Historical
Comparative
Economic
Analysis
Pasco County, Florida
POLICOM
CORPORATION
Pasco County, Florida
POLICOM
CORPORATION
Historical, Comparative
Economic Analysis
Pasco County, Florida
Prepared for
Pasco County - Office of Growth Management
September - 2011
POLICOM Corporation
2740 SW Martin Downs Blvd. #279
Palm City, FL 34990
Phone (772) 781-5559
www.policom.com
[email protected]
Copyright – 2011 – This report is prepared by and is the Copyrighted property of POLICOM Corporation, 2740 SW Martin Downs
Blvd #279, Palm City, FL 34990. It is intended for the use of the Client appearing on this title page under the terms and conditions
provided in the agreement by and between the Client and POLICOM. Any reproduction, sale, or distribution of this report in part
or in its entirety without the expressed written permission of POLICOM Corporation or the Client is prohibited.
POLICOM
Pasco County, Florida
CORPORATION
Table of Contents
Page
Introduction.......................................................................................................................iii
Study Area ........................................................................................................................iii
Database............................................................................................................................iv
Data Suppression................................................................................................................ v
Metropolitan Areas ............................................................................................................ v
About POLICOM..............................................................................................................vi
Section 1 – Components and History of the Economy ....................................................
Components and History of the Economy.......................................................................1-1
Employment....................................................................................................................1-2
Worker Earnings .............................................................................................................1-4
Earnings Per Worker - Wages.........................................................................................1-6
Total Personal Income.....................................................................................................1-8
Government Transfers...................................................................................................1-10
Per Capita Government Transfers .................................................................................1-11
Primary Industries .........................................................................................................1-12
Construction .................................................................................................................1-13
Manufacturing ..............................................................................................................1-14
Transportation and Warehousing ..................................................................................1-16
Retail Trade ..................................................................................................................1-17
Finance and Insurance...................................................................................................1-18
Real Estate ....................................................................................................................1-19
Information ...................................................................................................................1-20
Healthcare .....................................................................................................................1-21
Arts and Entertainment .................................................................................................1-22
Accommodations and Food Services ............................................................................1-23
Other Services...............................................................................................................1-24
Government Earnings....................................................................................................1-25
Farm Receipts ...............................................................................................................1-26
Section 2 – Level of the Economy......................................................................................
Level of the Economy – Introduction..............................................................................2-1
Annual Earnings Per Worker ..........................................................................................2-3
CPI Adjusted Annual Wages...........................................................................................2-4
% the Area Wage is Of....................................................................................................2-5
CPI Factored Wages........................................................................................................2-7
Factored Comparisons – Population, Earnings, Employment .........................................2-9
Population .....................................................................................................................2-12
CPI Factored Earnings ..................................................................................................2-14
Employment Factored ...................................................................................................2-16
Per Capita Personal Income ..........................................................................................2-18
Government Transfers...................................................................................................2-20
Section 3 – Comparative Analysis.....................................................................................
Comparative Analysis – Introduction..............................................................................3-1
Guide to Understanding the Data ....................................................................................3-2
Data Set 1 – All Years ....................................................................................................3-7
Data Set 2 – NAICS Industry Data ...............................................................................3-50
Section 4 – Resource Information.....................................................................................
NAICS Sector Definitions...............................................................................................4-1
ii
POLICOM
Pasco County, Florida
CORPORATION
Introduction
An individual or business is most affected by the economic condition in closest proximity
to where the individual lives or the business is located. The economic growth of the local
economy typically determines the standard of living for the individual and the success of
the business.
Local economies throughout the United States many times behave in significant contrast
to national or state trends, since national and state data are the aggregation and average of
the data for thousands of small economies. Average national growth rates can be much
different than local growth rates.
The condition of a local economy can also be much different than neighboring counties,
as each has its own characteristics and composition.
This “Historical, Comparative Economic Analysis” examines in great detail the
composition, history, and trends of the Pasco County economy. By examining the
contents of this report, the reader can gain significant insight as to what is driving the
economy and how it compares to the rest of the nation. The analysis is composed of four
sections.
Section 1 presents the existing composition, impact, and history of several important
economic categories. By viewing the charts and graphs provided, you can quickly
discern what are the most important factors affecting Pasco County.
Section 2 examines the “Level of the Economy” by studying the growth in the “quality
and size” of the economy as it influences the economic quality of life for the people
living and working in the area.
Section 3 compares the growth rate and economic importance of more than 80 items over
several time periods to the rest of the nation and several other areas. You will be able to
immediately discover short and long-term trends and shifts in the importance of various
economic sectors. Most importantly, all of the data is statistically measured against the
metropolitan areas in the United States so you can quickly see how each item for Pasco
County compares to the rest of the nation.
Section 4 is provided as a resource. Included is an explanation of the “NAICS” industrial
sectors.
iii
POLICOM
Pasco County, Florida
CORPORATION
Study Area
The geographic definition of the area examined in this study is Pasco County, Florida.
Pasco County is one of four component counties which comprise the Tampa – St.
Petersburg – Clearwater, FL Metropolitan Statistical Area. In 2009, the metropolitan
area ranked 57th among the 366 metropolitan areas for “economic strength.”
The Tampa – St. Petersburg – Clearwater, FL Metropolitan Statistical Area includes
Pasco, Hernando, Hillsborough, and Pinellas counties. Comparative data for the
metropolitan area appears in Section 3.
For an explanation of the methodology and the rankings for all areas, please go to
www.policom.com.
Database
The principle economic database used to prepare this analysis is maintained and
published by the United States Department of Commerce, Bureau of Economic Analysis,
Regional Economic Information System. The Bureau of Economic Analysis is the
official economic data gathering agency for the Federal Government.
This database was chosen for three reasons.
1) It is composed of “source data” which has been taken from the administrative records
of numerous government agencies as opposed to monthly surveys and polls.
2) The data has been collected and analyzed utilizing a reasonably consistent
methodology over the entire term of the study period.
3) The economic data is historically cumulative relative to the geographic definition of
the area.
Due to the time necessary for the various government agencies to collect and collate the
economic data, the Bureau of Economic Analysis is unable to publish the results until
approximately eighteen months after the end of a calendar year.
The economic history included in this analysis spans the years 1979 through 2009 and
was released April, 2011. The data for 2010 is scheduled for release in April of 2012.
Industry data is provided beginning in 2001. This is the first year the North American
Industrial Classification System (NAICS) data was released. Prior to 2001, data was
collected using the Standard Industrial Classification (SIC) system. The two systems are
not directly comparable.
iv
POLICOM
Pasco County, Florida
CORPORATION
Data Suppression
Federal and state laws require employers to report the number of employees and their
respective earnings for the administration of various government programs such as the
Unemployment Compensation program. It is from this reporting most economic data is
created. However, the privacy of individual employers is protected. The law provides
that if, through a reasonable effort, the actual number of employees or the actual wages
paid by a private company can be determined from the publication of economic data, then
that data must be withheld from the public. The data is suppressed.
Throughout this analysis, especially in Section 1 and Section 3, there will be “gaps” in a
data series in a graph, an “na” might appear instead of a number, or a “0” will be in a
column. This is the result of data suppression to protect the privacy of a private employer.
Metropolitan – Micropolitan Areas
Metropolitan areas are defined by the Office of Management and Budget (OMB). The
geographic definition is principally determined by examining commuting patterns among
counties. It is the goal of the OMB to identify “contained” economies where a
preponderance of the earning and spending by individuals occurs.
For the geographic definitions of all metropolitan areas, go to www.policom.com. There
are two types of metropolitan areas.
Metropolitan Statistical Areas (MSA) have at least one urbanized area with a
population of at least 50,000, plus adjacent territory (counties) which have a high degree
of social and economic integration with the core as measured by commuting ties. They
must have at minimum one county but most often include several counties.
There are 366 Metropolitan Statistical Areas in the United States plus 8 in Puerto Rico.
Only those in the United States are used for ranking purposes. Approximately 82% of the
nation’s population resides in the Metropolitan Statistical Areas.
Micropolitan Statistical Areas (MicrSA) did not exist prior to 2002. Once looked upon
as quasi-rural areas, a Micropolitan Statistical Area must have an urbanized area (city)
with a population of at least 10,000 but fewer than 50,000 people. They must be at least
one county and most are a single county.
As of January of 2011, the OMB has identified 576 Micropolitan Statistical Areas in the
United States and 5 in Puerto Rico.
For ranking purposes, if the study area is an MSA, it is compared and ranked as a MSA.
If it is a MicrSA, it is compared and ranked as a MicrSA. If it is a component county of
either, it is ranked as the parent area.
v
POLICOM
Pasco County, Florida
CORPORATION
About POLICOM Corporation
POLICOM Corporation is an independent economic research firm, which specializes in
analyzing local and state economies. Its products and services evaluate the economic
condition of counties, metropolitan areas, and states, determine what is the cause of the
condition, and offers suggestions and ideas on how to improve or maintain the economic
“quality of life” for the residents.
For more information, please contact:
POLICOM Corporation
2740 SW Martin Downs Blvd. #279
Palm City, FL 34990
Web Site: www.policom.com
E-Mail: [email protected]
Phone: 772-781-5559
vi
POLICOM
Pasco County, Florida
CORPORATION
Section 1
Employment - All Workers - Pasco, FL - 2001-2009
25,000
20,000
15,000
10,000
Retail
Health
5,000
Local Gov
Restaurant & Hotel
Other Services
Construction
Administrative
Real estate
0
2001
2002
2003
2004
2005
2006
Professional
Finance
2007
2008
2009
Components and History
Pasco County, Florida
POLICOM
Pasco County, Florida
CORPORATION
Components and History of the Economy
Every local economy in the nation has its own characteristics. Its rate of growth, composition,
consistency, and success will be different from other economies not only within the state but
even its next door neighbor.
This Section examines the composition of the Pasco County economy. Through a review of the
employment and earnings of the various industries, the most important elements of the economy
can be discovered.
The following are the categories examined.
Employment – In which industries are the jobs located?
Earnings – The volume of money earned by the workers in each industry.
Earnings per Worker (Wages) – Which industry pays the most, the least?
Total Personal Income – Its composition can tell a lot about the local economy.
Primary Industries – Which industrial sectors import the most money to the area?
Government Transfers – Have significant influence on most local economies.
Per Capita Government Transfers – How dependent is the area on entitlements?
Industrial Sectors – worker earnings are provided for “sub-sectors” for the following
industrial sectors:
Construction
Manufacturing
Transportation and Warehousing
Retail Trade
Finance and Insurance
Real Estate
Information
Healthcare
Arts and Entertainment
Accommodations and Food Service
Other Services
Government
Farm – Market Receipts
The actual amount and percentage for the United States is shown to provide a comparison
regarding the percentage of importance. Compare the area % to that of the USA to discover
“anomalies.”
As a result of data suppression, the percentages might not 100%. A “0” or an “na” will appear in
the chart if the data has been withheld. The history of each is provided graphically using data
from 2001 through 2009 for industry data. Due to data suppression, there will be “gaps” in the
graphs. Typically, small communities have the most data suppression.
Employment data at the sub-sector level is not available. Only worker earnings data is provided.
A complete explanation of the industries is contained in Section 4.
Section 1 – Page 1
POLICOM
Pasco County, Florida
CORPORATION
Employment
Employment includes all full and part-time wage and salaried workers and proprietors. Wage
and salaried workers are those who work for others; a corporation, sole proprietor, or a
partnership. Non-farm proprietors are typically the small business people in an area. They are
unincorporated businesses, sole proprietorships, and the general partners of partnerships.
The chart provides the estimated number of people employed in each industrial sector based
upon the NAICS data for 2009. The percentage each industry is of the total is also shown along
with the total for the nation.
The line graph shows the total number of workers from 1977 to 2008.
The Area % is the percentage the employment in each industry is of the employment of All
Workers in the area.
Pasco, FL
Employment - All Workers
All Workers
Wage & Salaried Workers
Nonfarm proprietors
2009
%
Area
USA
2009
%
USA
130,678
103,426
26,256
79.1%
20.1%
173,809,200
136,736,000
35,180,200
78.7%
20.2%
20,262
18,207
14,757
10,322
9,841
9,070
8,909
6,662
5,826
5,791
3,195
2,778
2,628
2,209
2,191
1,478
1,341
1,161
932
863
795
726
411
323
15.5%
13.9%
11.3%
7.9%
7.5%
6.9%
6.8%
5.1%
4.5%
4.4%
2.4%
2.1%
2.0%
1.7%
1.7%
1.1%
1.0%
0.9%
0.7%
0.7%
0.6%
0.6%
0.3%
0.2%
17,702,100
18,782,100
14,401,000
12,005,100
9,882,500
9,505,000
9,939,300
7,534,100
11,828,800
9,432,000
12,393,700
3,822,000
6,161,900
3,923,400
5,499,300
2,632,000
5,277,000
3,359,300
2,092,000
2,879,000
600,200
836,300
1,962,600
1,358,500
10.2%
10.8%
8.3%
6.9%
5.7%
5.5%
5.7%
4.3%
6.8%
5.4%
7.1%
2.2%
3.5%
2.3%
3.2%
1.5%
3.0%
1.9%
1.2%
1.7%
0.3%
0.5%
1.1%
0.8%
Retail Trade
Health Care and Social Assistance
Local Government
Accommodation and Food Services
Other Services
Construction
Administrative and Waste Services
Real Estate, Rental and Leasing
Professional and Technical Services
Finance and Insurance
Manufacturing
Arts, Entertainment, and Recreation
Wholesale Trade
Educational Services
Transportation and Warehousing
Farm
State Government
Information
Military
Federal, civilian
Utilities
Forestry, Fishing, Agricultural Services
Management of Companies
Mining
Section 1 – Page 2
POLICOM
Pasco County, Florida
CORPORATION
Pasco, FL
Employment - 1980 - 2009
160,000
140,000
120,000
100,000
80,000
60,000
40,000
20,000
0
09
08
07
06
05
04
03
02
01
00
Wage & Salaried Workers
99
98
97
96
95
94
93
92
91
90
89
88
87
86
85
84
83
82
81
80
All Workers
Nonfarm proprietors
Employment - All Workers - Pasco, FL - 2001-2009
25,000
20,000
15,000
10,000
Retail
Health
Local Gov
Restaurant & Hotel
Other Services
Construction
Administrative
Real estate
Professional
Finance
5,000
0
2001
2002
2003
2004
2005
2006
2007
2008
2009
Section 1 – Page 3
POLICOM
Pasco County, Florida
CORPORATION
Worker Earnings
Worker Earnings include all wages and salaries paid to individuals who work for others and the
profits of proprietors. It does not include the earnings or profits of corporations located in the
area. Data for proprietor profits is principally gleaned from personal income tax filings while
wages and salaries are taken from the administrative records filed by the employer with various
government agencies.
For wage and salaried workers, earnings principally represent the actual salary or hourly wage
payment. For “All Workers” and all the industries, earnings also include contributions to private
retirement programs, fees paid to members of boards of directors, and sometimes other financial
benefits.
The Area % is the percentage the earnings in each industry are of the earnings of All Workers in
the area.
Pasco, FL
Earnings - All Workers (000)
All Workers
Wage & Salaried Workers
Nonfarm proprietors
Health Care and Social Assistance
Local Government
Retail Trade
Construction
Other Services
Administrative and Waste Services
Professional and Technical Services
Accommodation and Food Services
Manufacturing
Finance and Insurance
Wholesale Trade
Educational Services
Federal, civilian
Transportation and Warehousing
Real Estate, Rental and Leasing
State Government
Utilities
Information
Military
Arts, Entertainment, and Recreation
Management of Companies
Farm
Forestry, Fishing, Agricultural Services
Mining
2009
Area %
2009
USA
4,611,367
3,518,019
278,048
76.3%
6.0%
8,811,175,000
6,266,732,000
981,467,000
71.1%
11.1%
945,514
751,288
552,418
330,778
294,206
228,249
210,930
193,442
185,996
151,230
128,256
80,613
78,733
72,052
65,994
65,229
65,103
48,016
45,316
45,149
33,796
18,784
15,698
4,577
20.5%
16.3%
12.0%
7.2%
6.4%
4.9%
4.6%
4.2%
4.0%
3.3%
2.8%
1.7%
1.7%
1.6%
1.4%
1.4%
1.4%
1.0%
1.0%
1.0%
0.7%
0.4%
0.3%
0.1%
971,286,000
826,399,000
525,110,000
477,797,000
320,041,000
323,156,000
886,691,000
260,671,000
900,278,000
608,246,000
448,492,000
141,356,000
298,116,000
290,157,000
151,989,000
310,507,000
77,546,000
299,885,000
171,549,000
98,329,000
205,912,000
68,504,000
24,390,000
124768000
11.0%
9.4%
6.0%
5.4%
3.6%
3.7%
10.1%
3.0%
10.2%
6.9%
5.1%
1.6%
3.4%
3.3%
1.7%
3.5%
0.9%
3.4%
1.9%
1.1%
2.3%
0.8%
0.3%
1.4%
Section 1 – Page 4
POLICOM
Pasco County, Florida
CORPORATION
Pasco, FL
Worker Earnings - 1980 - 2009
6,000,000
5,000,000
4,000,000
3,000,000
2,000,000
1,000,000
0
08
06
04
02
Wage & Salaried Workers
00
98
96
94
92
90
88
86
84
82
80
All Workers
Nonfarm proprietors
Earnings - All Workers (000) - Pasco, FL - 2001-2009
Health
Local Gov
Retail
Construction
Other Services
Administrative
Professional
2001
2002
Restaurant & Hotel
2003
2004
Manufacturing
2005
2006
Finance
2007
2008
2009
Section 1 – Page 5
POLICOM
Pasco County, Florida
CORPORATION
Earnings per Worker - Wages
Earnings per Worker are the estimate of the average annual earnings of the employees in each of
the various industries, derived by dividing the total earnings by the total employment in each
industry.
Nationally the Utilities sector has the highest annual wage among the industries, which is also
many times the case in a local economy. Usually, Retail Trade, Other Services, and
Accommodations and Food Services are the lowest paid major sectors.
The Area % is the percentage each industry’s annual wage is of the average for the area.
Pasco, FL
Wages All Workers
2009
Area %
2009
USA
All Workers
Wage & Salaried Workers
Nonfarm proprietors
35,288
34,015
10,590
96.4%
30.0%
50,695
45,831
27,898
90.4%
55.0%
Federal, civilian
Management of Companies
Utilities
Manufacturing
Health Care and Social Assistance
Local Government
Wholesale Trade
State Government
Military
Information
Educational Services
Construction
Professional and Technical Services
Transportation and Warehousing
Other Services
Retail Trade
Finance and Insurance
Administrative and Waste Services
Forestry, Fishing, Agricultural Services
Accommodation and Food Services
Arts, Entertainment, and Recreation
Mining
Farm
Real Estate, Rental and Leasing
91,232
82,229
81,891
58,215
51,931
50,911
48,804
48,642
48,622
41,357
36,493
36,469
36,205
32,885
29,896
27,264
26,115
25,620
21,623
18,741
16,252
14,170
12,709
9,906
258.5%
233.0%
232.1%
165.0%
147.2%
144.3%
138.3%
137.8%
137.8%
117.2%
103.4%
103.3%
102.6%
93.2%
84.7%
77.3%
74.0%
72.6%
61.3%
53.1%
46.1%
40.2%
36.0%
28.1%
103,548
104,918
129,200
72,640
51,713
57,385
72,785
58,842
82,002
89,270
36,029
50,268
74,960
52,763
32,385
29,664
64,487
32,513
29,164
21,713
25,727
91,842
26,027
20,173
204.3%
207.0%
254.9%
143.3%
102.0%
113.2%
143.6%
116.1%
161.8%
176.1%
71.1%
99.2%
147.9%
104.1%
63.9%
58.5%
127.2%
64.1%
57.5%
42.8%
50.7%
181.2%
51.3%
39.8%
Section 1 – Page 6
POLICOM
Pasco County, Florida
CORPORATION
Wages - 1980 - 2009
Pasco, FL
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
0
09
08
07
06
05
04
Wage & Salaried Workers
03
02
01
00
99
98
97
96
95
94
93
92
91
90
89
88
87
86
85
84
83
82
81
80
All Workers
Nonfarm proprietors
Wages All Workers - Pasco, FL - 2001-2009
100,000
90,000
80,000
70,000
60,000
50,000
40,000
30,000
Federal
Management
20,000
Utilities
Manufacturing
10,000
Health
Local Gov
0
Wholesale
2001
2002
State Gov
2003
2004
Military
2005
2006
Information
2007
2008
2009
Section 1 – Page 7
POLICOM
Pasco County, Florida
CORPORATION
Total Personal Income
Total Personal Income (TPI) is defined as the "income received by, or on behalf of, all the
residents of the area." There are three distinct ingredients to TPI: 1) Earnings by place of
residence, 2) Dividends, Interest, and Rents (passive income), and 3) Government Transfers.
Earned income is the amount of money garnered by an individual through active work during the
course of the year. It includes personal wages, salaries, and profits by proprietors. Earned
income, for the purpose of calculating Total Personal Income, is derived from earnings by "place
of residence” (the county from which individuals file their personal income tax), not "place of
work."
All previous data regarding employment and earnings was based upon “place of work,” the
county where the job is actually located.
Passive income includes money earned from investments, rentals, bank interest, and private
retirement plans. It can be stock dividends or simply life insurance benefits. Data for passive
income is mainly gathered from personal income tax filings. It cannot be assumed an area's
economy benefits from high earnings in this component of the TPI, nor can it be presumed high
earnings in this category are a result of the condition of a local economy.
Government transfers are principally payments to individuals residing in the area from the
various federal, state, and local government “entitlement” programs. The largest of these
programs include 1) social security and disability programs, 2) medical payments (Medicare and
Medicaid), 3) income maintenance (welfare), 4) unemployment compensation, and 5) veterans
benefits.
From the ratio of the three components of Total Personal Income, certain characteristics of a
local economy can be deduced. Typically, areas, which have government transfers greater than
20% of the TPI, have a high retirement population (Social Security & Medicare), a distressed
economy (Medicaid and Income Maintenance), or a combination of both.
Areas in which Dividends, Interest, and Rents account for more than 22% of the TPI have a
resident population which is affluent (well invested), a high retirement population, or both.
Typically, strong economies have greater than 70% of the TPI attributed to earnings and less
than 12% for Government Transfers.
Over the last 30 years there has been a dramatic shift in the ratio of the three components.
Government Transfers have grown significantly in their influence on local economies.
Section 1 – Page 8
POLICOM
Pasco County, Florida
CORPORATION
The following chart shows the actual Total Personal Income and the percentage of each
component for Pasco County and the United States.
Pasco, FL
Total Personal Income (000)
Total Personal Income
2009
Area %
USA
13,790,695
Earnings By Residence
Government Transfers
Dividends, Interest, Rents
USA %
12,168,161,000
7,250,017
3,759,419
2,781,259
52.6%
27.3%
20.2%
7,843,321,000
2,131,880,000
2,192,960,000
64.5%
17.5%
18.0%
History of Percentage - Area
Earnings By Residence
Dividends, Interest, Rents
Government Transfers
2009
52.6%
20.2%
27.3%
1999
52.4%
23.0%
24.5%
1989
43.5%
32.0%
24.4%
1979
49.1%
28.1%
22.8%
History of Percentage - USA
Earnings By Residence
Dividends, Interest, Rents
Government Transfers
2009
64.5%
18.0%
17.5%
1999
68.7%
18.4%
12.9%
1989
67.9%
20.2%
11.9%
1979
74.0%
14.5%
11.5%
Total Personal Income (000) - Pasco, FL - 1978-2009
8,000,000
7,000,000
6,000,000
5,000,000
4,000,000
3,000,000
2,000,000
1,000,000
0
78 80
82 84
86 88
90 92
94 96
98 00
02 04
06 08
Section 1 – Page 9
Earnings
Gov Transfers
Dividends
POLICOM
Pasco County, Florida
CORPORATION
Government Transfers
Government Transfers, also known as “entitlement” programs, have grown enormously in the
United States over the last 25 years. In 2009, nationally total government transfers to individuals
exceeded the earnings of all workers in ten industrial sectors combined.
Typically Retirement and disability payments typically account for about half a local area’s
transfers. Medical transfers, principally Medicare and Medicaid (medical assistance for the poor)
represent the bulk of medical transfers. Income maintenance includes the nation’s “welfare
programs” such as Food Stamps.
High percentages of Retirement and Medical payments indicate the presence of a large number
of retirement age individuals. High percentages of Medical payments and Income Maintenance
indicate impoverishment. The Area % denotes the percentage each line is of all government
transfers.
Pasco, FL
Government Transfers (000)
2009
Total transfer payments
3,759,419
Ret. & disab. insurance benefit payments
Medical payments
Income maintenance benefit payments
Unemployment insurance benefit payments
Veterans benefit payments
Nonprofit institutions
1,489,979
1,486,110
273,998
141,949
139,939
50,568
Area %
2009
2,131,880,000
39.6%
39.5%
7.3%
3.8%
3.7%
1.3%
699,519,000
892,410,000
217,858,000
130,141,000
51,429,000
32,801,000
Government Transfers (000) - Pasco, FL - 1978-2009
1,600,000
1,400,000
1,200,000
1,000,000
800,000
600,000
400,000
200,000
0
78 80
82 84
86 88
90 92
94 96
98 00
02 04
06 08
Section 1 – Page 10
USA %
Retire
Medical
Inc Maint
Unemp
Veterans
Nonprof
32.8%
41.9%
10.2%
6.1%
2.4%
1.5%
POLICOM
Pasco County, Florida
CORPORATION
Per Capita Government Transfers
To better determine the relative impact Government Transfers have on the local area, the per
capita amount for each transfer has been determined. Medicare and Medicaid are the two largest
components of Medical transfers and are listed separately. Food Stamps and Family Assistance
are the two best known components of Income Maintenance and are shown separately.
Retirement is principally social security payments.
If the “2009 Area” exceeds that of the nation, then the area is receiving a greater percentage of
transfers for the category than the national norm.
Pasco, FL
Per Capita Government Transfers
2009 Area
2009 USA
3,159
2,422
689
581
301
297
181
29
1
2,279
1,629
1,250
710
424
168
178
65
40
Retirement
Medicare
Medicaid
Income Maintenance
Unemployment
Veterans
Food Stamps
Family Assistance
Farm Payments
Per Capita Government Transfers - Pasco, FL - 1978-2009
3,500
3,000
2,500
2,000
1,500
1,000
500
0
78 80
82 84
86 88
90 92
94 96
98 00
02 04
06 08
Section 1 – Page 11
Retirement
Medicare
Medicaid
Income Maint
Unemployment
Veterans
Food Stamps
Family Assist
Farm Payments
POLICOM
Pasco County, Florida
CORPORATION
Primary Industries Impact
Local economies grow and expand in direct proportion to the amount of money being imported
to the area. After it enters the economy, it is mixed and churned, going from business to
business, person to person, until it is finally totally absorbed and leaves the area. Money is
principally imported to an area by way of the “primary” or contributory industries located in the
economy. These businesses sell their goods or services outside the area, thus importing money
to the area.
Typically between 5% and 10% of the businesses in a community are primary in nature. The
balance of the businesses is “consumptive” and feed upon the money imported by the
contributory businesses.
Additionally, government entitlement programs can be contributory to an area if the money
being sent to a community for welfare, Medicare or Medicaid, or retirement benefits exceeds the
amount be extracted by way of taxation.
The graph below shows an estimate of the contribution each sector has upon the local economy.
Primary Industries - Percentage of Impact - Pasco, FL - 2009
60.0%
50.0%
40.0%
30.0%
20.0%
10.0%
0.0%
Retire-Med
Health
Manu
Retail
State Gov
Farm
Section 1 – Page 12
Military
Construct
Management
Utilities
POLICOM
Pasco County, Florida
CORPORATION
Construction Worker Earnings
Within the construction industry, there are three sub-sectors. Heavy contractors are principally
involved in the construction of large projects such as roadways, bridges, office buildings, or
factories. General contractors are mainly homebuilders, but also construct small commercial or
apartment buildings, and do renovation of existing structures.
Special trade contractors typically are subcontractors for both heavy and general contractors.
Known as the “trades,” they do most of the actual work on construction projects. Ranging from
earthmovers to plumbers to carpet layers to roofers, special trade contractors usually account for
more than half of the earnings in the construction industry. Many special trade contractors are
sole proprietors.
Pasco, FL
Construction - Worker Earnings (000)
2009
Total Earnings
330,778
Special Trade Contractors
Heavy Contractors
General Contractors
218,015
69,351
43,412
Area %
2009
477,797,000
65.9%
21.0%
13.1%
284,728,000
66,913,000
126,156,000
Construction - Worker Earnings (000) - Pasco, FL - 2001-2009
400,000
350,000
300,000
250,000
200,000
Trades
150,000
100,000
Heavy
50,000
0
2001 2002
2003 2004
2005 2006
2007 2008
2009
Section 1 – Page 13
USA
General
59.6%
14.0%
26.4%
POLICOM
Pasco County, Florida
CORPORATION
Manufacturing Earnings
The manufacturing sector is divided into two groups, durable and nondurable goods. Durable
goods, like their name suggests, are designed to last for a long period of time (minimum of three
years). Automobiles, machinery, computers, and washing machines are durable goods.
Nondurable goods typically have a short life span and are quickly consumed. Food, plastic cups,
paper, and clothing are examples. Wages paid in durable goods are typically much higher than
nondurable goods.
Manufacturing is composed of multiple sub-sectors. Since there are so many sub-sectors, data
suppression is frequent. Oftentimes in a local economy, one large employer might dominate a
particular category. As a result, the data for that category is withheld. While the data is
suppressed on the category level, the earnings for the suppressed categories are included in the
Total Earnings.
The Area % denotes the percentage each category is of the total earnings in manufacturing. Due
to data suppression, this column might not total 100%.
Pasco, FL
Manufacturing - Worker Earnings (000)
2009
Area %
2009
USA
Manufacturing
185,996
Durable goods manufacturing
Nondurable goods manufacturing
141,960
44,036
76.3%
23.7%
561,929,000
338,349,000
62.4%
37.6%
64,456
35,510
13,167
10,750
10,064
8,626
6,190
3,572
3,133
2,692
2,446
2,255
1,752
414
0
0
0
0
0
0
0
0
34.7%
19.1%
7.1%
5.8%
5.4%
4.6%
3.3%
1.9%
1.7%
1.4%
1.3%
1.2%
0.9%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
75,263,000
24,847,000
79,745,000
36,955,000
120,627,000
45,794,000
98,618,000
18,840,000
17,903,000
29,479,000
5,492,000
74,812,000
27,669,000
28,318,000
54,877,000
68,046,000
15,743,000
6,056,000
8,252,000
1,500,000
31,654,000
29,788,000
8.4%
2.8%
8.9%
4.1%
13.4%
5.1%
11.0%
2.1%
2.0%
3.3%
0.6%
8.3%
3.1%
3.1%
6.1%
7.6%
1.7%
0.7%
0.9%
0.2%
3.5%
3.3%
Machinery manufacturing
Nonmetallic mineral product manufacturing
Fabricated metal product manufacturing
Plastics and rubber products manufacturing
Computer and electronic product manufacturing
Miscellaneous manufacturing
Chemical manufacturing
Furniture and related product manufacturing
Wood product manufacturing
Printing and related support activities
Textile product mills
Food manufacturing
Primary metal manufacturing
Electrical equipment and appliance manufacturing
Motor vehicle manufacturing
Transportation equipment mfg. excl. motor vehicles
Beverage and tobacco product manufacturing
Textile mills
Apparel manufacturing
Leather and allied product manufacturing
Paper manufacturing
Petroleum and coal products manufacturing
Section 1 – Page 14
900,278,000
POLICOM
Pasco County, Florida
CORPORATION
Manufacturing - Worker Earnings (000) - Pasco, FL - 2001-2009
70,000
60,000
50,000
40,000
30,000
Machinery
Nonmetal
Fab Metal
Plastics
Computer
Misc
Chemical
Furniture
Wood
Printing
20,000
10,000
0
2001
2002
2003
2004
2005
2006
2007
2008
2009
Section 1 – Page 15
POLICOM
Pasco County, Florida
CORPORATION
Transportation and Warehousing - Earnings
The Transportation and Warehousing sector includes industries providing transportation of
passengers and cargo, warehousing and storage for goods, scenic and sightseeing transportation,
and support activities related to modes of transportation. Establishments in these industries use
transportation equipment or transportation related facilities as a productive asset.
