University of Rhode Island
DigitalCommons@URI
Open Access Master's Theses
1990
The Planner's Database: Foster, Rhode Island
Steven P. Fusco
University of Rhode Island
Michael A. Phillips
University of Rhode Island
Terence M. Whalen
University of Rhode Island
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Fusco, Steven P.; Phillips, Michael A.; and Whalen, Terence M., "The Planner's Database: Foster, Rhode Island" (1990). Open Access
Master's Theses. Paper 657.
http://digitalcommons.uri.edu/theses/657
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THE PLANNER'S DATABASE:
FOSTER, RHODE ISLAND
BY
STEVEN P. FUSCO
MICHAEL A. PHILLIPS
TERENCE M. WHALEN
A RESEARCH PROJECT SUBMITTED IN
PARTIAL FULFILLMENT OF THE REQUIREMENTS
FOR THE DEGREE AND MASTER OF
COMMUNITY PLANNING
UNIVERSITY OF RHODE ISLAND
1990
MASTER OF COMMUNITY PLANNING
RESEARCH PROJECT
OF
STEVEN P. FUSCO
MICHAEL A. PHILLIPS
TERENCE M. WHALEN
Approved:
Major Professor
Acknowledged:
Director
A C IC H 0 W L B D G B N B H T S
This project could not have been possible without the
contributions of many people. In particular, the Project Team would like
to thank the women in the Foster Town Clerk's Office; Heidi Colwell,
Anne Carlson, Tina Simula and Maureen Comerford, for their extraordinary
patience and good humor during many long days of data collection.
In addition we would like to thank David Winsor for his valuable
advice and contributions. Finally, we would like to recognize our major
professor, Dr. John Kupa for his unending enthusiasm and encouragement
that kept us focused and on schedule.
ii
TABLE
C 0 JI T B JI T S
0 F
A C K N 0 WL E D G E ME N T S
L I S T
0 F
T A B L E S
L I S T
0 F
F I G U R E S
C H A P T E R
P R 0 J E C T
ii
v
vi
0 N E
0 V E R V I E W
1
The Project Area
The Project Concept
Computer Database Capabilities
C H A P T E R
T W0
D A T A
ME T H 0 D S
12
Data Collection
Data Fields
Hap and Lot Description
Land Value
Building Value
Lot Size
Zoning
Land Use
Building Grade
Number of Stories
Occupancy •
Heating Fuel Type
Number of Bathrooms
Number of Bedrooms
Total Number of Rooms
Building Age
First Floor Square Footage
Lot Frontage
Watershed •
Wetlands
'\
1
4
7
C H A P T E R
T H R E E
A D MI N I S T R A T I 0 N
D A T A B A S E
Administration Overview •
Update Procedure
iii
12
15
15
16
17
18
18
19
19
21
21
21
22
22
22
23
23
24
24
24
26
26
27
TABLE OF CONTEHTS (continued ••• )
C H A P T E R
F 0 U R
A P P L I C A T I 0 N S
32
Present Conditions
Land Use Summary
Vacant Land Summary •
• • • •
Basic Housing Characteristics • •
Energy Use • • • •
Forecasting Uses • • • •
Population Estimate •
Frontage Buildout •
Backlot Buildout • • • •
Frontage Buildout Population Estimate • • • • • •
Fiscal Implications of Buildout •
• • • • • •
Scenario Building • • • • • • • • • • • • •
Analyzing the Effects of Proposed Legislation
Identification of Land for Acquisition
Archiving Summary Statistics • • • • • • • • • •
C H A P T E R
33
33
36
39
42
4S
4S
48
Sl
S4
SS
S8
S8
61
63
F I V E
76
76
76
RECOMMENDATIONS • • • •
Additional Data Fields • • • • •
Soil Type
Steep Slopes
• • • •
Aquifer • • •
• • • •
Endangered Species • • • • • •
General Suggestions •
Compatibility with Other Systems
Equipment Purchase
Conclusions •
81
81
R E F E R E N C E S
83
A P P E N D I X
A
T H E
P L A N N E R ' S
A P P E N D I X
DAT A
D A T A B A S E • • • • • • • • • • • •
77
78
78
79
79
84
B
S 0 U R C E
D E T A I L • • •
Guidelines for Classification •
Tax Assessor's Data Card • • • •
B I B L I 0 G R A P H Y • • • •
141
141
143
14S
iv
L I S T
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
'\
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
Table
0.,.
TABLES
1.--Tax Assessor's Data Fields Used in the Database
2.--Additional Data Fields • • • • • • • • • • •
3.--Sample Planner's Database Record - Foster RI
4.--zoning Codes - Foster, RI
• • • • •
• • • •
5.--Standard Rhode Island Property Codes Used in the Planner's
Database • • •
6.--Building Grade Codes • • • • •
7.--Heating Fuel Codes • • • • • •
8.--Land Use Sununary 1990 - Foster, RI •
9.--Vacant Land 1990 - Foster, RI
10.--Narragansett Electric Company Easements - Foster, RI
11.--Parcels Owned by Water Supply Board - Foster, RI •
12.--Housing Characteristics by Grade - Foster, RI
13.--Residential Heating Types - Foster, RI • • • • • •
14.--Heating Types for New Units by Decade - Foster, RI •
15.--Frontage Buildout Worksheet and Totals • • • • • •
16.--Backlot Buildout Worksheet and Totals •• • • • • •
17.--Population Estimate Based Upon Frontage Lot Buildout
18.--Predicted Number of Additional School-Age Children • • •
19 . --Vacant Conunercial and Industrial Land in the Scituate
Reservoir Watershed • • • • • • • • • • • • • • • • • •
20.--Vacant Land Value in the Scituate Reservoir Watershed
21.--The Average Value of Substandard Lots of Record vs.
Unbuildable Land in the Scituate Reservoir Watershed
22.--Vacant Land Purchase Scenario • • • • • • • •
23.--Single-Family Residences by Map - Foster, RI •
24.--Two-Family Units by Map - Foster, RI •
25.--Multi-Family Units by Map - Foster, RI •
26.--Mixed Residential Units. - Foster, RI •
27.--Residential Farms by Map - Foster, RI • • • • • • • • •
28.--Seasonal Residential Units - Foster, RI
29.--conunercial Property Less Than $100,000 - Foster, RI
30.--Conunercial Property Greater Than $100,000 - Foster, RI •
31.--Total Industrial Property - Foster, RI •
• •••
32.--cemeteries by Map - Foster, RI • • •
• •••
33.--charitable Property by Map - Foster, RI • • • • • • • •
34.--Church Property by Map - Foster, RI
35.--Library Property by Map - Foster, RI •
36.--Town Property by Map - Foster, RI
••••
3 7. --state P.roperty by Map - Foster, RI • •
• • • • • • •
38.--Utility Property by Map - Foster, RI •
• ••••
39 . --other Improved Land by Map - Foster, RI • • • • • • • •
40.--Vacant Residential Land by Map - Foster, RI
41.--Farm, Forest and Open Space Land by Map - Foster, RI
42 . --Vacant Conunercial/Industrial Land by Map - Foster, RI
43.--0ther Vacant Land by Map - Foster, RI
••• • •
44.--Components of a GIS
• • • • •
• ••••••
v
13
14
14
18
20
19
21
35
37
38
38
40
44
44
51
53
54
57
58
59
61
63
65
66
66
67
67
68
68
69
69
70
70
70
71
71
72
72
73
74
74
75
75
80
L I S T
Figure
Figure
Figure
Figure
Figure
Figure
Figure
Figure
Figure
Figure
Figure
Figure
F I G U R B S
0 ..
1.--Location of Foster in Rhode Island
2.--Map of Foster, Rhode Island • • • • • • • • • • • • • •
3.--Relationship of Planner's Database to Planning Process
4.--Planner's Database Updating Process
5.--Sample Database File Card • • • •
6.--Land Use Percentages 1990 • • •
7.--Average Building Area by Decade - Foster, RI
8.--Housing Units with Four or More Bedrooms
U.S. and Foster, RI • • • • • •
9.--Homes With More Than Two Bathrooms
U.S. and Foster, RI • • • • • • • • •
• •••
10.--Heating Type Percentages - Foster, RI • • • • • •
11.--Change in Installed Heating by Decade - Foster, RI
12.--Population Estimate by Number of Persons per Bedroom
Foster, RI
vi
1
2
26
28
29
34
39
41
42
43
45
47
CHAPTER
P R 0 J
0 II E
OVERVIEW
E C T
The Project Area
Foster is a rural town in northwestern Rhode Island bordering the
State of Connecticut and is bounded by the towns of Glocester to the
north, Scituate to the east, Coventry to the south, and Killingly and
Sterling, Connecticut to the
west. Figure 1 shows Foster's
location within the State of
Rhode Island, approximately
sixteen miles west of Providence.
I
The Town's 52 square miles are
I ·'
,
-
~
------···------------T~ L.L--
··i
made up of land characterized by
swampy valleys and rocky ridges
and is almost entirely covered by
forests. The poor soils and other
limitations to development, such
as steep slopes and wetlands,
have held land use within the
Figure 1:--Location of Foster in
Rhode Island
Town to small scale agricultural uses, commercial operations, and
single-family residential dwellings (Rhode Island Historical
Preservation Commission 1982).
Foster straddles two major drainage basins contributing runoff to
Narragansett Bay and Long Island Sound. Approximately one half of the
1
Town drains towards the Scituate Reservoir, which ia the primary
drinking water supply for the greater Providence metropolitan area. A
smaller aub-watershed in the southeastern corner of the Town drains to
the Flat River Reservoir, a body of water used primarily for recreation
in the Town of Coventry located to the aouth (Everett 1982).
The major roads and centers in Foster are shown in Figure 2. The
topography and soil characteristics of Feater have historically dictated
the land use pattern. Because the Town's rivers are essentially
headwaters, awift flowing and
relatively shallow, development
of large industries using water
power was thwarted. The lack of
industry and poor agricultural
soils contributed to the Town's
late settlement in comparison to
the surrounding towns. The
population grew rapidly until
1820, then declined when
opportunities for agriculture in
the western states and industry
in surrounding towns enticed
people to move away. The period
from the 1830 to 1950 was a time
of stagnation.
Figure
It was not until 1950 that Foster resumed growth. Thia waa
perpetuated by the availability of relatively inexpensive land and
2
Foster's rural character, lured people to move from the greater
Providence area (Everett 1982).
A steady influx of new residents in the 1980s prompted the Town to
enact a strict large lot zoning ordinance requiring a minimum of 5 acres
per building lot for the purpose of preserving the rural character. With
the hope of directing growth in a more responsible manner, the Town has
recently employed a part-time planner. As Foster begins the update of
its comprehensive plan, the planning process continues to evolve.
At the core of the planning process is the gathering, analyzing,
storing and distribution of information. The collection and manipulation
of data should be given a high priority. Modern microcomputer technology
provides the small town planner with the means to manage large amounts
of data quickly and efficiently.
Towns must maximize the impact of every public dollar spent. Thia
requires accurate and timely information. A computer system can provide
the means for the pooling of this information, its analysis, and its
effective use (Kops et al. 1986). Improved handling of data for planning
purposes will help achieve the Town's objectives.
Foster is in a unique position to take full advantage of the
opportunities afforded by an integrated information database. There is a
wealth of information available to decision-makers in the Town, but no
coordinated system for utilizing it. An informational database will
allow the Town to monitor and evaluate the parcel-specific impacts of
development and change.
3
The Project Concept
This study proposes to implement and test a computerized
informational database for a small town, Foster, Rhode Island. It will
provide a valuable tool for the rapid retrieval, organization, and
analysis of information essential to rational and timely decisionmaking. The database will integrate information from various local,
state, and federal sources for a comprehensive level of analysis that
would otherwise be impractical.
This study has been organized into five components. This chapter
provides a general background of Foster and the rationale for the study.
Chapter Two details the data collection process and the strengths and
weaknesses of the data sources. Chapter Three contains detailed
instructions and suggestions for database management. Chapter Four
includes a description of existing housing and land-use conditions in
Town. Additionally, the Project Team demonstrates examples of database
projection techniques and hypothetical scenarios for which the database
could be used. Recommendations for further study are included in Chapter
Five.
Hard-copy of the database in the form of 4x6 index cards has been
provided to the Town of Foster, as well as a computer diskette copy that
is compatible with the Town's current system. The index card data file
is duplicated in a list format found in Appendix A.
Martin Meyerson (1956) proposed building a "middle-range bridge"
for comprehensive planning. The middle-range bridge seeks to define a
middle ground between comprehensive planning which is not responsive
enough to the immediate needs of the community, and project planning,
4
which has no logical framework for long-range decision-making.
Meyerson envisioned five expanded functions for planning agencies:
1.
2.
3.
4.
s.
A
A
A
A
A
Central Intelligence Function
Pulse-taking Function
Policy Clarification Function
Detailed Development Plan Function
Feed-back Review Function.
Implicit in this scheme is the municipal planning authority's
ability to collect, analyze, and disseminate information. When Meyerson
proposed these additional functions, only cities with large planning
staffs could possibly be expected to handle such an enormous task. Since
then however, the advent of high-speed microcomputers and relatively
user-friendly computer filing software, spreadsheet software, and data
analysis packages allow even the smallest planning staffs the ability to
handle the mechanics of data collection and analysis with ease.
Surprisingly many large city and town planning staffs have not yet
taken advantage of the microcomputer's ability to store, sort, and
analyze data. Towns and cities typically collect a significant amount of
accurate and valuable parcel-specific data for the purpose of levying
property taxes. At least two of Rhode Island's largest cities,
Providence (Winsor Associates 1990) and East Providence (CPAD 1989) have
yet to integrate the wealth of data available from the Tax Assessor's
\
records into a usable planning database.
The Tax Assessor's database provides the framework around which
the Foster Planner's Database will be built. The Tax Assessor's database
typically includes dozens of information categories, or "fields"
pertaining to each parcel of land in Town. Several of these fields can
be of great interest to the planner. The lot size, lot frontage, zoning
s
type, and current use code, for example, provide a useful synoptic view
of the current land-use in a town without performing a tedious windshield survey. Unfortunately, until now, if this information were
desired in a usable form one would have to sort through each of the
parcel cards. A simple query like, "How many parcels of land in Town are
zoned commercial, but are currently vacant", might take hours or days to
answer. The planners database makes this type of information available
almost immediately.
An important aspect of a planning information system is the
source, scale, and detail of data. Information for the Planner's
Database will be collected and recorded on a "lot-specific" basis,
allowing for analysis at the most detailed level. The lots can be
aggregated into plats, watersheds and planning districts, to name just a
few possibilities, to allow for logical analysis at many levels.
The Tax Assessor's database is frequently kept on a computer. Why
then couldn't the planner simply access the information through the
assessor's computer? Most often the Tax Assessor's database is created
for a single purpose - to calculate and mail tax bills. The data fields
of most interest to the planner are often inaccessible. In addition, the
planner might want to integrate other information which is not available
in the assessor's database such as watershed location, hydric soils, and
natural or historical value.
6
The Planner's Database for Foster, Rhode Island will be
demonstrated in three basic fashions,
1.
2.
3.
A descriptor of current conditions
A forecasting tool
A problem solving tool for hypothetical situations that may
arise in the future.
Each demonstration will include a brief narrative describing its utility
and methodology as well as a sample output from the database.
Our intention is not necessarily to demonstrate every capability
of the database, but to provide examples of how it can be used. Future
applications are limited only by the imagination and creativity of the
user. Above all, the database is not planning, it is simply one planning
tool which if used properly can provide rapid and accurate information
for more informed decision-making.
Computer Database Capabilities
A computerized database is nothing more than an electronic filing
system. The computer allows for the database to be manipulated, sorted,
and updated faster than ever possible with a standard manual filing
system. The ease of data aggregation and output allows for a level of
analysis that would otherwise be impractical.
Each record in a database is analogous to a file card in a manual
filing system. In the Planner's Database each lot in Town is represented
by a record. The information on each record is ordered into data fields.
The data fields contain the lot specific information collected by the
Project Team for each record. Each record has the same number of fields;
each with its own unique set of data.
Each field can be accessed separately, or in conjunction with any
7
of the other fields. A selected group of records can be subtotaled or
printed according to criteria selected. For instance, with the Planner's
Database it is possible to print out a list of all lots included in
Assessor's Map 10. The output criteria can be much more complicated, and
therefor more selective for many given purposes. Chapters Three and Four
provide further details as to how data f ielda can be accessed to provide
useful information.
The database provides the capability to perform three major
functions; sorting, selection, and output. Used together, these three
functions enable the analyst to manipulate the database efficiently to
derive useful information.
The database's sorting function allows the analyst to sort the
database in any number of orders. The Planner's Database will moat often
be sorted in Map and Lot order; meaning that the records will be sorted
in ascending order from the lowest Map and Lot number to the highest.
Thia is intuitively the most logical ordering of the database, and
provides the simplest order for locating records. It is; however, not
necessarily the most useful ordering of the database. As mentioned
earlier, the database can be accessed and manipulated by any one of the
data fields. For example, it is possible to sort the database in order
of assessed building value. In this way it would be possible in a matter
of minutes to determine the high, low, and median value of homes in
Town. A variation on this sort would be to order the database first by
Map number and then by assessed value. Then it would be possible to
determine the high, low, and median house value by Assessor's Map
number. Any number of sorts can be performed on the database to
8
rearrange the data for whatever purpose using any combination of the
data fields.
The database's selection function allows the analyst to select a
record, or group of records based upon selection criteria applied to the
data fields. In its simplest form, the selection function can be used to
locate an individual record by Map and Lot number. By entering a
particular Map and Lot number into the selection criteria, the database
will search all records until it finds a match. Within moments, the
desired record will appear on the screen along with all of its data
field information. The selection function can be used on much more
complex (but no more difficult) searches. The database can be instructed
to search for all instances of records where the assessed value is
greater than $50,000, but the lot size is smaller than ten acres. Again,
almost any variation imaginable can be used to select records. The
database will search for all records that meet the selection criteria,
and by using a few simple commands, the analyst can total and/or
subtotal the selected records.
A database's output function enables the analyst to display the
entire database, or just selected records or fields in various mediums.
The analyst may chose to display the output directly on the computer
screen, to the printer, or saved to a computer file. Each output mode
has its own advantages and disadvantages. Displaying the output on the
computer screen is an ideal way to check output before committing it to
print; however, once the computer is turned off, or the screen is rewritten, the output is lost (until that particular report format is
duplicated). Printing the output allows the analyst the opportunity to
9
review "hard copy". The printout can be taken from the office and shared
with others who do not have access to a computer. One disadvantage of
"hard copy" output is that once it is printed, it cannot be further
manipulated with the computer or accessed by other computer software
programs. Outputting the selected data to a file is a technique that
many experienced computer users find extremely flexible. The data can be
easily read or imported into other computer software packages, such as
word processors, spreadsheets, or statistical packages. Where the
database management software is best suited for updating, managing, and
selecting records, the other software packages are best suited for their
individual purposes. The bulk of this report, for instance, was written
with a word processing software package, with much of the data imported
from the database either directly, or through a spreadsheet package
where tables and graphs were created.
There are many computerized database management software programs
available on the market. They can all perform basically the same
functions. They are; however not all created equal. The price,
complexity, and capabilities differ considerably. The Project Team
determined that the database management software package selected for
the Planner's Database should exhibit all of the following
characteristics to the highest degree possible:
1.
2.
3.
4.
5.
It should be compatible with the Town of Foster's current
computer hardware
It should be compatible with the Town of Foster's existing
word-processing software
Conversions between the database and other software should
be easily accomplished
It should be relatively simple and easy to learn
It should be inexpensive.
The Project Team selected the PC-File brand database management system
10
because it fulfilled all of the proposed criteria to a very high degree.
PC-File will run on the Town's current computers. The Town Clerk
currently uses an IBM XT clone with 640 megabytes of RAM and a 20
megabyte hard drive. The Tax Assessor uses an IBM 80386 microprocessor
clone with 1 kilobyte of RAM and a 40 megabyte hard drive with tape
back-up. PC-File will run efficiently on either of these machines.
PC-File is compatible with the Town's standard word-processing
package. The Town Clerk currently has the WordPerfect 5.0 brand wordprocessor installed on the administrative computer. Conversions between
the PC-File and WordPerfect 5.0 are built into each software package,
greatly simplifying the transfer of data from one software package to
the other.
In the experience of the Project Team PC-File is by far the
simplest database package to use and learn. All sort, search, and output
commands are easily accessed through interactive menus such that it is
unnecessary to understand or memorize complicated commands.
PC-File was also the least expensive database management software
package of those considered. The price is less than a third of other
comparable database packages. Not a small fact to be considered in the
Project Team's budget, or the budget of a small town.
11
CHAPTER
DAT A
T W 0
M E T B 0 D S
This chapter outlines the data collection process and provides a
detailed description of the data fields collected for the Planner's
Database. The data collection process involved incorporating Town Tax
Assessor records with other data compiled by the Project Team to
construct the database. In the Data Field section each field will be
explained individually as to how it was originally collected, how the
Project Team further manipulated the data field, and its underlying
strengths and limitations.
Data Collection
The Foster Tax Assessor records are the primary data source for
the Planner's Database. The data is reasonably current, as the moat
recent revaluation of property was August, 1989. The revaluation was
contracted out by the town to MMC Inc., a professional property
valuation company located in Chelmsford, Massachusetts. MMC Inc. used a
standard replacement value method to assess buildings and other real
property in town. Current market value for land was determined and
applied to each parcel individually, taking into consideration such
variables as suitability for further subdivision and suitability for
development. Specific details as to how each data field was collected
and interpreted by MMC Inc. are available in the evaluator's guidebook,
"Foster, Rhode Island, Fiscal Year, 1989, Residential Manual", a copy of
which is available on file at the Foster Town Clerk's Office.
12
j
In determining real property values, MMC Inc. collected many
technical details regarding each parcel and building in town that may be
of great use to planners. A sample assessment data card used by MMC Inc.
in the August 1989 revaluation for Foster is included in Appendix B.
Table 1 shows the fourteen data fields that the Project Team selected
from the Tax Assessor's database that would be of the most use in the
Planner's Database.
Table 1.--Tax Assessor's Data Fields Used in the Planner's Database
1.
2.
3.
4.
s.
6.
7.
Map and lot description
Land Value
Building Value
Lot Size
Land Use
Building Condition
Number of Stories
8.
9.
10.
11.
12.
13.
14.
Occupancy
Heating System Type
Number of Bathrooms
Number of Bedrooms
Total Number of Roome
Building Age
First Floor Square
Footage
The exclusive purpose of Tax Assessor's system is to update
property value information and to mail tax bills. As a result, accessing
and manipulating data fields within the Tax Assessor's computer system
is unwieldy, if not impossible. For this reason, it was necessary for
the Project Team to manually extract the fourteen data fields from the
hard copy file cards for each of the 2,256 property files. The data was
then entered into the Planner's Database, using the PC-File brand
'
database management software.
As valuable as the Tax Assessor's system is, it does not provide
all the information needed by planners. To augment the Assessor's data,
the Project Team collected a number of additional data fields. Zoning,
lot frontage, watershed and wetlands information were collected on lotspecific basis to enhance analysis capability of the Planner's Database.
13
The additional data fields and their sources are shown in Table 2.
Table 2.--Additional Data Fields
Data Field
l. Zoning
2. Lot Frontage
3. Watershed
4. Wetlands
Primary Source
Official Zoning Map
Assessor's Map
USGS Topographic Maps
USGS Topographic Mapa
Table 3 is a sample of one of the 2,256 data records in the
Planner's Database. The record appears just as it will when accessed
through the PC-File database
management software.
Abbreviated titles are used for
Table 3.--Sample Planner's Database
Record - Foster· RI
Record #21
each of the fields. Each of the
fields presented can be easily
modified, manipulated, or updated as necessary.
Each parcel of land in
Foster has at least one record.
Each record consists of the
data fields shown in Table 3.
If a particular field does not
apply to a given parcel, it has
been left blank, or assigned a
MAP
LOT
SUB
BLDG VALUE
PROP VALUE
ACRES
USE CODE
ZONING
GRADE
STORIES
OCCUPANCY
HEAT TYPE
BEDROOMS
BATHROOMS
TOTAL ROOMS
YEAR BUILT
SQFT
FRONTAGE
WETLANDS
WATERSHED
[l
[2
[A J
[67.9
[53.4 J
[5.5 J
[l J
[l]
[3]
[2 J
[l J
[2 J
[4 J
[2 J
[8 J
[1952]
[ l. 3 J
[450 J
[1 J
[
J
zero value.
Several properties in Foster have more than one significant
dwelling unit. In this event the Project Team created a secondary record
to supplement the primary parcel record. The secondary record for an
14
additional building on a parcel contains virtually the same fields as
the primary card, with two important differences; 1. the building fields
are unique to the second building, and 2. the land value and acreage
fields are zero to avoid the double counting of land area and value.
Data Fields
The fourteen Tax Assessor data fields and four additional data
fields comprise the framework around which all data manipulation and
forecasting is accomplished. It is important to understand the
underlying strengths and weaknesses of each of the data fields as they
were collected for the Planner's Database. Each data field will be
explained individually as to how it was originally collected by the
primary data source, how the Project Team further manipulated the data
field, and its underlying strengths and limitations.
Map and Lot Description
The Map and Lot Description actually consists of three separate
data fields - Map, Lot, and Sub-lot. The Assessor's Map divides the town
into twenty-two numbered Maps. The first eighteen of which are generally
the same size and have anywhere from fifty to eighty lots. Maps number
nineteen through twenty-two constitute the historical nodes, or village
centers, and are therefor smaller in area, but do not necessarily have
fewer lots or buildings than the larger Maps due to generally smaller
lot sizes.
The Map, Lot, and Sub-lot numbers are assigned by the Tax Assessor
for each parcel of land in town. The complete list was verified by MMC
Inc. prior to the revaluation in August, 1989. The Project Team entered
15
these fields exactly as determined by MMC Inc. with minor adjustments to
account for land sub-divided since August according to the Planning
Department's records of approved subdivisions.
The Tax Assessor's database, generated by MMC Inc. apparently has
difficulty dealing with the alpha-numeric ordering of "mixed" fields. An
example of a mixed field is "Lot 14Al". Instead of ordering this lot
between "Lot 14A" and "Lot 15", for example, the Assessors database will
in effect reject the mixed numbering system and send "14Al" to the end
of the list. The Project Team's database has gotten around this data
quirk, and all Maps, Lots, and Sublots can be arranged in proper alphanumeric order. Unfortunately, this can cause some confusion when
comparing the Tax Assessor's alpha-numeric listing to the Planner's
Database.
The alpha-numeric system difficulties are further exacerbated by
the lack of a consistent numbering scheme in town. New sub-division
numbering is apparently left up to the land owner, or map surveyor. For
example, Map 17, Lot 45 might be sub-divided into three lots by one
person as Lots 45, 45 A, and 45 B. Another sub-divider might chose 45,
45 1, and 45 2. A consistent numbering scheme would be helpful in the
orderly division and recording of sub-divisions.
'
Land Value
The Land Value data field is taken directly from the Tax
Assessor's parcel card. The market value of land was determined by MMC
Inc. using property size, property characteristics, and potential
property uses. Real property in Foster is taxed at a 50% valuation. The
land value data collected by the Project Team represents 100% valuation.
16
The Project Team recorded values for both land and buildings in
thousands of dollars, with one decimal place accuracy. Where necessary,
the MMC Inc. valuation was rounded up or down as appropriate. Thia was
only necessary for a very few entries, as the MMC Inc. valuation was for
the most part expressed in hundreds of dollars.
Land values can change dramatically over time. The land values in
the Planner's Database should be used carefully. However, assuming land
values in Foster rise generally evenly across the board, the land value
data can be used effectively to make comparisons between areas in town,
between individual parcels, or as a relative indicator of property
worth.
If needed the actual current land values could be estimated using
an correction multiplier determined by comparing assessed value to
actual sales data. See Chapter Four for further details.
Building Value
Like the Land Value data field, the Building Value Field was
extracted directly from the Tax Assessor's database. For ease of data
entry and to save computer file space, the values were entered in
thousands of dollars with one decimal place representing hundreds of
dollars. The figures collected represent 100\ valuation.
MMC's method for determining market value is based upon a
replacement cost method that takes into consideration the building
grade, or quality of workmanship, type of construction, building style,
the number of bedrooms, bathrooms, and total rooms, the effective year
of construction, the total square footage, and any other special
features such as brick fireplaces.
17
Lot Size
Lot sizes were collected from the Tax Assessor's database in
acres. MMC Inc. collected the original data from the previous set of
valuation cards, which have been updated continuously since the last
valuation. The lot size data are considered to be fairly accurate.
Still, many properties have not been surveyed in many years and when
modern surveys are made, differences up to an acre or more are not
unco1M1on (Smith 1990). As with all fields, an effort should be made to
update the data as new and better information becomes available. The
method for updating records and individual fields will be discussed more
fully in Chapter Three.
Zoning
The appropriate zoning
Table 4.--Zoning Codes - Foster, RI
category was determined for every
DESCRIPTION
lot by comparing the Town of
1.
2.
3.
4.
5.
Foster Official Zoning Map to the
Tax Assessor's maps. Several
Residential/Agricultural
Senior Citizen Housing
Neighborhood ColMlercial
Highway Co1M1ercial
Manufacturing / Industrial
zones, particularly the Highway
Co1M1ercial Zone along
u.s. Route 6, cut across property lines such that
a parcel might be partially in the Highway Co1M1ercial Zone, and
'\
partially in the Residential/ Agricultural Zone. A parcel which is ten
acres might only have four acres in the Highway Co1M1ercial Zone. In all
cases, the higher use category was assigned to a property which included
more than one zone. Table 4 shows the codes which were assigned to each
zoning classification for the purpose of the Planner's Database.
18
Land Use
The Land Use data field describes the appropriate use of the
parcel as determined by MMC Inc. from the existing Tax Assessor's
database and from the individual site visits accomplished in August,
1989.
The code represents the most accurate description of the current
use of the property. Table 5 on the following page is an abbreviated
list of land use codes which includes all codes utilized in the
Planner'-& Database. The standard Rhode Island coding system for land use
was utilized.
Building Grade
This field was collected by MMC
Inc. as a measure of a building's
relative condition and level of
workmanship. The figure was used by MMC
Inc. as a correction factor to adjust
the market value of a building either up
or down, depending upon its condition
and quality of construction. The Project
Table 6.--Building Grade Codes
CODE
DESCRIPTION
1
2
Minimum
Below Average
Average
Average +10
Average +20
Excellent
Excellent +10
Excellent +20
Luxurious
Luxurious +
3
4
5
6
7
8
9
10
Team felt that this data would serve
well as an indicator of a building's condition and the relative spatial
distribution of average, above average, and below average housing stock
in town.
The Building Grade codes were taken directly from the Tax
Assessor's database and the coding system follows the MMC Inc. method
exactly. Table 6 shows the coding system used in the MMC Inc • .
Appraiser's Guide. An explanation of the grade codes is in Appendix B.
19
Table 5.--Standard Rhode Island Property Codes Used in the Planner's
Database
IMPROVED REAL PROPERTY
~=
01.
One Family Residence.
02 .
Two to Five Family.
03.
Apartments.
04.
Combination.
OS.
Conunercial I.
06.
Commercial II.
07.
Industrial.
09.
Farm.
10.
11.
Utility and Railroad
Seasonal Property.
12.
Other Improved Land.
Also includes mobile home with
foundation on deeded lot.
Residential structure containing two to
five dwelling units.
Residential structure containing six
dwelling units or more.
A building with stores or shops on
ground floor and dwelling units on upper
floors.
A business property of small size having
a maximum assessment of 100,000.
A larger business property having a
minimum assessment of $100,001
Any industrial or manufacturing
establishment.
Any rural parcel of land of FIVE ACRES
OR MORE with or without buildings of
which at least ten percent is used for
agricultural purposes.
Any public utility or railroad property.
Residential property, such as a sununer
house, subject to seasonal occupancy.
Any improved land not included in other
classifications.
VACANT LAND
13.
14.
15.
33.
'
Residential.
A vacant lot in residential area.
Commercial/Industrial. A vacant lot located in an area zoned
for conunercial or industrial use.
Other.
Any vacant land not included in other
classifications, generally large tracts.
Farm-Forest-Open Space Land that is so classified under the
provisions of P . L. 1980, Chapter 252.
TAX EXEMPT CODES
70.
71.
72.
76.
78.
79.
80.
Cemeteries
Charitable
Churches
Libraries
Municipal
School
State
Churches and church owned property
Includes all Town Property
State land and buildings
20
Number of Stories
MMC Inc. recorded the number of stories for each building in town.
The Project Team determined this information would be necessary to
estimate the total living space for each building, since MMC Inc. only
collected the first floor square footage for each building. Although not
nearly as precise as might be desired, multiplying the first floor
square footage by the number of. stories results in an approximation of
the total square footage of a building. The square footage calculation
is intended to be used for comparison purposes only, and should not be
interpreted as an accurate representation of building size.
Occupancy
MMC Inc. determined the number of living units included in each
housing structure. In general, a second unit was considered to exist
when an area of the house had access to a separate kitchen and bathroom
facility. Occupancy for apartments or boarding rooms was determined
exclusive of kitchen and bathroom facilities when obvious signs of
partitioning existed.
Heating Fuel Type
MMC Inc. determined the primary
heating system type for each building in
'\
town. Unfortunately, no data was
collected for any secondary or back-up
heating systems. In instances where a
structure contained more than one
Table 7.--Heating Fuel Codes
CODE
DESCRIPTION
0
1
2
3
4
5
None
Wood or Coal
Oil
Gas
Electric
Solar
heating system, the MMC Inc. appraiser
recorded the more predominant, or efficient system.
21
Table 7 shows the codes used by MMC Inc. and the Planner's
Database to describe the heating fuel type. The Project Team felt this
information might be useful in the event of another "energy crisis" auch
as in the early 1970s when all town's were required to develop energy
conservation plans.
Number of Bathrooms
The number of bathrooms was collected by MMC Inc. for each
building in town. The figure represents the total number of full and
half-baths in a structure. It is therefor impossible to determine, for
example, if two baths are actually two full baths, or one full bath and
two half baths. A full bath typically includes a toilet, a sink, and a
bath or shower unit. A half bath includes only a toilet and a sink.
Regardless, the field was considered to be an important indicator of
relative housing value, and also as a possible multiplier for septic
system waste loading calculations.
Number of Bedrooms
The number of bedrooms was collected by MMC Inc. for each dwelling
unit in town. Bedrooms in the basement are not included in the total
figure. Also, any bedrooms that have been temporarily changed into a den
or dining room are counted as bedrooms (MMC Inc. 1989).
The Project Team included this field in the Planner's Database as
an indicator of relative building worth, and as a possible estimator of
population. (See Chapter Four)
Total Number of Rooms
The total number of rooms, as originally collected by MMC Inc.,
was included in the Planner's Database. The total number of rooms
22
includes all heated rooms other than bathrooms. The total does not
include low quality or semi-finished rooms below grade.
Building Age
The building age is the estimated year of original construction.
The dates were determined or estimated through various techniques;
existing Tax Assessor records, plaques on historic homes, opinion of the
homeowner, or an estimate by the appraiser. Building ages for historic
homes and newer homes are most likely the most accurate. The age of
historic homes have been painstakingly researched and documented.
Unfortunately, old houses with major renovations or additions were
considered to have been built new as of the date of new construction.
The age of homes built during this century have been continuously
recorded or are personally known by the owner or neighbors. The ages of
homes built during the 19th Century are the most suspect. Evidence of
this is the large number of homes reported to have been built in 1800.
This is either the result of an enormous building boom during that year
(unlikely) or the result of "best-guesses".
First Floor Square Footage
As mentioned in the description of the Number of Stories field,
the best available building square footage data collected by MMC Inc.
was the building's first floor square footage. This figure is used by
the Project Team to estimate total building square footage by
multiplying the first floor square footage by the number of stories. It
can also be used as a measure of the buildings' impervious area for
stormwater runoff calculations, since it approximates the building
"footprint".
23
Lot Frontage
The approximate lot frontages were collected by the Project Team
from the Tax Assessor's plat maps. Many parcels have lot frontages
indicated directly on the map. These figures were used when available.
For the large number of lots that lacked frontage data, the Project Team
scaled approximate frontages directly from the maps. While .this is not
considered an ideal method for determining and accurate frontage, it was
the best method available, and should not result in an appreciable error
for the purpose the data was collected. The frontages were collected to
determine a lot's eligibility for further
subdivision~
Since the minimum
lot frontage in Foster is 300 feet, errors within a few feet per parcel
should not effect the outcome noticeably.
Watershed
The Project Team used the USGS Topographic maps to determine the
boundary of the Scituate Reservoir (the watershed of a public water
drinking supply that serves over sixty per cent of Rhode Island) in the
Town of Foster. The watershed boundary was superimposed upon the Tax
Assessor's plat maps so that all lots that lie within the Scituate
Watershed could be identified. Lots in the watershed are marked with a
"l" in the Watershed field.
Wetlands
The presence of wetlands on a parcel was determined by the Project
Team by overlaying a hydric-soil template derived from the Rhode Island
Soil Survey on the Tax Assessor's Maps. The presence of wetlands on a
parcel is indicated by a "l". The indication of wetlands on a parcel is
not to be considered definitive. The scale of the Soil Survey and
24
Assessor's maps is such that precise accuracy is impossible. The
database can act as a reasonable guide as to the presence of wetlands in
a particular area; however, site specific surveys are necessary whether
or not the database indicates wetlands .
25
CHAPTER
DATABASE
TB REE
A D M I N I S T R A T I 0 N
Administration Overview
One of the primary purposes of the Planner's Database is to
facilitate the easy updating of records as new information becomes
available, or as changes occur. A system for ensuring that all pertinent
changes are discovered and entered into the database is needed. This
chapter will propose a framework through which the database can be
administered and updated.
Figure 3 shows the
relationship between the
Planner's Database, the Town's
organizational structure and
various components of the
planning process. The Planning
Staff will be responsible for the
updating and maintenance of the
database. The Town Council,
Departments, Boards and
Committees will be able to access
the database through requests to
the Planning Staff to augment
Figure 3.--Relationship of Planner's
Database to Planning Process
their decision-making resources.
Likewise, the Planning Staff will depend upon the Town's Departments,
26
Boards and Committees for input to update the database.
The administration and updating of the database should not be
unwieldy or overly time-consuming. One of the purposes of the database
is to save time, and streamline the planning function. It would not be
useful if the administration of the database consumed more time than it
saved.
The careful updating of the database will serve yet another
purpose. By periodically saving the database and archiving the diskette,
a permanent record of the present condition of the town can be
preserved. By constantly updating the records, a time series of data
will eventually be available to supplement the planner's projection
capabilities. Annual "snapshots" of the town's condition will enable the
planner to identify changes in the fabric of the town's makeup that
might otherwise have been imperceptible.
Update Procedure
Changes to the database may come from many sources. The primary
sources of change will most likely be the result of:
1.
2.
3.
4.
5.
Building demolitions
New building construction
Zoning changes
New divisions of land
Corrections
Most of the changes to the database will come from new construction and
divisions of land.
Figure 4 demonstrates the basic permit procedure and its
relationship to the updating of the Planner's Database. For example,
when an application for a building permit is filed, the Planner's
27
Database can be used by the Building Inspector to help determine the
property's suitability for construction. When the new building is
completed, the Building Inspector will issue a certificate of occupancy
and update his files. It is recommended that the Planning Staff requests
on a quarterly basis all new certificates of occupancy issued. Upon
notification, the Planning Staff should request the new buildings'
valuation data from the Tax Assessor. This data should complete the
information necessary to update the new property.
Another opportunity for the maintenance and updating of the
database is on the occasion of parcel subdivision. Applications for the
division of land will involve inputs to and from the Planner's Database.
To ensure conformance with
relevant zoning and subdivision
ordinances, an initial
application can be reviewed for
general suitability by accessing
BOILDIHG
PLAllJIER' S
nDln
INSPECTOR
......
PLAJIRIJG
80ARD
llVIEY
the Planner's Database
information fields such as
......
TAX
frontage, acreage, zoning,
A S~ E S SO R '
..___ _----l
S
•1131' m
wetlands, and watershed. Once a
subdivision of land is approved,
SOBDIVISIOll
PROCESS
Pltlf . f.f.Lll
Figure 4.--Planner's Database Updating
Process
the Planner's Database will need to be updated to reflect the new
information. Again, the Tax Assessor must be contacted to provide the
new assessed value for the newly divided parcels.
New records will need to be started for lots that are created.
Acreage and frontage will need to be subtracted from existing lots which
28
are further divided. It is recommended that the hard-copy index card
file provided as part of this project be used to record changes to
records as they occur. Records that are changed should be temporarily
"flagged" until the appropriate computer entries are made. Newly created
parcels would be designated with a temporary hand-scribed index card
with all available data. Figure 5 depicts a sample file card generated
by the Project Team for the Town of Foster for the convenient updating
and maintenance of the Planner's Database.
