitts-Nevis Islander ---------------------------------------St. Lucia Islander ----------------------------------------Vincent-Grenadine Islander ---------------------------------British West Indian, n.e.c. ---------------------------------- 23 0 5 0 0 0 0 0 0 0 154 114 88 128 30 24 19 16 0 39 68 31 7 30 7 4 7 7 5 0 71 26 11 9 9 0 0 0 0 0 218 761 246 625 147 252 51 21 49 105 5 72 47 77 0 14 0 0 37 26 147 75 37 42 19 0 0 13 0 10 5 8 0 2 0 0 0 0 0 2 265 18 37 113 4 31 8 14 6 50 Dutch West Indian-----------------------------------------Haitian -------------------------------------------------Jamaican -----------------------------------------------Trinidadian and Tobagonian ----------------------------------US Virgin Islander -----------------------------------------West Indian* --------------------------------------------Other West Indian, n.e.c. ------------------------------------ 32 25 67 0 0 18 0 539 703 3 841 469 65 1 499 35 23 465 208 332 179 30 414 22 604 195 223 4 17 357 25 152 2 253 10 191 1 509 106 3 427 67 21 958 483 147 6 332 0 220 300 1 135 189 47 752 20 27 8 29 10 0 16 0 2 139 166 1 150 189 49 594 47 Algerian ------------------------------------------------Arab* --------------------------------------------------Armenian -----------------------------------------------Assyrian ------------------------------------------------Egyptian ------------------------------------------------Iranian -------------------------------------------------Iraqi ---------------------------------------------------Israeli --------------------------------------------------Jordanian -----------------------------------------------Lebanese------------------------------------------------- 0 26 174 6 28 117 28 13 26 563 116 5 340 2 948 159 1 654 3 399 267 1 158 723 27 226 64 790 401 14 328 2 494 74 167 153 4 308 36 866 1 308 139 255 2 208 104 249 43 2 611 69 2 893 6 763 322 2 071 3 214 299 2 722 431 19 234 0 380 6 345 57 306 378 9 194 78 2 666 7 608 455 55 279 570 11 198 118 3 732 4 49 82 26 63 150 32 9 16 717 8 1 085 540 107 453 1 902 149 244 203 2 837 Middle Eastern* ------------------------------------------Moroccan -----------------------------------------------Palestinian ----------------------------------------------Saudi Arabian --------------------------------------------Syrian --------------------------------------------------Turkish -------------------------------------------------Yemeni -------------------------------------------------Other North Africian and Southwest Asian, n.e.c. ------------------ 25 5 20 0 204 80 0 59 96 449 2 436 75 6 145 2 147 42 336 42 66 181 83 732 459 0 85 67 142 317 152 1 350 673 34 310 176 1 097 821 240 12 591 2 430 77 248 6 41 44 21 2 796 399 15 8 39 180 140 0 637 828 7 17 0 0 24 41 300 70 9 7 99 18 464 57 700 529 46 310 66 0 0 0 0 0 0 147 0 0 0 0 0 8 035 214 196 2 215 245 251 2 329 150 630 37 133 309 1 604 44 20 19 215 7 49 1 132 0 52 0 0 131 1 109 19 11 6 24 109 9 541 10 116 14 23 164 8 367 346 37 16 400 96 364 1 984 211 649 241 48 898 1 179 10 080 9 0 67 9 611 508 0 14 0 5 108 3 390 78 0 0 103 0 20 1 582 0 149 45 112 96 133 0 0 0 0 0 0 128 0 0 0 0 29 2 980 81 0 6 76 54 87 1 082 24 202 0 0 89 CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ------------------------------------------------Brazilian ------------------------------------------------Guyanese -----------------------------------------------Other Central and South American, n.e.c. ------------------------ WEST INDIES (NON-HISPANIC GROUPS) NORTH AFRICA AND SOUTHWEST ASIA SUBSAHARAN AFRICA African* ------------------------------------------------Cape Verdean --------------------------------------------Eritrean -------------------------------------------------Ethiopian13 ----------------------------------------------Ghanian ------------------------------------------------Kenyan -------------------------------------------------Liberian -------------------------------------------------Nigerian ------------------------------------------------Sierra Leonean -------------------------------------------South African* -------------------------------------------Sudanese -----------------------------------------------Ugandan ------------------------------------------------Other Subsaharan African, n.e.c. ------------------------------ DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 20 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 25 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee 0 428 0 0 59 0 0 100 17 633 191 76 1 683 341 6 11 3 810 108 20 610 26 0 272 2 726 16 88 333 211 0 561 19 769 293 101 1 924 713 0 0 1 227 16 0 116 26 0 46 3 500 20 0 182 24 0 0 214 0 0 71 0 0 120 4 551 73 0 470 54 0 Amerasian* ---------------------------------------------Asian* -------------------------------------------------Burmese ------------------------------------------------Cambodian14---------------------------------------------Cantonese -----------------------------------------------Chinese15 -----------------------------------------------Eurasian* -----------------------------------------------Filipino -------------------------------------------------Hmong -------------------------------------------------Hong Kong ----------------------------------------------- 92 33 0 74 0 364 3 934 5 0 471 2 006 250 2 165 40 16 829 210 12 726 243 74 135 764 3 451 10 5 178 93 3 689 76 13 286 680 72 2 255 196 14 796 284 9 114 516 65 475 2 232 184 4 155 290 25 908 309 14 474 359 112 43 325 19 3 417 103 3 037 40 2 032 970 11 173 670 7 248 24 2 872 83 6 028 6 12 32 102 10 54 0 410 17 824 0 0 168 990 42 953 5 5 048 76 3 901 26 17 Indonesian ----------------------------------------------Japanese -----------------------------------------------Khmer -------------------------------------------------Korean -------------------------------------------------Laotian -------------------------------------------------Malaysian -----------------------------------------------Mongolian-----------------------------------------------Okinawan -----------------------------------------------Singaporean ---------------------------------------------Taiwanese -----------------------------------------------Thai ---------------------------------------------------Vietnamese ----------------------------------------------Other Asian, n.e.c. ----------------------------------------- 33 560 0 687 42 14 0 2 33 127 159 256 0 659 13 999 41 13 041 2 053 861 84 162 50 3 032 1 965 4 121 29 313 4 272 0 5 459 821 322 10 54 8 1 010 1 087 6 248 6 1 239 14 142 5 9 355 3 287 192 8 92 34 939 1 144 8 130 55 746 10 151 104 25 800 1 928 397 311 117 11 4 625 1 889 14 126 14 52 1 010 8 1 293 2 040 72 11 0 0 300 348 587 6 57 3 279 0 3 198 393 176 0 26 42 450 965 1 379 5 25 458 0 686 89 98 6 7 24 53 138 389 0 155 4 735 0 5 063 2 494 454 28 0 38 1 266 784 1 921 5 25 0 0 14 86 8 7 10 36 16 0 16 1 489 49 0 209 1 225 11 54 121 178 106 14 163 410 27 9 329 983 8 25 100 95 128 7 64 1 429 131 256 746 3 437 297 250 234 292 488 181 460 1 483 29 38 367 1 900 52 153 76 126 206 55 84 170 0 0 11 158 0 15 8 25 0 0 0 379 41 0 230 799 18 17 136 110 108 0 101 85 0 0 33 155 0 48 8 10 0 8 10 478 25 0 322 885 37 50 81 119 236 0 53 Acadian/ Cajun--------------------------------------------Afro-American16 ------------------------------------------Aleut --------------------------------------------------American Indian17 -----------------------------------------American -----------------------------------------------Canadian18 ----------------------------------------------Eskimo -------------------------------------------------French Canadian ------------------------------------------Newfoundland --------------------------------------------North American* ------------------------------------------- 49 3 082 3 26 597 9 669 438 15 4 194 1 0 2 614 997 269 120 383 689 512 979 13 508 231 38 709 69 327 3 957 194 597 55 468 588 257 655 2 306 195 10 961 0 174 1 061 38 914 439 141 079 98 355 10 553 694 29 161 25 102 1 649 893 892 25 166 847 287 304 11 325 197 31 007 201 215 96 21 098 23 12 731 19 137 5 338 79 72 747 38 33 5 086 869 786 9 117 321 347 488 3 438 47 9 923 19 425 65 2 613 0 46 998 12 191 504 86 3 288 9 19 5 498 674 249 25 302 454 653 143 3 970 105 11 272 18 689 Nova Scotian --------------------------------------------Pennsylvania German --------------------------------------United States --------------------------------------------White19-------------------------------------------------Other North America, n.e.c. ---------------------------------- 3 518 325 661 0 60 24 872 27 685 45 819 7 16 1 810 8 559 53 971 4 76 3 556 4 895 27 747 0 84 143 008 22 295 23 122 0 83 182 1 824 3 308 0 5 797 15 882 40 027 0 0 773 336 1 685 0 8 1 160 27 690 66 823 0 2 636 20 484 219 731 942 442 40 140 465 868 61 015 260 154 138 575 844 962 11 329 59 999 27 035 564 832 5 421 39 267 64 718 858 098 SOUTH ASIA Afghanistan ---------------------------------------------Asian Indian ---------------------------------------------Bangladeshi ---------------------------------------------Nepali --------------------------------------------------Pakastani -----------------------------------------------Sri Lankan ----------------------------------------------Other South Asian, n.e.c. ------------------------------------ OTHER ASIA PACIFIC Australian -----------------------------------------------Chamorro -----------------------------------------------Fijian---------------------------------------------------Guamanian ----------------------------------------------Hawaiian------------------------------------------------Micronesian ---------------------------------------------New Zealander -------------------------------------------Pacific Islander* ------------------------------------------Polynesian-----------------------------------------------Samoan ------------------------------------------------Tongan -------------------------------------------------Other Pacific Islander, n.e.c. ---------------------------------- NORTH AMERICA OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20------------------------Not reported ---------------------------------------------- 26 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 21 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 16 986 510 1 722 850 562 758 6 187 358 4 866 692 1 793 477 4 891 769 453 588 Alsatian ----------------------------------------------------Austrian2 ---------------------------------------------------Basque ----------------------------------------------------Basque, French --------------------------------------------Basque, Spanish -------------------------------------------Basque, n.e.c. --------------------------------------------Bavarian ---------------------------------------------------Belgian3----------------------------------------------------British -----------------------------------------------------Celtic ------------------------------------------------------- 2 673 23 447 1 248 98 238 912 204 3 285 76 861 2 258 29 3 903 1 422 148 261 1 013 12 425 24 527 268 48 1 913 2 0 0 2 23 175 2 798 132 456 14 886 403 19 59 325 151 1 564 49 823 1 109 292 18 430 1 770 145 154 1 471 140 2 862 35 509 1 262 33 1 993 9 0 0 9 40 399 7 073 235 344 25 396 101 8 8 85 327 25 345 9 961 246 12 1 742 602 146 21 435 0 160 2 001 16 Comish ----------------------------------------------------Cypriot ----------------------------------------------------Cypriot, Greek ---------------------------------------------Cypriot, Turkish --------------------------------------------Cypriot, n.e.c. ---------------------------------------------Danish -----------------------------------------------------Dutch -----------------------------------------------------English -----------------------------------------------------Finnish -----------------------------------------------------Flemish ----------------------------------------------------- 100 76 27 0 49 655 375 901 634 755 46 0 0 0 0 048 770 665 718 127 3 10 8 0 2 386 923 384 968 61 27 234 141 0 93 374 477 605 770 595 236 53 12 0 41 215 310 190 110 477 25 0 0 0 0 1 332 74 877 269 798 452 50 922 8 6 2 0 791 466 016 118 818 10 0 0 0 0 889 648 398 408 55 350 914 275 976 293 943 171 237 292 100 40 125 468 927 4 325 106 348 448 71 684 22 7 16 3 239 004 2 630 680 14 366 809 612 358 144 249 7 288 163 158 13 21 762 158 469 1 681 44 72 941 13 084 99 21 10 10 Total ------------------------------------------------- WESTERN EUROPE (NON-HISPANIC GROUPS) French4 ----------------------------------------------------German5 ---------------------------------------------------Greek6-----------------------------------------------------Icelander ---------------------------------------------------Irish7 ------------------------------------------------------Italian8 ----------------------------------------------------Luxemburger ------------------------------------------------Maltese ----------------------------------------------------Manx -----------------------------------------------------Northern Irish ------------------------------------------------ 47 324 2 023 12 571 2 949 31 1 2 368 312 175 686 048 147 863 294 704 702 245 95 163 55 749 3 53 299 10 2 136 45 2 9 147 1 18 117 1 050 6 902 414 439 970 645 857 39 84 108 27 132 574 59 090 1 842 44 100 839 32 428 5 45 18 8 178 732 1 186 056 23 390 814 888 908 207 023 564 360 135 199 82 179 897 44 265 1 389 18 5 768 156 1 80 162 410 35 10 15 101 2 Norwegian --------------------------------------------------Portuguese -------------------------------------------------Azores Islander ---------------------------------------------Madeira Islander --------------------------------------------Portuguese, n.e.c. ------------------------------------------Prussian----------------------------------------------------Saxon -----------------------------------------------------Scandinavian ------------------------------------------------Scotch-Irish9-------------------------------------------------Scottish ----------------------------------------------------- 94 096 13 304 60 7 13 237 1 388 246 22 201 495 886 306 854 36 178 1 954 13 0 1 941 377 23 34 106 24 292 89 463 3 537 1 859 0 0 1 859 24 6 1 044 12 286 30 588 35 815 10 818 54 6 10 758 581 129 10 366 195 722 166 959 333 521 13 215 57 8 13 150 1 046 107 64 179 154 566 182 690 2 598 487 7 0 480 49 13 958 54 222 34 173 416 271 1 769 4 0 1 765 1 367 38 24 491 43 582 58 589 18 047 882 0 0 882 67 0 3 830 15 227 17 097 Sicilian -----------------------------------------------------Swedish ----------------------------------------------------Swiss -----------------------------------------------------Tirol ------------------------------------------------------Welsh -----------------------------------------------------West German -----------------------------------------------Western European* -------------------------------------------Other Western European, n.e.c. ----------------------------------- 1 452 155 193 32 304 35 95 447 202 3 435 142 151 103 715 31 737 58 48 070 27 629 0 207 10 113 1 902 0 7 081 8 196 0 554 56 040 19 451 100 54 891 89 1 343 26 803 257 953 36 795 18 69 094 115 2 271 124 151 6 856 3 956 0 16 896 4 214 7 1 926 159 216 65 915 58 29 895 50 595 61 24 20 885 3 401 45 6 674 7 165 19 539 39 867 41 81 742 814 731 642 825 137 0 275 0 22 446 373 108 107 711 101 0 38 0 30 249 1 555 551 93 2 080 533 45 355 103 75 543 555 144 461 593 339 44 969 48 110 430 873 922 255 897 12 7 155 46 0 4 215 1 936 851 19 1 511 772 61 547 7 102 391 155 887 336 310 0 0 148 0 0 746 3 745 790 36 1 898 EASTERN EUROPE AND SOVIET UNION Albanian ---------------------------------------------------Belorussian -------------------------------------------------Bulgarian ---------------------------------------------------Carpath Rusyn -----------------------------------------------Central European ---------------------------------------------Croatian ---------------------------------------------------Czech10 ----------------------------------------------------Czechoslovakian ----------------------------------------------Estonian ---------------------------------------------------European* --------------------------------------------------- 15 166 23 23 1 3 1 11 7 13 5 14 10 23 7 1 23 22 104 8 5 German Russian/ Volga-----------------------------------------Hungarian --------------------------------------------------Latvian ----------------------------------------------------Lithuanian --------------------------------------------------Macedonian -------------------------------------------------Moravian ---------------------------------------------------Northern European* -------------------------------------------Polish -----------------------------------------------------Rom ------------------------------------------------------Romanian --------------------------------------------------- 333 31 884 2 279 14 034 279 1 209 2 840 237 557 246 7 564 24 2 944 172 1 118 0 9 935 14 832 0 943 0 3 102 179 1 579 34 23 447 17 475 2 412 289 25 178 1 806 13 375 150 57 1 643 115 121 57 4 633 595 16 797 2 926 8 530 177 61 5 772 95 828 275 5 124 15 9 248 168 2 225 45 0 141 30 864 45 749 343 25 385 3 003 16 790 256 123 853 505 808 31 2 651 20 1 374 127 332 13 0 260 9 764 14 169 Russian11---------------------------------------------------Ruthenian --------------------------------------------------Serbian ----------------------------------------------------Slavic* ----------------------------------------------------Slovak -----------------------------------------------------Slovene ----------------------------------------------------Soviet Union ------------------------------------------------Ukrainian ---------------------------------------------------Windish ----------------------------------------------------Yugoslavian* ------------------------------------------------Other Eastern European and Soviet Union, n.e.c. ---------------------- 55 602 59 2 181 2 120 48 463 2 254 119 13 094 66 4 943 2 444 4 401 31 220 532 4 167 289 8 1 062 0 3 095 178 5 743 3 55 206 1 641 45 26 978 0 233 545 42 578 92 1 563 1 446 31 604 1 125 146 12 321 6 2 523 2 957 41 395 22 1 195 2 592 18 892 1 132 112 10 814 9 12 726 1 293 5 022 23 1 365 255 11 267 423 6 1 514 0 887 84 33 289 6 5 715 2 597 45 769 6 478 19 6 783 0 6 177 960 2 969 0 85 321 2 872 295 0 405 0 1 024 16 DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 22 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 27 Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 2 448 1 499 824 2 442 15 669 2 664 17 758 3 875 4 033 10 732 332 224 0 649 666 233 497 114 159 612 50 17 0 11 140 25 209 71 37 15 1 350 5 385 94 2 195 4 078 870 5 851 2 318 2 564 3 850 486 272 16 896 1 091 324 1 723 457 485 560 19 15 0 103 127 17 256 187 62 13 181 186 16 288 910 354 1 444 359 125 204 20 7 0 0 25 0 18 13 6 3 202 614 909 368 562 566 240 6 135 37 517 53 077 6 708 216 136 45 675 115 258 35 829 1 656 629 151 43 24 635 7 30 2 49 437 9 7 779 1 561 660 28 375 2 821 3 000 218 6 105 17 453 21 170 14 834 320 302 128 472 502 1 054 38 1 196 6 816 1 314 352 47 11 2 157 18 39 0 41 470 122 3 405 135 137 51 339 386 266 18 306 15 493 256 2 038 35 12 13 725 22 34 0 17 360 24 375 31 226 186 758 629 3 295 274 103 2 804 21 075 97 147 0 9 125 2 525 0 28 0 316 3 600 30 357 315 912 98 174 3 488 33 319 67 281 17 24 292 4 921 6 26 12 32 648 9 265 27 143 27 13 529 7 367 0 19 0 793 2 147 904 59 6 386 0 0 0 57 2 0 89 1 382 660 9 60 614 139 35 7 59 0 0 22 233 83 7 0 11 0 0 336 466 132 999 289 265 22 258 58 107 3 12 8 22 8 0 7 0 7 0 2 6 13 0 0 0 0 0 0 0 237 315 237 268 51 23 22 65 11 96 93 50 107 146 11 37 0 0 16 82 0 14 16 4 0 0 0 0 0 4 77 40 39 35 6 0 0 22 0 7 0 0 0 0 0 0 0 0 0 0 713 673 500 018 429 4 513 137 81 63 102 6 0 86 0 0 64 113 17 0 63 0 217 1 398 4 975 737 216 2 787 84 366 228 1 482 168 49 877 32 233 64 260 0 0 67 0 80 97 1 443 159 33 245 30 41 0 36 0 0 12 0 Algerian ----------------------------------------------------Arab* -----------------------------------------------------Armenian ---------------------------------------------------Assyrian ---------------------------------------------------Egyptian ---------------------------------------------------Iranian -----------------------------------------------------Iraqi ------------------------------------------------------Israeli -----------------------------------------------------Jordanian --------------------------------------------------Lebanese ---------------------------------------------------- 264 7 067 3 183 453 3 146 13 639 495 2 114 1 498 21 934 0 404 928 16 94 1 458 43 134 66 1 534 0 55 419 9 55 144 0 93 0 1 359 121 4 122 4 078 220 2 462 9 858 570 856 660 10 692 64 1 725 2 269 211 588 3 629 202 448 235 3 784 5 256 139 20 122 362 13 33 8 4 178 9 1 139 2 771 114 421 1 261 9 390 194 2 827 0 34 55 0 0 61 0 6 0 142 Middle Eastern* ----------------------------------------------Moroccan --------------------------------------------------Palestinian --------------------------------------------------Saudi Arabian -----------------------------------------------Syrian -----------------------------------------------------Turkish ----------------------------------------------------Yemeni ----------------------------------------------------Other North Africian and Southwest Asian, n.e.c. --------------------- 469 554 2 944 413 5 322 3 273 73 608 0 89 105 0 315 317 7 73 10 16 12 5 173 74 0 16 248 1 076 2 170 363 2 248 2 673 90 434 122 97 451 185 1 189 1 683 32 234 0 8 76 30 806 368 14 19 50 165 735 72 878 649 0 195 6 5 8 12 49 28 0 0 13 629 264 196 6 925 531 404 13 153 416 1 786 92 138 1 252 488 20 0 0 11 0 0 280 0 93 17 8 47 210 23 0 5 4 0 2 13 0 3 0 0 12 7 112 387 355 59 1 048 162 382 2 210 405 437 307 109 772 2 795 51 223 23 172 94 0 772 39 236 49 46 380 423 0 0 0 5 0 0 247 6 10 0 5 18 1 845 10 34 10 79 13 40 1 379 20 102 65 29 286 110 0 0 0 0 0 0 102 0 0 8 0 0 CENTRAL AND SOUTH AMERICA (HISPANIC GROUPS) AND SPAIN Argentinean -------------------------------------------------Bolivian ----------------------------------------------------Central American* --------------------------------------------Chilean ----------------------------------------------------Colombian --------------------------------------------------Costa Rican -------------------------------------------------Cuban -----------------------------------------------------Dominican --------------------------------------------------Ecuadorian --------------------------------------------------Guatemalan -------------------------------------------------Hispanic* ---------------------------------------------------Honduran---------------------------------------------------Latin American* ----------------------------------------------Mexican ---------------------------------------------------Nicaraguan -------------------------------------------------Panamanian -------------------------------------------------Paraguayan -------------------------------------------------Peruvian ---------------------------------------------------Puerto Rican ------------------------------------------------Salvadoran -------------------------------------------------South American* ---------------------------------------------Spaniard12--------------------------------------------------Spanish* ---------------------------------------------------Uruguayan --------------------------------------------------Venezuelan -------------------------------------------------Other Hispanic, n.e.c. ------------------------------------------ 254 9 9 3 403 7 5 CENTRAL AND SOUTH AMERICA (NON-HISPANIC GROUPS) Belizean ---------------------------------------------------Brazilian ---------------------------------------------------Guyanese --------------------------------------------------Other Central and South American, n.e.c. --------------------------- WEST INDIES (NON-HISPANIC GROUPS) Bahamian --------------------------------------------------Barbadian --------------------------------------------------Bermudan --------------------------------------------------British West Indian -------------------------------------------Antigua and Barbuda ----------------------------------------Grenadian -------------------------------------------------Kitts-Nevis Islander ------------------------------------------St. Lucia Islander -------------------------------------------Vincent-Grenadine Islander-------------------------------------British West Indian, n.e.c. ------------------------------------Dutch West Indian --------------------------------------------Haitian ----------------------------------------------------Jamaican ---------------------------------------------------Trinidadian and Tobagonian -------------------------------------US Virgin Islander --------------------------------------------West Indian* ------------------------------------------------Other