The modes of transportation are air, rail, water, road, and pipeline. The Transportation and
Warehousing sector distinguishes three basic types of activities: subsectors for each mode of
transportation, a subsector for warehousing and storage, and a subsector for establishments
providing support activities for transportation.
The Area % denotes the percentage each group or category is of the total earnings in this sector.
Pasco, FL
Transportation and Warehousing - Earnings (000)
2009
Transportation and warehousing
72,052
Truck transportation
Support activities for transportation
Couriers and messengers
Transit and ground passenger transportation
Rail transportation
Water transportation
Air transportation
Pipeline transportation
Scenic and sightseeing transportation
Warehousing and storage
45,378
13,099
11,807
2,323
760
385
0
0
0
0
Area %
63.0%
18.2%
16.4%
3.2%
1.1%
0.5%
0.0%
0.0%
0.0%
0.0%
60,000
50,000
40,000
30,000
20,000
Truck
Support
Couriers
Transit
Rail
Water
Air
Pipeline
Scenic
Warehousing
0
2001
2002
2003
2004
2005
2006
2007
2008
2009
Section 1 – Page 16
USA
290,157,000
Transportation and Warehousing - Earnings (000) - Pasco, FL - 20012009
10,000
2009
95,450,000
38,850,000
30,765,000
18,642,000
18,932,000
6,794,000
36,258,000
12,021,000
1,202,000
31,243,000
32.9%
13.4%
10.6%
6.4%
6.5%
2.3%
12.5%
4.1%
0.4%
10.8%
POLICOM
Pasco County, Florida
CORPORATION
Retail Trade Earnings
The Retail Trade sector comprises establishments engaged in retailing merchandise, generally
without transformation, and rendering services incidental to the sale of merchandise. The
retailing process is the final step in the distribution of merchandise; retailers are, therefore,
organized to sell merchandise in small quantities to the general public.
Retail Trade is divided into multiple sub-sectors. The sub-sectors reflect the purchasing trends or
habits of the individuals.
The Area % denotes the percentage each category is that of the total earnings in this sector.
Pasco, FL
Retail Trade - Worker Earnings (000)
2009
Retail Trade
552,418
General merchandise stores
Food and beverage stores
Motor vehicle and parts dealers
Health and personal care stores
Building material and garden supply stores
Clothing and clothing accessories stores
Miscellaneous store retailers
Electronics and appliance stores
Gasoline stations
Furniture and home furnishings stores
Sporting goods, hobby, book and music stores
Nonstore retailers
121,266
115,158
109,543
57,587
42,384
25,356
18,500
16,534
15,850
10,685
10,134
9,421
Area %
22.0%
20.8%
19.8%
10.4%
7.7%
4.6%
3.3%
3.0%
2.9%
1.9%
1.8%
1.7%
140,000
120,000
100,000
80,000
60,000
General
Food
Vehicles
Health
Building Mat
Clothing
Misc.
Electronics
Gasoline
Furniture
Sporting Goods
Nonstore
20,000
0
2001
2002
2003
2004
2005
2006
2007
2008
2009
Section 1 – Page 17
USA %
525,110,000
Retail Trade - Worker Earnings (000) - Pasco, FL - 2001-2009
40,000
2009
80,072,000
86,235,000
90,214,000
43,255,000
45,635,000
35,068,000
29,708,000
24,552,000
26,138,000
18,615,000
16,237,000
29,381,000
15.2%
16.4%
17.2%
8.2%
8.7%
6.7%
5.7%
4.7%
5.0%
3.5%
3.1%
5.6%
POLICOM
Pasco County, Florida
CORPORATION
Finance and Insurance Earnings
The Finance and Insurance sector comprises establishments primarily engaged in financial
transactions and/or in facilitating financial transactions. Three principal types of activities are
identified: 1. Raising funds by taking deposits and/or issuing securities and, in the process,
incurring liabilities. 2. Pooling of risk by underwriting insurance and annuities. 3. Providing
specialized services facilitating or supporting financial intermediation, insurance, and employee
benefit programs.
This sector tends to mix or churn the money within a local economy. Many times insurance
carriers are “primary” in nature.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Finance and Insurance - Worker Earnings (000)
2009
Finance and insurance
Area %
2009
151,230
Credit intermediation and related activities
Insurance carriers and related activities
Monetary authorities - central bank
Securities, commodity contracts, investments
Funds, trusts, and other financial vehicles
608,246,000
71,029
61,044
0
0
0
47.0%
40.4%
0.0%
0.0%
0.0%
214,885,000
208,506,000
2,060,000
151,811,000
30,984,000
Finance and Insurance - Worker Earnings (000) - Pasco, FL - 20012009
90,000
80,000
70,000
60,000
50,000
40,000
30,000
20,000
10,000
Credit
0
2001
Insurance
2002
2003
Monetary
2004
2005
Securities
2006
Funds
2007
2008
Section 1 – Page 18
2009
USA %
35.3%
34.3%
0.3%
25.0%
5.1%
POLICOM
Pasco County, Florida
CORPORATION
Real Estate Earnings
The Real Estate and Rental and Leasing sector comprises establishments primarily engaged in
renting, leasing, or otherwise allowing the use of tangible or intangible assets, and establishments
providing related services. The major portion of this sector comprises establishments that rent,
lease, or otherwise allow the use of their own assets by others.
This sector also includes establishments primarily engaged in managing real estate for others,
selling, renting and/or buying real estate for others, and appraising real estate.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Real Estate - Worker Earnings (000)
2009
65,994
Area %
2009
151,989,000
USA %
Real estate
Rental and leasing services
Lessors of nonfinancial intangible assets
46,935
0
0
71.1%
0.0%
0.0%
114,842,000
34,632,000
2,515,000
75.6%
22.8%
1.7%
Real Estate - Worker Earnings (000) - Pasco, FL - 2001-2009
60,000
50,000
40,000
30,000
20,000
Real Estate
10,000
Rentals
0
2001 2002
2003 2004
2005 2006
2007 2008
2009
Section 1 – Page 19
Lessors
POLICOM
Pasco County, Florida
CORPORATION
Information Services
The Information sector comprises establishments engaged in the following processes: (a)
producing and distributing information and cultural products, (b) providing the means to transmit
or distribute these products as well as data or communications, and (c) processing data.
The main components of this sector are the publishing industries, including software publishing,
and both traditional publishing and publishing exclusively on the Internet; the motion picture and
sound recording industries; the broadcasting industries, including traditional broadcasting and
those broadcasting exclusively over the Internet; the telecommunications industries; the
industries known as Internet service providers and Web search portals, data processing
industries, and the information services industries.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Information - Worker Earnings (000)
2009
48,016
Area %
2009
299,885,000
USA %
Telecommunications
Publishing industries, except Internet
Other information services
Motion picture and sound recording industries
Broadcasting, except Internet
Internet publishing and broadcasts
ISPs, search portals, and data processing
29,024
7,612
3,785
3,617
0
0
0
60.4%
15.9%
7.9%
7.5%
0.0%
0.0%
0.0%
87,613,000
76,806,000
15,974,000
26,017,000
67,700,000
0
25,775,000
29.2%
25.6%
5.3%
8.7%
22.6%
0.0%
8.6%
Information - Worker Earnings (000) - Pasco, FL - 2001-2009
30,000
25,000
20,000
15,000
10,000
5,000
Telecommunications
Publishing
Other
0
2001
Motion Pictures
2002
Broadcasting
2003
2004
Internet
2005
2006
ISP's
2007
2008
2009
Section 1 – Page 20
POLICOM
Pasco County, Florida
CORPORATION
Healthcare
The Health Care and Social Assistance sector comprises establishments providing health care
and social assistance for individuals. The sector includes both health care and social assistance
because it is sometimes difficult to distinguish between the boundaries of these two activities.
The services provided by establishments in this sector are delivered by trained professionals. All
industries in the sector share this commonality of process, namely, labor inputs of health
practitioners or social workers with the requisite expertise. Many of the industries in the sector
are defined based on the educational degree held by the practitioners included in the industry.
Data suppression is common for “Hospitals” if there is one major hospital in an area.
Additionally, a hospital owned by local or state government is not included in this section.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Health Care and Social Assistance - Earnings (000)
2009
945,514
Area %
2009
971,286,000
USA %
Ambulatory health care services
Hospitals
Nursing and residential care facilities
Social assistance
527,445
234,661
124,298
59,110
55.8%
24.8%
13.1%
6.3%
472,069,000
305,499,000
106,213,000
87,505,000
48.6%
31.5%
10.9%
9.0%
Health Care and Social Assistance - Earnings (000) - Pasco, FL 2001-2009
600,000
500,000
400,000
300,000
200,000
100,000
0
2001
Ambulatory
2002
2003
Hospitals
2004
2005
Nursing Homes
2006
2007
Social
2008
Section 1 – Page 21
2009
POLICOM
Pasco County, Florida
CORPORATION
Arts and Entertainment
The Arts, Entertainment, and Recreation sector includes a wide range of establishments that
operate facilities or provide services to meet varied cultural, entertainment, and recreational
interests of their patrons. This sector comprises (1) establishments that are involved in
producing, promoting, or participating in live performances, events, or exhibits intended for
public viewing; (2) establishments that preserve and exhibit objects and sites of historical,
cultural, or educational interest; and (3) establishments that operate facilities or provide services
that enable patrons to participate in recreational activities or pursue amusement, hobby, and
leisure-time interests.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Arts, Entertainment, and Recreation - Earnings (000)
2009
45,149
Area %
2009
98,329,000
USA %
Amusement, gambling, and recreation
Performing arts and spectator sports
Museums, historical sites, zoos, and parks
34,360
0
0
76.1%
0.0%
0.0%
37,861,000
55,807,000
4,661,000
38.5%
56.8%
4.7%
Arts, Entertainment, and Recreation - Earnings (000) - Pasco, FL 2001-2009
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
0
2001
2002
Amusement
2003
2004
Arts & Sports
2005
2006
Museums
2007
2008
2009
Section 1 – Page 22
POLICOM
Pasco County, Florida
CORPORATION
Accommodations and Food Services
The Accommodation and Food Services sector comprises establishments providing customers
with lodging and/or preparing meals, snacks, and beverages for immediate consumption. The
sector includes both accommodation and food services establishments because the two activities
are often combined at the same establishment. Excluded from this sector are civic and social
organizations; amusement and recreation parks; theaters; and other recreation or entertainment
facilities providing food and beverage services.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Accommodation and Food Services - Earnings (000)
2009
193,442
Area %
2009
260,671,000
USA %
Food services and drinking places
Accommodation
162,387
31,055
83.9%
16.1%
198,028,000
62,643,000
76.0%
24.0%
Accommodation and Food Services - Earnings (000) - Pasco, FL 2001-2009
180,000
160,000
140,000
120,000
100,000
80,000
60,000
40,000
20,000
0
2001
2002
2003
2004
Food & Drink
2005
2006
Hotels
2007
2008
2009
Section 1 – Page 23
POLICOM
Pasco County, Florida
CORPORATION
Other Services
The Other Services (except Public Administration) sector comprises establishments engaged in
providing services not specifically provided for elsewhere in the classification system.
Establishments in this sector are primarily engaged in activities, such as equipment and
machinery repairing, promoting or administering religious activities, grant making, advocacy,
and providing dry-cleaning and laundry services, personal care services, death care services, pet
care services, photofinishing services, temporary parking services, and dating services. Private
households that engage in employing workers on or about the premises in activities primarily
concerned with the operation of the household are included in this sector.
The Area % denotes the percentage of earnings the category is of the total earnings in this
industry.
Pasco, FL
Other Services - Worker Earnings (000)
2009
294,206
Area %
2009
320,041,000
USA %
Membership associations and organizations
Personal and laundry services
Repair and maintenance
Private households
137,663
73,043
71,178
12,322
46.8%
24.8%
24.2%
4.2%
126,323,000
89,553,000
86,926,000
17,239,000
39.5%
28.0%
27.2%
5.4%
Other Services - Worker Earnings (000) - Pasco, FL - 2001-2009
140,000
120,000
100,000
80,000
60,000
40,000
20,000
0
2001
Membership
2002
2003
Personal
2004
2005
Repair
2006
Private Household
2007
2008
Section 1 – Page 24
2009
POLICOM
Pasco County, Florida
CORPORATION
Government – Earnings (000)
Nationally, government workers account for approximately 17% of all worker earnings. While
virtually all local economies have at least a small presence of federal and state workers, areas
which have a high percentage of either typically benefit economically. Usually state and federal
government pay a wage higher than an area’s average wage.
Local government typically includes county, city, and school employees along with most
regional governments.
The Area % denotes the percentage each line is of all government earnings.
Pasco, FL
Government - Earnings - (000)
2009
All Government
940,566
Local
Federal Civilian
State
Military
751,288
78,733
65,229
45,316
Area %
2009
1,606,571,000
79.9%
8.4%
6.9%
4.8%
826,399,000
298,116,000
310,507,000
171,549,000
Government - Earnings - (000) - Pasco, FL - 1978-2009
800,000
700,000
600,000
Local
500,000
400,000
Federal
300,000
200,000
State
100,000
0
01 02
03 04
Military
05 06
07 08
09
Section 1 – Page 25
USA %
51.4%
18.6%
19.3%
10.7%
POLICOM
Pasco County, Florida
CORPORATION
Farm Receipts
Even though most metropolitan areas are “urbanized,” there is still some agricultural activity in
most areas.
The graph shows the gross agricultural receipts for livestock and crops ($000).
Farm Receipts (000) - Pasco, FL - 1980 - 2009
$000
120,000
100,000
80,000
60,000
40,000
20,000
0
Crops
2008
2006
2004
Section 1 – Page 26
2002
Livestock
2000
1998
1996
1994
1992
1990
1988
1986
1984
1982
1980
Total Cash Receipts
POLICOM
Pasco County, Florida
CORPORATION
Section 2
CPI Earnings Factored
Pasco, FL - 1980 - 2009
3800
3300
2800
2300
1800
1300
800
08
06
04
02
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
WK MET
Level of the Economy
Pasco County, Florida
POLICOM
Pasco County, Florida
CORPORATION
Level of the Economy
Section 1 statistically and visually identified the elements of the economy relating to each
industry’s proportion of contribution, growth, and consistency. Section 2 examines the level of
the economy as it pertains to growth in “quality and size” relative to the people living and
working in the area. In this Section, the area is statistically compared to the state, the nation, and
the ten strongest and weakest Metropolitan or Micropolitan area economies in the United States.
POLICOM Corporation ranks the 366 Metropolitan (METRO) areas and the 576 Micropolitan
(MICRO) areas for “Economic Strength.” Economic Strength is the “long term tendency for an
area to consistently grow in both size and quality.” After determining the strongest and weakest
areas, the characteristics of each are studied. Some of the results of that study are included in
this Section as the averages for the ten strongest and the ten weakest economies are used for
comparison.
The following are the ten strongest and weakest METROS and MICROS based upon the 2011
POLICOM rankings. 1
2011 Ten Strongest - 366 Metropolitan Areas
1
2
3
4
5
6
7
8
9
10
Washington-Arlington, VA
Salt Lake City, UT
Seattle-Tacoma-Bellevue, WA
Austin-Round Rock-San Marcos, TX
Houston-Sugar Land-Baytown, TX
Des Moines-West Des Moines, IA
Olympia, WA
Nashville, TN
Denver-Aurora-Broomfield, CO
Sioux Falls, SD
2011 Ten Strongest - 576 Micropolitan Areas
1
2
3
4
5
6
7
8
9
10
Durango, CO
Helena, MT
Gillette, WY
Concord, NH
Lexington Park, MD
Hilton Head Island-Beaufort, SC
Bozeman, MT
Lebanon, NH-VT
Edwards, CO
Kahului-Wailuku, HI
2011 Ten Weakest - 366 Metropolitan Areas
2011 Ten Weakest - 576 Micropolitan Areas
366
365
364
363
362
361
360
359
358
357
576
575
574
573
572
571
570
569
568
567
Danville, IL
Anderson, IN
Danville, VA
Mansfield, OH
Springfield, OH
Steubenville-Weirton, OH-WV
Muncie, IN
Bay City, MI
Muskegon-Norton Shores, MI
Flint, MI
Decatur, IN
Valley, AL
Lamesa, TX
Kennett, MO
Silver City, NM
Helena-West Helena, AR
Tallulah, LA
Fitzgerald, GA
Indianola, MS
Clarksdale, MS
To visually compare the growth of the economy of the area to the rest of the nation, much of the
data is “factored.” This simply means the data for all the areas is statistically brought to a
common denominator for direct visual comparison. All areas can be compared, apples to apples,
on the same graph.
The mathematics is rather simple. First, the annual percentage increase from the previous year is
calculated for each year of the study term (the term in this Section is from 1980 through 2009).
1
For the Economic Strength Rankings for all Metropolitan and Micropolitan areas please go to www.policom.com.
Section 2 – Page 1
POLICOM
Pasco County, Florida
CORPORATION
Second, the annual percentage increase is multiplied by the same number or factor for each area.
It does not matter what number it is, as long as it is the same number for all areas. POLICOM
chooses 1000 as the factor beginning.
Some of the data is adjusted for inflation prior to the factoring process (CPI). Earnings and
wages are brought to the value of the 2009 dollar, then the growth percentages are calculated,
then the data is factored.
The year “1980” serves as the basis year. All areas begin at 1000 at this point. Where they wind
up is determined by their respective percentage increase.
This process is similar to the start of a track race. Every runner begins at the same spot. By
factoring the data, direct, visual comparisons can be made. The following are the categories
examined in detail in the section:
Annual Earnings Per Worker - Wages
CPI Adjusted Wages
% of Gain of the Wages
CPI Factored Wages
Factored Comparisons – Population, Earnings, Employment
Population – Factored Comparisons
Earnings – CPI Factored
Employment – Factored
Per Capita Personal Income – CPI Factored
Government Transfers
Section 2 – Page 2
POLICOM
Pasco County, Florida
CORPORATION
Annual Earnings per Worker (Wages)
One of the best means to measure the “quality” of a local economy is to examine the growth in
the Annual Earnings per Worker (Wages). The annual earnings by people in an area, and
respective growth, establishes the level of their “standard of living.” How much money they
earn each year determines the quality of their housing, the food they eat, the amount of taxes
they can pay, and the size of their savings or retirement account.
Earl Nightingale, the famous writer and philosopher, was fond of saying, “there is nothing more
important than money… for those things for which money is intended.”
Since the amount of money people are paid each year, for the vast majority of the people,
determines their lifestyle and standard of living, the annual earnings per worker will be examined
thoroughly for the area.
The following graph shows the actual Wages for Pasco County, the state, and the nation from
1980 to 2009.
Pasco, FL - 1980 - 2009
Wages
60,000
50,000
40,000
30,000
20,000
10,000
0
USA
08
06
04
Section 2 – Page 3
02
Florida
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
CPI Adjusted Annual Wages
The previous graph showed the actual Wages for the area. While the growth trend could be
visualized, it is difficult from that graph to identify relative improvement in Wages. Due to
inflation over the years, the value of the earnings in 2009 is different from the value in previous
years. If an area gained 3% in one year while inflation was 5%, the value of the Wages, or
quality of the growth, actually declined.
To determine if the quality of the economy has grown, Wages need to be adjusted for inflation.
Using published inflation information provided by the Bureau of Economic Analysis, the Wages
for each year were brought to the value of the 2009-dollar. By adjusting for inflation, we can
determine if the quality of the economy has actually improved over the course of time. The
graph below shows the actual Wages along with the CPI Adjusted Wages. Every economy
dipped during the high inflationary period in the late 70’s and early 80’s.
The adjusted line shows the “real” growth in the quality of the economy relative to inflation.
Note whether or not the area’s adjusted wage in 2009 is higher than the 1980 level.
Unfortunately, there are many economies in the country in which it is not. Also note the line
pattern for the last ten years. Is it declining, flat, or increasing? This represents the trend for the
quality of the economic growth for the area by this measure.
Pasco, FL - 1980 - 2009
Wages
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
0
08
06
CPI - Wages
04
02
00
98
Section 2 – Page 4
96
94
92
90
88
86
84
82
80
Wages
POLICOM
Pasco County, Florida
CORPORATION
% the Area Wage Is of …
Having now determined if the quality of the economy has grown, stayed the same, or declined,
based upon the CPI-Wages, it is important to discover if this pattern is unusual, good, or bad
relative to rest of the nation. Has the quality of the growth in Pasco County gained or lost
ground relative to the state or the nation?
Since the cost of living varies among areas in the country, comparing the actual Wages is not
statistically valid. An individual earning $30,000 per year in a rural county in Kansas has much
more purchasing power than an individual earning the same amount of money living in New
York City. Therefore, other methods are used to make comparisons.
The first method of comparison is to calculate the percentage the Pasco County unadjusted
Wages are of the state and the USA. For each year, Wages were divided by the Wages for the
state and the nation. As an example, if the area’s Wages for 2009 were $25,000 and the state’s
Wages were $26,000, the percentage of the area’s Wages of the state’s would be 96%.
By doing this calculation for all of the years, a pattern or trend can be determined. The question
is: “Has the quality of the economy gained or lost versus the state or nation?”
If, in one year, the area’s Wages were 90% of the state’s, and the next year they were 92%, the
area gained against the state. However, if the following year the area’s Wages were 88% of the
state, then it did not improve as much as the state.
The first graph on the following page shows the percentage the Pasco County average Wage is of
the state and the USA for each year. The second graph shows the percentage the Wages are of
the USA along with the average of the strongest 10 economies and the weakest 10 economies.
Each time the line goes up, the area gained, when it goes down, it lost.
Section 2 – Page 5
POLICOM
Pasco County, Florida
CORPORATION
Pasco, FL - 1980 - 2009
% of USA Wages
120%
110%
100%
90%
80%
70%
60%
50%
08
06
04
02
00
98
96
94
92
90
88
86
84
82
80
% of State Wages
% of USA Wages
Pasco, FL - 1980 - 2009
% of USA Wages
110%
100%
90%
80%
70%
60%
50%
WK MET
08
06
04
02
Section 2 – Page 6
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
CPI Factored Wages
Finding the percentage the area’s Wages are of the state and the nation is one method to
determine the relative growth or decline of the quality of the economy. A second method is to
review the CPI Factored Wages. (See “Factored Data” in the beginning of this Section for an
explanation of this concept.)
By factoring the inflation adjusted Wages for each area, we can visually compare the growth of
the quality of each economy.
Beginning at the same starting point in 1980 (1000), the CPI Factored Wages demonstrates the
level of the quality of the economy to 2009. Remember communities suffered a decline in
quality during the high inflationary period of the 1980’s.
The first graph compares Pasco County to the state and the USA and the second graph compares
it to the ten strongest and weakest economies in the nation.
Note how the strongest areas have a level significantly higher in 2009 than in 1980 and the
weakest significantly lower.
Section 2 – Page 7
POLICOM
Pasco County, Florida
CORPORATION
CPI Factored Wages
Pasco, FL - 1980 - 2009
1300
1250
1200
1150
1100
1050
1000
950
900
850
800
08
06
Florida
04
02
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
USA
Pasco, FL - 1980 - 2009
CPI Factored Wages
1400
1300
1200
1100
1000
900
800
WK MET
08
06
04
02
Section 2 – Page 8
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
Factored Comparisons – Population, Earnings, Employment
The previous graphs measured and compared the “quality” of the economic growth for Pasco
County. The following discusses the “size or volume” of the economic growth. Growth in size
is reflected in the growth of total earnings, total employment and the relationship to the growth
of the population.
The growth rates for population, CPI adjusted earnings, and employment have been factored for
the following graphs for direct comparison. Three important characteristics should be noted
when studying the following graphs. In strong economies: 1) both lines for earnings and
employment will be increasing, 2) the rate of growth of population should be slower than the
growth of both earnings and employment, and 3) the rate of growth for earnings should be higher
or be “pulling away” from the growth line for employment.
Graphs for both the Strongest and Weakest METROS and MICROS are provided on the
following pages for visual comparison.
Pasco, FL - 1980 - 2009
2800
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
Employment
08
06
04
02
Section 2 – Page 9
00
Earnings
98
96
94
92
90
88
86
84
82
80
Population
POLICOM
Pasco County, Florida
CORPORATION
Metropolitan Areas
STR MET
2800
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
08
06
04
Earnings
02
00
98
96
94
92
90
88
86
84
82
80
Population
Employment
WK MET
2800
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
08
Employment
06
04
02
Section 2 – Page 10
00
Earnings
98
96
94
92
90
88
86
84
82
80
Population
POLICOM
Pasco County, Florida
CORPORATION
Micropolitan Areas
STR MICRO
3200
3000
2800
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
08
06
04
Earnings
02
00
98
96
94
92
90
88
86
84
82
80
Population
Employment
WK MICRO
2800
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
08
Employment
06
04
02
Section 2 – Page 11
00
Earnings
98
96
94
92
90
88
86
84
82
80
Population
POLICOM
Pasco County, Florida
CORPORATION
Population
It is a characteristic of strong economies to grow in population, but not all areas, which have
grown significantly in population, have strong economies. However, the strongest economies
typically do not have the fastest population growth rate in the United States.
Of the 50 strongest metropolitan areas, only 15 are among the 50 fastest growing areas in
population over the five-year period from 2005 to 2009.
Overall, it is a characteristic of weak economies to have extremely slow population growth or
actual population decline.
Growth in population, however, is a natural occurrence in strong economies. As a result of
quality employment opportunities, fewer young people leave the area to seek a career, choosing
to remain “at home” to start their families. Additionally, there is in-migration of others to the
strong areas, typically from weak economies, because of the economic opportunities.
The reverse is the case for weak economies. Residents many times have to move from their
homes to other areas to find basic employment. For highly educated and skilled individuals, they
leave as quality “career” jobs many times to not exist in the weak areas.
An area will grow in population for three reasons: 1) a strong economy, 2) in-migration of nonworking individuals (typically retirees), and 3) immigration from a foreign country.
Section 2 – Page 12
POLICOM
Pasco County, Florida
CORPORATION
Population Factored
Pasco, FL - 1980 - 2009
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
08
06
Florida
04
02
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
USA
Pasco, FL - 1980 - 2009
Population Factored
2600
2400
2200
2000
1800
1600
1400
1200
1000
800
WK MET
08
06
04
02
Section 2 – Page 13
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
CPI Factored Earnings
One of the two best ways to measure the growth in the size of the economy is to examine the
total Earnings in the area. Earnings are the volume of money being moved throughout the
economy via the various industries through wages paid to workers and the earnings of small
business proprietors. Please see Section 1 for the meaning of Earnings.
The relative growth of Earnings demonstrates the increase in the volume of the economy. Total
Earnings have been adjusted for inflation just like Wages to create the CPI Adjusted Earnings.
The CPI Adjusted Earnings were then factored.
On the following graphs, the CPI Factored Earnings are compared to the state and nation and to
the strongest and weakest economies.
Note how the strongest economies have had smooth, consistent growth in the quantity of their
Earnings while the weakest areas have basically had no relative growth for the last fifteen years.
Section 2 – Page 14
POLICOM
Pasco County, Florida
CORPORATION
CPI Earnings Factored
Pasco, FL - 1980 - 2009
3800
3300
2800
2300
1800
1300
800
CPI Earnings Factored
08
Florida
06
04
02
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
USA
Pasco, FL - 1980 - 2009
3800
3300
2800
2300
1800
1300
800
08
WK MET
06
04
02
Section 2 – Page 15
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
Employment - Factored
A second, corresponding way to measure the growth in the size of the economy is to examine the
total Employment in the area. Employment is the number of people moving the money
throughout the economy via the various industries. Please see Section 1 for the meaning of
Employment.
As with Earnings, the growth of Employment demonstrates the increase in the size of the
economy. Total Employment is not affected by inflation and has not been adjusted for changes
in CPI. The growth rate for employment has been factored for comparison.
On the following graphs, the Factored Employment is compared to the state and nation and to the
strongest and weakest economies.
Note how the strongest economies have had a smooth consistent growth in the quantity of their
employment. The weakest areas have had some increase in the number of jobs over the last
fifteen years, but the increase is extremely low.
Section 2 – Page 16
POLICOM
Pasco County, Florida
CORPORATION
Employment Factored
Pasco, FL - 1980 - 2009
3300
2800
2300
1800
1300
800
Employment Factored
08
Florida
06
04
02
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
USA
Pasco, FL - 1980 - 2009
3300
2800
2300
1800
1300
800
WK MET
08
06
04
02
Section 2 – Page 17
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
Per Capita Personal Income – CPI Factored
Per Capital Personal Income (PCPI) is the Total Personal Income for the area divided by the
resident population (mid-year population estimate). Please see Section 1 for an explanation of
Total Personal Income (TPI).
Growth in PCPI has been a traditional method of measuring the growth in the quality of an
economy but should be used with trepidation. Due to the methods used to calculate both TPI and
PCPI, the results can be very misleading regarding the condition of the local economy.
As stated in Section 1, TPI has three components: 1) earnings by place of residence, 2) passive
income, and 3) government transfers.
Data for the first two is collected from personal income tax. When an individual files personal
income tax, the individual identifies a county of residence. It is to this county the individual’s
earnings and passive income is credited. Some states have tax policies which encourage out of
state individuals to own a second home in the state, claim the state as their legal residence, and
file their income tax from that state, even though the income was actually earned in another state.
This practice increases the TPI for county and state of declared residence while the income has
nothing to do with the local economy.
Additionally, distressed areas typically grow in the amount of Government Transfers related to
aiding the poor, such as Medicaid and income maintenance payments. Once again, the TPI
increased, but only because the economy is weak, not strong.
Another distortion can occur due to population anomalies. The presence of a prison or a large
university in the area can increase the population count, diluting the PCPI.
The PCPI has been adjusted for inflation and factored. On the following graphs, note the line for
the strongest areas is similar to the growth line for CPI Factored Wages. However, for the
weakest areas, the line has gone up, while their CPI Factored Wages went down. This
phenomenon can be explained by examining Government Transfers.
Section 2 – Page 18
POLICOM
Pasco County, Florida
CORPORATION
Pasco, FL - 1980 - 2009
CPI Factored PCPI
1700
1600
1500
1400
1300
1200
1100
1000
900
800
08
Florida
06
04
02
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
USA
Pasco, FL - 1980 - 2009
CPI Factored PCPI
1700
1600
1500
1400
1300
1200
1100
1000
900
800
WK MET
08
06
04
02
Section 2 – Page 19
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
Government Transfers
From the previous graphs for CPI Factored PCPI, it was discovered the weakest economies grew
in this category while declining in CPI Factored Wages. This can be attributed to the growth of
Government Transfers. Please see Section 1 for an explanation of Government Transfers.
The percentage Government Transfers are of the Total Personal Income not only is an indication
of the strength of a local economy, but also can be one of the causes of the condition of the
economy. When Government Transfers are spent, the money typically enters the economy in
either the Services or Retail sectors. Services and Retail are typically two of the lowest paying
employment sectors in a local economy. Areas with a high percentage of Government Transfers
have a much greater proportion of the workforce employed in the lowest paying sectors of the
economy than areas with a lower percentage of Government Transfers.
