Characteristics of the RTS Study Area
A report prepared for the Tompkins County Department of Social Services (DSS)
Adam Blair, Transportation Planner I
DRAFT – August 2011, Rev January 2012
I. BACKGROUND
The seven-county Study Area, covering parts of central and western New York, extends
south from Lake Ontario to the Pennsylvania border, and west through the Finger Lakes Region
from Cortland County to Seneca Lake. The
Study Area is comprised of Cayuga, Chemung,
Figure 1.0. Study Area
Cortland, Schuyler, Seneca, Tioga, and
Tompkins Counties1 (see Figure 1.0). At
3,249.36 square miles2, and an average density of
129.7 people per square mile (see Table 1.0), the
Study Area is primarily rural, but encompasses
several small-sized cities, including Ithaca,
Cortland, Elmira, and Auburn. Rochester,
Syracuse, and Binghamton are each mid-sized
cities that lie in nearby counties outside the
Study Area (see Appendix A).
Chemung, Cortland, Schuyler, Tioga, and
Tompkins Counties are considered to be part of
the Northern Subregion of Appalachia, according
to the Appalachian Regional Commission.3
Study Area Demographics
Tompkins County, home to the City of
Ithaca, is the most populous County in the Study
Area with 101,564 residents (see Table 1.0).
Cayuga and Chemung Counties are both home to
Created by author
over 80,000 people, while Schuyler County,
being the least populated county in the Study Area, has a population
of only 18,343. The latest Census results from 2010 indicate that 424,475 people live in the
Study Area; including a workforce of 183,351 (2011).
While the median age in most counties within the Study Area is in the mid-30s to low40s, Tompkins County is an outlier with a median age of only 28.3. This is undeniably a
reflection of the large student population in Ithaca. Schuyler County has the largest share of
elderly residents among counties in the Study Area with 19.1 percent being over the age of 65.
There is considerable variation in the poverty rate among residents living in the Study
Area. According to the 2005-2009 American Community Survey, Chemung County has a
poverty rate of 15.8 percent while only 9.9 percent of residents in Schuyler County live in
1
Broome County to the southeast and Onondaga County to the northeast are second-ring counties surrounding Tompkins, and
thus not included in the Study Area. However, both counties have large populations and will occasionally be referred to in this
report.
2 See http://www.health.state.ny.us/nysdoh/vital_statistics/2009/table02.htm.
3 See http://www.arc.gov/assets/maps/related/Subregions_2009_Map.pdf.
poverty. The overall poverty rate in New York State is 13.8 percent. Tompkins County is again
somewhat of an anomaly when it comes to poverty; the poverty rate is 20.2 percent, which is
likely influenced by the low income reported by students.
Median household income in the study area is $46,050, compared to $55,233 in New
York State and $51,425 in the nation. Tioga County has the highest reported median income, at
$51,011, while Chemung County has the lowest, at $42,420. Despite its large student population,
residents in Tompkins County reported a median household income of $46,506 (see Table 1.0).
Table 1.0. Study Area Demographics, 2005 – 2010
Age
Income
Urbanization
Cities**
Cities
5 – 15K
15 – 30K
115.4
0
1
$42,420
217.6
2
1
$44,853
98.7
0
1
9.9%
$44,575
55.8
1
0
13.4%
$45,571
108.5
3
0
41.3
10%
$51,011
98.6
0
1
28.3
20.2%
$46,506
213.3
1
1
13.2%
37.7
13.8%
$55,233
410.4
12.6%
36.5
13.5%
$51,425
87.3
County
2010
Population
2011*
Workforce
Aged
< 18
Aged
65 +
Med.
age
Poverty
rate
Median
income
People/
sq. mi.
Cayuga
80,026
25,600
21.8%
16.8%
40.3
12.4%
$47,414
Chemung
88,830
40,100
22.3%
17.6%
40.3
15.8%
Cortland
49,336
18,600
20.8%
15%
35.8
14.5%
Schuyler
18,343
4,700
22.2%
19.1%
42.2
Seneca
35,251
11,600
20.6%
17.4%
40.3
Tioga
51,125
15,451***
23.6%
16.8%
Tompkins
101,564
67,300
16.5%
11.7%
NYS
19.378M
8.856M
23.2%
U.S.
308.746M
138.541M
24%
Source: 2005-2009 American Community Survey 5-Year Estimates, 2010 Decennial Census, U.S. Census Bureau;
http://www.health.state.ny.us/nysdoh/vital_statistics/2009/table02.htm;
http://www.worldatlas.com/webimage/countrys/namerica/usstates/uslandst.htm
*County-level figures represent total nonfarm employment by place of work for April 2011, and were retrieved from the April 2011
monthly Current Employment Statistics (CES) survey, conducted by the New York State Department of Labor.
**Also includes South Hill, a census-designated place (CDP) in Tompkins County.
***2010 figure
As mentioned previously, the Study Area is primarily rural, but home to several smallsized cities. In fact, there are a total of five cities within the Study Area that have a population
between 15,000 and 30,000; there are a total of seven cities that have a population between 5,000
and 15,000 (see Table 1.0). Tompkins County is the most urbanized county overall, mostly
owing to the City of Ithaca, with a density of 213.3 people per square mile. Schuyler County,
conversely, is the most rural county with only 55.8 people per square mile.
II. WORKPLACE GEOGRAPHY AND INTERCOUNTY COMMUTING
With the exception of those living in Tompkins County, a significant portion of workers
in the Study Area commute to a county outside of their own. In Schuyler and Tioga Counties, the
majority of employees work outside their county of residence (but inside their state of residence),
54.6 percent and 50.3 percent, respectively (see Figure 2). Relatively few employees over the age
of 16 in Greater Ithaca work outside New York State; the greatest number of workers commuting
out of state live in either Chemung (1,406) or Tioga County (1,878), which border Pennsylvania
(see Figures 2.0 & 2.1).
2
Source: 2007-2009 American Community Survey 3-Year Estimates, U.S. Census Bureau
*Schuyler County data were retrieved from the 2005-2009 American Community Survey 5-Year Estimates, U.S. Census Bureau
Note: The category ‘Worked outside county’ includes only those working inside their state of residence
As seen in Table 2.0, many workers living in the Study Area (14,901) commute into
Tompkins County. Broome and Onondaga Counties are also major destinations, with 7,685 and
11,597 non-resident in-commuters in 2008, respectively. Over 10,000 workers commute into
Chemung County from the Study Area as well. Chemung, Tompkins, Broome, and Onondaga
Counties are all net importers, meaning that more non-resident workers commute into their
county from other counties in the Study Area than resident workers leaving their county set out
for other destinations in the Study Area.
Tompkins County is undeniably the largest importer and one of the smallest exporters of
workers residing in the Study Area. Nearly 50,000 employees live in Tompkins County4, but
only 4,469 of those worked outside the county in 2008. Meanwhile, nearly 15,000 workers
commuted into Tompkins County. This finding is likely a reflection of the large number of
employers in Tompkins County compared to adjacent rural counties. Over 40 percent of the incommuting workforce came from either Tioga County of Cortland County.
Over a third of Tompkins County resident out-commuters (1,675) worked in Cortland
County in 2008, highlighting a unique phenomenon of worker swapping between the two
counties. (Indeed, nearly 5,000 commuters likely pass each other on their way to each other’s
county of residence.) Another 21 percent of Tompkins County out-commuters worked in
counties outside the Study Area, while significant portions also commuted to Cayuga County (11
percent), Onondaga County (9 percent), and Broome County (7 percent).
Table 2.1. Intercounty Commuting Flows, 2008
4
2008 American Community Survey 1-Year Estimates, U.S. Census Bureau
3
Resident out-commuting workforce
Other
Onondaga
Broome
Tompkins
Tioga
Seneca
Schuyler
Cortland
Cayuga
Chemung
Non-resident in-commuting workforce
TOTAL
Cayuga
-
-
650
8
590
-
2,165
25
8,390
3,204
15,032
Chemung
-
-
15
505
190
450
1,245
240
220
4,665
7,530
Cortland
225
30
-
-
-
45
3,230
535
2,090
741
6,896
Schuyler
25
1,389
18
-
123
18
1,608
20
12
1,372
4,585
Seneca
620
20
-
57
-
-
1,090
-
370
3,747
5,904
Tioga
105
1,130
220
22
20
-
3,140
6,560
100
1,879
13,176
Tompkins
520
195
1,675
110
235
165
-
305
415
949
4,569
-
130
600
5
-
3,370
400
-
Onondaga
2,495
-
1,095
-
105
-
325
Other
3,389
7,343
861
853
2,560
1,704
1,698
TOTAL
7,379
10,237
5,134
1,560
3,823
5,752
14,901
Broome
4,505
-
7,685
11,597
4,020
-
18,408
16,557
84,625
> 3,000
> 1,000
> 500
> 100
< 100
Source: Ithaca-Tompkins County Transportation Council (ITCTC)
Note: Commuting flows between Broome and Onondaga Counties, Broome and other counties, and Onondaga and other counties
are not included in totals.
The remaining counties (Cayuga, Cortland, Schuyler, Seneca, and Tioga) are net
exporters. Over 15,000 resident workers commuted out of Cayuga County in 2008, with the
majority traveling south to Tompkins County or east to Onondaga County (see Table 2.1).
Another 13,176 resident workers commuted out of Tioga County for Chemung, Tompkins,
Broome, and counties outside the Study Area, mostly.
Some of the largest commuting flows occurred from Cortland to Tompkins County
(3,230), Tioga to Tompkins County (3,140), Broome to Tioga County (3,370), Tioga to Broome
County (6,560), and Cayuga to Onondaga County (8,390). In 2008, no workers commuted
between the following counties:
Chemung – Cayuga
Broome – Cayuga
Cayuga – Chemung
Onondaga – Chemung
Seneca – Cortland
Cortland – Schuyler
Onondaga – Schuyler
Cortland – Seneca
Broome – Seneca
Cayuga – Tioga
Seneca – Tioga
Onondaga – Tioga
Seneca – Broome
As of April 2011, Tompkins County had a workforce of over 67,000—more than double
that of any other county in the Study Area except for Chemung, which had a workforce of
40,100. Schuyler County had the least number of jobs within the Study Area, with a workforce
4
of only 4,700 (see Table 2.2). (See the Total Jobs map in Appendix A for total jobs by census
tract in 2000.)