Map: l
Use Code: l
Lot: 2A
Zoning: l
BLDG VALUE
67,900
PROP VALUE
53,400
BLDG. GRADE
3
ACRES
5.5
STORIES
2.0
FRONTAGE
450
OCCUPANCY
l
WETLANDS
l
HEAT TYPE
2
WATERSHED
BATHROOMS
4
NOTES:
BEDROOMS
2.0
TOT ROOMS
8
YEAR BUILT
1952
SQ. FOOTAGE
1,300
Figure 5.--Sample Database File Card
The typical division of land will involve two separate operations:
the modification of the existing master lot and the creation of new
records for the newly created lots. The first step in modifying the
Planner's Database is to make sure that the hard copy index card is
properly filled out with all the information that is needed the records.
29
In PC-File, a record is modified by first locating the appropriate
record and calling it up on the screen. From PC-File's main menu, the
operator simply selects "Find a Record" by pushing either the "F2" key
or "F". PC-File then asks how the operator wishes to find a record. The
simplest method for finding a specific Map and Lot is through a "Search"
- press the "S" key to access PC-File's search mode. PC-File will then
ask if the operator wishes to perform a complex or a simple search. A
complex search (actually complex only in name, not execution) is used
for specifying limits or ranges for records to be selected and is more
often used for data analysis. The simple search is well suited for
finding a specific Map and Lot record. Select the "S" key for a simple
search.
PC-File will then display a blank record. The operator need only
enter Map and Lot number of the desired record in the appropriate blanks
and press the "FlO" key to begin the search. When PC-File finds a match
for the search criteria, the record will be displayed on the screen.
If for some reason it is not the correct record, the search can be
continued, or a new search with new criteria can be executed by pressing
the appropriate menu key as shown in the inset command box.
When the proper record is displayed on the screen press "M" for
modify (also from the inset command box). Any or all of the fields can
now be modified by using the arrow keys to position the cursor on the
field to be updated and typing in the new data.
When the record has been properly updated and checked, press the
"FlO" key to finish modifying. Now press "Q" to quit the find function
and return to the Main Menu.
30
Now all that remains is to add new records for the lots that were
created. This operation is much simpler than modification. From the main
menu, simply press the "Fl" key or "A" to add a new record. PC-File will
immediately display a blank record and allow the operator the
opportunity to type the appropriate data in the blank fields.
Use the arrow keys to move from field to field to enter data and
to correct any mistakes. When the data is entered correctly, press the
"FlO" key to add the record to the database. PC-File will give you a
chance to decide whether or not you really want to add the record check the data once again and select "Y" for yes - add the record.
Continue adding records until you are done.
In order to leave PC-File's add a record mode, the operator must
first add the final record and, without entering any data in the next
blank record, press the "FlO" key. PC-File will automatically return to
the Main Menu.
The on-screen menus frequently provide enough information to solve
almost any problem or question the operator might have. If the operator
needs additional help, the "Alt-H" keys (press the "Alt" and "H" keys
simultaneously) can be pressed for detailed on-line help that is
specific to the operation, or screen currently displayed.
31
CHAPTER
P' 0 U R
A P P L I C A T I 0 MS
This chapter demonstrates some of the capabilities of the
Planner's Database.
The chapter is divided into three sections; a
description of Present Conditions, a demonstration of Forecasting Uses,
and a scenario Building section that illustrates potential situations
for which the database might be used.
The Present Conditions section describes the current land use, a
vacant land summary, basic housing characteristics, and a summary of
home heating energy uses. Knowledge of the current conditions in Town is
vital to the planning process since it gives the planner a baseline for
informed decision making. This section is not all-inclusive, but
provides a demonstration some of the inventory capabilities of the
Planner's Database. Many other combinations of current conditions are
possible depending upon the planning situation.
An important responsibility of the planner is the ability to
identify trends and predict future requirements. The Forecasting Uses
section provides demonstrations of how the Planner's Database can be
used to predict population, housing, and fiscal needs. The database is
used to identify past trends. These trends are analyzed and projected to
predict possible future conditions. Various parameters and techniques
can be applied to determine best, worst, and most likely scenarios.
The Scenario Building section highlights the flexibility and
utility of the Planner's Database in hypothetical situations. The
32
potential effects of proposed legislation is demonstrated using the
Scituate Watershed Management Plan as an example. The database is used
to identify the location of a hypothetical school/recreational complex.
Finally, the benefits of periodically "archiving" the current condition
of the Town through the Planner's Database are discussed.
Present Conditions
Land Use Summary
The land use pattern within a community is framed by its
historical development, nature of its land, political and regulatory
structure, public agencies, financial agents, and economic conditions.
For the Planner to determine where the Town is going in the future, an
accounting of the present scheme of land use is required. Evolution of
changes in the land use pattern can be noted by making comparisons to
points in time in the past. By evaluating the changes over time and the
forces mentioned above, trends are identified and projections can be
made (Chapin & Kaiser 1985). The Project Team has accounted for the
various lands use within Foster for 1990.
Land uses within the town of Foster range in intensity from single
family residential to industrial. Land used for residential purposes
constitutes the largest percentage of all types of land use with
17,162.5 acres. Commercial and industrial uses account for 593.9 acres,
the second largest use of land. The remainder of the Town's land is used
for municipal and state purposes, utility owned land, cemeteries,
churches and conservation land. Close to 697 acres are devoted to these
other uses. A significant portion of Foster remains vacant. Vacant land
33
accounts for 12,368.0 acres. These totals allow the planner to calculate
the percentages of land use in Foster. Figure 6 indicates the
percentages of land use within the Town for 1990.
Looking at the specific uses
within the above land use groupings,
such as single-family residential,
cemeteries, and Town owned land,
~c• . •1
gives a more detailed indication of
the predominant land uses in Foster.
The basic land use categories are
further disaggregated by acreage and
Figure 6.--Land Use Percentages
1990
percentage totals for sub-categories as illustrated in Table 8 on the
following page. The breakdown of vacant land will be analyzed in a
following section titled Vacant Land Summary.
Approximately 32,832 acres of the Town's 33,408 acres are devoted
to the land uses in Table 8. The Planner's Database includes every
parcel of land in Foster, but does not include roads and road right's of
way. The remaining 555 acres are comprised of road right of ways (ROWs),
and open water bodies that form property boundaries.
The database was used to estimate the total length of roads in the
Town.
This figure is estimated to be around 102 miles. The number was
calculated by totalling the frontage field in the Planner's Database and
dividing it by 5,280 (feet/mile). This product is then divided by two to
account for the two sides of a roadway. This is a rough estimate because
frontages of all lots were scaled from reduced maps.
34
Table 8.--Land Use Summary 1990 - Foster, RI
RESIDENTIAL LAHD USE
AREA
(ACRES)
\ OF
RESIDENTIAL
'
OF TOTAL
LAND USE
Single-family
Two-family
Multi-family
Mixed-use
Farm
Seasonal
15,584.1
305.6
32.1
45.5
693.8
501.4
90.8\
1.8\
0.2\
0.3\
4.0\
2.9\
47.4'
0.9\
0.1'
0.1\
2.1'
1.5\
Residential Totals
17,162.5
100.0\
52.2\
COMMERCIAL/INDUSTRIAL
LAHD USE
AREA
(ACRES)
\ OF
COMM./IND.
'
OF TOTAL
LAND USE
Commercial
Industrial
537.6
56.3
90.5\
9.5\
1.6\
0.2\
Commercial/Industrial Totals
593.9
100.0\
1.8\
OTHER LAHD USES
AREA
(ACRES)
\ OF
OTHER
'
OF TOTAL
LAND USE
Cemeteries
Charitable
Churches
Libraries
Town
State
Utilities
9.9
128.8
65.9
1.3
66.0
97.7
2,368.9
0.4\
4.7\
2.4'
<0.1'
2.4'
3.6%
86.5\
<0.1\
0.4\
0.2%
<0.1\
0.2\
0.3\
7.2\
Other Totals
3,065.9
100.0%
8.3%
VACANT LAHD
AREA
(ACRES)
'
' OFLANDTOTAL
USE
12,368.0
AREA
(ACRES)
TOTAL LAHD
32,862.9
35
37.6\
'
OF TOTAL
LAND USE
100.0%
Vacant Land Summary
Knowing the location, size, property value and zoning of vacant
parcels is of paramount importance to the planning process. Most
development projects in rural areas target the vacant parcel. The
Planner's Database provides the planner with a tool to help locate
potential areas where growth may occur. Identification of these parcels
is also important for conservation, preservation, fiscal, environmental
and economic concerns.
The use codes for vacant parcels include categories for vacant
residential, commercial, other, and open space. These values are very
important to the performance of a Buildout Analysis. With these figures
the planner can estimate the maximum number of units that can be
constructed under current zoning regulations. This application of the
Planner's Database was performed by the Project Team and is outlined in
the Scenarios section.
Table 9 contains the acreage of vacant residential and commercial
land in Foster. The total for vacant residential is the number of acres
that could potentially be developed for residential purposes.
Vacant land has been defined by the Project Team as areas that are
currently taxed as such. When one views a map or aerial photo of Foster,
'
our calculated percentages for vacant land may appear low. There is a
considerable amount of open land that is connected to parcels of land
dedicated to other uses, such as a single family-residence on 45 acres.
These areas are, however, accounted for by the Project Team's Buildout
Analysis and considered potential areas of expansion within Town.
36
Table 9.--vacant Land 1990 - Foster, RI
Residential
Commercial
AREA
(ACRES)
\ OF
VACANT
12,293.4
99.0\
74.6
1.0\
12,368.0
Total
In addition to the 327.4 acres of land owned in Foster by
Narragansett Electric, the company possesses 75.6 acres of easements
across properties. This land was also not included in the vacant land
totals because the Project Team felt that even though the land is vacant
according to strict interpretation, it is set aside for utility use. The
number of acres in easements were also not included because they are
only legal manifestations that would lead to a double counting. Table 10
lists the easements that are owned by the Narragansett Electric Company
in Foster.
The major portion of utility owned land in Foster is owned by the
Providence Water Supply Board. The agency owns 2041.5 acres in the
Scituate Reservoir Watershed. Although this land is technically vacant
it is serving a definite assigned purpose. This land is being withheld
from development to preserve the quality of the reservoir. Table 11
indicates the parcels that are owned by the Providence Water Supply
Board.
37
Table 11.--Parcels owned by
Providence Water Supply Board
Foster, RI
Table 10.--Narragansett Electric
Company Easements
Foster, RI
MAP
MAP
3
6
6
6
6
9
12
19
22
22
TOTAL
LOT
AREA
(ACRES)
20BE
15BE
25AE
27AE
29AE
33AE
13AE
31E
38BE
38CE
31.9
1.0
0.7
0.7
7.4
24.9
0.1
0.6
5.5
2.8
3
6
6
6
9
9
12
12
12
12
12
21
75.6
TOTAL
LOT
llA
16
21A
26
27
35
12
39
47
62
66
11
AREA
(ACRES)
25.6
25.0
13.0
33.0
196.0
984.0
24.0
80.0
144.0
11.0
482.0
23.9
2041.5
The property values of vacant parcels are important to consider in
the planning process. There is a need to evaluate the impacts changing
the tax rate of a lot or when a parcel needs to be purchased for a
public need such as land for a new school. The Planner's Database
contains information on vacant parcels including map and lot, property
value, acreage and use code. Sorts can be executed for the criteria of
vacant parcels the Town may desire to purchase.
The Planner's Database contains fields indicating the presence of
wetlands and location within the Scituate Reservoir watershed. This
information could be quickly provided to the Planning Board as part of a
staff report regarding proposals for vacant lots on its agenda.
38
Basic Housing Characteristics
Housing characteristics such as square footage, number of bedrooms
and number of bathrooms can be indicators of confidence in the economy
of a region or the nation. One would also expect that changes in
household size and composition would be reflected in housing
characteristics. For example, it
would be logical to assume that the
'·"'
trend for the formation of smaller
households (3.07 persons per
I
household in 1970 down to 2.7 in
i!
~
1980 from the RI State Guide Plan
Element 121, Land Use 2010) would
S..O...
ltM- H
S.o-6t
Snt-1'
U•-"
or CODTHC'TJOI
IQIAll Pin
HUH
IZZJ
result in a reduction in overall
Figure 7.--Average Building Area
by Decade - Foster, RI
building area and the number of
bedrooms.
The data collected on Foster and data collected nation wide refute
this notion. As Figure 7 indicates building size has been increasing
since the 60s. The increasing house size in Foster is part of an ongoing trend toward the construction of luxury housing.
The increased share for high-end homes for trade-up buyers
is due to, among other things demographic trends (an aging
population), and income trends (a greater inequality in the
distribution of income) (Crist 1989, 11).
In the decade starting in 1970 the median square footage of a single
family home in Foster was 1,640, in the 80s the median increased to
1,730. A nation wide study which sampled over 1 million new singlefamily homes, revealed that the median house size in the 70s was
approximately 1,655 square feet and had increased slightly to 1,660 in
39
80s. The average house size for these same time periods in Foster was
1,577 in the 70s, 1,640 in the 80s. The nation wide averages were,
higher than Foster's, 1,755 (70s) and 1,834 (80s). The difference in
house size between Foster and the rest of the Nation could be attributed
to the tendency to build smaller homes in the Northeast because of the
relatively high cost of heating fuels and the colder climate.
Table 12.--Housing Characteristics by Grade - Foster, RI
Grade ---Square Feet
Total Rooms
Bedrooms
Bathrooms
Building Value
Property Value
6 +
4 + 5
1,738
1.8
3.3
2.4
$182,962
$77,475
1,283
7.0
3.2
1.9
$111,306
$59,668
3
1,110
5.6
2.7
1.4
$70,837
$49,095
1 + 2
803
4.2
1.8
0.9
$30,081
$36,895
Although overall house size has been steadily increasing, the
nation wide trend for the construction of increasing numbers of "highend luxury" homes is not evident in Foster. Table 12 only about 2\ of
the homes in Foster were given a Building Grade of 6 or higher. Homes
with a Building Grade of 6 or greater are considered to be superior to
the typical mass produced homes in that they are constructed with the
very best materials and workmanship and often with some special purpose
features. Twenty-eight percent of the homes had above average Building
Grades, 4 and 5.
These homes were typically constructed prior to 1945
and have good plaster finishes and extensive trim in living spaces.
Homes rated as grade 3, or average, are the standard contemporary
homes, are commonly mass-produced and may be partially or entirely
prefabricated. Average homes will typically use standard windows, doors,
40
plumbing and heating systems. Below average grades, 1 and 2, are
characterized as being constructed of inexpensive, light-weight
materials. Grade 2 homes will have inexpensive doors, windows, and may
have mechanical and plumbing system which may be considered inadequate
by today's standards. A grade 1 home may lack some or all of the
facilities necessary for year-round occupation.
As Table 12 indicates, Building Grade is indicative of more than
just workmanship. This table shows the average square footage, total
rooms, bedrooms, bathrooms, building value and property value for each
grade grouping. With the
exception of the average
26-,-~~~~~~~~~~~~~~~--:;~~~-,
25
2•
23
22
21
20
19
number of bedrooms per
grade grouping, there
appears to be a
substantial difference
;;
..""'
..
lil
0
in the building
19
17
16
15
H
13
12
11
10
+----4
characteristics from one
u
nn or
grade grouping to the
next.
95
C
IATIOI
96
97
99
H
COJS'l'RVCTIOJ
+
FOSTER
Figure 8.--Housing Units with Four or
More Bedrooms - U.S. and Foster, RI
While overall
\
house size in Foster has followed the National trend, the number of
single family homes with four bedrooms or more, has not. Figure 8
illustrates this trend. Nation-wide, there was a dip in the mid-eighties
(24\ down to 18\), and a steady climb, peaking in 1988, with 26\ of
homes having four or more bedrooms. The percent of homes in Foster with
four or more bedrooms ran well below that of the Nation, with the
41
exception of 1985 which was 3 percentage points higher than the National
figure . for that year, at 21\. Apparently, the increase in overall house
size should be attributed to an increase in room size, or to an increase
in the number of rooms, other than bedrooms.
The national trend
for an increasing number
homes with more than two
bathrooms is in evidence
i
~
in Foster. Figure 9
shows the percentage of
homes with more than two
bathrooms in the Nation,
and in Foster. Once
again, the percentages
nu or co15'1'R1CT101
D
IA'!'IOI
+
FOSTER
Figure 9.--Homes With More Than Two Bathrooms
U.S. and Foster, RI
are lower throughout the
range but they are increasing at a rate similar to that of the nation.
Part of the increase in house size mentioned above could be attributed
to the increase in the number of bathrooms in Foster homes.
Energy Use
It has been almost 15 years since the "energy crisis". Little
attention has been paid to home heating methods. The focus has been on
improving insulation and system efficiency. The Project Team felt this
was valuable data to collect. Analysis of the occurrence of heating
systems in residential units, could provide the planner with information
on households affected by problems in the provision of fuel, especially
in winter. For instance, the December 1989 heating fuel shortage's
42
impact on the Town, although in most instances not life threatening,
could be evaluated.
The data field HEAT TYPE that
is included in the Planner's
Database enables the Planner the
opportunity to assess current
methods of heating systems employed
in residential and commercial units.
Oll (U . m)
Oil is the predominant source of
heating in residential dwellings in Figure 10.--Heating Type Percentages
Foster, RI
Town, 83% of all units. The remaining units use wood and coal, natural
gas or electric heat in nearly equal proportions. Not represented in the
data are two residences in Town that use solar power as their primary
heating source. The percentages of residences using the four major
heating types are shown in Figure 10.
The Project Team compiled . totals for residential units in Foster.
Table 13 shows various heating types and the level of use. While the raw
totals represent the start of baseline data, they need to be evaluated
carefully to determine trends within Foster.
A clear picture of what is happening to energy system placement in
homes in Foster must be viewed over time. To identify the trend in the
installation of home energy systems, dwellings were grouped into the
decades they were constructed. The percentage change for each energy
type between decades was calculated and plotted.
This calculation
indicates the difference over the previous decade of the percentage of
new homes that installed each respective heating type.
43
Decade groupings for the
analysis were 1940-1950, 1950-
Table 13.--Residential Heating Types
Foster, RI
# OF
RESIDENCES
HEATING TYPE
1960, 1960-1970, and 1970-1980.
The groupings represent all
residential units built in that
decade. For example, grouping
WOOD OR COAL
OIL
NATURAL GAS
ELECTRIC
1150
72
84
TOTAL
1377
71
1950-1960 represents houses
constructed that have
YEAR BUILT dates in the Planner's Database ranging from 1950-1959.
1940
was chosen as the benchmark year because these homes are still most
likely using the heating systems that were originally installed. Homes
built prior to 1940 have a greater chance that there heating system has
been upgraded. This analysis is general and does not take into account
homes built after 1940 that may have changed heating systems. Table 14
displays the actual totals for heating systems by decade.
Table 14.--Heating Types for New Units by Decade - Foster, RI
DECADE
HEATING TYPE
WOOD OR COAL
OIL
NATURAL GAS
ELECTRIC
1940
12
82
7
3
1950
5
115
6
2
1960
5
119
5
10
1970
10
222
4
28
1980
9
201
24
35
The graph indicates that natural gas is becoming the heating type
of choice in the 1990s. Coal, wood and oil are holding fairly steady.
The use of electricity as a primary heating source peaked around 1960
and has been dropping ever since. Figure 11 shows the trend in the
44
choice of energy sources for new residential units since 1940.
The trend in
choice of energy source
in Town is comparable to
what is happening in the
United States as a
whole. The use of gas
for the primary heating
source is rising, use of
- 1-+-~~~~~~~~~~~~~~~~~~~--<
1950- 15160
1940- 1950
electricity as a primary
heating source is
o
1001>/ COAL
+
OIL
U?D - 1980
1960- 1'70
o
GAS
4
!L!C'!'IIC
Figure 11.--Change in Installed Heating Systems
by Decade - Foster, RI
dropping and other
heating types are remaining stable (Crist 1989).
Mentioned earlier, but not represented in the data is the fact
that two homes in Foster have solar energy as their primary source of
heating. The homes were built in the 1970s and the 1980s. Alternative
heating sources could become more prominent in Town as the technology
becomes more cost effective and as other sources become prohibitively
expensive.
Forecasting Uses
Population Estimate
The small town planner is usually faced with very limited
resources to perform a population census at the local level. Reliance on
the Decennial United States Census for population data often leaves the
Town speculating about its population during the years between
45
enumerations. The Planner's Database can be used to estimate Foster's
population on a yearly basis.
The Project Team developed a population estimation model that
takes into consideration the total number of bedrooms, past population
trends, and the average number of persons per bedroom. The total number
of bedrooms in town can easily be determined using the Planner's
Database. U.S. Census population data can be used to determine the
average number of persons per bedroom. By totalling the number of
bedrooms in Foster and multiplying it by the Town's factor for persons
per bedroom a reasonably accurate population estimate can be made.
Crucial to the accuracy of these projections is the periodic updating of
the Planner's Database.
Figure 12 shows the three projection trends used by the Project
Team. The total number of bedrooms in town since 1940 was derived from
the Planner's Database by totalling the number of bedrooms by year of
construction. The graph shows the population and total number of
bedrooms increasing slowly through 1950, and then increasing at a higher
rate through the 1980s. The number of persons per bedroom increased in
the 40s and 50s, paaking in the early 1960s. This increasing trend
indicates the
effe~:t
constant number of
of the post-war "baby boom" and a relatively
b~drooms
per house.
Since the 1960s the number of
persons per bedroom has been decreasing at a linear rate. This trend is
indicative of two phenomena; smaller family size, and the increasing
trend of the number of bedrooms per house. It may also be an indication
of an increasing number of so-called "empty-nesters"; parents whose
children have moved, resulting in a lower number of persons per bedroom.
46
5
4
PROJECTED
3
POPULATION
TOTAL BEDROOHS
2
POPULATION/TOTAL BEDROOHS
1
1940
1950
1970
1960
1980
YEAR
Figure 12.--Population Estimate by Number of Persons per Bedroom
Foster, RI
The Project Team projected the decreasing linear trend of persons
per bedroom from 1970 to 1980 up to the present. An estimate of the
current population can be derived by multiplying the projected number of
persons per bedroom by the known number of bedrooms in town. Figure 12
shows the Project Team's 1990 population estimate for Foster to be
\
around 4,000 persons.
This procedure can be used for population projections by combining
a buildout analysis' prediction of the future number of bedrooms with
the projected number of persons per bedroom.
47
Frontage Buildout
The buildout analysis is a method of determining how much
development is feasible in a given area based on different zoning
scenarios and combinations of environmental constraints. Every town has
a carrying capacity for development. Theoretically that capacity is
reached when every buildable parcel of land is subdivided so that it
satisfies the minimum zoning requirements and is then built on. It is
possible for towns, such as Foster, with large lot zoning to reach this
theoretical capacity. Though possible, it is not likely because of the
agrarian nature of the Town. Some buildable land can be expected to
remain in farm use or just as open space for its visual quality. The
underlying theory of this analysis is that in the competition between
land uses the one with the highest bid rent will, over time replace the
one with the lower bid rent (Alonzo 1960). Therefore, unless a new crop
is developed that grows well in rocky, acidic soil and brings a higher
return per acre than that of land used for residences, farm land will
continue to be converted for residential use.
Through the use of historical building records (the number of
certificates of occupancy issued for residences per year) it is possible
to estimate when a town will reach its buildout capacity. For instance,
if it is determined that buildout will be reached with the addition of
3,000 housing units and an average of 150 CO's were issued per year in
the last decade we can estimate that it will take approximately 20 years
to reach buildout. Changes in zoning which allow for greater density,
new technology which might allow septic systems to be built in
previously prohibited areas and down turns or, upswings in the housing
48
market will ultimately effect the final buildout numbers as well as the
time it takes to reach capacity.
The ability to predict the amount of development that can occur in
a town is vital for a Town that is attempting the long-range planning of
services. Reliable information regarding the development potential of
the town is essential for the various departments to plan for increases
in service demand. The great expense associated with capital
improvements make it necessary for towns to start budgeting for them
well in advance of the actual need. Knowing the eventual population of
the Town based on the build-out analysis will allow Foster to avoid
making costly incremental decisions regarding capital improvements.
The fields from the database used to complete this initial
buildout analysis include: Map, Lot, Parcel Area, and Frontage. The
frontage of each lot was determined from the Town's plat maps. Only
those parcels with frontage on Town approved roads were considered.
Parcels designated residential, mixed use, vacant, farm, open
space, and other improved were considered for this residential buildout
analysis. Parcels designated as residential and farm were considered to
have at least one structure occupying 4.6 acres of the parcel's total
acreage and 300 feet of its frontage. These parcels will need to have a
\
minimum frontage of six hundred feet and at least 9.2 acres to be
considered in the buildout. Vacant parcels, on the other hand, will be
considered for the buildout if they meet the minimum zoning requirements
- a minimum of 300 feet frontage and a parcel size of at least 4.6
acres.
49
Of the 2,256 parcels in the database 532 parcels met these minimum
criteria. Calculation fields were added to the database in order to
determine the total number of buildable lots. In order to determine the
maximum number of lots that could potentially be subdivided from a
particular parcel, it was first necessary to determine whether the
limiting constraint on the parcel was lot frontage or lot size. The road
frontage of each parcel was divided by 300 (minimum frontage) and the
acreage of the parcel was divided by 4.6 (minimum acreage) the quotients
of these calculations were compared. The smaller of the two represents
the limiting constraint to subdivision. The total number of frontage
lots which satisfy minimum zoning requirements was determined by summing
the smaller of the limiting constraint quotients.
An additional calculation was necessary for the non-vacant parcels
because a structure already occupies part of the larger parcel. One lot
with 4.6 acres and 300 feet of frontage must be subtracted from the
total for each residential parcel.
From the 532 parcels with excess frontage and acreage 1,224
smaller lots were derived. In most cases it was the frontage parameter
that dictated how many subdivision lots could be derived from a parcel.
Table 15 indicates the total number of potential frontage lots available
for development by Map and also indicates the percentages of parcels and
Maps which are developable. This figure represents the total number of
lots that can be legally cut, given the Towns existing zoning, and road
configuration. The actual number of buildable frontage lots will
undoubtedly be smaller due to the placement of existing houses, odd
shaped lots and environmental constraints.
50
Table 15.--Frontage Buildout Worksheet and Totals
MAP#
# OF
PARCELS
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
36
29
29
25
31
28
33
25
13
31
42
22
32
29
23
31
23
32
6
6
3
3
TOTALS
532
BUILDABLE
ACRES
LOTS
78
44
\ OF
PARCEL
\ OF
TOTAL
60
30
15
36\
31'
39\
31'
31'
33\
31'
47\
35\
35\
56\
33\
34'
42\
34\
23\
33\
41\
54\
47'
97\
52\
19\
12\
19\
19\
20\
22\
19\
29\
7\
19\
30\
13\
25\
16\
22\
13\
14\
25\
25\
21'
16\
7\
6120
36\
19\
390
220
355
380
380
325
375
400
155
340
505
255
455
260
265
260
235
410
71
76
76
65
75
80
31
68
101
51
91
52
53
52
47
82
10
12
6
3
so
1224
Backlot Buildout
There are many large lots in Foster that have development
potential, but lack the necessary frontage on a Town road. Large lots
with enough frontage to accommodate a subdivision road must be accounted
'\
for in order to accurately assess the development potential in Town. For
this part of the buildout analysis the Project Team made the assumption
that all parcels exceeding 25 acres, after frontage lots have been
subtracted, have potential for development with the construction of a
road.
For this part of the buildout the database was sorted and all lots
with less than 25 acres were eliminated. This sort yielded 205 parcels
51
which were considered for further backlot subdivision. A sampling of
these lots was conducted to determine the extent to which environmental
constraints would inhibit development. A constraints map developed by
Everett Associates for the Town of Foster was used in conjunction with
the Plat Maps. Wetlands, large areas of poor soil, bedrock outcrops, and
steep slopes were all considered in this sample. Forty eight lots (20\
of 205) were examined. It was found that approximately half of the
acreage associated with these backlots was unsuitable for development. A
50\ discounting of all parcel acreage was done based on the sample.
All parcels were examined on the plat maps to determine whether
lot configuration or location of wetlands on a lot might further
constrain residential development. Certain parcels meet the acreage
requirement, but are configured in such a way that it would be
impossible to subdivide them into lots that the Town is likely to
approve. In addition, parcels which had wetlands or large water bodies
forming barriers between the frontage and the back acreage, were further
discounted.
A more accurate assessment of the environmental constraints to
development can be conducted using the Planner's Database. As the
Planner's Database becomes more sophisticated due to the availability of
more detailed lot-specific soil and wetland data, a more accurate
assessment of environmental constraints to development can be conducted.
From the 205 parcels with acreage in excess of 25 acres
approximately 1,067 lots could be subdivided. Table 16 shows the number
of back lots available for development by Map and also indicates the
percentage of parcels and Maps which are developable. Many of the lots
52
Table 16.--Backlot Buildout Worksheet and Totals
MAP#
1
2
3
4
s
6
7
8
9
10
11
12
13
14
lS
16
17
18
19
20
21
22
TOTALS
PARCELS
13
18
13
12
17
7
14
9
8
12
7
13
10
8
s
18
7
13
0
l
0
0
20S
BUILDABLE
ACRES
LOTS
S4
68
37
72
116
48
67
SS
49
63
20
S7
61
24
24
108
S2
S7
0
4
0
0
1036
\ OF
PARCEL
\ OF
TOTAL
270
340
18S
360
S80
240
33S
27S
24S
31S
100
28S
30S
120
120
S40
260
28S
0
20
0
0
41\
41\
31\
43\
SO\
36\
39\
66\
SO\
46%
44%
42%
37%
3S\
23%
39%
4S\
36%
0%
24%
0%
0%
13\
19\
10\
18\
31\
16\
17\
20%
11%
18%
6%
14%
17%
7%
10%
27%
16%
17%
0%
7%
0%
0%
Sl80
41%
16%
in this total are clustered in groups of two or three. Constructing
roads to access lots in groups of two or three may prove unprofitable
for most developers depending on how flexible the Town is with regard to
enforcement of its road standard. Based on the number of new Town roads
that have been built to accommodate back lot subdivisions it is likely
that many of these lots will remain undeveloped. However, as frontage
lots become scarce, the cost of raw land may increase to a point where
developers find that the development of back lots will bring a favorable
return, even with the construction of costly roads.
In order to estimate when the Town will reach buildout, it will be
necessary to determine how many lots might be developed in future years
S3
based on historical building trends. An average of 28 units a year have
been built in Foster since 1980. Because this average reflects the
slumping economy of the early eighties and the boom of middle eighties
it should cover the spectrum of possible development scenarios. Frontage
lot buildout, 1,224 lots, will be reached in approximately 44 years, or
by the year 2034 if, 28 lots are developed each year. Total buildout,
2,291 lots, could be reached in 81 years at the present rate.
Frontage Buildout Population Estimate
Table 17 shows Foster's possible future population in five year
increments, based on the buildout estimates and R.I. Division of
Planning's persons per household projection.
at frontage buildout in the year 2034,
The projected population
will be 6,748. The projected
population at final buildout in the year 2071 could reach 9,311.
Table 17.--Population Estimate Based Upon Frontage Lot Buildout
Year
'\
1990
1995
2000
2005
2010
2015
2020
2025
2030
2035
1
Persons/
Household
New
Units
Pop.
Increase
Total
Pop.
2.48
2.43
2.38
2.32
2.32
2.32
2.32
2.32
2.32
140
140
140
140
140
140
140
140
140
347
340
333
324
324
324
324
324
324
3996
4343
4683
5016
5340
5664
5988
6312
6636
6960
4901 1
R. I. Dept of Administration Planning Division Estimate
Many variables will effect the development of a Town and its
eventual population. Household size one variable which could have a
substantial effect on the buildout population. Household size has been
54
dropping since before 1960.
While the eventual number of units at
buildout may stay the same, the population occupying those units will
not remain static. In 1960, Rhode Island's household size was 3.20 and
there were 31 units per 100 people, in 1980 household size was 2.70 and
there were 37 housing units per 100 people. If the trend of decreasing
household size continues, as expected there will be 2.32 people per
household and 43 housing units per 100 people. Demand for housing will
be greater because of the greater number of units needed per 100 people
as a result of smaller household size. Ultimately the time it takes to
reach buildout could be shortened by this increased demand.
Another factor, which would tend to increase the time to buildout
is the tendency for there to be a declining rate of growth at the upper
level of the buildout capacity. The shortage of buildable lots in Town
may force people to look elsewhere for housing there by reducing the
number of lots which will be developed in a year. Additionally, land
which is left undeveloped in the upper reaches of the buildout period
will be the least desirable land which probably had been previously
overlooked because other development opportunities existed.
Fiscal Implications of Buildout
As the population of the Town increases the demand for services
will also increase, as will the expense of providing these services.
Increased revenues generated by new residents in the form of property
taxes, do not usually keep pace with the increased expense of providing
schools, libraries, fire, police, road maintenance and recreation for
new residents. Federal assistance cut-backs and State mandated tax
restrictions have further hindered the municipalities ability to raise
55
needed revenue. Having a clear picture of the possible future demand on
services will enable the Town to investigate mechanisms which could
lessen the disparity between service demand and available revenues.
The buildout analysis used in conjunction with the Planners Data
Base can provide the Town with glimpse of the type of service demand
increase to expect in the coming years and can give an indication of the
Town's ability to meet those demands given the current tax structure.
To estimate the revenue generated by new development we would
first look at the number of new homes that would be added to the tax
roll by a given year. The number of new units multiplied by the median
assessed valuation of homes in the town, times the tax rate ($30/1000 at
50% valuation) would total the amount of revenue generated from new
homes.
The Town can also expect an increase in revenue from the taxation
of tangible items and motor vehicles. For every dollar of revenue
generated in real property taxes about $.20 in additional revenue from
the taxation of these other taxable items, will be gained.
Assuming the 1,224 frontage lots identified in the initial
buildout are in fact cut and have single family homes built on them,
approximately 1.5 million dollars in additional property taxes and
$300,000 in taxes from tangibles and motor vehicles would be generated
in a year.
Funds to support the educational system typically comprise the
largest part of a Towns budget. The number of students attending public
schools has a direct relationship to the school budget. Table 18 shows
that by applying a student per housing unit multiplier to the figures
56
generated in the buildout a fairly accurate estimate of the school
population can be made.
Two bedroom, three and four bedroom units have multipliers of
0.246, 1.131, and 2.068 respectively. Of the 313 single family homes
built in Foster since 1980, approximately 26\ have had two bedrooms, 60\
have three bedrooms, and 8\ have had four bedrooms. These same
percentages will be used in estimating how many bedrooms will be found
in the 1,224 units to be built on frontage lots.
Table 18.--Predicted Number of Additional School-Age Children
(Based Upon Frontage Buildout)
# of
'
Of Lots
28\ 2 BR
63\ 3 BR
9\ 4 BR
100\
* Multiplier 1
= School
age
Children
Units
343
771
110
0.246
1.131
2.068
*
*
*
1224
=
=
-
84
872
228
- 1184
1 Source: Burchell 1985
The Town will have to plan on accommodating close to 600
additional students in its elementary school. Currently the cost of
supporting a student in the Foster school system is $3,241. At current
funding levels the Town will have to raise $1.9 million dollars to
support the additional students. However, it is unlikely that the
current system would be adequate to support 600 additional students.
Additional classrooms and staff would be necessary so funding levels
would have to be increased.
The $1.8 millon dollars in additional revenue generated by new
residents will clearly not cover the cost of providing basic services.
57
This is one example of a fiscal impact generated by residential growth,
there are a whole host of other impacts both direct and indirect which
the Town must plan for. Through the manipulation of data in the
Planner's Database these impacts can be identified.
Scenario Building
Analyzing the Effects of Proposed Legislation
The Planner's Database can be used to quickly estimate the effects
of zoning changes or proposed overlay districts, such as the one
proposed in the Draft Scituate Reservoir Management Plan (1989). The
draft plan calls for the
Table 19 . --Vacant Commercial and
Industrial Land in the Scituate Reservoir
Watershed
prohibition of all new
commercial and industrial
MAP LOT
3
10
10
10
10
10
10
10
10
14
14
14
11
43
43
43
43
43
43
43
43
3
96
117
TOTALS:
Source:
SUBLOT
A
A
B
c
D
E
F
G
H
A
A
PROPERTY
VALUE
($1000)
153 . 5
51.2
50.5
50.5
50.2
50.5
50.5
50.5
50.2
50.5
52.9
50.9
712.2
USE ACRES
CODE
uses in the Scituate
Reservoir Watershed. The
14
14
14
14
14
14
14
14
14
14
14
14
25.6
2.1
2.0
2.0
2.0
2.0
2.0
2.0
1.8
2.0
1.0
1.0
45.5
Foster Tax Assessor Records
USGS Topographic Maps
database can be used to
derive a quick approximation
that estimates the effect
this proposed legislation
might have on the town's tax
base.
Using PC-File's report
generating feature, it is
possible to output a list of
all commercial/vacant land
that is within the Scituate Reservoir Watershed. The report includes the
parcel size and land value as shown in Table 19. There are twelve vacant
58
parcels of land in the Scituate Reservoir Watershed that are currently
classified as commercial or industrial vacant land. The total area of
the twelve parcels is 45.5 acres. The total assessed value of these
parcels is over $712,000.
Assuming all new commercial and industrial uses are prohibited,
the only other use left is residential. Vacant commercial and industrial
land is assessed at a higher value than corresponding residential land.
The assessed value of commercial and industrial land in the Scituate
Watershed would fall accordingly.
We can estimate the difference in assessed value (and therefor tax
revenues) by comparing the average assessed value of vacant commercial/
industrial land and the average assessed value of vacant residential
land. Table 20 shows the average values per acre as determined by the
Project Team using the Planner's Database.
Table 20.--Vacant Land Value in the Scituate Reservoir Watershed
Vacant Commercial/
Industrial Land
Property Value
$712,200
$25,101,000
45.5
10,564
$15,652
$2,376
Acres
Average Value/Acre
Source:
Vacant Residential
Land
Foster Tax Assessor
The 45.5 total acres of vacant commercial/industrial land in the
Scituate Reservoir Watershed has a current property value of $712,200.
If this same land was assessed as vacant residential land it would have
59
a property value of only $108,108 (45.5 acres• 2,376 dollars/acre
vacant residential land) a $604,000 decrease. At the current tax rate of
approximately $30 per thousand at 50\ valuation, the town would stand to
lose nearly $18,000 per year in tax revenue.
Another source of tax revenue loss can be found in the Watershed
Management Plan's recommendation that would require the disallowing of
all substandard lots of record. A substandard lot of record is a parcel
which does not meet the minimum lot standards of current zoning
regulations, but is considered buildable since the creation of the lot
predates the zoning regulation. There are currently sixty-eight
substandard lots of record totaling 117 acres in the Scituate Reservoir
Watershed. These substandard lots have a current taxable value of over
1.25 million dollars.
Substandard lots of record in the watershed were identified by
using PC-File's report generating capability. Records were selected for
output based upon the following criteria; the acreage data field is less
than 4.6, the use code field was equal to 13, and the watershed field
code was equal to 1. In this fashion, only lots that are smaller than
the minimum building size (less than 4.6 acres), that are currently
residential vacant land (use code 13), and are within the Scituate
Reservoir Watershed (watershed code equals 1) were selected.
The substandard lots of record actually have a higher average per
acre value than standard residential vacant land. This can be explained
by the fact that every lot is taxed higher for the first buildable lot
and at a lower rate for excess land. By definition, substandard lots of
record have no excess land so each small parcel is rated quite high.
60
Table 21.--The Average Value of Substandard Lots of Record vs.
Unbuildable Land in the Scituate Reservoir Watershed
Substandard Lots
of Record
Property Value
$1,256,000
$175,500
117
117
$10,752
$1,500
Acres
Average Value/Acre
Source:
Unbuildable
Land
Foster Tax Assessor
Table 21 shows the resulting loss of value when substandard lots of
record are taxed as non-buildable lots. The loss of over one million
dollars of market value results in an additional tax revenue loss of
over $15,000 per year.
These are just two of the possible sources of tax revenue loss to
the town that might be attributed to the implementation of the Scituate
Reservoir Management Plan. While the Project Team does not necessarily
believe that the Reservoir Management Plan is either good or bad, it is
important to be aware of the potential side effects of proposed
legislation. The Planner's Database provides one quick and easy way to
evaluate the effects of such plans.
Identification of Land for Acquisition
The planner is often faced with the task of identifying potential
sites for acquisition. The Planner's Database permits easy
identification of parcels meeting specific selection criteria. The
criteria identifying land for acquisition for Town purposes such as
recreation, schools and conservation, can come from many different
sources. After compiling the information the planner can query the
61
database for the specific conditions. Concerns of effect on tax base,
environment, zoning and location can all be addressed.
The following simple example is a hypothetical application of the
Planner's Database in identifying land for acquisition. The Town is
looking for a parcel of land for a new school and recreational complex.
The requirements for the site are:
•
•
•
•
Between 3S and SS acres in size
Road frontage greater than lSOO feet
Some wetlands present on site
Land that is presently vacant
The planning objective is to locate a parcel for a school/recreational
complex that is of adequate size to accommodate baseball and soccer
fields, a school building and associated parking, and the potential
construction of a natural educational trail system.
The question that is asked of the database is - How many vacant
parcels in town are between 3S and SS acres, potentially have wetlands
and have a road frontage greater than lSOO feet? Using the PC-File
report function this can be accomplished. By performing a complex search
that satisfies the above requirements a report can be generated listing
the lots. The search would be (ACRES# >= "3S" & ACRES <= "SS" ) &
(USE_CODE# = "13"1 USE_CODE# = "lS"I USE_COOE#
= "33")
& (WETLANDS •
"1") & (FRONTAGE>= "lSOO). The use codes indicate parcels that are
presently vacant.