Areas with a high percentage of Government Transfers have 1) a large portion of the population
over the age of 65, 2) high economic distress, or 3) a combination of both.
It was noted in Section 1 – Total Personal Income, that it is a characteristic of strong economies
to have a relatively low percentage of Government Transfers as a component of TPI and a high
percentage attributed to Earnings. The opposite is true for weak economies.
The first of graphs show the annual percentage Government Transfers are of TPI. Note how in
the weakest areas this percentage has grown since 1980.
The stacked bar graphs, which follow, demonstrate the shift from 1980 to 2009 in the
composition of TPI. Graphs are provide for both METRO and MICRO areas. Note how the
strong economies have maintained a large percentage of TPI attributed to earnings by residence
and a small percentage of Government Transfers, while the reverse is true for the weak areas.
Section 2 – Page 20
POLICOM
Pasco County, Florida
CORPORATION
Government Transfers - % of TPI
Pasco, FL - 1980 - 2009
30%
25%
20%
15%
10%
5%
0%
Government Transfers - % of TPI
08
Florida
06
04
02
00
98
96
94
92
90
88
86
84
82
80
Pasco, FL
USA
Pasco, FL - 1980 - 2009
30%
25%
20%
15%
10%
5%
0%
WK MET
08
06
04
02
Section 2 – Page 21
00
STR MET
98
96
94
92
90
88
86
84
82
80
Pasco, FL
POLICOM
Pasco County, Florida
CORPORATION
Total Personal Income
Pasco, FL
27%
23%
20%
31%
53%
46%
2009
1980
Earn
Div
Trans
Total Personal Income
USA
12%
18%
16%
18%
72%
64%
2009
1980
Earn
Div
Section 2 – Page 22
Trans
POLICOM
Pasco County, Florida
CORPORATION
Metropolitan Areas
Total Personal Income
STR MET
9%
13%
16%
17%
75%
70%
2009
Earn
1980
Div
Trans
Total Personal Income
WK MET
15%
28%
14%
14%
71%
57%
2009
Earn
1980
Div
Trans
Section 2 – Page 23
POLICOM
Pasco County, Florida
CORPORATION
Micropolitan Areas
Total Personal Income
STR MICRO
10%
14%
17%
21%
73%
66%
2009
1980
Earn
Div
Trans
Total Personal Income
WK MICRO
20%
34%
17%
15%
63%
51%
2009
1980
Earn
Div
Section 2 – Page 24
Trans
POLICOM
Pasco County, Florida
CORPORATION
Section 3
Comparative Analysis
Growth – Stability - Impact
Pasco County, Florida
POLICOM
Pasco County, Florida
CORPORATION
Comparative Analysis - Introduction
The author Robert Burns wrote, "Oh would some power the Giftie give us to see ourselves as
others see us." Having proper perspective is very important. This is one of the features of the
“Comparative Analysis” section of this report.
The comparison method has been chosen since the importance and relevance of economic
growth percentages has always been somewhat subjective.
As an example, an area might have a 2% increase in employment for a given year and the local
newspaper reports this fact. One reader might interpret the 2% figure as "great." Since
employment went up, things must be good. Another reader however looks at the 2% as a modest
gain and feels the local economy needs a "jump start." With the 2% number just dangling,
community leaders have no alternative but to give subjective opinions to its relevance.
By comparing the growth rate to the rest of the nation in a uniform and consistent manner, the
numbers gain much more meaning. If it is discovered the 2% rate happened to be either the
fastest or slowest rate in the nation, community leaders have a much better perspective of the
condition of their local economy.
Not only is it important to study the growth rate of the economic elements of an area, but it is
equally important to examine how and in what manner the growth occurred. Some areas grow,
or decline, in a consistent manner. Others have boom, bust cycles. The stability of the growth is
a reflection of the character of the economy.
In this section, the growth rate, the stability, and the economic importance of sixty-six items are
calculated and compared to the rest of the nation. From this information, the reader can
determine the most or least important elements of the economy and discover if they are growing
or declining relative to the rest of the nation.
Section 3 – Page 1
POLICOM
Pasco County, Florida
CORPORATION
Guide to Understanding the Data - Methodology
Two “data sets” are used for the comparative analysis.

Data Set 1 – All Years includes economic information which has been collected using the
same methodology since at least 1970. Included are 42 items for which the annual growth
rate has been calculated and ranked for the five years from 2005 – 2009, the ten years from
2000 to 2009, and the previous ten years from 1990 to 1999. Short and long term trends can
be reviewed using this data set.

Data Set 2 – NAICS Industry Data includes the most recently published industry data
based upon the North American Industrial Classification System. Data was first collected
under the NAICS system in 2001. For each of the 24 NAICS industrial sectors, the
employment, earnings, and wage growth has been calculated and ranked.
AAI – Economic Growth
Economic Growth is the rate of increase or decrease of the item. Growth rates are shown as a
percentage of increase. For all data sets, the Average Annual Increase (AAI) has been calculated
for the various time periods. The mathematics for this calculation is rather simple. For each year
of the study period, the percentage increase from the previous year is calculated and averaged for
the term.
DF – Economic Stability
Areas grow and decline economically in different manners and at different rates. Local
economies are subject to rapid shifts. Due to changes in the strength of the primary industries
which support the area, local economies can rise and fall, boom and bust, from year to year.
Simply identifying the areas that have highest or lowest growth rates is insufficient. The rate,
consistency, or stability of the growth is equally important.
Areas with unstable, boom and bust economies are difficult places to conduct business.
Residents of the area are subject to economic uncertainty and stress. A merchant may lease extra
floor space following three or four great years, only to go bankrupt after a subsequent economic
decline. Residents might make long term financial commitments based upon rapid increases in
earnings and employment growth, only to loose everything due to a sudden downturn causing
massive layoffs.
Since the concept of measuring the consistency or stability of economic growth is so important,
it is appropriate to examine this measurement in greater detail so the information provided in the
data sets can be thoroughly understood.
To better understand the nature of economic stability, we will examine the consistency of the
construction industry for three areas which had the same average annual percentage increase.
Section 3 – Page 2
POLICOM
Pasco County, Florida
CORPORATION
The first graph depicts a Mythical Area,
which had an Average Annual Percentage
Increase (AAI) in Construction Jobs of 2.5%
from 2001 through 2009 (2001 is the first
year NAICS based data was published).
Mythical Area had a 2.5% increase from
2002 to 2003. From 2003 to 2004 it again
had a 2.5% increase. Each and every year,
the area increased exactly 2.5%. This means
construction employers, each and every year,
increased the number of people they
employed by 2.5%.
Construction Jobs - AAI 2.5%
25.00%
20.00%
15.00%
10.00%
5.00%
0.00%
2001
2002
2003
2004
2005
2006
2007
2008
2009
-5.00%
-10.00%
-15.00%
-20.00%
-25.00%
Mythical Area
As a result, by averaging the nine-year
history, the Mythical Area, obviously, had a 2.5% average annual percentage increase (AAI).
Most importantly, the area had perfect consistency as depicted by the straight horizontal line on
the graph. The flow of money into the area, which supports this industry, grew in an absolutely
consistent manner. This is a perfect situation. However, this is myth, not reality.
Let us examine the economic stability of the Great Falls, MT MSA for the same element. Great
Falls, during the same nine years had an AAI in Construction Jobs of 2.5%. This rate of growth
ranked 35th highest among the 366 metropolitan areas for the nine-year period.
The graph shows the percentage increase or decline each year. You can see the rate of growth is
not absolutely stable.
While over the nine years it averages 2.5%,
there are obvious fluctuations year by year.
From 2001-2002, there was a 7.5% decline in
construction employment. The next year a
6.2% increase. The next year a 6.3%
increase, so on and so forth.
Construction Jobs - AAI 2.5%
25.00%
20.00%
15.00%
10.00%
5.00%
0.00%
2001
For the nine years, the average of the annual
increases is 2.5%. However, the rate of
growth is not nearly as stable as the Mythical
Area. The growth line is not straight but goes
up and down.
2002
2003
2004
2005
2006
2007
2008
2009
-5.00%
-10.00%
-15.00%
-20.00%
-25.00%
Great Falls, MT MSA
Mythical Area
While the rate of growth of Construction
Jobs for Great Falls is not absolutely consistent, it is considerably more stable than the Sebastian
– Vero Beach, FL metropolitan area.
As with Great Falls and the Mythical Area, Sebastian – Vero Beach had an average annual
increase of 2.5% over the nine years. As you can see in the graph, the rate of growth was
extremely volatile.
Section 3 – Page 3
POLICOM
Pasco County, Florida
CORPORATION
From 2001-2002, the Sebastian – Vero
Beach area gained 11%, the next year gained
21%, then 14% then 20%. However, in 2007
it lost 16% of its construction jobs, then
15%, then 21%.
Construction Jobs - AAI 2.5%
25.00%
20.00%
15.00%
10.00%
5.00%
Yes, the average of all of these years is 2.5%.
How it happened is considerably different
than Great Falls.
Obviously, simply relying upon economic
growth percentages is not sufficient in order
to determine the character of a local
economy. Economic stability must be
considered.
0.00%
2001
2002
2003
2004
2005
2006
2007
2008
2009
-5.00%
-10.00%
-15.00%
-20.00%
-25.00%
Mythical Area
Great Falls, MT MSA
Sebastian-Vero Beach, FL MSA
To measure economic stability, the difference or deviation in each successive year's percentage
of growth is calculated (absolute number) and averaged, creating the Average Deviation from
Previous Year (DEV).
To determine the measurable consistency of growth, the DEV is subtracted from the AAI. This
number is used for POLICOM's economic strength rankings. Inconsistent economies area ranked
lower than consistent economies.
AVG – Average for the Term
For each of the three time periods, the Average of the actual data for the item is provided. As an
example, for “Construction – Earnings” the AVG would be the amount of actual earnings by
those employed in Construction over the time period. If over the 5-Year Term, the earnings for
the individual years were $500,000,000, $550,000,000, $600,000,000, $650,000,000, and
$700,000,000 respectively, the average for the term would be $600,000,000.
The actual data for each item for the most recent year and 20 years prior is provided.
% - Percentage of Importance
The percentage (%) the item is of the area economy is provided when it is appropriate. This
represents the weight or importance the item is in the economy. By studying these percentages,
you can determine which of the items have the greatest or least impact upon your economy. One
item might have extremely high growth rates within the economy, but its percentage of the
economy might be so low that it is insignificant.
The percentage (%) is calculated by taking the AVG data for a time period and dividing it by the
total for the area of the respective general category.
As an example, if “Construction – Earnings” averaged $600,000,000 for the 5-Year Term and
the average of the “Earnings – All Workers” for the area was $7,500,000,000, then the earnings
Section 3 – Page 4
POLICOM
Pasco County, Florida
CORPORATION
by those employed in Construction represents 8% of all the earnings in the area, on average, for
the five years.
For the most recent and earliest years, once again actual data is used and the percentage is for
each respective year. There is a footnote under each page explaining what the percentage
represents for each item.
By comparing the “%” to the nation and the comparison areas, you can determine if some
industries in your economy are abnormally high or low relative to the composition of the
economy.
Rank
For each calculation, following AAI, DF, AVG, and %, there is a Rank. Rank is the direct
comparison of each element to either the 366 defined Metropolitan Areas or the 576
Micropolitan Areas in the United States. The Rank provides the relative position each element is
to the rest of the nation.
From the Rank, you can determine if the growth for the area is high or low, the stability good or
bad, the relative size of the economy (AVG), and how the composition of the economy (%)
compares to other economies in the United States.
To determine the Rank, data for each of the 366 metropolitan areas and/or the 576 Micropolitan
Areas was extracted, calculated and ranked.
Terms to Understand
The following is an explanation of several of the terms used in this section.
Earnings: With the exception of “Wage & Salaried Workers – Earnings,” this includes all
wages & salaries paid to workers, the earnings of proprietors, and “Other Labor Income.”
Generally, “Other Labor Income” includes the employer and proprietor contributions to private
retirement programs. For earnings under “Wage & Salaried Workers – Earnings,” earnings do
not include “Other Labor Income” but reflects just wages and salaries paid to individuals who
work for others. Earnings are in $000.
Employment or Jobs: Includes all full and part-time wage and salaried workers and full and
part-time proprietors. Under “Non Farm Proprietors – Employment,” Jobs reflect the number of
proprietors.
Wages: Denotes the “Annual Earnings per Worker” for each category. This is derived by
dividing the total earnings in each industry by the total employment in each industry.
Proprietors or Non Farm Proprietors: An unincorporated business or partnership. Typically
the “small businesses” in an area, a “proprietor” can be full or part-time. Proprietor earnings are
typically derived from Federal Income Tax filings.
Section 3 – Page 5
POLICOM
Pasco County, Florida
CORPORATION
Population and Per Capita: Population reflects the “mid-year” estimate by the Bureau of
Census. Per Capita calculations are created by dividing the item by the population estimate for
each year.
Comparison Areas
Data is provided for the United States (USA) along with the average of the Metropolitan areas
(USA MET) and the non-metropolitan portion of the country (NON MET) which is basically
“rural American.”
Data for any state which is shown is ranked against the remaining 49 states.
Metropolitan Statistical Areas are ranked against the 365 other MSA’s. Micropolitan Statistical
Areas are ranked against the other 575 other MicSA’s.
Rural counties are ranked against the MicSA’s.
For some items, a “0” or “na” will appear for one or more time periods or for the entire data
item. This means the data has been suppressed to prevent disclosure or there was too little data
to be included in the area totals.
Pasco County is compared to the following areas:
1. Tampa - St. Petersburg - Clearwater, FL Metropolitan Area
2. Hernando County, FL
3. Hillsborough County, FL
4. Pinellas County, FL
5. Polk County, FL
Section 3 – Page 6
Data Set 1 - All Years
Data Set 1 – All Years includes economic information which has been collected using the same
methodology since at least 1970. Included are 42 items for which the annual growth rate has been
calculated and ranked for the five years from 2005 – 2009, the ten years from 2000 to 2009, and
previous ten years from 1990 to 1999. Short and long term trends can be reviewed using this data
set.
Population
Total Personal Income
Per Capita Personal Income
Earnings - Place of Residence
Per Capita Earnings by Residence
Dividends, Interest, Rent
Per Capita Dividends, Interest, Rent
Government Transfers - Personal
Per Capita Personal Government Transfers
Earnings by place of work ($000)
Per Capita Total Worker Earnings
Total full-time and part-time employment
Wages - All Workers
Wage and salary disbursements
Wage and salary jobs
Wages - Wage and Salaried Workers
Nonfarm proprietors' income
Number of nonfarm proprietors
Wages - Non Farm Proprietors
Retirement and disability insurance benefits
Per Capita Retirement Transfers
Page
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Medical benefits
Per Capita Medical Transfers
Medicare benefits
Per Capita Medicare
Public assistance medical care benefits
Per Capita Public Assistance Medical
Income maintenance benefits
Per Capita Income Maintenance
Family assistance
Per Capita Family Assistance
Food stamps
Per Capita Food Stamps
Unemployment insurance compensation
Per Capita Unemployment
Veterans benefits
Per Capita Veterans Benefits
Farm Receipts - All
Farm Receipts - Crops
Farm Receipts - Livestock
Government Farm Payments
Per Capita Government Farm Payments
RANK:
STATES - x/ 50
METRO - x / 366 AREAS
MICRO - x / 576 AREAS
Section 3 - Page 7
Page
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
Population
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
0.9%
1.0%
0.4%
3.1%
1.3%
2.8%
1.7%
-0.3%
2.3%
13
132
19
85
344
35
0.9%
1.0%
0.2%
2.2%
0.9%
1.8%
1.1%
-0.6%
1.5%
19
122
38
98
330
56
301,461,531
252,111,427
49,350,104
453,933
2,702,391
166,338
1,167,116
915,003
566,657
109
19
232
46
53
88
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
1.0%
1.1%
0.3%
3.4%
1.5%
2.9%
2.0%
-0.1%
2.0%
9
93
17
51
325
47
0.9%
1.0%
0.2%
2.6%
1.2%
2.0%
1.5%
-0.3%
1.5%
12
79
28
54
308
55
294,573,724
245,628,517
48,945,207
413,723
2,594,288
152,637
1,108,720
919,207
533,763
111
20
249
48
53
89
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
68
106
43
81
224
83
264,537,626
218,110,285
46,427,341
306,896
2,216,792
117,352
904,486
888,058
442,848
138
21
284
50
50
96
Rank
1989
Rank
246,819,222
202,508,423
44,310,799
275,755
2,039,321
95,307
827,379
840,880
398,231
141
22
317
52
49
96
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.2%
1.3%
0.8%
2.0%
1.5%
3.1%
1.8%
0.9%
1.8%
79
130
25
106
231
97
1.2%
1.2%
0.7%
1.6%
1.3%
2.0%
1.5%
0.5%
1.5%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
307,006,550
257,355,190
49,651,360
471,709
2,747,272
171,233
1,195,317
909,013
583,403
106
19
232
46
55
87
Section 3 - Page 8
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Total Personal Income
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
4.2%
4.2%
4.2%
6.0%
4.1%
5.7%
4.7%
2.6%
5.1%
53
213
67
137
334
99
1.9%
1.8%
2.1%
3.5%
2.2%
3.6%
2.8%
0.6%
2.5%
35
127
34
72
277
95
11,636,426,600
10,170,763,587
1,465,663,013
12,951,865
100,123,104
4,808,241
43,523,727
38,839,271
18,162,492
131
21
253
48
52
98
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
4.4%
4.5%
4.3%
6.6%
4.8%
6.1%
5.4%
3.6%
5.4%
24
158
44
92
303
92
2.0%
1.9%
2.2%
4.4%
2.5%
3.3%
3.2%
0.7%
3.0%
7
113
47
54
312
66
10,396,839,300
9,077,853,206
1,318,986,094
10,995,880
88,172,220
4,135,411
37,827,855
35,213,074
15,550,391
137
22
265
49
51
103
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
139
147
55
49
328
170
6,180,369,900
5,352,046,582
828,323,318
5,613,677
50,020,596
2,166,871
20,032,942
22,207,106
8,534,074
154
24
291
53
51
108
Rank
1989
Rank
4,541,996,000
3,926,279,716
615,716,284
4,143,040
36,888,232
1,452,738
13,847,477
17,444,977
6,133,682
151
23
310
53
48
113
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.7%
5.8%
5.2%
5.9%
5.8%
7.0%
6.9%
4.7%
6.2%
165
169
55
61
296
122
4.2%
4.3%
3.3%
3.9%
3.9%
5.2%
5.3%
1.8%
3.7%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
12,168,161,000
10,608,997,585
1,559,163,415
13,790,695
103,386,054
5,128,367
45,511,155
38,955,837
18,865,160
132
21
250
48
55
98
Section 3 - Page 9
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Per Capita Personal Income
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
3.2%
3.1%
3.8%
2.7%
2.8%
2.8%
3.0%
2.9%
2.7%
256
254
254
223
235
256
1.0%
0.8%
1.8%
1.0%
1.0%
1.6%
1.2%
0.9%
0.6%
155
150
88
127
159
196
38,578
40,319
29,690
28,491
37,033
28,870
37,268
42,456
32,025
335
105
324
98
37
233
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
3.4%
3.3%
4.0%
3.1%
3.3%
3.1%
3.4%
3.7%
3.3%
277
243
271
230
177
240
1.0%
0.8%
1.9%
1.4%
1.1%
1.0%
1.3%
0.8%
1.2%
129
177
187
149
221
161
35,197
36,845
26,919
26,322
33,829
26,878
33,909
38,331
28,911
329
105
318
104
36
240
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
253
187
202
28
327
234
23,260
24,425
17,784
18,162
22,442
18,298
21,984
24,940
19,140
309
108
303
127
44
261
Rank
1989
Rank
18,402
19,388
13,895
15,024
18,088
15,243
16,737
20,746
15,402
262
92
245
147
30
238
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.4%
4.4%
4.4%
3.7%
4.2%
3.8%
5.1%
3.8%
4.3%
317
231
308
52
312
200
2.9%
2.9%
2.4%
1.8%
2.3%
2.2%
3.5%
0.9%
2.0%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
39,635
41,223
31,402
29,236
37,632
29,950
38,075
42,855
32,336
340
124
325
112
40
259
Section 3 - Page 10
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Earnings - Place of Residence
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
2.6%
2.7%
2.2%
4.9%
2.2%
3.5%
2.7%
0.6%
3.3%
34
234
100
177
332
111
0.2%
0.2%
0.1%
1.5%
-0.1%
0.1%
0.7%
-1.7%
-0.2%
62
182
156
112
298
196
7,784,521,000
6,903,407,348
881,113,652
7,183,076
60,098,488
2,219,700
29,069,694
21,626,017
10,828,007
149
23
322
49
60
106
66.9%
67.9%
60.1%
55.5%
60.0%
46.2%
66.8%
55.7%
59.6%
354
317
360
149
353
322
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
3.8%
3.8%
3.4%
6.7%
4.0%
5.7%
4.5%
2.5%
4.2%
16
176
34
127
321
148
1.4%
1.3%
1.5%
3.7%
1.5%
1.6%
2.5%
-0.7%
1.2%
14
149
131
60
319
175
7,059,691,600
6,256,047,206
803,644,394
6,037,883
53,932,113
1,911,384
25,906,226
20,076,622
9,449,430
155
23
336
49
60
110
67.9%
68.9%
60.9%
54.9%
61.2%
46.2%
68.5%
57.0%
60.8%
356
311
362
124
351
318
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
18
38
22
49
53
72
4,170,903,700
3,660,936,650
509,967,050
2,692,903
29,581,329
915,396
13,806,397
12,166,634
5,228,905
188
27
361
53
61
118
67.5%
68.4%
61.6%
48.0%
59.1%
42.2%
68.9%
54.8%
61.3%
359
344
364
117
355
326
Rank
1989
Rank
%
Rank
353
314
359
150
351
320
3,083,121,000
2,700,621,378
382,499,622
1,803,988
20,585,316
600,267
9,543,420
8,637,641
3,721,591
190
26
361
56
59
116
67.9%
68.8%
62.1%
43.5%
55.8%
41.3%
68.9%
49.5%
60.7%
363
350
364
137
358
333
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.8%
5.9%
5.2%
7.9%
6.9%
7.8%
7.1%
6.5%
6.7%
36
69
38
63
107
84
4.3%
4.4%
2.9%
6.4%
5.6%
6.2%
5.3%
5.3%
4.8%
Actual
2009
Rank
%
147
23
324
50
60
107
64.46%
65.56%
56.97%
52.57%
57.24%
42.82%
63.97%
52.94%
56.60%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
7,843,321,000
6,955,130,390
888,190,610
7,250,017
59,179,972
2,196,108
29,112,384
20,621,463
10,678,537
% = The percentage this item is of Total Personal Income
Section 3 - Page 11
Per Capita Earnings by Residence
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
1.7%
1.6%
1.8%
1.6%
0.9%
0.6%
1.0%
1.0%
1.0%
AAI-10
2.8%
2.7%
3.1%
3.1%
2.5%
2.8%
2.4%
2.6%
2.1%
AAI-P10
Rank
DF-5
179
255
281
252
250
251
-0.7%
-0.8%
-0.3%
-0.7%
-1.0%
-2.2%
-0.6%
-1.3%
-1.8%
Rank DF-10
147
243
202
249
222
286
Rank DF-P10
4.5%
4.5%
4.4%
5.7%
5.3%
4.6%
5.2%
5.6%
4.8%
18
40
152
55
25
111
3.0%
3.0%
1.9%
4.3%
3.9%
2.8%
3.3%
4.3%
2.9%
Actual
2009
Rank
%
25,548
27,025
17,889
15,370
21,541
12,825
24,355
22,686
18,304
Avg 5
Rank
150
176
274
145
213
246
25,816
27,376
17,852
15,817
22,238
13,350
24,905
23,636
19,109
355
178
365
108
130
275
Rank
Avg 10
Rank
113
184
288
130
249
234
23,912
25,408
16,405
14,439
20,714
12,430
23,263
21,850
17,601
357
166
363
100
132
289
Rank
Avg P10
Rank
7
11
98
38
7
85
15,696
16,705
10,949
8,687
13,258
7,722
15,150
13,652
11,719
362
195
364
113
176
300
Rank
1989
Rank
12,491
13,336
8,632
6,542
10,094
6,298
11,535
10,272
9,345
361
236
362
130
230
301
0.5%
0.3%
1.2%
0.8%
0.2%
-1.0%
0.7%
-0.5%
-0.3%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
356
194
363
118
165
300
Section 3 - Page 12
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Dividends, Interest, Rents
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
6.7%
6.8%
6.1%
6.4%
5.8%
5.9%
9.0%
3.5%
6.7%
179
217
217
57
330
155
0.7%
0.6%
-1.6%
-1.9%
1.0%
-2.3%
2.2%
-0.3%
0.5%
152
49
172
19
90
68
2,083,396,000
1,832,627,675
250,768,325
2,598,813
22,321,584
1,146,011
8,148,307
10,428,453
3,761,119
117
17
205
47
37
86
17.9%
18.0%
17.1%
20.1%
22.3%
23.8%
18.7%
26.9%
20.7%
68
42
30
87
16
53
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
4.4%
4.5%
3.6%
5.3%
5.0%
4.4%
6.4%
4.0%
60.0%
90
111
169
35
196
46
-1.5%
-1.5%
-3.4%
-1.0%
-0.5%
-2.6%
-1.5%
-0.8%
-2.3%
37
22
109
50
33
97
1,821,839,600
1,592,990,993
228,848,607
2,275,273
19,184,417
1,024,189
6,669,475
9,215,481
3,128,423
118
18
204
48
35
91
17.5%
17.5%
17.4%
20.7%
21.8%
24.8%
17.6%
26.2%
20.1%
47
40
20
127
16
53
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
327
339
180
167
364
345
1,171,952,000
1,012,206,446
159,745,554
1,427,079
11,928,957
631,767
3,580,061
6,290,050
1,792,215
126
17
215
56
31
100
19.0%
18.9%
19.3%
25.4%
23.8%
29.2%
17.9%
28.3%
21.0%
21
30
13
213
14
65
Rank
1989
Rank
%
Rank
65
43
33
87
16
56
916,328,000
786,633,355
129,694,645
1,327,835
10,713,786
499,377
2,694,830
6,191,744
1,508,181
103
13
211
56
27
92
20.2%
20.0%
21.1%
32.0%
29.0%
34.4%
19.5%
35.5%
24.6%
11
14
8
176
8
32
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.8%
4.9%
4.3%
2.6%
3.1%
5.0%
6.1%
1.5%
4.0%
352
332
186
90
366
283
1.3%
1.4%
1.0%
-2.6%
-3.1%
0.2%
0.3%
-6.5%
-3.6%
Actual
2009
Rank
%
117
17
213
47
40
85
18.0%
18.1%
17.5%
20.2%
22.3%
23.7%
19.0%
26.6%
20.7%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2,192,960,000