Table 2.2. Workforce, Job Density, 2011, and Average Employment Access, 2000
Workforce
Job density (jobs/sq.mi.)
Employment access index
(jobs/sq.mi.)*
Cayuga
Chemung
Cortland
Schuyler
Seneca
Tioga
Tompkins
25,600
40,100
18,600
4,700
11,600
15,451**
67,300
37
98
37
14
36
30
142
6,105
10,502
5,849
396
625
391
9,855
Source: New York State Department of Labor, April 2011 Current Employment Statistics (CES) survey
*The employment access index (EAI) represents the average EAI of all census tracts in a county. EAI is determined using a gravity
model, where the total number of jobs in a given census tract is divided by the square of the distance to the centroid of that census
tract.
**2010 figure
Not surprisingly, job density (total jobs per square mile) is quite low in the Study Area
relative to other more urban parts of the country with higher concentrations of economic activity.
Tompkins County has the highest job density, with 142 jobs per square mile in 2011, while
Schuyler County has the lowest job density, with only 14 jobs per square mile (see Table 2.2).
(See the Job Density map in Appendix A for census-tract level figures in 2000.)
III. MEANS OF TRANSPORTATION TO WORK
Similar to most places in the U.S., the majority of commuters in the Study Area drive
alone to work. In contrast to national trends, however, a significant amount of commuters in each
county report that they carpool to work, perhaps a reflection of the large number of intercounty
commuters traveling to common centers of employment. Public transit and walking are also
popular modes of transportation to work in the Study Area.
Transportation Service Inventory
There are a variety of transportation options available to residents living in the Study
Area. Aside from several public transit agencies, the Study Area is home to paratransit, vanpool,
car sharing, and shuttle services (see Table 3.0). Tompkins Consolidated Area Transit (TCAT) is
the largest of the public transit agencies, recently setting a record of 3.58 million trips in 2010.5
5
“TCAT Celebrates Major Victory,” July 1, 2011, http://www.tcatbus.com/news/story/tcat-celebrates-majorvictory.html; TCAT was also named the 2011 Outstanding Public Transportation System in North America by the
American Public Transportation Association (APTA) for this accomplishment.
5
Table 3.0. Transportation Services within Study Area
Type
Counties/Areas Served
Centro Call-A-Bus
Paratransit
Cayuga
Centro of Cayuga
Transit (bus)
Cayuga, Onondaga
Chemung County Transit System (CCTS)
Transit (bus)
Chemung, Tompkins
Cortland Transit (CTRANS)
Transit (bus)
Cortland, Tompkins
Gadabout
Paratransit
Tompkins
Friends in Service Helping (FISH)
Medical
Tompkins
IthaCar
Airport transport
Airports within 100 miles of Ithaca
Ithaca Carshare
Car sharing
All
Tioga County Public Transit (Ride Tioga)
Transit (bus)
Broome, Chemung, Tioga, Tompkins, PA
Ithaca Dispatch
Taxi
All
Ithaca Shuttle Bug
Shuttle
All
Tompkins Consolidated Area Transit (TCAT)
Transit (bus)
Tompkins
VPSI
Vanpool
All
Zimride Tompkins
Carpool
Tompkins
Source: http://ccetompkins.org/community/way2go; http://www.publictransportation.org/default.asp
Modal Split
According to 3-year estimates provided by the U.S. Census Bureau6, an overwhelming
majority of commuters over the age of 16 in the Study Area drove alone in a car, truck, or van
between the years of 2006-2008 (see Figure 3.0). Tompkins County was the only exception,
where approximately 40 percent (24,201) of commuters carpooled, used public transportation,
walked, used other modes7, or worked from home.
6
The 2006-2008 ACS 3-year estimates represent the average characteristics of data collected between January 2006 and
December 2008 for selected geographic areas with populations of 20,000 or greater.
7 This includes taxicabs, motorcycles, bicycles, and other means of transport.
6
Source: 2006-2008 American Community Survey 3-Year Estimates, U.S. Census Bureau
Note: ‘Other’ includes taxicabs, motorcycles, bicycles, and other means of transport.
Tompkins County is also unique in that public transportation is widely available through
the Tompkins Consolidated Area Transit (TCAT). The City of Ithaca, which is at the center of
Tompkins County, is also very conducive to walking, given its high density. The impact of these
characteristics is evident in the county’s modal split from 2006-2008; during this time, 6.4
percent of workers took public transportation to work. An impressive 14.2 percent walked to
work. Very few workers in the other five counties used public transportation to get to work.
The U.S. Census Bureau also conducted an American Community Survey (ACS) during
the 2007-2009 period.8 Findings from this survey indicate that modal split shifted somewhat in
each of the six counties comprising Greater Ithaca. The share of commuters using public
transportation to get to work increased, relative to 2006-2008 estimates, in every county except
Cortland County (-11.5%) and Tompkins County (-12.1%) (see Figure 3.1). In Cortland County,
this is primarily due to the fact that more workers worked from home (19.7%) during the 20072009 survey; in Tompkins County, the share of workers working at home and carpooling both
increased by 8.2 percent and 11.7 percent, respectively. While fewer commuters in Tompkins
8
The 2007-2009 ACS 3-year estimates represent average characteristics of data collected between January 2007 and December
2009 for selected geographic areas with populations of 20,000 or greater.
7
County reported using public transportation to get to work on the 2007-2009 ACS, TCAT, the
primary transit agency, has reported record ridership for each of the past four years.9
Source: 2007-2009 American Community Survey 3-Year Estimates, U.S. Census Bureau
*Schuyler County data were retrieved from the 2005-2009 American Community Survey 5-Year Estimates, U.S. Census Bureau
Note: ‘Other’ includes taxicabs, motorcycles, bicycles, and other means.
Results from the 2007-2009 American Community Survey indicate that Tioga County
experienced a notable change in modal split from the time of the previous ACS. The percentage
of workers over the age of 16 reporting that they walked to work increased from 2.9 percent to
4.0 percent, while the percentage reporting the use of public transportation for commuting
increased from 0.4 percent to 0.5. In absolute terms, however, a very small number of workers
actually used public transportation (90) to get to work in Tioga County during 2007-2009.
The only noticeable change in modal shift across all six counties, throughout the entire
region, was a decline in the percentage of commuters who drove alone to work. Cortland County
exhibited the largest change; an estimated 16,350 workers, or 77.6 percent of the workforce,
commuted alone in a car, truck, or van during the time of the 2006-2008 ACS, while only 14,988
workers or 76.4 percent of the workforce drove alone according to the 2007-2009 ACS.
9
See http://tcatbus.com/news/category/tcat-news.html.
8
Modal Shift in Tompkins County
The modal split among Tompkins County has changed relatively little over the past five
years, with the exception that a smaller share of workers reported driving alone during 2008,
when gas prices spiked (see Figure 3.2). High gas prices made driving more expensive, which
was reflected in a greater share of employees working from home and carpooling. Carpooling
has remained as a significant mode since 2008, as well as walking and using public
transportation. Beginning in 2009, the Census Bureau separated bicycling from the ‘Other’
category, which indicated that the number of workers reporting that they biked to work in
Tompkins County more than doubled from 329 in 2009 to 746 in 2010.10
Source: 2006, 2007, 2008, 2009, 2010 American Community Survey 1-Year Estimates, U.S. Census Bureau
Note: ‘Other’ includes taxicabs, motorcycles, bicycles, and other means.
Travel Time to Work
The mean travel time to work for commuters decreased over the last decade in all
counties within the Study Area except for Chemung County. In Chemung County, mean travel
time increased by one percentage point from 19.3 minutes to 19.5 minutes (see Table 3.1). The
most significant change was observed in Tioga County, where mean travel time to work
decreased by almost one minute from 2000-2010, representing a change of -3.23 percent. At the
state level, mean travel time decreased by approximately one percentage point while travel time
decreased by 1.18 percent at the national level.
Table 3.1. Mean Travel Time to Work by County, 2000-2010 (in minutes)
10
Until 2009, taxicabs, motorcycles, bicycles, and other means were all included in the ‘Other’ category on the American
Community Survey.
9
Cayuga
Chemung
Cortland
Schuyler
Seneca
Tioga
Tompkins
NYS
U.S.
2000
22.0
19.3
21.1
25.4
22.5
24.8
17.8
31.7
25.5
2010
21.4
19.5
20.9
25.3
21.1
24.0
17.8
31.4
25.2
Change
-2.73%
+1.04%
-0.95%
-0.39%
-6.22%
-3.23%
-
-0.95%
-1.18%
Source: 2000 Decennial Census, U.S. Census Bureau; 2010 American Community Survey 1-Year Estimates, U.S. Census Bureau
In 2010, mean travel time to work was lower than both the New York State and U.S.
averages in all counties within the Study Area except Schuyler County, with an average of 25.3
minutes (slightly higher than the national average of 25.2 minutes) (see Table 3.1). While it is
common for commuters in the Study Area to travel relatively long distances between counties,
congestion is not an issue like it is in many metropolitan regions in the state and nation where
travel times are elevated as a consequence of waiting in traffic.
IV. NON-COMMUTE TRAVEL
People have myriad trip purposes in addition to work, some of them occurring on a
regular schedule. Because the U.S. Census does not ask questions pertaining to non-commute
travel, any conclusions made must be drawn from estimates. Of particular interest to the
Regional Transportation Study is human services travel (i.e., medical appointments, hospital
visits) and travel to colleges and universities in the area. Non-essential travel destinations like
recreation and shopping are also of interest.
Human Services
As seen in Table 4 and the Hospitals map in Appendix A, the Study Area is home to
seven hospitals, with several additional hospitals located outside the Study Area but within 60
miles of Ithaca. With the exception of Tioga County, there is at least one hospital in every county
in the Study Area.
