Document ID: EPA-HQ-OW-2002-0049-0050
Agency: epa
Document Type: Supporting & Related Material
Title: 
Posted Date: 2003-03-19T05:00Z

Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
12345678
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A
B
316b
Non­
Use
Benefits
Meta­
Analysis
This
working
file
presents
the
data
and
analysis
for
EPA's
meta­
analysis
of
non­
use
benefits
for
the
316(
b)
NODA.

Date:
3/
12/
2003
Worksheet
Summary
Worksheet
Description
Studies
Table
Presents
summary
information
for
each
study
in
the
meta­
analysis;
used
to
create
appendix
A
in
the
March
12th,
2003
memorandum
"
Comparison
of
Non­
Use
and
Use
Values
from
Surface
Water
Valuation
Studies"

WTP
Values
Table
­
NU
Presnts
WTP
values
resulting
from
meta­
analysis
for
non­
user
samples
for
each
study,
in
2002
dollars
(
see
worksheet
"
CPI"
for
inflation
index).

WTP
Values
Table
­
U
Presnts
WTP
values
resulting
from
meta­
analysis
for
user
samples
for
each
study,
in
2002
dollars
(
see
worksheet
"
CPI"
for
inflation
index).

WTP
Values
and
Ratios
­
concise
Presents
semi­
aggregated
WTP
value
components
for
each
study,
inflated
to
2002
dollars
(
see
worksheet
"
CPI"
for
inflation
index).

WTP
Values
and
Ratios
Presents
all
WTP
estimates
presented
in
valuation
studies
that
were
extracted
for
this
meta­
analysis,

inflated
to
2002
dollars
(
see
worksheet
"
CPI"
for
inflation
index).

Studies
Presents
all
raw
data
extracted
from
valuation
studies
used
in
meta­
analysis.

Codes
Presents
coding
of
select
variables
in
"
Studies"
worksheet.

Calculations
Presents
peripheral
calculations
by
study
(
mostly
income
estimates
for
studies
that
did
not
report
sample
income).

Weighted
WTP
Values
Presents
aggregated
WTP
values
and
calculates
values
weighted
by
study
in
order
to
derive
meaningul
estimates
of
mean
and
median
sample
WTP
for
all
meta­
analysis
studies.

Study
Characteristics
Summary
This
worksheet
pulls
select
data
fields
from
the
worksheet
"
Studies"
by
study
and
calculates
summary
statistics
that
tally
the
number
of
studies
with
various
characteristics.

State
Income
Presents
Census
income
data
(
Median
Household
Income
by
State:
1984
to
2001)
used
to
estimate
median
income
for
studies
where
sample
mean
or
median
income
was
not
reported.

State
Income
Footnotes
Contains
footnotes
for
the
data
presented
in
the
"
State
Income"
worksheet.

County
Income
Presents
Census
income
data
(
Median
Household
Income
by
County:
1969,
1979,
1989)
used
to
estimate
median
income
for
studies
where
sample
mean
or
median
income
was
not
reported.

CPI
Presnts
the
Consumer
Price
Index
(
CPI)
data
series
used
to
inflate
study
values
to
2002
dollars.

March
12th,
2003
Page
1
of
157
5­
1200
­
File
Info
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123
4
5
6
7
8
9
10
11
12
13
14
A
B
C
D
E
F
G
H
I
J
K
L
Study
Characteristics
Appendix
Table
A
­
Non­
Use
Analysis
Studies
and
Characteristics
Estimate
ID
Study
ID
Author
&
Year
Amenity
Valued
Sampled
Population
Admin
Method
&

Response
Rate
Elicitation
Method
Mean
Annual
Non
Use
WTP/
hh
(
2002$)
Nonuse
Method
Sample
Size
Mean
Annual
Use
WTP/
hh
(
2002$)
Mean
Annual
User
Non­
Use
WTP/
hh
(
2002$)

29
19
Clonts
&
Malone
(
1990)
Preservation
of
15
Alabama
rivers
in
a
freeflowing
state,
opposed
to
rivers
which
have
been
altered
by
dams,
infrastructure,
diversion
or
extraction.
random
sample
of
AL
households
phone
(
0.705)
IB
$
55.43
value
categories
­

user
/

nonuser
733
$
30.88
$
82.35
13
7
Croke
et
al.
(
1986)
Improvement
in
water
quality,
defined
by
3
levels
allowing
outings,
outings
&
boating,
and
outings,
boating
&
fishing,
respectively.
households
in
Chicago
and
suburbs
personal
interview
(
na)
IB
$
53.31
user
/

nonuser
total
values
296
$
17.61
14
7
Croke
et
al.
(
1986)
0
households
in
Chicago
and
suburbs
personal
interview
(
0.73)
IB
$
60.91
user
/

nonuser
total
values
279
$
11.11
15
7
Croke
et
al.
(
1986)
0
households
in
Chicago
and
suburbs
phone
(
0.725)
IB
$
75.11
user
/

nonuser
total
values
280
$
6.35
19
11
Cronin
(
1982)
Change
from
useable
for
recreation
to
boating.