1,920,328,286
272,631,714
2,781,259
23,020,743
1,213,513
8,653,650
10,372,321
3,912,746
% = The percentage this item is of Total Personal Income
Section 3 - Page 13
Per Capita-Dividends, Interest, Rents
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
5.7%
5.7%
5.7%
3.1%
4.5%
2.9%
7.1%
3.9%
4.3%
326
253
337
67
290
264
-0.2%
-0.5%
-1.9%
-4.7%
-0.2%
-4.7%
0.5%
0.1%
-1.7%
252
33
252
16
24
101
6,904
7,261
5,079
5,708
8,253
6,872
6,971
11,401
6,627
183
49
90
89
16
104
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
3.4%
3.4%
3.2%
1.8%
3.4%
1.5%
4.4%
4.1%
4.1%
309
140
333
62
82
84
-2.4%
-2.5%
-3.7%
-4.3%
-1.9%
-5.1%
-3.4%
-0.6%
-4.0%
146
16
217
83
3
128
6,164
6,461
4,671
5,468
7,353
6,688
5,957
10,033
5,803
158
47
69
109
15
117
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
342
343
270
208
363
347
4,412
4,621
3,430
4,636
5,363
5,349
3,927
7,075
4,029
72
36
37
175
13
152
Rank
1989
Rank
3,713
3,884
2,927
4,815
5,254
5,240
3,257
7,363
3,787
25
16
17
176
8
79
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.5%
3.5%
3.4%
0.5%
1.5%
1.9%
4.2%
0.6%
2.1%
367
359
344
116
367
337
0.1%
0.0%
0.1%
-4.3%
-4.4%
-2.4%
-1.3%
-7.2%
-5.2%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
7,143
7,462
5,491
5,896
8,379
7,087
7,240
11,411
6,707
195
50
93
89
18
119
Section 3 - Page 14
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
8.6%
8.6%
8.3%
8.4%
8.6%
9.2%
9.7%
7.4%
9.0%
250
233
166
120
341
185
6.9%
6.9%
7.0%
7.1%
7.0%
7.0%
8.1%
5.7%
7.6%
124
128
127
53
249
79
1,768,509,600
1,434,728,564
333,781,036
3,169,976
17,703,032
1,442,529
6,305,726
6,784,801
3,573,367
93
16
175
47
46
85
15.2%
14.1%
22.8%
24.5%
17.7%
30.0%
14.5%
17.5%
19.7%
24
168
1
265
173
113
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
7.7%
7.7%
7.5%
7.7%
7.6%
8.2%
8.9%
6.4%
8.5%
229
241
152
70
351
119
5.7%
5.7%
5.6%
6.1%
6.0%
6.3%
7.1%
4.7%
6.7%
85
100
72
33
238
46
1,515,308,100
1,228,815,007
286,493,093
2,682,725
15,055,690
1,199,838
5,252,155
5,920,972
2,972,537
93
16
178
47
45
86
14.6%
13.5%
21.7%
24.4%
17.1%
29.0%
13.9%
16.8%
19.1%
15
164
2
261
171
104
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
202
180
29
92
276
31
837,514,200
678,903,486
158,610,714
1,493,695
8,510,310
619,708
2,646,484
3,750,423
1,512,954
89
14
184
54
38
87
13.6%
12.7%
19.1%
26.6%
17.0%
28.6%
13.2%
16.9%
17.7%
1
100
1
230
105
71
Rank
1989
Rank
%
Rank
27
159
1
255
160
111
542,547,000
439,024,983
103,522,017
1,011,217
5,589,130
353,094
1,609,227
2,615,592
903,910
82
12
207
58
34
88
11.9%
11.2%
16.8%
24.4%
15.2%
24.3%
11.6%
15.0%
14.7%
1
85
1
236
90
99
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
6.6%
6.6%
6.5%
5.9%
6.2%
8.4%
7.5%
5.2%
7.7%
279
249
50
108
341
90
4.8%
4.8%
4.9%
3.8%
4.0%
6.0%
4.9%
3.0%
5.9%
Actual
2009
Rank
%
94
15
178
47
46
86
17.5%
16.3%
25.5%
27.3%
20.5%
33.5%
17.0%
20.4%
22.7%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2,131,880,000
1,733,538,909
398,341,091
3,759,419
21,185,339
1,718,746
7,745,121
7,962,053
4,273,877
% = The percentage this item is of Total Personal Income
Section 3 - Page 15
Per Capita -Government Transfers
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
7.6%
7.5%
7.9%
5.2%
7.2%
6.3%
7.9%
7.8%
6.6%
367
306
352
204
221
340
5.9%
5.7%
6.5%
3.5%
5.7%
3.6%
6.2%
6.3%
4.7%
325
130
323
80
73
246
5,858
5,682
6,760
6,966
6,542
8,649
5,392
7,420
6,289
58
89
2
249
27
130
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
6.6%
6.5%
7.1%
4.2%
6.0%
5.2%
6.9%
6.5%
6.4%
367
337
365
226
293
299
4.7%
4.6%
5.2%
2.6%
4.5%
3.1%
5.1%
4.9%
4.4%
335
129
301
53
85
155
5,120
4,977
5,843
6,415
5,762
7,760
4,689
6,448
5,507
32
79
2
249
30
121
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
306
239
257
115
278
36
3,152
3,099
3,404
4,839
3,821
5,228
2,907
4,213
3,392
2
36
1
214
18
93
Rank
1989
Rank
2,198
2,168
2,336
3,667
2,741
3,705
1,945
3,111
2,270
1
31
1
232
9
110
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.3%
5.2%
5.6%
3.8%
4.6%
5.1%
5.6%
4.2%
5.8%
354
307
256
148
332
133
3.6%
3.5%
4.1%
1.4%
2.3%
2.1%
3.2%
1.8%
4.0%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
6,944
6,736
8,023
7,970
7,711
10,037
6,480
8,759
7,326
73
99
3
240
31
144
Section 3 - Page 16
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Earnings - All Workers
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
2.7%
2.8%
2.3%
4.7%
2.4%
2.5%
2.8%
1.4%
3.1%
43
220
210
188
297
148
0.4%
0.4%
0.2%
0.5%
0.3%
-1.7%
0.7%
-0.6%
-0.4%
148
160
305
124
235
226
8,724,699,000
7,814,835,927
909,863,073
4,585,679
69,608,116
1,787,093
38,908,883
24,326,461
10,844,538
211
23
361
43
58
115
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
3.8%
3.9%
3.4%
6.3%
4.1%
5.6%
4.6%
3.0%
4.1%
23
172
46
121
281
174
1.5%
1.4%
1.6%
2.9%
1.9%
1.7%
2.7%
0.0%
0.7%
42
107
137
56
284
233
7,908,383,600
7,079,407,831
828,975,769
3,835,185
62,365,478
1,551,900
34,550,011
22,428,382
9,543,456
220
23
363
43
58
114
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
143
38
42
36
40
205
4,693,397,800
4,158,224,984
535,172,816
1,973,911
33,821,162
739,047
17,974,970
13,133,234
5,562,568
254
26
365
50
58
120
Rank
1989
Rank
3,466,822,000
3,063,226,671
403,595,329
1,434,372
23,419,290
471,778
12,232,358
9,280,782
4,233,163
256
25
365
53
61
115
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.8%
5.9%
5.0%
5.9%
7.1%
8.1%
7.5%
6.8%
5.5%
168
66
29
51
83
200
4.4%
4.5%
2.9%
3.8%
5.8%
5.5%
5.9%
5.6%
3.0%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
8,811,175,000
7,891,324,319
919,850,681
4,611,367
69,072,365
1,736,984
38,916,910
23,807,104
10,728,228
213
23
362
44
58
119
Section 3 - Page 17
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Per Capita-All Workers Earnings
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
1.8%
1.7%
1.9%
1.5%
1.1%
-0.4%
1.0%
1.8%
0.8%
214
248
346
254
174
276
-0.5%
-0.7%
-0.2%
-2.6%
-0.7%
-4.2%
-0.7%
-0.5%
-2.4%
304
156
341
158
141
290
28,934
30,990
18,434
10,099
25,755
10,757
33,334
26,589
19,142
366
164
366
38
145
323
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
2.8%
2.7%
3.1%
2.8%
2.6%
2.6%
2.5%
3.1%
2.0%
208
238
227
246
163
294
0.5%
0.4%
1.3%
-0.6%
0.6%
-1.1%
0.8%
0.0%
-1.1%
261
142
293
118
205
293
26,786
28,751
16,922
9,162
23,951
10,104
31,016
24,411
17,788
366
156
366
33
147
324
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
210
11
151
17
5
261
17,663
18,974
11,492
6,388
15,155
6,235
19,712
14,734
12,487
367
190
367
45
210
318
Rank
1989
Rank
14,046
15,126
9,108
5,202
11,484
4,950
14,784
11,037
10,630
367
220
367
65
248
275
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.5%
4.5%
4.2%
3.7%
5.5%
4.8%
5.6%
5.9%
3.6%
284
34
115
29
19
294
3.1%
3.1%
1.9%
1.8%
4.2%
2.4%
4.0%
4.7%
1.2%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
28,700
30,663
18,526
9,776
25,142
10,144
32,558
26,190
18,389
366
178
366
47
156
331
Section 3 - Page 18
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
All Workers - Jobs
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
0.6%
0.6%
0.2%
2.3%
-0.4%
1.6%
-0.5%
-1.0%
0.7%
20
310
57
319
337
154
-0.6%
-0.5%
-0.8%
-0.3%
-2.1%
-1.0%
-2.6%
-2.6%
-1.5%
78
303
180
336
335
254
176,399,020
150,567,072
25,831,948
132,691
1,558,969
58,890
789,684
577,704
269,744
190
21
334
44
54
106
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
0.7%
0.8%
0.3%
3.2%
0.6%
3.1%
0.5%
0.1%
1.4%
5
202
6
231
281
96
-0.3%
-0.3%
-0.8%
1.4%
-1.7%
0.7%
-2.2%
-2.8%
-0.7%
4
302
26
322
345
182
171,298,540
145,942,175
25,356,365
119,599
1,505,008
53,343
763,817
568,250
254,115
200
21
348
42
54
108
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
198
59
28
38
126
248
147,260,650
124,293,642
22,967,008
86,511
1,184,825
34,115
591,413
472,786
204,721
222
22
362
49
56
110
Rank
1989
Rank
136,177,800
115,209,024
20,968,776
78,795
1,052,726
27,150
513,742
433,039
195,457
220
22
363
49
55
107
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.7%
1.7%
1.7%
2.0%
2.9%
4.6%
3.4%
2.3%
1.5%
175
73
12
44
138
235
1.0%
1.0%
1.0%
0.3%
1.6%
2.2%
2.0%
0.9%
-0.2%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
173,809,200
148,467,414
25,341,786
130,678
1,480,625
57,344
746,006
546,597
259,376
190
21
335
46
56
109
Section 3 - Page 19
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
All Workers - Wages
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
2.1%
2.1%
2.1%
2.2%
2.8%
0.8%
3.3%
2.4%
2.4%
159
84
351
45
132
136
0.5%
0.5%
0.0%
-0.1%
1.1%
-2.1%
1.5%
0.5%
0.0%
217
86
341
49
153
209
49,446
51,887
35,220
34,537
44,675
30,348
49,312
42,135
40,209
348
120
367
54
175
231
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
3.0%
3.0%
3.1%
3.0%
3.4%
2.4%
4.1%
2.8%
2.7%
203
110
321
40
228
275
1.6%
1.5%
1.3%
0.8%
2.0%
-0.1%
2.3%
1.3%
-0.8%
222
41
302
19
139
333
46,052
48,381
32,642
31,691
41,314
28,910
45,092
39,432
37,364
360
126
364
62
172
234
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
166
19
241
70
11
134
31,683
33,251
23,195
22,656
28,265
21,440
30,073
27,531
27,002
354
155
362
90
186
209
Rank
1989
Rank
25,458
26,588
19,247
18,204
22,246
17,377
23,810
21,432
21,658
355
196
361
119
245
228
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.0%
4.1%
3.3%
3.8%
4.1%
3.3%
4.0%
4.4%
4.0%
161
89
262
122
44
122
2.8%
2.9%
1.3%
1.8%
3.1%
1.1%
2.6%
3.3%
2.0%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
50,695
53,152
36,298
35,288
46,651
30,291
52,167
43,555
41,362
351
117
367
42
178
230
Section 3 - Page 20
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Wage & Salary Workers - Earnings
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
3.0%
3.0%
2.9%
5.1%
2.4%
3.2%
2.8%
1.3%
3.1%
47
258
173
228
322
182
0.5%
0.5%
0.7%
0.3%
0.1%
-0.9%
0.6%
-1.2%
-0.5%
193
203
276
175
297
246
6,197,544,400
5,580,212,633
617,331,767
3,501,388
52,152,656
1,286,914
29,161,089
18,203,265
7,853,847
205
21
361
42
56
114
71.0%
71.4%
67.8%
76.4%
74.9%
72.0%
74.9%
74.8%
72.4%
5
21
177
20
24
143
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
3.5%
3.6%
3.2%
6.8%
3.8%
5.9%
4.2%
2.7%
4.1%
13
176
30
140
287
143
0.9%
0.8%
1.6%
3.5%
1.3%
2.1%
2.0%
-0.7%
0.9%
21
177
104
106
312
210
5,630,628,600
5,066,935,012
563,693,588
2,908,633
46,956,078
1,106,610
26,028,390
16,912,444
6,950,248
210
21
363
42
56
113
71.2%
71.6%
68.0%
75.8%
75.3%
71.3%
75.3%
75.4%
72.8%
7
13
216
13
11
130
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
173
44
44
37
58
265
3,432,488,800
3,061,265,077
371,223,723
1,453,707
25,839,190
533,505
13,826,095
10,025,883
4,073,143
246
24
365
48
57
121
73.1%
73.6%
69.4%
73.6%
76.4%
72.2%
76.9%
76.3%
73.2%
184
34
249
19
38
202
Rank
1989
Rank
%
Rank
5
30
124
30
43
160
2,572,278,000
2,294,254,102
278,023,898
1,045,897
17,997,359
338,270
9,485,646
7,127,546
3,113,073
254
26
365
51
60
117
74.2%
74.9%
68.9%
72.9%
76.8%
71.7%
77.5%
76.8%
73.5%
238
46
270
20
47
217
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.7%
5.7%
5.1%
5.9%
7.1%
7.9%
7.4%
6.8%
5.3%
164
57
31
48
77
214
4.2%
4.2%
3.9%
3.4%
5.4%
5.4%
5.6%
5.1%
2.4%
Actual
2009
Rank
%
206
21
361
43
58
116
71.1%
71.4%
68.3%
76.3%
74.6%
72.8%
74.7%
74.4%
72.3%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
6,266,732,000
5,638,190,381
628,541,619
3,518,019
51,550,287
1,264,666
29,053,114
17,714,488
7,756,111
% = The percentage this item is of All Workers Earnings
Section 3 - Page 21
Wage & Salary Workers - Jobs
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
-0.1%
0.0%
-0.4%
1.9%
-1.3%
0.1%
-1.3%
-2.1%
0.0%
21
320
166
321
347
190
-1.4%
-1.4%
-1.6%
-1.6%
-3.2%
-2.8%
-3.4%
-4.1%
-2.5%
167
307
288
316
344
263
140,951,200
121,690,766
19,260,434
106,571
1,275,113
41,536
668,092
458,914
220,415
189
21
351
40
54
103
79.9%
80.8%
74.6%
80.3%
81.8%
70.5%
84.6%
79.4%
81.7%
231
167
364
38
263
170
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
0.2%
0.2%
-0.2%
2.9%
-0.1%
2.4%
-0.2%
-0.8%
0.9%
4
245
8
263
314
98
-1.0%
-1.0%
-1.2%
0.5%
-2.7%
0.0%
-2.9%
-3.9%
-1.2%
16
315
36
324
355
163
138,961,300
119,834,511
19,126,789
96,630
1,255,112
38,286
658,038
462,158
210,012
199
20
362
40
54
105
81.1%
82.1%
75.4%
80.8%
83.4%
71.8%
86.2%
81.3%
82.6%
261
132
364
24
231
180
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
181
65
106
53
112
256
123,007,100
105,315,335
17,691,766
70,314
1,017,889
25,820
525,016
396,738
171,881
225
22
364
45
56
113
83.5%
84.7%
77.0%
81.3%
85.9%
75.7%
88.8%
83.9%
84.0%
289
115
355
13
211
210
Rank
1989
Rank
%
Rank
236
203
364
73
292
191
115,124,000
98,881,523
16,242,477
63,951
904,014
20,457
455,665
363,941
165,662
222
21
365
47
56
108
84.5%
85.8%
77.5%
81.2%
85.9%
75.3%
88.7%
84.0%
84.8%
294
144
359
27
221
198
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.6%
1.6%
1.6%
2.1%
2.9%
4.2%
3.4%
2.4%
1.4%
155
67
15
40
128
229
0.7%
0.7%
0.8%
0.2%
1.5%
1.1%
1.7%
1.0%
-0.4%
Actual
2009
Rank
%
190
21
357
45
57
105
78.7%
79.6%
73.4%
79.1%
79.8%
67.9%
82.8%
77.2%
80.1%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
136,736,000
118,132,560
18,603,440
103,426
1,182,259
38,918
617,794
422,121
207,774
% = The percentage this item is of All Workers - Jobs
Section 3 - Page 22
Wage & Salary Workers - Wages
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
3.1%
3.1%
3.3%
3.0%
3.7%
3.0%
4.2%
3.4%
3.1%
199
71
192
44
125
174
1.8%
1.7%
2.2%
1.2%
3.0%
1.2%
3.4%
2.6%
2.0%
229
16
229
10
53
127
43,968
45,852
32,061
32,835
40,962
31,016
43,725
39,737
35,659
310
84
350
45
111
219
88.9%
88.4%
91.0%
95.1%
91.7%
102.2%
88.7%
94.3%
88.7%
20
57
2
169
26
168
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
3.3%
3.3%
3.4%
3.8%
3.9%
3.3%
4.4%
3.5%
3.2%
86
67
194
27
156
224
1.8%
1.7%
2.7%
2.3%
2.8%
1.4%
3.3%
2.0%
1.7%
94
28
255
10
151
201
40,469
42,225
29,460
29,722
37,380
28,691
39,523
36,654
32,963
323
90
348
53
105
211
87.9%
87.3%
90.3%
93.8%
90.5%
99.2%
87.6%
93.0%
88.2%
14
50
2
169
23
140
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
239
69
91
164
19
240
27,746
28,898
20,885
20,528
25,128
20,440
26,048
25,036
23,559
343
130
344
100
140
199
87.6%
86.9%
90.0%
90.6%
88.9%
95.3%
86.6%
90.9%
87.2%
40
100
3
234
32
206
Rank
1989
Rank
%
Rank
27
59
2
161
28
155
22,344
23,202
17,117
16,355
19,908
16,536
20,817
19,584
18,792
355
160
345
113
182
227
87.8%
87.3%
88.9%
89.8%
89.5%
95.2%
87.4%
91.4%
86.8%
67
79
8
187
37
238
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.0%
4.1%
3.5%
3.7%
4.1%
3.6%
3.9%
4.3%
3.8%
173
74
211
118
38
150
2.9%
2.9%
2.6%
1.7%
2.7%
2.6%
2.2%
3.3%
1.7%
Actual
2009
Rank
%
323
72
348
35
105
221
90.4%
89.8%
93.1%
96.4%
93.5%
107.3%
90.1%
96.3%
90.3%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
45,831
47,728
33,786
34,015
43,603
32,496
47,027
41,965
37,330
% = The percentage this item is of All Worker Wages
Section 3 - Page 23
Non-Farm Proprietors - Earnings
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
0.1%
0.2%
-1.2%
-0.6%
1.1%
-3.0%
0.9%
2.2%
2.8%
176
71
318
81
31
24
-6.4%
-6.5%
-5.7%
-4.3%
-5.2%
-7.7%
-7.5%
-2.5%
-2.5%
77
113
252
240
15
18
1,042,946,200
936,413,840
106,532,360
303,120
5,977,481
207,104
3,270,667
2,196,589
1,168,030
274
34
325
49
68
116
12.0%
12.0%
11.7%
6.6%
8.6%
11.6%
8.4%
9.0%
10.8%
339
249
111
267
227
144
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
3.3%
3.5%
1.7%
0.5%
4.8%
3.1%
6.4%
3.8%
3.9%
329
80
174
35
124
121
-1.4%
-1.5%
-2.1%
-8.2%
-1.6%
-5.3%
-2.5%
-4.3%
-13.1%
263
27
151
49
111
346
959,280,300
859,356,607
99,923,693
279,340
5,233,794
196,616
2,831,055
1,926,784
988,035
275
34
323
50
69
119
12.1%
12.1%
12.1%
7.3%
8.4%
12.7%
8.2%
8.6%
10.4%
325
281
95
293
270
178
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
259
151
184
135
223
246
492,940,100
432,447,161
60,492,939
197,649
2,511,976
85,635
1,147,806
1,080,887
559,207
235
33
361
63
67
115
10.5%
10.4%
11.3%
10.0%
7.4%
11.6%
6.4%
8.2%
10.1%
132
277
89
330
221
131
Rank
1989
Rank
%
Rank
332
220
127
235
194
115
318,554,000
273,363,997
45,190,003
167,612
1,698,698
60,687
701,625
768,774
378,952
203
29
352
69
62
113
9.2%
8.9%
11.2%
11.7%
7.3%
12.9%
5.7%
8.3%
9.0%
62
257
42
335
198
154
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
8.5%
8.8%
6.2%
5.3%
8.1%
8.9%
9.8%
7.1%
9.3%
309
188
141
104
240
126
6.1%
5.9%
3.3%
-2.8%
0.3%
-0.3%
0.6%
-1.4%
-2.3%
Actual
2009
Rank
%
270
33
339
49
65
114
11.1%
11.2%
10.5%
6.0%
8.3%
10.2%
8.0%
8.9%
10.5%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
981,467,000
884,725,828
96,741,172
278,048
5,710,867
177,433
3,124,780
2,130,606
1,128,593
% = The percentage this item is of All Workers Earnings
Section 3 - Page 24
Non-Farm Proprietors - Jobs
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
3.6%
3.8%
2.6%
4.3%
4.2%
5.5%
4.5%
3.6%
4.3%
76
83
22
60
130
71
1.5%
1.6%
0.6%
0.6%
1.0%
2.4%
1.0%
0.8%
1.4%
165
129
41
129
160
100
33,565,420
28,106,469
5,458,951
25,153
279,892
16,731
119,304
118,705
47,206
182
20
245
49
49
112
19.0%
18.7%
21.1%
19.0%
18.0%
28.4%
15.1%
20.5%
17.5%
125
166
5
295
76
191
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
3.7%
3.9%
2.5%
4.9%
4.7%
4.9%
5.3%
4.1%
4.1%
58
68
58
40
106
101
1.7%
2.0%
0.3%
1.9%
1.5%
1.8%
2.0%
0.7%
0.5%
46
75
53
40
136
161
30,366,740
25,300,131
5,066,610
21,938
245,710
14,461
103,308
106,004
41,733
188
21
254
49
49
115
17.7%
17.3%
20.0%
18.3%
16.3%
27.1%
13.5%
18.7%
16.4%
99
187
4
328
90
182
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
277
118
190
96
204
103
22,025,650
18,081,161
3,944,490
15,100
162,083
7,800
63,262
75,921
30,053
198
24
317
59
51
116
15.0%
14.5%
17.2%
17.5%
13.7%
22.9%
10.7%
16.1%
14.7%
66
197
12
352
102
143
Rank
1989
Rank
%
Rank
122
135
4
251
60
163
18,781,800
15,414,763
3,367,037
13,783
144,037
6,241
55,051
68,962
27,011
186
22
325
55
46
109
13.8%
13.4%
16.1%
17.5%
13.7%
23.0%
10.7%
15.9%
13.8%
55
156
11
326
81
149
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.7%
2.7%
2.7%
1.8%
2.6%
6.1%
3.2%
2.0%
2.1%
261
191
9
133
247
238
1.0%
0.9%
1.1%
-3.5%
-1.0%
-2.0%
-0.7%
-2.2%
-0.8%
Actual
2009
Rank
%
178
20
239
48
49
112
20.2%
19.9%
22.2%
20.1%
19.9%
31.0%
16.9%
22.8%
19.1%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
35,180,200
29,560,250
5,619,950
26,256
294,268
17,766
125,858
124,388
49,430
% = The percentage this item is of All Workers - Jobs
Section 3 - Page 25
Non-Farm Proprietors - Wages
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
-3.4%
-3.4%
-3.7%
-4.7%
-2.9%
-8.0%
-3.4%
-1.3%
-1.5%
249
121
365
151
42
49
-11.4%
-11.7%
-9.8%
-8.1%
-11.3%
-13.8%
-13.9%
-8.4%
-9.0%
84
240
314
315
98
116
31,159
33,418
19,554
12,092
21,410
12,515
27,493
18,532
24,770
365
232
365
115
302
173
63.0%
64.4%
55.5%
35.0%
47.9%
41.2%
55.8%
44.0%
61.6%
358
273
330
198
312
143
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
-0.4%
-0.4%
-0.7%
-4.3%
0.1%
-1.7%
1.1%
-0.3%
-0.1%
355
149
270
96
171
155
-6.0%
-6.3%
-6.2%
-12.0%
-7.5%
-9.5%
-10.3%
-8.9%
-19.8%
262
83
164
197
141
358
31,679
34,082
19,751
12,870
21,267
13,886
27,329
18,126
23,466
364
256
362
133
322
202
68.8%
70.4%
60.5%
40.6%
51.5%
48.0%
60.6%
46.0%
62.8%
357
298
316
207
332
182
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
275
112
298
122
115
207
22,077
23,583
15,186
12,993
15,323
10,893
17,896
14,115
18,397
352
265
366
166
315
141
69.7%
70.9%
65.5%
57.3%
54.2%
50.8%
59.5%
51.3%
68.1%
263
292
319
237
317
127
Rank
1989
Rank
%
Rank
356
264
342
199
286
122
16,961
17,734
13,421
12,161
11,793
9,724
12,745
11,148
14,030
276
302
353
254
325
196
66.6%
66.7%
69.7%
66.8%
53.0%
56.0%
53.5%
52.0%
64.8%
151
304
270
298
308
176
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.7%
6.0%
3.4%
3.6%
5.5%
2.9%
6.5%
5.1%
7.1%
280
183
318
117
205
78
2.7%
2.9%
0.0%
-6.6%
-2.2%
-7.5%
-2.5%
-2.4%
-4.3%
Actual
2009
Rank
%
365
217
366
112
277
151
55.0%
56.3%
47.4%
30.0%
41.6%
33.0%
47.6%
39.3%
55.2%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
27,898
29,930
17,214
10,590
19,407
9,987
24,828
17,129
22,832
% = The percentage this item is of All Worker Wages
Section 3 - Page 26
Government Transfers - Retirement
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
6.2%
6.3%
6.2%
5.8%
5.6%
6.1%
6.8%
4.5%
6.8%
275
290
250
161
356
153
5.0%
5.1%
4.7%
3.6%
4.2%
4.4%
5.3%
3.2%
5.7%
329
276
241
142
346
91
614,100,600
490,607,934
123,492,666
1,313,613
6,687,408
652,058
2,105,887
2,615,850
1,465,958
83
15
155
51
42
76
34.7%
34.2%
37.0%
41.4%
37.8%
45.2%
33.4%
38.6%
41.0%
54
163
15
284
141
61
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
5.7%
5.7%
5.6%
5.0%
4.8%
5.3%
6.1%
3.6%
6.2%
297
317
272
173
361
156
4.5%
4.6%
4.2%
3.4%
3.6%
4.0%
4.9%
2.5%
5.1%
319
291
247
140
350
108
542,966,300
433,742,652
109,223,648
1,173,744
6,001,848
571,082
1,843,597
2,413,425
1,272,156
83
15
154
51
40
76
35.8%
35.3%
38.1%
43.8%
39.9%
47.6%
35.1%
40.8%
42.8%
38
139
11
270
109
55
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
293
250
52
101
336
78
339,716,200
270,973,641
68,742,560
788,116
4,050,630
347,154
1,095,519
1,819,841
748,512
71
10
148
57
32
76
40.6%
39.9%
43.3%
52.8%
47.6%
56.0%
41.4%
48.5%
49.5%
12
87
7
231
69
48
Rank
1989
Rank
%
Rank
39
169
16
291
139
46
245,408,000
195,408,582
49,999,418
597,085
3,025,276
215,462
753,710
1,459,019
500,803
67
10
168
59
29
78
45.2%
44.5%
48.3%
59.0%
54.1%
61.0%
46.8%
55.8%
55.4%
9
41
5
207
20
22
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.1%
5.1%
5.0%
4.4%
4.6%
7.2%
5.9%
3.4%
6.3%
312
286
36
120
362
87
4.3%
4.3%
4.4%
3.2%
3.6%
5.6%
4.9%
2.4%
5.2%
Actual
2009
Rank
%
84
15
159
50
45
76
32.81%
32.27%
35.18%
39.63%
35.56%
42.04%
31.28%
36.41%
39.23%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
699,519,000
559,400,223
140,118,777
1,489,979
7,534,114
722,544
2,422,758
2,898,833
1,676,673
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 27
Per Capita - Retirement Transfers
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
5.3%
5.2%
5.8%
2.6%
4.3%
3.2%
5.0%
4.9%
4.5%
365
342
361
274
299
336
4.0%
4.0%
4.4%
0.0%
2.9%
1.2%
3.6%
3.7%
3.3%
357
316
352
253
240
293
2,035
1,944
2,501
2,891
2,473
3,915
1,802
2,860
2,583
30
84
2
275
33
63
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
4.7%
4.6%
5.2%
1.6%
3.3%
2.4%
4.1%
3.7%
4.1%
367
362
367
329
350
324
3.5%
3.5%
3.9%
-0.1%
2.2%
0.9%
3.0%
2.6%
2.9%
359
334
354
275
310
281
1,837
1,759
2,229
2,829
2,305
3,719
1,653
2,627
2,366
16
63
2
269
28
55
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
337
284
257
133
317
120
1,280
1,238
1,477
2,559
1,821
2,935
1,205
2,046
1,681
4
25
1
226
15
35
Rank
1989
Rank
994
965
1,128
2,165
1,483
2,261
911
1,735
1,258
1
22
1
232
7
46
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.8%
3.7%
4.2%
2.3%
3.0%
4.0%
4.1%
2.5%
4.3%
357
331
208
184
353
148
3.1%
2.9%
3.7%
1.0%
2.0%
2.4%
3.2%
1.5%
3.3%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2,279
2,174
2,822
3,159
2,742
4,220
2,027
3,189
2,874
40
90
3
278
36
66
Section 3 - Page 28
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Medical
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
7.9%
7.9%
7.8%
7.6%
8.0%
9.9%
8.7%
7.4%
8.6%
282
224
72
162
299
163
5.8%
5.9%
5.2%
3.6%
5.3%
4.9%
5.9%
5.5%
3.2%
237
120
140
94
114
259
771,217,000
628,270,744
142,946,256
1,313,200
7,586,850
576,330
2,614,830
3,082,491
1,364,996
94
16
179
51
43
91
43.6%
43.8%
42.8%
41.4%
42.9%
40.0%
41.5%
45.4%
38.2%
159
109
214
157
45
286
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
8.4%
8.3%
8.6%
8.6%
8.7%
10.1%
9.9%
7.7%
9.8%
228
214
75
95
319
98
5.5%
5.6%
5.1%
5.3%
6.1%
6.3%
7.0%
5.7%
5.8%
104
61
51
22
83
78
645,390,100
525,941,088
119,449,012
1,085,214
6,275,610
463,307
2,125,897
2,601,192
1,098,526
96
17
185
51
41
93
42.6%
42.8%
41.7%
40.5%
41.7%
38.6%
40.5%
43.9%
37.0%
158
115
237
158
53
293
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
9.3%
9.2%
9.8%
8.2%
8.7%
10.5%
9.9%
7.8%
10.5%
314
285
126
182
339
127
7.0%
6.9%
6.8%
3.4%
4.5%
2.5%
6.5%
3.5%
7.0%
203
142
260
36
198
18
312,735,000
256,188,004
56,546,996
524,965
3,079,380
204,677
932,463
1,417,275
470,794
89
14
193
53
34
100
37.3%
37.7%
35.7%
35.1%
36.2%
33.0%
35.2%
37.8%
31.1%
160
110
240
158
71
299
2009
Rank
%
Rank
1989
Rank
%
Rank
96
16
176
51
44
91
41.86%
41.96%
41.41%
39.53%
41.29%
40.00%
39.37%
44.28%
36.19%
170
113
155
180
45
291
165,773,000
136,824,402
28,948,598
299,375
1,678,187
99,330
469,349
810,133
229,162
77
12
199
58
31
99
30.6%
31.2%
28.0%
29.6%
30.0%
28.1%
29.2%
31.0%
25.4%
98
79
166
116
51
280
892,410,000
727,456,571
164,953,429
1,486,110
8,748,367
687,453
3,049,389
3,525,415
1,546,638
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 29
Per Capita - Medical Transfers
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
6.9%
6.8%
7.5%
4.3%
6.7%
6.9%
6.9%
7.8%
6.2%
363
273
251
252
147
310
4.8%
4.8%
4.9%
0.3%
3.9%
1.5%
4.1%
5.8%
1.3%
329
148
279
133
41
288
2,555
2,489
2,895
2,886
2,804
3,454
2,236
3,371
2,402
75
90
17
227
24
185
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
7.3%
7.1%
8.2%
5.0%
7.1%
7.0%
7.8%
7.8%
7.6%
367
295
307
214
212
231
4.5%
4.4%
4.7%
1.9%
4.6%
3.1%
5.1%
5.7%
3.9%
256
78
186
44
19
128
2,179
2,129
2,436
2,585
2,398
2,982
1,894
2,833
2,029
45
85
15
227
24
185
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
240
146
334
47
172
38
1,175
1,167
1,212
1,695
1,379
1,719
1,022
1,590
1,052
11
46
8
188
16
171
Rank
1989
Rank
672
676
653
1,086
823
1,042
567
963
575
4
33
8
192
9
183
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
8.0%
7.8%
8.9%
6.1%
7.0%
7.2%
8.0%
6.8%
8.5%
351
314
299
227
323
183
5.7%
5.5%
6.0%
1.3%
2.8%
-1.3%
4.7%
2.3%
4.9%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2,907
2,827
3,322
3,150
3,184
4,015
2,551
3,878
2,651
107
103
14
232
20
209
Section 3 - Page 30
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Medicare
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
10.5%
10.5%
10.8%
9.2%
9.6%
10.7%
11.0%
8.6%
11.3%
350
331
239
215
362
175
5.2%
5.3%
4.4%
3.8%
4.9%
5.8%
5.0%
4.8%
4.4%
330
215
82
195
220
276
424,340,000
345,268,110
79,071,890
1,007,143
5,299,041
464,766
1,630,498
2,196,635
867,063
70
11
136
45
31
79
24.0%
24.1%
23.7%
31.8%
29.9%
32.2%