When setting up the report format, information regarding the
property value and current zoning of each parcel meeting the criteria
can be printed. Generating a "short-list" makes the selection process
easier. The final decision would have to be made evaluating each of the
62
parcels spatially on the town maps and by field inspection. Table 22
presents the results of this hypothetical search.
Table 22.--Vacant Land Purchase Scenario
MAP
3
3
4
8
11
LOT
3
58
68
49
89
PROP
VALUE
ACRES
75.3
66.4
68 . 0
51.1
73.0
47.5
37.7
36.S
36.0
so.a
USE
CODE
ZONE
13
13
13
15
13
1
1
1
1
l
ROAD WETLAND
FRONT.
2256
3159
1584
2000
2900
1
1
1
1
1
Five parcels satisfied the site selection criteria. This is the
baseline data for the decision. Evaluation of each site's location,
property value, zoning and frontage would lead to a final decision. This
listing is only an example, additional reports with varying requirements
could also be generated to weigh other alternatives.
Archiving Summary Statistics
Periodically saving the database to a disk as a permanent record
of the Town's current land-use condition will provide the Planner an
opportunity to perform detailed trend analyses. The permanent record
will act as an archive of the Town's present condition.
Each of the land use codes can be segregated by plat map to
summarize the type, amount and location of the various land uses in
Town. By saving the database periodically, it will be possible to
identify trends and potential problems. The following tables provide an
example of just a few of the categories that can be analyzed in this
fashion. For this example the different land-uses were categorized for
each map by area, frontage and number of parcels.
63
The flexibility of the Planner's Database will allow the planner
the option of analyzing any of the collected data fields over time. As
different needs and situations arise, specific data sununaries could be
generated using the archived disk.
This breakdown of information provides the planner with
information regarding the number of each type of residential unit by
map. Table 23 shows the results of the sort for USE CODE 1, indicating
total acreage, frontage and number of parcels by map and Town totals.
This information is useful if the planner needs to determine the
distribution of single family housing units in Town. The number of
parcels in a map could be plotted on a full size representation of
Foster that indicates map boundaries. Average road frontage of single
family residences in map 9 could be calculated. This would be
accomplished by dividing frontage (19,904) by the number of parcels (45)
which yields an average frontage of approximately 442 feet.
Following Table 23 are tables that describe the same conditions
and details for each specific use code in Town. This illustrates the
high level of detail available with the Planner's Database.
64
Table 23.--Single-Family Residences by Map
Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
1,105.4
1,408.8
746.6
1,083.6
636.9
563.6
1,323.9
509.9
785.0
506.8
1,053.8
706.8
675.7
919.9
473.8
987.1
731.6
818.7
168.9
131.9
103.5
141.9
46,713
36,022
26,222
34,223
32,292
24,935
49' 727
27,692
19,904
25,789
64,636
29,346
19,788
49,778
16,431
35,193
34,219
29,254
13,241
10,134
13,160
10,875
72
73
53
68
54
46
74
62
45
52
110
56
53
108
28
83
97
38
41
33
29
38
TOTALS
15,584.1
649,574
1,313
65
Table 24.--Two-Family Units by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
so.a
4
6
8
9
10
11
12
14
15
16
20
21
22
5.3
13.0
71.6
66.3
19.0
9.0
23.0
35.0
5.7
3.4
3.8
0.5
1,800
321
350
355
2,614
1,043
650
228
2,400
288
110
620
160
1
1
1
1
3
1
1
1
1
1
1
1
1
TOTALS
305.6
10,939
15
Table 25.--Multi-Family Units by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
11
14
17
26.9
4.6
0.6
700
250
1
1
1
TOTALS
32.1
950
3
66
Table 26.--Mixed Residential Units - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
3
13
14
15
20
22
3.9
23.1
7.5
10.0
0.2
0.8
400
1,330
988
220
540
300
1
1
2
1
1
1
TOTALS
45.5
3,778
7
Table 27.--Residential Farms by Map - Foster, RI
'\
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
3
4
7
8
11
14
18
37.0
162.0
65.0
142.8
22.1
119.9
145.0
206
3,692
1,300
4,400
60
948
4,400
1
4
1
1
1
2
2
TOTALS
693.8
15,006
12
67
Table 28.--seasonal Residential Units - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
2
4
5
6
8
13
16
10.0
120.0
273.0
22.8
20.8
51. 7
. 3 .1
302
3,150
2,560
2,160
324
2,079
190
1
2
3
1
1
1
1
TOTALS
501.4
10,765
10
Table 29.--Conunercial Properties Less Than $100,000
Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
10
12
13
14
17
21
2.2
32.0
6.1
7.5
33.3
3.4
157
1,550
330
578
1,175
1,270
2
1
2
1
2
2
TOTALS
84.5
5,060
10
68
Table 30.--Comrnercial Properties Greater Than $100,000
Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
1
4
5
8
10
11
12
13
14
16
17
18
20
21
1.6
60
81.6
14
108.2
34.1
34.6
5.4
35.1
3.7
46.6
12
0.3
15.9
0
4250
2700
1700
9887
530
4255
1147
2453
335
1940
480
80
300
1
2
1
1
15
3
2
2
4
1
2
1
1
3
TOTALS
453.1
30,057
39
Table 31.--Total Industrial Properties - Foster, RI
\
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
14
17
17.0
39.3
500
3350
1
2
TOTALS
56.3
3,850
3
69
Table 32.--cemeteries by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
20
22
8.2
1. 7
0
0
3
1
TOTALS
9.9
0
4
Table 33.--Charitable Property by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
2
3
6
22
0.3
110.5
5.0
13.0
20
4950
0
1500
1
3
1
1
TOTALS
128.8
6470
6
Table 34.--Church Property by Map - Foster, RI
'
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
1
2
7
12
13
14
19
20
22
0.1
0.2
23
1
2.8
36.5
1.5
0.5
0.3
150
80
1400
0
490
1765
245
211
110
1
1
1
1
1
4
1
1
1
TOTALS
65.9
4451
12
70
Table 35.--Library Property by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
l
1.0
20
0.3
100
160
l
l
TOTALS
1.3
260
2
Table 36.--Town Property by Map - Foster, RI
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
2
6
7
12
14
18
20
22
8.3
9.0
20.0
0.3
0.1
0.5
8.0
19.5
0.3
640
380
0
100
86
177
0
979
40
2
2
TOTALS
66.0
2402
MAP
l
71
l
l
l
l
l
4
l
14
Table 37.--State Property by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
2
4
14
16
17
19
1.5
5.0
18.2
1.0
66.0
6.0
240
390
1262
525
2885
320
1
1
1
1
4
1
TOTALS
97.7
5622
9
Table 38.--Utility Property by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
3
6
9
12
15
17
18
19
21
22
68.1
126.9
1185 . 7
742.1
106.3
68.5
26.3
12.2
23.9
8.9
777
1583
6650
11350
2175
0
0
488
525
520
4
7
5
6
9
7
5
1
1
3
TOTALS
2,368.9
24,068
48
72
Table 39.--other Improved Land by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
1
3
4
5
6
8
10
11
12
15
16
8.0
90.0
1.0
52.4
95.0
72.3
115.0
6.4
76.0
7.1
6.4
1030
2780
208
1900
3053
2200
1000
1225
2036
1090
731
2
1
1
2
2
2
1
1
3
1
1
TOTALS
529.6
17,253.0
17.0
73
Table 40.--Vacant Residential Land by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
945.0
375.4
578.9
291.8
798.5
560.3
394.7
547.0
282.9
851.9
496.6
357.3
1023.1
363.2
556.1
788.9
631.6
608.1
9.7
72.7
31.0
44.3
16244
8284
16603
5269
15264
9151
10422
15311
5874
17367
21295
10578
22830
12347
10861
12604
13928
14840
1939
4898
2379
2740
51
20
33
18
25
29
22
26
13
38
31
23
43
23
23
30
34
30
4
10
3
7
TOTALS
10,608.9
251,028
536
Table 41.--Farm, Forest and Open Space Land by Map
Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
3
4
12
16
73.0
43.8
19.0
140.0
0
2720
850
3800
1
2
1
1
TOTALS
275.8
7,370
5
74
Table 42.--Vacant Commercial/Industrial Land by Map
Foster, RI
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
6
9
10
12
14
21
25.6
71.0
1180.0
70.6
741.0
4.0
23.9
537
1200
6650
4399
11350
869
525
1
3
2
11
5
3
1
TOTALS
2,116.1
25,530
26
MAP
1
Table 43.--0ther Vacant Land by Map - Foster, RI
MAP
AREA
(ACRES)
FRONTAGE
(FEET)
# OF
PARCELS
2
3
4
5
6
7
8
9
10
13
14
15
16
17
18
20
21
22
16.0
122.9
134.0
17.5
87.0
146.7
40.0
4.7
69.5
36.0
82.2
32.4
19.5
9.0
11.2
46.0
1.5
3.0
680
420
1800
1500
2726
1605
2400
237
0
0
1001
215
400
0
0
515
771
475
1
7
4
1
9
8
2
1
8
4
5
3
3
1
2
2
1
1
TOTALS
879.1
14,745
63
75
C B A P T E R.
P I V E
R. E C 0 M M E If D A T I 0 If S
Additional Data Fields
An advantage to using a magnetic database (softcopy) is that
updating and changing is very easy. The Planner's Database has the
ability to change as the Town does. The addition of new data fields and
modifications to others can be made. The remainder of this section is
devoted to new data fields that could be collected and entered. The
Project Team identified several other fields that should be considered.
Soil Type
The knowledge of the major soil types of a parcel is of great
importance to the planning process. The Soil Survey of Rhode Island is a
good source of this type of information. The manual is published by the
United States Department of Agriculture Soil Conservation Service. Soils
are grouped, named and given a three letter code in the manual based on
their physical characteristics and properties. The soil type code could
be added to the Planner's Database.
'\
Examples of the three digit code include SuB, ChB and WoB. SuB is
in the Sutton group, ChB is in the Charlton group and WoB is a
Woodbridge soil. The manual contains information on all the soil groups
suitability for septic systems, woodland use, agricultural uses,
susceptibility to frost action and limitations to construction.
76
This field is extremely valuable when assessing zoning and
subdivision proposals. Consideration can be given to the physical
properties of the soil and the construction that is proposed within it.
Similar to the wetlands field, the major soil type of a parcel can be
used for general planning purposes and is not intended to replace on
site scientific investigation.
Collection of the data for this field can be accomplished by
overlaying the maps in the soil manual over the Town maps and coding
each parcel. High intensity site specific soil information that exists
for parcels or is required for subdivision approval could also be
incorporated to improve the accuracy.
Steep Slopes
The knowledge of where steep slopes are located in Foster is
critically important to the land development process. When steep slopes
are stripped of their vegetation the potential for erosion is increased.
Soil erosion can have negative impacts on the quality of wetlands and
drinking water.
Soil erosion can be mitigated through the use of preventative
techniques including siltation fences, hay bales, grassed swales, and
settling ponds during the construction phase. Recognizing parcels with
steep slopes during the approval process insures that proper soil
erosion prevention measures can be taken as well as the timely revegetation of disturbed slopes.
The information on steep slopes is available on a map that was
produced by Everett Associates for the Town's 1982 Comprehensive Plan or
the four United States Geological Survey (USGS) Quadrangles that cover
77
Foster. The same method used to code the soil data could be employed.
Aquifers
Since the Town relies on groundwater for its drinking water
supply, protection of the aquifers is very important. Knowledge of a
parcels location in relation to an aquifer is essential in evaluating
development proposals. Certain uses within these areas should be
regulated or prohibited. For example, nutrient loading calculations for
individual sewage systems should be conducted when proposed over an
aquifer to determine the impact on water quality.
Again the overlay approach can be engaged to determine which
aquifer the parcels are located over. The source of the aquifer
information would be the USGS Groundwater Maps that correspond to the
quadrangle sheets that cover Foster.
Related to aquifer and groundwater protection, data fields that
indicate if underground storage tanks, like service stations have,
injection wells or other potential contamination sources exist on the
site could be entered. The Rhode Island Department of Environmental
Management (DEM) and United States Environmental Protection Agency (EPA)
are potential sources of this information.
Endangered Species
The information for this potential data field is not distributed
on a parcel specific basis. The reason for this is because many people
want to have the "last one" of an endangered species. The Rhode Island
DEM can provide information on the general areas where endangered
species may be located. This field could be entered as either a yes or
no. Yes (1) meaning that an endangered species exists in the area. This
78
could be cross referenced with the information from DEM to determining
the endangered species, and proper action can be taken.
General Suggestions
The number of fields collected is only limited by the imagination
of the user of the Planner's Database and financial constraints. Other
suggestions include number of children per household, types of business
for commercial lots, distance from fire stations, agricultural uses and
many others. As time goes on, so does the data required for the planning
process, if the Planner's Database is properly maintained,it can stand
the test of time.
Compatibility with Other Systeas
Probably the most exciting and controversial planning tool
available to the Planner as we enter the nineties is the advent of
Geographical Information Systems, or as it is commonly referee to, GIS.
A GIS system is computer based technology that allows the planner to
store, manipulate, and analyze large volumes of spatial data (Marble et
al 1984). The spatial component of the Planner's Database is achieved by
cross reference with Foster Town maps. A GIS combines these two
elements.
The Rhode Island Environmental Data Center (EDC) is a cooperative
effort between the Rhode Island DEM and the University of Rhode Island
Department of Natural Resources Sciences. The purpose of the project is
to develop a statewide GIS. Data that is currently being entered for the
State includes soils, hydrology, geology, roads and political boundaries
(URI 1988). Collection of data for the additional fields
79
Table 44.--Components of a GIS
1.
A data input system which collects and/or processes spatial data
derived from existing maps, aerial photos, etc.
2.
A data storage and retrieval subsystem which organizes the spatial
data in a form that permits it to be quickly retrieved by the user
for subsequent analysis, as well as permitting rapid and accurate
updates and corrections to be made to the spatial database.
3.
A data manipulation system and analysis subsystem that performs a
variety of tasks such as changing the form of the data through
user defined aggregation rules or producing estimates of
parameters and constraints for various space-time optimization or
simulation models.
4.
A data reporting subsystem which is capable of displaying all or
part of the original database as well as manipulated data and the
output from spatial models in tabular or map form. The creation of
these map displays involves what is called digital or computer
cartography. This is an area which represents a considerable
conceptual extension of traditional cartographic approaches as
well as a substantial change in the tools utilized in creating the
cartographic displays.
Source:
"Geographic Information Systems: An overview"
by Dr. Duane F. Marble
mentioned in the above section could potentially be generated by the EDC
and incorporated into the Planner's Database.
Another advantage of the Planner's Database, and an incentive to
keep the database updated, is the future compatibility with the Rhode
Island GIS (RIGIS). When the Town is prepared to make a major investment
into RIGIS compatible software and hardware, the Planner's Database will
be able to provide a ready source of input data. PC-File has the ability
to output into a RIGIS readable format.
80
Bquipaant Purchase
As discussed in Chapter Two, the Planner's Database and PC-File
are currently compatible with the Town's existing computer systems.
However, in order for the planning staff to take full advantage of the
database's capabilities it is recommended that the Town invest in a
computer system for the Planning Department. The computer system
selected should be compatible with existing Town eyatema as well as
adaptable to future potential needs.
The Project Team recommends the purchase of an IBM compatible
80286 or 80386 microprocessor with a math co-processor. Either of these
systems will provide the speed and dependability necessary to run the
PC-File baaed Planner's Database. It is also recommended that for future
compatibility with GIS the Town invest in a high resolution color
monitor such as the NEC 3D Multiaync with a VGA graphics card.
Conclusion•
The Planner's Database is just one tool to be used in preparing
Foster for the twenty-first century. Planning for future growth is
essential for preserving the rural character and high quality of life
currently enjoyed by the residents of Foster.
The Planner's Database is cost effective and easy to operate. A
new user will need to invest only a minimal amount of time learning the
system. The database is easily updated and is forward compatible with
new technologies and systems_. By properly managing the database, the
Town will be able to enjoy a planning asset with nominal investment in
time and money.
81
The applications demonstrated in this project are only an example
of the many capabilities of the Planner's Database. Since there are no
menu-driven formats, the user is not limited to pre-determined
inflexible methods of analysis. Only future planning needs and
situations will dictate how the database is utilized.
The Planner's Database is easily expanded with additional data
fields. Some fields have been recommended by the Project Team for
inclusion, others will be determined by the Town's future needs. In this
way the database can continue to grow as a useful planning tool for the
management of environmental, fiscal, and social needs.
82
R E F E R E N C B S
Alonso, William. 1983. A Theory of the Urban Land Market. Readings in
Urban Analysis: Perspectives on Urban Form and Structure, ed.
Robert w. Lake. New Brunswick, NJ: Center for Urban Policy
Research: 1-10.
Burchell, Robert w., Listokin, David. and William R. Dolphin. 1985. The
New Practitioner's Guide to Fiscal Impact. New Brunswick, New
Jersey: Center for Urban Policy Research.
Chapin, Stuart F., Jr. and E.J. Kaiser. 1985. Urban Land Use Planning.
Urbana: University of Illinois Press.
CPAD. 1989. The Hidden River. Kingston, RI: The University of Rhode
Island Graduate Curriculum in Community Planning.
Everett, Michael. 1982. Foster, Rhode Island: Comprehensive Plan.
Providence, RI: Everett Associates.
Kops, Daniel w., Hall, Lawrence Jr., Goetze, Rolf and Geraldo Canto.
1986. Managing Municipal Information Needs Using Microcomputers.
PAS Report No. 393. Chicago: American Planning Association.
Marble, Duane, F. 1984. Geographic Information Systems Overview. PECORA
9 Proceedings Spatial Information Technologies for Remote Sensing
Today and Tomorrow . October 2-4, Sioux Falls, South Dakota: 1824.
Meyerson, Martin. 1956. Building the Middle-range Bridge for
Comprehensive Planning. Journal of the American Institute of
Planners. 22:2 (Spring): 58-64.
MMC Inc. 1989. Foster, RI, Fiscal Year 1989, Residential Manual.
Chelmsford, MA.
Rhode Island Historical Preservation Commission. 1982. Foster, Rhode
Island. Statewide Historical Preservation Report P-F-1. (June).
Providence, RI: Rhode Island Historical Preservation Commission.
Smith, Kurth. 1990. Personal interview with the Town of Foster's plat
map draftsman by the authors.
United States Department of Agriculture Soil Conservation Service. 1981.
Soil Survey of Rhode Island.
University of Rhode Island. 1988. 1988-89 Bulletin of The University of
Rhode Island Graduate School. Kingston, RI.
Winsor Associates. 1990. Housing Study for the City of Providence.
Providence, RI.
A P P !: M D I
T B !:
P L A M M !: R ' 8
%
A
DATABASE
Map
Lot
CEM
1
IA
IB
IC
2
2A
2A
3
3
4
5
6
6A
7
8
SA
9
10
IOA
11
llA
llB
llC
110
llE
llF
110
llH
12
12A
12B
14
15
ISA
16
17
17A
18
19
Bldg.
Value
Land
Value
Acres
0.0
0.0
0.0
0.0
0.0
0.0
38.9
67 .9
99 .7
0.0
96 .0
118.3
76 .1
0.0
4.8
52 .8
81.5
132.9
82 .5
0.0
123.8
113 .1
224.7
95.4
94.1
0.0
94.4
0.0
80.1
99 .9
63.7
59 .7
54.7
72.6
5.0
0.0
0.0
0.0
0.0
276.1
0.0
9 .5
7.2
7.8
8.2
47.4
0.0
53.4
50.1
0.0
53.4
65 .9
52.6
15 .8
40.1
56 .9
60.6
54.9
75 .6
44.8
61.0
64 .3
71 .0
54 .2
67 .5
46 .8
55 .0
54 .9
61.1
52.6
52.1
53 .8
44.7
60.0
60.0
26 .7
7.5
15.0
11.3
80.5
0.0
3.1
1.0
1.4
2.1
6.9
0.0
5 .5
4.3
0.0
8.0
15 .6
5 .0
1.3
2.0
8.6
14.0
6.6
33 .8
5.1
10.9
6.1
32.8
6.0
16.8
6.5
6.6
12.2
10.9
5 .0
4.5
5.8
3.0
10.0
10.0
24.0
5.0
10.0
7.5
52 .0
Land
Zoning
Use
70
13
13
13
13
13
5
I
1
1
1
1
1
13
12
1
1
1
1
13
1
1
1
1
1
13
1
13
1
1
1
1
1
1
1
13
13
13
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg .
Grade
2
3
3
3
3
4
3
3
4
4
3
4
3
5
4
4
4
3
4
3
3
2
3
5
#of
Stories
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
1.0
1.0
1.5
1.5
1.0
0.0
0.0
2.0
2.0
2.0
1.0
0.0
2.0
1.0
2.0
2.0
2.0
0.0
1.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
1.5
Occupancy
Heat
Type
#of
Beds
1
1
1
1
1
1
1
2
2
2
2
2
2
2
0
4
3
2
4
3
1
1
1
1
1
2
2
2
2
3
2
3
3
1
1
1
1
1
2
2
2
2
2
3
3
5
3
3
1
2
3
1
1
1
1
1
1
2
2
2
2
3
2
2
3
3
2
2
3
1
2
85
5
#of
Baths
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
1.0
2.0
2.0
2.0
0.0
0.0
1.0
1.0
2.0
2.0
0.0
2.0
2.5
2.5
2.5
2.0
0.0
2.0
0.0
2.0
1.5
1.0
1.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
3.0
Total
Rooms
Year
Built
0
8
6
4
8
7
5
1968
1952
1967
1966
1890
1720
1960
6
5
7
8
1987
1985
1986
1811
6
7
11
7
7
1989
1986
1986
1986
1988
6
1987
5
5
5
1988
1979
1978
1979
1970
1968
4
5
5
11
1850
lat
Floor
0.0
0.0
0.0
0.0
0.0
0.0
1.4
1.3
1.4
0.7
1.4
1.4
1.3
0.0
0.0
1.1
0.8
1.0
1.8
0.0
1.6
1.2
2.1
0.8
0.9
0.0
1.3
0.0
1.3
0.8
1.0
0.9
1.1
1.1
0.0
0.0
0.0
0.0
0.0
2.1
Frontage
350
600
450
3780
880
1500
400
728
50
600
1124
1175
347
325
718
325
355
325
325
347
350
954
340
1080
200
934
100
2180
Wetlands
Watershed
Map
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Lot
19A
20
21
23
23
23A
24
25
25A
26
27
28
30
31
32
33
34
35
36
37
37A
37B
38
38A
39
40
41
41D
41E
41G
41H
411
411
42
43
43A
43B
430
43E
44
Bldg.
Value
0.0
135 .9
0 .0
0.0
150.3
0.0
0 .0
74 .2
102.9
22.5
141.7
0 .0
80.4
0 .0
0.0
71.7
0.0
0.0
0.0
10.0
75 .3
0 .0
76 .2
0 .0
59.0
0.0
88.4
104.5
104.5
85 .8
90.0
72.9
90.5
0 .0
0 .0
0 .0
271.9
99.3
58.4
99.7
Land
Value
Acres
52.1
25 .0
44.2
0.0
71.5
48.4
68 .6
75.9
67.9
36 .6
105 .9
35.9
38 .3
10.0
0.4
4.8
0.0
25 .0
7.6
34 .2
30.9
20.5
1.0
98 .0
2.5
1.6
0.5
0 .3
9.0
2.5
2.5
19.0
41.9
4.9
5.3
5.6
15 .8
0.1
7.0
8.5
19.8
6.8
5.8
7.8
12.7
11.5
21.0
5 .0
4 .6
22 .4
5 .0
15.0
1.0
5.9
4.0
58 .6
4.4
8.7
60 .8
79 .7
52.3
45 .1
53 .5
58 .5
13 .2
13 .6
56 .2
67.6
55.6
53.8
56 .8
63 .5
62.0
60.6
44 .6
44.0
58.7
52.6
66.6
36.6
Land
Zoning
Use
13
1
13
1
1
13
13
1
1
1
1
13
6
13
13
1
13
13
13
1
1
13
1
13
72
78
1
1
1
1
1
1
1
13
13
13
1
1
1
76
1
1
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
5
3
4
4
4
2
4
2
3
3
3
4
1
4
4
4
3
3
4
4
5
5
3
2
II of
Stories
0.0
2.0
0.0
1.0
1.0
0.0
0.0
1.0
2.0
1.0
1.5
0.0
0.0
0.0
0.0
1.0
0.0
0 .0
0.0
1.0
1.0
0.0
1.0
0.0
0.0
0.0
1.5
2.0
1.5
1.0
1.0
1.0
1.0
0.0
0.0
0.0
1.0
1.5
1.0
0.0
Occupancy
Heat
Type
II of
Beds
1
2
4
1
1
2
2
1
3
1
1
1
1
2
2
2
2
3
2
3
4
2
1
2
3
1
1
2
2
2
3
1
2
3
2
1
1
1
1
1
1
1
1
1
2
2
4
2
2
2
2
5
3
3
3
86
3
4
3
3
3
2
3
4
1
1
II of
Baths
0.0
2.0
0 .0
1.0
1.0
0.0
0 .0
1.5
2.0
2.0
1.0
0.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
1.0
0.0
1.0
0.0
0.0
0 .0
2.0
2.5
2.0
1.5
2.0
1.0
2.0
0.0
0 .0
0.0
3.0
1.0
1.0
0.0
Total
Rooms
Year
Built
IO
1703
5
1800
1750
7
7
4
5
11
1830
1982
1965
1800
1975
5
1969
6
6
1800
1989
6
1780
1864
5
8
5
7
6
3
6
8
4
3
1985
1975
1976
1975
1977
1979
1984
1981
1981
1987
1850
1st
Floor
0.0
1.0
0.0
0.8
1.3
0.0
0 .0
0.9
1.1
1.3
1.4
0.0
1.6
0.0
0.0
1.0
0.0
0.0
0 .0
0.9
1.2
0 .0
1.2
0.0
0 .9
0 .0
1.1
1.1
1.4
1.3
1.3
0 .8
0 .9
0.0
0 .0
0.0
5.0
1.3
0 .6
1.8
Frontage
50
210
850
1060
600
442
388
245
500
700
150
100
700
250
150
750
1900
300
800
150
450
480
751
347
301
390
500
1690
512
100
Wetlands
Watershed
Map
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
Lot
45
46
46A
47
47A
47B
48
49
50
51
51A
52
52A
53
53A
53B
53C
54
55
56
57
57A
57B
58
59
60
60A
61
61A
62
62A
63
64
64
64A
64B
64C
640
65
66
Bldg.
Value
Land
Value
Acres
72 .6
82.5
68 .5
43.2
0.0
0.0
59.1
0.0
117.3
0.0
84.9
62.0
93 .l
83.l
85 . l
96 .8
69 .8
0.0
72.5
79.4
93 .3
67.0
0.0
98 .4
0.4
101 .5
85.2
0.0
0.0
0.0
84.5
0.0
131.0
0.0
71.5
101.9
75 .6
0.0
0.2
0.0
37.6
19 .5
38.2
64.2
64.2
64.2
54.5
52. l
91 .5
44.2
52 .6
52.6
53.0
52.l
52.8
52.2
52.8
90.3
53.4
68 .8
60 .l
60.9
79 .6
94.2
52.6
55.0
52.9
63 .8
10.6
99.2
68.2
58.6
52 .8
0.0
53 .8
54.0
58 .5
50.0
54.7
72.0
l.3
42.9
13.l
25 .0
25 .0
25 .0
7.0
10.0
72.0
5 .0
5 .0
6.1
5.3
4.6
5.1
4.7
5.1
84.0
5.5
23 .0
10.0
10.8
94.0
65 .0
12.0
6.6
5.1
23 .9
5 .0
91.5
18.0
15.0
5.1
0.0
5.8
5 .9
8.9
8.6
12.0
38.0
Land
Use
78
l
l
l
13
13
l
13
l
13
l
l
l
l
l
l
l
13
l
l
l
l
13
l
13
l
l
13
13
13
l
13
l
l
l
l
l
13
13
13
Zoning
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
Bldg.
Grade
2
4
3
2
3
4
3
3
4
3
4
4
3
3
3
4
3
5
3
4
4
4
2
3
4
3
#of
Stories
0.0
l.O
l.O
l.O
0.0
0.0
l.O
0 .0
l.5
0.0
2.0
l.O
l.5
l.5
l.5
l.5
l.O
0.0
l.O
l.5
l.O
l.5
0.0
2.0
0.0
l.O
l.O
0.0
0.0
0.0
l.O
0.0
2.0
l.O
l.O
l.5
l.5
0.0
0.0
0 .0
Occupancy
Heat
Type
#of
Beds
l
l
0
2
2
l
4
2
2
l
2
l
l
2
3
l
l
l
l
l
l
l
2
2
2
2
2
2
2
3
3
3
3
3
3
3
l
l
l
l
2
2
2
2
2
3
4
3
l
2
3
l
l
2
3
3
2
l
2
3
l
l
l
l
l
2
2
2
2
2
4
l
3
3
3
#of
Baths
0.0
2.0
l.O
2.0
0.0
0.0
l.O
0.0
l.5
0 .0
l.O
l.O
2.0
2.0
l.5
2.0
l.5
0.0
l.5
2.0
l.O
l.5
0.0
2.0
0.0
2.0
l.5
0.0
0.0
0.0
2.0
0.0
2.5
l.O
1.5
2.0
2.0
0.0
0.0
0 .0
87
•
Total
Rooms
Year
Built
8
3
5
1952
1840
1989
1760
5
1969
7
1763
6
5
6
5
5
7
5
1979
1969
1987
1978
1986
1989
1988
5
5
10
6
1987
1975
1797
1974
7
1779
8
4
1978
1982
7
1740
9
3
6
7
5
1900
1900
1975
1976
1976
1st
Floor
l.7
l.2
l.O
l.l
0.0
0.0
l.l
0.0
l.8
0.0
l.O
l.O
l.O
l.2
0.8
l.O
l.O
0.0
l.2
l.O
l.4
l.2
0.0
l.3
0.0
l.7
l.2
0.0
0.0
0.0
l.O
0.0
l.4
0.8
l.l
l.1
l.O
0.0
0.0
0 .0
Frontage
190
750
1864
700
560
1000
650
500
500
400
300
300
300
467
50
400
602
375
710
1350
920
430
1300
1040
2450
544
669
500
300
300
300
643
Wetlands
Watershed
....
Map
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Lot
66A
66B
67
67A
6S
6SA
6SB
69
70
70B
70C
72
1
3
3
4
5
6
7
s
s
SA
SB
SC
9
10
11
12
13
14
14A
14Al
15
16
17
lS
19
19A
20
20
Bldg.
Value
Land
Value
Acres
0.0
SS .7
43.2
67.4
77.9
0.0
0.0
103 .0
0.0
0.2
0.0
0.0
0.0
63.4
12.6
6S.3
S3.0
23.S
Sl.2
0.0
102.1
120.7
0.0
6.S
50.9
S0.3
120.9
35S.4
S0.5
120.5
lOS .9
75.3
93.6
67.7
S4. l
0.0
66.5
0.0
96 .1
0.0
14.6
54.l
74.1
54.9
61.6
64.3
5S .6
42.6
Sl.9
46 .1
44 .3
S9 .3
13.5
79 .6
0.0
3S.l
42.7
44.4
6S .6
0.0
52 .9
52.9
44 .5
65 .4
53.7
53.7
9S.O
110.2
69 .2
S9.2
52.3
10.2
6.0
39.2
55 .5
37.S
43 .1
102.0
45.4
40.1
44.6
52.7
0.0
Land
Zoning
Use
5.9
15.0
30.0
15 .0
2.5
95 .2
6.0
4.S
71.0
9.0
47 .7
0.0
1.6
2.5
3.0
20.0
0.0
5.1
5.2
4.9
21.7
5.S
5.S
73 .3
110.0
19.5
55 .0
4.S
6.9
1.4
2.S
S4.0
7.0
2.0
6.0
5.0
0.0
13
1
1
1
1
13
13
1
13
12
13
13
13
1
5
1
1
1
1
1
1
1
13
1
1
1
1
1
1
1
1
1
1
1
1
13
1
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
2
3
3
4
3
2
3
3
2
4
2
3
4
1
3
3
5
9
3
4
4
3
3
3
3
3
3
2
II of
Stories
0.0
1.0
1.0
1.0
2.0
0.0
0.0
1.5
0.0
0.0
0.0
0.0
0.0
1.0
0.0
1.0
1.5
1.0
1.0
1.0
1.0
2.0
0.0
1.0
1.0
1.0
1.5
1.0
1.0
2.0
1.0
2.0
2.0
1.0
1.0
0.0
1.0
0.0
2.0
1.0
Occupancy
Heat
Type
II of
Beds
1
1
1
1
2
2
2
4
4
2
3
2
2
2
4
1
1
1
1
1
1
1
1
2
1
2
2
2
2
2
2
2
3
4
1
3
2
2
3
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
0
3
3
4
3
3
4
3
3
4
3
3
1
2
3
1
1
2
2
3
2
88
3
II of
Baths
0.0
2.0
1.0
1.0
1.0
0.0
0.0
2.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
1.5
2.0
1.0
1.0
1.0
1.0
2.5
0.0
0.0
1.0
1.5
2.0
3.5
2.5
2.0
2.0
2.0
1.5
2.0
1.5
0.0
1.0
0.0
1.0
1.0
Total
Rooms
Year
Built
7
4
5
5
1979
1973
197S
19SO
6
lSSO
6
1
6
s
4
6
4
5
6
1779
1940
1950
1950
1947
1790
1900
1S26
19SS
7
6
6
7
9
1970
1950
1966
1S50
1976
1790
1973
1973
1973
1967
1963
1790
5
1967
s
1922
1922
1
4
6
7
10
7
s
4
1st
Floor
0.0
2.1
o.s
1.0
1.2
0.0
0.0
1.5
0.0
0.0
0.0
0.0
0.0
1.2
0.5
1.3
1.5
1.0
1.3
o.s
1.4
0.9
0.0
0.4
o.s
1.2
1.4
2.9
1.4
1.6
1.2
0.7
1.1
1.1
1.5
0.0
1.0
0.0
0.9
0.6
Frontage
300
310
300
300
479
300
300
900
302
914
4SO
302
310
200
1350
522
300
362
436
970
600
1350
70
SlO
350
900
250
225
350
1100
210
soo
Wetlands
Watershed
.,I
Map
Lot
Bldg.
Value
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
21
22
23
23
24
26
27
28
29
30
31
31A
33
34
35
36
37
38
39
40
41
41A
42
43
44
122.0
76 .9
0.0
108.5
63 .6
0.0
0.0
70.7
0.0
63 .5
87.8
0.0
70.7
81.2
63 .8
73 .7
50.3
25.0
66 .9
0.0
83 .5
86 .5
45
46
47
48
49
50
51
52
53
54
55
55A
56
57
57
59.4
58 .7
59 .2
77.8
76 .0
0.0
46.9
0.0
96 .7
0.0
58 .9
55.2
0 .0
0 .0
0 .0
0 .0
0.0
214 .3
Land
Value
Acres
59.3
38.8
0.0
37.3
53 .0
4.2
11.4
42.2
32.0
52.6
52.6
90.0
52.2
48 .8
50.6
84.4
37.9
99 .3
48.8
47 .6
70.2
6.0
4.0
4.3
48 .0
1.5
82.5
4.0
7.0
59.4
9.5
49.8
73 .7
70.3
104.6
81.8
47.3
90.9
54.7
4.1
27.0
24.0
89 .8
47.0
3.5
77.0
6.4
16.0
8.7
6.0
36.5
11.5
0.3
6.8
5.1
10.0
0 .0
59 .0
55.4
12.1
78.1
62.0
25.2
12.2
44.8
18.1
0.0
85 .8
25 .0
1.7
0.0
1.2
7.0
12.0
8.0
2.6
1.5
5.0
5.0
50.0
Land
Use
1
1
1
1
1
13
13
1
80
1
1
13
1
1
1
1
1
1
1
13
1
1
1
1
1
1
1
13
1
15
1
13
1
1
71
13
13
13
1
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
4
3
2
3
3
3
3
4
3
3
3
3
3
3
3
3
3
3
3
3
3
4
2
4
4
3
4
4
#of
Stories
1.0
1.0
1.0
1.0
1.0
0.0
0.0
1.0
0 .0
1.0
1.0
0.0
2.0
2.0
1.0
1.0
1.0
1.0
1.0
0.0
2.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
0.0
1.0
0.0
1.0
1.0
0.0
0.0
0.0
0.0
1.0
2.0
Occupancy
Heat
Type
#of
Beds
1
1
1
1
1
2
2
2
2
2
3
2
1
4
2
1
2
4
1
1
2
2
2
2
1
1
1
1
1
2
2
2
2
2
1
2
3
3
3
4
2
1
2
1
1
1
1
1
1
1
4
2
2
2
2
1
2
2
3
3
1
2
3
4
1
2
2
1
2
3
1
1
2
2
3
2
1
2
2
2
2
89
5
Total
Rooms
Year
Built
6
6
4
1985
1986
1944
1958
1950
7
1952
4
6
1965
1900
1.0
1.0
0 .0
7
7
6
10
4
1
1.5
5
1940
1959
1950
1850
1965
1975
1935
#of
Baths
2.0
2.0
1.0
2.0
2.0
0.0
0.0
1.5
0.0
1.0
1.0
0.0
1.5
1.5
1.5
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
0.0
1.0
0.0
1.0
1.0
0.0
0.0
0.0
0.0
1.0
2.0
5
5
5
5
5
8
1986
1974
1940
1850
1770
1981
1790
5
1780
7
1755
6
5
1800
1755
8
12
1850
1780
3
6
5
1st
Floor
1.7
1.0
0.7
2.1
1.2
0 .0
0.0
1.0
0.0
1.1
1.2
0.0
0.9
0.8
1.3
1.9
0.8
0.6
1.3
0.0
1.0
1.4
1.0
1.2
0.9
1.1
1.3
0.0
1.1
0.0
1.3
0.0
0.9
1.1
0.0
0.0
0.0
0.0
1.2
1.5
Frontage
450
315
160
260
462
300
240
30
300
600
1040
438
750
1020
150
85
284
366
545
300
1200
250
820
263
680
386
260
400
1320
20
450
347
550
1420
Wetlands
Watershed
Map
Lot
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
58
59
60
61
62
63
63A
63B
64
65
65A
66
67
67
68
69A
70
71
72
73
74
74A
74B
74C
74C
75
76
76A
76B
76C
77
78
79
80
80A
80B
81
l
2
3
Bldg .
Value
32.7
17.4
71.9
92.5
66 .4
118 .2
86.0
70.9
143.0
70.9
57.4
90.9
190.5
0 .0
0 .0
0.0
25.0
66 .3
45.7
69.0
52 .l
100.7
64.2
0.0
131.5
63.8
0 .0
129.8
0 .0
0 .0
93.6
78 .9
134.0
106.2
0.0
109 .2
48.6
202.2
93 .0
0.0
Land
Value
86.4
54.l
44.2
65.8
57.6
58.0
53.4
52.6
64.0
60.7
53.8
55 .9
85.1
0.0
79.3
51.4
19.0
48 .8
37 .9
35.3
60.0
78 .7
59 .3
0.0
59.3
55.6
77.6
52.7
44.l
55.l
68.l
33.0
85.4
66.2
49.6
57.0
40.l
73.0
78.5
75.3
Acres
64.0
10.0
2.9
19.0
8.3
12.5
5.5
5.0
13.0
10.6
5.8
7.2
55 .8
0.0
52.0
9.5
0.2
4.0
1.4
0.9
10.l
36.0
9.4
0.0
9.4
7.0
45 .5
5.1
4.7
9.3
43 .0
0.7
48.2
15.7
8.4
7.9
2.0
40.0
38.0
47.5
Land
Use
l
11
l
l
78
l
l
l
l
l
l
l
l
l
13
13
72
l
l
l
l
l
l
l
l
l
13
l
13
13
l
78
l
l
13
l
l
l
I
13
Zoning
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
I
I
Bldg .