Table 4.0. Major Hospitals within Study Area and
Surrounding Counties
City/Town
County
Distance from
Ithaca**
Cayuga Medical Center
Ithaca
Tompkins
2.5 miles
Cortland Regional Medical Center
Cortland
Cortland
20 miles
St. Joseph’s Hospital
Elmira
Chemung
29 miles
Arnot-Ogden Medical Center
Elmira
Chemung
29 miles
Guthrie – Robert Packer Hospital*
Sayre
PA
32 miles
Soldiers & Sailors Memorial Hospital*
Penn Yan
Yates
33 miles
Auburn Memorial Hospital
Auburn
Cayuga
35 miles
Corning Hospital*
Corning
Steuben
35 miles
Wilson Memorial Regional Medical Center*
Johnson City
Broome
36 miles
Lourdes Memorial Hospital*
Binghamton
Broome
38 miles
Geneva General Hospital
Geneva
Seneca
39 miles
UHS Binghamton General Hospital*
Binghamton
Broome
39 miles
Upstate Memorial University Hospital*
Syracuse
Onondaga
57 miles
Strong Memorial Hospital*
Rochester
Monroe
74 miles
10
Source: www.mapcruzin.com; www.openstreetmap.com
*Outside Study Area
**For the purposes of this report, Ithaca is used as the effective center of the Study Area.
While not statistically significant and unrepresentative of the larger population,
Tompkins County 2-1-1 Information and Referral call data provides some interesting insight into
human services-related trips. When a call is placed with 2-1-1 and is related to transportation
services available in either Tompkins County or surrounding counties, a call center associate
records the specific type of transportation need of the caller. As seen in Figure 6, calls made
requesting more information regarding accessible transportation increased significantly after
2007. Between 2008 and 2010, over 120 calls related to accessible transportation were received.
Figure 4.0. 2-1-1 Transportation-Related Calls, 2004-2011
Source: 2-1-1 Information and Referral, Human Services Coalition of Tompkins County (HSC)
*2011 includes calls placed between January 1, 2011, and June 22, 2011.
2-1-1 experienced a similar upward trend in calls related to medical transportation over
the last several years; in 2010 alone, close to 80 calls were received in which the caller requested
more information about medical transportation options (see Figure 6). In addition to a call center,
2-1-1 maintains an informative website, http://www.hsctc.org/index.php?page=informationreferral, with a directory of transportation resources by subtopic (e.g., medical transport, senior
services, ride sharing).
11
College and Universities
There are a variety of colleges and universities within the Study Area and outlying
counties (see Colleges and Universities map in Appendix A), several of which are part of the
State University of New York (SUNY) system (see Table 4.1). Tompkins County is home to four
higher education institutions—Cornell University, Ithaca College, Tompkins Cortland
Community College, and the Finger Lakes School of Massage.
Table 4.1. Colleges and Universities within Study Area and Surrounding Counties
City/Town
County
Distance from
Ithaca**
Cornell University
Ithaca
Tompkins
1 mile
Ithaca College
Ithaca
Tompkins
1.5 miles
Tompkins Cortland Community College - SUNY
Dryden
Tompkins
16 miles
SUNY Cortland
Cortland
Cortland
24 miles
Wells College
Aurora
Cayuga
27 miles
Elmira Business Institute – Elmira Campus
Elmira
Chemung
29 miles
Elmira College
Elmira
Chemung
29 miles
Hobart and William Smith Colleges*
Geneva
Seneca
38 miles
Cayuga County Community College - SUNY
Auburn
Cayuga
39 miles
Corning Community College – SUNY*
Corning
Steuben
45 miles
Broome Community College – SUNY*
Binghamton
Broome
47 miles
Binghamton University – SUNY*
Binghamton
Broome
47 miles
Syracuse University*
Syracuse
Onondaga
57 miles
Finger Lakes Community College – SUNY*
Canandaigua
Ontario
50 miles
Keuka College*
Keuka Park
Yates
32 miles
Le Moyne College*
Syracuse
Onondaga
61 miles
Cazenovia College*
Cazenovia
Madison
62 miles
Colgate University*
Hamilton
Madison
73 miles
Rochester Institute of Technology*
Rochester
Monroe
74 miles
University of Rochester*
Rochester
Monroe
92 miles
Source: New York State GIS Clearinghouse
*Outside Study Area
**For the purposes of this report, Ithaca is used as the effective center of the Study Area.
12
V. HOUSING AND TRANSPORTATION AFFORDABILITY
Housing Affordability
According to most housing programs and policies in the U.S., housing is deemed
unaffordable if its associated costs comprise more than 30 percent of a household’s annual
income.11 According to the 2005-2009 American Community Survey, most homeowners living in
the Study Area spend no more than 30 percent of their income on housing.
Renters living in the Study Area, however, do not fare as well; over 24,000 renters out of
a total of 52,071 in reported spending more than 30 percent of their household income on rent
during the 12 months preceding the survey. As the maps in Appendix A show, however, both
owner and rental affordability vary greatly throughout the Study Area. Renting appears to be
most unaffordable around Ithaca, Elmira, and in parts of Schuyler and Seneca counties, where
renters in certain census tracts spend between 42.7 and 50 percent of their income paying rent
and related expenses.
As seen in Table 7, both housing values and rents are significantly higher in Tompkins
County than in any other county in the Study Area, while median income is relatively similar
across counties. According the Affordable Housing Needs Assessment, high demand for rental
units in Tompkins County—due in large part to student populations—has created artificial
upward pressure on rent over the years.12 Furthermore, the supply of owner occupied housing has
not kept up with strong demand generated by several centers of employment, pushing up housing
prices at a faster rate than household income growth.
Table 5.0. Household Income, Median Housing Value, and Median Rent, 2005-2009
Cayuga
Chemung
Cortland
Schuyler
Seneca
Tioga
Tompkins
Median household income
$47,414
$42,420
$44,853
$44,575
$45,571
$51,011
$46,506
Median value of owneroccupied housing
$95,000
$84,000
$91,200
$86,600
$87,500
$94,800
$155,000
$614
$637
$656
$600
$656
$573
$837
Median gross rent
Source: 2005-2009 American Community Survey 5-Year Estimates, U.S. Census Bureau
Transportation Affordability
Because the U.S. Decennial Census does not include questions related to transportation
expenditures, the amount a given household spends on auto ownership (i.e., depreciation; finance
charges; insurance; and license, registration, and taxes), auto use (i.e., gas, maintenance, repairs),
and transit use must be estimated. Drawing from research on the impacts of the built
11
Alex F. Schwartz, Housing Policy in the United States, Second Edition (New York: Routledge, 2010), 28.
Affordable Housing Needs Assessment, 2006, Tompkins County Planning Department, accessed July 27, 2011, at
http://www.tompkins-co.org/planning/documents/HNA.pdf.
12
13
environment on household travel (see references in Haas et al. 2008), the Center for
Neighborhood Technology (CNT) created the H+T® Affordability Index, the most accurate
estimate to date of household transportation costs in the 337 largest metropolitan regions in the
U.S. 13 Unfortunately, the Study Area is not covered by the H+T® Index, given its small relative
population.
This report attempts to fill this gap by adapting the CNT methodology in order to better
understand the effect the built environment has on a household’s transportation demand in the
Study Area, controlling for a household’s size and income. This will provide more accurate
estimations of household transportation expenditures and, combined with known housing
expenditures in the region, these data will help to better policymaking as it relates to
transportation planning, zoning, and housing development in the Study Area.
Travel Demand Elasticity & Spatial Equilibrium
VI. POLICY RECOMMENDATIONS
REFERENCES
Center for Neighborhood Technology (CNT). 2011. H+T® INDEX METHODOLOGY.
Available at http://htaindex.cnt.org/downloads/Methods.3.3.11.pdf.
Haas, Peter M., Carrie Makarewicz, Albert Benedict, and Scott Bernstein. 2008. “Estimating
Transportation Costs by Characteristics of Neighborhood and Household.”
Transportation Research Record: Journal of the Transportation Research Board 2077:
62-70.
13
H+T® Affordability Index. Center for Neighborhood Technology (CNT). Accessed July 27, 2011, at
http://htaindex.cnt.org/method.php.