25.9%
32.4%
24.3%
4
8
3
60
3
126
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
9.2%
9.1%
9.5%
8.4%
8.5%
9.5%
9.9%
7.3%
10.0%
322
320
225
182
363
175
4.9%
5.0%
4.5%
4.4%
4.6%
5.5%
5.5%
3.9%
5.0%
263
224
98
104
310
158
342,410,700
279,088,067
63,322,633
819,895
4,320,789
371,111
1,297,216
1,832,567
682,921
69
12
136
45
31
80
22.6%
22.7%
22.1%
30.6%
28.7%
30.9%
24.7%
31.0%
23.0%
3
7
2
53
2
116
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
7.9%
7.8%
8.3%
7.1%
7.7%
10.2%
8.9%
6.8%
9.4%
308
238
61
133
321
97
5.3%
5.3%
5.1%
1.2%
2.1%
0.8%
3.6%
1.6%
4.4%
262
220
283
119
246
65
166,622,800
136,302,687
30,320,113
425,375
2,251,875
170,902
589,354
1,066,244
307,618
63
10
137
48
26
84
19.9%
20.1%
19.1%
28.5%
26.5%
27.6%
22.3%
28.4%
20.3%
3
6
3
46
3
111
2009
Rank
%
Rank
1989
Rank
%
Rank
74
12
137
45
32
81
23.47%
23.50%
23.29%
30.38%
29.00%
31.90%
24.97%
31.65%
23.70%
5
11
2
78
3
134
98,175,000
81,019,873
17,155,127
262,175
1,331,522
86,445
325,760
657,142
163,847
63
10
150
51
25
88
18.1%
18.5%
16.6%
25.9%
23.8%
24.5%
20.2%
25.1%
18.1%
2
6
3
38
3
106
500,254,000
407,462,125
92,791,875
1,142,261
6,144,189
548,352
1,933,776
2,519,800
1,012,750
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 31
Per Capita - Medicare
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
9.5%
9.3%
10.4%
5.8%
8.2%
7.7%
9.1%
8.9%
8.8%
367
355
360
308
323
338
4.2%
4.2%
4.1%
0.7%
3.5%
2.4%
3.4%
5.0%
1.6%
362
260
327
268
74
350
1,405
1,367
1,601
2,212
1,958
2,785
1,394
2,402
1,525
10
21
1
158
8
108
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
8.2%
8.0%
9.2%
4.9%
6.9%
6.5%
7.8%
7.4%
7.8%
367
358
365
319
342
319
3.9%
3.8%
4.1%
1.1%
3.1%
2.5%
3.5%
3.9%
2.8%
364
301
343
248
189
331
1,155
1,128
1,290
1,951
1,650
2,388
1,154
1,996
1,259
9
20
1
149
6
101
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
295
234
347
138
230
86
626
621
650
1,375
1,009
1,435
645
1,196
687
1
13
1
99
4
71
Rank
1989
Rank
398
400
387
951
653
907
394
781
411
1
8
1
110
4
81
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
6.6%
6.4%
7.4%
4.9%
6.1%
6.9%
7.0%
5.9%
7.4%
351
280
196
181
292
136
3.9%
3.9%
4.2%
-0.8%
0.4%
-2.8%
1.7%
0.5%
2.5%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1,629
1,583
1,869
2,422
2,236
3,202
1,618
2,772
1,736
14
26
1
166
8
120
Section 3 - Page 32
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Medicaid
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
5.1%
5.2%
4.8%
3.1%
4.9%
7.1%
5.2%
4.9%
5.0%
315
227
95
191
224
214
-0.7%
-0.4%
-1.9%
-2.8%
0.2%
-4.5%
-0.3%
1.3%
-9.1%
183
92
236
103
47
309
339,670,600
276,970,600
62,700,000
290,460
2,170,277
104,681
924,739
850,397
482,110
156
24
318
57
63
98
19.2%
19.3%
18.8%
9.2%
12.3%
7.3%
14.7%
12.5%
13.5%
358
334
361
271
326
309
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
7.4%
7.4%
7.6%
9.4%
9.5%
13.1%
9.8%
9.0%
9.8%
116
103
11
78
138
76
2.7%
2.8%
1.8%
4.7%
4.9%
4.0%
5.2%
4.1%
1.0%
26
23
32
15
30
103
297,033,500
241,882,454
55,151,046
252,854
1,857,142
86,682
779,893
737,713
402,603
154
24
324
59
64
105
19.6%
19.7%
19.3%
9.4%
12.3%
7.2%
14.8%
12.5%
13.5%
357
338
361
283
337
311
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
11.6%
11.5%
12.0%
15.5%
13.3%
14.3%
13.3%
12.5%
13.8%
83
175
135
174
224
159
6.7%
6.7%
6.5%
10.1%
9.5%
9.3%
9.6%
8.1%
10.0%
5
8
9
7
21
5
143,353,900
117,560,043
25,793,857
95,308
782,958
31,620
323,733
332,297
157,439
184
30
337
65
65
123
17.1%
17.3%
16.3%
6.4%
9.2%
5.1%
12.2%
8.9%
10.4%
359
347
363
291
351
332
2009
Rank
%
Rank
1989
Rank
%
Rank
158
25
309
60
63
107
17.99%
18.05%
17.77%
8.64%
11.64%
7.62%
13.49%
12.14%
12.06%
358
327
359
278
314
315
64,976,000
53,571,548
11,404,452
33,309
303,581
11,087
125,413
133,772
60,145
215
31
344
67
67
136
12.0%
12.2%
11.0%
3.3%
5.4%
3.1%
7.8%
5.1%
6.7%
363
348
363
283
352
322
383,614,000
312,833,825
70,780,175
324,942
2,466,895
130,905
1,044,442
966,606
515,440
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 33
Per Capita - Medicaid
2005-2009
Rank
Avg 5
Rank
351
246
198
249
133
305
-1.6%
-1.4%
-2.3%
-6.2%
-1.0%
-7.2%
-2.2%
1.9%
-11.0%
250
88
272
140
17
323
1,126
1,098
1,270
640
802
628
791
930
849
322
265
323
267
208
249
Rank
DF-10
Rank
Avg 10
Rank
6.4%
6.2%
7.2%
5.9%
7.9%
10.0%
7.7%
9.1%
7.6%
285
122
29
143
57
146
1.7%
1.8%
1.4%
1.0%
3.3%
1.0%
3.1%
4.3%
-1.0%
73
16
73
19
8
137
1,004
980
1,125
605
710
559
696
803
746
312
268
323
277
223
250
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
10.2%
10.0%
11.1%
13.2%
11.6%
10.7%
11.4%
11.5%
11.7%
101
181
232
193
185
170
5.4%
5.3%
5.7%
7.7%
7.8%
5.8%
7.7%
7.1%
7.9%
5
4
20
5
6
3
538
535
553
306
350
266
355
373
352
309
269
333
262
245
264
Actual
2009
Rank
%
Rank
1989
Rank
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1,250
1,216
1,426
689
898
764
874
1,063
884
263
265
257
121
149
116
152
159
151
326
277
334
275
266
275
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
AAI-5
Rank
DF-5
4.1%
4.1%
4.5%
0.1%
3.6%
4.3%
3.5%
5.3%
2.6%
AAI-10
325
260
310
275
201
267
Section 3 - Page 34
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Income Maintenance
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
8.7%
8.6%
9.0%
12.4%
11.0%
14.7%
11.3%
9.0%
9.3%
68
127
22
108
244
229
3.6%
3.6%
3.7%
3.9%
2.7%
5.9%
2.8%
0.8%
-1.2%
159
206
64
204
278
319
179,800,200
148,061,924
31,738,276
210,180
1,443,817
79,036
733,313
421,287
376,330
129
20
262
47
70
81
10.2%
10.3%
9.5%
6.6%
8.2%
5.5%
11.6%
6.2%
10.5%
339
275
359
72
349
107
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
7.7%
7.7%
7.8%
12.6%
10.9%
13.9%
10.9%
9.6%
11.1%
14
71
7
72
150
60
3.8%
3.8%
3.4%
6.6%
5.2%
7.4%
4.9%
3.7%
2.9%
11
40
3
60
107
154
151,269,900
124,552,491
26,717,409
163,092
1,157,084
60,201
585,131
348,660
303,059
145
21
281
47
71
84
10.0%
10.1%
9.3%
6.1%
7.7%
5.0%
11.1%
5.9%
10.2%
347
290
362
79
349
116
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
6.5%
6.6%
6.3%
13.1%
11.6%
12.5%
11.3%
11.4%
12.8%
14
28
18
36
34
14
3.3%
3.3%
3.1%
6.4%
4.2%
5.7%
3.9%
3.6%
3.9%
15
66
21
82
96
77
91,584,800
75,581,569
16,003,231
68,083
577,828
25,864
297,632
186,250
144,994
178
26
312
52
76
93
10.9%
11.1%
10.1%
4.6%
6.8%
4.2%
11.2%
5.0%
9.6%
361
329
364
98
359
172
2009
Rank
%
Rank
1989
Rank
%
Rank
120
17
247
42
70
77
10.22%
10.33%
9.75%
7.29%
8.75%
6.36%
12.27%
6.55%
11.35%
324
258
349
58
344
82
56,539,000
46,318,885
10,220,115
26,464
242,138
10,111
127,738
77,825
56,610
234
36
347
68
104
131
10.4%
10.6%
9.9%
2.6%
4.3%
2.9%
7.9%
3.0%
6.3%
364
350
364
234
363
303
217,858,000
179,007,632
38,850,368
273,998
1,854,740
109,292
950,109
521,341
484,898
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 35
Per Capita - Income Maintenance
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
7.7%
7.5%
8.7%
9.1%
9.6%
11.8%
9.5%
9.3%
7.0%
177
140
52
147
161
293
2.6%
2.5%
3.2%
0.2%
1.3%
2.2%
0.9%
1.3%
-4.1%
270
220
170
235
219
335
596
586
643
461
534
473
627
461
663
259
211
253
113
259
98
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
6.7%
6.5%
7.5%
8.9%
9.2%
10.8%
8.7%
9.7%
9.0%
111
85
20
133
65
105
2.8%
2.7%
3.0%
3.0%
3.6%
4.3%
2.9%
3.8%
0.6%
87
67
36
95
55
234
511
504
545
385
441
384
521
380
560
267
215
268
116
271
95
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
5.2%
5.2%
5.4%
10.9%
10.0%
9.0%
9.4%
10.5%
10.7%
9
17
37
24
11
10
2.1%
2.0%
2.3%
3.9%
2.5%
1.7%
2.2%
2.5%
2.0%
17
70
119
93
67
101
345
345
344
220
259
218
327
209
324
284
225
284
120
296
122
2009
Rank
%
Rank
1989
Rank
229
229
231
96
119
106
154
93
142
342
310
331
235
347
258
710
696
782
581
675
638
795
574
831
251
185
212
94
255
87
Section 3 - Page 36
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Family Assistance
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
1.8%
1.8%
1.9%
1.7%
3.7%
9.1%
6.8%
-1.1%
2.3%
205
153
58
78
275
194
0.3%
0.3%
-0.6%
-9.2%
-2.3%
1.3%
2.6%
-12.5%
-4.0%
164
18
2
1
211
45
18,823,800
16,896,593
1,927,207
13,656
102,877
5,032
52,732
31,457
25,047
140
33
240
59
83
89
1.1%
1.2%
0.6%
0.4%
0.6%
0.3%
0.8%
0.5%
0.7%
248
186
273
117
236
147
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
1.2%
1.2%
1.1%
7.8%
6.6%
11.4%
6.8%
5.7%
7.2%
79
95
37
93
113
87
-1.1%
-1.2%
-1.4%
-7.0%
-5.2%
-3.7%
-3.6%
-9.0%
-6.7%
55
28
19
19
90
49
18,508,700
16,566,740
1,941,960
12,336
96,421
4,514
47,041
32,531
24,590
147
34
251
60
78
92
1.2%
1.3%
0.7%
0.5%
0.6%
0.4%
0.9%
0.5%
0.8%
261
204
290
139
230
148
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
0.5%
0.7%
-1.3%
3.9%
3.7%
5.0%
4.0%
3.3%
5.6%
92
93
70
86
102
60
-3.9%
-3.6%
-6.2%
-11.7%
-11.4%
-10.6%
-11.8%
-13.5%
-12.7%
165
155
141
165
195
184
20,473,800
18,099,560
2,374,241
9,837
95,728
4,013
49,541
32,338
21,919
192
38
287
60
87
105
2.4%
2.7%
1.5%
0.7%
1.1%
0.6%
1.9%
0.9%
1.4%
337
249
337
151
304
197
2009
Rank
%
Rank
1989
Rank
%
Rank
149
31
221
52
86
91
0.94%
1.04%
0.53%
0.36%
0.54%
0.38%
0.82%
0.40%
0.67%
254
181
248
106
242
133
17,485,000
15,266,155
2,218,845
5,563
53,037
1,921
27,730
17,823
10,997
236
51
336
84
109
162
3.2%
3.5%
2.1%
0.6%
0.9%
0.5%
1.7%
0.7%
1.2%
358
325
358
223
349
283
20,088,000
17,987,287
2,100,713
13,472
115,237
6,617
63,571
31,577
28,449
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 37
Per Capita - Family Assistance
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
0.9%
0.8%
1.5%
-1.4%
2.4%
6.3%
5.1%
-0.8%
0.1%
266
161
79
93
253
222
-0.6%
-0.7%
-1.0%
-12.1%
-3.6%
-2.3%
0.6%
-12.3%
-6.4%
191
23
13
5
194
97
62
67
39
30
38
30
45
34
44
212
161
212
131
184
134
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
0.2%
0.1%
0.8%
4.2%
5.1%
8.5%
4.8%
5.8%
5.2%
127
105
52
114
93
102
-2.0%
-2.2%
-1.7%
-9.9%
-6.6%
-6.7%
-5.5%
-9.0%
-8.7%
97
31
33
24
80
75
63
67
40
30
37
29
42
35
46
216
173
219
143
180
131
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
-0.7%
-0.6%
-2.1%
1.9%
2.2%
1.6%
2.2%
2.3%
3.7%
92
84
94
84
83
58
-5.0%
-4.8%
-6.9%
-13.8%
-12.8%
-13.6%
-13.1%
-14.1%
-14.2%
180
155
178
166
184
185
78
83
51
32
43
34
55
36
50
245
197
236
146
231
166
2009
Rank
%
Rank
1989
Rank
71
75
50
20
26
20
34
21
28
312
270
312
221
304
257
65
70
42
29
42
39
53
35
49
225
153
167
118
184
132
Section 3 - Page 38
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Food Stamps
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
17.1%
17.6%
15.5%
25.4%
22.3%
31.4%
21.9%
20.0%
20.8%
43
69
12
77
129
96
4.0%
4.2%
3.2%
-8.3%
-12.1%
-2.4%
-14.1%
-12.3%
-15.6%
335
349
311
352
351
352
36,272,600
29,012,022
7,260,578
47,208
297,756
17,241
146,532
86,775
73,461
131
17
271
44
74
88
2.1%
2.0%
2.2%
1.5%
1.7%
1.2%
2.3%
1.3%
2.1%
291
257
341
137
325
178
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
14.2%
14.4%
13.5%
22.0%
19.6%
23.3%
19.2%
18.5%
18.3%
28
59
27
73
90
95
5.0%
4.9%
4.9%
-1.3%
-3.6%
-1.2%
-5.0%
-2.9%
-6.1%
311
331
310
340
324
342
27,857,800
22,184,486
5,673,314
33,671
221,569
12,015
110,260
65,623
55,745
139
18
284
46
74
89
1.8%
1.8%
2.0%
1.3%
1.5%
1.0%
2.1%
1.1%
1.9%
297
266
341
133
324
170
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
86
145
212
201
221
213
19,442,300
15,600,603
3,841,697
19,168
155,521
7,997
79,422
48,936
41,490
151
21
271
42
70
74
2.3%
2.3%
2.4%
1.3%
1.8%
1.3%
3.0%
1.3%
2.7%
328
246
328
70
322
91
Rank
1989
Rank
%
Rank
241
205
283
63
306
125
12,325,000
9,490,471
2,834,529
8,554
71,983
3,825
36,984
22,620
18,022
187
26
302
60
86
103
2.3%
2.2%
2.7%
0.8%
1.3%
1.1%
2.3%
0.9%
2.0%
345
298
324
163
344
198
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.1%
3.5%
1.6%
8.0%
7.0%
6.4%
7.1%
6.5%
7.9%
51
73
85
69
83
52
-3.1%
-2.8%
-4.4%
-2.9%
-4.3%
-5.4%
-5.3%
-5.6%
-5.5%
Actual
2009
Rank
%
111
14
224
38
65
76
2.56%
2.54%
2.67%
2.27%
2.46%
1.98%
3.31%
1.84%
2.89%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
54,574,000
43,950,014
10,623,986
85,242
521,770
33,973
256,075
146,480
123,665
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 39
Per Capita - Food Stamps
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
16.1%
16.3%
15.1%
22.1%
20.9%
28.4%
20.0%
20.3%
18.5%
56
69
14
91
83
134
3.1%
3.2%
2.8%
-11.3%
-13.2%
-5.4%
-15.4%
-11.7%
-17.9%
346
351
316
353
347
353
120
115
147
103
110
103
125
95
129
238
216
238
163
251
151
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
13.1%
13.2%
13.2%
18.1%
17.9%
20.1%
17.0%
18.6%
16.1%
62
68
29
98
53
132
4.0%
3.7%
4.5%
-4.6%
-5.0%
-3.9%
-6.6%
-2.8%
-8.1%
329
331
325
342
314
346
94
89
116
78
84
76
97
72
102
241
217
247
163
258
145
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
119
159
253
206
192
219
74
72
83
63
70
69
88
55
94
199
164
171
89
239
65
Rank
1989
Rank
50
47
64
31
35
40
45
27
45
266
250
209
178
296
174
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.8%
2.1%
0.8%
5.9%
5.4%
3.0%
5.3%
5.6%
5.9%
58
66
144
69
62
57
-4.2%
-4.0%
-5.1%
-4.9%
-5.8%
-8.0%
-7.0%
-6.7%
-7.2%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
178
171
214
181
190
198
214
161
212
180
159
139
106
225
108
Section 3 - Page 40
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Unemployment Compensation
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
39.4%
39.9%
36.8%
60.8%
53.9%
61.3%
52.0%
53.3%
52.2%
23
57
22
65
60
64
3.2%
3.5%
1.3%
26.0%
16.5%
26.8%
14.7%
13.9%
13.8%
4
15
4
26
36
36
55,744,000
46,806,471
8,937,529
52,214
334,370
19,256
150,862
112,037
67,712
158
29
283
58
82
126
3.2%
3.3%
2.7%
1.6%
1.9%
1.3%
2.4%
1.7%
1.9%
313
283
356
233
313
282
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
28.7%
29.4%
25.7%
40.8%
36.7%
40.6%
36.2%
35.5%
33.9%
43
68
43
73
76
91
-6.1%
-6.5%
-5.3%
5.7%
0.9%
5.7%
0.8%
-1.3%
1.4%
4
26
4
28
53
23
47,624,900
39,750,004
7,874,896
36,260
256,062
13,265
117,330
89,206
52,845
180
34
308
63
84
137
3.1%
3.2%
2.7%
1.4%
1.7%
1.1%
2.2%
1.5%
1.8%
346
312
361
234
328
296
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
6.4%
6.5%
6.0%
10.9%
10.9%
10.2%
10.7%
11.3%
7.3%
55
55
67
58
45
159
-11.5%
-11.7%
-11.5%
-15.5%
-14.9%
-12.7%
-15.5%
-14.8%
-15.4%
205
187
115
209
183
203
24,867,200
20,596,428
4,270,772
13,798
120,798
4,877
55,241
46,883
29,016
215
32
333
69
77
123
3.0%
3.0%
2.7%
0.9%
1.4%
0.8%
2.1%
1.3%
1.9%
358
314
363
228
334
252
2009
Rank
%
Rank
1989
Rank
%
Rank
139
28
262
55
70
114
6.10%
6.34%
5.08%
3.78%
4.21%
3.02%
5.15%
3.77%
4.21%
282
254
333
198
282
255
14,476,000
11,842,235
2,633,765
6,053
54,174
2,258
25,458
20,405
15,470
262
44
350
83
110
138
2.7%
2.7%
2.5%
0.6%
1.0%
0.6%
1.6%
0.8%
1.7%
363
349
363
304
359
295
130,141,000
109,923,250
20,217,750
141,949
892,272
51,848
398,506
299,969
179,763
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 41
Per Capita - Unemployment Compensation
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
38.1%
38.4%
36.4%
56.8%
52.3%
57.9%
49.9%
53.7%
49.6%
27
50
26
68
43
70
2.2%
2.5%
1.0%
21.8%
14.9%
24.1%
12.9%
14.3%
11.1%
4
18
4
31
22
43
184
184
181
112
123
114
128
123
118
271
245
269
232
244
260
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
38.1%
38.4%
36.4%
56.8%
52.3%
57.9%
49.9%
53.7%
49.6%
27
50
26
68
43
70
2.2%
2.5%
1.0%
21.8%
14.9%
24.1%
12.9%
14.3%
11.1%
4
18
4
31
22
43
184
184
181
112
123
114
128
123
118
271
245
269
232
244
260
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
5.1%
5.1%
5.1%
8.8%
9.2%
6.7%
8.8%
10.2%
5.3%
58
50
131
58
27
180
-12.5%
-12.8%
-12.2%
-17.3%
-16.3%
-15.6%
-17.0%
-15.6%
-16.9%
229
199
177
220
177
214
94
95
92
46
55
42
62
53
66
296
248
311
220
254
205
2009
Rank
%
Rank
1989
Rank
59
58
59
22
27
24
31
24
39
340
321
336
298
330
256
424
427
407
301
325
303
333
330
308
244
220
242
214
215
237
Section 3 - Page 42
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Government Transfers - Veterans Pensions and Benefits
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
8.6%
8.8%
8.1%
11.2%
9.9%
10.2%
8.6%
10.7%
9.2%
57
115
100
202
79
157
7.2%
7.2%
6.4%
3.2%
5.0%
4.7%
6.4%
2.2%
5.8%
278
213
229
118
316
159
42,695,600
33,396,940
9,298,660
119,686
647,602
63,751
235,763
228,403
103,327
67
6
134
36
36
75
2.4%
2.3%
2.8%
3.8%
3.7%
4.4%
3.7%
3.4%
2.9%
68
72
46
71
99
136
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
7.9%
8.0%
7.6%
9.7%
8.1%
10.8%
7.7%
7.1%
7.6%
65
180
32
211
267
228
6.0%
6.1%
5.3%
3.9%
3.8%
6.0%
5.5%
0.0%
3.8%
221
222
83
115
345
224
36,050,400
28,146,396
7,904,004
94,701
532,936
50,091
200,477
187,668
86,174
67
7
135
34
38
78
2.4%
2.3%
2.8%
3.5%
3.5%
4.2%
3.8%
3.2%
2.9%
83
81
55
63
110
132
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
141
143
266
76
274
79
20,512,700
15,957,426
4,555,274
48,805
317,937
19,997
109,180
139,955
50,405
77
7
173
34
26
73
2.4%
2.4%
2.9%
3.3%
3.7%
3.2%
4.1%
3.7%
3.3%
106
66
112
56
68
100
Rank
1989
Rank
%
Rank
69
75
48
72
97
135
17,214,000
13,307,633
3,906,367
40,088
265,160
11,992
92,834
120,246
41,120
77
6
212
32
27
73
3.2%
3.0%
3.8%
4.0%
4.7%
3.4%
5.8%
4.6%
4.5%
117
67
183
34
73
75
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.4%
3.5%
3.2%
3.4%
3.0%
8.6%
3.9%
1.4%
3.7%
202
240
23
157
339
172
2.8%
2.7%
2.0%
0.6%
0.6%
-1.5%
1.9%
-1.7%
1.8%
Actual
2009
Rank
%
69
6
137
36
38
75
2.41%
2.33%
2.79%
3.72%
3.61%
4.32%
3.66%
3.35%
2.86%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
51,429,000
40,330,089
11,098,911
139,939
764,493
74,310
283,568
266,676
122,305
% = The percentage this item is of all government tranfers to individuals.
Section 3 - Page 43
Per Capita - Veterans Pensions and Benefits
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
Rank
DF-5
Rank
Avg 5
Rank
7.6%
7.6%
7.7%
7.8%
8.5%
7.2%
6.8%
11.0%
6.8%
184
138
228
246
31
245
6.2%
6.1%
6.0%
-0.2%
3.7%
1.9%
4.6%
2.6%
2.9%
336
213
302
163
266
248
141
132
188
263
239
383
202
250
182
51
64
16
93
61
116
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
7.6%
7.6%
7.7%
7.8%
8.5%
7.2%
6.8%
11.0%
6.8%
184
138
228
246
31
245
6.2%
6.1%
6.0%
-0.2%
3.7%
1.9%
4.6%
2.6%
2.9%
336
213
302
163
266
248
141
132
188
263
239
383
202
250
182
51
64
16
93
61
116
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
175
163
331
75
264
118
77
73
98
159
143
169
120
158
113
22
34
15
59
22
73
Rank
1989
Rank
70
66
88
145
130
126
112
143
103
12
18
22
39
13
57
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.2%
2.2%
2.4%
1.4%
1.4%
5.4%
2.1%
0.5%
1.8%
281
272
40
214
330
228
1.5%
1.4%
1.1%
-1.2%
-1.0%
-4.7%
0.2%
-2.5%
-0.3%
Actual
2009
Rank
%
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
168
157
224
297
278
434
237
293
210
58
69
20
91
60
121
Section 3 - Page 44
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Farm - Total Cash Receipts
(data subject to extreme fluctuations)
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
3.8%
2.8%
4.4%
-2.2%
1.2%
1.3%
2.2%
-18.4%
5.1%
2000-2009
AAI-10
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
Avg 5
Rank
320
227
225
192
367
98
-6.5%
-8.1%
-5.9%
-15.8%
-8.3%
-13.1%
-8.0%
-32.1%
-3.9%
261
99
210
93
360
24
295,368,525
115,784,838
179,583,687
96,745
609,070
31,590
477,972
2,764
381,291
241
46
325
68
366
86
Rank
DF-10
Rank
Avg 10
Rank
4.6%
3.6%
5.2%
-0.3%
0.8%
2.1%
1.3%
-14.8%
2.4%
319
297
250
279
367
236
-3.5%
-4.2%
-3.6%
-10.3%
-6.4%
-10.9%
-7.2%
-24.9%
-8.7%
194
78
217
100
355
138
259,307,058
103,743,392
155,563,666
94,366
575,698
27,862
448,061
5,409
340,841
237
41
330
63
364
87
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
1.4%
1.6%
1.3%
2.1%
2.1%
-0.7%
2.4%
-1.0%
-0.9%
138
141
312
124
328
323
-2.6%
-2.2%
-3.3%
-3.8%
-5.4%
-8.1%
-6.8%
-8.2%
-13.0%
53
85
155
120
156
264
193,758,447
80,908,745
112,849,702
81,196
476,896
24,100
360,168
11,432
277,238
230
40
327
59
355
87
2009
Rank
%
Rank
1989
Rank
173,057,694
71,951,409
101,106,285
74,934
442,674
27,345
328,977
11,418
354,334
224
40
320
59
349
52
301,843,541
116,695,849
185,147,692
84,386
569,078
28,843
454,012
1,837
366,835
251
56
325
73
366
91
Section 3 - Page 45
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Farm - Cash Receipts - Crops
2005-2009
AAI-5
Rank
DF-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
7.9%
5.1%
10.5%
4.3%
4.1%
8.0%
4.2%
-20.2%
7.0%
2000-2009
AAI-10
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
Avg 5
Rank
%-5
Rank
216
221
129
217
367
147
-4.6%
-4.1%
-5.1%
-3.7%
-8.8%
-6.3%
-9.3%
-32.3%
-3.8%
38
119
74
129
335
39
146,134,906
68,513,549
77,621,358
45,272
494,553
15,304
431,526
2,451
341,980
232
36
308
44
361
56
49.5%
59.2%
43.2%
46.8%
81.2%
48.4%
90.3%
88.7%
89.7%
216
80
209
32
45
37
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
7.9%
5.1%
10.5%
4.3%
4.1%
8.0%
4.2%
-20.2%
7.0%
216
221
129
217
367
147
-4.6%
-4.1%
-5.1%
-3.7%
-8.8%
-6.3%
-9.3%
-32.3%
-3.8%
38
119
74
129
335
39
146,134,906
68,513,549
77,621,358
45,272
494,553
15,304
431,526
2,451
341,980
232
36
308
44
361
56
49.5%
59.2%
43.2%
46.8%
81.2%
48.4%
90.3%
88.7%
89.7%
216
80
209
32
45
37
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
1.6%
2.1%
1.2%
4.3%
3.8%
16.4%
3.8%
-0.9%
-1.0%
100
126
5
126
327
328
-3.9%
-3.2%
-5.9%
-7.1%
-7.9%
6.0%
-8.3%
-8.5%
-17.0%
69
75
3
78
79
222
94,223,216
46,333,060
47,890,157
28,406
304,385
4,236
260,708
11,035
224,252
243
40
341
47
315
57
48.6%
57.3%
42.4%
35.0%
63.8%
17.6%
72.4%
96.5%
80.9%
259
131
320
97
9
64
2009
Rank
%
Rank
1989
Rank
%
Rank
235
41
310
50
361
60
54.44%
63.44%
48.76%
51.54%
84.12%
51.98%
92.21%
83.56%
91.32%
214
77
212
32
81
39
80,986,237
39,284,025
41,702,212
23,007
265,272
1,550
229,783
10,932
303,602
250
39
357
48
307
29
46.8%
54.6%
41.2%
30.7%
59.9%
5.7%
69.8%
95.7%
85.7%
259
131
363
101
9
34
164,309,503
74,032,386
90,277,117
43,494
478,687
14,993
418,665
1,535
334,991
% = The percentage this item is of Farm Receipts
Section 3 - Page 46
Farm - Cash Receipts - Livestock
2005-2009
AAI-5
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Rank
DF-5
Rank
Avg 5
Rank
%-5
Rank
0.0%
-0.3%
0.2%
-6.1%
-8.4%
-3.4%
-11.1%
-1.4%
-7.0%
321
341
266
359
215
327
-11.6%
-16.7%
-9.2%
-30.3%
-23.0%
-21.3%
-26.8%
-36.8%
-15.5%
328
270
252
308
354
153
149,233,619
47,271,289
101,962,329
51,473
114,517
16,286
46,446
313
39,311
189
116
285
202
367
215
50.5%
40.8%
56.8%
53.2%
18.8%
51.6%
9.7%
11.3%
10.3%
152
287
159
336
323
330
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
%-10
Rank
3.2%
2.3%
3.6%
-2.0%
-5.3%
-1.7%
-8.5%
0.9%
-4.9%
315
348
310
364
227
345
-7.7%
-12.1%
-6.1%
-20.2%
-17.7%
-18.6%
-20.3%
-20.9%
-11.8%
271
242
258
272
279
110
134,467,992
43,022,333
91,445,659
53,813
128,951
15,973
58,817
348
42,740
178
97
290
171
367
199
51.9%
41.5%
58.8%
57.0%
22.4%
57.3%
13.1%
6.4%
12.5%
136
281
134
320
350
323
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
%-P10
Rank
1.4%
1.1%
1.6%
1.2%
-0.6%
-3.2%
-0.8%
-2.1%
1.0%
153
245
325
253
291
168
-3.7%
-3.3%
-4.3%
-5.1%
-7.0%
-11.1%
-9.4%
-18.0%
-7.2%
42
84
192
147
307
87
99,535,230
34,575,685
64,959,545
52,790
172,511
19,864
99,460
397
52,986
175
52
269
99
366
174
51.4%
42.7%
57.6%
65.0%
36.2%
82.4%
27.6%
3.5%
19.1%
109
236
48
271
359
303
2009
Rank
%
Rank
1989
Rank
%
Rank
204
128
287
216
367
225
45.56%
36.56%
51.24%
48.46%
15.88%
48.02%
7.79%
16.44%
8.68%
154
290
156
336
287
328
92,071,457
32,667,384
59,404,073
51,927
177,402
25,795
99,194
486
50,732
171
47
251
99
366
172
53.2%
45.4%
58.8%
69.3%
40.1%
94.3%
30.2%
4.3%
14.3%
109
236
5
267
359
333
137,534,038
42,663,463
94,870,575
40,892
90,391
13,850
35,347
302
31,844
% = The percentage this item is of Farm Receipts
Section 3 - Page 47
Farm - Government Payments
2005-2009
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2000-2009
AAI-5
Rank
DF-5
Rank
Avg 5
Rank
6.2%
7.7%
5.7%
na
484.8%
81.1%
1079.5%
na
47.7%
na
2
44
1
na
78
-48.5%
-46.9%
-49.5%
na
-638.8%
-188.8%
-1236.2%
na
-161.7%
na
350
328
352
na
321
15,318,475
4,327,513
10,990,962
599
5,236
355
4,272
0
11,625
327
188
343
214
na
117
AAI-10
Rank
DF-10
Rank
Avg 10
Rank
na
350
328
352
na
321
15,318,475
4,327,513
10,990,962
599
5,236
355
4,272
0
11,625
327
188
343
214
na
117
Rank
Avg P10
Rank
305
236
357
284
na
213
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
6.2%
7.7%
5.7%
na
484.8%
81.1%
1079.5%
na
47.7%
na
2
44
1
na
78
-48.5%
-46.9%
-49.5%
na
-638.8%
-188.8%
-1236.2%
na
-161.7%
1990-1999
AAI-P10
Rank
DF-P10
12.5%
13.4%
12.3%
na
58.6%
na
33.0%
na
88.5%
na
20
na
57
na
10
-14.9%
-16.8%
-14.8%
na
-50.2%
na
-67.4%
na
-35.4%
na
237
na
292
na
124
10,396,994
2,672,241
7,724,753
468
1,261
95
684
0
1,729
2009
Rank
%
Rank
1989
Rank
10,886,702
3,046,259
7,840,443
341
2,361
51
1,969
0
365
323
208
355
220
na
319
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
12,262,589
3,639,662
8,622,927
384
1,320
122
814
0
122
329
282
348
314
na
348
Section 3 - Page 48
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Per Capita - Farm Government Payments
2005-2009
Rank
DF-5
5.3%
6.5%
5.4%
na
479.8%
74.5%
1068.1%
na
43.8%
2000-2009
AAI-10
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1990-1999
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
Actual
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
AAI-5
Rank
Avg 5
Rank
na
2
50
1
na
82
-49.0%
-47.5%
-49.7%
na
-634.6%
-184.0%
-1225.8%
na
-161.4%
na
350
326
352
na
321
51
17
223
1
2
2
4
0
21
336
327
325
288
na
166
Rank
DF-10
Rank
Avg 10
Rank
-0.7%
0.1%
-0.4%
na
255.3%
53.5%
556.5%
na
101.2%
na
2
43
1
na
10
-52.6%
-52.0%
-52.8%
na
-406.7%
-209.3%
-657.6%
na
-116.4%
na
343
332
345
na
298
56
19
242
2
2
2
3
0
14
324
335
322
304
na
199
AAI-P10
Rank
DF-P10
Rank
Avg P10
Rank
11.1%
11.9%
11.4%
na
56.3%
na
30.6%
na
84.9%
na
18
na
57
na
10
-15.9%
-17.9%
-15.5%
na
-51.1%
na
-68.1%
na
-36.2%
na
237
na
292
na
124
39
12
166
2
1
1
1
0
4
315
344
334
336
na
235
2009
Rank
%
Rank
1989
Rank
44
15
177
1
1
1
2
0
1
326
330
341
311
na
333
40
14
174
1
0
1
1
0
0
332
341
335
337
na
350
Section 3 - Page 49
%-5
Rank
%-10
Rank
%-P10
Rank
%
Rank
Data Set 2 - Industry Data
Data Set 2 – Industry Data includes the most recently published industry data based upon the North American
Industrial Classification System. Data is provided for 2009 and 2001. For each of the 24 naICS industrial sectors, the
employment, earnings, and wage growth has been calculated and ranked. Definitions for the industrial sectors appear
in Section 4.