West Indian, n.e.c. --------------------------------------- 16 1 7 2 NORTH AFRICA AND SOUTHWEST ASIA SUBSAHARAN AFRICA African* ---------------------------------------------------Cape Verdean -----------------------------------------------Eritrean ----------------------------------------------------Ethiopian13--------------------------------------------------Ghanian ----------------------------------------------------Kenyan ----------------------------------------------------Liberian ----------------------------------------------------Nigerian ----------------------------------------------------Sierra Leonean -----------------------------------------------South African* ----------------------------------------------Sudanese ---------------------------------------------------Ugandan ---------------------------------------------------Other Subsaharan African, n.e.c. ---------------------------------- 28 TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 23 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 DETAILED ANCESTRY GROUPS FOR STATES Table 3. Persons Who Reported at Least One Specific Ancestry Group: 1990mCon. United States Region Division State State Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 1 145 40 506 528 113 8 921 649 0 29 1 306 27 2 132 33 0 7 259 2 0 87 0 0 4 814 14 937 363 55 5 278 405 12 696 6 973 14 38 715 124 6 2 1 925 60 0 367 41 0 65 4 133 100 69 722 156 0 24 82 0 0 129 6 0 Amerasian* -------------------------------------------------Asian* -----------------------------------------------------Burmese ---------------------------------------------------Cambodian14 ------------------------------------------------Cantonese --------------------------------------------------Chinese15---------------------------------------------------Eurasian* --------------------------------------------------Filipino-----------------------------------------------------Hmong ----------------------------------------------------Hong Kong -------------------------------------------------- 1 056 7 585 285 5 659 575 55 023 499 40 053 133 262 104 263 63 1 050 32 5 487 189 2 983 155 10 23 147 4 33 8 572 20 405 0 6 667 3 696 311 3 761 159 20 857 346 35 605 7 26 834 2 957 129 10 074 331 33 954 600 49 222 779 59 72 344 25 24 16 1 248 26 1 624 0 0 168 909 24 444 77 7 147 71 4 942 15 942 42 20 70 2 37 0 485 22 594 0 0 Indonesian --------------------------------------------------Japanese ---------------------------------------------------Khmer -----------------------------------------------------Korean ----------------------------------------------------Laotian ----------------------------------------------------Malaysian --------------------------------------------------Mongolian --------------------------------------------------Okinawan --------------------------------------------------Singaporean ------------------------------------------------Taiwanese --------------------------------------------------Thai-------------------------------------------------------Vietnamese -------------------------------------------------Other Asian, n.e.c. -------------------------------------------- 1 555 23 729 113 35 281 9 157 1 650 277 275 176 13 080 7 930 60 649 97 288 8 455 6 3 215 1 678 40 0 10 9 567 831 2 540 7 56 536 0 798 137 19 11 4 0 93 49 177 0 894 12 385 128 32 362 2 321 1 117 148 178 34 3 527 3 997 20 271 31 1 088 43 378 236 32 918 5 370 762 38 164 22 3 541 3 269 17 004 293 46 1 257 10 955 45 15 12 0 0 292 343 133 0 404 4 235 18 6 499 5 297 324 43 41 77 985 539 2 324 29 13 875 0 378 6 39 0 0 7 44 110 84 0 2 677 172 47 2 117 4 136 161 346 502 658 748 512 252 1 372 39 18 69 2 102 69 390 140 831 1 854 3 630 133 93 0 0 18 54 10 25 5 7 27 13 0 1 651 132 0 1 006 1 901 38 331 333 119 442 9 188 2 012 590 395 3 280 7 207 260 353 757 482 3 635 184 439 211 0 0 12 180 0 8 31 5 12 0 4 821 24 0 120 639 1 54 39 37 52 13 56 173 4 0 55 236 0 3 23 4 26 0 16 Acadian/ Cajun -----------------------------------------------Afro-American16----------------------------------------------Aleut ------------------------------------------------------American Indian17 --------------------------------------------American ---------------------------------------------------Canadian18--------------------------------------------------Eskimo ----------------------------------------------------French Canadian ---------------------------------------------Newfoundland -----------------------------------------------North American* ---------------------------------------------- 105 982 1 720 618 89 815 112 880 681 17 117 339 60 277 58 1 048 519 9 288 25 43 145 54 004 4 287 173 5 607 0 57 74 1 611 6 28 443 31 178 3 923 19 33 049 12 10 4 581 969 899 69 201 613 549 672 9 597 212 33 641 143 696 504 060 165 713 521 862 982 725 58 200 377 47 174 0 109 517 259 573 1 021 43 3 296 0 159 593 214 538 67 76 294 72 625 4 425 146 55 442 10 115 452 2 732 2 21 112 17 472 630 16 2 885 0 8 Nova Scotian ------------------------------------------------Pennsylvania German ------------------------------------------United States ------------------------------------------------White19 ----------------------------------------------------Other North America, n.e.c. ------------------------------------- 190 3 808 58 877 249 937 33 21 329 3 207 15 055 10 33 148 945 4 809 0 52 3 033 27 923 56 228 0 84 4 490 9 629 50 460 12 6 988 8 304 14 295 7 49 2 691 3 933 8 118 2 0 801 625 3 828 0 209 466 1 557 383 21 845 119 645 11 622 43 293 58 132 815 350 80 898 396 083 34 696 304 909 27 298 236 499 4 922 37 005 SOUTH ASIA Afghanistan -------------------------------------------------Asian Indian ------------------------------------------------Bangladeshi -------------------------------------------------Nepali -----------------------------------------------------Pakastani---------------------------------------------------Sri Lankan --------------------------------------------------Other South Asian, n.e.c. --------------------------------------- OTHER ASIA PACIFIC Australian --------------------------------------------------Chamorro --------------------------------------------------Fijian ------------------------------------------------------Guamanian -------------------------------------------------Hawaiian ---------------------------------------------------Micronesian -------------------------------------------------New Zealander ----------------------------------------------Pacific Islander* ----------------------------------------------Polynesian --------------------------------------------------Samoan ----------------------------------------------------Tongan ----------------------------------------------------Other Pacific Islander, n.e.c. ------------------------------------- NORTH AMERICA 2 125 2 190 161 21 1 52 OTHER GROUPS, N.E.C., NOT CLASSIFIED AND NOT REPORTED Other groups, n.e.c. and not classified20 ---------------------------Not reported ------------------------------------------------- Note: Some individuals reported a single ancestry group; others reported more than one group. All first (or single) and second responses were coded. Since persons who reported two ancestries were included in more than one group, the sum of persons reporting the ancestry groups is greater than the total. The ancestry data include groups that correspond to those identified separately in the race and Hispanic origin items.In the 1990 census, separate questions were asked on race and Hispanic origin. The race item provides the primary source of data for White; Black; American Indian, Eskimo, and Aleut; and Asian and Pacific Islander. The 1990 census Hispanic origin question is the primary identifier for Mexican, Puerto Rican, Cuban and those who indicated that they were of " other" Spanish/ Hispanic origin. * This category represents a general type response, which may encompass several ancestry groups. 1Numbers and percents by ancestry group do not add to total because persons reporting a multiple ancestry are included in more than one group. 2Excludes Tirol. 3Excludes Flemish. 4Excludes French Basque. 5Excludes Bavarian, Prussian, Saxon and West German. 6Excludes Greek Cypriot. 7Excludes Northern Irish and Celtic. 8Excludes Sicilian. 9Includes persons who reported " Scotch-Irish." 10Excludes Moravian. 11Includes persons who reported " Rusyn," " Cossack," " Black Russian," " Great Russian," " Red Russian," " Rossiya," and " Muscovite." 12Excludes Spanish Basque. 13Excludes Eritrean. 14Excludes Khmer. 15Excludes Cantonese. 16Includes persons who reported " African American," " Afro-American," " Afro," " Black," " Negro," " Colored," " Creole," and other related groups. 17Includes persons who reported " Native American," " Centraal American Indian," " South American Indian," and " Cherokee," and other related groups. 18Excludes Newfoundland and Nova Scotia. 19Includes persons who reported " White," " Caucasian." " Anglo," " Wasp," " Appalachian," " Aryan," and other related groups. 20Includes persons who reported " Mixture," " Adopted," " Don’t know," and other unclassifiable responses, as well as responses indicating religious groups. DETAILED ANCESTRY GROUPS FOR STATES TIPSII [UPF] ROZ725 POP 34580000 09/ 03/ 92 8:56 AM MACHINE: D DATA:NONE TAPE: NONE FRAME: 24 TSF:POP* 92. 09/ 03/ 92 08:54:49 UTF:POP* 93. 09/ 03/ 92 08:54:49 META:POP* 96. 09/ 03/ 92 08:55:43 29 JOBNAME: No Job Name PAGE: 1 SESS: 72 OUTPUT: Wed Sep 2 15:06:24 1992 / node2/ F main F / 90dec/ s1/ 2/ appa APPENDIX A. Area Classifications CONTENTS East South Central Division: Census Division (See Census Region and Census Division) Census Region and Census Division - - - - - - - - - - - - - - - - - - - - - - - A–1 Division (See Census Region and Census Division) Region (See Census Region and Census Division) State - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–1 United States - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–2 Kentucky, Tennessee, Alabama, Mississippi These definitions are for many geographic entities and concepts that the Census Bureau will include in its 1990 census data products. Not all entities and concepts are shown in any one 1990 census data product. For a description of geographic areas included in each data product, see appendix F. West Region CENSUS REGION AND CENSUS DIVISION Census Division Census divisions are groupings of States that are subdivisions of the four census regions. There are nine divisions, which the Census Bureau adopted in 1910 for the presentation of data. The regions, divisions, and their constituent States are: West South Central Division: Arkansas, Louisiana, Oklahoma, Texas Mountain Division: Montana, Idaho, Wyoming, Colorado, New Mexico, Arizona, Utah, Nevada Pacific Division: Washington, Oregon, California, Alaska, Hawaii Census Region Census regions are groupings of States that subdivide the United States for the presentation of data. There are four regions—Northeast, Midwest, South, and West. Each of the four census regions is divided into two or more census divisions. Prior to 1984, the Midwest region was named the North Central region. From 1910, when census regions were established, through the 1940’s, there were three regions—North, South, and West. Northeast Region New England Division: Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut Middle Atlantic Division: New York, New Jersey, Pennsylvania Midwest Region East North Central Division: Ohio, Indiana, Illinois, Michigan, Wisconsin West North Central Division: Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska, Kansas South Region South Atlantic Division: Delaware, Maryland, District of Columbia, Virginia, West Virginia, North Carolina, South Carolina, Georgia, Florida AREA CLASSIFICATIONS STATE States are the primary governmental divisions of the United States. The District of Columbia is treated as a statistical equivalent of a State for census purposes. The four census regions, nine census divisions, and their component States are shown under ‘‘CENSUS REGION AND CENSUS DIVISION’’ in this appendix. The Census Bureau treats the outlying areas as State equivalents for the 1990 census. The outlying areas are American Samoa, Guam, the Northern Mariana Islands, Palau, Puerto Rico, and the Virgin Islands of the United States. Geographic definitions specific to each outlying area are shown in appendix A in the data products for each area. Each State and equivalent is assigned a two-digit numeric Federal Information Processing Standards (FIPS) code in alphabetical order by State name, followed by the outlying area names. Each State and equivalent area also is assigned a two-digit census code. This code is assigned on the basis of the geographic sequence of each State within each census division; the first digit of the code is the code for the respective division. Puerto Rico, the Virgin A–1 JOBNAME: No Job Name PAGE: 2 SESS: 72 OUTPUT: Wed Sep 2 15:06:24 1992 / node2/ F main F / 90dec/ s1/ 2/ appa Islands, and the outlying areas of the Pacific are assigned ‘‘0’’ as the division code. Each State and equivalent area also is assigned the two-letter FIPS/ United States Postal Service (USPS) code. In 12 selected States (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin), the minor civil divisions also serve as generalpurpose local governments. The Census Bureau presents data for these minor civil divisions in all data products in which it provides data for places. A–2 UNITED STATES The United States comprises the 50 States and the District of Columbia. In addition, the Census Bureau treats the outlying areas as statistical equivalents of States for the 1990 census. The outlying areas include American Samoa, Guam, the Northern Mariana Islands, Palau, Puerto Rico, and the Virgin Islands. AREA CLASSIFICATIONS JOBNAME: No Job Name PAGE: 1 SESS: 5 OUTPUT: Wed Sep 2 15:06:41 1992 / node2/ F main F / 90dec/ s1/ 2/ appb APPENDIX B. Definitions of Subject Characteristics CONTENTS Ancestry - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Relationship of Ancestry, Race, and Hispanic Origin Questions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - B–1 B–3 ANCESTRY The data on ancestry were derived from answers to questionnaire item 13, which was asked of a sample of persons. The question was based on self-identification; the data on ancestry represent self-classification by people according to the ancestry group(s) with which they most closely identify. Ancestry refers to a person’s ethnic origin or descent, ‘‘roots,’’ or heritage or the place of birth of the person or the person’s parents or ancestors before their arrival in the United States. Some ethnic identities, such as ‘‘Lebanese’’ or ‘‘West Indian’’ can be traced to geographic areas such as Lebanon or the West Indies; other ancestries such as ‘‘Pennsylvania German’’ or ‘‘Acadian/ Cajun’’ evolved in the United States. The intent of the ancestry question was not to measure the degree of attachment the respondent had to a particular ethnicity. For example, a response of ‘‘Irish’’ might reflect total involvement in an Irish community or only a memory of ancestors several generations removed from the individual. The Census Bureau coded the responses through an automated review, edit, and coding operation. The openended write-in ancestry item was coded by subject-matter specialists into a numeric representation using a code list containing over 600 categories. The 1990 code list reflects the results of the Census Bureau’s own research and consultations with many ethnic experts. Many decisions were made to determine the classification of responses. These decisions affected the grouping of the tabulated data. For example, the Assyrian category includes both responses of Assyrian and Chaldean (see appendix G for a full ancestry code list). The ancestry question allowed respondents to report one or more ancestry groups. While a large number of respondents listed a single ancestry, just under one-third included more than one ethnic entry. Generally, only the first two responses reported were coded in 1990. If a response was in terms of a dual ancestry; for example, Irish-English, the person was assigned two codes, in this case one code for Irish and another code for English. However, in certain cases, multiple responses such as ‘‘French Canadian,’’ ‘‘Scotch-Irish,’’ ‘‘Greek Cypriote,’’ and ‘‘Black Dutch’’ were assigned a single code reflecting their status as unique groups. If a person reported one of these DEFINITIONS OF SUBJECT CHARACTERISTICS groups in addition to another group, for example, ‘‘ScotchIrish English,’’ resulting in three terms, that person received one code for the unique group (‘‘Scotch-Irish’’) and another one for the remaining group (‘‘English’’). If a person reported ‘‘English Irish French,’’ only English and Irish were coded. Certain combinations of ancestries, where the ancestry group is a part of another, such as ‘‘GermanBavarian,’’ were coded as a single ancestry using the smaller group (‘‘Bavarian’’). Also, responses such as ‘‘Italian American’’ or ‘‘Arab American,’’ were coded and tabulated as a single entry (‘‘Italian’’ or ‘‘Arab’’). The Census Bureau accepted ‘‘American’’ as a unique ethnicity if it was given alone, with an ambiguous response (such as ‘‘mixed’’ or ‘‘adopted’’), or with State names. If the respondent listed any other specific ethnic identity such as ‘‘Chinese American,’’ generally the ‘‘American’’ portion of the response was not coded. However, distinct groups such as ‘‘American Indian,’’ ‘‘Mexican American,’’ and ‘‘African American’’ were coded and identified separately because these groups are considered different from those who reported as ‘‘Indian,’’ ‘‘Mexican,’’ or ‘‘African’’ respectively. In all tabulations, when respondents provided an unacceptable ethnic identity (for example, an uncodable or unintelligible response such as ‘‘multi-national,’’ ‘‘adopted,’’ or ‘‘I have no idea’’), the answer was included in either the ‘‘not classified’’ or ‘‘not reported’’ categories. The tabulations on ancestry are presented using two types of data presentations—one using total persons as the base, and the other using total responses as the base. In this publication we have used presentations based on responses. Presentations based on persons will be available in our Summary Tape File products. The following are categories shown in the two data presentations: Presentation Based on Persons: Single Ancestries Reported—Includes all persons who reported only one ethnic group. Included in this category are persons with multiple-term responses such as ‘‘ScotchIrish’’ who reported more than one group and were assigned a single code. Multiple Ancestries Reported—Includes all persons who reported more than one group and were assigned two ancestry codes. Ancestry Unclassified—Includes all persons who provided a response that could not be assigned an ancestry code because they provided nonsensical entries or religious responses. B–1 JOBNAME: No Job Name PAGE: 2 SESS: 5 OUTPUT: Wed Sep 2 15:06:41 1992 / node2/ F main F / 90dec/ s1/ 2/ appb Presentations Based on Responses: • Other Asia Total Ancestries Reported—Includes the total number of ancestries reported and coded. If a person reported a multiple ancestry such as ‘‘French Danish,’’ that response was counted twice in the tabulations—once in the ‘‘French’’ category and again in the ‘‘Danish’’ category. Thus, the sum of the counts in this type of presentation is not the total population but the total of all responses. • Pacific First Ancestry Reported—Includes the first response of all persons who reported at least one entry. For example, in this category, the count for ‘‘Danish’’ would include all those who reported only Danish and those who reported Danish and some other group. Second Ancestry Reported—Includes the second response of all persons who reported a multiple ancestry. Thus, the count for ‘‘Danish’’ in this category includes all persons who reported Danish as the second response, regardless of the first response provided. Ancestry Classification The Bureau prepared a preliminary ancestry classification list for this report using a number of source materials, including the Harvard Encyclopedia of American Ethnic Groups. Persons knowledgeable in different aspects of ethnicity then reviewed the preliminary list for accuracy, consistency, and completeness. On the basis of a review of the comments, 1990 census results, and additional research, the Census Bureau finalized the list of ancestries shown in appendix G. The Census Bureau used a similar procedure to construct the 1980 census ancestry code list. It should be recognized that persons knowledgeable in ethnic identification sometimes have different views on some classifications since several groups may justifiably be classified in various ways. As a result, some experts would have classified several groups in this report differently. More information about the classification of the ancestry groups shown in the tables, is discussed below: 1. The ancestry groups shown in tables 2 and 3 have been classified in the following 11 geographical/ cultural groupings: • Western Europe (non Hispanic) • Eastern Europe and Soviet Union • North American These groupings do not adhere to strict geographical or cultural definitions. The Central and South America (Hispanic) grouping, however, adheres to Federal Statistical Directive No. 15, which provides guidelines on racial and ethnic categories for all Federal agencies. 2. Several ancestry groups in tables 2 and 3 can be combined to obtain a total for a broad category for example, Croatian, Serbian, Slovene, and Yugoslavian may be combined for certain purposes. Other 1990 Census Ancestry Tabulations The proposed 1990 subject report on ancestry will present additional data on the social and economic characteristics for ancestry groups. While the classification scheme and terminology used in this report are basically the same as that used in other 1990 census reports and summary tape files, the following differences in these sources should be noted: 1. This ancestry report presents a detailed list of 215 ancestry groups for the nation and States. The 1990 Summary Tape File (STF) 3 and related census reports show just over 30 groups and STF 4 and related census reports provides for an intermediate level of listing, showing 105 groups. Both the STF 3 and STF 4 data products provide data for small level geography, down to the block group level. 2. The composition of the ancestry categories (for example, Greek, Yugoslavian, and German, as well as other European and other North American) may differ from those in other data products. Limitation of the Data—Although some experts consider religious affiliation a component of ethnic identity, the ancestry question was not designed to collect any information concerning religion. The Bureau of the Census is prohibited from collecting information on religion. Thus, if a religion was given as an answer to the ancestry question, it was coded as an ‘‘Other’’ response. • Central and South America (Hispanic) • Central and South America (non Hispanic) • West Indies (non Hispanic) • North Africa and Southwest Asia • Subsaharan Africa • South Asia B–2 Comparability—A question on ancestry was first asked in the 1980 census. Although there was no comparable data prior to the 1980 census, related information on ethnicity was collected through questions on parental birthplace, own birthplace, and language, which were included in previous censuses. Unlike other census questions, there was no imputation for nonresponse to the ancestry question. DEFINITIONS OF SUBJECT CHARACTERISTICS JOBNAME: No Job Name PAGE: 3 SESS: 5 OUTPUT: Wed Sep 2 15:06:41 1992 / node2/ F main F / 90dec/ s1/ 2/ appb In 1990, respondents were allowed to report more than one ancestry group; however, only the first two ancestry groups were coded. In 1980, the Census Bureau attempted to code a third ancestry for selected triple-ancestry responses. New categories such as ‘‘Arab’’ and ‘‘West Indian’’ were added to the 1990 tabulation to meet important data needs. The ‘‘West Indian’’ category excluded ‘‘Hispanic’’ groups such as ‘‘Puerto Rican’’ and ‘‘Cuban’’ that were identified primarily through the question on Hispanic origin. In 1990, the ancestry group, ‘‘American’’ is recognized and tabulated as a unique ethnicity. In 1980, ‘‘American’’ was tabulated but included under the category ‘‘Ancestry not specified.’’ A major improvement in the 1990 census was the use of an automated coding system for ancestry responses. The automated coding system used in the 1990 census greatly reduced the potential for error associated with a clerical review. Specialists with a thorough knowledge of the subject matter reviewed, edited, coded, and resolved inconsistent or incomplete responses. RELATIONSHIP OF ANCESTRY, RACE, AND HISPANIC ORIGIN QUESTIONS In the 1990 census, separate questions also were asked on race and Hispanic origin (see appendix E for a facsimile of questionnaire items 4 and 7). The relationship of the ancestry item to the race and Hispanic origin items is described below. Race The data on race were derived from answers to questionnaire item 4. The concept of race as used by the Census Bureau reflects self-identification. The race item provided the primary source of data for the White; Black; American Indian, Eskimo, and Aleut; and Asian and Pacific Islander groups. Since race was reported separately from DEFINITIONS OF SUBJECT CHARACTERISTICS ancestry, a person indicating a particular ancestry could be of any race. For example, persons reporting ‘‘Black’’ in the race item may have reported a response of ‘‘Afro-American,’’ ‘‘African,’’ or ‘‘Jamaican’’ or more than one response in the ancestry question; likewise, persons reporting Chinese in the race item may have reported Chinese, Taiwanese, etc., or a multiple response in the ancestry item. The number of persons reporting ‘‘American Indian’’ ancestry (8.7 million) was considerably higher than the number of persons reporting ‘‘American Indian’’ in the race item (2.0 million). Most persons who reported ‘‘American Indian’’ ancestry, reported ‘‘White’’ as the race item. Differences between data derived from the ancestry and race questions for some groups may reflect factors such as differences in the concepts of race and ancestry, question format, etc. Additional evaluation is planned on this subject. Hispanic origin The data on Spanish/ Hispanic origin were derived from answers to questionnaire item 7. Persons of Hispanic origin are those who classified themselves in one of the specific Hispanic origin categories listed on the questionnaire—‘‘Mexican,’’ ‘‘Puerto Rican,’’ ‘‘Cuban,’’—as well as those who indicated that they were of ‘‘other Spanish/ Hispanic’’ origin. Data on the Hispanic origin population shown in this report are based on the ancestry question; however, the 1990 census Hispanic origin question is the primary identifier of this population. Hispanic origin population estimates derived from the ancestry and Hispanic origin questions may differ because of different question wording and format, respondent understanding of the question, etc. Cross-tabulations of the ancestry and Hispanic origin items and post-census evaluation will provide information about these differences. Also, the cross-tabulations will provide data on the composition of the ‘‘Other Hispanic’’ category of the Hispanic origin item. B–3 JOBNAME: No Job Name PAGE: 1 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc APPENDIX C. Accuracy of the Data CONTENTS Confidentiality of the Data - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–1 Editing of Unacceptable Data - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–9 Errors in the Data - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–2 Estimation Procedure - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–5 Sample Design - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–1 INTRODUCTION The data contained in this data product are based on the 1990 census sample. The data are estimates of the actual figures that would have been obtained from a complete count. Estimates derived from a sample are expected to be different from the 100-percent figures because they are subject to sampling and nonsampling errors. Sampling error in data arises from the selection of persons and housing units to be included in the sample. Nonsampling error affects both sample and 100-percent data, and is introduced as a result of errors that may occur during the collection and processing phases of the census. Provided below is a detailed discussion of both types of errors and a description of the estimation procedures. SAMPLE DESIGN Every person and housing unit in the United States was asked certain basic demographic and housing questions (for example, race, age, marital status, housing value, or rent). A sample of these persons and housing units was asked more detailed questions about such items as income, occupation, and housing costs in addition to the basic demographic and housing information. The primary sampling unit for the 1990 census was the housing unit, including all occupants. For persons living in group quarters, the sampling unit was the person. Persons in group quarters were sampled at a 1-in-6 rate. The sample designation method depended on the data collection procedures. Approximately 95 percent of the population was enumerated by the mailback procedure. In these areas, the Bureau of the Census either purchased a commercial mailing list, which was updated by the United States Postal Service and Census Bureau field staff, or prepared a mailing list by canvassing and listing each address in the area prior to Census Day. These lists were computerized and the appropriate units were electronically designated as sample units. The questionnaires were either mailed or hand-delivered to the addresses with instructions to complete and mail back the form. ACCURACY OF THE DATA Housing units in governmental units with a precensus (1988) estimated population of fewer than 2,500 persons were sampled at 1-in-2. Governmental units were defined for sampling purposes as all incorporated places, all counties, all county equivalents such as parishes in Louisiana, and all minor civil divisions in Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin. Housing units in census tracts and block numbering areas (BNA’s) with a precensus housing unit count below 2,000 housing units were sampled at 1-in-6 for those portions not in small governmental units (governmental units with a population less than 2,500). Housing units within census tracts and BNA’s with 2,000 or more housing units were sampled at 1-in-8 for those portions not in small governmental units. In list/ enumerate areas (about 5 percent of the population), each enumerator was given a blank address register with designated sample lines. Beginning about Census Day, the enumerator systematically canvassed an assigned area and listed all housing units in the address register in the order they were encountered. Completed questionnaires, including sample information for any housing unit listed on a designated sample line, were collected. For all governmental units with fewer than 2,500 persons in list/ enumerate areas, a 1-in-2 sampling rate was used. All other list/ enumerate areas were sampled at 1-in-6. Housing units in American Indian reservations, tribal jurisdiction statistical areas, and Alaska Native villages were sampled according to the same criteria as other governmental units, except the sampling rates were based on the size of the American Indian and Alaska Native population in those areas as measured in the 1980 census. Trust lands were sampled at the same rate as their associated American Indian reservations. Census designated places in Hawaii were sampled at the same rate as governmental units because the Census Bureau does not recognize incorporated places in Hawaii. The purpose of using variable sampling rates was to provide relatively more reliable estimates for small areas and decrease respondent burden in more densely populated areas while maintaining data reliability. When all sampling rates were taken into account across the Nation, approximately one out of every six housing units in the Nation was included in the 1990 census sample. CONFIDENTIALITY OF THE DATA To maintain the confidentiality required by law (Title 13, United States Code), the Bureau of the Census applies a confidentiality edit to the 1990 census data to assure that C–1 JOBNAME: No Job Name PAGE: 2 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc published data do not disclose information about specific individuals, households, or housing units. As a result, a small amount of uncertainty is introduced into the estimates of census characteristics. The sample itself provides adequate protection for most areas for which sample data are published since the resulting data are estimates of the actual counts; however, small areas require more protection. The edit is controlled so that the basic structure of the data is preserved. The confidentiality edit is implemented by selecting a small subset of individual households from the internal sample data files and blanking a subset of the data items on these household records. Responses to those data items were then imputed using the same imputation procedures that were used for nonresponse. A larger subset of households is selected for the confidentiality edit for small areas to provide greater protection for these areas. The editing process is implemented in such a way that the quality and usefulness of the data were preserved. ERRORS IN THE DATA Since statistics in this data product are based on a sample, they may differ somewhat from 100-percent figures that would have been obtained if all housing units, persons within those housing units, and persons living in group quarters had been enumerated using the same questionnaires, instructions, enumerators, etc. The sample estimate also would differ from other samples of housing units, persons within those housing units, and persons living in group quarters. The deviation of a sample estimate from the average of all possible samples is called the sampling error. The standard error of a sample estimate is a measure of the variation among the estimates from all the possible samples and thus is a measure of the precision with which an estimate from a particular sample approximates the average result of all possible samples. The sample estimate and its estimated standard error permit the construction of interval estimates with prescribed confidence that the interval includes the average result of all possible samples. Described below is the method of calculating standard errors and confidence intervals for the data in this product. In addition to the variability which arises from the sampling procedures, both sample data and 100-percent data are subject to nonsampling error. Nonsampling error may be introduced during any of the various complex operations used to collect and process census data. For example, operations such as editing, reviewing, or handling questionnaires may introduce error into the data. A detailed discussion of the sources of nonsampling error is given in the section on ‘‘Control of Nonsampling Error’’ in this appendix. Nonsampling error may affect the data in two ways. Errors that are introduced randomly will increase the variability of the data and should therefore be reflected in the standard error. Errors that tend to be consistent in one C–2 direction will make both sample and 100-percent data biased in that direction. For example, if respondents consistently tend to under-report their income, then the resulting counts of households or families by income category will tend to be understated for the higher income categories and overstated for the lower income categories. Such biases are not reflected in the standard error. Calculation of Standard Errors Totals and Percentages—Tables A through C in this appendix contain the information necessary to calculate the standard errors of sample estimates in this data product. To calculate the standard error, it is necessary to know the basic standard error for the characteristic (given in table A or B) that would result under a simple random sample design (of persons, households, or housing units) and estimation technique; the design factor for the particular characteristic estimated (given in table C); and the number of persons or housing units in the tabulation area and the percent of these in the sample. For machinereadable products, the percent-in-sample is included in a data matrix on the file for each tabulation area. In printed reports, the percent-in-sample is provided in data tables at the end of the statistical tables that compose the report. The design factors reflect the effects of the actual sample design and complex ratio estimation procedure used for the 1990 census. Tape purchasers will receive table C, the table of design factors, as a supplement to the technical documentation. Table C is included in this appendix for printed reports. The steps given below should be used to calculate the standard error of an estimate of a total or a percentage contained in this product. A percentage is defined here as a ratio of a numerator to a denominator where the numerator is a subset of the denominator. For example, the proportion of Black teachers is the ratio of Black teachers to all teachers. 1. Obtain the standard error from table A or B (or use the formula given below the table) for the estimated total or percentage, respectively. 2. Find the geographic area to which the estimate applies in the appropriate percent-in-sample table or appropriate matrix, and obtain the person or housing unit ‘‘percent-in-sample’’ figure for this area. Use the person ‘‘percent-in-sample’’ figure for person and family characteristics. Use the housing unit ‘‘percent-in-sample’’ figure for housing unit characteristics. 3. Use table C to obtain the design factor for the characteristic (for example, employment status, school enrollment) and the range that contains the percentin-sample with which you are working. Multiply the basic standard error by this factor. The unadjusted standard errors of zero estimates or of very small estimated totals or percentages will approach zero. This is also the case for very large percentages or ACCURACY OF THE DATA JOBNAME: No Job Name PAGE: 3 SESS: 84 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc estimated totals that are close to the size of the tabulation areas to which they correspond. Nevertheless, these estimated totals and percentages still are subject to sampling and nonsampling variability, and an estimated standard error of zero (or a very small standard error) is not appropriate. For estimated percentages that are less than 2 or greater than 98, use the basic standard errors in table B that appear in the ‘‘2 or 98’’ row. For an estimated total that is less than 50 or within 50 of the total size of the tabulation area, use a basic standard error of 16. An illustration of the use of the tables is given in the section entitled ‘‘Use of Tables to Compute Standard Errors.’’ denominator. For example, the ratio of teachers to students in public elementary schools. The standard error of the ratio between two sample estimates is estimated as follows: Sums and Differences—The standard errors estimated from these tables are not directly applicable to sums of and differences between two sample estimates. To estimate the standard error of a sum or difference, the tables are to be used somewhat differently in the following three situations: Medians—For the standard error of the median of a characteristic, it is necessary to examine the distribution from which the median is derived, as the size of the base and the distribution itself affect the standard error. An approximate method is given here. As the first step, compute one-half of the number on which the median is based (refer to this result as N/ 2). Treat N/ 2 as if it were an ordinary estimate and obtain its standard error as instructed above. Compute the desired confidence interval about N/ 2. Starting with the lowest value of the characteristic, cumulate the frequencies in each category of the characteristic until the sum equals or first exceeds the lower limit of the confidence interval about N/ 2. By linear interpolation, obtain a value of the characteristic corresponding to this sum. This is the lower limit of the confidence interval of the median. In a similar manner, continue cumulating frequencies until the sum equals or exceeds the count in excess of the upper limit of the interval about N/ 2. Interpolate as before to obtain the upper limit of the confidence interval for the estimated median. 1. For the sum of or difference between a sample estimate and a 100-percent value, use the standard error of the sample estimate. The complete count value is not subject to sampling error. 2. For the sum of or difference between two sample estimates, the appropriate standard error is approximately the square root of the sum of the two individual standard errors squared; that is, for standard errors: SEˆXand SEˆYof estimatesˆXand ˆY : SE$ˆX$ˆY$ = SE$ˆX$ˆY$ = √$SE ) $$SE ) ˆ 2 X ˆ 2 Y This method, however, will underestimate (overestimate) the standard error if the two items in a sum are highly positively (negatively) correlated or if the two items in a difference are highly negatively (positively) correlated. This method may also be used for the difference between (or sum of) sample estimates from two censuses or from a census sample and another survey. The standard error for estimates not based on the 1990 census sample must be obtained from an appropriate source outside of this appendix. 3. For the differences between two estimates, one of which is a subclass of the other, use the tables directly where the calculated difference is the estimate of interest. For example, to determine the estimate of non-Black teachers, one may subtract the estimate of Black teachers from the estimate of total teachers. To determine the standard error of the estimate of non-Black teachers apply the above formula directly. Ratios—Frequently, the statistic of interest is the ratio of two variables, where the numerator is not a subset of the ACCURACY OF THE DATA 1. If the ratio is a proportion, then follow the procedure outlined for ‘‘Totals and Percentages.’’ 2. If the ratio is not a proportion, then approximate the standard error using the formula below. ˆX$SEˆ$2 $SEˆ$2 X Y SE$ˆX$ˆY$ = $ ˆY ˆX ˆY 2 2 $ When interpolation is required in the upper open-ended interval of a distribution to obtain a confidence bound, use 1.5 times the lower limit of the open-ended confidence interval as the upper limit of the open-ended interval. Confidence Intervals A sample estimate and its estimated standard error may be used to construct confidence intervals about the estimate. These intervals are ranges that will contain the average value of the estimated characteristic that results over all possible samples, with a known probability. For example, if all possible samples that could result under the 1990 census sample design were independently selected and surveyed under the same conditions, and if the estimate and its estimated standard error were calculated for each of these samples, then: 1. Approximately 68 percent of the intervals from one estimated standard error below the estimate to one estimated standard error above the estimate would contain the average result from all possible samples; C–3 JOBNAME: No Job Name PAGE: 4 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc 2. Approximately 90 percent of the intervals from 1.645 times the estimated standard error below the estimate to 1.645 times the estimated standard error above the estimate would contain the average result from all possible samples. 3. Approximately 95 percent of the intervals from two estimated standard errors below the estimate to two estimated standard errors above the estimate would contain the average result from all possible samples. The intervals are referred to as 68 percent, 90 percent, and 95 percent confidence intervals, respectively. The average value of the estimated characteristic that could be derived from all possible samples is or is not contained in any particular computed interval. Thus, we cannot make the statement that the average value has a certain probability of falling between the limits of the calculated confidence interval. Rather, one can say with a specified probability of confidence that the calculated confidence interval includes the average estimate from all possible samples (approximately the 100-percent value). Confidence intervals also may be constructed for the ratio, sum of, or difference between two sample figures. This is done by first computing the ratio, sum, or difference, then obtaining the standard error of the ratio, sum, or difference (using the formulas given earlier), and finally forming a confidence interval for this estimated ratio, sum, or difference as above. One can then say with specified confidence that this interval includes the ratio, sum, or difference that would have been obtained by averaging the results from all possible samples. The estimated standard errors given in this appendix do not include all portions of the variability due to nonsampling error that may be present in the data. The standard errors reflect the effect of simple response variance, but not the effect of correlated errors introduced by enumerators, coders, or other field or processing personnel. Thus, the standard errors calculated represent a lower bound of the total error. As a result, confidence intervals formed using these estimated standard errors may not meet the stated levels of confidence (i.e., 68, 90, or 95 percent). Thus, some care must be exercised in the interpretation of the data in this data product based on the estimated standard errors. A standard sampling theory text should be helpful if the user needs more information about confidence intervals and nonsampling errors. Use of Tables to Compute Standard Errors The following is a hypothetical example of how to compute a standard error of a total and a percentage. Suppose a particular data table shows that for City A 9,948 persons out of all 15,888 persons age 16 years and over were in the civilian labor force. The percent-in-sample C–4 table lists City A with a percent-in-sample of 16.0 percent (Persons column). The column in table C which includes 16.0 percent-in-sample shows the design factor to be 1.1 for ‘‘Employment status.’’ The basic standard error for the estimated total 9,948 may be obtained from table A or from the formula given below table A. In order to avoid interpolation, the use of the formula will be demonstrated here. Suppose that the total population of City A was 21,220. The formula for the basic standard error, SE, is SE$9,948$ = √5$9,948$ $1$9,948$21,220$ = 163 persons. The standard error of the estimated 9,948 persons 16 years and over who were in the civilian labor force is found by multiplying the basic standard error 163 by the design factor, 1.1 from table C. This yields an estimated standard error of 179 for the total number of persons 16 years and over in City A who were in the civilian labor force. The estimated percent of persons 16 years and over who were in the civilian labor force in City A is 62.6. From table B, the unadjusted standard error is found to be approximately 0.85 percentage points. The standard error for the estimated 62.6 percent of persons 16 years and over who were in the civilian labor force is 0.85 x 1.1 = 0.94 percentage points. A note of caution concerning numerical values is necessary. Standard errors of percentages derived in this manner are approximate. Calculations can be expressed to several decimal places, but to do so would indicate more precision in the data than is justifiable. Final results should contain no more than two decimal places when the estimated standard error is one percentage point (i.e., 1.00) or more. In the previous example, the standard error of the 9,948 persons 16 years and over in City A who were in the civilian labor force was found to be 179. Thus, a 90 percent confidence interval for this estimated total is found to be: $9,948 $ 1.645$179$$ to $9,948 $ 1.645$179$$ or 9,654 to 10,242 One can say, with about 90 percent confidence, that this interval includes the value that would have been obtained by averaging the results from all possible samples. The following is an illustration of the calculation of standard errors and confidence intervals when a difference between two sample estimates is obtained. For example, suppose the number of persons in City B age 16 years and over who were in the civilian labor force was 9,314 and the total number of persons 16 years and over was 16,666. Further suppose the population of City B was 25,225. Thus, the estimated percentage of persons 16 years and over who were in the civilian labor force is 55.9 percent. The unadjusted standard error determined using the formula provided at the bottom of table B is 0.86 ACCURACY OF THE DATA JOBNAME: No Job Name PAGE: 5 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc percentage points. We find that City B had a percent-insample of 15.7. The range which includes 15.7 percent-insample in table C shows the design factor to be 1.1 for ‘‘Employment Status.’’ Thus, the approximate standard error of the percentage (55.9 percent) is 0.86 x 1.1 = 0.95 percentage points. Now suppose that one wished to obtain the standard error of the difference between City A and City B of the percentages of persons who were 16 years and over and who were in the civilian labor force. The difference in the percentages of interest for the two cities is: 62.6 - 55.9 = 6.7 percent. Using the results of the previous example: SE$6.7$ = √$SE$62.6$$2$$SE$55.9$$2= √$0.94$2$$0.95$2 = 1.34 percentage points The 90 percent confidence interval for the difference is formed as before: $6.70 $ 1.645$1.34$$ to $6.70 $ 1.645$1.34$$ or 4.50 to 8.90 One can say with 90 percent confidence that the interval includes the difference that would have been obtained by averaging the results from all possible samples. For reasonably large samples, ratio estimates are normally distributed, particularly for the census population. Therefore, if we can calculate the standard error of a ratio estimate then we can form a confidence interval around the ratio. Suppose that one wished to obtain the standard error of the ratio of the estimate of persons who were 16 years and over and who were in the civilian labor force in City A to the estimate of persons who were 16 years and over and who were in the civilian labor force in City B. The ratio of the two estimates of interest is: 9948/ 9314 = 1.07 SE $1.07$ = $ 9948 9314 $$ 1792 $9948$2 1882 $ $9314$2 any given tabulation area, a characteristic total was estimated by summing the weights assigned to the persons or housing units possessing the characteristic in the tabulation area. Estimates of family or household characteristics were based on the weight assigned to the family member designated as householder. Each sample person or housing unit record was assigned exactly one weight to be used to produce estimates of all characteristics. For example, if the weight given to a sample person or housing unit had the value 6, all characteristics of that person or housing unit would be tabulated with the weight of 6. The estimation procedure, however, did assign weights varying from person to person or housing unit to housing unit. The estimation procedure used to assign the weights was performed in geographically defined ‘‘weighting areas.’’ Weighting areas generally were formed of contiguous geographic units which agreed closely with census tabulation areas within counties. Weighting areas were required to have a minimum sample of 400 persons. Weighting areas never crossed State or county boundaries. In small counties with a sample count below 400 persons, the minimum required sample condition was relaxed to permit the entire county to become a weighting area. Within a weighting area, the ratio estimation procedure for persons was performed in four stages. For persons, the first stage applied 17 household-type groups. The second stage used two groups: sampling rate of 1-in-2; sampling rate less than 1-in-2. The third stage used the dichotomy householders/ nonhouseholders. The fourth stage applied 180 aggregate age-sex-race-Hispanic origin categories. The stages were as follows: PERSONS STAGE I: TYPE OF HOUSEHOLD Group 1 2 3 4 5 Persons in Housing Units With a Family Without Own Children Under 18 = .029 Using the results above, the 90 percent confidence interval for this ratio would be: 6-10 $1.07$1.645$.029$$ to $1.07$1.645$.029$$ or 1.02 to 1.12 ESTIMATION PROCEDURE The estimates which appear in this publication were obtained from an iterative ratio estimation procedure (iterative proportional fitting) resulting in the assignment of a weight to each sample person or housing unit record. For ACCURACY OF THE DATA Persons in Housing Units With a Family With Own Children Under 18 2 persons in housing unit 3 persons in housing unit 4 persons in housing unit 5 to 7 persons in housing unit 8 or more persons in housing unit 11 12-16 17 2 through 8 or more persons in housing unit Persons in All Other Housing Units 1 person in housing unit 2 through 8 or more persons in housing unit Persons in Group Quarters Persons in Group Quarters STAGE II: SAMPLING RATES 1 2 Sampling rate of 1-in-2 Sampling rate less than 1-in-2 C–5 JOBNAME: No Job Name PAGE: 6 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc STAGE III: HOUSEHOLDER/ NONHOUSEHOLDER 1 2 Householder Nonhouseholder STAGE IV: AGE/ SEX/ RACE/ HISPANIC ORIGIN Group 1 2 3 4 5 6 7 8 9 10-18 19-36 37-72 White Persons of Hispanic Origin Male 0 to 4 years 5 to 14 years 15 to 19 years 20 to 24 years 25 to 34 years 35 to 54 years 55 to 64 years 65 to 74 years 75 years and over Female Same age categories as groups 1 through 9. Persons Not of Hispanic Origin Same sex and age categories as groups 1 through 18. Black Same age/ sex/ Hispanic origin categories as groups 1 through 36. 73-108 Asian or Pacific Islander Same age/ sex/ Hispanic origin categories as groups 1 through 36. 109-144 American Indian, Eskimo, or Aleut Same age/ sex/ Hispanic origin categories as groups 1 through 36. 145-180 Other Race (includes those races not listed above) Same age/ sex/ Hispanic origin categories as groups 1 through 36. Within a weighting area, the first step in the estimation procedure was to assign an initial weight to each sample person record. This weight was approximately equal to the inverse of the probability of selecting a person for the census sample. The next step in the estimation procedure, prior to iterative proportional fitting, was to combine categories in each of the four estimation stages, when needed to increase the reliability of the ratio estimation procedure. For each stage, any group that did not meet certain criteria for the unweighted sample count or for the ratio of the 100-percent to the initially weighted sample count, was combined, or collapsed, with another group in the same stage according to a specified collapsing pattern. At the fourth stage, an additional criterion concerning the number of complete count persons in each race/ Hispanic origin category was applied. C–6 As the final step, the initial weights underwent four stages of ratio adjustment applying the grouping procedures described above. At the first stage, the ratio of the complete census count to the sum of the initial weights for each sample person was computed for each stage I group. The initial weight assigned to each person in a group was then multiplied by the stage I group ratio to produce an adjusted weight. In stage II, the stage I adjusted weights were again adjusted by the ratio of the complete census count to the sum of the stage I weights for sample persons in each stage II group. Next, at stage III, the stage II weights were adjusted by the ratio of the complete census count to the sum of the stage II weights for sample persons in each stage III group. Finally, at stage IV, the stage III weights were adjusted by the ratio of the complete census count to the sum of the stage III weights for sample persons in each stage IV group. The four stages of ratio adjustment were performed two times (two iterations) in the order given above. The weights obtained from the second iteration for stage IV were assigned to the sample person records. However, to avoid complications in rounding for tabulated data, only whole number weights were assigned. For example, if the final weight of the persons in a particular group was 7.25 then 1/ 4 of the sample persons in this group were randomly assigned a weight of 8, while the remaining 3/ 4 received a weight of 7. The ratio estimation procedure for housing units was essentially the same as that for persons, except that vacant units were treated differently. The occupied housing unit ratio estimation procedure was done in four stages, and the vacant housing unit ratio estimation procedure was done in a single stage. The first stage for occupied housing units applied 16 household type categories, while the second stage used the two sampling categories described above for persons. The third stage applied three units-instructure categories; i.e. single units, multi-unit less than 10 and multi-unit 10 or more. The fourth stage could potentially use 200 tenure-race-Hispanic origin-value/ rent groups. The stages for ratio estimation for housing units were as follows: OCCUPIED HOUSING UNITS STAGE I: TYPE OF HOUSEHOLD Group 1 2 3 4 5 Housing Units With a Family With Own Children Under 18 2 persons in housing unit 3 persons in housing unit 4 persons in housing unit 5 to 7 persons in housing unit 8 or more persons in housing unit Housing Units With a Family Without Own Children Under 18 6-10 2 through 8 or more persons in housing unit ACCURACY OF THE DATA JOBNAME: No Job Name PAGE: 7 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc STAGE I: TYPE OF HOUSEHOLD—Con. 11 12-16 All Other Housing Units 1 person in housing unit 2 through 8 or more persons in housing unit STAGE II: SAMPLING RATE CATEGORY 1 2 Sampling rate of 1-in-2 Sampling rate less than 1-in-2 STAGE III: UNITS IN STRUCTURE 1 2 3 Single unit structure Multi-unit structure consisting of fewer than 10 individual units Multi-unit structure consisting of 10 or more individual units STAGE IV: TENURE/ RACE AND HISPANIC ORIGIN OF HOUSEHOLDER/ VALUE OR RENT Group 1 2 3 4 5 6 7 8 9 10 11-20 Owner White Householder Householder of Hispanic Origin Value Less than $20,000 $20,000 to $39,999 $40,000 to $59,999 $60,000 to $79,999 $80,000 to $99,999 $100,000 to $149,999 $150,000 to $249,999 $250,000 to $299,999 $300,000 or more Other1 Householder Not of Hispanic Origin Same value categories as groups 1 through 10 21-40 Black Householder Same Hispanic origin/ value categories as groups 1 through 20 41-60 Asian or Pacific Islander Householder Same Hispanic origin/ value categories as groups 1 through 20 61-80 81-100 American Indian, Eskimo, or Aleut Householder Same Hispanic origin/ value categories as groups 1 through 20 Householder of Other Race Same Hispanic origin/ value categories as groups 1 through 20 1 Value of units in this category results from other factors besides housing value alone, for example, inclusion of more than 10 acres of land, or presence of a business establishment on the premises. ACCURACY OF THE DATA 101 102 103 104 105 106 107 108 109 110 111-120 Renter White Householder Householder of Hispanic origin Rent Less than $100 $100 to $199 $200 to $299 $300 to $399 $400 to $499 $500 to $599 $600 to $749 $750 to $999 $1,000 or more No cash rent Householder Not of Hispanic Origin Same rent categories as groups 101 through 110 121-140 Black Householder Same Hispanic origin/ rent categories as groups 101 through 120 141-160 Asian or Pacific Islander Householder Same Hispanic origin/ rent categories as groups 101 through 120 161-180 American Indian, Eskimo, or Aleut Householder Same Hispanic origin/ rent categories as groups 101 through 120 181-200 Householder of Other Race Same Hispanic origin/ rent categories as groups 101 through 120 Vacant Housing Units 1 2 3 Vacant for rent Vacant for sale Other vacant The estimates produced by this procedure realize some of the gains in sampling efficiency that would have resulted if the population had been stratified into the ratio estimation groups before sampling, and if the sampling rate had been applied independently to each group. The net effect is a reduction in both the standard error and the possible bias of most estimated characteristics to levels below what would have resulted from simply using the initial, unadjusted weight. A by-product of this estimation procedure is that the estimates from the sample will, for the most part, be consistent with the complete count figures for the population and housing unit groups used in the estimation procedure. C–7 JOBNAME: No Job Name PAGE: 8 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc Control of Nonsampling Error As mentioned earlier, both sample and 100-percent data are subject to nonsampling error. This component of error could introduce serious bias into the data, and the total error could increase dramatically over that which would result purely from sampling. While it is impossible to completely eliminate nonsampling error from an operation as large and complex as the decennial census, the Bureau of the Census attempted to control the sources of such error during the collection and processing operations. Described below are the primary sources of nonsampling error and the programs instituted for control of this error. The success of these programs, however, was contingent upon how well the instructions actually were carried out during the census. As part of the 1990 census evaluation program, both the effects of these programs and the amount of error remaining after their application will be evaluated. Undercoverage—It is possible for some households or persons to be missed entirely by the census. The undercoverage of persons and housing units can introduce biases into the data. Several coverage improvement programs were implemented during the development of the census address list and census enumeration and processing to minimize undercoverage of the population and housing units. These programs were developed based on experience from the 1980 census and results from the 1990 census testing cycle. In developing and updating the census address list, the Census Bureau used a variety of specialized procedures in different parts of the country. • In the large urban areas, the Census Bureau purchased and geocoded address lists. Concurrent with geocoding, the United States Postal Service (USPS) reviewed and updated this list. After the postal check, census enumerators conducted a dependent canvass and update operation. In the fall of 1989, local officials were given the opportunity to examine block counts of address listings (local review) and identify possible errors. Prior to mailout, the USPS conducted a final review. • In small cities, suburban areas, and selected rural parts of the country, the Census Bureau created the address list through a listing operation. The USPS reviewed and updated this list, and the Census Bureau reconciled USPS corrections and updated through a field operation. In the fall of 1989, local officials participated in reviewing block counts of address listings. Prior to mailout, the USPS conducted a final review. • The Census Bureau (rather than the USPS) conducted a listing operation in the fall of 1989 and delivered census questionnaires in selected rural and seasonal housing areas in March of 1990. In some inner-city public housing developments, whose addresses had been obtained via the purchased address list noted above, census questionnaires were also delivered by Census Bureau enumerators. C–8 Coverage improvement programs continued during and after mailout. A recheck of units initially classified as vacant or nonexistent improved further the coverage of persons and housing units. All local officials were given the opportunity to participate in a post-census local review, and census enumerators conducted an additional recanvass. In addition, efforts were made to improve the coverage of unique population groups, such as the homeless and parolees/ probationers. Computer and clerical edits and telephone and personal visit followup also contributed to improved coverage. More extensive discussion of the programs implemented to improve coverage will be published by the Census Bureau when the evaluation of the coverage improvement program is completed. Respondent and Enumerator Error—The person answering the questionnaire or responding to the questions posed by an enumerator could serve as a source of error, although the questions were phrased as clearly as possible based on precensus tests, and detailed instructions for completing the questionnaire were provided to each household. In addition, respondents’ answers were edited for completeness and consistency, and problems were followed up as necessary. The enumerator may misinterpret or otherwise incorrectly record information given by a respondent; may fail to collect some of the information for a person or household; or may collect data for households that were not designated as part of the sample. To control these problems, the work of enumerators was monitored carefully. Field staff were prepared for their tasks by using standardized training packages that included hands-on experience in using census materials. A sample of the households interviewed by enumerators for nonresponse were reinterviewed to control for the possibility of data for fabricated persons being submitted by enumerators. Also, the estimation procedure was designed to control for biases that would result from the collection of data from households not designated for the sample. Processing Error—The many phases involved in processing the census data represent potential sources for the introduction of nonsampling error. The processing of the census questionnaires includes the field editing, followup, and transmittal of completed questionnaires; the manual coding of write-in responses; and the electronic data processing. The various field, coding and computer operations undergo a number of quality control checks to insure their accurate application. Nonresponse—Nonresponse to particular questions on the census questionnaire allows for the introduction of bias into the data, since the characteristics of the nonrespondents have not been observed and may differ from those reported by respondents. As a result, any imputation procedure using respondent data may not completely ACCURACY OF THE DATA JOBNAME: No Job Name PAGE: 9 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc reflect this difference either at the elemental level (individual person or housing unit) or on the average. Some protection against the introduction of large biases is afforded by minimizing nonresponse. In the census, nonresponse was reduced substantially during the field operations by the various edit and followup operations aimed at obtaining a response for every question. Characteristics for the nonresponses remaining after this operation were imputed by the computer by using reported data for a person or housing unit with similar characteristics. EDITING OF UNACCEPTABLE DATA The objective of the processing operation is to produce a set of data that describes the population as accurately and clearly as possible. To meet this objective, questionnaires were edited during field data collection operations for consistency, completeness, and acceptability. Questionnaires also were reviewed by census clerks for omissions, certain specific inconsistencies, and population coverage. For example, write-in entries such as ‘‘Don’t know’’ or ‘‘NA’’ were considered unacceptable. For some district offices, the initial edit was automated; however, for the majority of the district offices, it was performed by clerks. As a result of this operation, a telephone or personal visit followup was made to obtain missing information. Potential coverage errors were included in the followup, as well as a sample of questionnaires with omissions and/ or inconsistencies. Subsequent to field operations, remaining incomplete or inconsistent information on the questionnaires was assigned ACCURACY OF THE DATA using imputation procedures during the final automated edit of the collected data. Imputations, or computer assignments of acceptable codes in place of unacceptable entries or blanks, are needed most often when an entry for a given item is lacking or when the information reported for a person or housing unit on that item is inconsistent with other information for that same person or housing unit. As in previous censuses, the general procedure for changing unacceptable entries was to assign an entry for a person or housing unit that was consistent with entries for persons or housing units with similar characteristics. The assignment of acceptable codes in place of blanks or unacceptable entries enhances the usefulness of the data. Another way in which corrections were made during the computer editing process was through substitution; that is, the assignment of a full set of characteristics for a person or housing unit. When there was an indication that a housing unit was occupied but the questionnaire contained no information for the people within the household or the occupants were not listed on the questionnaire, a previously accepted household was selected as a substitute, and the full set of characteristics for the substitute was duplicated. The assignment of the full set of housing characteristics occurred when there was no housing information available. If the housing unit was determined to be occupied, the housing characteristics were assigned from a previously processed occupied unit. If the housing unit was vacant, the housing characteristics were assigned from a previously processed vacant unit. C–9 JOBNAME: No Job Name PAGE: 10 SESS: 82 OUTPUT: Wed Sep 2 15:09:47 1992 / node2/ F main F / 90dec/ sample/ usst/ appc Table A. Unadjusted Standard Error for Estimated Totals [Based on a 1-in-6 simple random sample] Size of publication area2 Estimated Total1 50 . . . . . . . . . . . . 100 . . . . . . . . . . . 250 . . . . . . . . . . . 500 . . . . . . . . . . . 1,000 . . . . . . . . . . 2,500 . . . . . . . . . . 5,000 . . . . . . . . . . 10,000 . . . . . . . . . 15,000 . . . . . . . . . 25,000 . . . . . . . . . 75,000 . . . . . . . . . 100,000 . . . . . . . . 250,000 . . . . . . . . 500,000 . . . . . . . . 1,000,000. . . . . . . 5,000,000. . . . . . . 10,000,000. . . . . . 500 1,000 2,500 5,000 10,000 25,000 50,000 100,000 250,000 500,000 1,000,000 5,000,000 10,000,000 25,000,000 16 20 25 - 16 21 30 35 - 16 22 35 45 55 - 16 22 35 45 65 80 - 16 22 35 50 65 95 110 - 16 22 35 50 70 110 140 170 170 - 16 22 35 50 70 110 150 200 230 250 - 16 22 35 50 70 110 150 210 250 310 310 - 16 22 35 50 70 110 160 220 270 340 510 550 - 16 22 35 50 70 110 160 220 270 350 570 630 790 - 16 22 35 50 70 110 160 220 270 350 590 670 970 1 120 - 16 22 35 50 70 110 160 220 270 350 610 700 1 090 1 500 2 000 - 16 22 35 50 70 110 160 220 270 350 610 700 100 540 120 540 - 16 22 35 50 70 110 160 220 270 350 610 710 100 570 190 470 480 1 1 2 3 1 1 2 4 5 1 For estimated totals larger than 10,000,000, the standard error is somewhat larger than the table values. The formula given below should be used to calculate the standard error. ˆ $5ˆY$1 $ Y$ SE$ˆY$ = N N = ˆY = Size of area Estimate of characteristic total 2 The total count of persons in the area if the estimated total is a person characteristic, or the total count of housing units in the area if the estimated total is a housing unit characteristic. Table B. Unadjusted Standard Error in Percentage Points for Estimated Percentage [Based on a 1-in-6 simple random sample] Base of percentage1 Estimated Percentage 2 or 98 . . . . . . . . . . . . . . . . . 5 or 95 . . . . . . . . . . . . . . . . . 10 or 90. . . . . . . . . . . . . . . . . 15 or 85. . . . . . . . . . . . . . . . . 20 or 80. . . . . . . . . . . . . . . . . 25 or 75. . . . . . . . . . . . . . . . . 30 or 70. . . . . . . . . . . . . . . . . 35 or 65. . . . . . . . . . . . . . . . . 50 . . . . . . . . . . . . . . . . . . . . . 500 750 1,000 1,500 2,500 5,000 7,500 10,000 25,000 50,000 100,000 250,000 500,000 1.4 2.2 3.0 3.6 4.0 4.3 4.6 4.8 5.0 1.1 1.8 2.4 2.9 3.3 3.5 3.7 3.9 4.1 1.0 1.5 2.1 2.5 2.8 3.1 3.2 3.4 3.5 0.8 1.3 1.7 2.1 2.3 2.5 2.6 2.8 2.9 0.6 1.0 1.3 1.6 1.8 1.9 2.0 2.1 2.2 0.4 0.7 0.9 1.1 1.3 1.4 1.4 1.5 1.6 0.4 0.6 0.8 0.9 1.0 1.1 1.2 1.2 1.3 0.3 0.5 0.7 0.8 0.9 1.0 1.0 1.1 1.1 0.2 0.3 0.4 0.5 0.6 0.6 0.6 0.7 0.7 0.1 0.2 0.3 0.4 0.4 0.4 0.5 0.5 0.5 0.1 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.4 0.1 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2 1 For a percentage and/ or base of percentage not shown in the table, the formula given below may be used to calculate the standard error. This table should only be used for proportions, that is, where the numerator is a subset of the denominator. SE$ˆp$= B = ˆp = C–10 $ 5 B ˆp$100$ˆp$ Base of estimated percentage Estimated percentage ACCURACY OF THE DATA JOBNAME: No Job Name PAGE: 1 SESS: 2 OUTPUT: Wed Sep 2 15:13:18 1992 / node2/ F main F / 90dec/ cp2/ 1/ appctblc Table C. Standard Error Design Factors—United States [Percent of persons or housing units in sample] Less than 15 percent 15 to 30 percent 30 to 45 percent 45 percent or more Age. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hispanic origin (of any race) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marital status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.2 1.2 1.2 1.2 1.0 1.0 1.0 1.0 0.9 0.6 0.6 0.6 0.6 0.5 0.5 0.5 0.5 0.5 0.4 Household type and relationship . . . . . . . . . . . . . . . . . . . . . . . . . . . . Children ever born . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Work disability and mobility limitation status . . . . . . . . . . . . . . . . . . Ancestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Place of birth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 2.6 1.2 2.1 2.2 1.1 2.3 1.0 1.7 2.1 0.6 1.5 0.6 1.0 1.2 0.5 1.2 0.5 0.8 1.1 Citizenship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Residence in 1985 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Year of entry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Language spoken at home and ability to speak English. . . . . . . . Educational attainment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.8 2.1 1.5 1.7 1.3 1.5 1.9 1.2 1.4 1.1 0.9 1.1 0.6 0.8 0.6 0.7 0.9 0.5 0.7 0.5 School enrollment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Type of residence (urban/ rural) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Household type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Family type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Group quarters. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.8 2.2 1.3 1.2 1.0 1.5 2.2 1.1 1.0 0.9 0.9 1.4 0.6 0.6 0.8 0.7 1.1 0.5 0.5 0.8 Subfamily type and presence of children . . . . . . . . . . . . . . . . . . . . . Employment status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Occupation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Class of worker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.2 1.3 1.2 1.5 1.0 1.0 1.1 1.0 1.2 0.5 0.6 0.6 0.6 0.7 0.5 0.5 0.5 0.5 0.6 Hours per week and weeks worked in 1989 . . . . . . . . . . . . . . . . . . Number of workers in family . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Place of work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Means of transportation to work . . . . . . . . . . . . . . . . . . . . . . . . . . . . Travel time to work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.3 1.5 1.5 1.3 1.0 1.1 1.2 1.2 1.1 0.6 0.6 0.7 0.7 0.6 0.5 0.5 0.6 0.6 0.5 Private vehicle occupancy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Time leaving home to go to work . . . . . . . . . . . . . . . . . . . . . . . . . . . Type of income in 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Household income in 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Family income in 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 1.3 1.4 1.2 1.2 1.2 1.1 1.2 1.0 1.0 0.7 0.6 0.6 0.5 0.6 0.6 0.5 0.5 0.5 0.5 Poverty status in 1989 (persons) . . . . . . . . . . . . . . . . . . . . . . . . . . . . Poverty status in 1989 (families) . . . . . . . . . . . . . . . . . . . . . . . . . . . . Armed Forces and veteran status . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.6 1.2 1.5 1.4 1.0 1.2 0.8 0.5 0.7 0.7 0.5 0.5 Characteristic POPULATION ACCURACY OF THE DATA C–11 JOBNAME: No Job Name PAGE: 1 SESS: 27 OUTPUT: Wed Sep 2 15:09:26 1992 / node2/ F main F / 90dec/ all/ usst/ appd APPENDIX D. Collection and Processing Procedures Data Collection Procedures - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - D–2 Enumeration and Residence Rules - - - - - - - - - - - - - - - - - - - - - - - - - D–1 Processing Procedures - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - D–4 and private businesses and students, were not enumerated, nor were their counts obtained from administrative sources. On the other hand, Americans temporarily overseas were to be enumerated at their usual residence in the United States. ENUMERATION AND RESIDENCE RULES Residence Rules In accordance with census practice dating back to the first United States census in 1790, each person was to be enumerated as an inhabitant of his or her ‘‘usual residence’’ in the 1990 census. Usual residence is the place where the person lives and sleeps most of the time or considers to be his or her usual residence. This place is not necessarily the same as the person’s legal residence or voting residence. In the vast majority of cases, however, the use of these different bases of classification would produce substantially the same statistics, although there might be appreciable differences for a few areas. Each person included in the census was to be counted at his or her usual residence—the place where he or she lives and sleeps most of the time or the place where the person considers to be his or her usual home. If a person had no usual residence, the person was to be counted where he or she was staying on April 1, 1990. Persons temporarily away from their usual residence, whether in the United States or overseas, on a vacation or on a business trip, were counted at their usual residence. Persons who occupied more than one residence during the year were counted at the one they considered to be their usual residence. Persons who moved on or near Census Day were counted at the place they considered to be their usual residence. CONTENTS The implementation of this practice has resulted in the establishment of rules for certain categories of persons whose usual place of residence is not immediately apparent. Furthermore, this practice means that persons were not always counted as residents of the place where they happened to be staying on Census Day (April 1, 1990). Enumeration Rules Each person whose usual residence was in the United States was to be included in the census, without regard to the person’s legal status or citizenship. In a departure from earlier censuses, foreign diplomatic personnel participated voluntarily in the census, regardless of their residence on or off the premises of an embassy. As in previous censuses, persons in the United States specifically excluded from the census were foreign travelers who had not established a residence. Americans with a usual residence outside the United States were not enumerated in the 1990 census. United States military and Federal civilian employees, and their dependents overseas, are included in the population counts for States for purposes of Congressional apportionment, but are excluded from all other tabulations for States and their subdivisions. The counts of United States military and Federal civilian employees, and their dependents, were obtained from administrative records maintained by Federal departments and agencies. Other Americans living overseas, such as employees of international agencies COLLECTION AND PROCESSING PROCEDURES Persons in the Armed Forces—Members of the Armed Forces were counted as residents of the area in which the installation was located, either on the installation or in the surrounding community. Family members of Armed Forces personnel were counted where they were living on Census Day (for example, with the Armed Forces person or at another location). Each Navy ship not deployed to the 6th or 7th Fleet was attributed to the municipality that the Department of the Navy designated as its homeport. If the homeport included more than one municipality, ships berthed there on Census Day were assigned by the Bureau of the Census to the municipality in which the land immediately adjacent to the dock or pier was actually located. Ships attributed to the homeport, but not physically present and not deployed to the 6th or 7th Fleet, were assigned to the municipality named on the Department of the Navy’s homeport list. These rules also apply to Coast Guard vessels. Personnel assigned to each Navy and Coast Guard ship were given the opportunity to report a residence off the ship. Those who did report an off-ship residence in the communities surrounding the homeport were counted there; those who did not were counted as residents of the ship. Personnel on Navy ships deployed to the 6th or 7th Fleet on Census Day were considered to be part of the overseas population. D–1 JOBNAME: No Job Name PAGE: 2 SESS: 29 OUTPUT: Wed Sep 2 15:09:26 1992 / node2/ F main F / 90dec/ all/ usst/ appd Persons on Maritime Ships—Persons aboard maritime ships who reported an off-ship residence were counted at that residence. Those who did not were counted as residents of the ship, and were attributed as follows: 1. The port where the ship was docked on Census Day, if that port was in the United States or its territories. 2. The port of departure if the ship was at sea, provided the port was in the United States or its territories. 3. The port of destination in the United States or its territories, if the port of departure of a ship at sea was a foreign port. 4. The overseas population if the ship was docked at a foreign port or at sea between foreign ports. (These persons were not included in the overseas population for apportionment purposes.) Persons Away at School—College students were counted as residents of the area in which they were living while attending college, as they have been since the 1950 census. Children in boarding schools below the college level were counted at their parental home. Persons in Institutions—Persons under formally authorized, supervised care or custody, such as in Federal or State prisons; local jails; Federal detention centers; juvenile institutions; nursing, convalescent, and rest homes for the aged and dependent; or homes, schools, hospitals, or wards for the physically handicapped, mentally retarded, or mentally ill, were counted at these places. Persons Away From Their Usual Residence on Census Day—Migrant agricultural workers who did not report a usual residence elsewhere were counted as residents of the place where they were on Census Day. Persons in worker camps who did not report a usual residence elsewhere were counted as residents of the camp where they were on Census Day. In some parts of the country, natural disasters displaced significant numbers of households from their usual place of residence. If these persons reported a destroyed or damaged residence as their usual residence, they were counted at that location. Persons away from their usual residence were counted by means of interviews with other members of their families, resident managers, or neighbors. DATA COLLECTION PROCEDURES The 1990 census was conducted primarily through self-enumeration. The questionnaire packet included general information about the 1990 census and an instruction guide explaining how to complete the questionnaire. Spanishlanguage questionnaires and instruction guides were available on request. Instruction guides also were available in 32 other languages. D–2 Enumeration of Housing Units Each housing unit in the country received one of two versions of the census questionnaire: 1. A short-form questionnaire that contained a limited number of basic population and housing questions; these questions were asked of all persons and housing units and are often referred to as 100-percent questions. 2. A long-form questionnaire that contained the 100percent items and a number of additional questions; a sampling procedure was used to determine those housing units that were to receive the long-form questionnaire. Three sampling rates were employed. For slightly more than one-half of the country, one in every six housing units (about 17 percent) received the long-form or sample questionnaire. In functioning local governmental units (counties and incorporated places, and in some parts of the country, towns and townships) estimated to have fewer than 2,500 inhabitants, every other housing unit (50 percent) received the sample questionnaire in order to enhance the reliability of the sample data for these small areas. For census tracts and block numbering areas having more than 2,000 housing units in the Census Bureau’s address files, one in every eight housing units (about 13 percent) received a sample questionnaire, providing reliable statistics for these areas while permitting the Census Bureau to stay within a limit of 17.7 million sample questionnaires, or a one-in-six sample, nationwide. The mail-out/ mail-back procedure was used mainly in cities, suburban areas, towns, and rural areas where mailing addresses consisted of a house number and street name. In these areas, the Census Bureau developed mailing lists that included about 88.4 million addresses. The questionnaires were delivered through the mail and respondents were to return them by mail. Census questionnaires were delivered 1 week before Census Day (April 1, 1990) The update/ leave/ mail-back method was used mainly in densely populated rural areas where it was difficult to develop mailing lists because mailing addresses did not use house number and street name. The Census Bureau compiled lists of housing units in advance of the census. Enumerators delivered the questionnaires, asked respondents to return them by mail, and added housing units not on the mailing lists. This method was used mainly in the South and Midwest, and also included some high-rise, low-income urban areas. A variation of this method was used in urban areas having large numbers of boarded-up buildings. About 11 million housing units were enumerated using this method. The list/ enumerate method (formerly called conventional or door-to-door enumeration) was used mainly in very remote and sparsely-settled areas. The United States COLLECTION AND PROCESSING PROCEDURES JOBNAME: No Job Name PAGE: 3 SESS: 25 OUTPUT: Wed Sep 2 15:09:26 1992 / node2/ F main F / 90dec/ all/ usst/ appd Postal Service delivered unaddressed short-form questionnaires before Census Day. Starting a week before Census Day, enumerators canvassed these areas, checked that all housing units received a questionnaire, created a list of all housing units, completed long-form questionnaires, and picked up the completed short-form questionnaires. This method was used mainly in the West and Northeast to enumerate an estimated 6.5 million housing units. Followup Nonresponse Followup—In areas where respondents were to mail back their questionnaires, an enumerator visited each address from which a questionnaire was not received. Coverage and Edit-Failure Followup—In the mail-back areas, some households returned a questionnaire that did not meet specific quality standards because of incomplete or inconsistent information, or the respondent had indicated difficulty in deciding who was to be listed on the questionnaire. These households were contacted by telephone or by personal visit to obtain the missing information or to clarify who was to be enumerated in the household. In areas where an enumerator picked up the questionnaires, the enumerator checked the respondent-filled questionnaire for completeness and consistency. Special Enumeration Procedures Special procedures and questionnaires were used for the enumeration of persons in group quarters, such as college dormitories, nursing homes, prisons, military barracks, and ships. The questionnaires (Individual Census Reports, Military Census Reports, and Shipboard Census Reports) included the 100-percent population questions but did not include any housing questions. In all group quarters, all persons were asked the basic population questions; in most group quarters, additional questions were asked of a sample (one-in-six) of persons. Shelter and Street Night (S-Night) The Census Bureau collected data for various components of the homeless population at different stages in the 1990 census. ‘‘Shelter and Street Night’’ (S-Night) was a special census operation to count the population in four types of locations where homeless people are found. On the evening of March 20, 1990, and during the early morning hours of March 21, 1990, enumerators counted persons in pre-identified locations: 1. Emergency shelters for the homeless population (public and private; permanent and temporary). 4. Open locations in streets or other places not intended for habitation. Emergency shelters include all hotels and motels costing $12 or less (excluding taxes) per night regardless of whether persons living there considered themselves to be homeless, hotels and motels (regardless of cost) used entirely to shelter homeless persons, and pre-identified rooms in hotels and motels used for homeless persons and families. Enumeration in shelters usually occurred from 6 p.m. to midnight; street enumeration, from 2 a.m. to 4 a.m.; abandoned and boarded-up buildings from 4 a.m. to 8 a.m.; and shelters for abused women, from 6 p.m. on March 20 to noon on March 21. Other components, which some consider as part of the homeless population, were enumerated as part of regular census operations. These include persons doubled up with other families, as well as persons with no other usual home living in transient sites, such as commercial campgrounds, maternity homes for unwed mothers, and drug/ alcohol abuse detoxification centers. In institutions, such as local jails and mental hospitals, the Census Bureau does not know who has a usual home elsewhere; therefore, even though some are literally homeless, these persons cannot be identified separately as a component of the homeless population. There is no generally agreed-upon definition of ‘‘the homeless,’’ and there are limitations in the census count that prevent obtaining a total count of the homeless population under any definition. As such, the Census Bureau does not have a definition and will not provide a total count of ‘‘the homeless.’’ Rather, the Census Bureau will provide counts and characteristics of persons found at the time of the census in selected types of living arrangements. These selected components can be used as building blocks to construct a count of homeless persons appropriate to particular purposes as long as the data limitations are taken into account. In preparation for ‘‘Shelter-and-Street-Night’’ enumeration, the regional census centers (RCC’s) mailed a certified letter (Form D-33 (L)) to the highest elected official of each active functioning government of the United States (more than 39,000) requesting them to identify: 1. All shelters with sleeping facilities (permanent and temporary, such as church basements, armories, public buildings, and so forth, that could be open on March 20). 2. Hotels and motels used to house homeless persons and families. 3. A list of outdoor locations where homeless persons tend to be at night. 3. Shelters for abused women and their children. 4. Places such as bus or train stations, subway stations, airports, hospital emergency rooms, and so forth, where homeless persons seek shelter at night. COLLECTION AND PROCESSING PROCEDURES D–3 2. Shelters with temporary lodging for runaway youths. JOBNAME: No Job Name PAGE: 4 SESS: 25 OUTPUT: Wed Sep 2 15:09:26 1992 / node2/ F main F / 90dec/ all/ usst/ appd 5. The specific addresses of abandoned or boarded-up buildings where homeless persons were thought to stay at night. The letter from the RCC’s to the governmental units emphasized the importance of listing night-time congregating sites. The list of shelters was expanded using information from administrative records and informed local sources. The street sites were limited to the list provided by the jurisdictions. All governmental units were eligible for ‘‘Shelter and Street Night.’’ For cities with 50,000 or more persons, the Census Bureau took additional steps to update the list of shelter and street locations if the local jurisdiction did not respond to the certified letter. Smaller cities and rural areas participated if the local jurisdiction provided the Census Bureau a list of shelters or open public places to visit or if shelters were identified through our inventory development, local knowledge update, or during the Special Place Prelist operation. The Census Bureau encouraged persons familiar with homeless persons and the homeless themselves to apply as enumerators. This recruiting effort was particularly successful in larger cities. For shelters, both long- and short-form Individual Census Reports (ICR’s) were distributed. For street enumeration, only short-form ICR’s were used. Persons in shelters and at street locations were asked the basic population questions. Additional questions about social and economic characteristics were asked of a sample of persons in shelters only. Enumerators were instructed not to ask who was homeless; rather, they were told to count all persons (including children) staying overnight at the shelters, and everyone they saw on the street except the police, other persons in uniform, and persons engaged in employment or obvious money-making activities other than begging and panhandling. At both shelter and street sites, persons found sleeping were not awakened to answer questions. Rather, the enumerator answered the sex and race questions by observation and estimated the person’s age to the best of his or her ability. In shelters, administrative records and information from the shelter operator were used, when available, for persons who were already asleep. Less than 1 percent of shelters refused to participate in the census count at first. By the end of the census period, most of those eventually cooperated and the number of refusals had been reduced to a few. For the final refusals, head counts and population characteristics were obtained by enumerators standing outside such shelters and counting people as they left in the morning. The ‘‘street’’ count was restricted to persons who were visible when the enumerator came to the open, public locations that had been identified by local jurisdictions. Homeless persons who were well hidden, moving about, or in locations other than those identified by the local governments were likely missed. The number missed will never be known and there is no basis to make an estimate D–4 of the number missed from census data. The count of persons in open, public places was affected by many factors, including the extra efforts made to encourage people to go to shelters for ‘‘Shelter and Street Night,’’ the weather (which was unusually cold in many parts of the country), the presence of the media, and distrust of the census. Expectations of the number of homeless persons on the street cannot be based on the number seen during the day because the night-time situation is normally very different as more homeless persons are in shelters or very well hidden. For both ‘‘Shelter-and-Street-Night’’ locations, the Census Bureau assumed that the usual home of those enumerated was in the block where they were found (shelter or street). The ‘‘Shelter-and-Street-Night’’ operation replaced and expanded the 1980 Mission Night (M-Night) and Casual Count operations. These two operations were aimed at counting the population who reported having no usual residence. M-Night was conducted a week after Census Day, in April 1980. Enumerators visited hotels, motels, and similar places costing $4 or less each night; missions, flophouses, local jails and similar places at which the average length of stay was 30 days or less; and nonshelter locations, such as bus depots, train stations, and all night movie theaters. Questions were asked of everyone, regardless of age. Enumerators conducted M-Night up to midnight on April 8, 1980, and returned the next morning to collect any forms completed after midnight. The Casual Count operation was conducted in May 1980 at additional nonshelter locations, such as street corners, pool halls, welfare and employment offices. This operation lasted for approximately 2 weeks. Casual Count was conducted during the day only in selected large central cities. Only persons who appeared to be at least 15 years of age were asked if they had been previously enumerated. Casual Count was actually a coverage-improvement operation. It was not specifically an operation to count homeless persons living in the streets. Persons were excluded if they said they had a usual home outside the city because it was not cost effective to check through individual questionnaires in another city to try to find the person. PROCESSING PROCEDURES Respondents returned many census questionnaires by mail to 1 of over 344 census district offices or to one of six processing offices. In these offices, the questionnaires were ‘‘checked in’’ and edited for completeness and consistency of the responses. After this initial processing had been performed, all questionnaires were sent to the processing offices. In the processing offices, the household questionnaires were microfilmed and processed by the Film Optical Sensing Device for Input to Computers (FOSDIC). For most items on the questionnaire, the