14
APPENDIX A: MAP PORTFOLIO
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
APPENDIX B: H+T® INDEX METHODOLOGY
APPENDIX C: RAW DATA
36
37
Mean
Median
Min
Max
Total
Mean
Median
Min
Max
Total
Mean
Median
Min
Max
Total
Mean
Median
Min
Max
Total
Mean
Median
Min
Max
Total
Mean
Median
RTS
Seneca
Schuyler
Cortland
Chemung
Cayuga
geo
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
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Census Tract
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Census Tract
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Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
Census Tract
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Census Tract
Census Tract
Census Tract
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Census Tract
tract
36011040100
36011040200
36011040300
36011040400
36011040500
36011040600
36011040700
36011040800
36011040900
36011041000
36011041100
36011041200
36011041300
36011041400
36011041500
36011041600
36011041700
36011041800
36011041900
36011042000
36015000100
36015000200
36015000300
36015000400
36015000500
36015000600
36015000700
36015000800
36015000900
36015001000
36015001 100
36015010100
36015010200
36015010300
36015010400
36015010500
36015010600
36015010700
36015010800
36015010900
3601501 1000
3601501 1100
3601501 1200
36023990100
36023990200
36023990300
36023990400
36023990500
36023990600
36023990700
36023990800
36023990900
36023991000
36023991 100
36023991200
36097950100
36097950200
36097950300
36097950400
36097950500
36099950100
36099950200
36099950300
36099950400
36099950500
36099950600
36099950700
36099950800
36099950900
36099951000
36107020100
36107020200
36107020300
36107020401
36107020402
36107020500
36107020600
36107020701
36107020702
36107020703
36109000100
36109000200
36109000300
36109000400
36109000500
36109000600
36109000700
36109000800
36109000900
36109001000
36109001 100
36109001200
36109001300
36109001400
36109001500
36109001600
36109001700
36109001800
36109001900
36109002000
36109002100
36109002200
36109002300
20,150.4
8,098.2
26.6
94,574.7
2,075,495.5
22,130.6
16,296.3
26.6
74,751.2
442,612.7
11,335.0
1,029.5
118.7
58,816.6
260,705.6
26,600.5
6,713.6
165.4
94,574.7
319,206.4
42,026.4
45,589.6
17,375.5
65,526.1
210,132.1
20,717.1
14,092.4
31.5
12.7
0.0
147.8
3,243.0
34.6
25.5
0.0
116.8
691.6
17.7
1.6
0.2
91.9
407.4
41.6
10.5
0.3
147.8
498.8
65.7
71.2
27.1
102.4
328.3
32.4
22.0
1,751.7
1,250.0
128.0
15,871.0
180,428.0
1,402.4
1,146.0
199.0
4,388.0
28,047.0
1,822.7
1,398.0
128.0
5,717.0
41,921.0
1,721.3
1,445.0
414.0
4,555.0
20,655.0
1,076.8
779.0
317.0
2,082.0
5,384.0
1,181.0
1,255.0
1.1
0.1
21.6
115.6
0.9
0.1
3.6
18.8
1.5
1.0
5.4
34.7
1.2
0.2
0.0
4.7
14.8
0.0
0.0
0.0
0.1
0.2
0.1
0.1
83.5
67.5
2.9
309.9
8,599.0
87.6
102.2
6.1
193.8
1,751.9
54.3
15.0
2.9
209.3
1,248.0
93.2
47.7
6.7
269.4
1,118.5
123.3
114.0
72.1
200.3
616.6
92.1
83.5
6,530.2
1,352.1
106.6
32,348.5
672,611.3
6,104.7
957.4
106.6
20,022.3
122,093.9
10,501.5
7,726.4
611.9
31,997.3
241,533.5
5,848.9
2,205.6
254.3
15,675.6
70,187.3
396.0
402.9
244.9
553.9
1,980.1
624.8
557.8
1,477.4
130.8
2.8
28,613.2
152,172.3
1,347.0
37.4
3.7
12,998.3
26,939.7
1,845.2
603.6
3.6
15,762.1
42,439.0
1,533.9
574.2
2.8
5,940.4
18,406.9
21.3
11.7
3.9
57.5
106.7
93.4
49.3
ACRES
SQMILE JOBS_00 D
BLKSIZE EAI
JTOTAL
401, Cayuga County, New York
51,102.2
79.8
460
0.04
139.2
106.6
5.76
402, Cayuga County, New York
43,800.6
68.4
603
0.05
193.8
181.6
8.81
403, Cayuga County, New York
33,371.9
52.1
750
0.04
135.7
313.1
14.38
404, Cayuga County, New York
14,148.0
22.1
1,139
0.13
78.6
505.8
51.52
405, Cayuga County, New York
23,569.7
36.8
254
0.04
116.7
732.0
6.90
406, Cayuga County, New York
18,444.6
28.8
1,153
0.06
124.6
1685.2
40.01
407, Cayuga County, New York
13,364.0
20.9
279
0.12
96.8
1069.1
13.36
408, Cayuga County, New York
43,428.5
67.9
1,733
0.03
147.7
411.5
25.54
409, Cayuga County, New York
50,883.5
79.5
297
0.03
181.1
507.7
3.74
410, Cayuga County, New York
74,751.2
116.8
1,877
0.02
179.3
435.3
16.07
411, Cayuga County, New York
37,372.7
58.4
743
0.05
150.1
605.5
12.72
412, Cayuga County, New York
33,026.9
51.6
1,791
0.07
107.6
845.8
34.71
413, Cayuga County, New York
1,381.8
2.2
2,940
1.36
21.9
10818.7
1361.70
414, Cayuga County, New York
1,021.0
1.6
4,388
2.21
12.8
13764.9
2750.44
415, Cayuga County, New York 365.4
0.6
1,369
3.60
6.1
20022.3
2398.02
416, Cayuga County, New York 311.3
0.5
199
3.51
6.5
14611.2
409.15
417, Cayuga County, New York 712.4
1.1
1,537
2.75
7.2
7648.8
1380.75
418, Cayuga County, New York 929.8
1.5
2,603
2.33
12.4
10676.7
1791.72
419, Cayuga County, New York 600.3
0.9
3,392
2.40
7.2
17743.8
3616.08
420, Cayuga County, New York 26.6
0.0
540
0.00
26.6
19408.5
12998.32
1, Chemung County, New York1,029.5
1.6
2,357
1.04
10.4
13364.6
1465.24
2, Chemung County, New York 371.5
0.6
959
3.28
7.0
13940.0
1652.23
3, Chemung County, New York 118.7
0.2
128
0.00
118.7
10510.8
690.36
4, Chemung County, New York 590.1
0.9
2,975
1.56
12.6
15020.5
3226.30
5, Chemung County, New York 369.1
0.6
589
3.81
5.4
15040.5
1021.36
6, Chemung County, New York 276.1
0.4
1,546
5.38
4.1
22683.8
3583.77
7, Chemung County, New York 173.4
0.3
4,270
1.38
2.9
31997.3
15762.09
8, Chemung County, New York 428.1
0.7
3,681
1.75
7.0
26219.2
5502.59
9, Chemung County, New York 605.4
0.9
571
2.34
6.9
14047.3
603.64
10, Chemung County, New York308.6
0.5
1,398
4.21
4.5
25376.2
2899.12
11, Chemung County, New York369.2
0.6
195
3.52
5.3
13458.0
338.07
101, Chemung County, New 54,845.7
York
85.7
382
0.02
209.3
611.9
4.46
102, Chemung County, New 48,846.8
York
76.3
429
0.05
161.2
859.3
5.62
103, Chemung County, New 28,491.6
York
44.5
5,717
0.11
103.6
1676.9
128.42
104, Chemung County, New York
840.4
1.3
758
1.75
15.0
3784.4
577.27
105, Chemung County, New York
1,472.1
2.3
5,238
0.87
15.3
4342.8
2277.30
106, Chemung County, New York
3,091.3
4.8
1,975
0.41
31.9
5168.0
408.89
107, Chemung County, New 16,811.6
York
26.3
2,033
0.16
118.4
2563.6
77.39
108, Chemung County, New York
1,220.5
1.9
3,536
1.42
9.6
5825.5
1854.26
109, Chemung County, New York
2,848.1
4.5
400
0.77
28.8
7726.4
89.89
110, Chemung County, New 58,816.6
York
91.9
332
0.03
175.0
654.8
3.61
111, Chemung County, New York
4,144.6
6.5
1,632
0.77
27.6
5198.7
252.01
112, Chemung County, New 34,636.9
York
54.1
820
0.05
167.3
1463.3
15.15
9901, Cortland County, New 94,574.7
York
147.8
414
0.01
269.4
264.1
2.80
9902, Cortland County, New 62,698.9
York
98.0
755
0.03
200.3
508.7
7.71
9903, Cortland County, New York
857.5
1.3
1,228
1.47
12.6
1903.4
916.56
9904, Cortland County, New 19,251.0
York
30.1
1,518
0.06
147.0
1352.1
50.47
9905, Cortland County, New York
721.9
1.1
2,052
2.11
11.8
10570.1
1819.26
9906, Cortland County, New York
329.1
0.5
3,055
4.65
6.7
15550.9
5940.42
9907, Cortland County, New York
514.5
0.8
1,815
3.46
7.0
10500.4
2257.70
9908, Cortland County, New York
165.4
0.3
1,372
0.30
8.7
10510.6
5309.36
9909, Cortland County, New York
761.2
1.2
2,205
2.52