Grade
3
2
3
3
3
5
3
3
5
3
3
5
4
3
3
2
3
3
4
3
3
4
3
4
3
2
4
4
4
3
5
4
II of
Stories
1.0
1.0
1.0
1.0
0.0
2.0
1.0
1.0
2.0
2.0
1.0
1.0
2.0
1.5
0.0
0.0
0.0
1.5
1.0
1.0
1.0
1.5
1.0
2.0
1.5
1.5
0.0
2.0
0.0
0.0
1.0
0.0
1.0
1.0
0.0
2.0
1.5
2.0
1.5
0.0
Occupancy
Heat
Type
II of
Beds
l
l
l
l
l
l
2
2
l
l
2
4
l
l
l
l
l
l
l
l
l
2
2
2
2
2
2
2
2
l
4
3
2
3
2
2
2
3
l
l
l
l
l
l
l
l
l
l
2
2
2
2
4
2
3
3
4
4
4
3
3
3
3
2
l
3
2
l
2
4
l
3
l
l
2
2
2
2
l
l
l
I
3
2
2
2
3
3
4
4
90
5
4
II of
Baths
1.0
0.0
1.0
1.0
0.0
1.5
1.5
2.0
2 .5
1.5
1.0
1.0
2.0
1.0
0 .0
0 .0
0.0
1.0
1.0
2 .0
1.0
2.0
1.0
1.0
2.0
1.0
0.0
2.5
0.0
0.0
2.0
0.0
3.5
1.5
0.0
2.0
1.0
2.5
1.0
0.0
Total
Rooms
Year
Built
1st
Floor
3
2
3
10
1935
1932
1987
1969
1965
1747
1970
1975
1756
1979
1964
1850
1972
1972
0.5
0.5
7
7
4
9
4
5
4
7
3
5
5
1850
1931
1960
1962
1974
1773
1984
1985
1982
1930
8
1987
6
5
6
6
8
3
3
8
9
1968
1948
1973
1769
4
7
11
6
1988
1936
1770
1860
8
0.9
1.9
2 .0
1.0
1.2
1.4
1.8
0.8
1.2
1.3
1.5
0.6
0.0
0 .0
0.7
l.l
1.0
l.l
0.8
1.4
0.9
0.8
0.9
1.2
0.0
1.2
0.0
0.0
1.7
2.7
2.1
1.5
0.0
0.9
1.0
1.2
l.l
0.0
Frontage
1000
302
208
290
240
1650
300
466
470
233
320
355
430
490
1000
80
1185
300
200
361
775
350
656
480
475
300
300
140
319
888
322
430
1300
430
2256
Wetlands
Watershed
.,,
Map
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
Lot
3A
3B
4
4A
4B
4C
40
401
5
5
6
7
7A
9
9
9A
9Al
10
!OB
IOC
100
11
llA
12
13
14
15
16
16A
16B
16C
160
16E
16F
16G
17
18
ISA
18B
19
Bldg.
Value
Land
Value
Acres
0.0
178.7
46.8
107.6
59.3
77.8
122.8
182.8
97.2
109.5
72.3
86 .l
102.2
0.0
147.7
100.3
111 .3
0.0
88.0
0.0
93 .0
90.0
0.0
123 .9
63.7
0.0
0.0
31.4
0.0
78.9
0.0
0.0
0.0
0.0
0.0
0.0
42.5
84.9
76.0
0.0
58 .1
70.8
52.2
52.6
52.6
53 .l
19.l
60.l
79 .4
50.3
90.0
80.4
52.5
0.0
80.4
52.1
52.5
45 .9
52.3
46 .0
52.1
70.6
153 .5
37.9
54 .1
23 .2
6.9
72.1
80.7
52.9
70.7
32.3
56 .6
52.2
62.6
41.8
15.0
53 . l
54.4
46.9
23 .5
24.8
4.8
5.0
5.0
5.3
95 .3
10.0
37.0
4.1
59 .0
41.0
5.7
0.0
38.5
4.6
4.9
5.9
4.8
6.7
4.7
25 .5
25 .6
1.5
6.0
0.3
0.9
51.2
13 .5
5.2
36 .0
1.4
13.6
10.5
22. l
4.0
3.9
5.3
6.2
6.5
Land
Zoning
Use
13
I
I
I
l
Bldg.
Grade
9
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
I
l
l
l
l
l
4
3
4
3
4
4
6
3
4
3
3
3
2
5
3
3
I
I
4
l
I
l
l
I
I
13
I
13
1
I
10
1
I
15
13
I
10
l
13
15
13
13
13
15
4
1
l
13
I
1
l
1
1
1
1
1
1
1
l
1
l
1
l
l
l
l
l
1
l
l
3
3
4
4
2
3
4
3
II of
Stories
0.0
1.0
1.0
2.0
1.0
2.0
1.0
2.0
1.0
2.0
1.5
1.0
2.0
1.0
2.0
1.0
2.0
0.0
1.0
0.0
1.5
1.0
0.0
2.0
1.0
0.0
0.0
2.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.5
1.5
0.0
Occupancy
Heat
Type
II of
Beds
I
2
2
2
2
2
2
2
2
2
2
2
2
l
2
2
2
3
2
3
2
2
2
4
2
3
3
2
3
l
5
4
3
I
2
3
I
I
I
l
l
l
l
l
l
I
I
l
l
l
l
1
1
2
2
2
3
1
1
2
2
3
1
I
l
2
l
2
3
l
1
2
4
3
2
91
II of
Baths
0.0
2.5
1.0
2.5
1.0
1.0
1.5
3.0
1.0
3.0
2.0
1.0
1.5
1.0
2.0
3.0
2.0
0.0
2.0
0.0
2.0
1.5
0.0
2.5
1.0
0.0
0.0
1.0
0.0
2.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
2.5
0.0
Total
Rooms
Year
Built
10
5
7
4
4
6
8
5
6
5
6
7
3
9
6
7
1989
1932
1986
1980
1986
1987
1700
1920
1986
1900
1953
1984
1850
1850
1986
1986
6
1984
6
5
1983
1966
7
4
1988
1986
3
1935
6
1981
6
5
1988
1985
!st
Floor
0.0
2.9
0.6
1.1
0.7
1.4
2.0
1.4
1.3
0.9
0.9
1.6
1.2
0.4
1.8
1.4
0.9
0.0
1.0
0.0
1.1
1.3
0.0
1.2
0.7
0.0
0.0
0.6
0.0
1.3
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.1
0.9
0.0
Frontage
1000
700
300
300
345
325
1473
1250
206
230
580
300
816
333
300
300
409
300
300
537
350
885
420
300
2900
240
370
1050
400
578
580
330
Wetlands
Watershed
.,I
Map
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
Lot
20
20A
20B
21
22
23
23A
24
25
26
27
29
30
31
32A
33
34
35
36
36A
36B
37
38
38A
38B
38C
39
39A
40
40A
40Al
40A2
40B
40C
42
43
43A
43B
44
45
Bldg.
Value
Land
Value
Acres
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
85 .9
142.2
66 .9
62.3
0.0
35 .7
0.0
77.5
85.8
71.2
87.2
106.5
69 .1
77 .1
0.0
91.6
92.5
5.0
0.0
33.3
165 .4
171.8
0.0
0.0
142.3
0.0
60.5
0.0
88 .9
73 .9
191.0
60.2
38.2
27.9
135 .6
62.7
37.9
85.3
67.4
72.9
50.0
50.0
54.4
38.8
78 .7
88 .7
66 .8
62.7
61.1
60.I
52.0
52.0
52 .1
52.1
70.5
52.2
53 .1
75 .5
50.3
52.6
62.0
53 .1
60.6
53.4
52.2
44.0
38.3
32.2
70.3
42 .0
0.0
18.0
6.4
32.6
22 .6
22.0
2.9
62.5
30.0
68 .0
4.3
4.2
6.2
1.7
73 .0
90 .0
34.7
12.0
10.9
10.0
4.6
4.6
4.6
4.6
35 .7
4.8
5.3
30.0
8.8
5.0
11.5
5.3
20.0
11.1
4.7
4.6
1.6
1.5
Land
Use
13
13
10
71
10
15
10
13
15
71
71
15
1
1
1
1
33
12
13
1
I
1
I
1
I
1
13
1
1
1
13
1
1
1
13
13
1
13
1
13
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
I
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg .
Grade
3
4
3
3
2
3
4
3
3
3
3
3
3
3
3
5
5
4
3
II of
Stories
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
1.0
1.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.5
1.0
0.0
2.0
1.0
0.0
0.0
2.0
2.0
2.0
0.0
0.0
1.0
0.0
1.0
0.0
Occupancy
1
1
1
1
Heat
Type
4
2
2
2
II of
Beds
3
3
3
3
I
1
I
I
1
I
1
2
2
4
2
2
2
2
2
2
2
3
4
2
3
1
1
2
2
3
2
1
1
1
2
2
2
2
2
4
1
2
3
1
2
4
92
II of
Baths
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.5
2.5
1.0
1.0
0.0
0.0
0.0
1.0
1.5
1.0
1.0
1.5
1.5
1.5
0.0
2.0
2.0
0.0
0.0
2.0
2.5
2.5
0.0
0.0
2.5
0.0
1.0
0.0
Total
Rooms
5
7
5
5
Year
Built
1987
1988
1975
1975
1965
5
6
5
6
7
5
6
1975
1790
1981
1987
1976
1978
1977
6
5
1988
1988
6
8
8
1989
1988
1988
8
1988
8
1950
lat
Floor
Frontage
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.9
1.4
1.0
1.0
0.0
1450
1300
500
2200
1.5
2780
300
630
450
470
800
330
420
360
656
0.0
1.2
I.I
0.9
0.9
1.8
0.8
1.2
0.0
1.0
1.3
0.0
0.0
1.1
1.4
1.6
0.0
0.0
2.2
0.0
1.2
0.0
2750
200
200
300
540
400
300
300
300
700
429
428
395
427
200
Wetlands
Watershed
Map
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
Lot
46
46A
47
48
48A
49
50
51
52
53
55
57
58
60
61
62
63
64
65
66
67
1
2
2A
3A
4
5
6
7
8
SA
SB
9
10
11
12
13
14
14A
14C
Bldg.
Value
Land
Value
Acres
0.0
0.0
64.7
0.0
92.7
84.9
0.0
0.0
100.3
52.1
78 .7
45.5
0.0
64.7
0.0
0.0
0.0
0.0
0.0
0.0
0.0
84 .0
67 .5
67 .3
93 .7
0.0
97 .2
75 .0
77.4
81.2
115.5
93 .2
97.9
80.5
64.6
67.6
97.4
69 .6
75.1
109.0
41.8
40.3
41.1
31.8
52.7
55 .2
6.0
39.3
53 .7
61.2
52.2
55 .5
66.4
88 .0
54 .7
57 .0
10.4
6.2
10.8
4.2
73 .0
52.6
67.7
52.1
57.1
37.9
79.4
54. l
47.3
53 .8
52.6
52.6
59.4
53 .1
43 .4
43 .7
52 .6
52.7
52.9
53 .5
4.0
3.7
2.3
27.2
5.1
6.7
0.6
3.3
7.8
8.0
4.8
10.7
37.7
64 .0
12.0
13 .7
7.0
4.1
7.2
2.8
40.0
5.0
17.3
4.6
8.0
3.0
37.0
6.0
3.5
5.8
5.0
5.0
9.6
5.3
2.7
2.7
5.0
5.0
5.2
5.6
Land
Zoning
Use
13
13
I
13
1
1
13
13
I
I
1
1
13
I
13
15
13
13
13
13
13
1
1
1
1
13
9
1
1
1
1
80
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
3
3
3
3
3
3
3
3
4
3
3
3
3
4
3
3
3
3
3
4
3
3
4
# of
Stories
0.0
0.0
1.0
0.0
1.5
1.0
0.0
0.0
2.0
1.5
1.5
1.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
2.0
0.0
1.0
1.5
1.5
1.5
2.0
1.0
1.0
2.0
1.0
1.0
1.5
2.0
1.0
1.5
Occupancy
Heat
Type
#of
Beds
1
2
3
1
1
2
2
3
1
1
1
1
1
2
2
2
2
3
3
3
2
I
2
1
1
1
1
1
2
2
2
2
3
3
2
3
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
4
2
4
2
2
2
3
4
3
4
3
3
3
3
3
3
3
3
3
I
93
#of
Baths
0.0
0.0
2.0
0.0
2.0
1.0
0.0
0.0
2.0
1.0
2.0
1.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.5
0.0
1.0
1.5
1.5
1.0
2.0
2.0
1.0
1.5
1.0
1.5
1.5
1.5
1.0
2.0
Total
Rooms
Year
Built
6
1976
7
5
1987
1960
7
6
7
5
1977
1800
1954
1945
5
1945
5
5
3
6
1922
1976
1978
1979
6
8
7
6
6
6
6
7
5
5
6
6
4
6
1920
1939
1950
1975
1973
1977
1968
1964
1965
1965
1965
1974
1973
1973
1st
Floor
0.0
0.0
1.1
0.0
1.1
1.6
0.0
0.0
0.8
0.8
1.0
0.9
0.0
1.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
0.8
1.0
1.0
0.0
1.3
1.0
1.4
1.2
1.1
1.6
1.6
0.9
1.0
1.3
0.9
0.8
1.3
1.1
Frontage
500
400
250
300
800
600
570
550
200
423
3159
750
848
325
340
307
300
420
1400
625
500
709
500
390
530
311
156
156
290
300
369
300
Wetlands
Watershed
-"
Map
Lot
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
15
16
17
18
18A
19
19A
20
21
23
23A
23B
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
40
41
42
43
44
45
46
47
48
49
50
51
52
Bldg.
Value
15.6
0.0
45.4
46.9
0.0
109.6
52.8
35 .6
58 .5
0.0
0.0
0 .0
75 .8
0.0
60.1
68 .2
70.2
93 .7
116.5
55 .8
91.9
56 .1
56 .9
93 .6
42.0
118.8
90.4
57 .9
0 .0
1.1
60.9
15 .6
90.2
0.0
64.5
61.0
42.0
111 .8
73 .7
41.5
Land
Value
36.6
50.6
55.6
54.1
49 .1
71.9
53 .5
96 .7
104.8
25 .6
15 .0
12.0
79.9
52.0
40.1
54.2
36.6
52.1
96 .7
70.8
109 .2
52.2
30.3
66.6
52.6
86 .1
52.6
67.0
92 .2
66 .0
36 .0
35 .3
33 .1
60.5
39 .0
52 .1
25 .0
69.5
54.1
37.6
Acres
1.0
9.0
7.0
6.0
8.0
24.0
5.6
70.0
125.0
38 .0
10.0
8.0
52.0
15 .0
2.0
6.8
1.0
4.6
70.0
22.0
95 .0
4.8
0.5
15.0
5.0
54 .7
5.0
16.0
78 .0
24.0
1.0
0.9
0.7
18.5
1.7
4 .6
0.4
20.0
6.0
1.3
Land
Use
12
13
1
1
13
1
1
1
1
13
15
15
1
33
1
1
1
1
9
1
I
1
I
9
1
1
1
1
15
1
1
1
1
13
1
1
1
1
1
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
I
I
I
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
1
2
3
4
3
2
3
4
3
3
3
3
3
3
3
2
3
3
3
3
3
3
1
3
3
3
3
3
2
3
3
2
#of
Stories
1.0
0.0
1.5
1.0
0.0
1.5
1.0
1.0
1.0
0.0
0.0
0.0
1.0
0.0
1.0
1.0
1.0
1.5
1.0
1.5
1.0
1.0
1.0
1.0
1.0
1.5
1.0
1.0
0.0
1.0
1.0
1.0
1.0
0 .0
1.0
2.0
1.0
1.0
1.0
1.5
Occupancy
Heat
Type
#of
Beds
0
1
0
1
1
2
2
2
1
1
1
1
1
2
4
2
2
4
1
2
2
1
2
3
1
1
1
1
1
I
I
1
I
I
1
1
1
1
4
2
2
2
2
2
2
3
2
2
2
2
2
2
3
3
4
3
3
3
2
2
3
3
2
4
3
3
0
1
1
1
1
2
1
2
I
3
2
3
1
1
1
1
1
1
3
2
2
2
2
2
2
4
2
3
3
2
94
#of
Baths
0.0
0.0
1.0
1.0
0.0
2.0
1.0
1.0
1.0
0.0
0.0
0.0
1.0
0 .0
1.0
1.5
2.0
2.0
1.5
1.0
1.5
1.0
1.0
1.0
1.0
2.0
1.0
1.0
0.0
1.0
1.0
1.0
2.0
0.0
1.0
1.0
1.0
2.0
1.0
1.0
Total
Rooms
Year
Built
1st
Floor
7
1960
6
3
1749
1945
6
4
4
5
1980
1984
1914
1800
8
1800
5
5
1949
1978
1965
1967
1780
1935
1865
1962
1964
1920
1959
1972
1829
1940
1.2
0.0
1.1
0.7
0.0
1.0
0.8
0 .7
1.1
0.0
0.0
0.0
1.1
0.0
1.5
1.4
1.3
1.2
1.2
0.8
1.3
0.8
0.9
0.9
0.8
1.1
1.1
1.3
0.0
0.2
1.3
1.0
1.3
0.0
1.5
0.8
0.8
2.3
1.5
0.7
6
7
6
5
5
4
5
5
4
8
7
5
2
5
4
7
6
6
4
6
7
5
1952
1946
1971
1963
1910
1935
1940
1959
1956
1943
Frontage
208
450
750
780
700
350
1000
1300
650
820
210
30
170
325
910
390
900
212
100
482
372
431
263
660
300
200
200
165
414
216
50
150
231
685
245
Wetlands
Watershed
..;
Map
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
Lot
53
54
54
54A
54B
54C
540
55
56
57
58
59
59A
61
62
63
63A
63B
63C
64
64A
65
66
67
68
70
71
72
72
73
74
74A
75
75
75
76
77
78
78A
79
Bldg.
Value
Land
Value
Acres
60.8
94.0
0.0
84 .4
0.0
0.0
0.0
0.0
0.0
0.0
72 .2
83.3
98 .5
57 .6
0.0
72.5
84.3
0.0
0.0
69 .0
0.0
25.7
0.0
39.6
0.0
69 .2
94 .8
51.6
105 .4
106.3
88.7
82.6
0.0
0.0
488 .8
0.0
88 .6
127.0
0.0
3.4
33.7
54.9
0.0
95 .0
44.l
44.l
44.0
11.8
26 .0
57.4
98 .6
72.0
72.0
61.2
67 .6
75.2
44 .2
44.7
53 .2
52.8
49 .7
63.4
55.6
65.4
68 .0
45 .6
42.5
0.0
84.3
52.2
52.8
52.5
0.0
0.0
136.5
63 .1
37.4
67.6
52.2
44.6
0.8
6.5
0.0
40.0
4.6
4.6
4.6
11.5
39.0
38.0
180.0
32.0
32.0
15 .0
39 .0
43.4
4.7
5.0
11.0
5.1
8.1
12.6
12.7
14.0
36.5
3.4
2.5
0.0
50.0
4.7
5.1
5.7
0.0
0.0
115 .0
12.0
1.3
19.5
13 .7
5.0
Land
Use
1
1
1
9
13
13
13
13
13
15
l·
1
1
1
13
1
l
13
13
1
13
l
13
1
13
1
l
1
2
1
1
1
11
11
11
6
1
1
13
11
Zoning
1
1
1
l
l
1
1
1
1
1
1
1
l
l
1
1
1
1
1
l
1
l
1
1
1
1
1
1
1
1
1
1
1
1
l
1
1
1
1
1
Bldg.
Grade
3
3
2
3
4
4
3
4
3
3
3
2
3
3
2
4
4
3
4
2
1
2
3
4
II of
Stories
1.5
1.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.5
1.5
2.0
1.0
0.0
1.5
1.0
0.0
0.0
1.0
0.0
1.0
0.0
1.0
0.0
1.0
1.5
1.0
2.0
1.0
1.0
2.0
1.0
0.0
0.0
0.0
1.0
2.0
0.0
0.0
Occupancy
1
1
1
1
Heat
Type
II of
Beds
2
3
l
2
4
l
1
1
2
4
4
4
2
3
3
2
1
1
2
2
3
3
1
2
3
1
3
2
1
3
2
1
1
l
3
1
1
1
1
1
1
2
2
2
2
2
2
2
1
l
1
2
3
2
5
3
2
2
1
1
2
2
3
3
I
95
II of
Baths
1.0
2.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
0.0
1.0
1.5
0.0
0.0
1.0
0.0
1.0
0.0
1.0
0.0
1.0
2.0
1.5
3.0
2.5
1.0
1.5
0.0
0.0
0.0
0.0
1.0
2.5
0.0
0.0
Total
Rooms
Year
Built
5
6
2
1939
1915
1919
6
5
6
6
1950
1983
1983
1960
6
5
1820
1988
6
1820
6
1962
5
1947
5
7
4
12
5
5
3
1976
1964
1880
1858
1989
1986
1987
1955
1955
1955
6
7
1959
1984
1st
Floor
0.8
1.3
0.9
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.9
0.9
1.0
0.9
0.0
0.6
1.3
0.0
0.0
1.1
0.0
1.3
0.0
0.7
0.0
1.0
1.3
1.0
1.4
1.3
1.0
0.6
2.2
0.7
0.4
0.0
1.9
1.1
0.0
0.0
Frontage
135
800
900
1800
1950
750
750
1300
2000
3400
700
534
26
358
1584
350
300
1800
721
736
776
.2650
2000
118
616
325
500
Wetlands
Watershed
Map
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
Lot
80
81
83
84
87
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
4
5
6
7
8
8
9
9B
10
11
12
13
14
15
Bldg.
Value
Land
Value
80.3
13 .4
0.0
109.1
25 .3
126.1
0.0
0.0
0.0
0.0
0.0
0.0
416 .1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
26.9
0.0
0.0
0.0
104.4
0.0
1331.8
0.0
8.6
84.2
62.5
87 .7
0.0
13.8
0.0
51.0
63 .6
92.1
55 .5
64.7
69 .0
0.0
0.0
0.0
0.0
0.0
0.0
160.7
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
43 .1
50.6
19.0
16.1
40.3
0.0
117.4
109.0
73 .1
54.9
54.9
42.5
8.5
54.1
43 .1
Acres
Land
Zoning
Use
4.5
25 .0
48 .0
6.9
28 .8
24.0
0.0
0.0
0.0
0.0
0.0
0.0
200.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.8
9.0
17.5
12.5
2.0
0.0
81.6
110.0
40.1
6.5
6.5
2.5
3.3
6.0
4.5
1
13
6
1
33
1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
1
13
13
13
1
6
6
13
13
1
1
1
13
1
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
4
3
1
3
1
3
3
1
3
1
2
1
3
1
3
1
1
3
1
3
2
2
3
3
3
3
3
3
1
II of
Stories
1.5
0.0
0.0
2.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
2.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
0.0
1.0
0.0
Occupancy
1
Heat
Type
II of
II of
Beds
Baths
2
3
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
3
3
1
3
3
1
1
4
1
3
3
4
2
2
1
2
2
I
1
1
1
1
1
1
1
1
1
I
1
1
1
3
3
3
3
2
2
1
1
2
1
1
1
1
2
1
2
2
2
2
3
2
2
2
3
2
3
1
2
96
2.0
0.0
0.0
2.5
0.0
2.0
0.0
1.0
0.0
1.0
1.0
0.0
1.0
4.0
0.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
0.0
0.0
0.0
2.5
0.0
0.0
0.0
0.0
1.0
1.0
2.0
0.0
0.0
0.0
Total
Rooms
Year
Built
1st
Floor
5
1979
0.9
0.0
0.0
0.8
0.0
2.2
0.3
0.7
Q.3
0.8
0.8
0.3
0.8
0.2
0.6
0.5
0.2
0.2
1.5
0.2
0.5
0.4
0.4
0.4
0.5
0.5
0.0
0.0
0.0
1.8
1.1
5.9
0.0
0.0
1.1
0.8
1.2
0.0
0.4
0.0
5
1980
12
4
5
4
5
4
1964
1975
1976
1965
1982
1972
1984
1850
1975
1970
1968
1974
1974
1987
1965
1965
1973
1970
1978
1970
1920
5
5
5
4
4
4
3
3
4
4
4
6
1964
1950
1975
5
2
5
1988
1988
1988
1
1965
Frontage
50
2250
973
1900
1000
2360
350
300
213
2700
1550
700
360
452
148
Wetlands
Watershed
Map
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
Lot
Bldg .
Value
Land
Value
Acres
16
16
17
18
19
20
21
22
22A
23
24
25
26
27
27A
28
29
30
31
32
33
34
35
36
37
39
40
41
42
43
44
45
45A
46
47
47A
49
50
52
52
22.0
0.0
5.1
57.5
63.0
63.4
74.1
107.3
80.1
101.4
0.0
79.2
10.7
0.0
0.0
62.2
45 .9
75 .3
69.6
55 .8
63.4
8.5
48 .8
0.0
116.6
83 .1
49 .4
73 .0
67 .2
0.0
55 .0
0.0
114.2
118.6
0.0
108.5
0.0
36.2
0.0
86.8
69.3
0.0
60.4
54.1
49.4
55.6
62.0
82.3
52.7
36.7
112.0
67 .0
36.6
86 .7
54.1
60.5
33 .2
58 .2
38.9
52.2
55.6
51.4
41.2
61.3
67.6
67.7
42 .5
56.4
50.0
17.7
54.1
44 .1
57.1
105 .8
87.3
59 .4
61.2
95.0
0.0
69.5
19.5
0.0
18.4
6.0
4.2
7.0
11 .5
47.4
5.1
1.1
126.0
17.0
1.0
74 .0
6.0
10.5
0.8
8.8
1.8
4.8
7.0
9.5
2.2
26.0
16.9
17.0
2.5
9.0
4.3
17.5
6.0
4.7
8.0
89 .0
68 .5
9.5
27.0
67.0
0.0
20.0
Land
Use
I
1
12
I
1
I
1
1
1
1
13
1
I
13
11
1
1
1
I
I
1
13
1
13
1
1
1
1
I
15
I
13
I
1
13
I
13
11
I
1
Zoning
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
I
1
1
I
1
1
1
1
1
1
I
1
1
1
1
1
1
1
I
I
Bldg.
Grade
I
1
3
3
3
3
4
3
3
4
3
3
2
3
3
3
3
3
4
3
3
3
3
3
4
5
4
1
I
I
I
2
2
3
#of
Stories
1.0
1.0
0.0
1.0
1.0
1.0
2.0
1.0
1.0
1.5
0.0
1.0
1.0
0.0
0.0
1.0
1.0
1.5
1.0
1.0
1.0
0.0
1.0
0.0
2.0
1.0
1.0
1.0
1.0
0.0
1.5
0.0
1.5
2.0
0.0
1.5
0.0
1.0
1.0
1.0
Occupancy
1
1
1
1
Heat
Type
#of
Beds
1
1
1
1
2
2
2
1
4
1
2
3
3
3
4
2
2
4
I
I
2
2
4
2
I
4
1
2
2
2
4
2
2
4
4
2
3
1
2
2
I
I
I
1
I
1
I
I
I
I
2
2
2
2
1
I
3
2
3
2
2
1
2
I
1
1
2
2
4
3
1
2
3
1
1
3
2
1
2
1
1
I
2
97
#of
Baths
1.0
1.0
0.0
1.0
1.5
1.0
1.0
2.0
1.0
2.0
0.0
1.0
1.0
0.0
0.0
1.0
1.0
1.5
1.0
2.0
1.0
0.0
1.0
0.0
2.0
2.0
1.0
1.0
1.5
0.0
1.0
0.0
1.5
1.5
0.0
2.0
0.0
1.0
1.0
1.5
Total
Rooms
Year
Built
1st
Floor
2
1
1965
1940
5
6
5
6
6
6
7
1973
1960
1972
1971
1820
1973
1973
0.5
0.3
0.0
1.0
1.3
1.0
0.8
1.5
1.0
1.0
0.0
8
4
1771
1967
8
5
7
6
5
5
1936
1958
1972
1966
1983
1969
5
1910
6
8
6
5
5
1970
1978
1964
1975
1982
4
1944
7
8
1988
1820
7
1987
1
4
6
1950
1935
1935
1.1
0.6
0.0
0.0
1.3
0.9
0.9
1.2
0.8
1.0
0.0
0.7
0.0
0.9
1.1
0.9
1.0
0.8
0.0
0.8
0.0
1.1
1.1
0.0
1.1
0.0
1.6
0.7
0.8
Frontage
625
200
545
320
850
300
132
245
1050
106
3000
200
450
250
750
271
355
272
850
419
468
900
312
172
875
250
1500
1200
225
1075
1700
550
300
450
Wetlands
Watershed
_,
Map
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
Lot
53
54
55
56
56A
57
58
59
60
60A
60B
61
62
62A
62B
62C
620
63
63A
63B
63Bl
63BlA
63C
64
65
66
67
68
69
70
71
1
2
3
4
5
6
6A
7
9
Bldg .
Value
Land
Value
Acres
51.6
73 .5
88.4
0.0
95 .8
92.9
0.0
93 .9
0.0
139.7
36.3
124.3
77 .3
95.0
5.0
0 .0
0 .0
0.0
0 .0
0.0
180.0
0.0
0.0
0.0
106 .1
50 .1
79.3
73 .1
0.0
133.9
82 .1
72.9
0.0
28.2
66 .1
80.9
99.3
0.0
70.9
0.0
43 .1
75.4
66 .9
49.9
57.1
60.1
44.6
54.1
62.8
65 .1
52.6
48 .8
52.5
52.1
52.3
45 .0
44.2
64.5
46 .3
46 .8
53 .9
45 .9
10.1
ll7.2
61.2
16.1
70.8
70.1
53.2
77.7
73.0
45 .5
59.1
55 .6
55 .6
71.1
104.8
7.5
38.5
46.1
2.8
30.1
16.0
8.4
8.0
10.0
5.0
6 .0
22.0
13.8
5.0
4.0
5.0
4.7
4.8
5.3
4.7
25 .0
6.1
12.0
5.8
5.8
6.7
160.0
11.0
2.0
22.0
21.0
11.0
33 .9
34.0
3 .3
24 .0
7 .0
7 .0
24 .2
86 .0
5 .0
l.7
6.0
Land
Use
1
1
1
13
1
1
13
1
13
1
1
1
1
1
1
13
13
13
75
13
1
13
13
13
1
1
1
1
13
1
1
1
15
1
1
1
1
71
1
13
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
1
1
1
1
1
Bldg.
Grade
2
4
4
3
3
1
4
3
4
3
4
5
3
3
3
3
3
3
3
1
3
3
4
3
#of
Stories
l.O
l.O
l.O
0 .0
l.O
l.O
0.0
4.0
0.0
2.0
l.O
l.O
l.O
2.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
0.0
0.0
1.5
l.O
l.O
l.O
0.0
l.O
l.O
l.O
0.0
l.O
l.O
l.O
l.5
0.0
l.O
0.0
Occupancy
Heat
Type
#of
#of
Beds
Baths
1
1
1
2
2
2
3
3
3
1
1
2
2
2
3
1
2
4
1
1
1
1
1
2
2
2
5
2
3
1
3
4
3
1
2
3
1
1
1
1
2
2
2
4
4
1
3
3
1
1
1
2
4
2
3
3
4
1
1
1
1
2
4
4
2
1
2
3
4
1
2
3
98
l.O
l.O
l.O
0.0
l.O
l.O
0.0
l.O
0.0
2.0
l.O
2.0
l.O
1.5
0.0
0.0
0.0
0.0
0.0
0.0
2.5
0.0
0.0
0.0
l.O
l.O
1.5
2.0
0.0
2.5
l.O
l.O
0 .0
l.O
l.O
l.5
l.O
0 .0
l.O
0.0
Total
Rooms
Year
Built
1st
Floor
6
7
9
1955
1800
1800
5
8
1979
1790
10
1790
8
3
7
6
7
1978
1900
1970
1979
1987
8
1986
8
4
6
7
1900
1974
1977
1968
7
6
9
1988
1974
1850
5
7
6
10
1940
1945
1977
1929
6
1975
0.7
l.2
l.2
0.0
l.4
2.0
0.0
l.6
0.0
1.5
0.4
2.0
1.5
0.9
0.0
0.0
0.0
0.0
0.0
0.0
l.7
0.0
0.0
0.0
l.4
0.8
l.4
l.2
0.0
2.2
1.5
l.O
0.0
l.O
1.1
l.4
1.3
0.0
0.9
0.0
Frontage
2350
837
1140
755
1500
960
llOO
419
325
415
735
599
983
569
300
364
25
234
206
363
362
2250
1536
750
773
200
900
371
1000
300
1450
2100
300
1840
1625
272
425
Wetlands
Watershed
Map
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
Lot
9A
10
11
12
12A
12B
12C
120
12E
12F
12G
12H
121
121
12K
13
13A
13B
14
14
1401
1402
1403
14A
14B
14C
140
14E
14F
14G
14H
141
15
15B
16
17
18
19
19A
20
Bldg .
Value
70.6
66 .9
73 .2
0.0
0 .0
135.5
131.7
225.6
106.9
0 .0
107.4
145.4
0 .0
66 .7
131.4
0 .0
123 .9
165 .6
86 .0
0 .0
0.0
86.0
0.0
79 .5
158.5
0.0
0.0
0.0
0.0
109.1
0.0
0.0
0.0
0 .0
0 .0
0.0
312.3
51.3
57.8
0.0
Land
Value
Acres
59 .8
49.8
51.0
79 .5
48 .5
52.1
58 .1
59.6
58.l
44.5
48 .0
53 .8
48 .1
58 .1
58.1
56 .2
55 .3
56 .3
52.l
145 .3
44.0
52.1
44.0
74.9
73 .6
208 .0
21.6
31.6
96.0
52.6
52.6
11.6
61.5
5.8
262.5
85.8
84.4
40.1
40.l
45 .3
9.8
4.2
4.5
52.3
4.9
4.6
4.6
5 .6
4.6
4 .9
4.6
5 .8
4.6
4.6
4.6
14.8
6.8
7.5
4.7
191.3
4.6
4.7
4.6
29 .3
26.9
34.7
23.0
1.2
16.0
5.0
5 .0
9.1
20.0
0.0
25 .0
102.0
46 .0
2.0
2 .0
5 .5
Land
Use
1
1
1
13
13
1
1
1
1
13
1
1
13
1
1
13
1
1
1
13
13
1
13
1
1
10
15
15
10
1
15
15
13
10
10
13
1
1
1
13
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
5
5
6
5
3
5
5
5
4
4
3
3
3
4
3
6
3
3
#of
Stories
1.5
1.0
1.0
0.0
0.0
1.5
2.0
1.5
3.0
0.0
1.5
2.0
0.0
3.0
3.0
0.0
2.0
2.0
1.0
0.0
0.0
1.0
0.0
2 .0
2.0
0.0
0.0
0.0
0.0
1.0
0 .0
0.0
0.0
0.0
0.0
0.0
2.0
1.0
1.5
0.0
Occupancy
Heat
Type
#of
Beds
1
1
1
2
2
2
2
3
3
1
1
1
1
2
2
2
2
3
4
3
3
1
1
2
2
4
3
1
1
2
2
3
3
1
1
1
2
2
2
3
4
3
1
2
3
1
1
2
2
3
5
1
1
1
1
2
2
2
4
99
3
4
3
2
#of
Baths
1.0
2.0
1.0
0.0
0.0
2.0
2.5
3 .5
2.0
0.0
2.5
2.5
0.0
2.5
2.0
0.0
2.0
3.0
2.0
0.0
0.0
2.0
0 .0
1.5
3.0
0.0
0 .0
0.0
0.0
2 .0
0.0
0.0
0.0
0.0
0.0
0 .0
5.0
1.0
1.0
0.0
Total
Rooms
Year
Built
4
6
6
1987
1975
1972
6
8
6
5
1978
1979
1979
1989
9
7
1989
1989
8
7
1989
1989
8
8
6
1981
1982
1989
6
1989
8
10
1870
1985
6
10
4
5
1982
1975
1950
1986
1st
Floor
0.9
0.9
1.2
0.0
0.0
1.1
1.0
2 .9
1.1
0.0
1.3
1.2
0.0
1.5
1.0
0.0
1.4
1.4
1.2
0.0
0 .0
1.2
0.0
1.1
1.4
0.0
0.0
0.0
0.0
2.0
0.0
0.0
0.0
0.0
0.0
0.0
2.2
1.2
0.6
0.0
Frontage
Wetlands
Watershed
450
85
85
651
100
568
900
475
424
567
300
400
1300
600
1
1
1
600
600
1
1
600
376
376
600
1850
2450
400
850
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Map
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
Lot
20A
20B
200
20E
21
21A
21B
22
23
23A
24
25
25AE
26
26A
26Al
27
27A
27AE
28
28A
29
29A
29Al
29A2
29AE
29B
30
32
33
35
35A
35B
35C
350
3501
36
37
37A
38
Bldg .
Value
68 .6
97 .6
91.8
0 .0
0.0
0 .0
0 .0
0.0
61.9
0 .0
0.0
0.0
0.0
0 .0
0.0
0.0
9 .8
0 .0
0 .0
0 .0
0 .0
0.0
158 .6
143 .7
99.8
0.0
0 .0
0.0
0.0
0.0
59 .0
0.0
224.7
70.5
84.5
2.5
107.5
7.4
85 .2
0.0
Land
Value
Acres
53 .2
52.1
52.4
53 .2
61.5
136.5
15.0
20.7
51.2
1.7
30 .0
46.1
4.1
346 .5
44.4
44 .6
107.5
4 .2
42.0
58.4
47 .3
46.0
57.0
56 .0
56.9
44.3
44.0
7.5
7.1
4.5
53.3
60.1
53 .1
52.1
69 .4
54.6
40.1
38.5
52.1
28 .0
5.4
4.7
4.9
11.0
20.0
13.0
11.0
20.0
4.5
0.2
5.0
6.0
0.0
33 .0
4.9
5.0
94.6
0 .3
0 .0
15.2
6 .8
5.9
7.9
7.2
7.9
0 .0
4.6
5 .0
4 .7
3.0
6 .9
17.9
5.3
4 .7
19.8
12.0
2 .0
3 .4
4.6
0 .6
Land
Use
1
1
1
13
78
10
15
13
1
10
10
13
10
10
13
13
12
15
10
13
13
13
1
1
1
10
13
13
15
13
1
13
2
1
1
13
1
13
1
13
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
1
4
3
3
1
4
4
4
3
5
3
3
3
3
II of
Stories
2.0
1.5
1.0
0.0
0.0
0.0
0.0
0.0
1.5
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
1.0
1.5
0 .0
0.0
0 .0
0.0
0 .0
1.5
0.0
1.5
1.0
1.5
0.0
1.5
0.0
1.0
0.0
Occupancy
1
1
1
1
0
1
1
1
Heat
Type
II of
Beds
2
2
2
3
2
3
1
4
1
2
4
4
3
2
2
1
2
3
3
1
1
2
2
2
5
4
3
1
2
3
1
2
3
100
II of
Baths
1.5
2.0
1.5
0.0
0.0
0.0
0.0
0 .0
2.0
0 .0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
2.0
0.0
0.0
0.0
0.0
0.0
1.0
0.0
3.5
1.0
1.5
0 .0
2 .0
0 .0
1.5
0 .0
Total
Rooms
Year
Built
5
5
5
1976
1977
1989
10
1800
1930
10
5
5
1978
1983
1979
5
1946
14
6
6
1975
1977
1983
7
1966
6
1970
lat
Floor
1.1
0.9
1.5
0.0
0.0
0.0
0.0
0.0
1.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.7
0.0
0.0
0.0
0.0
0.0
2.2
1.3
1.0
0.0
0.0
0.0
0.0
0.0
0.6
0.0
2.1
0.9
0.9
0.0
1.2
0.0
1.2
0.0
Frontage
Wetlands
390
300
300
1
1
700
65
318
854
625
1200
3000
1
1
1
1
620
474
250
308
300
1
550
600
321
330
406
310
200
300
851
150
1
1
1
Watershed
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Map
6
6
6
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Lot
39
40
41
41A
43
45
46
47
48
CEM
1
2
3
4
4A
5
6
7
8
9
10
11
12
12A
13
13A
13B
14
15
16
17
17A
18
19
20
20A
20B
20C
200
21
Bldg.