information supplied COLLECTION AND PROCESSING PROCEDURES JOBNAME: No Job Name PAGE: 5 SESS: 25 OUTPUT: Wed Sep 2 15:09:26 1992 / node2/ F main F / 90dec/ all/ usst/ appd by the respondent was indicated by filling circles in predesignated positions. FOSDIC electronically ‘‘read’’ these filled circles from the microfilm copy of the questionnaire and transferred the information to computer tape. The computer tape did not include individual names, addresses, or handwritten responses. The data processing was performed in several stages. All questionnaires were microfilmed, ‘‘read’’ by FOSDIC, and transferred to computer disk. Selected written entries in the race question on both the short and long forms were keyed from the microfilm and coded using the data base developed from the 1980 census and subsequent content and operational tests. Keying of other written entries on the long forms occurred in the seven processing offices. COLLECTION AND PROCESSING PROCEDURES The information (for example, income dollar amounts or homeowner shelter costs) on these keyed files was merged with the FOSDIC data or processed further through one of three automated coding programs. The codes for industry, occupation, place-of-birth, migration, place-of-work, ancestry, language, relationship, race, and Hispanic origin were merged with the FOSDIC data for editing, weighting, and tabulating operations at Census Bureau headquarters. All responses to the questions on Individual Census Reports (ICR’s), Military Census Reports (MCR’s), and Shipboard Census Reports (SCR’s) were keyed, not processed by microfilm or FOSDIC. D–5 JOBNAME: No Job Name PAGE: 1 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe APPENDIX E. Facsimiles of Respondent Instructions and Questionnaire Pages FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–1 JOBNAME: No Job Name PAGE: 2 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–2 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 3 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–3 JOBNAME: No Job Name PAGE: 4 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–4 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 5 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–5 JOBNAME: No Job Name PAGE: 6 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–6 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 7 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–7 JOBNAME: No Job Name PAGE: 8 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–8 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 9 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–9 JOBNAME: No Job Name PAGE: 10 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–10 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 11 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–11 JOBNAME: No Job Name PAGE: 12 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–12 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 13 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–13 JOBNAME: No Job Name PAGE: 14 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe E–14 FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES JOBNAME: No Job Name PAGE: 15 SESS: 26 OUTPUT: Wed Sep 2 15:14:03 1992 / node2/ F main F / 90dec/ sample/ usst/ appe FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES E–15 JOBNAME: No Job Name PAGE: 1 SESS: 104 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf APPENDIX F. Data Products and User Assistance Printed Reports CONTENTS Data Products - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Geographic Products - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Other Census Bureau Resources - - - - - - - - - - - - - - - - - - - - - - - - - Reference Materials - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sources of Assistance - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - F–1 F–3 F–5 F–4 F–4 The 1990 census data products, being released during 1991-93, are available in a variety of new and traditional media. The Census Bureau has increased the product options available to data users in an effort to meet a variety of requirements and maximize the usefulness of the data. For example, laser discs, called CD-ROM (compact disc—readonly memory), are a new data delivery medium. The Census Bureau also has expanded services and sources of assistance available to data users. For example, the State Data Center Program has been expanded to include over 1,400 organizations to provide data and services to the public. This appendix provides a detailed introduction to the 1990 census data products and related materials, such as maps and reference publications. It concludes by describing sources of assistance and other Census Bureau data available to the public. DATA PRODUCTS Printed reports and computer tape files traditionally are the most widely used products. The Census Bureau also offers data on microfiche, on CD-ROM laser discs, and through its online service, CENDATATM. These various products are described below. For information about prices and how to order, write or call Customer Services. (See the ‘‘Sources of Assistance’’ section for the address and phone number.) The data products present statistics about the subjects covered in the 1990 census questionnaires. These subjects are listed in figure 1, page F–7. As the figure shows, there are 100-percent subjects (those covered in questions asked of everyone or about every housing unit) and sample subjects (those covered in questions asked at about one out of every six housing units). Generally, a data product presents either 100-percent data prepared by tabulating the responses to the 100-percent questions from all questionnaires, or sample data prepared by tabulating only the responses to the 100-percent and sample questions from the ‘‘long-form’’ questionnaires. Two report series, 1990 CPH-3 and 1990 CPH-4 (see figure 2, page F–8), present both 100-percent and sample data. DATA PRODUCTS AND USER ASSISTANCE Printed reports are the most convenient and readily available source of data for most census users. The Census Bureau releases the reports in several series (see figure 2) that are grouped under three broad titles: 1990 Census of Population and Housing (1990 CPH), 1990 Census of Population (1990 CP), and 1990 Census of Housing (1990 CH). There also are reports, not reflected in figure 2, for the outlying areas of the Pacific. The reports are sold by the Superintendent of Documents, U.S. Government Printing Office. (See the ‘‘Sources of Assistance’’ section for the address and phone number.) In several series, there are separate reports for each State. The geographic coverage of the State reports is listed in figure 2. The United States summaries for these report series contain, for the most part, data for the United States, regions, divisions, States, metropolitan areas (MA’s), urbanized areas (UA’s), counties, American Indian and Alaska Native areas, places with 10,000 or more persons, and other large substate areas (for example, county subdivisions, such as towns and townships, with 10,000 or more persons in selected States). Report series that present data for small areas, such as census tracts, contain limited subject-matter detail (for example, counts of people by age ranges—under 5 years, 5 to 9 years, etc.—rather than by single years). Report series that include greater amounts of subject-matter detail include less geographic detail. Computer Tape Files The Census Bureau provides more data on tape and other machine-readable products than in printed reports. These products are sold by the Census Bureau’s Customer Services. There are several general types of data files released on computer tape (available on both reels and cartridges). They are introduced below, and more information is presented in figures 3 and 4, pages F–11 through F–13. Public Law 94-171 Data—This data file presents the counts designed and formatted for use in legislative redistricting. These counts also are available on CD-ROM and paper listings. Excerpts are available on CENDATATM. The counts, for areas as small as blocks, census tracts, and voting districts, include totals for population, race groups, persons of Hispanic origin, population 18 years and over, and housing units. (See figure 4.) F–1 JOBNAME: No Job Name PAGE: 2 SESS: 92 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Summary Tape Files (STF’s)— These computer tape files provide statistics with greater subject-matter detail than printed reports. They also present statistics for some types of areas, such as block groups and blocks, that are not included in the reports. (See figure 3.) Here are some important features of STF’s: • Each STF presents a particular set of data tables for specific types of geographic areas. • Each STF has three or more file types (indicated by a letter suffix attached to the STF number) that differ in the geographic levels reported, but contain the same data detail. • STF’s 1 and 2 contain 100-percent data, and STF’s 3 and 4 offer sample data. • STF’s 1 and 3 report on smaller areas and offer less data detail than STF’s 2 and 4. Microfiche Block statistics are available on microfiche as they were for the 1980 census. The microfiche present, in table format, a subset of the tabulations for census blocks found in STF 1B (see figure 3). In the 1990 census, for the first time, the entire land area of the Nation and its possessions was block-numbered. This increased the number of blocks for which the Census Bureau provides data from 2.5 million in 1980 to 7 million for 1990. The cost and storage of block data of this magnitude would be prohibitive if the data were published in printed reports. STF’s 1A and 3A are available on microfiche, as well. As noted in figure 3, they provide data for a variety of geographic areas. Also, all printed reports are offered on microfiche from Customer Services soon after they are published. • STF’s 1 through 4 offer greater data detail than the 1980 STF’s 1 through 4. Compact Disc—Read-Only Memory (CD-ROM) Subject Summary Tape Files (SSTF’s)—These files are the source of the subject reports and provide greater subject-matter detail than the STF’s. They present data for the United States, regions, and divisions, and, in some cases, also for States, counties, and large cities. (See figure 4.) For the 1990 census, the Public Law (P.L.) 94-171 file; an extract of STF 1B that presents selected statistics for blocks; and STF’s 1A, 1C, 3A, 3B, and 3C are also available on CD-ROM. (One 4 3/ 4-inch CD-ROM, a type of optical or laser disc, can hold the contents of approximately 1,600 flexible diskettes, or three or four highdensity computer tapes.) Public Use Microdata Sample (PUMS) Files—These computer tape files (see figure 4) contain data from samples of long-form housing-unit records (‘‘microdata’’) for large geographic areas. Each sample housingunit record includes essentially all the 1990 census data collected about each person in a sample household and the characteristics of the housing unit. Information that could be used to identify an individual or a housing unit is not included in the file. Microdata files enable users to prepare customized tabulations and cross-tabulations of most items on the census questionnaire. There are two PUMS files: • A file presenting a 5-percent sample of housing units in which each household record includes codes to let the user know in what area, such as a group of counties, a single county, or a place, the household is located. Each area identified must have a population of at least 100,000 and boundaries that do not cross State lines. • A file presenting a 1-percent sample of housing units. Its household records include codes associating them with MA’s and other large areas, the boundaries of which may cross State lines. (For the 1980 census, there were two files with 1-percent samples. The 1-percent sample showing data for selected urbanized areas and other large areas will not be produced for the 1990 census.) Other Special Computer Tape Files—Other files include the Census/ Equal Employment Opportunity (EEO) Special File and the County-to-County Migration File. (See figure 4.) The Census Bureau may prepare additional special files. F–2 Online Information Systems The Census Bureau began CENDATATM, its online information service, in 1984. CENDATATM is accessible through two information vendors, CompuServe and DIALOG. A number of Census Bureau reports, in whole or in part, are offered online. For the 1990 census, CENDATATM provides up-to-date information about the availability of data products and carries selections of State, county, MA, and place data from the P.L. 94-171 tape file and STF’s 1 and 3. Custom Data Products These products are for users who require unique tabulations that are not included in standard products; for example, information for locally defined geographic areas. Users also can order special microdata files. The cost of preparing custom products must be paid by the users who request them. Any data that the Census Bureau provides in these products are subject to the same standards applied to other data to ensure that confidential individual information is not revealed. User-Defined Areas Program (UDAP) Tabulations— UDAP can provide a set of predefined data tables for locally defined areas that do not correspond to standard 1990 census geographic areas. Users identify the geographic areas of interest to them by delineating boundaries around groupings of census blocks on 1990 census County DATA PRODUCTS AND USER ASSISTANCE JOBNAME: No Job Name PAGE: 3 SESS: 92 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Block Maps or by electronically submitting the geographic components of their area of interest. (A contact for more information is given in the ‘‘Sources of Assistance’’ section.) Special Tabulations—The Census Bureau can prepare special data tabulations for any specific geographic or subject-matter area. Users should rely on standard reports, tapes, microfiche, or user-defined area tabulations whenever possible, since special tabulations tend to be substantially more expensive and take time to arrange and produce. (Contacts for more information are given in the ‘‘Sources of Assistance’’ section.) GEOGRAPHIC PRODUCTS Maps Census Bureau maps are necessary for virtually all uses of small-area 1990 census data. They are needed to locate the specific geographic areas for which the census provides data and to study the spatial relationship of the data for analytic purposes. The Census Bureau prepares a variety of 1990 census maps. Among the most useful are these four series: County Block Maps—These maps show census blocks and their numbers; boundaries for statistical and governmental entities, such as census tracts and places; and physical features. The P.L. 94-171 version of these maps also shows voting district boundaries in those States that furnished them. The maps are prepared on electrostatic plotters by county (or equivalent entity) with one or more map sheets each, depending on the size and shape of the area and the density of the block pattern. An average county requires 20 map sheets. The maps may be purchased from Customer Services. County Subdivision Outline Maps—Maps in this Statebased series present the boundaries of the counties, county subdivisions, places, American Indian and Alaska Native areas (including off-reservation trust lands), tribal designated statistical areas, and tribal jurisdiction statistical areas. Electrostatic-plotter copies are available for purchase from Customer Services. Also, they appear on multiple page-size sheets in the State reports of these series: 1990 CPH-1, 1990 CPH-2, 1990 CPH-5, 1990 CP-1, 1990 CP-2, 1990 CH-1, and 1990 CH-2. Census Tract/ Block Numbering Area (BNA) Outline Maps—Maps in this county-based series depict census tract or BNA boundaries and numbers, and the features underlying the boundaries. They also show governmental units in relation to the census tracts/ BNA’s. Customer Services sells electrostatic-plotter copies, and the Superintendent of Documents sells printed copies. DATA PRODUCTS AND USER ASSISTANCE Voting District Outline Maps—Maps in this county-based series depict voting district boundaries (for those counties for which States furnished boundary information) and the features underlying the boundaries. They also show governmental unit boundaries in relation to the voting districts. They are prepared on electrostatic plotters and sold by Customer Services. Geographic Publications The Geographic Identification Code Scheme report in the 1990 CPH-R series shows the 1990 census geographic area codes and Federal information processing standards (FIPS) codes, as appropriate, for States, metropolitan areas, counties, county subdivisions, places, American Indian and Alaska Native areas, and other entities, along with some descriptive information about the codes. The code scheme also is offered on computer tape. Machine-Readable Geographic Files All 1990 census summary tape files include 1990 census geographic area codes, FIPS codes, certain area names, land and inland water area in square kilometers, geographic coordinates for an internal point for each entity, and other geographic information. The Census Bureau developed an automated geographic data base, known as the TIGER (Topologically Integrated Geographic Encoding and Referencing) System, to produce the geographic products for the 1990 census. TIGER provides coordinate-based digital map information for the entire United States, Puerto Rico, the U.S. Virgin Islands, and the Pacific territories over which the United States has jurisdiction. The TIGER System has significantly improved the utility of 1990 census maps and geographic reference products. Extract files generated from the TIGER System permit users, with appropriate software, to perform such tasks as linking the statistical data in the P.L. 94-171 file or the STF’s and displaying selected characteristics on maps or a video display screen at different scales and with whatever boundaries they select for any geographic area of the country. For example, a map for a particular county could show the distribution of the voting age population by city block. The first extract of selected geographic and cartographic information intended for computer applications, such as plotting maps and building geographic information systems, is called the TIGER/ LineTM files. TIGER/ LineTM files contain attributes for the segments of each boundary and feature (for example, roads, railroads, and rivers), including 1990 census geographic codes for adjacent areas, latitude/ longitude coordinates of segment end points and the curvature of segments, the name and type of the feature, and the relevant census feature class code identifying the feature segment by category. TIGER/ LineTM files also furnish address ranges and associated ZIP F–3 JOBNAME: No Job Name PAGE: 4 SESS: 108 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Codes for each side of street segments in major urban areas; provide the names of landmarks, such as lakes and golf courses; and include other information. TIGER/ LineTM files and other TIGER System extracts, such as TIGER/ BoundaryTM and TIGER/ DataBaseTM, are released on computer tape and, in some cases, CD-ROM. For information on TIGER extract files, contact Customer Services. REFERENCE MATERIALS The Census Bureau issues several reference publications for data users. Some are sold by the Superintendent of Documents; others are distributed free by Customer Services. Addresses and phone numbers for the Superintendent of Documents and Customer Services are given in the following section. • 1990 Census of Population and Housing, Guide. This guide, in the 1990 CPH-R report series, provides detailed information about all aspects of the census and a comprehensive glossary of census terms. Sold by the Superintendent of Documents, U.S. Government Printing Office. • 1990 Census of Population and Housing Tabulation and Publication Program. A free report describing 1990 census products, comparing 1990 products with those of 1980, and more. Request from Customer Services. • Census ’90 Basics. A free booklet covering how the 1990 census data were collected and processed, the full range of data products, the maps and geographic files, and more, but with less detail than the Guide (above). Request from Customer Services. • Census ABC’s—Applications in Business and Community. A free booklet that highlights key information about the 1990 census and illustrates a variety of ways the data can be used. Request from Customer Services. • Strength in Numbers. A free, tabloid-size booklet designed to assist people in using 1990 census data in redistricting. Among other features, it includes illustrations of maps and Public Law 94-171 counts. Request from Customer Services. • TIGER: The Coast-to-Coast Digital Map Data Base. A free booklet describing the structure and uses of the Census Bureau’s TIGER System. Request from Customer Services. • Census and You. The Census Bureau’s monthly newsletter for data users. It reports on the latest 1990 census developments, selected new publications and computer tape files, other censuses and surveys, developments in services to users, and upcoming conferences and training courses. Subscriptions are sold by the Superintendent of Documents, U.S. Government Printing Office. F–4 • Monthly Product Announcement. A free monthly listing of all new Census Bureau publications; microfiche; maps; data files on tape, diskettes, or CD-ROM; and technical documentation. To subscribe, contact Customer Services. • Census Catalog and Guide. A comprehensive annual description of data products, statistical programs, and services of the Census Bureau. It provides abstracts of the publications, data files, microfiche, maps, and items online. In addition, the Catalog/ Guide offers such features as information about censuses and surveys and telephone contact lists of data specialists at the Census Bureau, the State Data Centers, and other data processing service centers. It is sold by the Superintendent of Documents, U.S. Government Printing Office. Users also can get listings of new Census Bureau products, updated daily, by subscribing to the Daily List. This information and selected statistics are available online through CENDATATM, the Census Bureau’s online information service. For more information, contact Customer Services. SOURCES OF ASSISTANCE U.S. Bureau of the Census The Census Bureau’s Customer Services sells most of the machine-readable data products, microfiche, and maps described earlier. (The 1990 census printed reports are sold by the Superintendent of Documents, as noted below.) Also, users may consult with specialists at the Census Bureau’s Washington headquarters and its 12 regional offices. From time to time, the specialists also conduct workshops, seminars, and training courses. Washington, DC, Contacts—To order products, for a telephone contacts list of Census Bureau specialists, and for general information: Customer Services, U.S. Bureau of the Census, Washington, DC 20233, telephone 301763-4100 (fax number, 301-763-4794). For User-Defined Areas Program (UDAP) information: UDAP Staff, Decennial Planning Division, U.S. Bureau of the Census, Washington, DC 20233, telephone 301-7634282. For special tabulation information: Population—Rosemarie Cowan, Population Division, U.S. Bureau of the Census, Washington, DC 20233, telephone 301-763-5476; Housing—William Downs, Housing and Household Economic Statistics, U.S. Bureau of the Census, Washington, DC 20233, telephone 301-763-8553. DATA PRODUCTS AND USER ASSISTANCE JOBNAME: No Job Name PAGE: 5 SESS: 106 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Regional Office Contacts— Atlanta, GA Boston, MA Charlotte, NC Chicago, IL Dallas, TX Denver, CO Detroit, MI Kansas City, KS Los Angeles, CA New York, NY Philadelphia, PA Seattle, WA 404-347-2274 617-565-7078 704-371-6144 312-353-0980 214-767-7105 303-969-7750 313-354-4654 913-236-3711 818-904-6339 212-264-4730 215-597-8313 206-728-5314 Superintendent of Documents, U.S. Government Printing Office The Superintendent of Documents handles the sale of most of the Federal Government’s publications, including 1990 census reports. To order reports and for information: Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402, telephone 202-783-3238. Other Sources of Products and Services State Data Centers—The Census Bureau furnishes data products, training in data access and use, technical assistance, and consultation to all States, the District of Columbia, Guam, Puerto Rico, and the U.S. Virgin Islands. State Data Centers, in turn, offer publications for reference, printouts from computer tape, specially prepared reports, maps, and other products and assistance to data users. For a list of the State Data Centers, see the Census Catalog and Guide or contact Customer Services. The list also notes organizations in States participating in the Census Bureau’s Business/ Industry Data Center (BIDC) Program. The BIDC’s help business people, economic development planners, and other data users obtain and use data. National Services Program—The National Services Program (NSP) provides data-related services for nationally based nonprofit organizations that represent minorities or other segments of the population who have been historically undercounted in decennial censuses. The participants include social service, business, professional, civil rights, educational, and religious groups. Through a pilot project, the National Services Information Center (NSIC) Initiative, three of these nonprofit groups now offer their clientele reports, computer tape printouts, and other information from the Census Bureau. To learn more about the NSP and the NSIC, write to the National Services Program, Data User Services Division, Bureau of the Census, Washington, DC 20233, or call 301-763-1384. National Clearinghouse—The National Clearinghouse for Census Data Services is a listing of private companies and other organizations that offer assistance in obtaining and DATA PRODUCTS AND USER ASSISTANCE using data released by the Census Bureau. For a list of participants in the National Clearinghouse, see the Census Catalog and Guide or contact Customer Services. Depository Libraries—There are 1,400 libraries that receive (from the Government Printing Office) Federal publications that they think their patrons will need. Often some of these publications are Census Bureau reports. The Census Bureau provides free reports to an additional 120 census depository libraries. Also, many libraries purchase census reports and maps for their areas. The Census Catalog and Guide includes a list of all depository libraries. OTHER CENSUS BUREAU RESOURCES The Census Bureau has more to offer than just the results of the census of population and housing. Through other censuses, surveys, and estimates programs, it compiles and issues (in reports, computer tape, and other media) data on subjects as diverse as appliance sales, neighborhood conditions, and exports to other countries. Here are examples of the information published about— • People: Age, race, sex, income, poverty, child care, child support, fertility, noncash benefits, education, commuting habits, pension coverage, unemployment, ancestry. • Business and industry: Number of employees, total payroll, sales and receipts, products manufactured or sold. • Housing and construction: Value of new construction, numbers of owners and renters, property value or rent paid, housing starts, fuels used, mortgage costs. • Farms: Number, acreage, livestock, crop sales. • Governments: Revenues and expenditures, taxes, employment, pension funds. • Foreign trade: Exports and imports, origin and destination, units shipped. • Other nations: Population, birth rates, death rates, literacy, fertility. The other censuses, such as agriculture, retail trade, manufactures, and governments, are collected for years ending in ‘‘2’’ and ‘‘7.’’ Surveys and estimates programs generate results as often as every month. Many of the monthly ‘‘economic indicators’’ that measure how the Nation is doing come directly or indirectly from the Census Bureau. Examples: employment and unemployment; housing starts; wholesale and retail trade; manufacturers’ shipments, inventories, and orders; export and import trade; and sales of single-family homes. The other statistical activities of the Census Bureau are described below. Data users will find more information about them and descriptions of their data products in the F–5 JOBNAME: No Job Name PAGE: 6 SESS: 92 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf annual Census Catalog and Guide. Also, special guides and brochures are prepared for most of them. Contact the Census Bureau’s Customer Services for more information. Current Demographic and Housing Programs Two types of current programs complement the 10-year census: population estimates and surveys. The total population of the United States is estimated monthly; the population of States, counties, and metropolitan areas is estimated annually; and the population of places and other governmental units is estimated every 2 years. Projections of future population are made at the national and State levels. The Census Bureau’s many household surveys update population and housing characteristics at the national level and sometimes for States and metropolitan areas, as well. These surveys also obtain many characteristics not included in the 10-year census. The Current Population Survey is taken monthly; the American Housing Survey national sample is taken biennially; the American Housing Survey metropolitan sample is taken in 44 areas, 11 per year in a 4-year cycle; most other surveys are annual or less frequent. Economic Censuses and Surveys The economic censuses provide statistics about business establishments once every 5 years, covering years ending in ‘‘2’’ and ‘‘7.’’ The 1987 Economic Censuses include the censuses of retail trade, wholesale trade, service industries, transportation, manufactures, mineral industries, and construction industries. Also included are related programs, such as statistics on minority- and women-owned businesses, enterprise statistics, and censuses of economic activity in Puerto Rico and some of the outlying areas under U.S. jurisdiction. Several key statistics are tabulated for all industries covered in the censuses. They are number of establishments, number of employees, payroll, and measure of output (sales or receipts, and value of shipments or of work done). Other items vary from sector to sector. The Census Bureau also has programs that provide current statistics on such measures as total sales of particular kinds of businesses or production of particular products. These programs include monthly, quarterly, and annual surveys, the results of which appear in publication series such as Current Business Reports and Current Industrial Reports. The County Business Patterns program offers annual statistics based on data compiled primarily from administrative records. Agriculture Census and Surveys The agriculture census is conducted concurrently with the economic censuses. It is the only source of uniform agriculture data at the county level. It provides data on such subjects as the number and size of farms; land use and ownership; livestock, poultry, and crops; and value of products sold. F–6 Results of three surveys—the 1988 Farm and Ranch Irrigation Survey, 1988 Census of Horticulture Specialties, and 1988 Agricultural Economics and Land Ownership Survey—are published in conjunction with the 1987 Census of Agriculture. Also, the Census Bureau regularly issues reports from a survey on cotton ginnings. Governments Census and Surveys The census of governments, also for years ending in ‘‘2’’ and ‘‘7,’’ covers all types of governments: Federal, State, county, municipal (place), township (county subdivision), school district, and special district. It provides data on such subjects as number of public employees, payrolls, revenue, and expenditures. Annual and quarterly surveys cover the same principal subjects but generate data only for States and the largest local governments. Foreign Trade Statistics Monthly U.S. merchandise trade data compiled by the Census Bureau summarize export and import transactions and are based on the official documents filed by shippers and receivers. These figures reflect the flow of merchandise but not intangibles like services and financial commitments. The trade figures trace commodity movements out of and into the U.S. Customs jurisdiction, which includes Puerto Rico and the U.S. Virgin Islands as well as the 50 States and the District of Columbia. Data are published separately on trade between the United States and Puerto Rico, the U.S. Virgin Islands, and other U.S. possessions. Other Statistical Activities The Census Bureau also offers international data. It maintains an international data base which is available to the public on computer tape and is used to produce the biennial World Population Profile report. It prepares studies dealing with the demographic and economic characteristics of other countries and world regions. Statistical compendia are another important data product. These publications (sometimes also offered in machinereadable form) draw data from many sources and reorganize them for convenient use. The most widely used compendia are the annual Statistical Abstract of the United States, the County and City Data Book (published every 5 years), and the State and Metropolitan Area Data Book (published approximately every 4 years). DATA PRODUCTS AND USER ASSISTANCE JOBNAME: No Job Name PAGE: 7 SESS: 90 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 1. 1990 Census Content 100-PERCENT COMPONENT Population Household relationship Sex Race Age Marital status Hispanic origin Housing Number of units in structure Number of rooms in unit Tenure—owned or rented Value of home or monthly rent Congregate housing (meals included in rent) Vacancy characteristics SAMPLE COMPONENT Population Housing Social characteristics: Education—enrollment and attainment Place of birth, citizenship, and year of entry into U.S. Ancestry Language spoken at home Migration (residence in 1985) Disability Fertility Veteran status Year moved into residence Number of bedrooms Plumbing and kitchen facilities Telephone in unit Vehicles available Heating fuel Source of water and method of sewage disposal Year structure built Condominium status Farm residence Shelter costs, including utilities Economic characteristics: Labor force Occupation, industry, and class of worker Place of work and journey to work Work experience in 1989 Income in 1989 Year last worked NOTE: Questions dealing with the subjects covered in the 100-percent component were asked of all persons and housing units. Those covered by the sample component were asked of a sample of the population and housing units. DATA PRODUCTS AND USER ASSISTANCE F–7 JOBNAME: No Job Name PAGE: 8 SESS: 99 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 2. 1990 Census Printed Reports Series Report(s) issued for Title Description Geographic areas 1990 CENSUS OF POPULATION AND HOUSING (1990 CPH) 100-Percent Data 1990 CPH-1 Summary Population and Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Population and housing unit counts, and summary statistics on age, sex, race, Hispanic origin, household relationship, units in structure, value and rent, number of rooms, tenure, and vacancy characteristics Local governmental units (i.e., counties, places, and towns and townships), other county subdivisions, and American Indian and Alaska Native areas 1990 CPH-2 Population and Housing Unit Counts U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Total population and housing unit counts for 1990 and previous censuses States, counties, county subdivisions, places, State component parts of metropolitan areas (MA’s) and urbanized areas (UA’s), and summary geographic areas (for example, urban and rural) 100-Percent and Sample Data 1990 CPH-3 Population and Housing Characteristics for Census Tracts and Block Numbering Areas MA’s, and the nonmetropolitan balance of each State, Puerto Rico, and U.S. Virgin Islands Statistics on 100-percent and sample population and housing subjects In MA’s: census tracts/ block numbering areas (BNA’s), places of 10,000 or more inhabitants, and counties. In the remainder of each State: census tracts/ BNA’s, places of 10,000 or more, and counties 1990 CPH-4 Population and Housing Characteristics for Congressional Districts of the 103rd Congress States and DC Statistics on 100-percent and sample population and housing subjects Congressional districts (CD’s) and, within CD’s, counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, and American Indian and Alaska Native areas Sample Data 1990 CPH-5 Summary Social, Economic, and Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Statistics generally on sample population and housing subjects Local governmental units (i.e., counties, places, and towns and townships), other county subdivisions, and American Indian and Alaska Native areas 1990 CENSUS OF POPULATION (1990 CP) 100-Percent Data 1990 CP-1 F–8 General Population Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics States, counties, places of 1,000 or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts of American Indian areas, Alaska Native areas, and summary geographic areas such as urban and rural DATA PRODUCTS AND USER ASSISTANCE JOBNAME: No Job Name PAGE: 9 SESS: 98 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 2. 1990 Census Printed Reports—Con. Series Title Report(s) issued for Description Geographic areas 1990 CENSUS OF POPULATION (1990 CP)—Con. 100-Percent Data—Con. 1990 CP-1-1A General Population Characteristics for American Indian and Alaska Native Areas U.S. Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics American Indian and Alaska Native areas; i.e., American Indian reservations, off-reservation trust lands, tribal jurisdiction statistical areas (Oklahoma), tribal designated statistical areas, Alaska Native village statistical areas, and Alaska Native Regional Corporations 1990 CP-1-1B General Population Characteristics for Metropolitan Areas U.S. Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics Individual MA’s. For MA’s split by State boundaries, summaries are provided both for the parts and for the whole MA 1990 CP-1-1C General Population Characteristics for Urbanized Areas U.S. Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics Individual UA’s. For UA‘s split by State boundaries, summaries are provided both for the parts and for the whole UA Sample Data 1990 CP-2 Social and Economic Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Statistics generally on sample population subjects States (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, Alaska Native areas, and the State portion of American Indian areas 1990 CP-2-1A Social and Economic Characteristics for American Indian and Alaska Native Areas U.S. Statistics generally on sample population subjects American Indian and Alaska Native areas, as for CP-1-1A 1990 CP-2-1B Social and Economic Characteristics for Metropolitan Areas U.S. Statistics generally on sample population subjects Individual MA’s, as for CP-1-1B 1990 CP-2-1C Social and Economic Characteristics for Urbanized Areas U.S. Statistics generally on sample population subjects Individual UA’s, as for CP-1-1C 1990 CP-3 Population Subject Reports Selected subjects Approximately 30 reports on population census subjects such as migration, education, income, the older population, and racial and ethnic groups Generally limited to the U.S., regions, and divisions; for some reports, other highly populated areas such as States, MA’s, counties, and large places DATA PRODUCTS AND USER ASSISTANCE F–9 JOBNAME: No Job Name PAGE: 10 SESS: 98 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 2. 1990 Census Printed Reports—Con. Series Title Report(s) issued for Description Geographic areas 1990 CENSUS OF HOUSING (1990 CH) 100-Percent Data 1990 CH-1 General Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics States, counties, places of 1,000 or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts of American Indian areas, Alaska Native areas, and summary geographic areas such as urban and rural 1990 CH-1-1A General Housing Characteristics for American Indian and Alaska Native Areas U.S. Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics American Indian and Alaska Native areas; i.e., American Indian reservations, trust lands, tribal jurisdiction statistical areas (Oklahoma), tribal designated statistical areas, Alaska Native village statistical areas, and Alaska Native Regional Corporations 1990 CH-1-1B General Housing Characteristics for Metropolitan Areas U.S. Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics Individual MA’s. For MA’s split by State boundaries, summaries are provided both for the parts and for the whole MA 1990 CH-1-1C General Housing Characteristics for Urbanized Areas U.S. Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics Individual UA’s. For UA’s split by State boundaries, summaries are provided both for the parts and for the whole UA 1990 CH-2 Detailed Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands 1990 CH-2-1A Detailed Housing Characteristics for American Indian and Alaska Native Areas U.S. Statistics generally on sample housing subjects American Indian and Alaska Native areas, as in 1990 CH-1-1A 1990 CH-2-1B Detailed Housing Characteristics for Metropolitan Areas U.S. Statistics generally on sample housing subjects Individual MA’s, as in 1990 CH-1-1B 1990 CH-2-1C Detailed Housing Characteristics for Urbanized Areas U.S. Statistics generally on sample housing subjects Individual UA’s, as in 1990 CH-1-1C 1990 CH-3 Housing Subject Reports Selected subjects Approximately 10 reports on housing census subjects such as structural characteristics and space utilization Generally limited to U.S., regions, and divisions; for some reports, other highly populated areas such as States, MA’s, counties, and large places F–10 Sample Data Statistics generally on sample housing subjects States (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, Alaska Native areas, and State parts of American Indian areas DATA PRODUCTS AND USER ASSISTANCE JOBNAME: No Job Name PAGE: 11 SESS: 107 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 3. 1990 Census Summary Tape Files Summary Tape File (STF 1A, 1B, etc.) and data type (100 percent or sample)1 STF 1 (100 percent) STF 2 (100 percent) STF 3 (Sample) Geographic areas A2 3 States, counties, county subdivisions, places, census tracts/ block numbering areas (BNA’s), block groups (BG’s). Also Alaska Native areas and State parts of American Indian areas B2 3 States, counties, county subdivisions, places, census tracts/ BNA’s, BG’s, blocks. Also Alaska Native areas and State parts of American Indian areas C3 U.S., regions, divisions, States (including summaries such as urban and rural), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, metropolitan areas (MA’s), urbanized areas (UA’s), American Indian and Alaska Native areas D Congressional districts (CD’s) of the 103rd Congress by State; and within each CD: counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, Alaska Native areas, and American Indian areas A In MA’s: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s. In the remainder of each State: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s B States (including summaries such as urban and rural), counties, places of 1,000 or more inhabitants, county subdivisions, State parts of American Indian areas, and Alaska Native areas C U.S., regions, divisions, States (including summaries such as urban and rural), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all county subdivisions in New England MA’s, American Indian and Alaska Native areas, MA’s, UA’s A2 3 States, counties, county subdivisions, places, census tracts/ BNA’s, BG’s. Also Alaska Native areas and State parts of American Indian areas B3 Five-digit ZIP Codes within each State C3 U.S., regions, divisions, States, counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, American Indian and Alaska Native areas, MA’s, UA’s D CD’s of the 103rd Congress by State; and within each CD: counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States DATA PRODUCTS AND USER ASSISTANCE Description Over 900 cells/ items of 100percent population and housing counts and characteristics for each geographic area Over 2,100 cells/ items of 100percent population and housing counts and characteristics for each geographic area. Each of the STF 2 files will include a set of tabulations for the total population and separate presentations of tabulations by race and Hispanic origin Over 3,300 cells/ items of sample population and housing characteristics for each geographic area F–11 JOBNAME: No Job Name PAGE: 12 SESS: 107 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 3. 1990 Census Summary Tape Files—Con. Summary Tape File (STF 1A, 1B, etc.) and data type (100 percent or sample)1 STF 4 (Sample) 1 2 3 Geographic areas Description A In MA’s: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s. In the remainder of each State: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s B State (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, all county subdivisions in New England MA’s, State parts of American Indian areas, and Alaska Native areas C U.S., regions, divisions, States (including urban and rural and metropolitan and nonmetropolitan components), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all county subdivisions in New England MA’s, American Indian and Alaska Native areas, MA’s, UA’s Over 8,500 cells/ items of sample population and housing characteristics for each geographic area. Each of the STF 4 files will include a set of tabulations for the total population and separate presentations of tabulations by race and Hispanic origin. Similar STF’s will be prepared for Puerto Rico and the U.S. Virgin Islands. Also available on microfiche. STF 1B microfiche provides only part of the data for blocks and other areas in the tape file. Also available on laser disc (CD-ROM). STF 1B CD-ROM presents the same file extract as STF 1B microfiche. F–12 DATA PRODUCTS AND USER ASSISTANCE JOBNAME: No Job Name PAGE: 13 SESS: 107 OUTPUT: Wed Sep 2 15:11:10 1992 / node2/ F main F / 90dec/ all/ usst/ appf Figure 4. Other 1990 Census Data Products Title Description Geographic areas Subject Summary Tape Files About 20 computer tape files used to produce the subject reports (1990 CP-3 and 1990 CH-3 series). On the average, a file is the source of two subject reports U.S., regions, divisions, States, metropolitan areas ( MA’s), and large counties and places Public Law 94-171 Data File (redistricting data) Counts by total, race, and Hispanic origin for the total population and population 18 years old and over, and counts of housing units. Available on tape, CD-ROM, and paper listings States, counties, county subdivisions, places, census tracts/ block numbering areas (BNA’s), block groups (BG’s), and blocks; voting districts where States have identified them for the Census Bureau; and American Indian and Alaska Native areas Census/ Equal Employment Opportunity (EEO) Special File Sample tabulations showing detailed occupations and educational attainment data by age; cross tabulated by sex, Hispanic origin, and race Counties, MA’s, places of 50,000 or more inhabitants County-to-County Migration File Summary statistics for all intra-state county-tocounty migration streams and significant interstate county-to-county migration streams. Each record will include codes for the geographic area of destination, and selected characteristics of the persons who made up the migration stream States, counties Public Use Microdata Sample (PUMS) Files Machine-readable files containing a sample of individual long-form census records showing most population and housing characteristics but with identifying information removed 5 Percent—PUMS Areas County groups, counties, county subdivisions, and places with 100,000 or more inhabitants 1 Percent—Metropolitan Areas (1990) MA’s and other large areas with 100,000 or more inhabitants User-Defined Areas Tabulations A set of standard tabulations provided on printouts, tapes, or other products with maps and narrative (if requested) User-defined areas created by aggregating census blocks Special Tabulations User-defined tabulations for specified geographic areas provided on printouts, tapes, or other products User-defined areas or standard areas DATA PRODUCTS AND USER ASSISTANCE F–13 JOBNAME: No Job Name PAGE: 1 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg APPENDIX G. Ancestry Code List ANCESTRY This section contains the code list for ancestry categories. Each person enumerated in the census had the opportunity to enter two distinct ancestry identities which indicated his or her ethnic origin. Each entry received one of the unique three-digit codes listed below. However, not all ancestry entries are listed. The