11.2
15675.6
1853.80
9910, Cortland County, New 12,569.8
York
19.6
4,555
0.17
82.7
2507.8
231.92
9911, Cortland County, New 64,966.7
York
101.5
1,136
0.03
188.9
254.3
11.19
9912, Cortland County, New 61,795.8
York
96.6
550
0.02
172.1
589.2
5.70
9501, Schuyler County, New 65,526.1
York
102.4
779
0.03
157.9
467.5
7.61
9502, Schuyler County, New 17,375.5
York
27.1
317
0.04
72.1
310.9
11.68
9503, Schuyler County, New 58,478.1
York
91.4
360
0.02
200.3
244.9
3.94
9504, Schuyler County, New 23,162.8
York
36.2
2,082
0.08
72.4
402.9
57.53
9505, Schuyler County, New 45,589.6
York
71.2
1,846
0.04
114.0
553.9
25.91
9501, Seneca County, New York
36,328.1
56.8
1,221
0.02
124.0
473.4
21.51
9502, Seneca County, New York
3,977.0
6.2
1,612
0.24
45.2
888.7
259.41
9503, Seneca County, New York
5,485.8
8.6
660
0.23
53.3
872.1
77.00
9504, Seneca County, New York
6,036.3
9.4
2,079
0.21
66.3
956.8
220.43
9505, Seneca County, New York
5,769.5
9.0
1,516
0.24
81.3
800.1
168.17
9506, Seneca County, New York
8,098.2
12.7
1,655
0.19
67.5
531.6
130.79
9507, Seneca County, New York
35,093.9
54.8
611
0.04
148.1
482.1
11.14
9508, Seneca County, New York
44,664.6
69.8
1,289
0.03
85.7
308.3
18.47
9509, Seneca County, New York
41,631.6
65.0
612
0.03
137.9
350.3
9.41
9510, Seneca County, New York
20,086.5
31.4
555
0.04
111.6
584.1
17.68
201, Tioga County, New York75,953.4
118.7
1,102
0.03
212.2
324.8
9.29
202, Tioga County, New York60,545.6
94.6
643
0.03
197.2
444.0
6.80
203, Tioga County, New York32,307.4
50.5
1,954
0.08
160.7
335.7
38.71
204.01, Tioga County, New York
30,374.1
47.5
740
0.06
309.9
350.6
15.59
204.02, Tioga County, New York
2,448.4
3.8
685
0.66
41.5
302.2
179.06
205, Tioga County, New York 1,570.5
2.5
5,331
0.91
17.3
509.7
2172.48
206, Tioga County, New York59,094.1
92.3
2,534
0.05
152.7
444.8
27.44
207.01, Tioga County, New York
31,652.6
49.5
482
0.04
164.0
468.8
9.75
207.02, Tioga County, New York
36,905.7
57.7
704
0.05
133.7
403.6
12.21
207.03, Tioga County, New York
1,040.2
1.6
1,276
1.96
9.2
322.5
785.04
1, Tompkins County, New York 126.1
0.2
5,638
6.92
4.1
32348.5
28613.21
2, Tompkins County, New York 108.5
0.2
958
21.56
3.4
30872.5
5649.67
3, Tompkins County, New York 960.8
1.5
15,871
0.07
20.0
26959.0
10572.31
4, Tompkins County, New York 990.3
1.5
150
0.45
38.1
24785.7
96.94
5, Tompkins County, New York1,303.9
2.0
1,730
1.47
15.9
8952.0
849.17
6, Tompkins County, New York2,304.3
3.6
2,361
0.91
12.2
6184.8
655.74
7, Tompkins County, New York 390.2
0.6
925
4.28
5.2
21495.2
1517.15
8, Tompkins County, New York 314.3
0.5
2,233
3.63
3.4
29552.4
4546.50
9, Tompkins County, New York6,089.7
9.5
2,302
0.25
53.0
4008.5
241.93
10, Tompkins County, New York
7,567.6
11.8
2,883
0.26
47.0
2858.5
243.82
11, Tompkins County, New York
4,679.7
7.3
2,080
0.44
57.1
7129.1
284.46
12, Tompkins County, New York322.8
0.5
3,015
0.12
29.3
12781.4
5978.25
13, Tompkins County, New York
4,719.2
7.4
1,325
0.61
40.0
5397.9
179.69
14, Tompkins County, New York
13,106.9
20.5
1,219
0.11
97.1
2368.1
59.52
15, Tompkins County, New York
10,971.5
17.1
5,311
0.22
61.0
2897.9
309.81
16, Tompkins County, New York
16,594.1
25.9
1,250
0.10
67.2
1003.9
48.21
17, Tompkins County, New York
29,560.9
46.2
498
0.06
161.5
1166.1
10.78
18, Tompkins County, New York
40,813.0
63.8
784
0.05
154.6
826.2
12.29
19, Tompkins County, New York
66,080.2
103.3
770
0.03
205.2
939.6
7.46
20, Tompkins County, New York
13,613.0
21.3
3,022
0.12
103.9
1044.5
142.08
21, Tompkins County, New York
21,609.9
33.8
743
0.07
120.1
1240.5
22.00
22, Tompkins County, New York
19,555.0
30.6
961
0.08
111.1
907.9
31.45
23, Tompkins County, New York
41,993.3
65.6
1,131
0.05
134.6
942.3
17.24
56,718.0
58,273.6
18,060.7
92,360.2
5,615,082.1
57,870.3
59,251.1
32,527.3
89,479.3
1,099,536.1
50,678.6
50,955.6
18,060.7
88,556.9
1,114,929.1
56,458.3
60,381.6
37,958.4
64,634.8
677,499.8
54,521.5
50,502.1
49,966.5
61,434.6
272,607.5
56,191.5
56,264.1
45,864.3
46,098.0
11,265.0
75,804.0
4,586,426.0
47,046.7
49,976.0
23,517.0
65,217.0
893,887.0
39,702.8
39,930.5
11,265.0
70,652.0
873,462.0
47,174.6
48,514.5
32,813.0
59,107.0
566,095.0
45,669.8
43,494.0
39,884.0
52,159.0
228,349.0
46,286.6
44,709.5
2.6
2.5
1.3
10.4
252.4
2.5
2.5
1.9
3.6
47.7
2.4
2.4
1.3
3.2
53.2
2.5
2.5
1.9
3.0
28.0
2.5
2.5
2.2
2.9
12.7
2.8
2.7
1.1
1.1
0.3
3.5
110.0
1.1
1.1
0.8
1.5
21.4
1.0
1.0
0.3
1.2
21.4
1.2
1.2
0.9
1.4
12.8
1.0
1.0
1.0
1.1
5.2
1.2
1.2
1.7
1.8
0.7
2.2
164.3
1.7
1.9
1.1
2.1
33.1
1.6
1.6
0.8
2.0
32.9
1.7
1.6
1.0
2.1
18.3
1.9
1.8
1.7
2.0
9.3
1.8
1.8
1.6
1.8
0.4
2.0
169.5
1.7
1.8
0.7
2.0
33.1
1.5
1.6
0.4
2.0
34.1
1.7
1.8
1.3
1.9
20.1
1.8
1.8
1.8
1.9
9.2
1.8
1.8
17,721.3
17,192.8
8,664.8
71,318.6
1,736,683.8
17,257.8
17,326.0
13,311.3
24,626.6
327,898.0
16,625.1
16,516.9
8,664.8
21,757.3
365,752.2
17,495.0
17,244.1
13,068.0
20,669.6
192,444.9
17,416.7
17,372.1
15,451.4
20,135.5
87,083.4
19,115.0
18,411.5
HINCOME MEDINC
HSIZE COMMUTER auto_hh ESTauto_hh vmt_hh
$ 51,551.86
$45,603.00
2.75
1.10
2.02
1.84
18,894.4
$ 60,038.02
$52,418.00
2.52
1.22
2.07
1.87
17,369.2
$ 52,664.65
$45,909.00
2.43
1.19
1.93
1.83
16,705.3
$ 59,856.54
$46,392.00
2.57
1.27
1.87
1.87
17,680.2
$ 58,504.36
$52,328.00
2.68
1.23
2.07
1.85
18,433.3
$ 75,757.63
$56,646.00
3.10
1.27
2.00
1.92
21,313.2
$ 89,479.28
$65,217.00
2.41
1.07
1.91
1.99
16,579.7
$ 60,904.82
$53,841.00
3.58
1.06
1.85
1.91
24,626.6
$ 59,251.10
$49,976.00
2.70
1.27
2.02
1.86
18,554.7
$ 63,123.65
$52,034.00
3.07
1.50
2.05
1.90
21,098.4
$ 72,092.43
$61,972.00
2.53
1.23
2.01
1.92
17,434.8
$ 62,542.46
$53,451.00
2.32
1.11
1.85
1.86
15,991.6
$ 44,858.30
$38,869.00
2.02
1.09
1.23
1.44
13,899.1
$ 47,140.37
$36,604.00
1.93
0.94
1.42
1.36
13,311.3
$ 57,902.20
$37,097.00
2.36
1.04
1.40
1.27
16,227.6
$ 62,444.51
$56,373.00
2.52
1.31
1.74
1.50
17,326.0
$ 48,756.24
$35,789.00
2.11
0.85
1.40
1.62
14,516.2
$ 40,140.37
$29,851.00
1.95
0.84
1.11
1.45
13,445.4
$ 32,527.29
$23,517.00
2.11
0.80
1.12
1.16
14,491.0
0.69
$ 33,984.13
$28,664.00
2.41
0.87
1.33
1.30
16,599.4
$ 39,954.81
$33,411.00
2.12
0.80
1.39
1.37
14,619.3
1.11
$ 62,975.65
$46,000.00
2.25
1.04
1.51
1.38
15,450.1
$ 61,099.08
$45,707.00
2.30
1.01
1.47
1.47
15,790.7
$ 30,882.82
$21,534.00
3.16
1.12
1.00
1.12
21,757.3
$ 23,176.99
$18,281.00
1.26
0.61
0.44
8,664.8
$ 18,060.75
$11,265.00
3.16
0.31
0.76
0.78
21,751.5
$ 44,754.28
$35,275.00
2.63
1.24
1.64
1.39
18,116.5
$ 31,112.47
$22,489.00
2.25
0.90
1.13
0.96
15,454.8
$ 51,174.92
$40,385.00
2.43
1.05
1.58
1.48
16,713.1
$ 51,498.98
$43,474.00
2.53
1.09
1.95
1.81
17,375.9
$ 63,171.55
$48,725.00
2.39
1.07
1.98
1.86
16,448.2
$ 88,556.87
$70,652.00
2.44
1.12
1.99
1.96
16,758.9
$ 67,832.24
$50,703.00
2.41
0.84
1.65
1.84
16,569.2
$ 42,110.16
$31,106.00
2.12
0.98
1.38
1.63
14,556.1
$ 50,736.26
$39,476.00
2.39
1.11
1.58
1.66
16,464.6
$ 70,303.82
$65,881.00
2.68
1.20
1.96
1.85
18,433.5
$ 34,235.20
$25,284.00
2.05
0.85
1.45
1.56
14,121.3
$ 84,861.75
$61,413.00
2.25
0.99
1.59
1.75
15,511.3
$ 56,683.61
$48,577.00
2.55
1.07
2.04
1.84
17,570.3
$ 45,133.04