Value
253.6
75.0
64.2
93 .4
96 .0
0.0
110.8
0.0
0.0
0.0
27.0
132.3
291.6
0.0
130.6
0.0
70.6
55.4
74.9
58 .9
60.4
136.7
74.8
5.0
0.3
70.7
87.7
0.0
62.5
57.9
69 .0
103.3
83 .6
0.0
0.0
102.1
71.2
123.7
0.0
0.0
Land
Value
Acres
75 .1
99 .3
18.2
52.6
52. l
50.8
52.0
45.4
60.2
0.0
44.4
91.2
70.8
64.1
52.1
44.8
36.6
38.5
38 .9
40.5
43 .5
86.5
61.9
57.8
82.9
52.1
52.6
23.6
72 .5
49.3
59 .2
52.1
67.5
15 .0
72.9
52.3
52.6
52.6
44.6
35.9
22.8
81.0
55 .0
5.0
4.6
8.7
4.6
5.5
18.0
0.0
3.0
50.0
23 .0
24.4
4.6
6.5
1.0
1.7
1.8
2.0
2.7
50.0
11.0
8.5
58 .6
4.6
5.0
25 .0
25 .0
4.2
9.4
4.6
16.8
10.0
39.8
4.8
5.0
5.0
5.0
2.5
Land
Zoning
Use
11
1
1
1
1
15
1
13
13
c
1
1
72
13
1
13
1
1
1
1
1
1
1
1
15
1
1
13
1
1
1
1
1
15
15
1
1
1
13
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
4
3
3
4
4
4
4
1
4
3
3
3
3
3
4
4
3
3
3
3
3
4
3
4
3
4
II of
Stories
1.0
1.0
1.5
1.5
1.0
0.0
1.0
0.0
0.0
0.0
2.0
1.0
0.0
0.0
2.0
0.0
1.0
1.0
1.0
1.0
1.0
2.0
1.0
0.0
0.0
1.0
1.0
0.0
1.5
1.0
1.0
1.0
1.0
0.0
0.0
2.0
1.0
2.0
0.0
0.0
Occupancy
Heat
Type
II of
Beds
1
1
1
1
1
2
2
2
4
2
2
3
3
2
3
1
2
2
1
1
0
2
2
2
1
3
0
1
2
4
1
1
1
1
1
1
1
2
2
2
2
2
2
1
2
3
3
3
2
4
4
1
1
2
2
3
2
I
1
1
2
2
1
2
2
3
2
2
3
3
1
1
1
2
2
2
3
3
3
1
I
101
II of
Baths
1.0
1.0
1.0
1.0
1.5
0.0
2.5
0.0
0.0
0.0
0.0
1.5
0.0
0.0
2.0
0.0
1.0
1.0
1.0
1.0
1.0
1.5
1.0
0.0
0.0
2.0
2.5
0.0
1.0
1.0
1.0
2.5
1.0
0.0
0.0
2.5
1.0
2.5
0.0
0.0
Total
Rooms
Year
Built
5
5
6
5
6
1960
1778
1780
1987
1976
7
1977
2
6
0
1804
1970
1850
7
1987
6
6
6
5
8
10
1960
1963
1959
1958
1961
1852
1830
5
4
1976
1988
5
4
4
6
8
1958
1947
1966
1986
1979
7
4
7
1989
1986
1983
1st
Floor
1.3
1.1
1.0
0.9
1.3
0.0
1.3
0.0
0.0
0.0
0.2
2.1
4.3
0.0
1.2
0.0
0.9
1.1
0.9
1.0
1.0
1.6
1.6
0.0
0.0
1.1
1.4
0.0
0.9
1.0
1.6
1.3
1.4
0.0
0.0
1.2
1.2
1.3
0.0
0.0
Frontage
2160
1150
1160
350
540
300
300
300
500
3200
1400
1050
783
300
157
185
187
220
295
1900
1550
300
330
839
0
500
304
1990
312
0
0
50
300
301
300
316
700
Wetlands
Watershed
_,
Map
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Lot
22
23
24
25
25A
26
27
27
28
29
30
31
31A
32
32A
33
33A
34
35
36
37
38
39
40
42
45
46
47
47A
48
48A
49
50
51
SIA
52
52
53
53A
54
Bldg.
Value
Land
29 .6
0.0
72.8
0.0
130.2
77.3
97.9
66.7
53 .5
94.3
192.6
89 .3
53.4
19.4
90.0
63.6
79 .0
0.0
115 .2
63 .9
130.5
80.7
0.0
0.0
0.0
57 .2
0.0
64.6
0.0
1.1
52.5
87.3
0.0
9.7
55.9
0.0
100.1
88 .7
0 .0
45.5
92.4
6.7
40.1
63.4
52.6
58 .6
64.5
0.0
37 .6
112.8
149.2
66.6
52.9
89.0
52 .2
77.5
52 .5
63 .9
43.0
55 .9
55.9
56.2
46 .1
47.2
48 .1
52.4
13 .6
72.5
14.7
53.1
61.6
65 .0
16.4
49 .3
61.4
0.0
36 .7
95 .9
89 .6
18.2
Acres
Value
61.0
0.8
2.0
23 .0
5.0
9.0
13.3
0.0
l.3
106.0
201.4
15 .0
5.2
54.7
4.7
33 .5
4.9
36 .3
2.5
15 .0
10.0
7.4
6.0
6.7
7.3
4.9
7.0
24.9
9.8
10.9
11.3
13 .7
0.3
3.9
12.6
0.0
1.0
68 .5
71.5
0 .2
Land
Use
1
13
1
13
1
1
1
9
1
1
1
1
1
1
1
1
1
13
1
1
1
1
13
13
13
1
13
1
13
13
1
1
78
1
1
1
1
1
13
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
2
3
4
3
3
1
3
4
5
3
2
3
4
3
4
4
3
4
3
3
3
3
3
1
2
2
3
4
3
II of
Stories
l.O
0 .0
1.0
0.0
2.0
1.0
1.5
0.0
1.0
1.0
2.0
2.0
1.5
1.0
1.0
1.5
1.0
0.0
2.0
1.0
2.0
2.0
0.0
0.0
0.0
1.0
0.0
l.O
0.0
0.0
2.0
1.0
0.0
l.O
l.O
l.O
l.O
1.5
0.0
l.O
Heat
Type
II of
Beds
1
2
2
1
2
3
1
1
1
0
1
1
1
1
1
1
1
1
1
2
2
2
1
2
2
2
2
1
3
2
2
2
4
2
3
0
3
4
3
3
1
3
2.
3
3
1
1
1
1
2
2
2
2
3
3
4
2
1
2
3
1
2
3
1
1
4
2
1
3
1
1
1
1
1
1
2
3
2
2
0
3
1
2
3
1
2
2
Occupancy
102
II of
Baths
l.O
0.0
1.0
0.0
2.0
1.0
2.0
0 .0
l.O
l.O
2.5
1.0
l.O
1.0
1.5
1.0
1.0
0.0
2.0
1.0
3.0
1.0
0.0
0.0
0.0
l.O
0.0
1.0
0.0
0.0
l.O
1.5
0.0
0 .0
1.0
1.0
l.O
1.5
0.0
l.5
Total
Rooms
Year
Built
4
1947
5
1954
10
1860
1953
1900
1965
1952
1820
1989
1984
1950
1971
1780
1939
1986
5
7
5
8
6
6
5
4
6
6
5
5
4
8
4
1988
1987
1989
1983
5
1970
6
1786
3
6
1976
1967
2
6
2
4
5
1900
1946
1800
1800
1942
4
1939
1st
Floor
0.5
0.0
1.2
0.0
2.3
l.2
l.O
l.7
1.1
1.6
2.0
0.9
1.5
0.8
l.2
0.8
0.9
0.0
1.1
1.1
l.2
0.7
0.0
0.0
0.0
1.0
0.0
1.4
0.0
0.0
0.7
l.5
0.0
0.5
1.5
0.9
1.2
1.3
0.0
0 .9
Frontage
850
385
381
1100
167
380
550
390
1370
1400
319
308
650
853
666
300
220
400
525
1300
400
450
600
1110
300
116
870
361
450
444
650
100
778
305
390
3800
100
Wetlands
Watershed
_,
Map
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
8
8
Lot
55
56
57
58
59
60
61
62
63
63A
63B
64A
65
66
67
68
69
69A
70
71
72
73
74
74
75
75A
75B
76
76A
77
78
79
80
82
82A
82B
82C
83
1
2
Bldg.
Value
26 .6
115 .8
60.0
52.0
38 .1
36.1
43 .9
70.0
0.0
70 .3
87.8
122.3
43 .2
112.8
70.l
108.3
0.0
46 .6
65 .9
0.0
146.6
0.0
0 .0
165.5
64 .6
161.5
85 .3
0.0
0.0
0.0
0.0
0.0
130.5
60.9
80.6
1.8
0.0
0.0
0.8
0.0
Land
Value
18.2
94.2
52.6
20.0
23 .8
37.6
31.8
37.6
67.3
56.4
58 .8
81.0
39 .6
61.2
31.0
54 .1
47 .4
54 .2
37.9
4.0
62.7
47.6
0.0
69 .0
78 .7
56 .0
52.6
85 .6
7 .5
15 .2
9.3
15 .2
137.5
59.8
53.4
44.9
71.7
45.4
61.9
60.2
Acres
0.2
65.0
5.0
0.3
0 .4
1.3
0.7
1.3
30.5
7.5
5.0
58.0
36 .7
11.0
0.5
6.0
6 .9
6 .1
1.5
0.3
12.0
7.0
0.0
22.0
36 .0
8.0
5 .0
63 .0
5.0
10.1
6.2
10.1
160.6
10.0
5.5
5.2
38 .0
8.0
20.8
18.0
Land
Use
1
9
1
1
1
1
1
1
13
1
1
1
1
1
1
1
15
1
1
13
1
13
1
1
1
1
1
13
15
15
15
15
1
1
1
13
13
13
11
13
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
2
3
3
3
2
2
3
3
3
3
3
3
3
3
3
2
3
4
3
4
2
5
3
4
3
3
#of
Stories
1.0
1.5
1.0
1.0
1.5
2.0
1.0
1.5
0.0
1.0
1.0
1.5
1.0
1.0
1.0
1.0
0.0
1.0
1.0
0 .0
2.0
0.0
1.0
1.0
1.0
2.0
1.5
0.0
0.0
0.0
0.0
0.0
1.5
1.0
1.0
0.0
0 .0
0.0
0.0
0 .0
Occupancy
Heat
Type
#of
Beds
1
1
1
1
1
1
1
1
2
2
2
3
2
3
I
2
1
3
2
1
4
4
0
3
1
1
1
1
1
1
1
2
2
2
2
2
2
2
3
2
3
3
2
3
3
1
1
4
2
3
3
1
2
5
0
1
1
1
1
1
2
2
2
2
0
3
3
3
3
1
1
1
2
2
2
3
4
3.
103
#of
Baths
1.0
1.0
1.0
1.0
1.0
1.0
2.0
1.0
0.0
1.0
2.0
2.5
1.0
2.5
1.0
2.0
0.0
1.0
1.0
0.0
2.5
0.0
0.0
2.0
1.0
2.5
2.0
0.0
0.0
0.0
0.0
0.0
2.0
1.0
1.5
0.0
0.0
0 .0
0.0
0.0
Total
Rooms
Year
Built
3
6
1939
1930
1967
1935
1900
1939
1939
1950
5
3
6
6
1
3
5
5
7
6
6
4
5
4
1970
1980
1800
1978
1970
1972
1984
5
1986
1986
12
1904
1
7
6
7
5
1983
1790
1800
1975
1987
6
6
6
1984
1920
1973
1st
Floor
0.5
0.9
1.0
0.7
1.0
0 .7
0.8
0.9
0 .0
1.1
1.4
2.1
1.0
1.7
1.1
1.7
0.0
1.2
1.0
0.0
1.7
0.0
0 .2
1.9
1.0
1.3
0.9
0.0
0.0
0.0
0.0
0.0
1.1
1.1
1.2
0.0
0.0
0.0
0.0
0.0
Frontage
100
1300
350
50
200
250
100
226
74
460
300
0
673
70
1000
1255
680
220
200
3900
390
1190
304
1300
360
800
0
0
0
0
3000
1210
315
1250
550
324
150
Wetlands
Watershed
Map
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
Lot
3
4
5
6
7
7B
7C
7D
7E
7F
7G
8
9
IO
I2
I3
15
ISA
19
20
20A
20Al
21
22
22A
22A
22B
22C
220
22E
22F
23
24
24A
25
26
26
26A
27
28
Bldg.
Value
Land
Value
Acres
0.0
0.0
I83.9
62.2
0.0
82.2
88 .8
70.1
71.4
91.7
67 .2
72 .6
9.7
68.3
I69 .2
0 .0
31.8
23 .7
0.0
4.8
0.0
IOS.4
63 .3
3.5
109.6
0.0
73 .6
25.4
37.9
67.4
71.3
74.8
52.6
56 .2
53.4
54.3
54 .6
53 .0
53 .6
52.9
I23 .2
68 .9
77.0
64 .1
91.6
59 .0
61.4
68.8
44 .0
53 .0
43.8
48.4
3.0
31.0
22.8
28 .3
I0.6
7.4
6.1
6.3
7.0
5.7
5.2
142.8
I4.0
40.0
26 .0
60.7
16.0
24.0
32.5
4.6
5.2
2.9
7.5
52.5
5.5
0.0
54 .7
52.2
52.7
52.9
56.1
59 .4
65.8
27.1
8.4
0.0
69 .6
53 .9
52.6
37 .9
0.0
6.4
5.2
5.0
5.2
7.3
99 .5
96 .0
94.3
124.1
I65 .8
0.0
0.0
76.9
128.4
75.8
98 .4
83 .9
Land
Zoning
Use
5.5
9.5
13.0
32 .0
5 .6
0 .0
30.0
9.2
5.0
1.5
I3
I3
I
I
I3
I
I
1
1
1
1
1
9
6
I
13
1
12
I3
I3
13
1
I
13
1
I
1
1
I
1
1
1
2
13
13
5
1
1
1
1.
I
I
1
I
I
I
1
I
1
1
I
1
1
I
I
I
I
I
1
I
1
I
I
I
I
1
I
I
I
1
I
I
I
1
1
1
1
1
I
1
Bldg .
Grade
7
3
3
3
3
3
3
3
3
4
4
3
4
3
4
1
3
2
3
3
3
4
4
#of
Stories
0.0
0.0
2.0
1.0
0.0
1.5
2 .0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
1.5
0.0
1.0
0.0
0.0
0.0
0.0
2.0
1.0
0.0
1.0
1.0
1.0
1.0
1.5
1.0
1.5
1.0
2.0
0.0
0.0
0.0
5
1.5
3
4
4
1.0
2.0
1.0
Occupancy
Heat
Type
#of
Beds
3
2
I
I
2
2
1
1
1
1
1
1
I
2
2
2
3
2
2
2
4
3
3
3
2
1
I
2
1
5
1
1
2
3
5
2
1
1
2
2
3
3
I
1
I
I
1
1
1
1
3
2
2
I
3
3
3
3
5
2
4
2
4
4
2
3
2
2
1
1
1
1
1
3
2
I
2
2
104
5
3
2
3
3
#of
Baths
0 .0
0.0
2.0
1.0
0.0
1.5
1.5
1.5
2.0
1.0
1.0
2.0
0.0
1.0
1.0
0.0
1.0
0.0
0.0
0.0
0 .0
2.0
1.5
0.0
2.0
1.0
1.5
1.0
2.0
1.0
2.0
2.5
5.0
0.0
0.0
0.0
2.5
1.0
2.0
1.5
Total
Rooms
8
5
Year
Built
I820
I939
5
5
1968
I974
1970
1986
1977
1988
1986
6
10
1840
1840
4
1950
6
9
7
8
2
6
6
I979
1966
7
1979
1972
1973
I900
1977
1976
1980
I959
1850
5
5
3
5
6
6
7
13
10
6
7
5
1986
1780
1987
1972
1945
Ist
Floor
0.0
0.0
1.4
1.0
0.0
1.6
1.1
1.0
1.0
1.5
1.0
0.9
0.0
1.5
1.9
0.0
0.4
0.0
0.0
0.0
0.0
1.0
1.2
0 .0
1.2
0 .8
1.1
0 .6
1.1
1.7
1.2
1.8
3.2
0 .0
0 .0
1.9
1.0
1.0
1.1
1.2
Frontage
360
775
1125
620
457
456
325
400
1210
300
300
275
4400
I700
2700
2400
760
1150
I200
250
339
730
400
339
365
300
300
300
663
350
0
0
1600
475
165
Wetlands
Watershed
__,
Map
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
Lot
28A
28B
28C
280
28F
29
30
31
32
33
34
34A
34B
35
36
37
38
40
40A
40B
40C
42
43
44
45
46
46A
47
48
48A
49
50
51
51A
51Al
52
52A
53
53A
53B
Bldg.
Value
113.2
97.3
106.2
105 .6
0 .0
113 .0
82.8
131.8
99 .8
96 .9
106.6
122.0
75 .7
82.0
0 .0
0.0
87.0
113 .3
82. l
112.0
78 .8
83 .3
97.7
69.6
5.5
80.6
83 .8
78 .8
67.8
82.9
0 .0
74.9
99 .5
103 .2
89 .5
0 .0
0 .0
63 .1
0 .0
76.6
Land
Value
53.7
52.7
52.3
52.l
57 .0
45 .3
52.2
66.6
52.6
39 .9
59.4
67.3
54.l
40.l
69 .1
10.5
53 .8
52.1
52.5
56 .4
52.3
41.l
54.9
52.1
40.2
56 .l
53 .1
47.2
64.3
53 .4
51.l
50.0
52.6
52.4
52.4
52.2
73.1
75 .0
54.0
52.2
Acres
5.7
5.1
4.8
4.7
13 .7
3.2
4.7
15 .0
5.0
l.9
9.5
16.5
6.0
2.0
33 .0
4 .0
9.0
4.7
4.9
7.5
4.8
2.3
6.5
4.6
2.1
7.3
5.3
3.6
56 .3
5.5
36.0
4.3
5.0
4.9
4.9
10.3
41.7
29 .5
11.5
4.8
Land
Use
1
1
1
1
13
1
l
1
1
1
1
1
1
1
13
15
1
1
1
l
1
l
1
1
1
1
1
1
12
1
15
1
1
1
1
13
13
l
13
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
l
1
1
l
l
1
l
1
1
1
1
1
1
1
1
1
l
1
1
1
1
1
1
1
Bldg.
Grade
4
4
3
4
4
3
4
3
3
4
4
3
2
3
3
4
3
4
3
3
3
4
5
3
2
3
3
4
4
4
3
3
#of
Stories
1.5
2 .0
1.0
2.0
0 .0
1.0
2.0
2.0
2.0
l.O
1.5
1.5
l.O
1.0
0.0
0.0
1.0
1.0
l.O
1.0
l.O
l.O
1.0
l.O
0.0
1.0
1.5
l.O
0.0
l.O
0.0
1.5
l.5
2.0
1.5
0.0
0.0
1.0
0.0
l.5
Occupancy
Heat
Type
#of
Beds
1
1
1
l
4
4
2
2
3
2
4
3
1
1
1
l
1
1
1
l
1
2
2
2
2
2
2
4
2
2
3
3
4
2
4
4
3
2
1
1
l
2
1
l
l
1
2
2
2
2
2
2
2
2
2
2
2
2
l
3
4
3
1
1
1
2
4
2
2
2
3
1
2
3
1
1
1
1
2
2
2
4
4
3
4
3
5
1
2
2
1
2
2
105
#of
Baths
2.0
2.0
2.5
2.0
0.0
2.5
1.0
2.5
l.5
2.0
2.0
2.5
l.O
l.O
0.0
0.0
2.5
2.5
l.O
3.0
l.O
2.0
2.0
1.0
0.0
l.O
2.0
l.O
0.0
1.0
0.0
2.0
2.0
2.0
1.5
0.0
0.0
1.0
0.0
2.0
Total
Rooms
Year
Built
9
7
7
1979
1976
1976
1977
5
7
6
8
5
9
1
8
6
6
5
5
4
5
4
6
9
7
4
1967
1968
1987
1979
1700
1749
1974
1975
1920
1977
1970
1986
1981
1983
1972
1975
1959
6
1965
1988
1961
1969
1981
9
10
8
6
1750
1816
1987
1979
5
6
5
1959
6
1980
1st
Floor
1.4
1.1
1.4
1.1
0.0
1.6
0.9
1.1
1.5
1.3
1.5
l.l
l.l
0.9
0.0
0.0
l.7
1.8
l.l
l.2
0 .9
1.5
1.5
l.3
0.0
0.9
0.9
1.4
3.1
1.3
0.0
1.3
1.6
0.8
1.0
0.0
0.0
l.l
0.0
0 .9
Frontage
475
300
300
300
301
500
230
180
300
364
540
300
250
50
400
300
500
300
582
350
400
200
400
265
509
300
400
2200
300
2000
980
340
650
550
900
450
700
400
Wetlands
Watershed
.,,
Map
s
s
s
s
s
s
s
s
s
s
s
s
s
s
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
Lot
S3C
S4
SS
S6
S7
S7A
S7B
SS
60
61
64
6S
6SA
66
I
2
3
3A
4
4A
SA
SB
6
7
s
SA
SB
SC
9
10
11
llA
llB
llBl
12
14
14A
IS
16
17
Bldg.
Value
Land
Value
Acres
0.0
0.0
7.9
0.0
0.0
0.0
0.0
73 .S
72.2
l.S
67.7
0.0
0.0
33.S
3S .O
63 .S
0.0
S6 .S
72.S
101 .0
60.3
102.4
92.7
101.5
132.4
0.0
0.0
S3.S
SS .4
66 .0
0.0
SS .6
127.2
0.0
S7.S
101.5
0.0
69.6
91.9
9S .l
S2.l
10.0
6S .O
S7.S
96.S 104.0
2.0
7.9
47.3
6.S
49.7
S.4
44.1
6.S
42.2
2.4
3S .3
1.6
11.S
0.1
S2.6
s.o
46 .1
6.0
46 .1
6.0
36.6
1.0
74.4
2S .O
3S .S
1.6
13 .0
S6 .0
S2.6
s.o
4S.S
4.0
S2.S
4.9
S2.6
s.o
S2.6
s.o
130.7 143 .2
2.1
40.4
72.2
27.S
S0 .6
9.0
S9.2
16.3
16.I
67.0
S4.l
6.0
37.S
1.4
4S .O
S.3
S4.7
6.4
6.0
S4.l
4S.l
S.3
67.0
16.0
71.6
SS .7
10.1
4.7
66 .9
IS .S
S2.6
s.o
6.S
S4.9
Land
Zoning
Use
13
13
13
13
13
13
13
1
1
1
1
13
13
1
I
1
13
1
1
1
I
I
1
1
1
13
13
1
1
1
13
1
1
13
1
2
IS
1
1
1
1
I
1
1
1
1
1
1
1
1
1
I
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
2
2
3
3
3
4
3
3
s
s
4
3
3
3
3
s
3
s
3
s
6
II of
Stories
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
2.0
0.0
2.0
0.0
0.0
1.0
1.0
1.0
0.0
1.5
1.0
1.5
1.0
l.S
l.S
2.0
2.0
0.0
0.0
1.0
1.5
1.0
0.0
2.0
2.0
0.0
1.5
1.0
0.0
1.0
1.0
1.0
Occupancy
Heat
Type
II of
Beds
1
1
3
2
3
3
2
2
2
I
I
1
3
3
2
3
1
4
1
1
1
1
I
1
1
1
2
2
2
3
3
2
2
2
3
3
3
I
3
2
3
3
1
1
1
2
2
2
3
3
3
1
1
2
2
3
3
1
2
2
2
s
1
1
1
2
2
2
2
I
1
106
1
II of
Baths
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
l.S
0.0
2.0
0.0
0.0
1.0
1.0
1.0
0.0
1.0
1.0
2.0
1.0
2.0
1.0
1.5
2.S
0.0
0.0
2.0
1.0
1.0
0.0
l.S
l.S
0.0
1.0
2.0
0.0
1.0
2.0
1.0
Total
Rooms
s
Year
Built
7
19S9
1930
6
1939
1st
Floor
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
o.s
0.0
4
4
6
6
s
s
4
7
7
s
7
7
7
s
s
6
s
14
s
4
6
1946
19S6
19S6
1900
1970
1974
19S6
19S4
17SS
192S
19S9
1976
1900
1963
1974
19S3
1930
lSSO
1930
19SS
1790
Frontage
300
1100
1320
100
soo
300
400
40
o.s
soo
0.0
0.0
0.9
0.6
1.2
0.0
0.7
1.1
1.2
3SS
3SS
214
1S7
ISO
3SO
300
300
300
300
300
1400
476
40S
461
303
303
o.s
1.4
1.1
o.s
1.2
0.0
0.0
l.S
1.1
0.9
0.0
1.0
1.0
0.0
0.7
1.9
0.0
1.1
1.0
1.2
Wetlands
soo
72
300
329
463
4SS
396
3SS
237
so
3SS
400
-
1
Watershed
Map
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
Lot
17A
17B
17C
170
17F
17G
18
18A
19
20
21
22
23
24
25
26
27
28
29
30
30B
30C
31
32A
32B
32C
320
33
33A
34
34
34
35
36
36A
37
37A
37B
37Bl
37B2
Bldg.
Value
91.1
101.1
125 .3
0.0
132.6
120.5
82.l
0.0
81.5
147.6
72.0
165.5
66.4
0.0
74 .3
143.4
0.0
ll l.l
76.6
102.7
0.0
0.0
50.6
0.0
0.0
56 .7
101.5
0.0
0.0
46 .1
85.4
0.0
0.0
0.0
85 .1
77 .2
0.0
0.0
130.7
142.7
Land
Value
Acres
57.6
8.3
57. l
8.0
54.3
6.1
60.4
18.3
52.6
5.0
54.0
5.9
60.8
10.7
11.4
7.6
38.8
1.7
79 .2
40 .0
71.6
25 .0
40.l
2.0
27.9
0.5
63 .9
24.0
79 .0
36.5
26 .0
71.1
2058 .0 196.0
37.9
1.5
82.0
101.1
86 .8
50.8
9.7
1.6
21.3
3.6
55 .0
6.6
2.9
0.5
74.2
42.5
54.2
6.0
58 .8
9.2
113 .6 121.7
149.4
0.0
0.0
0.0
143.7
68 .0
0.0
0.0
10332. 984.0
48 .8
7.8
53 .8
5.8
53 .0
5.2
44.6
5.0
47.7
7.1
54.6
6.4
54.2
6.0
Land
Zoning
Use
l
l
l
13
1
1
l
13
l
l
1
l
l
13
l
l
10
l
l
l
10
10
l
10
13
l
l
13
10
7
1
1
10
13
1
1
13
13
1
1
l
l
l
l
1
l
l
l
l
1
1
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
4
4
4
5
4
3
3
6
3
6
3
3
6
5
5
4
2
2
3
1
3
2
3
3
5
5
II of
Stories
2.0
1.5
2.0
0.0
1.5
2.0
1.0
0.0
1.5
1.0
1.0
2.0
1.0
0.0
1.5
1.5
0.0
1.5
1.0
2.0
0.0
0.0
1.0
0.0
0.0
1.0
1.0
0.0
0.0
0.0
1.0
1.0
0.0
0.0
2.0
1.5
0.0
0.0
2.0
2.0
Occupancy
Heat
Type
II of
l
l
l
2
2
2
3
3
3
l
l
l
2
2
2
3
3
3
l
1
l
l
l
2
2
2
2
2
4
5
4
5
3
l
l
4
2
2
3
l
l
l
2
2
2
3
2
4
l
l
2
l
l
l
2
3
4
1
1
2
2
2
3
2
Beds
1
1
2
2
3
4
1
1
2
2
3
4
107
II of
Baths
1.5
2.0
2.0
0.0
2.0
2.5
1.0
0.0
1.5
2.0
1.0
3.0
1.5
0.0
2.0
2.5
0.0
2.0
1.5
2.0
0.0
0.0
1.0
0.0
0.0
1.0
2.0
0.0
0.0
0.0
1.0
1.0
0.0
0.0
2.0
1.0
0.0
0.0
2.5
2.5
Total
Rooms
Year
Built
1st
Floor
6
6
8
1976
1975
1976
7
8
5
1989
1978
1977
6
10
7
12
5
1930
1770
1860
1880
1968
5
8
1983
1730
7
7
8
1978
1800
1800
5
1970
3
7
1983
1978
5
6
1950
1944
1940
0.9
1.1
1.6
0.0
1.2
1.1
1.2
0.0
0.9
1.7
1.3
1.6
1.1
0.0
0.9
1.7
0.0
1.4
1.1
1.1
0.0
0.0
1.0
0.0
0.0
0.9
1.8
0.0
0.0
4.0
0.8
0.6
0.0
0.0
1.1
1.2
0.0
0.0
0.9
1.2
6
6
1900
1939
7
8
1986
1987
Frontage
531
300
300
1080
320
326
349
247
1400
700
625
100
2000
0
405
3800
250
2400
0
Wetlands
Water-
l
l
l
l
1
l
l
l
l
l
1
l
1
l
l
l
l
l
l
l
l
l
l
l
l
l
l
1
l
l
l
l
l
1
1
1
1
1
1
1
1
1
1
1
1
1
1
l
1
l
l
l
l
492
36
300
418
243
l
0
2850
50
550
483
293
300
305
395
1
1
shed
....
Map
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
IO
10
10
10
10
10
10
10
10
10
10
10
IO
10
10
10
10
10
10
10
10
10
IO
Lot
1
2
4
5
6
7
8
9
9A
10
11
llA
12
12A
13
13A
14
15
15
16
17
18
19
20
21
21
22A
23
24
24
25
25A
25B
26
26A
27
27A
28
28A
29
Bldg.
Value
Land
Value
Acres
55.9
82.5
64 .3
0.0
2.7
0.0
0.0
0.0
0.0
63 .7
106.7
0.0
0.0
81.0
119.9
91.8
61.6
0.0
130.1
42.2
26.4
48.6
0.0
73.4
53.8
59.2
67 .5
77 .3
26.6
9.5
0.0
56.2
137.3
78 .5
180.3
0.0
75 .3
0.0
0.0
40.2
36.3
42.5
29 .4
2.3
17.0
16.7
5.5
11.5
0 .5
64.0
68 .1
0.8
87.1
57.4
53.5
51.3
44.4
0.0
53 .8
58.1
43.9
53.4
49 .1
66 .7
0.1
67.5
44.6
37.9
10.3
10.3
61.7
54.9
74.3
45 .2
60.8
23 .9
54.6
53 .1
52.9
83 .6
1.0
2.5
0.3
0.2
0.2
0.4
0 .5
0 .5
0.1
12.5
20.0
0.5
67.3
8.2
5.6
5.5
2.9
0.0
5.8
8.7
2.9
5 .5
8.0
12.0
0.0
5.6
5 .0
1.5
0.2
0.3
23 .2
0.8
10.1
5.4
1.5
41.0
16.0
20.0
20.2
115.0
Land
Zoning
Use
1
1
1
13
1
13
13
14
13
1
1
15
13
1
1
1
1
1
1
1
1
1
13
6
1
6
1
1
1
5
14
6
6
1
6
15
1
13
13
12
1
1
1
1
1
1
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4
4
1
4
4
4
4
4
4
4
4
1
4
4
4
1
Bldg.
Grade
3
3
3
1
3
4
3
4
4
3
3
3
2
2
3
3
3
3
3
3
2
1
2
2
3
2
3
2
II of
Stories
1.0
1.5
1.0
0.0
1.0
0.0
0.0
0.0
0.0
1.0
1.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
1.0
0.0
2.0
1.0
1.0
0.0
0.0
0.0
0.0
1.0
0.0
0.0
1.0
0.0
0.0
1.0
Heat
Type
II of
Beds
1
1
1
2
3
3
3
3
3
1
1
1
1
1
2
2
2
1
1
1
1
1
0
1
1
1
1
2
2
2
2
2
2
2
2
2
3
3
3
3
2
3
2
1
2
1
1
4
2
2
2
2
2
2
0
3
Occupancy
1
1
1
1
2
2
2
2
1
2
1
1
108
3
1
2
3
3
II of
Baths
1.0
3.0
1.0
0.0
1.0
0.0
0.0
0.0
0.0
1.0
1.0
0.0
0.0
1.0
2.0
2.0
1.0
0.0
1.5
1.0
1.0
1.0
0.0
0.0
1.0
0.0
1.0
1.0
1.0
0.0
0.0
0.0
0.0
1.5
0.0
0.0
1.0
0.0
0.0
1.0
Total
Rooms
Year
Built
5
5
5
1967
1949
1968
2
1950
6
4
1865
1977
5
7
6
4
4
9
4
2
3
1975
1986
1988
1976
1940
1972
1955
1940
1974
6
6
5
4
5
1989
1965
1940
1930
1950
1875
1900
1945
1935
1966
1974
6
1956
3
1960
1st
Floor
0.9
1.4
1.0
0.0
0.8
0.0
0.0
0.0
0.0
1.0
1.4
0.0
0.0
1.1
1.3
1.0
1.0
1.1
2.1
1.1
0.6
0.7
0.0
1.5
1.3
2.2
0.8
1.2
0.6
0.8
0.0
1.4
4.2
1.2
5.1
0.0
1.3
0.0
0.0
1.3
Frontage
660
543
281
101
267
122
250
160
600
222
434
1157
520
300
300
172
340
510
170
300
750
1425
301
0
157
1250
469
200
0
22
1229
300
IOOO
Wetlands
Watershed
Map
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
Lot
30
31
31
31
32
33
34
35
35A
36
37
37
37
37A
38
38
40
41
41
42
43
43A
43B
43C
430
43E
43F
43G
43H
44
45
45A
46
47
48
49
50
51
52
53
Bldg .
Value
94 .8
99 .9
0.0
0.0
50.6
93 .9
20.9
0.0
0.0
147.7
180.7
0.0
0.0
39.2
0.0
57.7
0.0
52.8
28 .5
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
99.1
90.8
0.0
89.4
27 .7
89 .0
65 .9
72 .6
34.4
46 .0
108.5
Land
Acres
Value
44.8
44.3
0.0
0.0
52.9
66 . l
45.2
49.3
76 .8
68 .6
68 .5
0.0
0.0
60 .4
0.0
72.2
79.4
58.2
0.0
2.4
48.5
51.2
50.5
50.5
50.5
50 .5
50.5
50.5
50.2
34.0
78 .7
23 .0
50.5
33 .2
44 .2
81.0
53.8
38.6
61.2
80.9
6.5
4.4
0.0
0.0
0.6
4.6
5.4
14.0
105 .0
11.0
6.1
0.0
0.0
1.9
0.0
49 .0
54.0
8.7
0.0
0.3
7.6
2.1
2.0
2.0
2.0
2.0
2.0
2.0
1.8
2.0
56 .5
29.5
13 .0
1.7
2.9
40.0
9.0
1.6
10.9
41.0
Land
Use
1
1
1
1
6
6
1
13
13
6
6
6
6
5
I
I
13
1
5
13
13
14
14
14
14
14
14
14
14
I
2
13
1
1
1
1
1
2
1
6
Zoning
1
4
4
4
4
4
4
4
1
4
4
4
4
4
4
4
Bldg .
Grade
4
3
3
3
3
3
3
3
5
3
3
3
1
2
I
1
1
3
2
I
1
4
4
4
4
4
4
4
4
4
4
1
4
4
1
1
1
1
1
1
4
3
3
2
3
3
3
2
3
3
# of
Stories
2.0
1.0
1.0
1.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
1.0
0.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.5
1.0
0.0
1.0
1.0
2.0
1.0
1.5
1.0
1.0
0.0
Occupancy
Heat
Type
#of
Beds
1
1
1
1
0
2
3
3
2
3
2
2
2
1
1
2
1
2
2
2
2
3
3
3
1
2
1
1
I
1
1
1
I
1
1
1
1
1
1
1
I
1
3
2
2
4
3
2
3
2
2
2
2
2
2
4
2
4
2
2
2
1
109
#of
Baths
1.5
1.0
1.0
1.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
1.0
0.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.5
2.0
0.0
1.5
1.0
2.0
1.0
1.0
1.0
1.0
0.0
Total
Rooms
Year
Built
6
5
3
3
1988
1936
1947
1947
1950
1982
1822
4
5
3
1965
1806
1950
1950
1960
1959
1945
5
4
1900
1900
5
6
7
1948
1944
6
4
8
5
5
4
4
1948
1900
1940
1925
1910
1900
1900
1925
1st
Floor
0.7
0.9
0.5
0.6
0.8
1.4
1.1
0.0
0.0
3.0
0.9
1.6
1.0
1.1
0.6
0.9
0.0
1.1
0.4
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.7
1.8
0.0
1.2
0.7
1.0
0.9
1.6
0.8
0.8
3.9
Frontage
Wetlands
Water-
1
1
1
1
1
1
1
1
1
shed
0
17
303
300
630
700
1500
3547
500
I
1
1
1
1
1
1
1
1
1275
575
1250
50
494
226
226
225
225
225
225
225
212
228
1300
0
1200
560
442
274
361
244
650
2391
1
1
1
1
1
1
1
1
1
1
1
1
Map
Lot
Bldg.
Value
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
IO
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
54
0.0
59.7
60.0
0.0
0.0
116.l
0.0
21.8
60.2
102.5
117.0
106.4
138 .9
0.0
0 .0
42 .9
0.0
0.0
0.0
0.0
0.0
0.0
0.0
74.9
80 .5
0.0
61.6
0.0
0 .0
0 .0
62.6
0.0
139.0
74.7
92.8
72.9
0.0
161.3
5.2
21.3
55
56
57
58
59
59
60
60
60A
61
61A
62
63
64
64A
64B
64C
640
65
66
67
68
69
70
71
71A
72
73
73A
73B
73C
74
74A
75
76
78
78
79
81
Land
Value
Acres
Land
Use
76 .7
48 .0
77.6
2.6
47.5
73.8
0.0
0 .0
47.0
3.8
39 .0
1.8
14.0
27.0
0.0
0.0
20.2
4.7
20.3
13
l
l
15
13
l
l
15
l
l
l
l
l
13
13
l
13
13
13
15
15
13
15
1
l
13
l
13
13
13
1
13
l
l
l
l
6
6
l
6
69.5
52.l
69 .6
53 .2
56.4
44.l
58.6
54.9
46 .2
45 .8
44.4
0.4
7 .8
92 .8
25 .0
37.9
48 .8
59 .4
52.l
65 .0
54.6
58.7
63 .0
54.7
80.6
53.8
66.0
35 .3
0.0
64.2
37.8
59 .7
5.4
7.5
4.6
15.5
6.5
6.0
5 .8
4 .9
0.3
5.2
80.2
0.5
1.5
4.0
18 .3
4 .7
26.0
12.0
22.7
12.3
12.l
39.4
5 .8
18.4
0.9
0 .0
4.3
3. 1
3.7
Zoning
l
l
l
l
l
l
l
l
l
l
l
l
l
I
l
l
l
I
1
1
l
1
1
l
l
l
l
l
l
l
l
l
l
l
l
l
l
4
4
4
Bldg.
Grade
3
3
# of
Stories
0.0
1.0
1.5
Occupancy
Heat
Type
#of
Beds
l
l
2
2
2
4
l
l
l
l
l
l
l
l
2
l
2
2
2
4
2
2
3
2
l
4
4
3
3
l
l
2
3
0.0
0.0
3
2
l
3
4
4
4
4
4
3
3
3
3
4
3
5
3
3
3
l
3
1.5
l.5
1.0
1.0
2.0
2.0
2.0
1.0
0.0
0.0
2.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
0.0
1.5
0.0
0.0
0.0
1.0
0.0
1.0
1.0
1.5
1.0
0.0
1.0
1.0
0.0
1
1
2
2
3
3
1
2
2
I
2
2
I
l
1
1
1
l
l
l
2
2
3
2
2
2
2
2
3
3
2
2
110
2
2
#of
Baths
0.0
1.0
1.0
0.0
0.0
1.0
1.0
1.0
1.0
2.0
2.5
2.5
2.5
0.0
0.0
2 .0
0 .0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
0.0
1.0
0.0
0.0
0.0
1.0
0.0
2.0
1.5
1.5
1.0
0 .0
1.0
1.0
0.0
Total
Rooms
Year
Built
4
7
1966
1900
7
6
1930
1930
1935
1942
1975
1988
1988
1987
6
1989
5
3
6
6
2
5
5
1979
1950
6
1920
4
1988
8
1988
1962
1984
1988
1988
1969
1970
1945
6
5
4
3
4
4
lst
Floor
0.0
1.0
l.l
0 .0
0.0
0.9
0.8
0.7
0.8
l.l
1.2
1.2
1.3
0.0
0.0
1.0
0.0
0.0
0.0
0 .0
0 .0
0.0
0 .0
0.9
1.6
0.0
0.9
0.0
0.0
0.0
l.l
0.0
1.3
1.6
1.0
0 .9
3.5
0.9
0.8
4.0
Frontage
442
330
1700
0
640
2632
449
300
760
958
231
2025
0
0
0
0
324
208
392
392
2128
300
483
303
304
2950
818
880
100
284
400
Wetlands
Watershed
_,
Map
Lot
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
81
82
82A
82B
83
84
85
86
87
88
88
88
88B
88C
89
90
91
93
94
95
l
2
3
4
4A
5
SA
6
6A
7
9
10
11
12
13
15
16
17
18
19
Bldg.
Value
23 .l
0.0
36 .7
0.0
0.0
0.0
59.3
112.2
0.0
54.1
203 .5
0.0
0.0
0.0
88 .9
73.0
0.0
0.0
0.0
0.0
18.7
163 .7
0.0
91.4
93 .7
75 .2
54.9
0.0
80.7
226 .8
58 .0
0.0
10.7
84.8
107.6
0 .0
89 .6
17.8
53 .9
72 .8
Land
Value
0.0
60.2
53 .5
44.1
58.2
54.3
62.0
62.3
79 .5
45 . l
61.0
0.0
59 .5
91.6
53.4
57 . I
41.8
16.1
8.3
59 .2
68 .2
68 .8
7.5
73 .2
52.6
64.6
64.0
72.0
60.1
86 .5
53 .9
56 .4
24.5
71.9
62 .6
45 .4
62.6
56 .4
31.6
47.5
Acres
0.0
27.5
5 .6
4.6
24.5
24.8
1.1
1.0
31.0
8.2
4.8
0 .0
18.0
76 .9
5.5
8.0
4.0
14.8
5.5
18.4
18.0
19.0
5.0
26 .0
5 .0
13.0
13.0
40 .8
10.0
50.0
8.3
13 .3
17.0
25.6
15 .0
5.5
13.4
7.5
0.6
6.9
Land
Use
5
13
l
13
13
13
6
6
14
2
6
6
13
13
l
l
13
15
15
13
1
2
13
l
l
l
l
13
l
l
l
13
l
l
l
13
l
l
l
l
Zoning
4
4
l
1
4
4
4
4
4
4
l
l
1
1
l
1
1
l
l
l
1
l
l
l
1
l
l
1
l
1
l
l
l
l
1
l
1
l
l
4
Bldg.