Forestry, Fishing, Agricultural Services
Mining
Utilities
Construction
Manufacturing
Wholesale Trade
Retail Trade
Transportation and Warehousing
Information
Finance and Insurance
Real Estate, Rental and Leasing
Professional and Technical Services
Management of Companies
Administrative and Waste Services
Educational Services
Health Care and Social Assistance
Arts, Entertainment, and Recreation
Accommodation and Food Services
Other Services
Federal, civilian
Military
State and Local Government
State Government
Local Government
Farm
Page
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
05-09 - Average annual increase 2005 - 2009
01-09 - Average annual increase 2001 - 2009
2009 - Actual data for the year.
2009 % - The percentage this item is of the whole.
2001 - Actual data for the year.
2001 % - The percentage this item is of the whole.
RANK:
MSA - x/ 366 AREAS
MicSA - x / 576 AREAS
State - x/50
Section 3- Page 50
Forestry and Fishing
(data suppression prevalent)
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.9%
2.4%
1.0%
8.4%
0.4%
8.4%
-0.1%
na
na
Rank
01-09
5
76
5
80
na
na
2.4%
3.0%
1.5%
na
na
0.4%
1.6%
na
na
Rank
2009
na
na
57
47
na
na
24,390,000
15,182,229
9,207,771
15,698
91,772
3,771
68,232
7,842
153,730
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
79
27
145
32
105
18
0.3%
0.2%
1.0%
0.3%
0.1%
0.2%
0.2%
0.0%
1.4%
57
112
80
94
155
17
20,266,000
12,057,175
8,208,825
9,355
86,665
4,070
61,784
11,456
112,240
83
23
112
28
77
17
0.3%
0.2%
1.1%
0.3%
0.2%
0.3%
0.2%
0.1%
1.4%
58
83
58
75
120
17
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
69
18
113
24
71
13
0.5%
0.3%
1.3%
0.6%
0.3%
0.6%
0.5%
0.1%
2.3%
52
89
51
64
149
14
801,500
486,484
315,016
553
4,814
235
3,317
709
5,134
65
14
96
24
57
11
0.5%
0.3%
1.3%
0.5%
0.3%
0.5%
0.5%
0.1%
2.2%
48
65
49
50
112
13
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
98
113
154
111
154
73
57.5%
56.0%
77.8%
61.3%
40.3%
37.8%
37.8%
25.6%
62.0%
69
125
134
134
150
67
25,285
24,784
26,058
16,917
18,003
17,319
18,626
16,158
21,862
104
91
100
85
106
66
61.1%
56.9%
90.1%
62.2%
49.1%
65.1%
47.4%
45.0%
64.7%
67
94
58
101
104
59
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.8%
1.0%
0.7%
5.3%
na
11.1%
-1.6%
na
na
Rank
01-09
6
na
1
76
na
na
0.6%
0.6%
0.5%
na
na
5.0%
1.1%
na
na
Rank
2009
na
na
6
33
na
na
836,300
510,117
326,183
726
4,885
329
3,456
703
5,997
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.1%
1.5%
0.4%
3.1%
na
-2.2%
2.1%
na
na
Rank
01-09
27
na
85
47
na
na
1.9%
2.4%
1.1%
na
na
-4.6%
1.0%
na
na
Rank
2009
na
na
77
50
na
na
29,164
29,762
28,229
21,623
18,786
11,462
19,743
11,155
25,634
% = The percentage this item is of All Worker Wages
Section 3- Page 51
Mining
(data suppression prevalent)
Earnings
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
13.3%
13.8%
11.6%
17.9%
na
-16.3%
92.7%
na
na
Rank
01-09
30
na
128
1
na
na
11.6%
12.4%
9.3%
na
na
-6.7%
59.6%
na
na
Rank
2009
na
na
115
1
na
na
124,768,000
96,472,642
28,295,358
4,577
315,453
5,458
31,492
279,384
79,056
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
182
35
177
96
39
74
1.4%
1.2%
3.1%
0.1%
0.5%
0.3%
0.1%
1.2%
0.7%
171
83
98
184
54
70
57,184,000
42,468,237
14,715,763
1,959
99,593
16,352
4,976
76,306
129,783
171
42
100
146
56
37
0.8%
0.7%
2.1%
0.1%
0.2%
1.4%
0.0%
0.4%
1.7%
160
106
41
181
75
38
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
139
53
167
80
80
73
0.8%
0.6%
1.9%
0.2%
0.2%
0.3%
0.2%
0.2%
0.6%
121
151
95
167
136
67
806,400
504,409
301,991
135
1,267
393
376
363
2,445
139
55
93
95
97
38
0.5%
0.4%
1.2%
0.1%
0.1%
0.9%
0.1%
0.1%
1.1%
118
147
38
171
164
35
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
177
9
135
133
2
76
181.2%
206.9%
161.9%
40.2%
261.0%
91.5%
53.9%
558.8%
125.4%
167
7
107
154
1
72
70,913
84,194
48,729
14,511
78,605
41,608
13,234
210,209
53,081
162
12
89
163
1
58
171.5%
193.4%
168.5%
53.3%
214.2%
156.4%
33.7%
585.7%
157.2%
155
16
52
164
1
51
% = The percentage this item is of All Worker Earnings
Employment
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
11.8%
12.7%
10.3%
20.5%
na
-10.6%
33.4%
na
na
Rank
01-09
13
na
126
1
na
na
7.0%
7.5%
6.2%
na
na
-4.5%
19.7%
na
na
Rank
2009
na
na
113
2
na
na
1,358,500
877,046
481,454
323
2,591
197
1,120
1,148
1,524
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.1%
0.9%
1.0%
-2.1%
na
-9.1%
23.7%
na
na
Rank
01-09
84
na
112
1
na
na
4.3%
4.7%
2.8%
na
na
-4.4%
18.1%
na
na
Rank
2009
na
na
99
2
na
na
91,842
109,997
58,771
14,170
121,750
27,706
28,118
243,366
51,874
% = The percentage this item is of All Worker Wages
Section 3- Page 52
Utilities
(data suppression prevalent)
Earnings
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
4.9%
5.0%
4.4%
5.0%
na
na
na
-16.1%
0.2%
Rank
01-09
90
na
na
na
184
161
4.2%
4.2%
4.6%
5.3%
na
na
na
-8.7%
5.9%
Rank
2009
79
na
na
na
164
63
77,546,000
65,208,195
12,337,805
65,103
565,043
11,687
443,713
44,540
55,567
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
92
16
218
21
119
96
0.9%
0.8%
1.3%
1.4%
0.8%
0.7%
1.1%
0.2%
0.5%
30
99
123
42
227
160
56,230,000
47,602,925
8,627,075
43,598
534,519
0
324,877
166,044
37,333
91
13
na
22
39
96
0.8%
0.8%
1.2%
1.6%
1.0%
0.0%
1.2%
0.9%
0.5%
23
42
na
36
65
151
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
76
13
201
22
92
89
0.3%
0.3%
0.5%
0.6%
0.3%
0.3%
0.4%
0.1%
0.2%
22
107
117
66
222
162
615,800
494,033
121,767
710
6,548
0
3,603
2,235
582
81
11
na
20
28
87
0.4%
0.4%
0.5%
0.7%
0.5%
0.0%
0.5%
0.4%
0.3%
20
45
na
39
60
134
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
194
37
213
15
201
137
254.9%
259.9%
265.2%
232.1%
275.8%
241.1%
296.1%
181.6%
232.4%
127
42
104
25
208
126
91,312
96,356
70,849
61,406
81,631
na
90,168
74,293
64,146
168
59
na
41
90
159
220.8%
221.3%
245.1%
225.6%
222.5%
na
229.7%
207.0%
189.9%
68
75
na
58
113
147
% = The percentage this item is of All Worker Earnings
Employment
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
0.9%
0.7%
1.5%
2.7%
na
na
na
-17.5%
0.2%
Rank
01-09
58
na
na
na
179
130
-0.3%
-0.5%
0.7%
1.5%
na
na
na
-12.6%
0.2%
Rank
2009
62
na
na
na
159
97
600,200
472,031
128,169
795
4,391
160
2,873
563
578
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.0%
4.3%
2.9%
2.3%
na
na
na
-2.0%
0.1%
Rank
01-09
134
na
na
na
177
170
4.6%
4.8%
4.0%
3.7%
na
na
na
1.8%
5.6%
Rank
2009
110
na
na
na
146
40
129,200
138,144
96,262
81,891
128,682
73,044
154,442
79,112
96,137
% = The percentage this item is of All Worker Wages
Section 3- Page 53
Construction
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-1.4%
-1.5%
-0.8%
-2.3%
-1.6%
-7.4%
-0.8%
-1.8%
0.3%
Rank
01-09
213
180
330
151
183
122
0.9%
0.9%
1.0%
5.2%
3.5%
1.7%
4.5%
2.0%
2.5%
Rank
2009
24
73
149
40
131
112
477,797,000
425,766,669
52,030,331
330,778
3,781,029
104,010
2,122,303
1,223,938
612,692
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
186
25
329
43
60
114
5.4%
5.4%
5.7%
7.2%
5.5%
6.0%
5.5%
5.1%
5.7%
66
170
124
173
207
147
455,044,000
406,022,956
49,021,044
250,567
3,021,138
107,320
1,580,046
1,083,205
539,181
199
28
321
48
64
123
6.6%
6.6%
6.8%
9.1%
5.8%
8.9%
5.6%
5.6%
6.9%
51
257
53
273
275
164
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
161
21
284
48
55
105
5.5%
5.4%
6.1%
6.9%
5.4%
6.9%
5.3%
5.1%
6.0%
46
180
46
198
216
120
9,817,700
8,286,616
1,531,084
8,906
82,000
4,177
38,990
29,927
15,765
157
21
277
47
52
104
5.9%
5.9%
6.2%
8.8%
5.8%
9.3%
5.4%
5.5%
6.8%
18
188
14
241
232
89
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
283
138
345
69
179
234
99.2%
100.8%
92.2%
103.3%
100.7%
86.2%
102.9%
100.8%
95.8%
153
178
295
156
178
221
46,349
48,997
32,017
28,135
36,843
25,693
40,524
36,195
34,201
337
221
345
158
229
264
112.1%
112.5%
110.7%
103.4%
100.4%
96.6%
103.2%
100.8%
101.3%
261
279
307
262
278
274
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-1.5%
-1.7%
-0.4%
-5.1%
-3.8%
-5.7%
-3.6%
-3.2%
-1.9%
Rank
01-09
312
275
322
271
260
187
-0.2%
-0.3%
0.3%
1.2%
0.3%
0.5%
0.8%
-0.6%
0.2%
Rank
2009
81
138
128
105
208
141
9,505,000
7,949,536
1,555,464
9,070
80,461
3,985
39,528
27,878
15,455
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-0.1%
0.1%
-0.5%
2.3%
2.2%
-2.5%
2.9%
1.3%
1.7%
Rank
01-09
49
52
308
31
95
75
1.1%
1.1%
0.6%
3.4%
3.1%
0.4%
3.6%
2.5%
1.9%
Rank
2009
33
42
235
23
75
106
50,268
53,559
33,450
36,469
46,992
26,100
53,691
43,903
39,644
% = The percentage this item is of All Worker Wages
Section 3- Page 54
Manufacturing
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-0.4%
-0.2%
-1.3%
1.4%
0.6%
4.5%
0.1%
0.9%
0.1%
Rank
01-09
108
146
40
174
133
167
0.0%
0.1%
-0.1%
7.1%
1.7%
2.3%
2.1%
1.2%
0.9%
Rank
2009
12
109
86
92
135
149
900,278,000
766,741,932
133,536,068
185,996
4,379,883
58,073
1,830,985
2,304,829
1,027,981
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
329
41
361
86
68
144
10.2%
9.7%
14.5%
4.0%
6.3%
3.3%
4.7%
9.7%
9.6%
329
284
343
317
206
207
903,729,000
767,655,265
136,073,735
113,263
3,855,931
51,825
1,583,503
2,107,340
975,217
342
43
356
99
75
140
13.2%
12.5%
19.0%
4.1%
7.5%
4.3%
5.6%
10.8%
12.4%
337
294
337
326
234
205
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
331
34
360
91
66
136
7.1%
6.7%
9.9%
2.4%
4.4%
2.1%
3.6%
6.3%
6.1%
348
289
351
316
210
216
16,913,600
13,470,452
3,443,148
3,123
82,671
1,408
33,822
44,318
18,098
338
35
358
92
64
149
10.2%
9.6%
13.9%
3.1%
5.9%
3.1%
4.7%
8.2%
7.8%
340
294
340
320
227
241
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
256
149
345
137
150
174
143.3%
146.1%
146.1%
165.0%
143.8%
156.6%
132.5%
153.9%
158.0%
85
207
129
269
151
116
53,432
56,988
39,520
36,267
46,642
36,808
46,819
47,550
53,885
329
196
324
194
183
114
129.2%
130.9%
136.7%
133.3%
127.1%
138.4%
119.2%
132.5%
159.6%
199
248
165
287
205
54
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-3.4%
-3.2%
-4.0%
-2.2%
-3.2%
1.4%
-3.6%
-3.0%
-2.3%
Rank
01-09
134
191
18
217
181
139
-3.7%
-3.7%
-3.7%
0.8%
-2.8%
-1.0%
-2.8%
-3.0%
-1.6%
Rank
2009
25
154
61
158
168
83
12,393,700
9,875,150
2,518,550
3,195
65,303
1,224
26,497
34,387
15,727
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.1%
3.1%
2.8%
3.8%
3.9%
2.8%
3.8%
4.1%
2.5%
Rank
01-09
94
84
196
94
76
230
3.9%
4.0%
3.8%
6.2%
4.7%
3.5%
5.0%
4.4%
2.6%
Rank
2009
13
71
224
45
110
316
72,640
77,644
53,021
58,215
67,070
47,445
69,102
67,026
65,364
% = The percentage this item is of All Worker Wages
Section 3- Page 55
Wholesale Trade
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.8%
2.7%
3.8%
7.9%
2.9%
na
3.0%
2.2%
4.4%
Rank
01-09
24
171
na
159
202
95
3.0%
2.9%
4.4%
7.7%
2.5%
na
3.4%
0.2%
5.9%
Rank
2009
28
221
na
178
277
69
448,492,000
416,618,624
31,873,376
128,256
3,592,418
40,966
2,313,528
1,109,668
592,954
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
236
26
321
35
59
87
5.1%
5.3%
3.5%
2.8%
5.2%
2.4%
5.9%
4.7%
5.5%
271
94
294
55
137
72
357,750,000
335,023,409
22,726,591
72,072
2,971,011
0
1,787,294
1,111,645
379,891
273
25
na
37
52
99
5.2%
5.5%
3.2%
2.6%
5.8%
0.0%
6.3%
5.7%
4.8%
269
60
na
44
65
109
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
219
21
311
34
55
88
3.5%
3.7%
2.6%
2.0%
3.6%
1.9%
4.4%
3.1%
3.8%
282
98
286
35
166
78
6,231,400
5,599,508
631,892
1,983
55,053
0
33,066
20,004
9,400
252
22
na
34
52
89
3.8%
4.0%
2.5%
2.0%
3.9%
0.0%
4.6%
3.7%
4.0%
279
87
na
41
107
76
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
275
94
327
71
107
147
143.6%
142.2%
134.9%
138.3%
143.4%
122.1%
134.5%
149.9%
146.0%
153
121
268
172
83
101
57,411
59,831
35,966
36,345
53,966
na
54,052
55,571
40,414
282
67
na
67
60
237
138.8%
137.4%
124.4%
133.5%
147.1%
na
137.7%
154.8%
119.7%
126
42
na
89
21
246
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.0%
0.0%
0.2%
1.5%
0.1%
na
0.2%
-0.4%
-0.8%
Rank
01-09
78
166
na
154
198
223
-0.1%
-0.2%
0.4%
3.7%
-0.2%
na
0.0%
-1.8%
0.7%
Rank
2009
21
189
na
171
264
132
6,161,900
5,510,975
650,925
2,628
53,696
1,108
32,967
16,993
9,818
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.7%
2.7%
3.6%
6.1%
2.7%
na
2.7%
2.6%
5.2%
Rank
01-09
10
156
na
155
173
21
3.0%
3.0%
3.9%
3.9%
2.7%
na
3.3%
2.1%
5.2%
Rank
2009
95
206
na
154
254
27
72,785
75,598
48,966
48,804
66,903
36,973
70,177
65,301
60,395
% = The percentage this item is of All Worker Wages
Section 3- Page 56
Retail Trade
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.1%
0.1%
0.6%
3.7%
0.3%
2.5%
0.4%
-0.8%
2.6%
Rank
01-09
20
210
47
201
291
42
1.4%
1.3%
1.8%
5.2%
2.1%
5.4%
2.4%
0.7%
2.6%
Rank
2009
6
149
4
120
295
96
525,110,000
456,827,405
68,282,595
552,418
5,091,103
205,235
2,496,002
1,837,448
825,999
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
148
18
296
44
51
102
6.0%
5.8%
7.4%
12.0%
7.4%
11.8%
6.4%
7.7%
7.7%
4
123
4
223
89
91
472,344,000
412,839,156
59,504,844
371,111
4,354,501
136,834
2,092,594
1,753,962
677,949
179
20
340
43
49
110
6.9%
6.7%
8.3%
13.4%
8.4%
11.4%
7.4%
9.0%
8.6%
2
126
14
231
85
110
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
142
19
295
44
52
104
10.2%
10.0%
11.2%
15.5%
10.9%
14.3%
9.9%
10.9%
11.3%
4
184
7
286
191
162
18,256,800
15,333,474
2,923,326
17,092
165,168
7,024
75,111
65,941
28,430
176
21
330
48
52
108
11.0%
10.9%
11.8%
16.8%
11.7%
15.6%
10.4%
12.2%
12.2%
1
196
7
315
148
143
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
166
46
271
20
60
132
58.5%
57.8%
66.5%
77.3%
67.4%
82.5%
64.7%
70.8%
68.4%
21
82
8
125
50
73
25,872
26,924
20,355
21,713
26,364
19,481
27,860
26,599
23,846
234
75
339
43
69
136
62.6%
61.8%
70.4%
79.8%
71.9%
73.2%
71.0%
74.1%
70.6%
27
91
75
101
69
105
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-0.7%
-0.7%
-0.8%
2.0%
-0.7%
0.6%
-0.8%
-1.7%
0.7%
Rank
01-09
5
197
55
202
302
54
-0.4%
-0.4%
-0.4%
2.2%
-0.2%
2.0%
-0.1%
-1.2%
0.4%
Rank
2009
6
178
9
168
307
110
17,702,100
14,872,196
2,829,904
20,262
161,984
8,208
73,907
59,607
29,209
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.8%
0.7%
1.4%
1.6%
1.0%
1.9%
1.1%
0.8%
1.9%
Rank
01-09
104
200
75
176
244
72
1.7%
1.7%
2.2%
2.9%
2.2%
3.2%
2.5%
1.9%
2.2%
Rank
2009
47
134
20
102
203
145
29,664
30,717
24,129
27,264
31,430
25,004
33,772
30,826
28,279
% = The percentage this item is of All Worker Wages
Section 3- Page 57
Transportation and Warehousing
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.9%
1.8%
2.5%
3.9%
na
-4.4%
na
1.1%
1.6%
Rank
01-09
71
na
230
na
176
157
2.2%
2.0%
3.3%
5.8%
na
-1.2%
na
3.4%
2.9%
Rank
2009
43
na
197
na
103
120
290,157,000
253,559,135
36,597,865
72,052
1,443,571
89,951
1,010,603
270,965
637,639
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
234
33
222
39
111
62
3.3%
3.2%
4.0%
1.6%
2.1%
5.2%
2.6%
1.1%
5.9%
254
211
42
175
275
24
246,156,000
217,796,927
28,359,073
48,416
1,387,256
101,734
1,018,712
218,394
508,005
225
23
157
31
98
50
3.6%
3.6%
4.0%
1.8%
2.7%
8.5%
3.6%
1.1%
6.5%
214
155
6
105
246
20
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
200
25
201
35
91
50
3.2%
3.2%
3.1%
1.7%
2.2%
3.8%
2.8%
1.5%
5.3%
241
194
62
136
263
15
5,478,000
4,724,836
753,164
1,727
36,740
2,628
24,322
8,063
12,918
202
19
152
29
77
50
3.3%
3.4%
3.0%
1.7%
2.6%
5.8%
3.4%
1.5%
5.6%
221
145
9
82
236
10
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
276
203
237
121
275
165
104.1%
101.3%
128.0%
93.2%
93.4%
136.3%
93.2%
78.1%
111.5%
237
235
30
237
271
125
44,935
46,096
37,653
28,035
37,759
38,712
41,884
27,086
39,325
243
144
132
87
245
115
108.7%
105.9%
130.2%
103.0%
102.9%
145.5%
106.7%
75.5%
116.4%
177
177
25
152
246
98
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.3%
0.4%
0.3%
2.8%
na
-4.5%
na
-1.4%
0.0%
Rank
01-09
36
na
225
na
189
154
0.1%
0.0%
0.6%
3.4%
na
-2.1%
na
0.0%
0.9%
Rank
2009
26
na
185
na
139
93
5,499,300
4,711,509
787,791
2,191
33,113
2,179
20,781
7,962
13,822
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.5%
1.4%
2.2%
0.9%
na
0.2%
na
2.3%
1.6%
Rank
01-09
166
na
188
na
75
113
2.0%
2.0%
2.7%
2.2%
na
0.9%
na
3.1%
2.0%
Rank
2009
123
na
180
na
71
130
52,763
53,817
46,456
32,885
43,595
41,281
48,631
34,032
46,132
% = The percentage this item is of All Worker Wages
Section 3- Page 58
Information
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.9%
1.9%
0.7%
7.2%
0.7%
-2.2%
0.1%
2.4%
-0.2%
Rank
01-09
19
190
285
215
118
226
1.3%
1.3%
1.5%
6.7%
1.0%
1.3%
2.4%
-2.0%
1.1%
Rank
2009
37
203
183
147
294
192
299,885,000
289,215,436
10,669,564
48,016
2,390,167
11,238
1,759,677
571,236
120,289
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
263
22
363
28
65
162
3.4%
3.7%
1.2%
1.0%
3.5%
0.6%
4.5%
2.4%
1.1%
298
40
353
16
95
281
270,894,000
261,436,375
9,457,625
30,846
2,231,349
10,317
1,468,912
721,274
111,519
286
19
352
30
51
152
4.0%
4.3%
1.3%
1.1%
4.3%
0.9%
5.2%
3.7%
1.4%
302
25
330
18
44
259
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
247
21
350
30
58
150
1.9%
2.1%
1.0%
0.9%
2.2%
0.8%
2.8%
1.8%
1.0%
328
46
338
15
90
307
4,047,800
3,754,476
293,324
1,012
43,104
432
25,407
16,253
2,945
273
19
347
29
47
147
2.4%
2.7%
1.2%
1.0%
3.1%
1.0%
3.5%
3.0%
1.3%
319
28
323
19
33
270
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
298
48
363
31
121
214
176.1%
175.3%
115.2%
117.2%
157.0%
81.2%
159.0%
133.8%
115.4%
187
47
343
46
107
201
66,924
69,633
32,243
30,480
51,767
23,882
57,815
44,378
37,867
325
71
351
42
115
198
161.8%
159.9%
111.5%
112.0%
141.1%
89.8%
147.3%
123.6%
112.1%
211
56
326
43
127
210
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-1.1%
-1.1%
-1.5%
3.3%
-2.3%
1.5%
-2.7%
-2.0%
-1.6%
Rank
01-09
27
233
60
253
219
197
-2.3%
-2.3%
-1.7%
2.2%
-3.3%
1.0%
-2.2%
-5.6%
-1.8%
Rank
2009
34
263
53
189
317
170
3,359,300
3,104,045
255,255
1,161
32,631
457
21,214
9,799
2,520
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.0%
3.0%
2.2%
3.3%
3.1%
-3.4%
2.9%
4.5%
1.4%
Rank
01-09
83
103
331
116
34
217
3.7%
3.7%
3.3%
4.2%
4.5%
0.7%
4.7%
3.6%
3.0%
Rank
2009
92
74
303
65
135
186
89,270
93,174
41,800
41,357
73,248
24,591
82,949
58,295
47,734
% = The percentage this item is of All Worker Wages
Section 3- Page 59
Finance and Insurance
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.9%
1.9%
3.2%
6.4%
1.9%
-5.2%
3.2%
-0.6%
3.7%
Rank
01-09
33
219
360
141
331
122
2.5%
2.5%
3.8%
5.3%
3.7%
-0.5%
4.5%
2.4%
5.0%
Rank
2009
79
179
350
126
272
102
608,246,000
580,002,205
28,243,795
151,230
5,750,647
49,266
3,800,445
1,749,706
600,606
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
227
20
358
34
51
99
6.9%
7.3%
3.1%
3.3%
8.3%
2.8%
9.8%
7.3%
5.6%
233
27
275
12
44
96
503,430,000
482,351,406
21,078,594
103,800
4,350,435
53,863
2,697,678
1,495,094
410,855
234
20
320
36
48
106
7.4%
7.9%
2.9%
3.8%
8.4%
4.5%
9.6%
7.7%
5.2%
200
22
151
13
33
107
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
184
16
279
36
49
106
5.4%
5.8%
3.5%
4.4%
7.4%
4.9%
8.5%
6.8%
5.2%
170
13
130
7
32
106
7,805,600
7,102,441
703,159
3,637
89,977
1,817
52,754
31,769
10,355
206
17
302
34
49
102
4.7%
5.0%
2.8%
3.6%
6.4%
4.0%
7.3%
5.9%
4.5%
179
19
135
9
37
102
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
352
74
364
40
113
130
127.2%
127.6%
88.4%
74.0%
112.5%
57.7%
114.7%
107.3%
108.1%
317
82
354
67
113
108
64,496
67,913
29,977
28,540
48,351
29,644
51,137
47,061
39,677
346
87
339
57
99
163
156.0%
156.0%
103.7%
104.9%
131.8%
111.4%
130.2%
131.1%
117.5%
250
75
186
82
81
141
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.3%
3.2%
4.1%
9.7%
2.8%
8.1%
2.5%
2.2%
3.7%
Rank
01-09
6
234
18
255
272
170
2.4%
2.4%
2.9%
6.2%
2.5%
5.7%
2.4%
2.1%
3.3%
Rank
2009
22
201
41
206
235
148
9,432,000
8,552,197
879,803
5,791
109,541
2,819
63,507
37,424
13,432
% = The percentage this item is of All Worker Employment
Wages
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
-1.2%
-1.2%
-0.7%
-3.3%
-0.9%
-12.3%
0.7%
-2.8%
0.0%
Rank
01-09
299
211
364
98
289
140
0.2%
0.2%
1.0%
-0.8%
1.2%
-5.7%
2.1%
0.2%
1.6%
Rank
2009
298
165
359
82
241
119
64,487
67,819
32,102
26,115
52,498
17,476
59,843
46,754
44,715
% = The percentage this item is of All Worker Wages
Section 3- Page 60
Real Estate
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-3.5%
-3.5%
-2.2%
2.8%
-1.8%
-2.8%
-1.6%
-2.5%
8.0%
Rank
01-09
24
134
177
132
167
9
-0.6%
-0.6%
-0.6%
7.0%
2.8%
3.1%
2.3%
3.2%
6.2%
Rank
2009
13
69
62
85
61
16
151,989,000
141,901,786
10,087,214
65,994
1,236,391
24,404
712,806
433,187
144,871
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
195
23
311
42
52
116
1.7%
1.8%
1.1%
1.4%
1.8%
1.4%
1.8%
1.8%
1.4%
132
61
135
58
61
149
161,785,000
150,946,222
10,838,778
39,826
1,025,421
20,389
612,893
352,313
97,479
254
33
327
47
57
155
2.4%
2.5%
1.5%
1.4%
2.0%
1.7%
2.2%
1.8%
1.2%
222
126
175
99
158
261
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
149
21
257
50
48
101
4.3%
4.5%
3.4%
5.1%
4.6%
4.9%
3.9%
5.5%
4.4%
50
77
56
145
32
92
5,547,400
4,920,254
627,146
3,543
46,556
1,821
21,128
20,064
6,046
190
22
273
48
50
135
3.4%
3.5%
2.5%
3.5%
3.3%
4.0%
2.9%
3.7%
2.6%
85
115
41
161
68
217
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
325
83
344
20
189
240
39.8%
40.0%
32.3%
28.1%
38.7%
28.5%
47.4%
32.9%
30.8%
280
96
273
25
190
229
29,164
30,679
17,283
11,241
22,026
11,197
29,009
17,559
16,123
348
140
348
65
237
270
70.5%
70.5%
59.8%
41.3%
60.0%
42.1%
73.9%
48.9%
47.7%
313
152
312
74
260
267
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.0%
3.0%
3.1%
5.9%
2.7%
2.5%
1.5%
3.3%
7.8%
Rank
01-09
43
201
212
281
162
6
4.0%
4.0%
4.1%
8.6%
5.2%
6.0%
4.1%
5.5%
8.4%
Rank
2009
8
98
52
153
80
8
7,534,100
6,673,096
861,004
6,662
68,513
2,829
28,831
30,191
11,360
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-6.2%
-6.3%
-5.1%
-2.9%
-4.5%
-5.4%
-3.2%
-5.6%
0.1%
Rank
01-09
70
133
164
78
177
20
-4.4%
-4.3%
-4.5%
-1.5%
-2.4%
-2.9%
-1.9%
-2.3%
-2.2%
Rank
2009
80
112
141
94
105
103
20,173
21,265
11,716
9,906
18,046
8,626
24,724
14,348
12,753
% = The percentage this item is of All Worker Wages
Section 3- Page 61
Professional and Technical
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
6.0%
6.0%
6.6%
6.5%
6.9%
na
7.9%
4.3%
5.3%
Rank
01-09
122
98
na
57
239
187
4.9%
4.8%
5.8%
8.8%
5.6%
na
6.4%
3.7%
9.1%
Rank
2009
30
131
na
95
233
26
886,691,000
852,045,457
34,645,543
210,930
7,128,228
69,577
4,631,302
2,216,419
715,405
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
219
23
332
34
61
116
10.1%
10.8%
3.8%
4.6%
10.3%
4.0%
11.9%
9.3%
6.7%
228
39
257
26
58
132
610,875,000
588,718,744
22,156,256
111,463
4,634,779
0
2,851,345
1,671,971
361,361
232
25
na
35
54
128
8.9%
9.6%
3.1%
4.0%
9.0%
0.0%
10.1%
8.6%
4.6%
222
46
na
27
50
189
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
188
20
283
36
51
130
6.8%
7.4%
3.4%
4.5%
7.7%
4.6%
8.7%
7.6%
4.1%
201
38
189
24
44
232
10,272,800
9,542,745
730,055
4,217
92,141
0
50,863
37,061
8,777
185
22
na
36
47
124
6.2%
6.8%
2.9%
4.2%
6.5%
0.0%
7.1%
6.8%
3.8%
175
49
na
31
41
202
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
319
88
349
46
141
58
147.9%
146.3%
109.4%
102.6%
133.7%
87.2%
137.6%
123.2%
162.1%
265
90
325
73
135
8
59,465
61,693
30,349
26,432
50,301
na
56,059
45,114
41,171
313
78
na
53
109
150
143.8%
141.7%
105.0%
97.1%
137.1%
na
142.8%
125.7%
121.9%
268
64
na
42
115
132
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.1%
2.1%
2.1%
2.2%
2.9%
na
4.2%
0.0%
2.1%
Rank
01-09
129
92
na
37
263
136
1.8%
1.8%
2.3%
4.3%
2.8%
na
3.1%
1.4%
2.6%
Rank
2009
38
102
na
84
198
121
11,828,800
10,956,340
872,460
5,826
114,311
2,635
64,534
41,316
10,672
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.8%
3.8%
4.5%
4.0%
3.8%
na
3.6%
4.3%
3.0%
Rank
01-09
126
144
na
172
97
223
3.0%
3.0%
3.4%
4.2%
2.8%
na
3.2%
2.3%
6.5%
Rank
2009
53
154
na
126
200
9
74,960
77,767
39,710
36,205
62,358
26,405
71,765
53,646
67,036
% = The percentage this item is of All Worker Wages
Section 3- Page 62
Management of Companies
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.9%
3.9%
5.1%
27.6%
6.7%
na
12.1%
3.5%
3.4%
Rank
01-09
15
120
na
62
184
189
4.1%
4.1%
4.0%
28.9%
7.9%
na
13.2%
5.2%
3.5%
Rank
2009
13
105
na
58
144
172
205,912,000
197,878,191
8,033,809
33,796
1,758,340
9,085
693,962
1,021,497
412,722
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
222
27
305
50
42
71
2.3%
2.5%
0.9%
0.7%
2.5%
0.5%
1.8%
4.3%
3.8%
230
70
260
114
19
22
150,413,000
144,512,853
5,900,147
7,313
980,478
0
274,168
698,997
318,000
271
32
na
72
36
62
2.2%
2.4%
0.8%
0.3%
1.9%
0.0%
1.0%
3.6%
4.1%
271
84
na
173
27
22
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
226
26
274
52
38
61
1.1%
1.2%
0.5%
0.3%
1.3%
0.5%
1.0%
2.1%
2.2%
263
61
212
112
17
16
1,786,300
1,671,830
114,470
184
12,922
0
3,660
9,078