$35,765.00
2.30
0.99
1.56
1.64
15,795.2
$ 62,629.76
$49,395.00
3.09
1.11
1.95
1.86
21,230.2
$ 58,273.64
$46,196.00
3.00
1.28
2.04
1.88
20,669.6
$ 64,277.00
$52,615.00
2.83
1.33
1.97
1.89
19,450.8
$ 63,387.89
$59,107.00
2.52
1.20
1.65
1.87
17,349.8
$ 61,353.41
$50,833.00
2.46
1.20
1.91
1.84
16,921.3
$ 43,227.62
$35,563.00
2.38
1.03
1.32
1.48
16,351.3
$ 37,958.39
$32,813.00
1.90
0.89
0.96
1.31
13,068.0
$ 63,679.66
$51,311.00
2.41
1.11
1.45
1.63
16,585.4
$ 61,166.00
$58,750.00
1.39
$ 45,142.23
$33,514.00
2.44
1.07
1.39
1.32
16,758.8
$ 59,597.10
$44,452.00
2.51
1.11
1.65
1.79
17,244.1
$ 54,802.08
$45,754.00
2.72
1.16
1.93
1.85
18,697.1
$ 64,634.79
$55,187.00
2.81
1.41
2.08
1.89
19,348.8
$ 61,434.61
$50,762.00
2.53
1.13
2.00
1.87
17,372.1
$ 60,454.77
$52,159.00
2.66
1.02
1.84
1.88
18,275.9
$ 50,502.10
$43,494.00
2.93
1.00
1.95
1.84
20,135.5
$ 50,249.61
$42,050.00
2.25
1.03
1.65
1.81
15,451.4
$ 49,966.45
$39,884.00
2.30
1.02
1.82
1.80
15,848.5
$ 55,969.15
$48,333.00
2.73
1.21
2.07
1.85
18,757.4
$ 56,559.02
$43,836.00
2.57
1.17
1.75
1.84
17,711.3
$ 59,696.74
$51,192.00
2.86
1.24
1.82
1.87
19,689.9
$ 48,711.16
$42,519.00
2.35
1.13
1.61
1.79
16,139.3
$ 50,826.33
$42,862.00
2.84
1.26
1.89
1.82
19,556.1
$ 53,376.52
$45,583.00
2.50
1.28
1.89
1.83
17,218.2
$ 61,978.48
$51,908.00
2.63
1.19
1.82
1.88
18,065.6
$ 64,500.96
$54,906.00
4.04
1.15
1.98
1.94
27,780.3
$ 49,162.31
$39,433.00
2.74
1.03
1.74
1.82
18,818.3
$ 61,134.58
$42,294.00
2.53
1.05
1.78
1.87
17,413.7
$ 56,606.94
$48,884.00
2.65
1.24
2.06
1.86
18,229.7
$ 53,673.70
$47,260.00
2.50
1.14
1.88
1.83
17,181.7
$ 81,230.00
$67,679.00
2.43
1.08
2.07
1.97
16,740.4
$ 73,028.74
$62,250.00
2.58
1.34
2.19
1.94
17,781.9
$ 75,149.45
$64,946.00
2.70
1.27
2.05
1.97
18,561.6
$ 55,708.49
$48,581.00
2.60
1.13
1.70
1.85
17,897.7
$ 51,761.17
$44,063.00
2.58
1.13
2.16
1.82
17,747.6
$ 51,500.15
$49,615.00
2.22
1.00
1.90
1.81
15,301.7
$ 50,555.14
$41,724.00
2.54
1.16
1.88
1.82
17,486.5
$ 46,711.21
$36,201.00
2.16
0.87
1.49
1.85
14,874.7
$ 34,399.54
$18,804.00
1.39
0.61
0.68
0.57
9,567.4
$ 21,666.37
$13,481.00
2.63
0.84
1.43
1.31
18,105.6
0.45
$ 35,965.18
$26,484.00
10.37
3.51
0.94
1.18
71,318.6
$ 75,560.47
$55,000.00
2.41
1.15
1.58
1.68
16,558.6
$ 90,951.05
$56,563.00
2.16
1.00
1.44
1.83
14,857.5
$ 48,059.10
$38,895.00
2.47
1.28
1.20
1.20
17,006.4
$ 48,475.46
$44,886.00
2.23
1.28
1.13
0.86
15,333.8
$ 79,718.12
$58,571.00
2.31
1.21
1.49
1.84
15,882.1
$ 46,187.42
$34,112.00
2.09
0.92
1.04
1.70
14,409.3
$ 59,388.22
$42,014.00
2.58
1.42
1.96
1.64
17,773.9
$75,804.00
0.99
$ 62,353.59
$41,176.00
2.20
0.96
1.64
1.71
15,164.0
$ 81,187.84
$47,072.00
2.30
1.05
1.74
1.90
15,826.3
$ 92,360.21
$61,875.00
2.48
1.09
1.77
1.94
17,088.3
$ 71,576.25
$60,929.00
2.49
1.22
1.77
1.90
17,109.9
$ 55,912.63
$44,773.00
2.50
1.05
1.79
1.82
17,203.9
$ 58,280.75
$44,345.00
2.59
1.16
1.78
1.84
17,834.3
$ 63,223.35
$51,708.00
2.40
1.25
1.95
1.86
16,544.3
$ 66,799.23
$62,278.00
2.63
1.33
1.88
1.88
18,085.5
$ 60,598.69
$54,945.00
2.69
1.30
1.95
1.85
18,484.4
$ 65,117.10
$55,255.00
2.86
1.29
1.88
1.89
19,674.6
$ 74,888.67
$61,594.00
2.43
1.21
1.96
1.92
16,723.4
18,239.4
18,036.7
11,586.3
27,273.9
1,878,659.0
18,139.9
17,962.2
15,172.7
25,618.0
362,798.1
18,425.1
18,142.4
16,062.0
27,273.9
423,777.8
18,545.9
18,233.7
16,233.6
22,828.5
222,551.3
18,384.6
18,349.2
17,286.9
19,580.4
91,923.1
17,780.6
17,532.2
0.0
0.0
0.5
2.9
0.0
0.0
0.1
0.2
0.0
0.0
0.2
0.6
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8,339.1
9,264.3
2,212.0
10,087.7
858,925.8
8,388.1
9,356.8
3,503.6
10,087.7
167,763.0
7,506.3
7,907.3
2,212.0
9,954.0
172,645.1
8,506.4
9,194.6
6,641.9
9,597.5
102,077.3
9,315.1
9,305.5
9,128.9
9,505.5
46,575.3
9,373.2
9,340.5
ESTvmt_hh transit_hh AUTOCOST
18,153.0
0.0000 $
9,328.63
18,619.2
0.0057 $
9,495.71
18,365.3
0.0000 $
9,264.28
17,289.1
0.0017 $
9,453.82
17,281.1
0.0039 $
9,385.06
17,031.3
0.0128 $
9,735.90
16,300.5
0.0113 $ 10,087.65
18,584.0
0.0045 $
9,659.97
18,625.7
0.0048 $
9,444.20
18,332.3
0.0033 $
9,621.43
17,596.4
0.0041 $
9,731.91
17,771.5
0.0021 $
9,408.46
18,759.3
0.0073 $
7,300.81
17,532.8
0.0293 $
6,910.11
16,575.7
0.0087 $
6,415.48
15,172.7
0.0000 $
7,592.62
17,260.2
0.0126 $
8,224.17
18,895.1
0.0773 $
7,345.34
19,035.0
0.0321 $
5,853.82
25,618.0
$
3,503.60
18,722.5
0.0376 $
6,577.45
17,439.3
0.0000 $
6,966.31
27,273.9
$
5,630.78
16,796.9
0.0000 $
7,013.94
16,120.7
0.0127 $
7,468.42
18,465.8
0.0211 $
5,651.97
23,818.5
0.2123 $
2,211.95
21,147.7
0.1609 $
3,965.92
16,633.3
0.0103 $
7,041.25
18,389.9
0.0000 $
4,841.53
16,169.7
0.0249 $
7,496.80
19,679.1
0.0101 $
9,195.20
18,260.0
0.0000 $
9,432.67
16,165.2
0.0000 $
9,954.05
16,062.0
0.0081 $
9,312.17
18,388.8
0.0000 $
8,267.64
17,769.7
0.0493 $
8,395.04
17,227.8
0.0000 $
9,382.30
18,142.4
0.0427 $
7,907.31
16,207.9
0.0000 $
8,872.94
18,536.6
0.0000 $
9,327.06
17,855.3
0.0257 $
8,297.95
18,504.9
0.0021 $
9,434.43
20,191.0
0.0106 $
9,514.81
18,959.8
0.0000 $
9,597.52
16,302.3
0.0046 $
9,488.01
18,307.8
0.0000 $
9,309.73
18,070.6
0.0000 $
7,478.88
18,611.0
0.0081 $
6,641.90
16,233.6
0.0323 $
8,243.47
22,828.5
$
7,053.18
17,592.5
0.0044 $
6,703.97
18,159.7
0.0038 $
9,079.48
19,257.8
0.0093 $
9,377.92
18,036.7
0.0052 $
9,588.40
18,196.0
0.0082 $
9,477.51
17,286.9
0.0053 $
9,505.55
19,580.4
0.0016 $
9,305.46
18,349.2
0.0054 $
9,157.84
18,510.6
0.0177 $
9,128.91
17,517.9
0.0000 $
9,369.53
17,219.2
0.0072 $
9,311.56
16,970.8
0.0031 $
9,454.09
18,405.4
0.0152 $
9,054.26
17,546.6
0.0000 $
9,231.45
17,223.9
0.0124 $
9,277.18
18,653.8
0.0000 $
9,508.33
16,839.7
0.0142 $
9,852.65
19,252.0
0.0233 $
9,220.50
18,176.4
0.0145 $
9,452.02
19,134.5
0.0097 $
9,401.18
19,649.3
0.0030 $
9,277.80
17,205.6
0.0051 $ 10,002.52
19,771.8
0.0000 $
9,813.06
15,157.8
0.0039 $
9,995.22
16,671.3
0.0068 $
9,395.31
17,856.3
0.0061 $
9,244.28
19,063.6
0.0175 $
9,170.15
18,622.6
0.0040 $
9,214.61
17,314.3
0.0196 $
9,368.24
18,968.2
0.5338 $
2,872.15
11,586.3
0.0526 $
6,647.16
25,475.2
$
2,285.03
20,807.0
0.1132 $
5,970.09
16,153.7
0.2042 $
8,533.65
16,200.5
0.0813 $
9,285.97
17,440.0
0.0947 $
6,080.41
17,890.4
0.1471 $
4,368.44
17,421.1
0.1099 $
9,310.87
20,244.2
0.1156 $
8,614.89
16,471.3
0.0332 $
8,313.20
25,626.7
$
5,013.07
17,160.0
0.1083 $
8,665.63
17,253.7
0.0311 $
9,621.89
16,043.8
0.0223 $
9,855.89
16,984.2
0.0646 $
9,647.60
19,237.6
0.0469 $
9,212.39
19,067.8
0.0300 $
9,347.72
19,144.8
0.0000 $
9,419.19
17,427.6
0.0161 $
9,542.39
17,716.5
0.0000 $
9,354.79
17,639.4
0.0057 $
9,562.06
17,395.5
0.0000 $
9,726.82
8,244.2
8,152.6
5,237.0
12,327.8
849,153.9
8,199.2
8,118.9
6,858.1
11,579.3
163,984.8
8,328.2
8,200.4
7,260.0
12,327.8
191,547.5
8,382.8
8,241.7
7,337.6
10,318.5
100,593.2
8,309.9
8,293.8
7,813.7
8,850.4
41,549.3
8,036.8
7,924.6
VMTCOST
$
8,205.16
$
8,415.90
$
8,301.13
$
7,814.69
$
7,811.05
$
7,698.14
$
7,367.83
$
8,399.97
$
8,418.80
$
8,286.20
$
7,953.55
$
8,032.71
$
8,479.22
$
7,924.81
$
7,492.20
$
6,858.05
$
7,801.59
$
8,540.58
$
8,603.82
$ 11,579.35
$
8,462.56
$
7,882.56
$ 12,327.81
$
7,592.18
$