Grade
1
3
3
3
3
2
3
3
3
6
6
3
3
3
3
2
7
2
3
4
4
3
l
3
3
#of
Stories
0.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
0.0
0.0
0.0
1.0
1.0
0.0
0.0
0.0
0.0
1.5
1.5
0.0
1.0
1.0
1.5
1.0
0.0
1.0
2 .0
1.0
0.0
1.0
1.0
1.5
0.0
1.0
1.0
1.0
1.0
Occupancy
Heat
Type
#of
Beds
2
l
2
l
3
2
2
2
3
3
2
3
1
l
4
2
3
2
l
l
2
2
2
3
l
l
l
l
2
2
4
2
3
3
3
l
1
l
1
l
2
4
3
4
l
l
1
l
2
l
2
3
2
3
1
1
1
l
2
3
2
2
3
2
l
2
111
#of
Baths
0.0
0.0
2.0
0.0
0.0
0 .0
0 .0
0 .0
0.0
2.0
0.0
0.0
0.0
0.0
1.5
1.0
0.0
0.0
0.0
0.0
2 .0
2 .0
0.0
2 .0
1.0
2.0
1.0
0.0
2.0
3.5
1.0
0 .0
1.0
2.0
1.5
0.0
2.0
1.0
1.0
1.5
Total
Rooms
Year
Built
1955
7
1989
1945
1960
6
1930
1950
1950
5
1980
1925
6
5
6
1800
1850
6
8
4
3
1987
1965
1987
1880
6
10
1980
1980
1972
5
6
6
1986
1850
1967
6
4
3
6
1971
1930
1935
1960
5
1st
Floor
0.8
0 .0
1.1
0.0
0.0
0.0
1.3
2.0
0.0
1.0
2.3
3 .9
0 .0
0.0
1.1
0.9
0.0
0.0
0.0
0.0
1.6
1.3
0.0
1.4
1.5
1.1
0.9
0.0
1.5
2.0
1.2
0 .0
0 .9
1.4
1.0
0.0
1.4
0.8
0.8
1.2
Frontage
800
653
312
210
210
1200
1070
500
484
80
0
0
20
1150
1043
246
1400
300
475
696
1000
1328
3667
267
1013
1950
2198
600
350
520
400
130
1597
Wetlands
Watershed
_.,
Map
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Lot
19A
19B
19B
20
21
21A
21B
22
22A
22Al
23
24
25
27
27
28
29
29A
30
31
32
33
34
35
35A
36
37
37B
38
39
40
41
41A
41B
41C
41D
41E
42
42B
43
Bldg.
Value
95 .5
0 .0
199.0
50.7
0 .0
69.4
44 .5
80.l
0.0
90.6
66 . l
79 .9
88.9
83.9
0 .0
106.6
0.0
0.0
109.8
93 . l
114.2
83 .9
11.7
71.8
105 .9
83.4
107.8
118.0
69 .3
73 .l
69 .8
102.8
0.0
102.l
80.2
0.0
95 .4
0.0
5.0
96 .7
Land
Value
48 .6
0.0
61.1
76.4
39 .8
25 .l
25 .0
47.5
49 .6
53.4
37.9
37. l
69 .9
68 .0
0 .0
59 .1
54.7
54.7
59 .l
64.1
60.7
57.9
46.7
52.6
62.6
78.4
70.8
66 .5
53 .1
52.3
48 .8
54.0
54.6
62 .6
59 .3
55 .6
58 .2
47 .9
52.1
42.5
Acres
7.7
0 .0
1.3
11.5
5.8
0.5
0.5
6 .9
8.4
5.5
1.4
1.2
21.3
18.2
0 .0
9.3
12.0
12.0
9.3
13 .1
10.6
10.5
6.4
5.0
12.0
35 .0
22.1
15 .0
5.3
4.8
4.0
6 .0
12.0
12.0
9 .5
16.6
8.7
7.0
4.6
2.5
Land
Use
1
6
6
6
13
l
l
1
13
l
l
l
6
1
l
l
13
13
1
l
l
l
12
1
1
1
9
1
1
l
l
l
13
l
l
13
1
13
l
l
Zoning
1
1
1
4
1
4
4
4
l
4
4
l
l
1
1
l
1
1
l
1
l
l
1
l
l
1
l
1
1
1
l
l
l
l
l
I
1
1
1
1
Bldg.
Grade
3
3
3
3
3
2
3
3
3
3
2
4
3
3
5
3
4
3
3
4
4
3
3
3
3
5
3
3
4
4
II of
Stories
1.0
0.0
0.0
0.0
0.0
1.0
2.0
1.0
0.0
1.0
1.0
1.0
0.0
1.5
1.0
1.0
0.0
0.0
1.5
1.0
1.0
1.0
0.0
1.0
1.5
0.0
1.5
1.0
1.5
1.0
1.0
1.0
0.0
2.0
1.0
0.0
2.0
0.0
0.0
2.0
Heat
Type
II of
Beds
2
2
2
2
2
l
l
1
2
2
2
2
3
l
l
1
l
2
2
1
1
l
2
2
2
3
2
2
2
l
1
1
1
2
2
2
2
3
3
2
3
l
1
2
2
3
3
1
1
1
1
1
l
2
2
4
2
2
2
1
3
2
3
3
3
l
l
4
2
3
2
l
2
3
1
2
3
Occupancy
1
1
112
5
2
2
3
II of
Baths
3.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
0.0
1.0
1.0
1.0
0.0
2.0
1.0
2.0
0.0
0.0
3.0
2.0
2.0
1.0
0.0
1.0
2.0
0.0
2.0
2.0
2.0
1.0
1.0
2.0
0.0
2.0
1.5
0.0
2.0
0.0
0.0
2 .0
Total
Rooms
Year
Built
lat
Floor
5
1976
1910
1965
1920
1.0
2.4
2.8
1.2
0 .0
1.0
0.9
1.4
0.0
1.3
1.7
1.1
3.9
1.3
0.6
1.6
0.0
0.0
1.4
1.4
1.5
1.0
0.0
1.1
1.1
0.0
0.8
2.2
0.9
1.1
1.2
1.3
0.0
1.1
1.4
0.0
1.0
0.0
0.0
0.8
4
6
6
1937
1940
1950
4
8
6
1953
1925
1945
1968
1800
1970
1976
6
4
7
8
7
1964
1972
1976
1968
6
7
1977
1975
3
7
6
6
7
1986
1975
1974
1965
1972
1790
7
6
1983
1983
6
1987
5
1976
7
5
5
Frontage
500
15
150
112
Wetlands
1
550
738
945
250
200
30
500
800
367
367
350
425
350
300
1225
300
545
3100
60
530
300
600
340
550
300
400
350
360
300
683
440
390
1
1
1
Watershed
1
I
l
l
l
l
l
l
l
l
l
l
l
1
1
1
I
1
1
1
l
1
1
l
1
1
1
1
1
l
1
l
1
l
I
1
1
1
1
1
_,,
Map
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
II
11
Lot
44
45
46
47
48
49
50
51
52
52B
53
54
55
55A
55B
56
56B
57
58
11
59
11
11
59A
60
61
63
63A
63B
64
64A
65
65A
67
67A
68
69
70
71
72
73
74
74A
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Bldg.
Value
Land
Value
Acres
57.6
82.4
75 .3
62.8
0.0
4.1
0.0
0.0
117.7
0.0
50.7
83.4
0.0
53 .7
137.4
71.l
73 .0
0.0
8.1
110.8
60.0
58.1
42.0
75 .7
72.0
102.8
81.9
47.5
0.0
0.0
94.2
94.5
67.8
66.3
72.7
62.6
105 .7
22.5
0 .0
100.4
39.2
39.2
59.8
43 .1
47 .3
65 .7
62.8
45 .8
59 .8
6.4
37 .8
63.4
72.0
52.7
52 .5
60.1
52.3
47 .6
97.4
58 .9
1.8
1.8
12.3
2.8
6 .8
27 .0
22.0
9.0
22.0
0.8
1.4
12.6
39 .0
6.1
4.9
14.7
4.8
7.0
53 .4
9.2
7.0
3.5
55 .6
47 .3
37 .9
52.7
52 .8
52 .9
76 .8
36 .6
2 .6
7.5
55 .5
52 .1
38.9
37.7
37.9
37.9
55 .6
40.1
44.6
54.4
Land
Zoning
Use
1.5
5.0
5.1
5.1
37 .0
1.0
6 .6
5.0
8.3
4.7
1.8
1.4
1.5
1.5
14.0
2.0
5.0
6.2
1
1
1
1
13
13
13
13
1
13
1
1
13
1
1
1
1
13
1
1
I
1
1
I
1
1
I
I
13
13
1
I
I
I
1
I
I
I
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
I
1
I
1
1
1
I
I
1
1
1
1
I
1
1
I
1
I
I
1
I
1
I
Bldg.
Grade
3
3
3
3
5
3
4
3
4
3
3
#of
Stories
1.0
1.5
1.0
1.5
0.0
0.0
0.0
0.0
1.5
0.0
1.0
2 .0
0.0
1.0
1.0
1.0
1.0
0.0
0.0
5
1.5
3
3
3
3
3
4
3
2
1.0
1.0
1.0
1.0
1.5
1.5
2.0
1.0
0.0
0.0
1.0
1.0
2.0
1.0
1.0
1.0
2.0
1.0
0.0
2.0
3
3
3
3
3
3
3
2
3
Occupancy
1
1
1
1
Heat
Type
2
2
2
2
#of
Beds
2
2
4
5
1
2
3
1
1
2
3
1
2
1
1
1
I
2
2
2
2
2
3
3
2
2
1
1
I
1
1
I
1
I
2
2
2
2
2
2
2
2
2
4
2
2
I
3
4
3
4
3
I
2
1
I
1
1
I
1
2
2
2
2
2
2
2
2
3
3
3
3
2
2
2
I
1
2
4
113
#of
Baths
1.0
1.5
1.0
2.0
0 .0
0.0
0.0
0.0
1.5
0.0
1.0
1.0
0.0
1.0
2.0
1.0
2 .0
0.0
0.0
2.0
1.0
1.0
1.0
2.0
1.5
1.5
1.0
1.0
0.0
0.0
1.0
2.0
1.0
2.0
1.0
1.0
2.0
1.0
0.0
1.5
Total
Rooms
Year
Built
4
4
6
9
1965
1987
1967
1954
6
1800
5
1943
1934
7
4
5
6
6
8
5
4
3
5
7
7
8
6
7
7
7
6
4
1949
1983
1986
1981
1800
1988
1940
1950
1986
1985
1986
1779
1976
2
1969
1982
1947
1958
1982
1800
1975
1899
7
1988
5
5
1st
Floor
1.0
1.0
1.8
I.I
0 .0
0 .0
0 .0
0 .0
1.6
0.0
0.9
0.8
0.0
1.0
2.4
I.I
1.2
0.0
0.0
1.5
0 .6
0 .9
0 .6
1.2
0 .9
1.0
I.I
1.2
0.0
0 .0
1.9
I.I
0 .7
1.2
1.0
1.0
1.5
0 .5
0.0
0 .9
Frontage
200
200
300
370
300
2100
564
532
1450
196
425
300
300
300
900
300
850
0
494
0
0
400
300
300
1500
237
0
0
609
311
450
300
370
244
428
630
763
425
Wetlands
1
1
1
1
1
1
1
1
1
1
1
I
I
1
I
I
I
1
I
Watershed
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
I
1
I
1
I
I
I
1
I
1
I
I
1
I
1
I
.,,
Map
Lot
11
75
11
77
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
78
79
83
84
85
86
87
88
89
89A
89A
89A
89A
89B
89C
890
89E
90
90A
90B
900
90E
90F
91
92
93
93A
93B
94
94A
94B
11
95
11
11
96
98
100
101
102
103
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Bldg.
Value
51.1
0 .0
84.8
65 .9
65 .7
9 .8
56 .5
0 .0
67.1
69 .6
0.0
0.0
986.1
0.0
0 .0
149.1
92.1
96 . 1
84 .1
0.0
157.4
127.9
141.3
90.4
72.0
99.9
7 .2
54.3
104.4
79 .6
72.1
100.8
146.5
0.0
80.4
100.l
68 .9
128.5
124.7
0.0
Land
Value
40.1
66.9
44.4
62 .7
36.9
52.6
55.6
7.8
67.0
48.8
73.0
0.0
72.2
0.0
0.0
56 .6
58 .6
57 .5
58 .6
63.7
53 .2
64.0
56.7
54 .3
54.9
47.3
53.4
57.8
79.0
52.2
52.2
52.0
52.4
52.9
43 .5
56.2
52.7
63.1
44.6
9.8
Acres
2.0
32 .0
3 .0
12.0
1.1
5 .0
7 .0
1.8
16.0
4.0
50.0
0.0
26 .9
0.0
0.0
8.4
9.0
9.0
9.0
29 .0
5.4
13 .0
7.7
6.1
6.6
3.5
5.5
26.3
37.9
4.7
4.7
4 .6
4.9
10.8
2.7
7.4
5 .0
12.4
3.1
4.5
Land
Use
1
13
1
1
1
1
1
13
I
I
13
3
3
3
3
I
1
1
1
13
1
1
1
1
1
1
1
1
1
1
1
1
1
13
1
1
1
1
1
13
Zoning
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
3
2
3
3
3
3
3
3
3
4
4
4
4
7
5
5
4
3
4
2
3
5
3
3
4
5
5
5
3
4
4
II of
Stories
2.0
0.0
1.0
1.0
1.0
1.0
1.0
0.0
2.0
1.0
0.0
0.0
0.0
0.0
0.0
1.0
2.0
1.5
1.0
0.0
2.0
1.0
2.0
1.0
1.5
1.0
1.0
1.0
1.0
1.0
1.0
1.0
2.0
0.0
1.0
1.5
1.0
1.0
1.5
0.0
Occupancy
Heat
Type
II of
Beds
1
2
3
1
1
1
1
1
2
2
2
1
2
4
2
3
1
2
1
1
2
2
1
5
8
8
8
6
1
1
1
1
2
3
3
3
2
2
2
2
4
3
2
2
I
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
4
1
2
1
4
2
4
2
2
2
3
3
4
3
3
4
0
2
3
2
2
2
3
1
1
1
1
1
1
2
2
2
2
114
3
3
3
4
2
II of
Baths
1.0
0.0
2 .0
1.0
1.0
0.0
1.0
0 .0
4.0
1.5
0.0
0.0
0 .0
0 .0
0.0
2.5
1.5
2.0
2.0
0.0
1.0
1.0
2.5
2.0
2.0
2.0
0.0
1.0
Total
Rooms
Year
Built·
7
1800
9
7
3
4
1939
1939
1972
1941
1965
4
7
1988
1945
9
7
6
6
1982
1982
1982
1989
1986
1986
1986
1989
5
1.5
9
8
9
7
7
9
I
4
7
2.0
5
1.5
1.5
2.5
0.0
1.0
1.0
1.0
3.0
2.0
0.0
4
5
9
7
5
7
1
4
1821
1849
1975
1986
1974
1900
1968
1964
1800
1978
1983
1980
1984
1800
1975
1960
1976
1984
lat
Floor
0.7
0.0
1.9
1.3
1.2
0.4
0 .9
0.0
0.9
1.3
0.0
6.6
5 .0
5 .1
4.0
2.0
0.9
0.9
1.1
0.0
1.4
2.2
1.0
1.1
1.0
1.9
0.2
0.8
1.2
1.4
1.0
1.4
1.5
0.0
1.1
1.1
1.1
2. 1
1.7
0.0
Frontage
Wetlands
138
425
316
294
150
550
1900
200
600
200
2900
700
300
300
300
300
794
372
300
632
350
360
425
850
1300
1550
337
1660
474
357
800
231
601
400
551
750
700
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Watershed
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
I
I
1
1
1
1
1
1
1
1
1
1
1
Map
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
Lot
104
106
108
108A
109
109
110
111
112
113
1
lA
lB
2
3
4
5
5
6
6
6A
7
8
9
10
11
12
13
13AE
14
15
16
17
18
18A
19
20
20A
21
22
Bldg.
Value
80.2
0.0
55.6
67.1
0.0
140.3
0.0
0.0
166.0
116.5
85 .9
68 .0
0 .0
59 .7
96.4
0.0
117.9
0.0
0.0
39 .9
65.4
0 .0
0.0
83 .2
148.1
0.0
0.0
90.2
0.0
83.3
0.0
97.0
0 .0
150.4
82.6
47.2
16.3
66.2
0.0
0.0
Land
Value
Acres
73 .5
70.2
52.1
52.1
0.0
56 .5
10.0
53 .2
71.6
61.5
54.7
52.2
38.0
33.1
52.8
76 .6
77 .6
0.0
0.0
52.2
52.6
87.7
44.6
44.4
29 .0
53 .0
4.6
4.6
0.0
7.5
4.6
15.0
26 .8
11.2
8.0
56.5
10.5
252.0
48 .8
0 .3
47.3
84.7
41.2
3.6
99 .7
52.1
35 .3
75 .0
52.6
3.2
2.0
Land
Zoning
Use
5.0
3.0
0.7
6.5
63 .0
35 .0
0.0
0.0
4.6
5.0
70.0
5.0
3.0
7.6
4.0
24.0
4.0
0.0
3.5
84.3
2.3
0.2
108.0
4.7
0.9
51.0
5.0
8.0
5.0
1
13
1
1
1
1
13
13
1
1
1
1
13
1
1
13
1
1
6
6
1
13
13
1
1
13
10
1
10
1
13
1
13
1
1
1
12
1
13
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
4
3
3
3
5
7
5
3
3
3
4
5
3
2
2
3
4
4
4
3
3
5
3
3
3
II of
Stories
1.0
0.0
1.0
1.0
1.0
1.5
0.0
0 .0
1.5
2.0
1.0
1.0
0.0
1.0
1.5
0.0
1.5
1.0
1.0
0.0
1.0
0.0
0.0
1.0
1.5
0.0
0.0
1.5
0.0
1.0
0.0
1.0
0.0
1.5
1.0
1.0
0.0
1.5
0.0
0.0
Occupancy
Heat
Type
II of
Beds
1
2
5
1
1
1
1
2
2
2
2
2
3
2
4
1
1
1
1
2
2
2
2
4
2
2
3
1
1
2
2
3
2
1
1
1
0
1
2
2
2
2
1
3
3
0
0
2
1
1
2
2
4
4
1
2
3
1
2
3
1
2
3
1
1
1
2
2
2
3
3
3
1
2
3
115
II of
Baths
1.0
0.0
1.0
1.0
1.0
2.0
0.0
0.0
2.0
2.0
1.0
1.0
0.0
1.0
1.0
0.0
1.0
1.0
1.0
0.0
1.0
0.0
0.0
2.0
2.0
0.0
0.0
2.0
0.0
2.0
0.0
3.5
0 .0
2.5
2.0
1.0
0 .0
1.0
0 .0
0.0
Total
Rooms
Year
Built
1st
Floor
8
1840
4
1940
1976
1945
1845
1.1
0.0
0.8
1.1
1.0
1.2
0.0
0.0
1.5
1.2
2.2
1.2
0.0
1.2
1.4
0.0
1.7
0.7
0 .3
1.7
1.1
0 .0
0 .0
1.2
1.8
0 .0
0.0
1.1
0.0
1.4
0.0
1.6
0.0
1.9
1.5
1.0
0.0
0.9
0.0
0.0
5
5
8
9
7
4
6
1800
1977
1955
1974
6
6
1968
1938
10
1
0
6
1812
1969
1972
1968
1981
8
10
1800
1984
7
1864
7
1965
9
1968
9
7
5
1850
1974
1960
6
1979
5
Frontage
2400
1100
820
916
1150
1400
750 .
400
456
300
342
188
787
346
750
1755
1755
1543
1900
1000
400
152
438
1300
572
500
1300
450
100
800
300
200
911
300
0
0
Wetlands
Water-
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
shed
Map
Lot
Bldg.
Value
Land
Value
Acres
Land
Use
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
23
24
25
25A
26
27
28
29A
29B
29C
290
290
29E
29F
30
30
31
32
33
34
35
36
37
38
39
40
41
41A
42
42A
43
44
45
0.5
85.5
70.9
101.9
99.6
52.3
72.9
82.3
0 .0
85.8
0.0
111.3
110.4
100.8
0.0
111 .0
96 .2
106.6
62.4
96 .0
89 .0
107.5
77.3
0.0
0.0
19.3
88 .8
74.3
50.1
63.9
57.2
58.8
45 .8
0 .0
0.0
35.6
68.2
69 .7
0.0
74.9
63.4
54.7
93 .1
56 .5
53 .8
34.5
53 .4
52.4
13.4
36 .5
0.0
56.0
60.3
57 .1
0.0
72.1
58 .6
38.5
37.6
65 .8
52.9
41.2
57.1
2.6
840.0
104.7
105 .4
97.0
40.8
52.7
36.6
30.3
33 .0
4 .0
151.2
36.6
36.6
45 .3
32.0
33 .0
23 .0
7.5
62.2
7.6
9.0
0.7
8.0
4.9
8.9
1.0
0.0
7.2
10.1
8.0
0.0
27 .3
9 .0
1.7
1.3
19.0
12
1
1
1
1
1
1
1
13
1
1
1
1
1
1
1
2
1
1
33
I
I
1
78
10
I
1
1
1
1
1
1
1
13
10
1
1
1
13
1
46
47
48
49
50
51
52
5.5
2.3
8.0
0.1
80.0
87 .0
8.0
9.4
0.3
0.5
1.0
0.5
0.8
0 .3
144.0
1.0
1.0
3.3
1.5
0.8
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
Bldg.
Grade
3
3
3
3
3
4
3
3
2
4
4
4
3
3
3
3
3
5
5
4
3
2
3
4
3
3
3
3
2
3
3
3
3
#of ·
Stories
0.0
1.0
1.5
2.0
1.0
1.0
1.0
1.5
0.0
1.0
1.0
2.0
2.0
2.0
1.5
1.5
1.0
2.0
1.0
1.0
1.0
1.0
1.5
0.0
0.0
1.0
1.0
2.0
1.0
2.0
1.0
1.0
1.0
0.0
0 .0
1.5
1.0
1.5
0.0
1.0
Occupancy
Heat
Type
#of
Beds
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
3
3
2
2
1
1
1
1
1
1
1
2
1
1
1
1
1
1
2
2
2
2
2
2
2
4
2
2
2
I
2
3
3
1
1
3
3
2
3
3
2
4
4
3
2
1
1
1
1
1
1
1
1
1
2
4
4
2
2
2
2
1
4
2
1
3
4
3
2
1
1
1
2
2
2
3
3
2
1
2
3
116
5
3
5
#of
Baths
0.0
2.0
1.5
2 .5
1.0
1.0
1.0
1.5
0 .0
1.0
1.0
1.0
1.0
1.5
1.0
1.0
2.0
2.0
1.0
1.0
1.0
2.0
2.0
0.0
0.0
0.0
2.0
1.0
1.0
1.5
1.0
1.5
1.0
0.0
0.0
2 .0
1.0
2 .0
0 .0
1.0
Total
Rooms
Year
Built
7
7
8
8
4
10
6
1951
1800
1959
1819
1960
1838
1976
8
1952
1942
1942
1979
1981
1838
1880
1963
1982
1974
1878
1840
1986
1986
5
3
6
7
5
6
9
6
5
7
11
6
5
4
6
5
3
7
8
5
6
1940
1969
1984
1985
1950
1935
1962
1955
6
1989
1988
1938
6
1962
7
5
1st
Floor
0.0
1.9
0.9
1.4
1.8
0.8
1.4
1.1
0.0
1.9
0.7
1.3
0.9
1.1
0.8
1.0
2.2
1.0
0.8
1.2
1.5
1.7
0.9
0.0
0.0
0.5
1.6
0.8
0.6
0.5
1.0
1.3
0.9
0.0
0.0
1.0
1.1
0.9
0.0
1.0
Frontage
725
495
1295
772
212
140
600
1075
650
150
225
850
325
300
400
86
3100
350
80
25
150
125
200
75
2050
100
100
375
150
350
Wetlands
Watershed
.-'
Map
Lot
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
13
13
13
13
13
13
13
13
13
S3
S3A
S4
S4A
S4Al
S4A2
SS
SSA
S6
S7
S9
60
61
62
63
64
6S
66
67
67A
67B
67C
68
69
70
70
70 .
70
71
71A
72
1
2
2A
3
3A
3B
3C
30
3E
Bldg.
Value
S8 .6
0 .0
0 .0
0.0
0 .0
86 .3
103.4
0.0
0.0
79.0
0 .0
0.0
llS .S
0 .0
0.0
0.4
96 .8
0.0
20.8
0 .0
69.0
130.3
S0.6
0.0
84.2
0.0
0 .0
0 .0
2.6
69 .2
174.9
0.0
0 .0
0.0
112.3
0.0
84.2
lSO.O
129.3
69 .2
Land
Value
Acres
38 .0
31.4
68 .6
44.6
44 .6
64 .0
63 .6
60.7
6 .0
SS .2
42 .7
S4.S
69.4
llS .S
1.5
1.2
34.3
o.s
34.0
68 .0
S061.0
S4.S
6 .3
S4.2
S4 .2
7S.O
S3 .2
173.2
0 .0
0 .0
0 .0
7S .3
36 .6
8S .O
32.4
31.9
41.7
S2. 1
48 .2
S7.7
S6.0
S4.6
S3.S
s.o
s.o
13 .0
12.7
18.0
4.0
6 .8
4.S
11.9
21.0
11.0
0 .2
2 .0
21.0
482.0
6 .3
1.1
6 .1
6 .0
3S.O
12.0
30.0
0 .0
0.0
0 .0
32.0
1.0
S2.0
1.5
1.4
3 .8
4.6
7 .4
8.4
7 .2
6.3
S.6
Land
Use
1
13
13
13
13
1
1
13
13
1
13
13
1
10
13
12
1
10
1
10
1
1
1
13
6
6
6
6
s
72
1
13
13
13
1
13
1
1
1
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
3
s
s
3
3
4
2
3
3
1
2
3
6
4
3
4
4
3
#of
Stories
1.0
0 .0
0.0
0.0
0 .0
2 .0
1.0
0 .0
0 .0
1.5
0 .0
0 .0
2.0
0 .0
0.0
0 .0
1.0
0 .0
1.0
0 .0
1.0
2 .0
1.0
0 .0
0 .0
0.0
0 .0
0 .0
0.0
1.5
2 .0
0 .0
0.0
0 .0
2 .0
0 .0
2 .0
2 .0
2 .0
1.0
Occupancy
1
Heat
Type
2
#of
Beds
3
1
1
2
2
3
2
1
2
2
1
2
s
1
2
3
1
1
0
1
1
1
2
2
1
1
3
2
2
2
2
2
1
1
1
2
3
2
1
2
3
1
1
1
1
2
3
2
2
3
4
3
3
117
#of
Baths
1.0
0 .0
0.0
0.0
0.0
1.5
1.5
0.0
0.0
2 .0
0 .0
0 .0
1.0
0 .0
0 .0
0 .0
1.0
0 .0
0 .0
0 .0
1.0
2 .0
1.0
0 .0
0 .0
0.0
0 .0
0.0
0 .0
2.0
2.S
0 .0
0 .0
0 .0
2.S
0 .0
2.0
2.S
2.S
1.0
Total
Rooms
Year
Built
6
1929
s
4
1981
1979
7
19S8
10
1747
8
1800
2
1941
4
6
3
1983
1987
197S
1960
1960
19SO
19SO
6
8
1790
1812
7
1987
s
1987
1987
1988
1987
8
7
6
ht
Floor
0.8
0 .0
0 .0
0 .0
0 .0
0.8
1.0
0 .0
0 .0
1.1
0 .0
0 .0
1.2
0.0
0 .0
0 .0
1.2
0 .0
o.s
0 .0
0 .8
1.2
1.0
0.0
0.7
0 .7
1.3
2.1
0 .0
1.8
1.5
0 .0
0.0
0.0
1.0
0 .0
0.8
1.5
1.1
1.1
Frontage
Wetlands
S30
82S
42S
300
300
lOSO
900
0
1043
3SO
1S02
1800
2800
12S
400
2327
2100
1307
424
S23
3100
2SOO
1
1
1
lSSO
1
900
6SO
6SO
1
soo
300
300
300
300
30S
300
Watershed
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
....
Map
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
Lot
3F
JG
4
5
6
7
8
9
10
11
12
13
13A
14A
15
15
16
17
18
ISA
18B
18C
180
19
19A
19B
20
21
22
22A
23
24
24
24
24
25
26
27
27
27
Bldg.
Value
97.6
82.9
83.1
108.2
41.6
0.0
61.0
67 .3
96 .2
85.4
0.0
87.7
90.5
120.4
0.0
674.4
71 .7
14.3
103 .l
115.1
111.3
0 .0
57 .7
0.0
0.0
0.0
56 .6
58 .6
0.0
0 .0
0 .0
129.4
81.2
0.0
0 .0
0.0
0.0
30.3
109.7
0 .0
Land
Acres
Value
52.1
52 .1
36 .6
122.8
40.1
77.3
46.6
71.9
44.4
36 .9
67.4
88.5
65.0
66 .6
0.0
43 .2
36 .6
87 .1
54.6
60.7
52 .6
44 .6
64.l
66.2
50.9
48.4
70.7
37.4
58 .6
58.6
84.7
0.0
66 .6
0.0
0.0
52.7
41.8
44.0
50.7
0.0
4.6
4.6
1.0
177.0
2 .0
48 .0
3.5
24 .0
3.0
1.1
30 .1
54.0
13.7
15 .0
0.0
2.8
1.0
51.7
6.3
10.6
5.0
5.0
13 .1
27 .5
9.2
9.0
23 .2
1.3
15 .0
15.0
62.7
0.0
5.0
0.0
0.0
15.8
4.0
4.6
9.4
0 .0
Land
Use
1
1
1
1
1
13
1
1
1
1
13
1
1
1
72
72
l
11
l
1
1
13
1
13
13
13
1
l
13
13
13
1
6
1
1
13
13
5
1
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
l
1
1
1
1
1
l
1
1
l
1
1
1
1
1
1
1
1
1
1
4
4
4
4
4
4
4
4
4
Bldg.
Grade
4
3
3
3
2
3
3
3
3
4
3
4
3
2
3
2
5
4
4
2
3
3
3
3
2
2
1
3
1
II of
Stories
1.5
1.0
1.5
1.0
1.0
0.0
1.0
1.5
2.0
1.5
0.0
2.0
2.0
2.0
1.5
0.0
1.5
1.0
1.0
2.0
1.5
0.0
1.0
0.0
0.0
0.0
1.0
1.0
0.0
0.0
0.0
1.0
0.0
1.0
1.0
0.0
0.0
0.0
1.0
1.0
Heat
Type
II of
Beds
1
1
1
1
1
2
2
2
4
1
2
3
3
1
1
1
I
1
1
2
2
2
2
2
3
3
3
1
1
I
1
5
1
I
1
1
1
1
4
2
3
2
1
l
2
2
2
2
0
3
3
4
1
4
2
Occupancy
3
2
2
1
l
2
2
3
1
1
2
2
2
2
5
l
1
1
1
1
2
1
118
2
2
4
1
II of
Baths
1.5
2.0
1.5
1.0
1.0
0.0
1.0
1.5
2.0
1.5
0.0
2.0
1.5
2.5
1.5
0.0
1.0
0.0
2.0
2.0
2.0
0.0
1.0
0 .0
0.0
0.0
1.0
1.5
0.0
0.0
0.0
2.0
0.0
1.0
1.0
0.0
0.0
0.0
2.0
1.0
Total
Rooms
Year
Built
1st
Floor
6
1987
1988
1800
1980
1969
0 .9
1.4
1.0
0.7
1.0
0.0
1.1
0.8
1.0
1.2
0.0
1.2
1.0
1.1
1.0
6 .6
0.7
0.4
1.4
1.1
1.3
0 .0
1.4
0.0
0.0
0 .0
1.1
1.6
0.0
0.0
0.0
1.8
4.0
0.8
0.8
0.0
0.0
4.7
2.1
0 .6
5
7
2
4
5
7
7
8
8
1950
1943
1983
1965
4
2
8
7
7
1800
1981
1985
1965
1827
1981
1950
1799
1976
1976
5
1977
5
7
6
5
6
8
6
2
7
4
1949
1950
1958
1963
1949
1945
1942
1962
1942
Frontage
300
602
180
1300
250
1250
445
670
330
208
606
930
412
490
256
2079
919
1266
493
300
1577
475
429
350
1845
1062
1104
100
250
Wetlands
Watershed
_,
Map
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
Lot
28
29
29
29
29A
30
31
32
33
34
35
36
37
37A
37B
38
40
41
42
43
43A
45
45A
45B
45C
450
45E
46
47
47A
47B
47C
470
47E
48
49
50
Sl
52
53
Bldg.
Value
Land
Value
Acres
68 .6
67 .6
50.6
0.0
86 .2
0.0
0.0
38 .5
0.0
0.0
0.0
68 .3
0.0
0.0
0.0
0.0
0.0
0.0
73 .0
61.9
64.5
0.0
0.0
0.0
0.0
169.6
84.1
0.0
197.5
0.0
0.0
0.0
88.4
7.3
23 .0
5.8
69 .8
0 .0
0 .0
97.0
41.6
0 .0
60 .8
0.0
27.4
10.6
3 .5
42 .5
1.7
41.8
45 .1
54.6
142.0
44.1
7.5
22 .0
12.5
47.6
36 .6
50.0
53.2
73 .6
27.5
45 .5
45 .3
52.2
52 .8
20.7
69 .5
11.3
10.9
22.0
52.2
69.2
34.5
37.4
51.0
22.9
22.9
26.8
0.4
0 .0
6
1
1.5
5
0 .0
0 .7
4 .1
0 .9
2.6
0 .7
4 .0
5.3
10.9
212.0
4.6
5 .0
13 .0
6 .3
7 .0
1.0
4 .3
5.4
41.0
32 .0
5.6
1
1
13
13
I
13
13
13
1
13
13
5.5
4.7
5.1
20.0
23.1
7.5
7.2
20.0
4.7
19.5
0 .8
1.3
4.5
0 .4
0 .4
0.4
Land
Use
15
13
13
13
1
1
I
13
13
13
13
1
1
13
4
13
13
15
I
I
1
1
I
13
13
I
Zoning
4
4
4
4
4
1
1
1
I
I
I
1
1
I
I
I
I
1
1
I
I
1
1
1
1
1
1
1
1
1
1
1
1
I
I
I
1
1
I
I
Bldg.
Grade
3
3
2
2
5
2
3
3
3
3
4
4
3
4
3
2
3
3
3
II of
Stories
0.0
1.0
0.0
1.0
1.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
1.0
0.0
0.0
0 .0
0.0
2.0
2.0
0.0
0 .0
0.0
0.0
0.0
1.5
1.0
1.0
1.0
1.0
0.0
0.0
1.0
Occupancy
Heat
Type
II of
Beds
1
1
2
2
1
1
2
1
3
1
2
2
1
2
3
1
1
I
1
1
I
2
3
2
2
2
3
3
3
3
3
5
2
1
I
I
I
I
2
2
3
2
2
3
2
1
2
2
I
2
4
119
II of
Baths
0.0
1.0
0.0
1.0
2.0
0.0
0.0
1.0
0 .0
0 .0
0 .0
1.0
0 .0
0.0
0 .0
0.0
0.0
0 .0
1.0
1.0
1.0
0 .0
0.0
0.0
0.0
2.5
3.5
0.0
0 .0
0.0
0 .0
0 .0
2.0
1.0
1.0
1.0
1.0
0 .0
0.0
3.0
Total
Rooms
Year
Built
3
7
1875
1965
1970
1900
1790
5
1948
5
1975
6
5
7
5
8
10
1800
1932
1959
1988
1989
1875
6
3
4
4
1987
1970
1900
1965
1982
8
1960
5
1st
Floor
1.8
0.9
1.0
0.4
1.3
0.0
0 .0
0.8
0 .0
0 .0
0 .0
1.2
0 .0
0 .0
0.0
0 .0
0 .0
0 .0
0 .9
0.9
1.0
0.0
0.0
0.0
0.0
1.8
2.0
0.0
4.1
0.0
0 .0
0 .0
0.9
0.7
0.5
0.7
0.9
0 .0
0 .0
1.8
Frontage
Wetlands
85
330
137
132
111
270
100
430
430
870
950
550
568
285
285
481
438
506
1600
I
1
I
I
1
0
0
1330
0
0
0
300
150
200
300
150
150
150
1
Watershed
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
I
I
1
1
1
1
1
1
1
1
1
1
1
1
I
.,,
Map
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
Lot
54
55
56
58
59
60
61
62
63
63A
63B
64
64
65
65A
66
67
68
69
70A
70B
75
76
1
2
2A
2B
2C
3
3A
4
5
6
7
8
9
10
11
13
14
Bldg.
Value
69 .6
0 .0
87.3
77.6
39.4
69 .5
57.7
0 .0
0 .0
149.8
96 .0
29 .6
49 .0
0 .0
0 .0
0 .0
0 .0
31.5
57 .8
94.6
129.1
0 .0
0 .0
0.0
85.0
454.5
0 .0
0.0
78 .0
0 .0
44.9
161.l
39 .5
60.7
105 .7
63 .9
69 .8
110.6
0.0
73 .6
Land
Value
40.1
51.4
38 .5
42.5
36 .6
47.8
77.4
49 .7
45 .8
73 .0
52.1
0 .0
38 .3
55 .6
44.2
130.0
48 .1
81.2
53 .3
69 .6
52.6
1.5
15 .0
46. 1
54.7
74.4
39.4
45 .0
44.1
50.5
37.6
63 .8
55 .4
44.6
55 .6
37.3
38 .6
36 .9
63 .9
66.6
Acres
2 .0
9.5
1.7
2.5
1.0
3.8
39 .1
8 .4
5 .8
27 .0
4.7
0 .0
1.6
74.8
4.7
156.0
7 .3
45.l
5 .4
20.4
5 .0
1.0
10.0
10.0
11.7
10.0
5.5
5 .3
4.7
2.0
1.3
14.1
6.9
3 .0
7 .0
1.3
1.6
1.1
24 .0
15.5
Land
Use
1
13
1
1
1
1
1
13
13
1
1
5
1
13
13
13
13
1
1
1
1
15
15
13
1
6
13
15
1
14
1
I
9
1
1
1
1
1
13
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4
4
1
4
1
4
1
1
1
1
I
1
1
1
1
1
Bldg.
Grade
3
3
2
2
3
3
6
3
1
3
2
3
3
4
4
3
3
2
5
3
4
2
3
4
4
#of
Stories
1.0
0 .0
1.0
1.0
1.0
1.0
1.0
0 .0
0 .0
1.5
1.0
0.0
1.0
0 .0
0.0
0.0
0 .0
1.0
1.0
1.5
2.0
0 .0
0 .0
0.0
1.5
0 .0
0.0
0.0
1.0
0.0
1.5
1.5
0 .0
1.0
1.5
1.0
1.5
2 .0
0 .0
1.5
Occupancy
Heat
Type
#of
#of
Beds
Baths
1
2
3
1
1
1
1
1
3
2
2
2
2
3
2
2
2
3
1
1
2
2
1
2
2
3
2
2
1
1
1
1
2
2
2
2
2
3
3
3
1
2
2
3
1
2
2
1
1
4
2
5
1
1
1
1
1
2
2
2
2
2
3
3
2
3
3
1
1
5
120
3
1.0
0 .0
2 .0
2 .0
1.0
1.0
1.0
0 .0
0 .0
2 .0
1.5
0 .0
1.0
0 .0
0 .0
0 .0
0 .0
0 .0
1.0
2.0
2.5
0 .0
0 .0
0 .0
2 .0
0 .0
0 .0
0 .0
2 .0
0.0
1.0
2 .5
0 .0
1.0
2 .0
1.0
1.5
2 .0
0 .0
1.5
Total
Rooms
Year
Built
6
1984
6
8
1986
1968
1951
1966
1800
5
5
6
6
7
6
6
5
6
8
1980
1976
1950
1948
1900
1939
1932
1981
7
1880
1989
7
1963
6
13
1930
1739
5
7
4
7
6
1964
1979
1986
1965
1965
10
1785
1st
Floor
0.9
0 .0
1.0
1.2
0 .8
1.3
0.9
0.0
0 .0
1.4
1.3
2 .1
0 .9
0.0
0 .0
0 .0
0 .0
1.1
1.5
1.0
1.2
0 .0
0 .0
0 .0
0 .9
8.4
0 .0
0 .0
1.3
0 .0
0 .8
1.8
0 .0
1.2
1.1
1.2
0.9
1.3
0 .0
1.4
Frontage
144
175
206
150
0
50
484
310
874
300
324
1277
303
1850
500
530
495
500
0
410
1067
1
481
700
692
1481
948
425
960
200
260
200
1176
1065
Wetlands
Watershed
...,
Map
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
Lot
15
16
17
17A
18
19
19A
19A
19Al
19B
20
21
21A
21B
21C
210
22
23
23A
24
24A
25
26A
27
28
29
31
32
33
34
35
35A
36
37
38
39
40
41
41A
42
Bldg.