6,033
260
31
na
77
39
54
1.1%
1.2%
0.5%
0.2%
0.9%
0.0%
0.5%
1.7%
2.6%
271
105
na
186
31
10
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
135
92
315
57
105
175
207.0%
202.3%
180.3%
233.0%
193.5%
108.3%
187.0%
200.9%
175.8%
34
107
295
126
82
156
84,204
86,440
51,543
39,745
75,877
na
74,909
76,999
52,710
259
67
na
73
65
197
203.6%
198.5%
178.3%
146.0%
206.8%
na
190.8%
214.5%
156.1%
213
51
na
83
47
182
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.8%
1.7%
2.6%
9.8%
5.2%
na
8.7%
2.9%
-0.3%
Rank
01-09
45
87
na
50
137
205
1.2%
1.2%
0.9%
11.6%
5.5%
na
9.1%
3.4%
-0.6%
Rank
2009
30
76
na
44
107
180
1,962,600
1,839,821
122,779
411
19,476
277
7,113
11,675
5,675
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.1%
2.1%
2.4%
18.8%
1.3%
na
3.3%
0.4%
3.6%
Rank
01-09
5
190
na
123
217
109
2.9%
2.9%
3.2%
17.3%
2.3%
na
3.6%
1.8%
4.2%
Rank
2009
6
184
na
125
198
106
104,918
107,553
65,433
82,229
90,282
32,798
97,562
87,494
72,726
% = The percentage this item is of All Worker Wages
Section 3- Page 63
Administrative and Waste Services
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.2%
2.2%
2.7%
8.8%
-4.7%
0.9%
-5.5%
-4.7%
1.4%
Rank
01-09
28
332
252
335
332
231
3.1%
3.0%
4.6%
10.6%
-1.4%
5.6%
-1.9%
-1.7%
4.0%
Rank
2009
12
316
103
320
318
188
323,156,000
303,323,279
19,832,721
228,249
3,801,655
67,590
2,141,642
1,364,174
596,362
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
162
19
301
33
48
83
3.7%
3.8%
2.2%
4.9%
5.5%
3.9%
5.5%
5.7%
5.6%
24
13
78
14
10
12
255,935,000
241,964,932
13,970,068
110,646
4,362,491
44,555
2,608,412
1,598,878
493,386
191
14
301
22
38
75
3.7%
3.9%
1.9%
4.0%
8.4%
3.7%
9.2%
8.2%
6.3%
59
5
77
4
7
12
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
153
14
260
36
42
79
5.7%
6.1%
3.7%
6.8%
8.5%
6.5%
8.6%
8.9%
8.5%
43
9
51
8
6
10
9,604,500
8,808,110
796,390
6,152
175,976
2,811
105,783
61,230
18,266
178
12
279
19
38
81
5.8%
6.3%
3.2%
6.1%
12.5%
6.2%
14.7%
11.3%
7.9%
81
1
68
1
4
16
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
194
99
344
48
139
155
64.1%
63.4%
58.0%
72.6%
64.9%
59.6%
64.0%
64.1%
65.6%
29
97
192
108
107
83
26,647
27,471
17,542
17,985
24,790
15,850
24,658
26,113
27,011
265
76
325
83
55
49
64.4%
63.1%
60.7%
66.1%
67.6%
59.6%
62.8%
72.8%
80.0%
71
55
179
118
27
11
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-0.4%
-0.5%
0.5%
4.1%
-7.9%
2.3%
-9.6%
-7.3%
-2.9%
Rank
01-09
26
326
71
327
326
288
0.5%
0.3%
2.2%
5.1%
-3.8%
3.8%
-5.6%
-2.4%
3.0%
Rank
2009
23
311
44
313
302
64
9,939,300
8,997,853
941,447
8,909
125,606
3,742
64,108
48,847
21,974
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.5%
2.6%
2.2%
4.0%
3.5%
-1.4%
4.5%
2.9%
4.0%
Rank
01-09
100
131
320
67
169
99
2.5%
2.6%
2.3%
4.7%
2.6%
1.7%
3.9%
0.9%
0.6%
Rank
2009
45
192
249
83
283
294
32,513
33,711
21,066
25,620
30,267
18,063
33,407
27,927
27,139
% = The percentage this item is of All Worker Wages
Section 3- Page 64
Educational Services
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.6%
5.7%
4.3%
13.9%
7.5%
4.6%
7.7%
6.1%
8.1%
Rank
01-09
16
83
203
75
128
65
6.8%
6.9%
5.8%
14.7%
9.5%
7.3%
9.8%
8.2%
6.5%
Rank
2009
19
67
137
60
102
179
141,356,000
132,655,032
8,700,968
80,613
796,555
6,516
426,299
283,127
121,498
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
143
33
327
59
70
112
1.6%
1.7%
0.9%
1.7%
1.2%
0.4%
1.1%
1.2%
1.1%
61
114
300
126
109
122
83,401,000
77,824,914
5,576,086
27,812
390,348
4,171
204,999
153,366
74,232
180
37
311
60
69
107
1.2%
1.3%
0.8%
1.0%
0.8%
0.3%
0.7%
0.8%
0.9%
94
145
267
151
133
102
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
167
29
312
60
69
111
2.3%
2.4%
1.3%
1.7%
1.7%
0.8%
1.7%
1.7%
1.8%
152
157
293
150
152
138
3,019,300
2,748,719
270,581
1,264
16,264
329
8,296
6,375
3,532
192
35
301
62
71
105
1.8%
2.0%
1.1%
1.2%
1.2%
0.7%
1.2%
1.2%
1.5%
163
183
264
184
180
113
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
41
78
320
62
94
169
71.1%
69.4%
73.1%
103.4%
69.3%
44.3%
64.5%
70.2%
63.0%
5
83
273
109
78
117
27,623
28,313
20,608
22,003
24,001
12,678
24,711
24,057
21,017
114
84
288
71
83
147
66.8%
65.0%
71.3%
80.8%
65.4%
47.7%
62.9%
67.0%
62.2%
21
82
237
100
75
105
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.8%
2.9%
2.0%
7.1%
3.8%
3.8%
3.7%
3.5%
4.3%
Rank
01-09
33
119
120
127
134
100
3.3%
3.4%
2.4%
7.5%
5.4%
5.5%
5.6%
4.9%
3.6%
Rank
2009
32
79
78
76
98
159
3,923,400
3,595,670
327,730
2,209
24,624
486
12,667
9,262
4,661
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.7%
2.7%
2.3%
6.1%
3.5%
-0.2%
3.8%
2.6%
3.5%
Rank
01-09
16
88
281
76
163
84
3.4%
3.4%
3.2%
6.7%
3.8%
1.2%
4.0%
3.1%
2.8%
Rank
2009
19
111
265
97
173
195
36,029
36,893
26,549
36,493
32,349
13,407
33,654
30,569
26,067
% = The percentage this item is of All Worker Wages
Section 3- Page 65
Health Care and Social Assistance
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
5.6%
5.6%
5.0%
6.5%
5.9%
8.2%
6.4%
5.0%
6.9%
Rank
01-09
98
144
18
106
222
64
6.2%
6.3%
5.7%
7.3%
6.8%
8.8%
7.8%
5.5%
7.2%
Rank
2009
84
116
15
50
246
86
971,286,000
872,817,767
98,468,233
945,514
9,477,760
391,873
4,326,519
3,813,854
1,484,986
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
163
19
281
41
48
107
11.0%
11.1%
10.7%
20.5%
13.7%
22.6%
11.1%
16.0%
13.8%
15
141
6
233
77
137
599,692,000
536,660,337
63,031,663
538,911
5,611,719
200,530
2,375,015
2,497,263
853,045
161
20
293
48
45
112
8.8%
8.8%
8.8%
19.5%
10.9%
16.7%
8.4%
12.8%
10.9%
4
138
10
247
74
136
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
162
19
272
45
46
113
10.8%
11.0%
10.0%
13.9%
11.9%
14.5%
10.1%
13.4%
10.7%
56
143
39
219
76
193
15,247,400
13,108,824
2,138,576
13,563
138,352
5,576
56,956
62,257
21,898
160
20
281
48
42
109
9.2%
9.3%
8.6%
13.4%
9.8%
12.4%
7.9%
11.5%
9.4%
20
151
42
248
73
170
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
119
82
250
47
118
92
102.0%
101.0%
107.5%
147.2%
115.7%
155.5%
109.6%
119.4%
129.4%
13
146
9
207
119
59
39,331
40,939
29,474
39,734
40,561
35,963
41,699
40,112
38,955
108
83
236
65
99
135
95.1%
94.0%
101.9%
146.0%
110.6%
135.2%
106.2%
111.8%
115.3%
4
133
13
171
123
88
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.6%
2.7%
1.9%
3.1%
2.8%
4.7%
3.4%
1.9%
3.4%
Rank
01-09
107
144
24
87
237
83
2.6%
2.7%
2.1%
3.8%
3.0%
5.1%
3.6%
2.1%
3.0%
Rank
2009
68
116
15
73
221
114
18,782,100
16,258,904
2,523,196
18,207
175,547
8,321
75,691
73,328
27,753
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.9%
2.8%
3.0%
3.2%
3.0%
3.3%
2.9%
3.0%
3.3%
Rank
01-09
115
151
106
169
150
106
3.5%
3.5%
3.6%
3.4%
3.6%
3.5%
4.0%
3.3%
4.1%
Rank
2009
166
135
162
81
187
79
51,713
53,682
39,025
51,931
53,990
47,094
57,160
52,011
53,507
% = The percentage this item is of All Worker Wages
Section 3- Page 66
Arts, Entertainment, Recreation
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.3%
2.4%
1.6%
9.8%
5.7%
7.9%
5.8%
5.7%
4.2%
Rank
01-09
22
56
33
55
59
93
3.7%
3.7%
3.0%
11.5%
6.4%
8.5%
6.0%
9.7%
4.0%
Rank
2009
15
74
36
88
24
157
98,329,000
92,002,282
6,326,718
45,149
1,304,544
22,047
846,501
390,847
106,736
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
162
20
231
26
43
94
1.1%
1.2%
0.7%
1.0%
1.9%
1.3%
2.2%
1.6%
1.0%
88
27
57
22
37
86
73,936,000
68,916,029
5,019,971
19,995
857,016
11,735
631,911
193,375
81,334
212
20
262
26
52
97
1.1%
1.1%
0.7%
0.7%
1.7%
1.0%
2.2%
1.0%
1.0%
143
30
89
17
86
76
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
173
21
253
39
47
114
2.2%
2.3%
1.7%
2.1%
2.5%
2.4%
2.5%
2.5%
1.9%
123
67
77
67
64
170
3,165,100
2,811,611
353,489
1,745
28,490
936
14,873
10,936
4,250
195
21
276
40
48
105
1.9%
2.0%
1.4%
1.7%
2.0%
2.1%
2.1%
2.0%
1.8%
145
83
75
75
85
118
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
133
12
142
7
38
67
50.7%
50.9%
41.6%
46.1%
76.1%
52.4%
86.5%
64.9%
53.1%
77
15
53
10
28
51
23,360
24,511
14,201
11,458
30,081
12,537
42,487
17,682
19,137
242
15
199
5
99
78
56.5%
56.3%
49.1%
42.1%
82.0%
47.1%
108.2%
49.3%
56.7%
144
15
110
5
98
61
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.4%
2.5%
2.2%
7.5%
4.0%
4.3%
4.4%
3.0%
2.3%
Rank
01-09
6
72
50
47
133
176
2.4%
2.4%
2.2%
6.3%
3.3%
5.2%
3.0%
3.1%
1.9%
Rank
2009
14
119
27
142
133
224
3,822,000
3,402,645
419,355
2,778
36,739
1,390
18,754
13,817
4,863
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-0.1%
-0.1%
-0.6%
1.8%
1.8%
3.4%
1.4%
2.8%
1.9%
Rank
01-09
78
78
38
96
50
72
1.3%
1.3%
0.8%
4.6%
3.4%
3.2%
3.1%
6.6%
2.0%
Rank
2009
29
59
65
66
10
117
25,727
27,038
15,087
16,252
35,508
15,861
45,137
28,287
21,949
% = The percentage this item is of All Worker Wages
Section 3- Page 67
Accommodations and Food Service
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.3%
2.4%
2.1%
5.2%
1.7%
5.7%
1.4%
1.4%
4.4%
Rank
01-09
42
247
33
263
267
71
3.4%
3.4%
3.2%
6.5%
5.2%
10.7%
5.0%
4.9%
5.5%
Rank
2009
26
75
3
96
104
56
260,671,000
231,574,041
29,096,959
193,442
2,714,025
79,580
1,556,187
884,816
273,908
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
174
19
297
37
47
132
3.0%
2.9%
3.2%
4.2%
3.9%
4.6%
4.0%
3.7%
2.6%
40
48
33
48
58
237
200,560,000
177,811,209
22,748,791
119,271
1,843,675
36,646
1,073,556
614,202
180,340
185
21
349
38
50
147
2.9%
2.9%
3.2%
4.3%
3.6%
3.1%
3.8%
3.2%
2.3%
34
62
103
47
94
286
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
176
22
296
45
50
134
6.9%
6.9%
6.8%
7.9%
7.1%
8.3%
6.6%
7.3%
5.7%
67
166
52
230
127
331
10,807,200
9,186,996
1,620,204
7,715
90,995
2,894
45,209
35,177
12,431
193
21
347
44
50
139
6.5%
6.5%
6.5%
7.6%
6.5%
6.4%
6.3%
6.5%
5.3%
65
188
195
209
186
320
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
136
21
231
5
50
142
42.8%
42.3%
46.9%
53.1%
55.7%
55.4%
60.5%
50.7%
44.9%
33
24
26
16
42
83
18,558
19,355
14,041
15,460
20,261
12,663
23,747
17,460
14,507
135
34
310
12
73
192
44.9%
44.4%
48.6%
56.8%
55.2%
47.6%
60.5%
48.6%
43.0%
23
27
75
14
60
159
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.0%
1.1%
0.3%
3.6%
0.7%
2.6%
0.8%
-0.1%
1.6%
Rank
01-09
18
199
54
197
283
111
1.3%
1.4%
0.7%
3.8%
1.8%
6.7%
1.1%
1.7%
2.2%
Rank
2009
17
134
1
206
142
91
12,005,100
10,294,336
1,710,764
10,322
104,393
4,744
49,294
40,033
14,738
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.3%
1.2%
1.8%
1.4%
0.9%
3.0%
0.6%
1.5%
2.6%
Rank
01-09
197
270
39
297
190
72
2.0%
1.9%
2.5%
2.5%
3.2%
3.7%
3.8%
3.0%
3.2%
Rank
2009
145
55
22
20
70
57
21,713
22,495
17,008
18,741
25,998
16,775
31,570
22,102
18,585
% = The percentage this item is of All Worker Wages
Section 3- Page 68
Other Services
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
2.3%
2.3%
1.8%
3.1%
1.5%
2.8%
1.5%
0.9%
2.0%
Rank
01-09
87
220
117
214
274
186
3.4%
3.4%
3.4%
5.7%
3.2%
6.0%
2.5%
3.2%
4.9%
Rank
2009
27
190
22
251
194
55
320,041,000
279,343,317
40,697,683
294,206
2,573,155
116,459
1,207,449
955,041
463,581
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
155
22
289
48
54
104
3.6%
3.5%
4.4%
6.4%
3.7%
6.7%
3.1%
4.0%
4.3%
3
187
2
313
131
83
246,052,000
214,697,258
31,354,742
190,322
2,013,886
74,839
998,556
750,169
320,613
167
21
305
44
53
114
3.6%
3.5%
4.4%
6.9%
3.9%
6.2%
3.5%
3.9%
4.1%
4
162
7
226
170
124
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
155
19
257
46
53
105
5.7%
5.6%
6.0%
7.5%
5.9%
8.1%
5.5%
6.0%
5.9%
19
103
8
192
97
113
9,074,600
7,661,728
1,412,872
8,187
77,709
3,421
33,539
32,562
13,112
167
20
300
47
48
110
5.5%
5.4%
5.7%
8.1%
5.5%
7.6%
4.7%
6.0%
5.6%
2
176
7
315
83
148
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
178
200
324
186
202
156
63.9%
62.8%
74.2%
84.7%
62.8%
82.5%
56.9%
67.2%
73.5%
19
267
23
326
204
104
27,114
28,022
22,192
23,247
25,916
21,876
29,773
23,038
24,452
229
128
282
47
238
176
65.6%
64.4%
76.8%
85.4%
70.6%
82.2%
75.8%
64.2%
72.4%
31
154
42
84
272
126
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.3%
0.4%
-0.1%
0.1%
-0.3%
2.6%
0.7%
-1.9%
0.0%
Rank
01-09
179
228
10
104
331
187
1.1%
1.1%
0.9%
2.4%
1.6%
4.0%
2.6%
0.1%
2.0%
Rank
2009
44
95
13
37
254
68
9,882,500
8,372,036
1,510,464
9,841
87,829
4,661
40,690
32,637
15,250
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
1.9%
1.9%
1.9%
3.0%
1.8%
0.2%
0.9%
2.8%
2.0%
Rank
01-09
60
192
324
284
78
170
2.3%
2.2%
2.5%
3.3%
1.6%
1.9%
0.0%
3.1%
2.8%
Rank
2009
71
281
259
320
99
127
32,385
33,366
26,944
29,896
29,297
24,986
29,674
29,263
30,399
% = The percentage this item is of All Worker Wages
Section 3- Page 69
Federal Civilian
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.2%
4.2%
4.3%
5.6%
6.5%
4.4%
8.0%
3.5%
2.4%
Rank
01-09
63
43
120
25
154
235
5.0%
5.0%
4.9%
6.3%
7.3%
5.3%
8.7%
4.6%
3.2%
Rank
2009
63
35
105
18
151
243
298,116,000
269,163,545
28,952,455
78,733
2,280,758
29,037
1,541,049
631,939
113,162
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
254
24
330
39
80
221
3.4%
3.4%
3.1%
1.7%
3.3%
1.7%
4.0%
2.7%
1.1%
235
127
239
94
161
319
202,056,000
182,271,775
19,784,225
48,565
1,305,640
19,337
795,215
442,523
88,133
263
30
348
48
78
218
3.0%
3.0%
2.8%
1.8%
2.5%
1.6%
2.8%
2.3%
1.1%
226
162
240
135
183
307
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
257
24
327
41
74
213
1.7%
1.7%
1.3%
0.7%
1.5%
0.7%
1.9%
1.3%
0.5%
269
124
269
91
160
320
2,729,000
2,412,992
316,008
713
18,348
314
11,081
6,240
1,384
264
27
346
46
82
210
1.6%
1.7%
1.3%
0.7%
1.3%
0.7%
1.5%
1.1%
0.6%
266
168
268
125
189
303
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
180
78
340
36
201
288
204.3%
199.1%
237.9%
258.5%
214.7%
254.9%
204.3%
205.3%
198.5%
18
150
22
202
196
229
74,040
75,538
62,607
68,114
71,160
61,583
71,764
70,917
63,680
185
118
318
103
122
284
179.0%
173.5%
216.5%
250.3%
193.9%
231.5%
182.8%
197.6%
188.6%
8
181
36
246
154
206
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.6%
0.6%
0.7%
3.0%
2.8%
3.6%
3.0%
2.3%
0.5%
Rank
01-09
50
53
35
45
72
163
0.7%
0.7%
0.8%
2.4%
2.8%
2.4%
3.4%
1.6%
-0.1%
Rank
2009
49
38
50
25
91
220
2,879,000
2,543,707
335,293
863
22,766
376
14,460
7,067
1,378
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.6%
3.6%
3.6%
2.6%
3.6%
0.8%
4.8%
1.3%
2.0%
Rank
01-09
231
90
359
19
346
305
4.3%
4.3%
4.1%
3.8%
4.4%
3.0%
5.1%
3.0%
3.3%
Rank
2009
176
81
316
29
302
269
103,548
105,815
86,350
91,232
100,183
77,226
106,573
89,421
82,120
% = The percentage this item is of All Worker Wages
Section 3- Page 70
State and Local Government
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.7%
4.8%
4.1%
5.9%
4.4%
5.7%
4.9%
2.8%
4.8%
Rank
01-09
91
238
109
193
324
204
4.9%
5.0%
4.3%
7.3%
5.0%
5.8%
5.3%
3.7%
5.0%
Rank
2009
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
198
26
335
56
93
127
12.9%
12.3%
18.2%
17.7%
10.4%
18.7%
9.9%
9.3%
13.4%
93
305
80
322
338
199
777,131,000
657,475,429
119,655,571
466,910
4,871,850
208,420
2,536,931
1,659,589
975,437
219
27
347
59
83
130
11.4%
10.7%
16.7%
16.9%
9.4%
17.4%
9.0%
8.5%
12.4%
816,517
7,188,162
323,975
3,838,851
2,208,819
1,442,909
80
297
72
319
335
183
Rank
2009
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
20
157
47
124
304
104
19,678,000
16,082,912
3,595,088
16,098
126,878
6,118
65,818
38,844
28,275
195
25
343
59
92
118
11.3%
10.8%
14.2%
12.3%
8.6%
10.7%
8.8%
7.1%
10.9%
156
329
224
325
360
211
18,351,000
14,896,660
3,454,340
12,934
115,715
5,151
58,886
38,744
24,996
219
26
352
59
85
123
11.1%
10.6%
13.9%
12.7%
8.2%
11.4%
8.2%
7.1%
10.8%
134
334
183
335
358
208
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
216
99
169
76
96
211
114.0%
113.4%
128.1%
143.7%
121.4%
174.8%
111.8%
130.6%
123.4%
34
166
3
277
93
147
42,348
44,136
34,639
36,099
42,102
40,462
43,082
42,835
39,024
270
88
140
75
77
190
102.4%
101.4%
119.8%
132.6%
114.8%
152.1%
109.7%
119.3%
115.5%
22
132
1
205
93
123
1,136,906,000
969,763,556
167,142,444
14
175
93
135
301
167
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.9%
0.9%
0.4%
4.0%
1.1%
2.2%
1.4%
-0.6%
1.9%
Rank
01-09
5
174
53
137
342
76
0.9%
1.0%
0.5%
2.8%
1.2%
2.2%
1.4%
0.0%
1.6%
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.8%
3.8%
3.7%
1.8%
3.3%
3.5%
3.5%
3.5%
2.9%
Rank
01-09
359
270
240
240
243
320
4.0%
4.0%
3.8%
4.4%
3.8%
3.4%
3.9%
3.6%
3.4%
Rank
2009
82
188
263
173
219
266
57,775
60,298
46,492
50,722
56,654
52,954
58,325
56,864
51,031
% = The percentage this item is of All Worker Wages
Section 3- Page 71
State Government
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.4%
4.6%
3.3%
2.8%
3.0%
4.2%
3.2%
2.3%
1.5%
Rank
01-09
263
252
202
250
279
288
4.5%
4.7%
3.4%
2.7%
3.1%
3.8%
3.3%
2.6%
1.7%
Rank
2009
266
250
210
242
271
287
310,507,000
266,470,202
44,036,798
65,229
1,193,828
35,271
872,083
221,245
222,625
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
277
52
308
72
170
169
3.5%
3.4%
4.8%
1.4%
1.7%
2.0%
2.2%
0.9%
2.1%
279
258
232
220
304
230
218,957,000
185,360,591
33,596,409
52,773
933,831
26,342
673,887
180,829
194,480
259
44
292
62
146
136
3.2%
3.0%
4.7%
1.9%
1.8%
2.2%
2.4%
0.9%
2.5%
227
237
204
194
286
186
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
276
52
304
75
176
175
3.0%
3.0%
3.4%
1.0%
1.4%
1.2%
2.0%
0.8%
1.6%
293
263
278
215
305
244
5,031,000
4,171,807
859,193
1,346
21,167
686
14,601
4,534
4,747
254
45
292
66
147
139
3.0%
3.0%
3.5%
1.3%
1.5%
1.5%
2.0%
0.8%
2.0%
264
251
250
201
286
199
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
241
134
216
115
173
170
116.1%
113.5%
141.2%
137.8%
119.9%
164.5%
110.7%
121.4%
128.2%
89
191
19
258
174
130
43,522
44,432
39,102
39,207
44,117
38,399
46,153
39,883
40,969
174
78
196
52
158
134
105.2%
102.0%
135.2%
144.1%
120.2%
144.3%
117.6%
111.1%
121.3%
23
109
23
130
172
101
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.7%
0.9%
0.0%
0.3%
1.1%
1.3%
1.5%
-0.1%
-0.9%
Rank
01-09
206
152
129
123
236
274
0.6%
0.7%
0.0%
0.0%
0.1%
0.4%
0.5%
-1.0%
-1.5%
Rank
2009
224
214
191
184
262
283
5,277,000
4,417,580
859,420
1,341
21,336
708
15,103
4,184
4,197
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.7%
3.7%
3.3%
2.5%
1.9%
2.8%
1.7%
2.4%
2.4%
Rank
01-09
264
286
249
291
268
265
3.8%
3.9%
3.4%
2.7%
3.1%
3.3%
2.9%
3.6%
3.3%
Rank
2009
255
224
185
242
154
193
58,842
60,320
51,240
48,642
55,954
49,818
57,742
52,879
53,044
% = The percentage this item is of All Worker Wages
Section 3- Page 72
Local Government
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
4.7%
4.8%
4.4%
6.3%
4.7%
6.0%
5.5%
2.9%
5.5%
Rank
01-09
68
185
88
119
279
119
5.0%
5.1%
4.6%
7.8%
5.4%
6.0%
6.0%
3.8%
5.8%
Rank
2009
10
125
69
75
245
95
826,399,000
703,293,354
123,105,646
751,288
5,994,334
288,704
2,966,768
1,987,574
1,220,284
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
145
23
278
42
63
87
9.4%
8.9%
13.4%
16.3%
8.7%
16.6%
7.6%
8.3%
11.4%
22
221
19
271
238
96
558,174,000
472,114,838
86,059,162
414,137
3,938,019
182,078
1,863,044
1,478,760
780,957
161
23
268
42
52
89
8.2%
7.7%
12.0%
15.0%
7.6%
15.2%
6.6%
7.6%
10.0%
13
208
11
266
211
86
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
139
22
285
39
58
80
8.3%
7.9%
10.8%
11.3%
7.1%
9.4%
6.8%
6.3%
9.3%
40
237
91
268
298
95
13,320,000
10,724,853
2,595,147
11,588
94,548
4,465
44,285
34,210
20,249
149
20
284
42
56
86
8.0%
7.6%
10.5%
11.4%
6.7%
9.9%
6.2%
6.3%
8.7%
29
238
60
276
264
103
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
168
70
122
61
70
179
113.2%
113.4%
124.0%
144.3%
121.7%
176.2%
112.1%
131.7%
122.5%
32
135
2
221
68
124
41,905
44,021
33,162
35,738
41,651
40,779
42,069
43,226
38,568
224
76
98
72
54
150
101.3%
101.1%
114.7%
131.3%
113.5%
153.3%
107.2%
120.4%
114.2%
13
113
1
191
55
109
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.9%
1.0%
0.6%
4.4%
1.1%
2.3%
1.4%
-0.7%
2.4%
Rank
01-09
4
154
52
120
288
41
1.0%
1.1%
0.7%
3.1%
1.4%
2.5%
1.7%
0.2%
2.2%
Rank
2009
18
109
36
79
243
53
14,401,000
11,665,332
2,735,668
14,757
105,542
5,410
50,715
34,660
24,078
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
3.8%
3.8%
3.8%
1.7%
3.6%
3.6%
4.1%
3.6%
3.0%
Rank
01-09
306
193
187
108
186
263
4.0%
4.0%
3.9%
4.6%
4.0%
3.4%
4.2%
3.6%
3.5%
Rank
2009
55
125
212
91
177
202
57,385
60,289
45,000
50,911
56,796
53,365
58,499
57,345
50,680
% = The percentage this item is of All Worker Wages
Section 3- Page 73
Military
Earnings
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
7.3%
7.3%
7.2%
12.3%
8.1%
11.8%
7.9%
8.3%
11.3%
Rank
01-09
14
149
18
164
140
25
9.3%
9.1%
10.2%
19.0%
10.1%
18.4%
9.7%
10.1%
17.1%
Rank
2009
5
291
11
301
293
32
171,549,000
151,490,393
20,058,607
45,316
1,150,379
16,414
885,749
202,900
56,955
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
197
31
331
44
109
175
1.9%
1.9%
2.2%
1.0%
1.7%
0.9%
2.3%
0.9%
0.5%
124
78
131
69
159
281
84,809,000
75,493,408
9,315,592
12,011
536,793
4,525
425,318
94,939
17,076
233
35
352
48
106
196
1.2%
1.2%
1.3%
0.4%
1.0%
0.4%
1.5%
0.5%
0.2%
139
80
169
72
121
306
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
188
39
328
54
111
165
1.2%
1.2%
1.1%
0.7%
0.8%
0.6%
1.1%
0.5%
0.4%
139
110
197
76
221
286
2,071,000
1,776,422
294,578
763
11,456
286
7,317
3,090
1,052
215
41
350
61
112
180
1.3%
1.3%
1.2%
0.8%
0.8%
0.6%
1.0%
0.6%
0.5%
145
125
192
92
228
295
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
337
35
360
6
88
274
161.8%
157.9%
192.7%
137.8%
197.5%
160.3%
206.2%
156.2%
119.0%
128
34
78
21
89
247
40,951
42,497
31,624
15,742
46,857
15,822
58,127
30,725
16,232
359
56
346
9
89
287
99.0%
97.6%
109.4%
57.8%
127.7%
59.5%
148.0%
85.6%
48.1%
152
56
144
28
88
279
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
0.1%
0.2%
-0.4%
3.9%
1.6%
3.6%
1.6%
1.1%
3.1%
Rank
01-09
13
67
13
72
104
19
0.1%
0.2%
-0.3%
2.6%
1.1%
2.2%
1.5%
-0.4%
1.3%
Rank
2009
17
64
27
49
213
54
2,092,000
1,805,260
286,740
932
12,488
338
8,236
2,982
1,157
% = The percentage this item is of All Worker Employment
Wages
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
7.2%
7.1%
7.7%
8.2%
6.4%
8.1%
6.2%
7.3%
8.2%
Rank
01-09
78
313
132
320
267
106
9.1%
8.9%
10.6%
16.1%
8.9%
16.0%
8.0%
10.6%
15.7%
Rank
2009
14
304
32
320
279
75
82,002
83,916
69,954
48,622
92,119
48,562
107,546
68,042
49,226
% = The percentage this item is of All Worker Wages
Section 3- Page 74
Farm
(data subject to extreme fluctuations)
Earnings
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
-0.7%
-1.2%
0.4%
-2.7%
2.0%
-6.1%
3.0%
-17.4%
3.3%
Rank
01-09
226
168
267
149
318
139
5.3%
3.9%
7.2%
-2.4%
0.4%
-2.2%
1.1%
-13.6%
0.9%
Rank
2009
273
250
273
242
330
244
68,504,000
31,771,201
36,732,799
18,784
254,832
3,506
231,614
928
88,620
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
230
31
310
35
327
91
0.8%
0.4%
4.0%
0.0%
0.4%
0.0%
0.0%
0.0%
0.8%
na
189
na
na
na
111
54,779,000
25,440,459
29,338,541
25,512
254,784
5,508
219,268
4,496
105,632
206
24
316
28
324
61
0.8%
0.4%
4.1%
0.0%
0.5%
0.0%
0.0%
0.0%
1.3%
na
192
na
na
na
87
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
246
16
319
25
364
97
1.5%
0.8%
5.6%
1.1%
0.8%
1.3%
1.3%
0.0%
1.4%
207
257
174
174
366
173
3,060,000
1,425,954
1,634,046
1,682
13,177
649
10,599
247
4,527
244
22
337
32
362
89
1.8%
1.0%
6.6%
1.7%
0.9%
1.4%
1.5%
0.0%
1.9%
172
268
198
190
367
140
Rank
2009 %
Rank
2001
Rank
2001 %
Rank
218
152
299
136
279
122
51.3%
49.4%
71.2%
36.0%
44.3%
15.1%
44.6%
15.9%
60.6%
195
165
281
164
276
107
17,902
17,841
17,955
15,168
19,336
8,487
20,688
18,202
23,334
181
123
258
108
142
92
43.3%
41.0%
62.1%
55.7%
52.7%
31.9%
52.7%
50.7%
69.1%
124
135
228
136
149
80
% = The percentage this item is of All Worker Earnings
Employment
05-09
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
-0.6%
-1.2%
-0.1%
-1.5%
-1.5%
2.1%
-1.6%
-5.0%
-1.3%
Rank
01-09
271
269
29
275
353
253
-1.8%
-2.0%
-1.7%
-1.5%
-0.7%
2.2%
-0.6%
-2.9%
-2.9%
Rank
2009
155
90
10
82
294
291
2,632,000
1,210,032
1,421,968
1,478
12,336
764
9,960
134
3,538
% = The percentage this item is of All Worker Employment
Wages
USA
USA MET
USA NONMET
Pasco
Tampa MSA
Hernando
Hillsborough
Pinellas
Polk
05-09
-0.2%
-0.2%
0.3%
-1.1%
4.2%
-7.8%
5.4%
-11.6%
6.5%
Rank
01-09
220
148
280
133
301
123
7.2%
6.1%
8.9%
-0.9%
1.9%
-3.6%
2.6%
-9.4%
5.2%
Rank
2009
285
257
300
250
322
221
26,027
26,256
25,832
12,709
20,658
4,589
23,254
6,925
25,048
% = The percentage this item is of All Worker Wages
Section 3- Page 75
POLICOM
NAICS Definitions
CORPORATION
Section 4
Resource Information
NAICS Sector Descriptions
POLICOM
NAICS Definitions
CORPORATION
North American Industrial Classification System (NAICS)
Description of Industrial Sectors
Since the industrial classification system has changed so much under NAICS from the old SIC,
to provide a better understanding of the activities in each, the following definitions are provided.