7,286.54
$
8,346.54
$ 10,765.96
$
9,558.75
$
7,518.27
$
8,312.23
$
7,308.70
$
8,894.97
$
8,253.53
$
7,306.68
$
7,260.03
$
8,311.74
$
8,031.90
$
7,786.97
$
8,200.37
$
7,325.96
$
8,378.53
$
8,070.60
$
8,364.20
$
9,126.34
$
8,569.84
$
7,368.64
$
8,275.14
$
8,167.90
$
8,412.15
$
7,337.58
$ 10,318.49
$
7,951.82
$
8,208.16
$
8,704.51
$
8,152.60
$
8,224.59
$
7,813.68
$
8,850.36
$
8,293.82
$
8,366.81
$
7,918.08
$
7,783.10
$
7,670.79
$
8,319.25
$
7,931.08
$
7,785.20
$
8,431.51
$
7,611.55
$
8,701.89
$
8,215.75
$
8,648.81
$
8,881.51
$
7,776.91
$
8,936.87
$
6,851.34
$
7,535.42
$
8,071.04
$
8,616.75
$
8,417.43
$
7,826.05
$
8,573.64
$
5,237.00
$ 11,514.81
$
9,404.75
$
7,301.49
$
7,322.64
$
7,882.90
$
8,086.44
$
7,874.32
$
9,150.38
$
7,445.04
$ 11,583.26
$
7,756.31
$
7,798.69
$
7,251.80
$
7,676.86
$
8,695.40
$
8,618.67
$
8,653.46
$
7,877.26
$
8,007.87
$
7,973.01
$
7,862.78
1,094.7
1,080.0
2,544.0
110,568.0
1,197.1
1,133.0
448.0
1,857.0
22,745.0
1,089.9
875.0
2,544.0
23,978.0
979.9
1,060.5
29.0
1,713.0
11,759.0
1,197.2
1,231.0
593.0
1,733.0
5,986.0
951.3
1,014.0
667
796
454
65
933
360
985
1,085
2,192
2,544
1,266
600
809
2,078
817
1,771
1,453
2,274
1,543
1,148
1,713
973
883
706
386
1,223
29
724
1,387
1,319
1,268
1,733
593
1,002
1,231
1,427
714
594
995
699
1,033
1,281
1,228
1,080
1,158
731
2,021
1,701
2,407
1,772
1,414
700
2,195
1,104
1,458
1,209
44
85
57
63
807
972
639
394
1,047
744
882
10
1,360
962
1,384
1,190
1,469
1,413
1,679
1,195
1,141
1,252
1,817
1,610.3
1,564.0
38.0
3,181.0
162,639.0
1,671.6
1,758.0
1,032.0
2,254.0
31,760.0
1,601.4
1,410.5
239.0
3,181.0
35,230.0
1,489.8
1,527.5
50.0
2,107.0
17,877.0
1,522.4
1,806.0
745.0
1,939.0
7,612.0
1,222.9
1,318.5
487
799
920
1,406
1,484
239
749
1,415
1,299
1,300
1,271
2,457
3,088
1,467
1,279
1,277
2,772
1,733
2,196
1,672
3,181
1,737
1,396
2,048
1,263
1,086
1,524
1,531
1,780
50
1,918
2,107
1,682
1,492
1,939
745
1,241
1,806
1,881
804
942
1,289
1,281
1,371
1,516
1,371
1,348
1,454
853
2,509
2,065
2,717
1,945
1,622
1,425
2,745
1,312
1,741
2,043
873
2,340
68
448
1,920
2,100
1,670
1,141
1,540
1,971
2,038
38
2,896
1,505
2,433
1,680
1,782
1,974
2,214
1,686
1,599
1,632
2,259
0.7
0.8
1.0
67.0
0.7
0.8
0.3
1.0
13.9
0.6
0.7
0.9
13.5
0.7
0.7
0.3
0.8
7.9
0.8
0.8
0.7
0.9
3.9
0.8
0.8
73%
57%
31%
0%
9%
66%
28%
76%
85%
89%
82%
86%
47%
63%
75%
47%
81%
87%
71%
89%
82%
84%
77%
81%
46%
25%
69%
58%
38%
66%
78%
85%
89%
80%
81%
68%
76%
89%
63%
77%
55%
75%
84%
90%
80%
80%
86%
81%
82%
89%
91%
87%
49%
80%
84%
84%
59%
5%
4%
84%
14%
42%
46%
38%
35%
68%
38%
43%
26%
47%
64%
57%
71%
82%
72%
76%
71%
71%
77%
80%
45%
66%
515.6
399.0
11.0
2,255.0
52,071.0
474.5
318.0
61.0
1,331.0
9,015.0
511.5
475.0
186.0
1,030.0
11,252.0
509.8
349.0
21.0
1,194.0
6,118.0
325.2
239.0
152.0
575.0
1,626.0
271.6
281.0
253
610
1,030
239
684
482
939
315
186
265
544
201
679
468
694
916
425
219
907
194
248
335
290
203
818
1,145
557
21
1,194
720
363
224
206
152
239
575
454
90
348
294
582
338
235
143
268
296
122
488
364
310
173
208
725
550
208
283
834
829
2,255
11
385
1,113
1,128
1,031
747
493
1,227
1,156
28
1,536
543
1,049
490
313
561
535
491
458
380
442
584
418
0.3
0.2
0.0
1.0
34.0
0.3
0.2
0.0
0.7
5.1
0.4
0.3
0.1
1.0
8.5
0.3
0.3
0.2
0.7
4.1
0.2
0.2
0.1
0.3
1.1
0.2
0.2
28%
43%
69%
100%
91%
34%
72%
24%
15%
11%
18%
14%
53%
37%
25%
53%
19%
13%
29%
11%
18%
16%
23%
19%
54%
75%
31%
42%
62%
34%
22%
15%
11%
20%
19%
32%
24%
11%
37%
23%
45%
25%
16%
10%
20%
20%
14%
19%
18%
11%
9%
13%
51%
20%
16%
16%
41%
95%
96%
16%
86%
58%
54%
62%
65%
32%
62%
57%
74%
53%
36%
43%
29%
18%
28%
24%
29%
29%
23%
20%
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$ 343,500.00
$ 1,144,100.00
$ 1,581,600.00
$ 1,036,700.00
$ 628,800.00
$ 394,800.00
$ 750,900.00
$ 1,455,900.00
$ 1,567,500.00
$ 491,000.00
$ 988,200.00
$ 311,000.00
$ 268,100.00
$ 410,600.00
$ 362,700.00
$ 302,500.00
$ 322,200.00
$ 235,800.00
$ 369,400.00
380,145.9
255,750.0
37,400.0
2,483,200.0
37,254,300.0
284,315.8
203,800.0
37,400.0
809,100.0
5,402,000.0
326,563.6
294,800.0
99,000.0
618,600.0
7,184,400.0
340,418.2
213,200.0
124,400.0
741,400.0
3,744,600.0
182,600.0
138,800.0
102,300.0
297,500.0
913,000.0
168,610.0
175,700.0
620.94
630.42
564.46
600.00
611.17
673.03
580.75
517.39
547.36
560.00
554.89
648.64
566.15
624.26
682.55
570.63
775.00
542.91
827.87
453.69
634.62
617.10
645.09
681.73
595.31
478.18
526.44
605.65
467.15
740.05
1,101.20
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
666.4
616.9
400.3
1,402.1
65,310.3
595.2
594.6
464.9
759.9
11,309.6
636.7
617.3
400.3
863.2
14,008.2
616.2
609.9
564.5
735.2
6,778.2
585.9
580.8
517.4
673.0
2,929.7
635.3
1,020.51
904.24
942.04
634.69
856.55
731.91
677.94
616.09
703.49
620.53
835.75
892.21
1,027.94
1,402.13
1,005.53
841.77
800.81
611.98
1,259.43
492.89
697.38
600.58
617.99
400.29
655.19
585.73
579.68
532.26
616.60
863.24
719.90
646.39
569.44
800.86
569.32
806.12
698.17
682.03
592.27
583.06
609.85
735.17
612.81
606.36
596.42
618.67
732.36
549.52
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
AVGRENT
$
520.79
$
640.88
$
647.06
$
609.33
$
588.57
$
532.62
$
613.11
$
532.39
$
545.26
$
588.89
$
464.86
$
543.86
$
594.59
$
607.89
$
759.91
$
711.07
$
677.70
$
535.44
$
595.36
$ 124,700.00
$ 425,400.00
$ 618,600.00
$ 147,700.00
$ 273,800.00
$ 315,800.00
$ 550,000.00
$ 182,600.00
$
99,000.00
$ 163,400.00
$ 469,600.00
$ 144,700.00
$ 438,900.00
$ 266,500.00
$ 555,800.00
$ 521,500.00
$ 342,600.00
$ 152,900.00
$ 618,600.00
$ 114,900.00
$ 144,600.00
$ 204,300.00
$ 213,200.00
$ 124,400.00
$ 496,000.00
$ 682,900.00
$ 344,600.00
$ 741,400.00
$ 453,900.00
$ 204,900.00
$ 134,400.00
$ 125,900.00
$ 102,300.00
$ 138,800.00
$ 297,500.00
$ 248,500.00
$
50,400.00
$ 193,100.00
$ 190,700.00
$ 329,500.00
$ 211,000.00
$ 160,400.00
$
81,600.00
$ 207,700.00
$ 160,700.00
$ 101,000.00
$ 221,400.00
$ 231,000.00
$ 191,300.00
$ 111,600.00
$ 141,800.00
$ 431,600.00
$ 263,000.00
$ 109,500.00
$ 171,400.00
$ 389,600.00
$ 613,500.00
$ 2,483,200.00
427,700.00
229,700.00
GROSSRENT
$ 157,800.00
$ 203,800.00
$ 198,000.00
$ 209,000.00
$
41,200.00
$
75,100.00
$
37,400.00
$ 113,400.00
$ 103,600.00
$ 233,200.00
$
86,000.00
$ 217,000.00
$ 648,100.00
$ 809,100.00
$ 326,000.00
$ 192,700.00
$ 483,200.00
$ 676,800.00
$ 590,600.00
55% $
34% $
OWNERS OWN RENTERS RENT
1,845
86%
303
14%
1,857
85%
318
15%
1,182
79%
306
21%
1,491
81%
343
19%
962
93%
70
7%
973
87%
141
13%
1,503
96%
61
4%
1,052
83%
213
17%
1,133
86%
190
14%
1,405
78%
396
22%
1,573
89%
185
11%
1,756
81%
399
19%
790
42%
1,090
58%
923
41%
1,331
59%
887
67%
429
33%
821
75%
271
25%
1,243
64%
713
36%
901
42%
1,264
58%
448
31%
992
69%
1,071
1,217
H_UNITS
2,148
2,175
1,488
1,834
1,032
1,114
1,564
1,265
1,323
1,801
1,758
2,155
1,880
2,254
1,316
1,092
1,956
2,165
1,440
913.8
876.0
634.0
1,604.0
90,464.0
861.4
853.0
740.0
1,053.0
16,367.0
806.8
798.0
634.0
1,096.0
16,942.0
908.6
898.5
706.0
1,104.0
10,903.0
720.2
699.0
637.0
805.0
3,601.0
845.4
1,091.00
948.00
1,562.00
1,159.00
736.00
890.00
1,009.00
1,037.00
1,092.00
928.00
1,058.00
835.00
715.00
868.00
689.00
670.00
824.00
1,096.00