Value
0.0
49 .6
68 .6
72.9
54.7
0.0
505 .2
0.0
0.0
198.0
68.8
83 .5
100.4
90.2
91.6
95 .l
0.0
0.0
0.0
65 .7
87.6
78.5
67 .3
66 .7
72.6
45 .1
66 .0
51.2
109.0
0.0
63 .5
61.2
77.1
63 .8
63 .7
71.9
73 .0
0 .0
0 .0
0.0
Land
Value
Acres
51.6
76 .2
46 .8
52.0
35 .9
71.2
69 .9
0 .0
57 .1
68 .7
35 .3
57 .5
52.2
52 .0
52 .2
52.1
19 .1
78 .4
62.2
35 .3
53 .0
36 .6
52.1
40.8
41.1
40.4
47.4
40.6
53.1
43 .1
39.3
52.1
31.3
30.3
37.1
29.4
47.3
60.3
80.9
44.3
12.5
34.0
6.4
4.6
2 .5
21.6
7.1
0 .0
5.3
6 .4
0.9
8.3
4.8
4.6
4 .7
4 .6
17.9
18.0
21.0
0.9
5.3
1.0
4.7
2.2
2.3
2.1
3.5
2.1
5.3
4.5
1.8
4.7
0.7
0 .6
1.2
0.5
3.5
18.2
60.0
4.8
Land
Zoning
Use
13
1
1
1
1
72
72
72
72
6
1
1
1
1
1
1
13
13
13
1
1
1
1
1
1
1
1
1
1
13
1
1
1
1
1
1
1
80
13
13
1
1
3
1
3
3
3
3
3
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
3
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
3
3
3
3
4
3
3
3
3
3
II of
Stories
0.0
1.5
1.0
1.0
1.0
0 .0
0.0
1.0
0.0
0.0
1.0
1.0
2.0
1.0
1.5
1.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.5
1.0
1.0
1.5
2.0
0.0
1.0
1.5
1.0
1.0
1.0
1.0
1.5
0.0
0 .0
0 .0
Heat
Type
II of
Beds
1
1
1
1
2
2
2
3
3
3
3
3
1
1
2
3
2
1
1
1
1
1
1
2
2
2
2
4
2
2
2
3
3
3
3
3
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
3
2
2
2
2
3
2
2
3
3
1
3
2
3
1
1
1
1
1
1
1
2
2
2
2
2
2
3
2
2
3
3
3
2
3
Occupancy
121
II of
Baths
0.0
1.0
1.0
1.0
1.0
0.0
0.0
1.0
0.0
0.0
1.0
2.5
2 .5
2.0
2.0
2.0
0.0
0.0
0.0
1.0
1.5
1.5
1.0
1.0
2.0
1.0
1.0
1.5
1.5
0.0
1.0
1.0
1.5
1.0
1.0
1.5
1.0
0.0
0.0
0.0
Total
Rooms
Year
Built
7
6
7
1929
1986
1986
1700
6
1973
1987
5
6
6
6
5
7
6
5
6
7
5
6
6
4
8
4
7
6
5
6
6
5
6
5
1976
1958
1989
1986
1988
1986
1986
1966
1977
1919
1980
1947
1964
1953
1900
1952
1954
1957
1824
1957
1954
1950
1976
1931
1st
Floor
0.0
0.8
1.0
1.2
0.9
0.0
4.6
0 .8
0 .0
5.1
1.2
1.3
0.9
1.5
1.0
1.5
0.0
0.0
0.0
1.1
1.1
1.1
1.0
0.7
0.9
1.0
1.5
0.8
1.4
0.0
1.0
0.9
1.3
1.2
1.3
1.0
1.1
0.0
0.0
0.0
Frontage
966
750
1034
300
312
753
394
1588
200
614
706
314
368
362
0
400
200
302
170
260
190
200
180
180
180
290
765
650
1588
165
143
300
850
1100
1262
0
688
Wetlands
Watershed
Map
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
Lot
42A
42Al
42B
43
45
46
47
48
49
50
51
52
53
54
54A
55
55A
55B
55C
56
57
58
58A
59
59B
60
61
61A
62
63
64
65
66
67
68
69
70
70
70A
71
Bldg.
Value
0.0
32.9
98 .2
72.0
74 .8
42.4
0.0
235 .7
103 .6
0.0
49.7
0.0
99 .8
48 .9
74.7
0.0
55 .7
106.7
104.5
60.8
39.3
0.0
90.8
0.0
0.0
0.0
60.7
63.0
31.9
7.8
107.0
91.8
95.0
0.0
48.4
7.1
198.4
0.0
62.1
43 .4
Land
Acres
Value
62.1
52.6
52.6
60.1
67.0
29 .4
70.7
38.9
83 .5
80.7
57.9
7.9
69 .5
83 .9
52.9
84.6
52 .6
52.6
52.6
53.4
37.9
45 .3
53 .8
19.7
51.1
29 .0
55 .6
52.6
37.6
36.6
61.2
74.9
69.9
52.1
46 .2
69.5
83 .7
0.0
52.6
37.9
21.0
5.0
5.0
10.0
17.0
0.5
36.0
1.8
50.5
113.0
8.5
1.6
20.0
45 .8
5.2
61.3
5.0
5.0
5.0
5.5
1.4
5.5
5.8
15 .2
10.4
35 .0
7.0
5.0
1.4
1.0
11.0
29 .3
20.7
10.0
3.4
20.0
45.3
0.0
5.0
1.5
Land
Use
13
1
1
1
1
1
13
4
1
9
I
13
1
1
1
13
1
1
1
1
1
13
1
15
15
15
1
1
1
1
1
1
1
13
1
1
1
1
1
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
Bldg.
Grade
2
3
3
3
3
3
4
3
6
3
3
3
4
5
3
3
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
3
3
3
2
1
3
3
3
3
1
5
3
3
3
#of
Stories
0.0
1.0
1.0
1.0
2.0
1.0
0.0
0.0
1.5
0.0
1.0
0.0
1.0
1.5
1.0
0.0
2.0
1.5
2.0
1.0
1.0
0.0
1.5
0.0
0.0
0.0
1.0
1.0
2.0
1.0
1.0
1.0
1.0
0.0
1.5
1.0
2.0
1.0
1.0
1.0
Occupancy
Heat
Type
#of
Beds
1
1
1
1
1
1
2
2
2
2
1
3
2
4
1
1
2
2
4
1
2
2
1
1
1
2
2
2
3
2
3
1
1
1
1
1
2
2
2
2
2
2
3
3
2
2
1
2
3
1
1
1
1
1
1
1
2
2
3
1
4
2
2
3
3
2
0
2
2
3
1
2
I
I
2
1
1
1
2
2
2
2
3
0
5
0
2
122
I
#of
Baths
0.0
1.0
1.0
1.0
2.0
1.0
0.0
0.0
2.5
0.0
1.0
0.0
1.0
1.0
2.0
0.0
1.0
2.0
1.5
1.0
1.0
0.0
2.0
0.0
0.0
0.0
1.0
1.0
1.0
0.0
2.0
1.0
1.0
0.0
1.0
0.0
2.0
1.0
1.0
1.0
Total
Rooma
Year
Built
3
7
6
8
3
1978
1900
1948
1936
1800
10
1875
1740
4
1953
7
5
6
1761
1800
1976
4
7
7
5
5
1900
1986
1986
1958
1932
8
1820
6
5
5
1
8
6
8
1950
1975
1945
1850
1988
1972
1946
6
3
12
2
4
4
1850
1930
1760
1760
1975
1880
1st
Floor
0.0
0.4
2.1
1.4
0.8
0.7
0.0
4.7
1.6
0.0
0.8
0.0
1.2
0.7
1.2
0.0
0.6
1.0
0.8
0.9
0.7
0.0
1.0
0.0
0.0
0.0
0.8
1.1
0.5
0.4
2.0
1.7
1.4
0.0
0.9
0.4
2.0
0.4
1.0
0.5
Frontage
790
300
241
300
1250
83
1030
472
700
0
386
100
600
310
195
850
300
572
Wetlands
Water-
1
1
1
1
1
1
1
1
1
1
1
1
shed
I
1
I
1
1
I
30
257
665
596
300
1
400
1
1
1
1
1
1
1
I
260
60
260
0
486
560
900
335
1500
666
1
300
350
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
-"
Map
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
Lot
72
72A
72B
73
74
74A
75
76
76
77
78
79
80
81
82
82A
82B
83
84
85
86
87
88
89
90
90A
91
92
95
95A
95B
96
96A
97
98
100
100
101
101
102
Bldg.
Value
Value
64.4
70.4
95 .6
6.1
110.3
143 .6
83 .4
100.0
0.0
75.7
142.3
124.1
70.2
75 .4
80.3
74.9
117.8
143.9
6.4
78 .7
0.0
61.3
56.5
75.2
49.6
71.9
57.3
50.1
0.0
0.0
0.0
12.2
0.0
138.5
222.1
51.8
79.5
44.1
24.9
0.0
91.0
57.1
59 .5
21.4
52.1
66.4
42.3
63.5
0.0
48 .2
52.6
57.4
45.7
43 .0
52.1
29.4
52.9
96.7
87.7
37.3
23 .8
41.8
59 .9
45.0
60.5
34.0
27.4
37.7
58 .3
50.4
53.4
46 .2
52.9
66 .1
80.9
44.0
60.2
0.0
70.3
45 .8
Land
Acres
34.8
7.8
9.6
2.5
4.7
15 .2
2.4
14.0
0.0
4.0
5.0
8.2
3.2
2.6
4.6
0.5
5.2
70.0
75 .0
1.2
0.7
4.0
17.7
5.3
23 .0
2.0
0.6
3.1
15.0
8.9
11.1
6.1
1.0
5.7
17.0
23 .0
4.6
0.0
7.5
11.0
Land
Use
Zoning
1
1
1
1
1
1
1
1
I
I
I
I
I
1
I
I
I
1
1
1
1
1
1
1
1
1
I
I
1
1
78
1
1
I
I
I
I
I
I
13
1
1
I
I
I
1
1
1
1
1
1
1
1
1
1
1
13
13
13
1
14
4
7
2
3
I
5
13
I
I
Bldg.
Grade
3
3
4
1
5
4
3
3
3
3
4
4
3
3
3
3
4
4
3
3
3
3
3
3
3
3
3
I
3
3
I
I
I
I
I
3
3
3
2
3
3
1
1
1
#of
Stories
1.0
2.0
1.5
1.0
1.5
1.5
2.0
1.5
1.0
1.5
1.5
2.0
1.0
1.0
1.5
0.0
1.5
1.0
1.0
1.0
0.0
1.5
1.5
2.0
1.0
1.0
1.0
1.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
2.0
1.0
1.0
0.0
0.0
Occupancy
1
1
1
I
I
I
1
1
I
1
1
I
I
I
I
I
I
I
I
I
I
I
1
1
1
1
2
2
8
I
Heat
Type
#of
2
3
2
3
2
3
Beds
I
I
2
2
2
2
2
2
4
4
2
2
2
2
4
2
2
2
4
5
3
3
2
3
2
4
2
3
3
2
1
2
2
2
2
3
2
4
4
5
3
2
I
00
2
3
2
2
2
2
123
2
2
2
2
I
5
2
#of
Baths
1.0
1.0
2.0
0.0
1.0
2.0
1.0
2.0
1.0
2.0
2.5
2.5
1.0
1.5
2.5
0.0
1.5
1.5
1.0
1.0
0.0
2.0
1.0
2.0
1.0
2.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
1.0
0.0
0.0
Total
Rooms
Year
Built
1st
Floor
5
5
6
7
5
5
5
1960
1984
1986
1940
1840
1980
1929
1910
1970
1923
1975
1979
1954
1979
1985
1965
1978
1982
1952
1974
6
8
7
4
7
7
4
1930
1935
1950
1938
1950
1940
1935
I
1940
1.2
0.8
1.0
0.3
1.5
1.5
0.9
1.2
0.6
1.3
1.4
1.1
1.4
1.1
0.9
0.6
1.2
1.8
0.8
1.0
0.0
1.0
0.7
0.9
0.7
1.5
0.9
0.8
0.0
0.0
0.0
0.7
0.0
1.4
4.9
1.3
1.7
1.1
1.0
0.0
I
11
11
6
8
I
8
6
8
7
6
6
10
5
1963
1979
1954
1949
1938
1945
Frontage
410
405
242
260
327
500
280
810
925
913
350
380
290
328
177
306
2750
450
186
250
325
500
859
349
376
100
258
1265
304
463
1875
516
500
228
578
700
Wetlands
Watershed
Map
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
Lot
102A
103
104
105
105A
105C
1050
105E
106
107
108
109
110
111
112
113
I 14
115
116
117
118
119
l
2
3
4
5
6
6A
8
9
10
10
lOA
lOB
11
12
13
13
14
Bldg.
Value
Land
Value
Acres
100.0
2068.4
323 .5
443.4
78 .4
99.9
91.8
78 .3
79.0
52.0
68 .7
59.2
55.2
48 .1
49.7
45.8
49.7
7.6
62.8
0 .0
0.0
0.0
0 .0
97.7
80.3
0.0
120.3
137.5
85.8
0.0
127.8
73.4
73 .4
155.0
0 .0
0.0
76.9
0 .0
98.l
75 .8
45 .7
67.3
61.0
79 .1
60.4
52.1
45 .8
52.1
27.4
32.9
39.5
34 .7
39 .6
23.6
22.1
22 .1
23.6
54 .0
34 .0
50.9
25 .2
28.9
123 .8
77.l
75.4
6.2
72.3
72.6
58 .1
3.8
43.9
55.7
0.0
52.2
15.9
276.0
67.9
0.0
82.0
36.6
5.7
17.2
2.5
18.4
10.4
4.6
6.0
4.6
0 .8
0.3
1.8
2.2
3.5
0.5
0.4
0.4
0.5
11.5
1.9
1.0
0.9
2.0
146.7
33 .0
30.0
0.6
30.0
26 .2
10.4
1.3
2.8
7.1
0.0
4.8
2.7
46.0
17.6
0.0
42.0
1.0
Land
Use
1
79
72
6
1
1
1
1
1
6
1
1
1
I
1
1
I
1
1
14
13
13
13
l
l
13
1
l
l
13
l
12
1
1
10
10
l
l
l
1
Zoning
1
1
1
1
1
4
1
1
4
4
1
4
4
4
4
4
4
4
4
4
4
4
l
l
l
l
l
1
l
1
l
l
1
l
1
l
l
1
l
l
Bldg.
Grade
4
3
2
3
3
3
3
3
3
2
3
3
3
3
3
3
3
3
3
4
3
4
4
3
4
3
3
4
II of
Stories
1.5
2.0
0.0
0.0
1.0
1.0
2 .0
1.0
2.0
0 .0
1.5
1.5
1.0
1.0
1.0
1.0
1.5
1.0
1.0
0.0
0.0
0.0
0.0
2.0
1.0
0.0
2.0
2.0
1.5
0.0
2.0
1.0
2.0
2.0
0.0
Occupancy
1
Heat
Type
II of
Beds
4
4
1
1
1
1
1
I
I
l
I
2
2
4
2
4
2
3
2
3
2
2
2
2
2
2
2
2
1
l
2
4
4
2
l
l
l
4
2
2
5
l
1
1
l
3
2
2
2
4
3
3
3
1
1
1
1
1
4
4
3
2
2
2
2
1
2
2
2
2
3
3
2
3
o:o
4
1
4
2
1.0
2.0
1.0
1.0
l
l
l
l
2
l
2
4
124
3
2
3
2
II of
Baths
2.0
0.0
0.0
0.0
2.0
2.0
2.5
1.0
1.0
0.0
2.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
2.0
0.0
0.0
0.0
0.0
2.0
1.0
0.0
2.0
2.0
2.0
0.0
2.0
1.0
1.0
2.5
0.0
0.0
1.5
1.0
1.5
2.0
Total
Rooms
Year
Built
7
5
5
5
5
1977
1952
1960
1976
1974
1972
1986
1988
1920
1900
1954
1940
1940
1920
1949
1944
1940
1968
1959
8
7
1875
1966
6
9
7
1972
1972
1973
9
6
6
9
1978
1974
1900
1978
6
9
6
5
6
5
6
4
6
6
7
3
6
1
1812
1952
1821
1964
1st
Floor
1.0
52.
3 .2
5.0
1.3
1.4
1.1
1.1
1.0
1.8
1.2
0.7
0.8
1.0
1.3
1.0
1.2
0 .7
1.0
0.0
0.0
0.0
0.0
0.9
1.3
0.0
1.2
1.2
0.8
0.0
1.3
1.0
0.9
1.6
0.0
0.0
1.2
0.4
1.1
1.4
Frontage
Wetlands
424
575
618
685
604
507
333
487
310
180
325
625
200
100
60
90
100
388
325
169
160
465
50
600
1481
540
870
1000
753
280
533
1090
522
300
1500
207
227
227
0
l
1
1
l
1
Watershed
_.,
Map
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
Lot
15
15A
15B
16
17
18
18A
19
20
20A
21
21
21
21A
22
22A
23
24
24A
25
26
27
28
29
30
31
32
32A
32B
32C
33
34
35
36
38
39
41
42
43
44
Bldg.
Value
Land
Value
Acres
0.0
0.0
0.0
36.7
49 .0
0.0
0.0
0.0
115.4
0.0
0.0
57.6
54 .5
0.0
0.0
0.0
0.0
0.0
65.3
54 .1
85 .8
171.6
63 .9
7.2
73 .3
40.5
10.9
4.6
4.0
1.4
0.8
12.0
8.1
35 .0
12.9
0.0
10.0
0.0
0.8
23 .7
0.8
62.0
7.2
5.2
11 2.0
8.0
30.0
6.3
13 .0
6.0
12.0
0.2
0.2
0.2
0.2
17.3
9.1
3.3
3.3
3.2
10.5
3.1
3.1
3.1
59.5
5.0
0.0
0.0
0.0
0.0
0.0
91.1
0.0
0.0
0.0
143 .5
58 .1
0.0
61.4
0.0
65 .5
44.1
48 .8
37.9
27.4
54.7
48 .6
78 .1
77.5
0.0
60 .2
0.0
34.4
50.8
5.0
70.7
47 .9
52.9
69 .4
57 .1
75.4
54.6
64.0
54 .1
62.7
3.7
1.3
3.7
3.7
18.8
58 .7
38.2
38.2
39.0
60.5
44.6
37.8
44.6
46.0
Land
Zoning
Use
5.9
13
10
13
1
1
13
15
10
2
10
1
4
1
10
13
10
13
13
1
1
1
1
1
1
1
1
13
13
13
13
15
1
13
13
13
1
1
15
1
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
2
3
5
2
1
1
3
3
4
6
3
1
3
3
4
3
I
1
1
3
II of
Stories
0.0
0.0
0.0
1.0
1.0
0.0
0.0
0.0
1.5
0.0
1.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
1.5
1.0
1.0
2.0
1.0
1.0
2.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
0.0
0.0
2.0
1.0
0.0
1.0
0.0
Occupancy
Heat
Type
II of
II of
Beds
Baths
1
1
1
2
3
3
2
2
5
I
2
2
3
2
1
I
1
1
1
1
1
1
0
1
2
3
2
2
2
1
1
2
0
4
4
2
1
2
2
2
3
I
I
2
2
4
3
I
2
2
125
0.0
0.0
0.0
1.0
1.0
0.0
0.0
0.0
2.0
0.0
1.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
1.5
1.0
2.0
1.5
1.0
0.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
0.0
0.0
2.5
1.0
0.0
1.0
0.0
Total
Rooms
Year
Built
5
5
1945
1964
1
1780
5
1850
1900
1950
3
5
5
1972
1900
1700
1981
1900
1930
1987
7
1987
1
6
1987
1969
5
1979
3
8
8
6
2
!st
Floor
0.0
0.0
0.0
0.7
0.8
0.0
0.0
0.0
1.7
0.0
1.0
0.8
Frontage
425
0
300
400
200
100
0
105
2400
270
220
0.5
0.0
0.0
0.0
0.0
0.0
0.8
1.2
1.3
1.3
1.1
0.8
0.6
0.0
0.0
0.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
1.5
1.0
0.0
0.9
0.0
0
50
0
800
580
475
2400
1125
914
75
1450
10
268
400
0
0
0
0
325
127
132
197
654
200
215
234
700
Wetlands
Watershed
,.,
Map
15
15
15
15
15
15
15
15
15
15
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
Lot
46
46A
47
47A
48
48A
49
50
51
52
1
2
3
4
4A
5
6
7
8
9
10
11
12
13
13A
15
15
16
16A
17
18
19
20
20A
21
21A
21B
21C
22
22A
Bldg.
Value
Land
Value
Acres
104.4
0.0
79.3
0.0
0.0
0.0
0.0
0.0
79 .7
0.0
91.1
0.0
0.0
121.9
70.5
0.0
78.5
0.0
9.3
68.2
61.1
71.6
0.0
0.0
0.0
96.4
96.4
68 .8
88.2
57.6
83.5
59 .3
94.1
0.0
0.0
0.0
107.7
147.9
123.6
0.0
58 .2
4.9
64.9
139.9
55 .8
49 .2
43 .1
112.0
35 .3
92.5
74.4
62 .9
61.5
53.1
61.4
17.0
50 .0
7.4
36 .6
40.1
47 .3
43 .0
32.0
122.7
3.2
38.9
0.0
53 .7
56.4
41.8
75 .8
39.6
50.1
43 .1
42.4
50.7
47.8
51.6
66.5
65.8
8.7
0.8
32.7
23 .3
28 .9
15 .5
4.5
120.0
0.9
80.0
28 .0
100.3
20.0
5.3
11.1
2.0
4.3
1.0
1.0
2.0
3.5
2.6
1.5
140.0
0.9
2.2
0.0
7.1
8.8
3.0
40.0
2.3
4.7
5.3
5.7
10.6
4.2
5.7
15 .3
92 .4
Land
Zoning
Use
1
10
1
10
13
13
13
13
1
13
1
13
13
1
1
13
1
13
1
1
1
1
15
33
13
1
1
1
1
1
1
1
1
13
13
13
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
I
I
13
Bldg.
Grade
3
4
3
3
4
3
3
3
3
3
4
3
3
3
3
3
4
3
3
3
5
5
II of
Stories
2.0
0.0
1.5
0.0
0.0
0.0
0.0
0.0
1.0
0.0
1.5
0.0
0.0
1.0
1.0
0.0
1.0
0.0
1.0
1.0
1.5
1.0
0.0
0.0
0.0
1.5
1.0
1.0
1.0
2.0
2.0
1.0
1.0
0.0
0.0
0.0
1.5
1.0
2.0
0.0
Occupancy
1
Heat
Type
II of
Beds
2
5
2
2
4
1
2
3
1
2
3
I
1
2
2
3
2
1
2
2
1
1
1
1
2
3
2
4
1
4
2
2
1
1
1
1
1
1
1
1
2
2
4
2
2
2
2
2
3
3
3
3
2
5
3
2
1
2
2
2
2
3
5
4
I
126
II of
Baths
3.0
0.0
2.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
1.5
0.0
0.0
3.0
1.0
0.0
1.0
0.0
1.0
2.0
1.5
1.0
0.0
0.0
0.0
2.0
1.0
1.0
1.5
1.0
1.0
1.0
1.0
0.0
0.0
0.0
2.0
2.0
3.0
0.0
Total
Rooms
Year
Built
11
1900
10
1800
6
1955
7
1770
8
5
1977
1976
4
1977
3
7
5
4
1966
1956
1940
1790
6
1
5
6
6
14
6
5
1940
1940
1986
1965
1954
1800
1900
1984
7
15
8
1976
1880
1750
lat
Floor
1.1
0.0
1.3
0.0
0.0
0.0
0.0
0.0
1.2
0.0
2.6
0.0
0.0
1.5
1.0
0.0
1.4
0.0
0.6
1.7
0.8
0.8
0.0
0.0
0.0
0.8
1.2
0.9
1.5
0.7
1.3
1.3
1.1
0.0
0.0
0.0
1.2
1.1
1.1
0.0
Frontage
Wetlands
Watershed
800
0
0
0
700
300
200
2000
200
2600
1350
525
450
300
700
400
650
400
250
572
300
550
400
3800
300
202
300
360
416
1150
200
320
490
350
670
350
288
630
150
1
1
1
1
1
1
1
1
1
1
1
1
I
Map
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
Lot
23
23A
23B
23C
230
24
25
25A
25B
25C
250
25E
25F
25G
25H
251
251
26
27
27A
278
27C
270
27E
27F
27G
27H
271
28
29
30
30A
30B
31
32
33
34
34A
35
35A
Bldg.
Value
102.0
119.2
98 .0
98.0
103 .4
5.4
0.0
126.4
165.1
83 .6
106.3
206 .0
0.0
106.2
127.8
109.8
0.0
97.0
0.0
102.8
86 .3
144.3
166.7
0.0
95.5
0.0
64.2
135 .8
0.0
108.2
139.5
116.9
91.8
61.4
101.5
57.4
113 .0
n.o
73 .9
71.5
Land
Value
Acres
68 .1
55 .0
66.8
62.6
67.1
44.6
65 .9
53.5
54.5
54.7
52.9
57.3
50. l
59 .9
50.3
50.3
44.6
54.9
56 .0
51.6
68 .2
53 .7
67.0
61.4
52.5
44.2
52.1
63.4
78.1
64.7
61.5
54.1
53.6
37.1
69 .9
78.1
65 .9
55.3
60.8
72.5
17.9
6.6
15 .7
12.0
16.2
3.1
33.4
5.6
6.3
6.4
5.2
8.2
8.7
10.1
4.8
4.8
5.0
6.5
13 .0
4.6
18.0
5.7
17.5
28 .3
5.0
4.7
4.7
12.6
50.0
13.5
11.2
6.0
5.6
1.2
20.5
35 .0
21.5
5.5
10.7
25 .0
Land
Zoning
Use
1
1
1
1
1
11
13
1
1
1
1
1
13
1
1
1
13
1
13
1
1
1
1
13
1
13
1
1
13
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
4
4
4
3
4
4
5
4
5
5
4
4
4
3
3
4
5
4
4
3
4
3
5
4
4
3
3
3
5
3
3
3
II of
Stories
1.5
1.5
1.0
1.0
2.0
0.0
0.0
1.5
2.0
1.5
3.0
2.0
0.0
3.0
2.0
1.5
0.0
1.0
0.0
2.0
1.5
1.5
1.0
0.0
1.5
0.0
1.5
2.0
0.0
1.0
1.5
2.0
1.5
1.0
1.0
1.0
2.0
1.0
1.0
1.5
Occupancy
Heat
Type
II of
Beds
1
1
1
1
1
2
2
4
2
2
4
4
3
3
3
1
1
1
1
1
2
2
2
2
2
4
4
3
3
3
1
1
1
2
2
2
2
3
2
1
2
2
1
1
1
1
2
2
2
2
3
2
2
3
1
2
3
1
1
3
2
2
4
1
1
1
1
1
1
1
1
1
1
1
2
2
2
4
2
1
2
2
2
2
2
2
3
3
2
2
3
3
4
2
3
2
127 .
II of
Baths
2.0
2.0
2.0
2.0
1.5
0.0
0.0
2.5
2.5
2.0
1.5
3.5
0.0
1.0
2.5
2.0
0.0
1.0
0.0
2.0
1.0
2.0
2.5
0.0
2.0
0.0
1.0
2.0
0.0
1.5
2.0
2.0
2.0
1.0
2.0
1.0
2.0
1.0
1.0
1.0
Total
Rooms
Year
Built
7
7
6
5
7
1985
1978
1980
1979
1985
7
8
6
5
7
1971
1985
1985
1985
1986
5
7
6
1988
1987
1988
5
1930
7
7
6
9
1977
1900
1986
1987
5
1988
6
8
1988
1988
5
6
7
6
5
6
5
8
6
5
5
1953
1977
1975
1979
1945
1945
1900
1800
1983
1980
1979
Frontage
lat
Floor
1.0
1.3
1.0
1.8
0.8
0.0
0.0
1.5
1.8
0.8
0.9
1.7
0.0
1.2
1.2
1.4
0.0
2.0
0.0
1.2
1.4
1.5
3.1
0.0
1.0
0.0
0.9
1.2
0.0
1.8
1.4
1.1
1.0
1.0
1.0
1.0
1.0
1.1
1.2
0.8
300
300
300
300
300
190
1000
550
300
300
300
320
300
300
300
300
300
400
300
310
480
492
300
300
300
300
300
305
0
125
392
320
514
240
660
410
580
400
430
400
Wetlands
1
1
1
1
1
1
1
1
1
1
1
Watershed
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
,.,
Map
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
Lot
37
37A
37B
37C
370
38
38A
38B
38C
380
39
40
41
42
43
44
45
46
47
48
49
49A
49B
49C
490
50
51
52
53
53A
53B
54
55
56
58
59
60
61
62
62A
Bldg.
Value
Land
Value
Acres
30.4
0 .0
0 .0
0.0
0.0
82.l
111.2
81.2
76 .1
0.0
73 .3
180.3
8.6
104.1
60.0
80.7
80.9
12.8
133 .0
0.0
0.0
110.6
72.5
70.4
24.6
117.0
0.0
52.6
81.9
79.3
0.0
0 .0
163 .1
118.0
195 .6
46 .9
0.0
52.7
77.2
0.0
52 .l
52.2
52.2
52 .5
52.5
70.8
67 .7
53.4
58.9
5.1
41.2
50 .5
43 .1
48 .4
53 .2
45 .5
41.8
39.1
50.1
50.1
289 .8
50.1
50 .9
50 .9
53.3
35 .8
31.0
51.4
67.6
50.0
50.1
47.6
80.8
81.0
98 .7
44.4
76.5
56 .2
60.1
31.3
4.6
4.7
4.7
5 .0
5 .0
24.8
17.0
5 .5
9.2
0.4
2.3
5 .0
3.1
4.3
6.7
3.7
3.0
2.3
4.7
10.0
222 .9
4.6
5.2
5.2
6.9
1.4
1.6
5 .5
17.2
4.6
4.7
7.0
49.2
40.7
73 .4
3.0
56.0
7.3
10.0
1.1
Land
Zoning
Use
l
13
13
l
l
1
1
1
1
13
1
1
l
1
l
6
1
l
1
79
13
1
1
l
l
1
13
1
I
I
13
13
I
1
I
I
13
I
I
13
l
l
l
l
l
1
1
l
1
1
1
1
1
1
1
l
1
1
1
1
1
1
1
1
1
1
I
I
I
1
I
1
1
1
I
1
I
1
1
1
Bldg.
Grade
2
4
4
3
3
3
5
3
3
2
3
3
3
4
4
3
3
3
4
3
3
3
4
3
6
3
3
3
II of
Stories
1.0
0.0
0.0
0.0
0.0
1.0
2.0
1.5
1.0
0.0
1.0
2.0
1.0
1.0
1.0
0.0
1.0
1.0
2.0
0.0
0 .0
2.0
1.0
1.0
1.0
2.0
0.0
1.0
1.0
1.5
0.0
0.0
1.0
2.0
2.0
1.5
0.0
1.0
1.0
0 .0
Heat
Type
II of
Beds
l
l
l
1
1
1
1
2
2
2
2
3
3
3
3
l
l
1
l
l
1
l
1
1
2
4
2
2
2
2
2
3
2
2
4
2
3
4
1
1
1
1
I
2
2
2
1
2
4
3
3
I
4
1
l
1
2
2
2
2
3
3
I
1
I
I
4
2
2
2
3
3
4
2
1
1
4
2
I
3
Occupancy
128
2
2
4
II of
Baths
1.0
0.0
0.0
0.0
0.0
1.0
2.0
1.0
1.0
0.0
1.0
4.0
1.0
2.0
1.0
0.0
1.5
1.0
2.5
0.0
0.0
2.0
1.5
2.0
1.0
3 .0
0.0
1.0
1.0
2.0
0.0
0 .0
2.5
2.0
2.5
1.0
0.0
1.0
1.0
0.0
Total
Rooms
Built
Year
2
1900
5
6
2
6
1821
1980
1978
1977
4
10
4
6
10
6
4
8
1979
1974
1970
1987
1955
1958
1973
1961
1970
8
5
6
3
7
1955
1979
1978
1940
1960
4
5
7
1942
1984
1988
7
6
8
4
1972
1940
1966
1950
6
6
1945
1986
ht
Floor
0.7
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.2
0.0
1.0
1.8
0.9
1.4
1.8
1.5
1.2
1.0
1.4
0.0
0.0
1.5
1.1
0.9
0.4
1.5
0.0
0.8
1.0
0.9
0.0
0.0
2.4
1.1
1.6
0.6
0.0
1.1
1.3
0.0
Frontage
300
300
300
310
325
920
460
300
460
200
973
260
340
600
335
250
500
400
50
550
375
300
300
410
150
300
169
694
300
744
466
400
500
900
759
450
420
350
400
Wetlands
1
1
1
1
Watershed
l
l
l
l
l
l
l
1
1
l
1
1
1
1
1
1
1
_,
Map
16
16
16
16
16
16
16
16
16
16
16
16
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
Lot
62B
62C
63
64
65
65A
66
67
68
70
71
72
I
2
3
4
5
6
7
8
9
10
11
13
14
15
16
17
18
19
20
21
22
22A
23
23A
23B
23C
230
24
Bldg.
Value
Land
Value
Acres
72.4
0.0
67.1
279 .1
0.0
172.0
0.0
0.0
118.7
0.0
0.0
0.0
52.0
119.7
106.1
84.9
93 .6
175.7
0.0
90.7
94.0
14.5
0.0
0.0
118.4
0.0
88.5
0.0
54.l
43 .1
52.9
119.7
45.4
54 .7
9.0
63 .1
68 .8
21.9
15.8
30.9
36 .6
54.3
73.4
44.4
55 .6
76 .1
32.1
58.7
34 .8
31.4
3.5
5.7
31.4
5.7
31.4
3.8
50.6
29 .4
31.4
52.1
59 .6
58.8
55 .7
49 .4
50.8
45 .1
45 .8
88.5
6.0
4.5
5.2
118 .0
90.5
55.8
95 .6
120.6
0.0
0.0
99 .0
0.0
0.0
0.0
0.0
112.6
5.5
6.4
6.0
22.5
19 .0
22.0
12.0
1.0
1.0
6.1
26 .6
3.0
7.0
31.0
1.3
10.7
1.0
0.8
1.2
0.4
0 .7
0.4
0.8
0.3
5.0
0 .6
0.6
6.0
21.3
21.3
8.4
9.5
10.7
6.6
7.2
62.2
Land
Use
1
13
1
1
13
12
15
13
1
13
15
80
I
1
1
1
1
1
13
1
1
5
13
13
1
13
1
13
1
1
3
1
13
13
1
13
13
13
13
1
Zoning
1
1
1
I
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
3
3
1
1
1
l
1
l
l
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
6
5
4
3
5
3
4
4
5
3
3
1
3
3
3
3
3
3
3
5
II of
Stories
1.5
0.0
1.0
1.5
0 .0
2.0
0.0
0.0
2 .0
0.0
0.0
0.0
1.0
1.5
2.0
2.0
2.0
2 .0
0.0
1.0
1.0
0.0
0.0
0.0
1.0
0.0
1.0
0.0
1.0
1.0
1.0
1.5
0 .0
0.0
2.0
0.0
0.0
0.0
0.0
1.0
Heat
Type
II of
Beds
1
4
3
I
1
2
2
2
2
1
2
3
Occupancy
1
2
3
1
1
1
1
1
1
2
2
3
2
2
2
I
2
3
3
3
4
1
1
2
2
1
3
1
2
3
1
2
3
1
l
6
l
2
2
2
2 ·
3
2
5
3
1
3
4
1
2
3
129
II of
Total
Rooms
Year
Built
1st
Floor
1.5
0.0
1.0
2.0
0.0
2.5
0.0
0.0
5
1986
4
5
1985
1987
1.0
0 .0
0.9
2.6
0.0
670
480
300
1030
9
1971
1.8
731
0
1.5
7
1989
5
1910
1825
1972
1982
1986
1938
Baths
0.0
0 .0
0 .0
1.0
1.0
2.0
1.5
1.5
2.0
0.0
2 .0
2 .0
0.0
0.0
0.0
2.0
0 .0
2 .0
0.0
2 .0
1.0
0 .0
2 .5
0.0
0.0
2.5
0 .0
0.0
0.0
0.0
1.5
7
5
6
6
10
9
6
1845
1970
1945
9
1975
6
1964
6
4
1970
1964
1980
1980
7
7
1988
9
1779
0.0
0.0
1.4
0 .0
0.0
0.0
0.8
1.1
1.2
0.8
1.0
1.3
0.0
1.1
1.2
3.7
0.0
0.0
2.0
0.0
1.8
0.0
1.5
0.8
1.9
1.8
0.0
0.0
0.9
0.0
0.0
0.0
0.0
1.4
Frontage
Wetlands
Water-
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
l
l
l
1
1
l
1
1
1
1
1
1
1
1
abed
559
500
600
0
0
525
250
336
75
300
800
750
1350
299
200
1100
400
510
600
250
150
450
1
50
1
1
1
1
1
250
414
425
425
300
1655
1
..,,
Map
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
Lot
24A
25
25A
26
27
28
30
JOA
JOB
31
32
32A
33
33A
34
34A
34B
34C
340
35
35A
36
37
38
39
39A
40
40A
41
42
42A
44
45
46
46A
46B
46C
47
47A
47AA
Bldg.
Value
Land
Value
Acres
0.0
85 .7
0.0
76.7
49.7
52.0
75 .7
0.0
176.9
81.1
57.6
0.0
0.0
0.0
114.0
0.0
0.0
89 .7
0.0
0.0
0.0
73 .8
35 .3
15 .2
97.0
0.0
0.0
0.0
234 .1
0.0
0.0
34.3
66.7
84.3
0.0
68.2
110.9
84.4
0.0
65 .1
52.7
50.1
41.2
44.2
52.5
52.5
56.2
4.6
52.0
41.8
64.4
12.0
69 .7
9.2
70.8
32.0
3.3
52.6
44.6
31.3
112.2
55 .6
53.4
36.4
112.9
61.5
68 .7
190.3
63 .6
113.8
42.5
52.6
76 .2
53 .2
3.5
52.5
52.1
42.5
7.7
16.3
8.8
4.7
4.5
2.9
4.9
4.9
7.4
0.3
4.6
2.5
13 .3
2.0
34.5
1.5
44 .1
5.3
0.5
5 .0
5 .0
38.5
18.7
7.0
5.5
1.0
101.4
20.0
32.3
31.7
13 .0
122.0
3.9
5.0
31.6
5.4
2.4
4.9
4.6
2.5
1.5
0.2
Land
Use
10
1
13
1
1
1
1
13
1
1
1
10
13
10
6
10
10
1
13
13
10
1
1
1
1
13
13
10
80
13
13
1
1
1
13
1
1
1
13
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
5
3
3
3
3
4
3
3
3
3
3
4
3
4
3
2
3
3
3
3
3
3
#of
Stories
0.0
1.0
0.0
1.0
1.0
1.0
1.0
0.0
1.0
1.5
1.0
0.0
0.0
0.0
0.0
0.0
0.0
1.5
0.0
0.0
0.0
1.0
1.5
1.0
1.5
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
0.0
1.0
2.0
1.0
0.0
1.0
Occupancy
Heat
Type
#of
Beds
1
2
3
1
1
1
1
2
2
2
2
3
2
1
3
1
1
1
2
2
2
3
3
3
1
1
1
2
1
1
1
1
4
2
2
2
1
3
3
2
4
2
1
1
1
1
2
2
3
3
3
1
1
1
4
2
2
2
3
3
1
2
3
130
#of
Baths
0.0
1.5
0.0
1.0
1.0
1.0
2.0
0.0
2.5
1.5
1.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
1.0
2.0
1.0
1.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
0.0
1.0
2.0
1.0
0.0
1.0
Total
Rooms
Year
Built
6
1850
6
6
4
6
1974
1958
1955
1930
8
6
5
1989
1930
1981
1977
5
6
7
5
9
1985
1987
1989
1976
1870
1955
6
1916
1925
1988
4
7
6
1987
1987
1987
6
1958
5
5
ht
Floor
0.0
1.0
0.0
1.3
1.0
0.9
1.2
0.0
3.4
1.1
0.8
0.0
0.0
0.0
5.4
0.0
0.0
1.5
0.0
0.0
0.0
1.2
1.2
0.8
1.4
0.0
0.0
0.0
7.6
0.0
0.0
0.8
0.6
1.3
0.0
1.1
1.2
1.2
0.0
1.6
Frontage
0
942
0
281
318
306
520
21
300
330
50
0
1200
0
1250
0
0
0
0
0
900
150
186
1850
1200
1000
260
125
950
1050
579
960
0
300
300
266
Wetlands
Water-
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
shed
....
Map
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
Lot
47AB
47AC
47AD
47AE
47AF
47AG
47AH
47AJ
47AK
47AM
47AN
47AP
47AQ
47AR
48
49
50
51
52
53
54
54A
55
57
57
57
58
58A
59
60
62
63
63A
638
64
65
66
67
68
69
Bldg.