ancestry codes can be aggregated to create commonly recognized national groupings. For example, the code for Walloon can be collapsed with other ‘‘Belgian’’ entries to form a national grouping representative of an area in Europe. National groupings can also be collapsed to represent continental areas. For example, Belgium can be added to France and other European clusters to form a representation of that continent. The abbreviation for not elsewhere classified is ‘‘n.e.c.’’ 000-099 WESTERN EUROPE (EXCEPT SPAIN) 000-099 WESTERN EUROPE (EXCEPT SPAIN)—Con. 000-001 000-001 ALSATIAN Alsace Lorraine 002 002 ANDORRAN Andorra 013 013 014 Guernsey Islander Jersey Islander GIBRALTAR 003-004 003 003 004 004 AUSTRIAN AUSTRIAN Austria TIROL Tirol 015 015 CORNISH Cornwall 016 016 CORSICAN Corsica 005-007 005 005 005 006 007 007 BASQUE BASQUE Euskalduna Euzkadi FRENCH BASQUE SPANISH BASQUE Vasco 017-019 017 017 018 019 CYPRIOT CYPRIOT Cyprus GREEK CYPRIOTE TURKISH CYPRIOTE 020 020 DANISH Denmark 008-010 008 008 009 009 009 009 010 BELGIAN BELGIAN Belgium FLEMISH Flanders Fleming Vlamand WALLOON 021 021 021 DUTCH Holland Netherlands 022 022 022 022 ENGLISH Anglican England Mayflower 011-014 011 011 011 012 BRITISH BRITISH Great Britain United Kingdom BRITISH ISLES 023 023 FAEROE ISLANDER Faeroe Islands 024-025 024 024 FINNISH FINNISH Finland 013 CHANNEL ISLANDER 025 KARELIAN ANCESTRY CODE LIST G–1 JOBNAME: No Job Name PAGE: 2 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 000-099 WESTERN EUROPE (EXCEPT SPAIN)—Con. 000-099 WESTERN EUROPE (EXCEPT SPAIN)—Con. 026-027 026 026 026 026 026 027 FRENCH FRENCH France Gascon Hugenot Normandy LORRAINE 028 028 028 028 BRETON Breizh Bretagne Brittany 029 029 FRISIAN Friesian Islands 030-031 030 030 030 031 FRIULIAN FRIULIAN Friuli Furlan LADIN 032-045 032 032 033 034 035 036 037 038 039 040 041 042 043 044 045 045 045 GERMAN GERMAN Germany BAVARIA BERLIN HAMBURG HANNOVER HESSIAN LUBECKER POMERANIAN PRUSSIAN SAXON SUDETENLANDER WESTPHALIAN EAST GERMAN WEST GERMAN Palatinate Rhineland 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 050 Clare Cork Donegal Dubliner Eire Galway Ireland Irish Free State Kerry Kildare Kilkenny Laoighis Leitrim Leix Limerick Longford Louth Mayo Meath Monaghan Offaly Roscommon Sligo Tipperary Waterford Westmeath Wexford Wicklow 046-048 046 046 047 048 048 048 GREEK GREEK Greece CRETAN CYCLADES Dodecanese Islander Peloponnesian 051-074 051 051 051 052 053 054 054 055 055 056 057 057 ITALIAN ITALIAN Istria Italy TRIESTE ABRUZZI APULIAN Apulia BASILICATA Lucania CALABRIAN AMALFIN Campania 049 049 ICELANDER Iceland 050 050 IRISH Black Irish 058 059 059 059 060 061 062 063 064 EMILIA ROMAGNA ROME Lazio Vatican City LIGURIAN LOMBARDIAN MARCHE MOLISE NEAPOLITAN G–2 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 3 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 000-099 WESTERN EUROPE (EXCEPT SPAIN)—Con. 000-099 WESTERN EUROPE (EXCEPT SPAIN)—Con. 065 066 067 068 068 069 069 070 071 072 073 073 074 PIEDMONTESE PUGLIA SARDINIAN SICILIAN Sicily TOSCANA Tuscany TRENTINO UMBRIAN VALLE DAOST VENETIAN Venezia Giulia SAN MARINO 084-086 084 084 084 084 085 086 PORTUGUESE PORTUGUESE Lusitania Luso Portugal AZORES ISLANDER MADEIRA ISLANDER 087 087 SCOTCH-IRISH Scot-Irish 075 075 075 LAPP Lapland Samelat 088 088 088 088 088 088 SCOTTISH Orkney Islander Pict Scot Scotland Shetland Islander 076 076 LIECHTENSTEINER Liechtenstein 077 077 LUXEMBURGER Luxemburg 089-090 089 089 090 SWEDISH SWEDISH Sweden ALAND ISLANDER 078 078 078 MALTESE Gozo Malta 079 079 MANX Isle of Man 080 080 MONEGASQUE Monaco 091-096 091 091 092 093 093-094 095 096 096 SWISS SWISS Switzerland SUISSE SWITZER Schweiz ROMANSCH SUISSE ROMANE Ticino 081 081 081 081 081 081 081 081 081 081 081 NORTH IRISH Antrim Armagh Derry Down Fermanagh Londonderry Northern Ireland Orangeman Tyrone Ulster 097 097 WELSH Wales 098 098 098 SCANDINAVIAN Nordic Scandinavia 099 099 CELTIC Celtic 100-180 EASTERN EUROPE AND SOVIET UNION 082 082 082 082 082 NORWEGIAN Jan Meyen Islander Norway Spitsbergen Svalbard Islander 083 083 OCCITAN Provence 100 100 100 100 100 100 100 ALBANIAN Albania Arberesh Gheg Italo Albanian Kossovo Tosc ANCESTRY CODE LIST G–3 JOBNAME: No Job Name PAGE: 4 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 100-180 EASTERN EUROPE AND SOVIET UNION—Con. 100-180 EASTERN EUROPE AND SOVIET UNION—Con. 101 101 101 101 AZERBAIJANI Adjerbaijani Azerbaidzhan Azeri 102 102 BELORUSSIAN Byelorussian 117 117 117 118 119 Komi Mari Udmurt MORDOVIAN VOYTAK 103 103 103 103 BULGARIAN Bulgaria Bulgaro Macedonian Eastern Rumelian 120-121 120-121 GRUZIIA Gruzinets 104-105 104 104 104 104 105 CARPATHO RUSYN CARPATHO RUSYN Carpatho Rus Carpatho Russian Carpatho Ruthenian CARPATHIAN 122-123 122 123 123 123 GERMAN FROM RUSSIA GERMAN FROM RUSSIA VOLGA Black Sea German Volhynian German 106 106 106 106 RUSYN Rus Rusin Rusnak 107 107 RUTHENIAN Ruthenia 108 108 108 108 108 COSSACK Don Cossack Orenburg Cossack Terek Cossack Ural Cossack 124 124 124 124 124 124 124 124 124 124 124 124 124 ROM Boyash Cali Dom Gitanos Gypsy Kalderash Luri Manouche Nat Romnichal Senti Xoraxaya 109-110 109 109 109-110 CROATIAN Croatia Dalmatian Zadar 125-126 125 125 125 126 HUNGARIAN HUNGARIAN Hungary Szekler MAGYAR 127 127 KALMYK Kalmuck 111-113 111 112 113 CZECH CZECH BOHEMIAN MORAVIAN 128 128 128 LATVIAN Latvia Lettish 114 114 114 CZECHOSLOVAKIAN Czechoslovakia Tczechoslovakia 129 129 129 LITHUANIAN Jmoud Lithuania 115-116 115 115 116 ESTONIAN ESTONIAN Estonia LIVONIAN 130 130 130 MACEDONIAN Macedonia Slavophone 131 131 MONTENEGRIN Orna Gora 117-119 117 FINNO UGRIAN FINNO UGRIAN 132-141 NORTH CAUCASIAN G–4 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 5 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 100-180 EASTERN EUROPE AND SOVIET UNION—Con. 100-180 EASTERN EUROPE AND SOVIET UNION—Con. 132 132 132 132 132 132 132 132 132 132 132 132 132 133 133 133 133 133 133 133-139 140-141 NORTH CAUCASIAN Abkhazian Adyge Avar Caucasus Mountains Chechen Daghestan Darghinian Gortsy Ingush Kabardinian Lezghian Tavlintsy NORTH CAUCASIAN TURKIC Adzharian Balkar Cherkess Circassian Karachay Kumyk OSSETIAN 153 153 153 SLOVAK Slovakian Slovjak 154-155 154 154 154 154 155 155 155 155 155 SLOVENE SLOVENE Slovenc Slovenian Slovenski SORBIAN/ WEND Lusatian Serb Sorb Wend Wendish 142-143 142 142 142 142 142 142 143 POLISH POLISH Gorali Masurian Poland Polonia Polska KASHUBIAN 156-163 156 156 157 158 159 160 161-162 163 SOVIET TURKIC SOVIET TURKIC Soviet Turk BASHKIR CHUVASH GAGAUZ MESKNETIAN TUVINIAN YAKUT 164 164 SOVIET UNION Union of Soviet Socialist Republics 144-147 144 144 144 145 145 146 147 147 ROMANIAN ROMANIAN Romania Transylvania BESSARABIAN Dobruja MOLDAVIAN WALLACHIAN Vlach 165-167 165 165 165 165 165 165-166 167 167 TATAR TATAR Crimean Tatar Kazan Tatar Nogay Tatar Polish Tatar Volga Tatar SOVIET CENTRAL ASIA Kurile Islander 167 167 Sakhalin Islander Siberian 148-151 148 148 148 148 148 148-149 150-151 RUSSIAN RUSSIAN Black Russian Great Russian Red Russian Rossiya Russia MUSCOVITE 152 152 SERBIAN Serb 168-170 168 168 168 168 168 168 168 168 168 168 169-170 TURKESTANI TURKESTANI Karakalpak Kazak Kirghiz Tadzhik Turcoman Turkestani Turkmen Turkoman Uiger UZBEG ANCESTRY CODE LIST G–5 JOBNAME: No Job Name PAGE: 6 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 100-180 EASTERN EUROPE AND SOVIET UNION—Con. 200-299 HISPANIC CATEGORIES (INCLUDING SPAIN)—Con. 171-174 171 171 171 171 172 172 173 174 UKRAINIAN UKRANIAN Little Russian Malo Russian Ukraine LEMKO Lemkian BIOKO HUSEL 200 200 200 200 SPANIARD Espanola Iberian Spain 201 202 203 ANDALUSIAN ASTURIAN CASTILLIAN 175 175 175 WINDISH Prekmurje Windisch 176-177 176 176 177 177 177 177 YUGOSLAVIAN YUGOSLAVIAN Jugoslavia HERZEGOVINIAN Bosanci Bosnian Muslim Bosnjaci 204-209 204 204 205 205 206 207 208-209 CATALONIAN CATALONIAN Catalonia BALEARIC ISLANDER Mallorca GALLEGO VALENCIAN CANARY ISLANDER 178-180 178 178 179-180 SLAVIC SLAVIC Slav SLAVONIAN 181-199 EUROPE, N.E.C. 181 181 181-182 183 183-184 185 185-186 187 187-189 190 190 190 191-192 193-194 195 196 196-199 EUROPE, N.E.C. Central European Middle European NORTHERN EUROPEAN North Europe SOUTHERN EUROPEAN South Europe WESTERN EUROPEAN West Europe EASTERN EUROPEAN Byzantine East Europe BUKOVINA SILESIAN EUROPEAN GALICIAN Galicia 200-299 HISPANIC CATEGORIES (INCLUDING SPAIN) 200-203 SPANIARD 210-218 210 211 212 213 214-217 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 218 MEXICAN MEXICAN MEXICAN AMERICAN MEXICANO CHICANO LA RAZA MEXICAN STATE Aguascalientes Baja California Campeche Chiapas Chihuahua Coahuila Colima Distrito Federal Durango Guanajuato Guerrero Hidalgo Jalisco Mexico Michoacan Morelos Nayarit Nuevo Leon Oaxaca Puebla Queretaro Quintana Roo San Luis Potosi Sinaloa Sonora Tabasco Tamaulipas G–6 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 7 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 200-299 HISPANIC CATEGORIES (INCLUDING SPAIN)—Con. 200-299 HISPANIC CATEGORIES (INCLUDING SPAIN)—Con. 218 218 218 218 Tlaxcala Vera Cruz Yucatan Zacatecas 239 239 VENEZUELAN Venezuela 240-248 240-248 CRIOLLO Criolla 219-221 219 219-221 COSTA RICAN Costa Rica Costarricense 249 249 249 SOUTH AMERICAN America Del Sur Sudamerica 222 222 GUATEMALAN Guatemala 223 223 HONDURAN Honduras 224 224 NICARAGUAN Nicaragua 250-260 250 250 250 251 252-260 LATIN AMERICAN LATIN AMERICAN America Latina Latinoamericana LATIN LATINO 225 225 PANAMANIAN Panama 226 226 226 SALVADORAN El Salvador Salvadorian 261-270 261 261 261 261 261-270 PUERTO RICAN Boricua Borinquena New York Puerto Rican Puerto Rico Puertorriqueno 227-228 227-228 CENTRAL AMERICAN Central America 229-230 CANAL ZONE 271-274 271 271 271-274 CUBAN Cuba Cubana Guajiro 231 231 ARGENTINEAN Argentine 275 275 DOMINICAN Dominican Republic 232 BOLIVIAN 275 275 Dominicana Santo Domingo 232 Bolivia 233 233 CHILEAN Chile 276-290 276-290 HISPANIC Hispano 234 234 234 COLOMBIAN Antiochio Colombia 235 235 235 ECUADORIAN Ecuador Galapagos Islander 291-299 292 293 293 294 295-299 SPANISH CALIFORNIO TEJANO Tejana NUEVO MEXICANO SPANISH AMERICAN 236 236 PARAGUAYAN Paraguay 300-359 WEST INDIES (EXCEPT HISPANIC) 237 237 PERUVIAN Peru 300 300 BAHAMIAN Bahamas 238 238 URUGUAYAN Uruguay 301 301 BARBADIAN Barbados ANCESTRY CODE LIST G–7 JOBNAME: No Job Name PAGE: 8 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 300-359 WEST INDIES (EXCEPT HISPANIC)—Con. 300-359 WEST INDIES (EXCEPT HISPANIC)—Con. 302 302 302 BELIZEAN Belize British Honduran 303 303 BERMUDAN Bermuda 304-307 CAYMAN ISLANDER 308-309 308-309 JAMAICAN Jamaica 327 327 327 328 329 329 330 330 330 330 331 Sombrero Islander St. Kitts Nevis DOMINICA ISLANDER GRENADIAN Grenada Islander VINCENT-GRENADINE ISLANDER St. Vincent Island Vincentian Grenadines Islander ST. LUCIA ISLANDER 310-313 310 310 310 311 311 311 312-313 312 312-313 DUTCH WEST INDIES DUTCH WEST INDIES Black Dutch Netherlands Antilles ARUBA ISLANDER Bonaire Islander Curacao Islander ST. MAARTEN ISLANDER Saba Islander St. Eustatius Islander 332-334 332 332 333 333 333 334 334 334 334 FRENCH WEST INDIES FRENCH WEST INDIES French West Indian GUADELOUPE ISLANDER Martinicois Martinique Islander CAYENNE French Guiana French Guianese Guyane 314-316 314 315 316 TRINIDADIAN TOBAGONIAN TRINIDADIAN TOBAGONIAN TRINIDADIAN TOBAGONIAN 317-320 317 318 318 318 319 320 U.S. VIRGIN ISLANDER U.S. VIRGIN ISLANDER ST. CROIX ISLANDER Crucian Santa Cruz ST. JOHN ISLANDER ST. THOMAS ISLANDER 335 335 335 335 335 335 WEST INDIAN West Indies Arawak Caribs Caribbean Garifuna 336-359 336-359 HAITIAN Haiti 360-399 CENTRAL AND SOUTH AMERICA (EXCEPT HISPANIC) 321-331 321 321 321 321 321 321 322 322 323 324 325 325 325 325 326 327 327 BRITISH WEST INDIES BRITISH VIRGIN ISLANDER Tortolan Virgin Gorda Anegada Jost Van Dyke Peter and Norman BRITISH WEST INDIAN British West Indies TURKS AND CAICOS ISLANDER ANGUILLA ISLANDER ANTIGUA AND BARBUDA Antigua Barbuda Redonda Islander MONTSERRAT ISLANDER KITTS-NEVIS ISLANDER St. Christopoher Islander 360-364 360-364 BRAZILIAN Brazil 365-369 SAN ANDRES 370-374 370 370-374 GUYANESE British Guiana Guyana 375-379 PROVIDENCIA 380-399 380 380-399 SURINAM Dutch Guiana Netherlands Guiana 400-499 NORTH AFRICA AND SOUTHWEST ASIA 400-401 ALGERIAN G–8 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 9 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 400-499 NORTH AFRICA AND SOUTHWEST ASIA—Con. 400-499 NORTH AFRICA AND SOUTHWEST ASIA—Con. 400-401 Algeria 402-403 402 402 402-403 EGYPTIAN Copt Egypt Fellahin 427-428 427-428 SAUDI ARABIAN Saudi Arabia 404-405 404-405 LIBYAN Libya 429-430 429 429 429-430 SYRIAN Djebel Druze Latakia Syria 406-407 406 406 407 MOROCCAN MOROCCAN Moor IFNI 431-433 431-433 ARMENIAN Armenia 434 434 TURKISH Turkey 408-410 408-410 TUNISIAN Tunisia 435 435 YEMENI Yemen Arab Republic 411 NORTH AFRICAN 412 412 412 412 ALHUCEMAS Ceuta Chafarinas Melilla 436-441 436 437 438 438 439-440 441 OMANI OMANI MUSCAT TRUCIAL STATES Trucial Oman QATAR BEDOUIN 413 BERBER 414 414 RIO DE ORO Saguia El Hamra 442-464 442-443 444-464 KURDISH KURDISH KURIA MURIA ISLANDER 415 415 BAHRAINI Bahrain 416 416 416 416 IRANIAN Iran Parsi Persia 465-469 465 466 467-469 PALESTINIAN PALESTINIAN GAZA STRIP WEST BANK 417-418 417-418 IRAQI Iraq 470-479 470 470 471-479 SOUTH YEMEN SOUTH YEMEN Democratic Republic of Yemen ADEN 419-420 419-420 ISRAELI Israel 421-422 421 421 421 422 JORDANIAN JORDANIAN Hashemite Jordan TRANSJORDAN 480-481 480 480 480 480 480 480 480-481 UNITED ARAB EMIRATES Abu Dhabi Ajman Dubai Fujairah Ras Al Kaimah Sharjah Umm Al Qaiwain 423-424 423-424 KUWAITI Kuwait 425-426 425 425-426 LEBANESE Lebanon Maronite 482-489 482 482 482 482 482 ASSYRIAN Aramean Assyria Chaldean Chaldo Jacobite ANCESTRY CODE LIST G–9 JOBNAME: No Job Name PAGE: 10 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 400-499 NORTH AFRICA AND SOUTHWEST ASIA—Con. 500-599 SUBSAHARAN AFRICA—Con. 482 482 482 482 482 482-489 Kaldany Kaldu Kasddem Kasdu Nestorian Telkeffee 490-494 490-494 MIDEAST Middle Eastern 520 520 521 521 521 521 521 EQUATORIAL GUINEA Rio Muni CORSICO ISLANDER Annobon Islander Bioko Islander Elobeis Islander Fernando Po Islander 495-499 495 495 496-499 ARAB ARAB Arabia ARABIC 522-524 522 522 522 523-524 ETHIOPIAN ETHIOPIAN Abyssinia Ethiopia ERITREAN 525-526 525-526 GABONESE Gabon 527-528 527-528 GAMBIAN Gambia 529 529 529 529 529 GHANIAN Ashanti Ghana Gold Coast TWI 530 530 GUINEAN Guinea 531 GUINEA BISSAU 532-533 IVORY COAST 534-537 534-537 KENYAN Kenya 538-540 538-540 LESOTHO Basuto 541-542 541-542 LIBERIAN Liberia 543-544 543-544 MADAGASCAN Madagascar 545 545 MALAWIAN Malawi 546 546 MALIAN Mali 547-548 547-548 MAURITANIAN Mauritania 549 549 MOZAMBICAN Mozambique 500-599 SUBSAHARAN AFRICA 500-501 500 500-501 ANGOLAN Angola Cabinda 502-503 502 502-503 BENIN Dahomey Fon 504-505 504-505 BOTSWANA Bechuana 506-507 506-507 BURUNDIAN Urundi 508-509 508 508-509 CAMEROONIAN Cameroon Fako 510-511 510 510-511 CAPE VERDEAN Brava Cape Verde Islander 512 512 CENTRAL AFRICAN REPUBLIC Ubangi Shari 513-514 513-514 CHADIAN Chad 515-518 515 516-518 CONGOLESE CONGOLESE CONGO BRAZZAVILLE 519 519 519 DJIBOUTI Afars And Issas Jibuti 520-521 EQUATORIAL GUINEA G–10 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 11 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 500-599 SUBSAHARAN AFRICA—Con. 500-599 SUBSAHARAN AFRICA—Con. 550 550 NAMIBIAN Namibia 551-552 NIGER 582 582 583 584-585 TANZANIAN Tanzania TANGANYIKAN ZANZIBAR ISLANDER 553-560 553 553 554 554 555 556 557 558-560 NIGERIAN NIGERIAN Nigeria FULAH Fulani HAUSA IBO TIV YORUBA 586-587 586-587 TOGO Togoland 588 588 588 UGANDAN Lugbara Uganda 589-590 589 590 UPPER VOLTAN UPPER VOLTAN VOLTA 561-563 561-563 RWANDAN Rwanda 564-565 564 564-565 SENEGALESE Dakar Senegal 591 591 591 591 ZAIRIAN Belgian Congo Congo Kinshasa Zaire 566-567 566-567 SIERRA LEONEAN Sierra Leone 592 592 ZAMBIAN Zambia 568 568 568 SOMALIAN Somali Republic Somalia 593 593 593 ZIMBABWEAN Rhodesia Zimbabwe 594-595 569 SWAZILAND 570-573 570 571 571 571 571 571 572 572 573 SOUTH AFRICAN SOUTH AFRICAN UNION OF SOUTH AFRICA Orange Free State Pretoria Transkei Transvaal AFRIKANER Boer NATALIAN 594 594 594 594 594 594 594 594 594 595 595 AFRICA ISLANDS (EXCEPT MADAGASCAR) AFRICA ISLANDS Comoros Islander Principe Islander Reunion Islander Sao Tome Islander Seychelles Islander St. Helena Islander St. Pierre Islander Tristan De Cunha Islander MAURITIAN Mauritius Islander 574-575 574-575 ZULU Zululand 576-581 576 576 577 578 579 579 580-581 SUDANESE SUDANESE Sudan DINKA NUER FUR Darfur BAGGARA 582-585 TANZANIAN 596-599 596 596 596 597 597 597 597 597 598 598 599 599 SUBSAHARAN AFRICAN, N.E.C. CENTRAL AFRICAN Central Africa Middle Congo EAST AFRICAN East Africa Galla Kikuyu Masai WEST AFRICAN West Africa AFRICAN Africa ANCESTRY CODE LIST G–11 JOBNAME: No Job Name PAGE: 12 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 600-699 SOUTH ASIA 600-699 SOUTH ASIA—Con. 600-602 600 601 602 AFGHANISTAN AFGHANISTAN BALUCHISTAN PATHAN 603-606 603 603-606 BANGLADESHI Bangladesh East Pakistan 690 690 690 691 692-694 SRI LANKAN Ceylon Sri Lanka SINGHALESE VEDDAH 607-608 607-608 BHUTANESE Bhotan 695-699 695 695-699 MALDIVIAN Kampuchean Maldive Islander 609-614 609-614 NEPALI Nepal 700-799 OTHER ASIA 615-679 615 615 615 615 615 615 616-617 618-619 620-621 622 622-623 624-625 626-627 628-629 630-631 632-633 634-635 636-637 638-639 640-641 642-643 644-645 646-647 648-649 650-651 652-653 654-655 656-657 658-674 675-679 ASIAN INDIAN ASIAN INDIAN Behar Dravidian Hindu Indo Aryan Sikh KASHMIR BENGALI EAST INDIAN ANDAMAN ISLANDER Nocobar Islander ANDHRA PRADESH ASSAMESE GOANESE GUJARATI KARNATAKAN KERALAN MADHYA PRADESH MAHARASHTRAN MADRAS MYSORE NAGALAND ORISSA PONDICHERRY PUNJAB RAJASTHAN SIKKIM TAMIL NADU UTTAR PRADESH EAST INDIES 700-702 700 700 700 700 700-701 702 BURMESE BURMESE Cachin Karen Mon Palaung SHAN 703-705 703 703 703 704-705 CAMBODIAN CAMBODIAN Cambodia Kampuchea KHMER 706-711 706 706 706 706 706 707 708 709-711 CHINESE CHINESE China Jehol Sino Chinese Yao CANTONESE MANCHURIA MANDARIN 712-713 712 712-713 MONGOLIAN Buriat Mongolia 714-715 714-715 TIBETAN Tibet 680-689 680 680 680 680-689 PAKISTANI Jammu Pakistan Sind West Pakistan 716-717 716 716 716-717 HONG KONG Hong Kong Chinese Eastern Archipelago Riau Islander 718-719 MACAO 690-694 SRI LANKAN 720-729 720 720 FILIPINO Cebuanos Philippines G–12 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 13 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 700-799 OTHER ASIA—Con. 700-799 OTHER ASIA—Con. 720-729 Tagalog 770 Senoi 730-739 730 INDONESIAN INDONESIAN 730 730 730 730 730 730 730 730 730 730-731 732-733 734-735 736-739 Ascension Islander Bangka Billiton Celebes Islander Dutch East Indian Indonesia Molucca Islander Portuguese Timor Spice Islander Sulawesi Islander BORNEO JAVA SUMATRA 771-773 771 771 771-773 NORTH BORNEO Brunei Sabah Sarawak 774-775 774-775 SINGAPOREAN Singapore 776-781 776 776 776 777 777 778-781 THAI THAI Siam Thailand BLACK THAI Thai Dam WESTERN LAO 740-745 740 740 740 741 JAPANESE JAPANESE Japan Nipponese ISSEI 782 782 TAIWANESE Taiwan 783-784 783-784 FORMOSAN Formosa 742 743 744 745 NISEI SANSEI YONSEI GONSEI 746-747 746-747 RYUKYU ISLANDER Northern Ryukyu Islander 785-789 785 785 785 786 787 788-789 VIETNAMESE VIETNAMESE Anam Vietnam KATU MA MNONG 748-749 748-749 OKINAWAN Okinawa 790-791 790-791 MONTAGNARD Cham 750-764 750 750-764 KOREAN Chosen Korea 792 792 INDO CHINESE Indochina 793 793 EURASIAN Indoeuropean 765-767 765 765 765 766-767 LAOTIAN LAOTIAN Lao Laos MEO 794 AMERASIAN 795-799 795 795-799 ASIAN Asia Orient 768-769 768 768 768-769 HMONG Hmongtana Laohmong Mong 800-899 PACIFIC 770 770 770 770 MALAYSIAN Malaysia Sakai Semang 800-802 800 800 800 800 AUSTRALIAN AUSTRALIAN Australia New South Wales Northern Territory ANCESTRY CODE LIST G–13 JOBNAME: No Job Name PAGE: 14 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 800-899 PACIFIC—Con. 800-899 PACIFIC—Con. 800 800 801 802 Queensland Victoria TASMANIAN AUSTRALIAN ABORIGINE 826 KOSRAEAN 803-807 803-807 NEW ZEALANDER New Zealand 827 827 827 827 PONAPEAN (POHNPEIAN) Mokilese Ngatikese Pingelapese 808-810 808 808 809 809 810 POLYNESIAN POLYNESIAN Norfolk Islander KAPINGAMARANGAN Nukuoroan MAORI 811-813 811 811 811-812 813 HAWAIIAN HAWAIIAN Mixed Hawaiian Native Hawaiian PART HAWAIIAN 828 828 828 828 828 828 828 828 828 TRUKESE (CHUUKESE) Hall Islander Mortlockese Namanouito Pulapese Pulasukese Pulawatese Tamatamian Ulul 829 YAPESE 814, 861 814 814 861 SAMOAN SAMOAN Samoa PART-SAMOAN 815 815 TONGAN Tonga 830 830 830 830 830 830 830 830 CAROLINIAN Eauripikese Faisian Ifalukese Lamotrekese Satawalese Ulithian Woleaian 816 816 TOKELAUAN Tokelau Islander 831 831 KIRIBATESE Gilbertese 817 COOK ISLANDER 818 818 818 TAHITIAN French Polynesia Society Islander 832-833 832 833 NAURUAN NAURUAN TARAWA ISLANDER 834-839 TINIAN 819 NIUEAN 840 MELANESIAN 820 820 820 MICRONESIAN Micronesia Islander U.S. Trust Territory of the Pacific 841-842 841-842 FIJIAN Fiji 821-822 821 821 822 GUAMANIAN GUAMANIAN Guam CHAMORRO ISLANDER 843-844 843 844 NEW GUINEAN NEW GUINEAN PAPUAN 845 845 SOLOMON ISLANDER British Solomons 823 823 823 SAIPANESE Northern Marianas Islander Saipan Islander 846 NEW CALEDONIAN 824 PALAUAN 847-849 847 847-849 VANUATUAN New Hebrides Islander Ni Vanuatu 825 825 MARSHALLESE Marshall Islander 850-859 PACIFIC ISLANDER G–14 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 15 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 800-899 PACIFIC—Con. 900-994 NORTH AMERICA (EXCEPT HISPANIC) 850 850 850 850 850 850-859 Campbell Islander Christmas Islander Kermadec Islander Midway Islander Phoenix Islander Wake Islander 860 860 PACIFIC Oceania 861 See SAMOAN (code 814) 900-912 900 901 902 903 904 905 906 906 906 907 908-912 AFRICAN AMERICAN AFRO AMERICAN AFRO AFRICAN AMERICAN BLACK NEGRO NONWHITE COLORED Bilalian Nigritian CREOLE MULATTO 862 CHAMOLINIAN 863-899 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE RESERVE 913-923 913 914-918 919 920 921 922 923 NATIVE AMERICAN CENTRAL AMERICAN INDIAN SOUTH AMERICAN INDIAN CHEROKEE AMERICAN INDIAN ALEUT ESKIMO INUIT 924-928 924 924 WHITE WHITE Caucasian 925 925 925-926 927 927 928 ANGLO Swamp Yankee Wasp APPALACHIAN Hillbilly ARYAN 929 929 929 929 929 PENNSYLVANIA GERMAN Amish Pennsylvania Dutch Mennonite Hutterite 930 GREENLANDER 931-934 931 931 931 931 931 931 931 931 931 931 931-932 933 CANADIAN CANADIAN Albertan British Columbia Canada Labrador Manitoba New Brunswick Ontario Prince Edward Islander Saskatchewan Yukon NEWFOUNDLAND ANCESTRY CODE LIST CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE CODE 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 G–15 JOBNAME: No Job Name PAGE: 16 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 900-994 NORTH AMERICA (EXCEPT HISPANIC)—Con. 900-994 NORTH AMERICA (EXCEPT HISPANIC)—Con. 934 NOVA SCOTIA 935 935 935 935 935 FRENCH CANADIAN Canadien Franco American Quebec Quebecois 936-938 936 936 937-938 ACADIAN/ CAJUN ACADIAN Acadia CAJUN 939 AMERICAN 978 979 980 981 982 983 984 985 986 987 988 989 990 991-992 PENNSYLVANIA RHODE ISLAND SOUTH CAROLINA SOUTH DAKOTA TENNESSEE TEXAS UTAH VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING GEORGIA 940-992 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974-975 976 977 UNITED STATES UNITED STATES ALABAMA ALASKA ARIZONA ARKANSAS CALIFORNIA COLORADO CONNECTICUT DISTRICT OF COLUMBIA DELAWARE FLORIDA IDAHO ILLINOIS INDIANA IOWA KANSAS KENTUCKY LOUISIANA MAINE MARYLAND MASSACHUSETTS MICHIGAN MINNESOTA MISSISSIPPI MISSOURI MONTANA NEBRASKA NEVADA NEW HAMPSHIRE NEW JERSEY NEW MEXICO NEW YORK NORTH CAROLINA NORTH DAKOTA OHIO OKLAHOMA OREGON 993 SOUTHERNER 994 994 NORTH AMERICAN North America 995-999 RESIDUAL AND NO RESPONSE 995 996-997 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 998 MIXTURE UNCODABLE ENTRIES OTHER RESPONSES Adventist Agnostic Apostolic Ashkenazim Jew Atheist Bahai Baptist Brethren Buddhist Catholic Christian Christian Scientist Congregationalist Episcopal Evangelist Hebrew Holiness Islam Jain Jehovahs Witnesses Jewish Latter Day Saints Lutheran Methodist Mormon Muslim Orthodox G–16 ANCESTRY CODE LIST JOBNAME: No Job Name PAGE: 17 SESS: 43 OUTPUT: Wed Sep 2 15:07:17 1992 / node2/ F main F / 90dec/ s1/ 2/ appg 995-999 RESIDUAL AND NO RESPONSE—Con. 995-999 RESIDUAL AND NO RESPONSE—Con. 998 998 998 998 998 998 Pentecostal Presbyterian Protestant Quaker Roman Catholic Salvation Army 998 998 998 998 998 998 999 Sephardic Seventh Day Adventist Shiite Unitarian Yiddish Zoroastrian NOT REPORTED ANCESTRY CODE LIST G–17
© Copyright 2026 Paperzz