723.00
828.00
853.00
1,089.00
634.00
947.00
798.00
685.00
758.00
706.00
915.00
1,104.00
882.00
1,017.00
1,025.00
993.00
876.00
874.00
928.00
752.00
831.00
805.00
689.00
637.00
699.00
771.00
765.00
899.00
975.00
746.00
810.00
695.00
1,031.00
942.00
762.00
829.00
836.00
644.00
907.00
946.00
1,018.00
1,085.00
742.00
793.00
747.00
760.00
1,101.00
1,604.00
1,458.00
1,072.00
1,409.00
1,565.00
1,162.00
1,118.00
1,270.00
958.00
1,492.00
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
798.00
997.00
779.00
698.00
658.00
$
$
$
$
$
MORTGAGE
$
740.00
$
877.00
$
805.00
$
762.00
$
853.00
$ 1,053.00
$ 1,026.00
$
879.00
$
786.00
$
897.00
$
881.00
$
770.00
$
789.00
$
754.00
$
957.00
$ 1,030.00
$
976.00
$
748.00
$
784.00
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
822.8
784.7
438.0
1,477.5
80,633.0
799.4
820.6
623.9
1,009.9
15,189.1
732.1
715.4
438.0
1,055.0
16,105.5
802.5
796.6
684.2
1,019.3
8,827.8
690.9
685.7
626.2
784.4
3,454.5
797.4
1,053.61
932.21
1,294.70
1,006.08
757.17
845.07
929.00
914.42
980.72
856.41
1,014.51
917.49
1,188.11
1,477.51
1,065.40
937.15
1,119.80
742.59
1,360.08
716.46
826.31
711.53
796.32
784.41
685.74
626.17
641.18
717.02
742.05
771.87
900.56
664.29
764.21
693.07
982.98
908.80
717.40
828.84
761.64
642.35
873.92
919.23
974.88
835.86
689.14
750.74
724.02
640.45
758.24
1,119.46
714.09
867.01
655.17
617.99
438.02
694.63
663.96
662.51
649.84
801.63
1,054.99
722.58
731.59
749.08
1,016.86
599.81
919.73
784.92
684.15
739.49
684.16
865.09
1,019.31
831.68
796.59
704.47
875.86
716.74
620.74
HCOSTS
$
709.08
$
842.48
$
772.52
$
733.45
$
835.06
$
987.14
$
1,009.90
$
820.64
$
751.43
$
829.25
$
837.21
$
728.13
$
676.28
$
667.72
$
892.75
$
950.85
$
867.26
$
623.90
$
654.05
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
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$
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$
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$
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H
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$
9,873.4
9,416.0
5,256.2
17,730.2
967,596.0
9,593.1
9,847.7
7,486.8
12,118.8
182,269.2
8,784.8
8,585.0
5,256.2
12,659.9
193,266.5
9,630.3
9,559.1
8,209.9
12,231.8
105,933.4
8,290.8
8,228.9
7,514.0
9,412.9
41,454.2
9,568.9
12,643.34
11,186.52
15,536.41
12,072.93
9,086.09
10,140.85
11,148.03
10,973.06
11,768.65
10,276.88
12,174.16
11,009.89
14,257.27
17,730.17
12,784.80
11,245.84
13,437.58
8,911.12
16,320.97
8,597.56
9,915.72
8,538.32
9,555.83
9,412.88
8,228.89
7,514.01
7,694.15
8,604.26
8,904.63
9,262.50
10,806.75
7,971.47
9,170.50
8,316.85
11,795.78
10,905.58
8,608.77
9,946.06
9,139.69
7,708.15
10,487.08
11,030.82
11,698.54
10,030.32
8,269.68
9,008.89
8,688.29
7,685.40
9,098.89
13,433.54
8,569.12
10,404.09
7,861.99
7,415.90
5,256.21
8,335.51
7,967.48
7,950.14
7,798.11
9,619.58
12,659.94
8,670.90
8,779.05
8,988.98
12,202.35
7,197.77
11,036.81
9,419.10
8,209.83
8,873.88
8,209.93
10,381.03
12,231.75
9,980.18
9,559.07
8,453.69
10,510.38
8,600.85
7,448.89
8,508.94
10,109.73
9,270.24
8,801.37
10,020.77
11,845.63
12,118.76
9,847.66
9,017.12
9,951.04
10,046.51
8,737.56
8,115.38
8,012.65
10,713.00
11,410.22
10,407.17
7,486.82
7,848.60
T
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
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$
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$
$
$
$
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$
$
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$
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$
$
$
$
$
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$
$
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$
$
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$
$
16,583.3
17,260.7
11,445.8
18,749.9
1,708,079.7
16,587.4
17,351.3
13,907.7
18,059.9
331,747.7
15,834.5
16,198.9
12,977.9
18,090.2
364,192.6
16,889.2
17,329.7
14,655.8
18,641.1
202,670.4
17,624.9
17,495.7
17,319.2
18,155.8
88,124.5
17,410.0
17,533.78
17,911.61
17,565.41
17,268.51
17,196.12
17,434.04
17,455.49
18,059.94
17,863.00
17,907.63
17,685.47
17,441.16
15,780.02
14,834.92
13,907.68
14,450.68
16,025.77
15,885.92
14,457.64
15,082.95
15,040.01
14,848.87
17,958.59
14,606.12
14,754.97
13,998.50
12,977.91
13,524.66
14,559.52
13,153.76
14,805.49
18,090.16
17,686.20
17,260.72
16,572.20
16,579.38
16,426.94
17,169.27
16,107.68
16,198.90
17,705.58
16,368.54
17,798.62
18,641.15
18,167.36
16,856.64
17,584.87
15,646.78
15,054.05
15,581.05
17,371.68
14,655.79
17,287.64
18,082.43
17,740.99
17,702.10
17,319.23
18,155.82
17,451.66
17,495.72
17,287.61
17,094.66
17,124.88
17,373.51
17,162.52
17,062.38
17,939.84
17,464.20
17,922.39
17,667.77
18,049.99
18,159.31
17,779.44
18,749.93
16,846.56
16,930.73
17,315.32
17,786.90
17,632.04
17,194.29
11,445.79
11,884.16
13,799.84
15,374.84
15,835.15
16,608.60
13,963.31
12,454.89
17,185.19
17,765.27
15,758.24
16,596.33
16,421.94
17,420.58
17,107.69
17,324.46
17,907.79
17,966.39
18,072.65
17,419.66
17,362.66
17,535.07
17,589.60
25,977.4
26,432.9
13,799.8
34,338.8
2,675,675.6
25,700.8
26,305.8
15,082.9
29,574.2
514,016.9
24,237.4
24,578.4
17,958.6
29,920.7
557,459.1
25,717.0
26,735.9
17,371.7
29,088.4
308,603.9
25,915.7
25,669.8
25,145.8
27,115.0
129,578.7
26,978.9
0.6
0.6
0.2
1.9
62.4
0.6
0.5
0.4
0.9
11.1
0.7
0.6
0.4
1.7
15.6
0.6
0.6
0.3
0.7
6.8
0.6
0.6
0.5
0.7
2.9
0.6
H+T
AFFORD
$ 26,042.72
57%
$ 28,021.34
53%
$ 26,835.65
58%
$ 26,069.88
56%
$ 27,216.88
52%
$ 29,279.67
52%
$ 29,574.24
45%
$ 27,907.60
52%
$ 26,880.13
54%
$ 27,858.67
54%
$ 27,731.97
45%
$ 26,178.72
49%
$ 23,895.41
61%
$ 22,847.57
62%
$ 24,620.68
66%
$ 25,860.90
46%
$ 26,432.93
74%
$ 23,372.75
78%
$ 22,306.24
95%
$ 15,082.95
$ 23,640.87
82%
$ 22,297.77
67%
$ 17,958.59
$ 23,175.24
50%
$ 25,159.05
55%
$ 21,860.49
102%
$ 20,393.81
112%
$ 18,780.87
167%
$ 22,895.02
65%
$ 21,121.24
94%
$ 22,755.63
56%
$ 25,888.28
60%
$ 27,305.78
56%
$ 29,920.66
42%
$ 25,243.11
50%
$ 25,358.42
82%
$ 25,415.91
64%
$ 29,371.62
45%
$ 23,305.45
92%
$ 27,235.71
44%
$ 27,124.68
56%
$ 24,578.38
69%
$ 26,672.50
54%
$ 26,851.07
58%
$ 28,548.39
54%
$ 29,088.40
49%
$ 27,565.05
54%
$ 25,205.85
71%
$ 23,507.74
72%
$ 26,091.42
51%
$ 17,371.68
30%
$ 23,253.34
69%
$ 27,203.37
61%
$ 26,620.75
58%
$ 27,296.82
49%
$ 27,114.98
53%
$ 25,548.12
49%
$ 25,669.83
59%
$ 25,145.80
60%
$ 26,099.98
65%
$ 26,192.23
54%
$ 26,357.15
60%
$ 27,931.63
55%
$ 25,344.98
60%
$ 26,333.02
61%
$ 25,379.23
56%
$ 29,735.62
57%
$ 28,369.78
52%
$ 26,531.16
67%
$ 27,613.83
65%
$ 27,189.68
56%
$ 25,867.46
55%
$ 28,266.51
42%
$ 29,780.75
48%
$ 28,545.10
44%
$ 26,961.04
55%
$ 25,585.01
58%
$ 26,795.79
54%
$ 26,320.33
63%
$ 24,879.69
69%
$ 20,544.68
109%
$ 25,317.70
188%
$ 13,799.84
$ 26,384.73
100%
$ 30,092.42
55%
$ 34,338.78
61%
$ 26,748.11
69%
$ 23,700.73
53%
$ 30,622.78
52%
$ 26,676.39
78%
$ 32,079.20
76%
$ 16,596.33
22%
$ 29,065.28
71%
$ 28,607.10
61%
$ 32,644.10
53%
$ 29,397.39
48%
$ 26,993.88
60%
$ 28,107.24
63%
$ 29,220.67
57%
$ 28,392.72
46%
$ 29,131.30
53%
$ 27,811.95
50%
$ 29,763.76
48%