Value
56.9
65 .5
57 .8
66 .3
60.6
60.4
67.4
61.4
62.9
67.5
65 .6
63.5
57.2
59.3
50.8
39.4
108.0
75 .6
142.5
41.3
79.6
0.0
105.0
0 .0
469 .1
0.0
126.0
81.5
96.4
43 .1
122.6
51.7
64.0
63 .8
0 .0
30.4
31.9
28.2
4.8
5.2
Land
Value
Acres
16.3
18.2
19.0
20.0
18.2
20.0
16.3
22.0
18 .2
21.2
18.2
20.0
19 .7
18.2
53 .0
42 .5
40 .3
47.0
60.9
44.0
60 .2
5.8
52.2
0.0
125.1
0.0
72.7
76 .9
46 .0
44.6
54.3
52.6
55.6
71.0
63 .6
29 .4
27.9
32.2
20.0
20.0
0.2
0.2
0.2
0.3
0.2
0.3
0.2
0.3
0.2
0.3
0.2
0.2
0.2
0.2
6.0
2.5
2.5
4.0
17.5
3.5
15 .3
9.0
6.1
4 .6
34.7
0.0
32.0
32.7
3.2
3.1
6.1
5.0
7.0
22.1
23 .0
0.5
0 .5
0.7
0.2
0 .2
Land
Use
I
I
I
I
I
I
I
I
1
1
1
1
1
I
I
1
6
I
1
1
1
13
I
7
7
7
1
1
I
1
1
1
1
1
80
1
1
1
1
1
Zoning
I
I
I
I
I
I
I
I
I
1
I
1
1
I
I
1
I
1
5
5
5
5
5
5
5
5
5
5
I
I
I
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
3
3
3
3
1
I
3
3
3
3
4
3
3
4
3
3
3
1
I
II of
Stories
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.5
1.0
0.0
1.0
1.0
1.0
1.5
0.0
1.0
0.0
0.0
0.0
1.0
1.5
1.0
1.0
2.0
1.0
1.0
2.0
0 .0
1.0
1.0
1.0
1.0
1.0
Heat
Type
II of
Beds
I
I
.1
I
I
I
I
I
1
1
I
1
1
I
I
1
6
1
1
1
I
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
4
4
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
3
1
2
1
2
3
2
2
2
2
2
2
2
· 2
3
3
3
3
3
1
3
1
3
3
1
1
1
2
2
1
I
Occupancy
I
1
I
I
I
1
1
1
1
1
1
0
131
I
4
2
2
3
5
II of
Baths
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
0.-0
1.0
2.0
1.0
2.0
0.0
1.0
0.0
0.0
0.0
1.5
2.0
2.0
1.0
1.5
1.0
1.0
2.5
0.0
1.0
1.0
1.0
0.0
0.0
Total
Rooms
Year
Built
lst
Floor
5
1958
1959
1958
1958
1958
1958
1958
1958
1958
1959
1959
1959
1959
1958
1910
1950
1957
1953
1970
1940
1986
1.2
1.6
1.2
1.6
1.2
1.2
1.2
1.2
1.2
1.6
1.2
1.4
1.2
1.2
0.5
1.0
2.2
1.3
2.3
0.6
1.0
0.0
1.8
12.
1.5
20.
1.6
1.3
1.4
1.0
1.4
0.9
1.0
1.5
0.0
0.9
0.8
0.7
0.2
0.2
6
5
5
5
5
5
5
5
7
5
6
5
5
4
6
4
8
4
5
6
7
1980
1988
1965
1966
1970
1969
1980
1989
1976
1915
1975
1989
3
6
4
3
1
1915
1920
1916
1940
1930
6
7
7
7
7
6
5
Frontage
550
250
690
150
550
350
1383
660
3350
740
1485
531
504
489
346
389
500
100
0
0
0
0
Wetlands
Water-
shed
_,,
Map
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
Lot
70
71
72
73
75
76
77
78
78A
79
79A
80
82
83
84
85
85A
85B
85B
85C
85Cl
86
86A
86Al
86A2
86A3
86A4
86A5
86A6
86A7
88
89
90
92
93
94
96
97
98
99
Bldg .
Value
Land
Value
Acres
5.4
33 .0
29 .6
0.0
52.4
67.5
0.0
0.0
0.0
112.2
107.8
29 .9
10.8
87.6
112.0
95 .3
54.0
68 .7
82.2
89 .2
0.0
118.8
0.0
0.0
97.8
134.l
178.0
132.4
93 .8
0.0
0.0
0.0
0.0
74.2
48 .6
0.0
124.0
75.7
0.0
54.3
35 .3
27 .9
15 .2
62.5
36.7
63.5
32.8
67.0
44 .6
64.0
52.7
40.1
74 .5
55 .8
36.0
53 .2
51.0
58 .1
0.0
52.2
44 .7
71.4
52.3
70.2
52.7
62.7
63 .2
52.6
59.3
51.3
72.0
51.4
53 .2
55 .7
37.6
117.3
56 .4
38.3
27.9
37.9
0 .8
0.2
0.1
22.0
1.0
20.0
1.8
29.0
5 .0
13 .0
5.1
2.0
32.5
7.1
1.6
5 .4
4.5
2 .3
0 .0
4.7
5.1
25 .9
10.4
35 .2
5 .1
12. l
14.2
5.0
9.5
9.5
38.0
9.5
11.0
7.1
1.3
130.0
7.5
1.6
1.0
1.5
Land
Zoning
Use
1
1
1
13
1
1
13
80
13
l
l
1
5
l
l
1
l
1
6
l
13
1
13
13
1
l
l
1
l
13
13
13
13
l
1
13
l
1
80
1
1
1
1
1
1
1
1
1
1
l
l
1
l
3
3
1
3
3
1
l
1
l
l
l
1
1
l
1
l
l
l
1
1
l
1
l
l
1
1
l
Bldg.
Grade
1
3
3
3
3
5
3
2
l
3
3
4
3
3
3
4
5
4
4
4
4
3
3
3
5
3
3
II of
Stories
1.0
1.0
1.0
0.0
1.0
1.0
0.0
0.0
0.0
1.5
1.0
1.0
0.0
1.0
1.0
1.5
1.5
1.5
0.0
1.5
0.0
2.0
0.0
0.0
1.5
1.5
2.0
2.0
1.0
0.0
0.0
0.0
0.0
1.0
1.0
0.0
1.5
1.0
0.0
1.0
Occupancy
Heat
Type
II of
Beds
0
1
1
1
2
3
1
1
1
1
1
2
2
2
2
4
3
1
1
2
2
3
l
4
2
2
2
3
1
2
1
2
4
1
1
l
2
l
2
2
2
3
2
3
3
3
3
3
1
l
2
4
3
2
1
l
2
2
4
3
l
2
2
1
1
l
1
2
1
1
l
132
3
5
3
3
3
3
II of
Baths
0 .0
1.0
1.0
0 .0
1.0
1.0
0 .0
0.0
0.0
2.0
2.0
1.0
0.0
1.0
2.5
2.0
1.0
1.5
0 .0
2.0
0.0
2.0
0.0
0 .0
1.5
3.0
3.0
3.0
2.0
0.0
0 .0
0 .0
0 .0
1.0
1.0
0.0
1.0
1.5
0.0
1.0
Total
Rooms
Year
Built
3
4
3
1940
1918
1940
6
6
1954
1974
7
7
4
7
1740
1971
1935
1860
1980
1955
1987
1930
1925
1930
1987
9
1801
6
8
8
8
5
1984
1988
1986
1986
1986
6
5
1955
1950
8
5
1843
1955
4
1900
7
9
5
7
7
lat
Floor
0.2
0.8
0.7
0.0
1.3
1.1
0.0
0.0
0.0
1.6
1.9
0.5
1.3
1.6
2.3
1.0
0.7
1.1
2.1
0.9
0.0
1.3
0.0
0.0
1.3
1.6
2.0
1.4
1.4
0.0
0.0
0.0
0.0
0.9
1.1
0.0
1.1
1.4
0.0
0.7
Frontage
0
0
0
0
300
200
300
2125
608
685
347
975
600
300
350
300
761
Wetlands
1
1
l
1
306
389
753
291
340
314
320
320
318
306
2400
300
600
741
228
388
372
115
0
355
1
1
l
1
1
l
1
Watershed
1
1
1
1
1
1
1
1
1
l
l
l
1
l
1
l
l
1
l
1
1
l
1
1
l
l
1
l
1
l
l
l
1
l
l
1
l
1
1
1
_,
Map
Lot
17
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
100
1
2
2A
2B
3
4A
4B
s
SA
SB
SC
SD
SE
SF
7
7A
7B
8
9
9
10
11
llA
llB
llC
110
12
12A
13
14
lS
16
17
17A
17B
18
19
19A
19B
Bldg.
Value
0.0
83.4
83 .S
0.0
IS7.6
41.9
0.0
I lS.4
80.9
79.9
0.0
0.0
122.9
0.0
0.0
0.0
96 .S
43.4
106.0
2.1
71.8
290.3
112.0
0.0
0.0
0.0
0.0
0.0
73 .2
89 .6
68 .S
73 .8
97.2
0.0
0.0
0.0
0.0
78.4
93.6
119.4
Land
Value
Acres
Land
Use
13 .S
68 .8
73 .1
S2.8
6S.4
48 .8
17.4
7S .4
103.S
61.5
Sl.9
S2.I
S2 .7
44.6
S2.0
9 .0
19 .0
26 .1
8.8
14.0
4.0
2 .9
30.0
83 .6
11.2
10. 1
10.0
S. 1
lS
I
I
10
1
1
10
1
I
I
13
13
1
13
13
13
1
1
1
1
9
78
1
lS
10
10
10
9
1
1
1
1
1
13
13
13
13
1
1
I
so.s
S0 .2
S2.1
Sl.3
0.0
96 .8
S7.3
111 .0
9.3
4.6
60.2
22.7
99.3
S2.6
69.4
34.6
72.2
S8 .1
4S .3
1.0
6.1
8.S
S2. 1
S2. 1
S6.0
s.o
10.2
10.6
4 .7
4.6
S. 1
0.0
64.0
8.0
98 .2
6.2
0.8
10.0
3.8
81.0
s.o
2S.O
1.0
30.3
10.0
s.s
0.1
o.s
3 .3
4.6
4.6
8 .6
Zoning
I
1
I
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
s
4
6
3
3
s
3
4
4
4
3
2
s
3
6
3
3
3
3
3
3
3
s
#of
Stories
0.0
1.0
1.5
0.0
l.S
1.0
0.0
1.0
1.0
1.0
0.0
0.0
1.5
0.0
0.0
0.0
1.0
1.5
1.0
1.0
2.0
0.0
2 .0
0 .0
0.0
0.0
0.0
0.0
1.0
2.0
1.0
1.0
1.0
o.o·
0.0
0.0
0.0
1.0
2.0
1.0
Occupancy
Heat
Type
#of
Beds
I
I
2
2
4
2
2
I
2
2
s
I
1
4
2
4
4
3
2
1
2
2
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
133
I
2
3
3
3
3
3
2
2
3
2
3
2
4
3
#of
Baths
0.0
1.0
1.5
0.0
2 .S
1.0
0 .0
3.0
1.0
3.0
0.0
0.0
2.S
0.0
0.0
0.0
2.0
2.0
2 .0
1.0
1.0
0 .0
1.5
0.0
0.0
0 .0
0 .0
0 .0
1.0
1.5
1.5
1.0
2.0
0 .0
0.0
0.0
0.0
1.0
1.5
1.0
Total
Rooms
Year
Built
9
6
1720
1987
II
3
1790
1930
7
1
4
1980
1800
1988
7
1989
7
7
8
2
8
8
4
6
7
s
6
s
9
8
1988
1989
1939
1978
1800
19S2
1700
198S
1982
19S2
19SO
1979
1980
1980
1809
lat
Floor
0.0
1.2
0.9
0.0
1.6
0.6
0.0
2.2
1.8
1.2
0.0
0.0
Frontage
Wetlands
1300
1
soo
0
600
23S
0
828
3000
330
300
300
1
I
1
1
I
300
300
934
1
1
1.3
0.0
0.0
0.0
1.2
1.2
1.7
0.5
1.0
13 .
1.3
0.0
0.0
0.0
0.0
0.0
1.2
1.0
1.0
1.5
1.1
0.0
0.0
0.0
0.0
1.0
o.s
1.6
4SO
1200
2400
0
0
0
0
0
0
2000
3SO
1860
100
3SO
13SO
300
1
1
1
1
1
1
1
so
so
1060
187S
300
TI6
1
Watershed
I
1
I
I
I
1
1
I
1
1
I
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
....
Map
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
Lot
19C
190
19E
19F
20
21
22
23
25
26
27
28
29
30
31
32
33
33A
33C
330
33E
33F
33G
34
35
36
36A
37
38
39
39A
39B
40
41
41A
41A
41B
42
43
44
Bldg.
Value
Land
Value
Acres
93.4
0.0
0.0
0.0
68.7
0.0
0.0
136.8
411.6
118 .8
125 .1
70.4
47 .0
0.0
0.0
69 .1
0.0
0.0
0.0
85 .0
0.0
0.0
139.3
48 .7
74.6
92.4
0.0
0.0
0.0
0.0
92.0
0.0
5.1
0.0
55.5
59 .6
179.9
0.0
0.0
0.0
50.6
50.2
69.2
48 .6
95.7
54.9
3.8
100.3
112.7
38.3
74.1
41.8
31.0
73.2
90.6
43 .1
62 .0
7.1
21.4
51.5
44 .1
45.4
55.1
31.4
75.7
59 .0
35.9
27.6
29 .2
44.1
55.5
44.6
41.8
10.3
0.0
61.1
67 .7
112.1
56 .0
88 .7
5.0
10.3
40.0
58 .1
78.0
16.0
1.3
78.0
105.3
2.0
53 .0
3.0
0.8
48.0
78.7
3.3
27 .0
5.0
5.2
5.6
4.7
5.5
7.4
0.9
32.0
10.0
2.5
30.0
1.0
6.0
8.2
5.0
3.0
5.3
0.0
12.0
21.5
125 .0
13.0
70.0
Land
Use
I
13
13
13
1
13
13
1
1
1
1
1
1
13
13
1
13
15
13
I
13
13
1
1
1
1
13
13
13
13
1
13
1
13
1
6
1
13
13
13
Zoning
Bldg.
Grade
1
1
1
1
3
I
3
1
1
1
1
1
1
I
1
6
8
6
5
3
3
I
1
I
3
1
I
1
I
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
5
3
4
3
3
3
3
3
5
#of
Stories
2.0
0.0
0.0
0.0
1.0
0.0
0.0
2.0
2.0
1.5
1.0
1.0
1.5
0.0
0.0
1.5
0.0
0.0
0.0
1.5
0.0
0.0
1.5
1.0
1.0
1.5
0.0
0.0
0.0
0.0
2.0
0.0
1.0
0.0
1.5
0.0
2.0
0.0
0.0
0.0
Occupancy
Heat
Type
#of
Beds
1
2
3
1
2
3
1
1
1
1
1
1
2
2
2
2
2
2
4
4
2
5
3
2
1
2
5
1
2
3
1
1
1
1
2
2
2
2
3
1
3
2
1
2
4
1
2
2
1
2
2
2
3
1
134
2
#of
Baths
1.5
0.0
0.0
0.0
1.0
0.0
0.0
2.0
4.0
1.0
2.0
2.0
1.0
0.0
0.0
1.0
0.0
0.0
0.0
1.5
0.0
0.0
2.0
1.0
1.0
2.5
0.0
0.0
0.0
0.0
1.0
0.0
1.0
0.0
2.0
0.0
2.0
0.0
0.0
0.0
Total
Rooms
Year
Built
1st
Floor
7
1943
5
1966
8
8
6
7
6
5
1870
1981
1949
1941
1947
1950
6
1700
7
1987
8
5
8
8
1988
1940
1775
1900
7
1950
4
1962
6
1950
1950
1978
0.8
0.0
0.0
0.0
1.2
0.0
0.0
1.4
2.6
1.7
1.9
1.0
0.7
0.0
0.0
1.2
0.0
0.0
0.0
1.1
0.0
0.0
1.4
-0.9
1.4
1.6
0.0
0.0
0.0
0.0
1.4
0.0
0.5
0.0
0.8
1.1
2.3
0.0
0.0
0.0
8
Frontage
325
2450
1700
175
3000
583
583
1430
309
125
1750
285
585
486
300
714
300
300
300
147
755
800
1100
1235
400
525
689
302
300
480
453
740
1350
300
Wetlands
Watershed
Map
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
Lot
1
1
2
3
4
5
6
7
8
9
10
11
llA
llB
llB
12
13
13A
14
15
16
17
18
19
20
21
21A
21B
22
23
24
25
26
27
28
29
31
31A
31E
32
Bldg.
Value
Land
Value
Acres
0.0
112.0
72.2
66.1
56 .5
68 .5
122.1
43 .2
45 .6
11.6
70.7
131.2
84.7
0.0
127.3
132.3
44.9
75.6
71.3
52.3
65 .5
63 .9
73.2
0.0
0.0
51.9
100.8
76.5
68.4
69 .2
119.9
0.0
71.8
177.9
81.4
100.1
94.8
263.2
0.0
70.7
0.0
22.8
29.4
31.8
15.6
34.4
37.9
38.9
37.9
29.4
43.0
52.5
52.1
0 .0
53 .3
36 .6
44 .3
35 .3
37.6
36 .6
72.8
32.0
37.6
3.9
3.7
45 .0
52 .4
51.7
33 .9
35 .3
65 .5
46 .1
42.5
69 .5
37.9
40.1
52.6
65 .7
3.8
37.6
0.0
0.3
0.5
0.6
0.2
0.8
1.5
1.7
1.5
0.4
2.6
4.9
4.7
0 .0
5.4
1.0
3 .0
0 .8
1.4
1.0
27 .8
0.5
1.3
1.5
0.2
3 .1
4.9
4.4
0 .8
0 .8
14.0
6.0
2.5
20.0
1.5
2.0
5.0
14.2
0.0
1.3
Land
Zoning
Use
1
1
1
1
1
1
72
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
13
13
1
1
1
1
1
1
13
1
1
1
1
1
1
10
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
2
4
4
4
4
4
3
3
3
3
3
5
3
3
5
5
2
3
3
3
3
3
3
3
2
3
3
3
3
3
5
4
3
3
5
4
II of
Stories
1.0
1.5
1.5
1.0
1.0
1.0
0 .0
1.0
1.0
1.0
2.0
2.0
1.0
1.0
1.0
2.0
1.0
1.0
1.0
2.0
1.0
2.0
1.5
0.0
0.0
1.0
1.0
1.5
1.5
1.0
1.5
0.0
1.0
2.0
1.0
1.0
2.0
2.0
0.0
1.5
Heat
Type
II of
Beds
1
1
1
1
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
2
2
2
2
2
1
2
2
3
2
2
2
2
2
2
2
2
2
2
2
2
2
3
4
5
2
2
3
1
1
1
1
1
1
1
2
2
2
2
2
3
4
3
3
3
2
1
1
1
1
1
1
2
2
2
2
2
2
3
3
4
1
3
3
1
2
3
Occupancy
135
2
1
3
2
3
4
2
4
3
2
4
3
2
3
4
3
II of
Baths
1.0
1.5
2.0
1.0
1.0
1.0
0.0
1.0
1.0
1.0
1.5
2.5
1.5
1.0
1.0
2.0
1.0
1.5
1.0
1.0
1.0
1.5
1.5
0.0
0.0
1.0
2.0
1.5
1.0
1.0
2.0
0.0
1.0
2.5
1.5
1.5
1.5
2.5
0.0
1.0
Total
Rooms
Year
Built
5
8
9
4
5
5
5
5
5
5
7
9
4
9
8
5
7
6
5
6
8
8
1910
1910
1850
1800
1850
1600
1870
1800
1800
1969
1950
1988
1973
1900
1850
1978
1940
1970
1912
1939
1958
1930
1948
5
9
6
7
4
8
1820
1984
1974
1944
1966
1959
6
9
8
6
5
9
1953
1976
1850
1957
1981
1770
6
1843
1st
Floor
1.1
1.0
1.1
1.0
0.6
0.9
1.6
0 .6
1.1
1.0
0.7
0.9
1.1
0.6
1.5
1.2
0 .8
1.0
1.2
0 .4
1.1
0.9
0.9
0.0
0.0
1.4
1.5
1.0
0 .9
0.8
1.1
0.0
1.0
1.8
1.4
1.6
0.9
2.9
0.0
0.9
Frontage
95
85
120
65
211
245
211
260
165
200
306
306
814
418
406
125
200
160
2160
149
350
534
175
575
190
200
337
1230
340
670
420
200
300
659
98
Wetlands
Watershed
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
.,,,
Map
19
19
19
19
19
19
19
19
19
19
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
Lot
33
34
35
36
37
38
39
40
41
42
CEMl
CEM2
CEM3
2
3
4
5
5
6
7
8
9
10
12
13A
13B
14
15
16
17
18
19
19A
20
21
22
23
24
25
26
Bldg.
Value
9.3
45.2
68.3
62.5
80.1
52.4
58.4
62.5
76.8
0.0
0.0
2.0
0.0
75 .1
68.2
112.6
280 .5
0.0
64.1
131.7
63 .0
0.0
0.0
62.3
0.0
0.0
222.6
147.5
69 .9
88 .5
0.4
0.0
121.5
0.0
0.0
59 .6
80.l
68.l
52.5
72.2
Land
Value
Acres
54.1
36.6
63 .0
28 .6
64.0
40.8
33.7
37.9
40.4
59.1
55 .3
34.5
32.8
19.9
20.0
19 .2
117.4
0.0
47 .3
44.4
22.7
57.4
1.2
36.9
24.4
44 .l
36.8
33 .0
41.8
61.8
49 .1
61.5
52.3
70.5
31.1
36.6
41.8
32.2
31.1
20.4
6.0
1.0
13 .0
0.5
13.0
2.1
0.8
1.5
2.1
2.0
6.8
0.8
0.6
0.2
0.2
0.3
19.0
0.0
3.5
3.0
0.2
14.0
0.1
1.1
14.8
4.6
0.5
0.8
2.4
21.8
8.0
27.0
4.8
45 .0
1.0
1.0
2.4
0.7
0.6
0.2
Land
Zoning
Use
80
1
1
1
1
1
I
I
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
1
1
1
1
l
l
1
1
1
1
1
1
1
1
1
l
1
l
l
l
l
l
l
13
70
70
70
78
1
76
78
78
1
1
78
13
78
1
13
13
72
1
1
1
13
. 13
l
15
13
l
l
l
l
l
I
Bldg.
Grade
3
4
3
3
3
3
4
4
2
4
3
3
3
3
4
2
3
1
5
4
4
4
3
3
3
4
3
#of
Stories
0.0
1.0
1.5
1.0
1.0
1.0
1.5
1.0
1.0
0.0
0.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
2.0
2.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
2.0
1.5
1.5
0.0
0.0
2.0
0.0
0.0
1.0
2.0
1.5
1.5
1.5
Occupancy
Heat
Type
#of
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
3
2
2
5
3
3
1
2
0
1
2
2
2
2
2
4
2
2
1
1
Beds
3
3
3
1
2
1
1
1
2
2
2
2
3
3
2
l
2
4
l
l
l
1
l
2
2
2
2
2
136
2
2
3
3
3
3
#of
Baths
0.0
1.0
1.0
1.0
1.0
1.0
1.5
1.0
1.5
0.0
0.0
0.0
0.0
0.0
1.5
0.0
0.0
0.0
2.0
2.0
0.0
0.0
0.0
1.0
0.0
0.0
0.0
1.5
2.0
2.0
0.0
0.0
1.5
0.0
0.0
1.0
l.5
1.0
1.0
2.0
Total
Rooms
Year
Built
7
4
4
9
8
5
6
6
1800
1780
1922
1930
1939
1940
1880
1969
7
7
7
1953
1800
1875
1875
1796
1967
1987
1919
5
1964
10
8
8
1882
1830
1900
1969
8
1965
4
7
7
6
9
1951
1906
1806
1900
1930
1st
Floor
0.0
0.7
0.9
0.9
0.9
1.0
1.1
0.8
1.0
0.0
0.0
0.0
0.0
2.0
0.8
2.0
1.3
1.7
0.6
1.4
1.1
0.0
0.0
1.1
0.0
0.0
3.2
2.4
1.1
1.2
0.0
0.0
1.2
0.0
0.0
1.1
0.9
1.1
0.5
1.4
Frontage
320
220
700
150
103
610
115
315
233
0
75
280
160
570
300
297
290
1010
44
140
413
211
811
463
220
1180
960
515
264
190
443
131
150
65
Wetlands
Watershed
__,
Map
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
21
21
21
21
21
21
21
21
21
21
21
21
21
Lot
27
28
29
30
31
32
33
34
35
37
37A
37C
370
38
39
40
41
42
43
43A
45
46
47
48
49
so
51
IA
2
3
4
s
6
7
8
9
10
11
12
13
Bldg.
Value
0 .0
64.1
59 .8
94.3
67.0
0.0
64.4
0.0
84.3
87.2
78.6
92.3
63.4
49 .8
83 .2
74.6
16.7
SS .8
16.7
52.8
0.0
112.4
53 .9
70.8
84 .3
0.0
79 .S
0.0
50.7
71.7
56.S
120.6
90.8
58 .4
74.8
62 .0
114.8
0.0
105 .3
99 .0
Land
Acres
Value
28.1
62.6
33 .9
37.9
34.S
30.9
37.6
30.9
39 .0
69 .S
54 .8
67 .3
52.6
44.4
46.7
40.1
18 .6
26 .3
22 .7
42.0
3.1
20.S
42.S
44.4
47.3
1.6
28 .4
44 .l
20.0
53.4
47.3
51.0
56 .1
38.3
37.1
47.3
47.4
250.4
36.6
28.6
0.8
11.9
0.7
1.4
0.8
1.0
1.3
1.0
1.8
20 .0
7.3
16.0
5.0
3.0
3.4
2.0
0.3
0.2
0.3
2.4
0 .5
0.2
2.S
3.0
3 .S
1.0
0.3
4.7
0.3
s.s
3.S
4.S
7.4
1.6
1.2
3.S
3.8
23 .9
1.0
0 .5
Land
Use
13
1
1
1
1
13
1
13
1
1
1
1
1
1
2
1
1
1
1
1
13
4
1
1
1
15
6
13
1
1
1
1
1
1
1
1
2
10
1
1
· Zoning
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
4
3
3
3
4
3
3
3
3
3
3
1
3
3
4
3
3
3
3
3
3
3
3
s
4
3
3
3
s
s
s
II of
Stories
0.0
1.0
1.5
1.5
1.0
0.0
1.0
0.0
1.0
1.0
2.0
2.0
1.0
2.0
1.0
1.0
1.0
1.0
1.0
1.5
0.0
0.0
1.0
1.0
1.0
0.0
0.0
0.0
2.0
1.5
1.0
2.0
2.0
2 .0
1.0
2.0
2 .0
0 .0
1.0
2 .0
Heat
Type
II of
Beds
1
1
1
1
2
2
2
2
2
3
3
4
1
2
3
1
1
1
1
1
1
2
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
1
2
3
4
4
3
2
1
1
1
1
2
2
2
2
Occupancy
s
3
2
4
1
2
3
3
3
2
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
3
4
3
4
4
3
3
3
1
1
2
2
4
4
137
s
II of
Baths
0.0
1.0
1.0
2.0
1.0
0.0
1.0
0.0
2.0
2.0
1.5
2.0
1.0
1.0
2.0
1.5
1.0
1.0
o.s
1.0
0.0
0 .0
1.0
1.0
1.0
0.0
0.0
0.0
1.0
1.0
1.0
2.0
1.0
1.0
2 .0
1.0
2.0
0.0
1.5
1.5
Total
Rooms
Year
Built
s
6
6
6
1934
1850
1989
1963
s
1979
7
7
7
7
6
4
10
6
8
6
3
1964
1782
1972
1978
1974
1936
1960
1960
1900
1930
1930
1925
s
s
10
6
1900
1950
1910
1969
1960
6
7
6
6
8
7
7
7
10
1900
1944
1966
1850
1790
1900
1950
1935
1880
10
8
1720
1800
1st
Floor
0.0
1.0
1.1
0.9
0.9
0.0
1.0
0 .0
1.3
1.3
0.8
0.9
0.8
0.6
1.3
1.5
0.7
1.2
0 .5
0.7
0.0
2.4
1.0
1.2
1.6
0.0
1.8
0.0
0.6
0.8
1.0
1.0
1.3
0.6
1.2
0.9
1.6
0.0
1.7
1.2
Frontage
105
300
390
230
150
175
185
175
225
1283
300
300
Wetlands
1
1
447
llO
200
85
176
llO
680
616
540
355
390
257
0
80
300
370
510
192
850
548
235
257
0
620
525
570
100
1
1
1
1
1
Watershed
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
.1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
.,,,
Map
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
22
22
22
22
22
22
22
22
22
22
22
22
22
22
Lot
14
15
16
17
18
19
19A
20
21
22
23
25
26
27
28
28
29
30
31
32
33
35
3SA
3SB
36
36A
CEM
1
IB
2
3
4
s
s
6
7
8
SA
9
9
Bldg .
Value
66 .7
72.S
65.6
11.7
67.7
70.6
91.1
78.0
127.9
60.1
85 .2
69 .8
68 .0
31.8
37 .3
53.6
0.8
0.0
0 .0
86.t
221.0
0.0
90.7
74.S
56 .9
67.0
0.0
49.9
42.9
54 .2
82 .8
56 .1
0.0
139.6
87.4
58 .2
64.S
0.0
72.3
0 .0
Land
Value
Acres
29.3
20.0
36.6
52.6
45.3
Sl.O
39.6
52.l
3.3
4.S
3.S
4.6
SS.3
1.S
40.1
41.l
33.0
2.0
2.3
0.7
0.4
0.2
0 .4
0.4
3 .0
l.S
21.S
8.0
15 .1
4.8
10.0
8.4
1.8
4.8
1.7
2.S
7.7
2.8
0.7
0.3
0 .0
50.0
17.0
9.S
19 .0
56.2
6.S
53 .6
48 .3
79 . 1
38.3
52. 1
49 .8
38.9
52.3
38 .S
42.S
56.6
43 .1
33 .1
15.9
0.0
29 .S
Sl.O
23.0
35 .3
1.9
60.0
0.0
0.4
0.3
1.0
s.o
o.s
4.S
0.3
0.8
l.S
9.9
0.0
Land
Use
6
1
1
I
1
1
1
I
1
1
I
I
6
1
1
s
s
15
13
I
6
13
1
1
1
1
70
1
1
1
I
78
2
2
1
72
1
13
1
1
Zoning
1
1
1
1
1
1
1
1
1
1
1
3
3
3
3
3
3
1
1
1
I
1
1
1
1
1
I
I
1
1
1
1
1
1
1
1
1
1
1
I
Bldg.
Grade
2
3
3
3
3
3
s
s
3
3
3
2
2
2
3
3
4
4
3
3
3
2
3
2
3
2
3
s
3
1
3
3
3
II of
Stories
0.0
2.0
1.0
0.0
1.0
l.S
1.0
1.0
2.0
1.0
1.0
2.0
0.0
1.0
1.0
0 .0
0.0
0.0
0.0
1.0
0 .0
0 .0
1.0
1.0
1.0
1.0
0.0
1.0
1.0
1.0
1.0
0.0
l.S
2.0
l.S
0.0
1.0
0.0
1.0
1.0
Occupancy
1
1
1
1
1
1
1
1
1
1
I
1
Heat
Type
II of
Beds
2
2
2
s
2
2
2
4
2
2
2
2
2
2
2
2
3
1
1
2
4
s
3
3
4
1
2
1
4
2
3
1
1
1
1
4
4
2
2
3
3
3
3
1
1
2
1
2
2
3
3
1
2
2
2
2
1
3
2
2
1
2
I
1
2
2
2
2
1
1
1
138
4
3
4
2
II of
Baths
0.0
2.0
1.0
0.0
1.0
4.0
2.0
1.0
2 .0
1.0
2 .0
l.S
0 .0
1.0
1.0
0 .0
0 .0
0.0
0 .0
2 .0
0 .0
0 .0
1.0
1.0
1.0
1.0
0.0
1.0
1.0
2 .0
1.0
0 .0
2.0
1.0
2.0
0.0
1.0
0 .0
1.0
1.0
Total
Rooms
Year
Built
8
8
1924
1928
1813
s
7
6
8
12
6
6
8
s
6
1870
1920
1970
1823
1823
1930
1962
1920
1920
1940
1915
1959
6
1967
1965
6
1974
1973
1930
1973
s
s
s
6
s
1880
1910
1900
1940
1928
1843
1853
1900
1875
1960
7
4
1931
1955
4
8
7
10
6
8
1st
Floor
2.S
1.6
1.3
0.0
1.3
0 .8
1.2
1.3
1.4
0.8
1.3
0.7
2.S
1.0
0.9
2.4
0.0
0.0
0.0
1.4
2.6
0.0
l.S
1.2
1.1
1.1
0.0
1.1
0.9
1.3
1.3
2.0
1.0
0.8
0.9
1.2
0.9
0.0
0.9
0.7
Frontage
125
ISO
180
490
330
740
672
859
1980
830
600
422
175
152
200
1270
771
1228
350
851
300
300
214
348
0
0
670
0
0
40
160
280
110
100
300
240
Wetlands
Watershed
Map
Lot
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22 .
22
22
22
9A
10
11
llA
12
13
15
16
17
18
19
20
21A
22
23
24
25
26
27
28
29
30
31
32
33
34
35
35A
36
38
38A
38B
38C
40
40A
41
42
43
44
45
Bldg.
Value
0.0
81.9
76.4
70.4
0.0
64 .9
38 .0
97.3
70.8
61.7
0 .0
73.8
0.0
79 .7
68 .6
47.4
89 .8
63.9
60.2
0.0
55.8
51.9
74.4
0.0
0.0
22.0
144.3
0.0
0.0
71.4
0.0
0.0
0.0
61.6
33.8
67.4
57.1
65.4
0.0
58 .8
Land
Value
0.9
35 .3
47.6
44.2
45 .9
30.9
43 .1
35 .3
28.2
37 .9
42.4
35 .9
3.8
42 .5
28 .6
26. 1
58 .1
60.0
50 .6
28.8
40.4
40.1
58.6
53.1
52.1
52.4
58.6
5.9
56.0
44.2
48 .6
32.8
16.6
15 .5
30.9
33 .9
24.8
29 .9
19.S
24. 1
Acres
0 .2
0 .9
7 .0
4 .8
7 .7
1.0
4 .5
2.3
0.6
3 .0
7 .5
2.5
3.0
3 .9
0 .7
0.5
23 .0
0.8
9.0
2.0
2.0
2.0
9.0
10.9
10.0
10.4
9.0
1.0
13.0
4.7
11.9
0.0
0 .0
0 .3
1.0
1.9
0.5
0 .9
0.5
0 .3
Land
Use
10
1
1
1
10
1
1
1
1
1
13
1
15
1
1
1
1
4
1
13
1
1
1
13
13
1
1
10
71
1
13
10
10
1
1
1
1
1
13
1
Zoning
I
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Bldg.
Grade
3
3
3
3
2
4
3
3
3
3
3
3
4
3
3
3
2
3
4
3
3
2
3
3
4
4
II of
Stories
0.0
1.0
1.0
1.0
0.0
1.5
1.0
2.0
1.0
1.0
0.0
1.0
0.0
1.0
1.5
1.0
1.5
0.0
1.5
0.0
1.0
1.0
1.0
0.0
0.0
0.0
1.0
0.0
0.0
1.0
0 .0
0.0
0.0
2.0
1.0
1.5
1.0
2.0
0.0
l.S
Occupancy
Heat
Type
II of
Beds
1
1
1
2
2
2
3
4
2
1
1
1
1
1
2
3
2
2
2
3
3
3
3
3
1
2
3
1
1
1
1
3
2
2
3
1
2
2
2
2
2
2
1
1
1
3
2
2
1
3
2
2
2
3
1
2
2
1
1
1
1
1
2
2
2
2
2
3
1
3
3
4
1
2
3
139
1
II of
Baths
0.0
1.0
1.0
1.0
0.0
2.0
1.0
2.0
2.0
1.0
0.0
1.0
0.0
2.0
1.5
1.0
2.0
0.0
1.0
0.0
1.0
1.0
1.0
0.0
0.0
0 .0
2.0
0.0
0 .0
1.0
0 .0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
Total
Rooms
Year
Built
7
9
5
1963
1820
1970
6
7
6
6
6
1800
1800
1989
1800
1940
6
1797
7
1970
1939
1940
1989
1950
1930
1st
Floor
Frontage
0 .0
5
4
7
4
3
6
1930
1910
1935
7
1986
6
1978
9
3
6
6
8
1930
1932
1944
1940
1880
6
1860
5
1.5
1.8
0 .9
0.0
0.8
1.1
1.2
1.3
1.0
0.0
1.5
0.0
1.1
1.0
0 .6
1.0
1.2
1.0
0.0
0.6
1.3
1.1
0.0
0.0
0.0
1.1
0.0
0.0
1.1
0.0
0.0
0.0
0.8
0.4
0.9
0.9
0.8
0.0
0.6
160
420
318
520
200
400
115
134
195
652
700
475
282
194
240
480
300
440
500
363
80
342
273
330
320
568
1500
260
420
106
203
225
185
1040
265
ISO
Wetlands
Watershed
Map
22
22
22
22
22
Lot
46
47
48
61
62Cl
Bldg.
Value
71.6
83.4
87.4
0.0
102.3
Land
Value
30.3
29.4
25.6
0.0
52.1
Acres
0.6
0.5
0.6
0.0
4.6
Land
Use
I
I
I
I
1
Zoning
I
I
I
I
I
Bldg.
Grade
4
3
3
2
3
II of
Stories
1.5
1.5
2.0
1.0
1.0
Occupancy
I
I
I
I
1
Heat
Type
II of
Beds
2
2
2
2
2
5
2
3
140
II of
Baths
I
2.0
2.0
2.0
1.0
3
1.5
lst
Frontage
Total
Rooms
Year
Built
Floor
8
5
7
5
6
1810
1964
1935
1970
1980
1.0
1.1
1.1
0.4
2.1
335
110
370
403
Wetlands
Watershed
A P P E MD I X
DAT A
SOURCE
B
DETAIL
Guidelines for Classification
Typical Residential Structures - From the HHC Inc. Evaluators Manual
Luxurious - Excellent +20
A residence of this grade is an architect-designed residence which is
unique. There will be no identical residence in the area. Excellent
quality materials and workmanship will be found throughout. Typically,
there will be special features such as unusual shape or design, an
imposing entrance and elaborate windows or staircases. Aesthetically
pleasing or special purpose features are often included in such
properties even though they add considerably to the construction cost. A
residence of this quality typically has about as many bathrooms as
bedrooms.
Excellent - Excellent +10
This is a residence clearly superior to the average, mass produced home.
There may be similar residences in the area, but few, if any, which are
identical. Very good materials and workmanship are found throughout.
Such a residence will have more than adequate structural, heating and
plumbing features and typically more than adequate closet space. It may
have some special purpose features but few, if any, which do not add
utility equal to cost.
Average +20
This is an older grade residence (built before 1945) which may lack some
of the features specified above, but it will have good plaster finish,
extensive trim, (especially in the living room) and good workmanship
throughout.
Average +10
This residence has features midway between average +20 and average
grades.
Average
This residence is a standard contemporary house. Such residences built
today are commonly mass-produced, usually with many parts identical to
those of many others. They may be precut or prefabricated in whole or
part. An average residence typically has standard doors, windows,
plumbing and heating throughout with little ornamentation. Closet space
is usually adequate in a new average grade residence but may be
inadequate in older ones.
141
Below Average
This residence is constructed of inexpensive, light-weight materials and
finish. It typically has a minimum number of inexpensive windows,
inexpensive heating and plumbing facilities which may be inadequate by
contemporary standards. Such a residence typically has inadequate closet
space and few built in cupboards or cabinets,
Minimum
A minimum residence is typically constructed of minimum quality
materials and lacks a full complement of features that are generally
considered to be essential to provide year-round accommodations. It may
be a structure designed for use as a seasonal home or a camp without
heating facilities, with minimal foundation, wiring and plumbing
facilities, few or no interior walls, single thickness exterior walls
and single thickness floors instead of the standard double thickness. It
may be a year-round home of similar construction with unfinished walls
and ceilings and minimal structural components, plumbing, heating, and
electrical wiring.
142
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LAND SECTION
COMMENTS
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t I
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+------------------------------+
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NT lOCAT'ION
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I
I
I I
'
SUB AREA SUMMARY
)11/Xr
r..ooe
CCSCRIPT'ION
Pli! 1. 5 STORY
0 .L
COOE
OUTBUILDINGS/EXTRA FEAnJRES
lHT3
1 •.ou
• LNT PRICE
bvE UI
OI
25ou.uq !S9 u
..
l
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I
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RlllE
1.0U
l'CT.
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AREA
TYPE
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10~
\M\l.UE
onoss
DESCAPT'ION
ME.lo
2500 OA:) FIRST FLOOR
HALF STORY,fINI~
~HS
Bf'! BASEMENT, UNFINI
EFFECTIVI
AREA
LNT
COST
lH.~f'flEt;.&.\IF.U
COST / M/\/lKE I
VALUE
43TI
864
432 °?i!·~]
26.1
225Y
I.L.It.Il TI:....TIJ
~
ts64
H64
H64
173 · 1U.47
905 '
TOTAL. 08/'l(I' \M\l.UE
2.~
TOlllLS
~
BUILDING TRAVERSE
t
2
ltAS&FHS&UOl'l•W36S24El6Nil45.
3
•
I
•,
-
A
·--
- - - -·
0
144
--- --
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