The definitions are written by the U.S. Department of Commerce.
Definitions and classifications for all NAICS codes, to the six digit level, are available on
compact disc through the National Technical Information Service (1-800-553-6847 or
www.ntic.gov).
Agriculture, Forestry, Fishing and Hunting
The Agriculture, Forestry, Fishing and Hunting sector comprises establishments primarily engaged in growing crops, raising
animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats. The
establishments in this sector are often described as farms, ranches, dairies, greenhouses, nurseries, orchards, or hatcheries. A
farm may consist of a single tract of land or a number of separate tracts which may be held under different tenures.
For example, one tract may be owned by the farm operator and another rented. It may be operated by the operator alone or
with the assistance of members of the household or hired employees, or it may be operated by a partnership, corporation, or
other type of organization. When a landowner has one or more tenants, renters, croppers, or managers, the land operated by
each is considered a farm. The sector distinguishes two basic activities: agricultural production and agricultural support
activities. Agricultural production includes establishments performing the complete farm or ranch operation, such as farm
owner-operators, tenant farm operators, and sharecroppers. Agricultural support activities include establishments that perform
one or more activities associated with farm operation, such as soil preparation, planting, harvesting, and management, on a
contract or fee basis.
Mining
The Mining sector comprises establishments that extract naturally occurring mineral solids, such as coal and ores; liquid
minerals, such as crude petroleum; and gases, such as natural gas. The term mining is used in the broad sense to include
quarrying, well operations, beneficiating (e.g., crushing, screening, washing, and flotation), and other preparation customarily
performed at the mine site, or as a part of mining activity. The Mining sector distinguishes two basic activities: mine
operation and mining support activities. Mine operation includes establishments operating mines, quarries, or oil and gas
wells on their own account or for others on a contract or fee basis. Mining support activities include establishments that
perform exploration (except geophysical surveying) and/or other mining services on a contract or fee basis (except mine site
preparation and construction of oil/gas pipelines).
Utilities
The Utilities sector comprises establishments engaged in the provision of the following utility services: electric power,
natural gas, steam supply, water supply, and sewage removal. Within this sector, the specific activities associated with the
utility services provided vary by utility: electric power includes generation, transmission, and distribution; natural gas
includes distribution; steam supply includes provision and/or distribution; water supply includes treatment and distribution;
and sewage removal includes collection, treatment, and disposal of waste through sewer systems and sewage treatment
facilities. Excluded from this sector are establishments primarily engaged in waste management services classified in
Subsector 562, Waste Management and Remediation Services. These establishments also collect, treat, and dispose of waste
materials; however, they do not use sewer systems or sewage treatment facilities.
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Construction
The construction sector comprises establishments primarily engaged in the construction of buildings or engineering projects
(e.g., highways and utility systems). Establishments primarily engaged in the preparation of sites for new construction and
establishments primarily engaged in subdividing land for sale as building sites also are included in this sector. Construction
work done may include new work, additions, alterations, or maintenance and repairs. Activities of these establishments
generally are managed at a fixed place of business, but they usually perform construction activities at multiple project sites.
Production responsibilities for establishments in this sector are usually specified in (1) contracts with the owners of
construction projects (prime contracts) or (2) contracts with other construction establishments (subcontracts). Establishments
primarily engaged in contracts that include responsibility for all aspects of individual construction projects are commonly
known as general contractors, but also may be known as design-builders, construction managers, turnkey contractors, or (in
cases where two or more establishments jointly secure a general contract) joint-venture contractors.
Construction managers that provide oversight and scheduling only (i.e., agency) as well as construction managers that are
responsible for the entire project (i.e., at risk) are included as general contractor type establishments. Establishments of the
‘‘general contractor type’’ frequently arrange construction of separate parts of their projects through subcontracts with other
construction establishments. Establishments primarily engaged in activities to produce a specific component (e.g., masonry,
painting, and electrical work) of a construction project are commonly known as specialty trade contractors. Activities of
specialty trade contractors are usually subcontracted from other construction establishments but, especially in remodeling and
repair construction, the work may be done directly for the owner of the property. Establishments primarily engaged in
activities to construct buildings to be sold on sites that they own are known as operative builders, but also may be known as
speculative builders or merchant builders. Operative builders produce buildings in a manner similar to general contractors,
but their production processes also include site acquisition and securing of financial backing. Operative builders are most
often associated with the construction of residential buildings. Like general contractors, they may subcontract all or part of
the actual construction work on their buildings. There are substantial differences in the types of equipment, work force skills,
and other inputs required by establishments in this sector. To highlight these differences and variations in the underlying
production functions, this sector is divided into three Subsectors.
Manufacturing
The Manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of
materials, substances, or components into new products. The assembling of component parts of manufactured products is
considered manufacturing, except in cases where the activity is appropriately classified in Sector 23, Construction.
Establishments in the Manufacturing sector are often described as plants, factories, or mills and characteristically use powerdriven machines and materials-handling equipment. However, establishments that transform materials or substances into new
products by hand or in the worker’s home and those engaged in selling to the general public products made on the same
premises from which they are sold, such as bakeries, candy stores, and custom tailors, may also be included in this sector.
Manufacturing establishments may process materials or may contract with other establishments to process their materials for
them. Both types of establishments are included in manufacturing.
The materials, substances, or components transformed by manufacturing establishments are raw materials that are products of
agriculture, forestry, fishing, mining, or quarrying as well as products of other manufacturing establishments. The materials
used may be purchased directly from producers, obtained through customary trade channels, or secured without recourse to
the market by transferring the product from one establishment to another, under the same ownership. The new product of a
manufacturing establishment may be finished in the sense that it is ready for utilization or consumption, or it may be semi
finished to become an input for an establishment engaged in further manufacturing. For example, the product of the alumina
refinery is the input used in the primary production of aluminum; primary aluminum is the input to an aluminum wire
drawing plant; and aluminum wire is the input for a fabricated wire product manufacturing establishment.
Wholesale Trade
The Wholesale Trade sector comprises establishments engaged in wholesaling merchandise, generally without
transformation, and rendering services incidental to the sale of merchandise. The merchandise described in this sector
includes the outputs of agriculture, mining, manufacturing, and certain information industries, such as publishing. The
wholesaling process is an intermediate step in the distribution of merchandise. Wholesalers are organized to sell or arrange
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the purchase or sale of (a) goods for resale (i.e., goods sold to other wholesalers or retailers), (b) capital or durable
nonconsumer goods, and (c) raw and intermediate materials and supplies used in production. Wholesalers sell merchandise to
other businesses and normally operate from a warehouse or office. These warehouses and offices are characterized by having
little or no display of merchandise. In addition, neither the design nor the location of the premises is intended to solicit walkin traffic.
Wholesalers do not normally use advertising directed to the general public. Customers are generally reached initially via
telephone, in-person marketing, or by specialized advertising that may include Internet and other electronic means. Follow-up
orders are either vendor-initiated or client-initiated, generally based on previous sales, and typically exhibit strong ties
between sellers and buyers. In fact, transactions are often conducted between wholesalers and clients that have long-standing
business relationships.
Retail Trade
The Retail Trade sector comprises establishments engaged in retailing merchandise, generally without transformation, and
rendering services incidental to the sale of merchandise. The retailing process is the final step in the distribution of
merchandise; retailers are, therefore, organized to sell merchandise in small quantities to the general public. This sector
comprises two main types of retailers: store and nonstore retailers. 1. Store retailers operate fixed point-of-sale locations,
located and designed to attract a high volume of walk-in customers. In general, retail stores have extensive displays of
merchandise and use mass-media advertising to attract customers. They typically sell merchandise to the general public for
personal or household consumption, but some also serve business and institutional clients. These include establishments, such
as office supply stores, computer and software stores, building materials dealers, plumbing supply stores, and electrical
supply stores. Catalog showrooms, gasoline services stations, auto-motive dealers, and mobile home dealers are treated as
store retailers.
In addition to retailing merchandise, some types of store retailers are also engaged in the provision of after-sales services,
such as repair and installation. For example, new automobile dealers, electronic and appliance stores, and musical instrument
and supply stores often provide repair services. As a general rule, establishments engaged in retailing merchandise and
providing after-sales services are classified in this sector. The first eleven subsectors of retail trade are store retailers. The
establishments are grouped into industries and industry groups typically based on one or more of the following criteria: (a)
The merchandise line or lines carried by the store; for example, specialty stores are distinguished from general-line stores. (b)
The usual trade designation of the establishments.
This criterion applies in cases where a store type is well recognized by the industry and the public, but difficult to define
strictly in terms of commodity lines carried; for example, pharmacies, hardware stores, and department stores. (c) Capital
requirements in terms of display equipment; for example, food stores have equipment requirements not found in other retail
industries. (d) Human resource requirements in terms of expertise; for example, the staff of an automobile dealer requires
knowledge in financing, registering, and licensing issues that are not necessary in other retail industries. Nonstore retailers,
like store retailers, are organized to serve the general public, but their retailing methods differ. The establishments of this
subsector reach customers and market merchandise with methods, such as the broadcasting of ‘‘infomercials,’’ the
broadcasting and publishing of direct-response advertising, the publishing of paper and electronic catalogs, door-to-door
solicitation, in-home demonstration, selling from portable stalls (street vendors, except food), and distribution through
vending machines. Establishments engaged in the direct sale (nonstore) of products, such as home heating oil dealers and
home delivery newspaper routes are included here.
The buying of goods for resale is a characteristic of retail trade establishments that particularly distinguishes them from
establishments in the agriculture, manufacturing, and construction industries. For example, farms that sell their products at or
from the point of production are not classified in retail, but rather in agriculture. Similarly, establishments that both
manufacture and sell their products to the general public are not classified in retail, but rather in manufacturing. However,
establishments that engage in processing activities incidental to retailing are classified in retail. This includes establishments,
such as optical goods stores that do in-store grinding of lenses, and meat and seafood markets.
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Transportation and Warehousing
The Transportation and Warehousing sector includes industries providing transportation of passengers and cargo,
warehousing and storage for goods, scenic and sightseeing transportation, and support activities related to modes of
transportation. Establishments in these industries use transportation equipment or transportation related facilities as a
productive asset. The type of equipment depends on the mode of transportation. The modes of transportation are air, rail,
water, road, and pipeline. The Transportation and Warehousing sector distinguishes three basic types of activities: subsectors
for each mode of transportation, a subsector for warehousing and storage, and a subsector for establishments providing
support activities for transportation. In addition, there are subsectors for establishments that provide passenger transportation
for scenic and sightseeing purposes, postal services, and courier services.
Information
The Information sector comprises establishments engaged in the following processes: (a) producing and distributing
information and cultural products, (b) providing the means to transmit or distribute these products as well as data or
communications, and (c) processing data. The main components of this sector are the publishing industries, including
software publishing, and both traditional publishing and publishing exclusively on the Internet; the motion picture and sound
recording industries; the broadcasting industries, including traditional broadcasting and those broadcasting exclusively over
the Internet; the telecommunications industries; the industries known as Internet service providers and Web search portals,
data processing industries, and the information services industries. The expressions ‘‘information age’’ and ‘‘global
information economy’’ are used with considerable frequency today. The general idea of an ‘‘information economy’’ includes
both the notion of industries primarily producing, processing, and distributing information, as well as the idea that every
industry is using available information and information technology to reorganize and make themselves more productive. For
the purpose of developing NAICS, it is the transformation of information into a commodity that is produced and distributed
by a number of growing industries that is at issue.
The Information sector groups three types of establishments: (1) those engaged in producing and distributing information and
cultural products; (2) those that provide the means to transmit or distribute these products as well as data or communications;
and (3) those that process data. Cultural products are those that directly express attitudes, opinions, ideas, values, and artistic
creativity; provide entertainment; or offer information and analysis concerning the past and present. Included in this
definition are popular, mass-produced, products as well as cultural products that normally have a more limited audience, such
as poetry books, literary magazines, or classical records. The unique characteristics of information and cultural products, and
of the processes involved in their production and distribution, distinguish the Information sector from the goods-producing
and service-producing sectors.
Some of these characteristics are: 1. Unlike traditional goods, an ‘‘information or cultural product,’’ such as a newspaper online or television program, does not necessarily have tangible qualities, nor is it necessarily associated with a particular form.
A movie can be shown at a movie theater, on a television broadcast, through video-on-demand or rented at a local video
store. A sound recording can be aired on radio, embedded in multimedia products, or sold at a record store. 2. Unlike
traditional services, the delivery of these products does not require direct contact between the supplier and the consumer. 3.
The value of these products to the consumer lies in their informational, educational, cultural, or entertainment content, not in
the format in which they are distributed. Most of these products are protected from unlawful reproduction by copyright laws.
4. The intangible property aspect of information and cultural products makes the processes involved in their production and
distribution very different from goods and services. Only those possessing the rights to these works are authorized to
reproduce, alter, improve, and distribute them. Acquiring and using these rights often involves significant costs. In addition,
technology is revolutionizing the distribution of these products. It is possible to distribute them in a physical form, via
broadcast, or on-line. 5. Distributors of information and cultural products can easily add value to the products they distribute.
For instance, broadcasters add advertising not contained in the original product.
This capacity means that unlike traditional distributors, they derive revenue not from sale of the distributed product to the
final consumer, but from those who pay for the privilege of adding information to the original product. Similarly, a directory
and mailing list publisher can acquire the rights to thousands of previously published newspaper and periodical articles and
add new value by providing search and software and organizing the information in a way that facilitates research and
retrieval. These products often command a much higher price than the original information. The distribution modes for
information commodities may either eliminate the necessity for traditional manufacture, or reverse the conventional order of
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manufacture- distribute: A newspaper distributed on-line, for example, can be printed locally or by the final consumer.
Similarly, it is anticipated that packaged software, which today is mainly bought through the traditional retail channels, will
soon be available mainly on-line.
The NAICS Information sector is designed to make such economic changes transparent as they occur, or to facilitate
designing surveys that will monitor the new phenomena and provide data to analyze the changes. Many of the industries in
the NAICS Information sector are engaged in producing products protected by copyright law, or in distributing them (other
than distribution by traditional wholesale and retail methods). Examples are traditional publishing industries, software and
directory and mailing list publishing industries, and film and sound industries. Broadcasting and telecommunications
industries and information providers and processors are also included in the Information sector, because their technologies
are so closely linked to other industries in the Information sector.
Finance and Insurance
The Finance and Insurance sector comprises establishments primarily engaged in financial transactions (transactions
involving the creation, liquidation, or change in ownership of financial assets) and/or in facilitating financial transactions.
Three principal types of activities are identified: 1. Raising funds by taking deposits and/or issuing securities and, in the
process, incurring liabilities. Establishments engaged in this activity use raised funds to acquire financial assets by making
loans and/or purchasing securities. Putting themselves at risk, they channel funds from lenders to borrowers and transform or
repackage the funds with respect to maturity, scale, and risk. This activity is known as financial intermediation. 2. Pooling of
risk by underwriting insurance and annuities. Establishments engaged in this activity collect fees, insurance premiums, or
annuity considerations; build up reserves; invest those reserves; and make contractual payments. Fees are based on the
expected incidence of the insured risk and the expected return on investment. 3. Providing specialized services facilitating or
supporting financial intermediation, insurance, and employee benefit programs. In addition, monetary authorities charged
with monetary control are included in this sector.
Real Estate
The Real Estate and Rental and Leasing sector comprises establishments primarily engaged in renting, leasing, or otherwise
allowing the use of tangible or intangible assets, and establishments providing related services. The major portion of this
sector comprises establishments that rent, lease, or otherwise allow the use of their own assets by others. The assets may be
tangible, as is the case of real estate and equipment, or intangible, as is the case with patents and trademarks. This sector also
includes establishments primarily engaged in managing real estate for others, selling, renting and/or buying real estate for
others, and appraising real estate.
These activities are closely related to this sector’s main activity, and it was felt that from a production basis they would best
be included here. In addition, a substantial proportion of property management is self-performed by lessors. The main
components of this sector are the real estate lessors industries; equipment lessors industries (including motor vehicles,
computers, and consumer goods); and lessors of nonfinancial intangible assets (except copyrighted works). Excluded from
this sector are real estate investment trusts (REITS) and establishments primarily engaged in renting or leasing equipment
with operators. REITS are classified in Subsector 525, Funds, Trusts, and Other Financial Vehicles, because they are
considered investment vehicles. Establishments renting or leasing equipment with operators are classified in various
subsectors of NAICS depending on the nature of the services provided (e.g., transportation, construction, agriculture). These
activities are excluded from this sector because the client is paying for the expertise and knowledge of the equipment
operator, in addition to the rental of the equipment. In many cases, such as the rental of heavy construction equipment, the
operator is essential to operate the equipment.
Professional, Scientific, and Technical Services
The Professional, Scientific, and Technical Services sector comprises establishments that specialize in performing
professional, scientific, and technical activities for others. These activities require a high degree of expertise and training. The
establishments in this sector specialize according to expertise and provide these services to clients in a variety of industries
and, in some cases, to households. Activities performed include: legal advice and representation; accounting, book-keeping,
and payroll services; architectural, engineering, and specialized design services; computer services; consulting services;
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research services; advertising services; photographic services; translation and interpretation services; veterinary services; and
other professional, scientific, and technical services. This sector excludes establishments primarily engaged in providing a
range of day-to-day office administrative services, such as financial planning, billing and recordkeeping, personnel, and
physical distribution and logistics. These establishments are classified in Sector 56, Administrative and Support and Waste
Management and Remediation Services.
Management of Companies and Enterprises
The Management of Companies and Enterprises sector comprises (1) establishments that hold the securities of (or other
equity interests in) companies and enterprises for the purpose of owning a controlling interest or influencing management
decisions or (2) establishments (except government establishments) that administer, oversee, and manage establishments of
the company or enterprise and that normally undertake the strategic or organizational planning and decision-making role of
the company or enterprise. Establishments that administer, oversee, and manage may hold the securities of the company or
enterprise. Establishments in this sector perform essential activities that are often under-taken, in-house, by establishments in
many sectors of the economy. By consolidating the performance of these activities of the enterprise at one establishment,
economies of scale are achieved. Government establishments primarily engaged in administering, overseeing, and managing
governmental programs are classified in Sector 92, Public Administration. Establishments primarily engaged in providing a
range of day-to-day office administrative services, such as financial planning, billing and recordkeeping, personnel, and
physical distribution and logistics are classified in Industry 56111, Office Administrative Services.
Administrative and Support and Waste Management and Remediation Services
The Administrative and Support and Waste Management and Remediation Services sector comprises establishments
performing routine support activities for the day-to-day operations of other organizations. These essential activities are often
undertaken in-house by establishments in many sectors of the economy. The establishments in this sector specialize in one or
more of these support activities and provide these services to clients in a variety of industries and, in some cases, to
households. Activities performed include: office administration, hiring and placing of personnel, document preparation and
similar clerical services, solicitation, collection, security and surveillance services, cleaning, and waste disposal services. The
administrative and management activities performed by establishments in this sector are typically on a contract or fee basis.
These activities may also be performed by establishments that are part of the company or enterprise. However,
establishments involved in administering, overseeing, and managing other establishments of the company or enterprise, are
classified in Sector 55, Management of Companies and Enterprises. These establishments normally undertake the strategic
and organizational planning and decision making role of the company or enterprise. Government establishments engaged in
administering, overseeing, and managing governmental programs are classified in Sector 92, Public Administration.
Educational Services
The Educational Services sector comprises establishments that provide instruction and training in a wide variety of subjects.
This instruction and training is provided by specialized establishments, such as schools, colleges, universities, and training
centers. These establishments may be privately owned and operated for profit or not for profit, or they may be publicly
owned and operated. They may also offer food and accommodation services to their students. Educational services are
usually delivered by teachers or instructors that explain, tell, demonstrate, supervise, and direct learning. Instruction is
imparted in diverse settings, such as educational institutions, the workplace, or the home through correspondence, television,
or other means. It can be adapted to the particular needs of the students, for example sign language can replace verbal
language for teaching students with hearing impairments. All industries in the sector share this commonality of process,
namely, labor inputs of instructors with the requisite subject matter expertise and teaching ability.
Health Care and Social Assistance
The Health Care and Social Assistance sector comprises establishments providing health care and social assistance for
individuals. The sector includes both health care and social assistance because it is sometimes difficult to distinguish between
the boundaries of these two activities. The industries in this sector are arranged on a continuum starting with those
establishments providing medical care exclusively, continuing with those providing health care and social assistance, and
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finally finishing with those providing only social assistance. The services provided by establishments in this sector are
delivered by trained professionals. All industries in the sector share this commonality of process, namely, labor inputs of
health practitioners or social workers with the requisite expertise. Many of the industries in the sector are defined based on
the educational degree held by the practitioners included in the industry. Excluded from this sector are aerobic classes in
Subsector 713, Amusement, Gambling and Recreation Industries and non-medical diet and weight reducing centers in
Subsector 812, Personal and Laundry Services. Although these can be viewed as health services, these services are not
typically delivered by health practitioners.
Arts, Entertainment, and Recreation
The Arts, Entertainment, and Recreation sector includes a wide range of establishments that operate facilities or provide
services to meet varied cultural, entertainment, and recreational interests of their patrons. This sector comprises (1)
establishments that are involved in producing, promoting, or participating in live performances, events, or exhibits intended
for public viewing; (2) establishments that preserve and exhibit objects and sites of historical, cultural, or educational
interest; and (3) establishments that operate facilities or provide ser-vices that enable patrons to participate in recreational
activities or pursue amusement, hobby, and leisure-time interests. Some establishments that provide cultural, entertainment,
or recreational facilities and services are classified in other sectors.
Excluded from this sector are: (1) establishments that provide both accommodations and recreational facilities, such as
hunting and fishing camps and resort and casino hotels are classified in Subsector 721, Accommodation; (2) restaurants and
night clubs that provide live entertainment in addition to the sale of food and beverages are classified in Subsector 722, Food
Services and Drinking Places; (3) motion picture theaters, libraries and archives, and publishers of newspapers, magazines,
books, periodicals, and computer software are classified in Sector 51, Information; and (4) establishments using
transportation equipment to provide recreational and entertainment services, such as those operating sightseeing buses, dinner
cruises, or helicopter rides are classified in Subsector 487, Scenic and Sightseeing Transportation.
Accommodation and Food Services
The Accommodation and Food Services sector comprises establishments providing customers with lodging and/or preparing
meals, snacks, and beverages for immediate consumption. The sector includes both accommodation and food services
establishments because the two activities are often combined at the same establishment. Excluded from this sector are civic
and social organizations; amusement and recreation parks; theaters; and other recreation or entertainment facilities providing
food and beverage services.
Other Services
The Other Services (except Public Administration) sector comprises establishments engaged in providing services not
specifically provided for elsewhere in the classification system. Establishments in this sector are primarily engaged in
activities, such as equipment and machinery repairing, promoting or administering religious activities, grantmaking,
advocacy, and providing dry-cleaning and laundry services, personal care services, death care services, pet care services,
photofinishing services, temporary parking services, and dating services. Private households that engage in employing
workers on or about the premises in activities primarily concerned with the operation of the household are included in this
sector. Excluded from this sector are establishments primarily engaged in retailing new equipment and also performing
repairs and general maintenance on equipment. These establishments are classified in Sector 44-45, Retail Trade.
Public Administration
The Public Administration sector consists of establishments of federal, state, and local government agencies that administer,
oversee, and manage public pro-grams and have executive, legislative, or judicial authority over other institutions within a
given area. These agencies also set policy, create laws, adjudicate civil and criminal legal cases, provide for public safety and
for national defense. In general, government establishments in the Public Administration sector oversee governmental
programs and activities that are not performed by private establishments. Establishments in this sector typically are engaged
in the organization and financing of the production of public goods and services, most of which are provided for free or at
prices that are not economically significant.
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Government establishments also engage in a wide range of productive activities covering not only public goods and services
but also individual goods and services similar to those produced in sectors typically identified with private-sector
establishments. In general, ownership is not a criterion for classification in NAICS. Therefore, government establishments
engaged in the production of private-sector-like goods and services should be classified in the same industry as private-sector
establishments engaged in similar activities. As a practical matter, it is difficult to identify separate establishment detail for
many government agencies.
To the extent that separate establishment records are available, the administration of governmental programs is classified in
Sector 92, Public Administration, while the operation of that same governmental program is classified elsewhere in NAICS
based on the activities performed. For example, the governmental administrative authority for an airport is classified in
Industry 92612, Regulation and Administration of Transportation Programs, while operating the airport is classified in
Industry 48811, Airport Operations. When separate records are not available to distinguish between the administration of a
governmental program and the operation of it, the establishment is classified in Sector 92, Public Administration. Examples
of government-provided goods and services that are classified in sectors other than Public Administration include: schools,
classified in Sector 61, Educational Services; hospitals, classified in Subsector 622, Hospitals; establishments operating
transportation facilities, classified in Sector 48-49, Transportation and Warehousing; the operation of utilities, classified in
Sector 22, Utilities; and the Government Printing Office, classified in Subsector 323, Printing and Related Support Activities.
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