Incremental
WTP
for
water
quality
of
the
Potomac
River.
Five
levels
of
water
quality
are
based
on
low­
flow,
high­
temperature
conditions,

differing
in
5
physical
and
biochemical
characteristics
(
levels
of
DO,
fecal
coliform,

nitrogen,
phosphorous,
and
turbidity).
representative
sample
of
Washington
D.
C.

residences
mail
(
0.5)
OE
$
59.37
user
/

nonuser
total
values
1432
$
23.75
20
12
Desvousges
et
al.

(
1983)
Various
water
quality
levels
on
the
Monongahela
River,
using
RFF
water
quality
ladder:
1)
avoid
decrease
in
quality
from
boatable
to
not
suitable
for
recreation,
2)

improve
quality
from
boatable
to
where
game
fish
could
survive,
3)
improve
quality
from
fishable
to
swimmable.
4
elicitation
methods
used,
valuing
all
3
levels
each.
WTP
value
obtained
to
avoid
decrease,
and
then
incremental
values
for
2
levels
of
improvement
(
p.
5­
25)
housholds
in
five
counties
in
PA
mail
(
0.27)
PC
$
111.41
assume
nonuse
­
value
categories
205­
280
$
89.65
$
130.59
1
1
Huang
et
al.
(
1997)
restoration
of
quality
of
Pamlico
and
Albemarle
Sounds
to
1981
level
in
terms
of
increase
of
fish
catches
and
shellfish
beds
eastern
NC
households
phone
(
na)
DC
$
59.02
revealed
&

stated
511
$
158.25
2
1
Huang
et
al.
(
1997)
0
eastern
NC
households
phone
(
0.84571428571428
6)
DC
$
119.52
revealed
&

stated
511
$
97.75
24
15
Kaoru
(
1993)
Poor
to
fair.
Water
quality
improvement
in
3
coastal
ponds
to
allow
them
to
be
open
for
shellfishing
year
round
(
some
were
closed
at
time
of
survey).
random
sample
of
Martha's
Vineyard
property
owners
mail
(
0.51)
OE
$
112.57
allocation
­

entire
sample
145
$
77.04
9
5
Lant
&
Roberts
(
1990)
Local
river
quality
on
a
scale
defined
by
'
poor,'

'
fair,'
'
good,'
or
'
excellent,'
represented
by
photographs.
The
levels
of
quality
framed
by
the
recreational
uses
they
support.
residents
in
14
towns
in
IA
and
IL,
drawn
from
telephone
listings
mail
(
0.49)
PC
$
68.56
value
categories
­

entire
sample
195
$
57.30
March
12th,
2003
Page
2
of
157
5­
1200
­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123
4
5
6
7
8
9
10
11
12
13
14
M
N
O
P
Mean
Annual
Household
Income
(
2002$)
Waterbody
Type
Geographic
Scale
of
Improvement
Year
Index
$
39,591
rivers
statewide
20
$
47,402
urban
rivers
local/
regional
16
$
47,402
urban
rivers
local/
regional
16
$
47,402
urban
rivers
local/
regional
16
$
56,896
river
single
water
body
12
$
38,664
river
single
water
body
13
$
37,498
estuary
single
water
body
27
$
37,498
estuary
single
water
body
27
$
137,693
estuaries
multiple
water
bodies
23
$
39,016
rivers
local/
regional
20
March
12th,
2003
Page
3
of
157
5­
1200
­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
15
16
17
18
19
20
21
22
23
A
B
C
D
E
F
G
H
I
J
K
L
10
5
Lant
&
Roberts
(
1990)
0
residents
in
14
towns
in
IA
and
IL,
drawn
from
telephone
listings
personal
interview
(
0.407)
PC
$
88.40
value
categories
­

entire
sample
195
$
77.04
11
5
Lant
&
Roberts
(
1990)
0
residents
in
14
towns
in
IA
and
IL,
drawn
from
telephone
listings
personal
interview
(
0.407)
PC
$
85.29
value
categories
­

entire
sample
195
$
78.34
8
4
Magat
et
al.
(
2000)
Water
quality
is
defined
as
"
good"
(
safe
to
swim,

eat
fish,
supports
many
plants,
fish
and
other
aquatic
life)
or
"
not
good"
(
unsafe
to
swim
&
eat
fish,
only
supports
small
#
of
plants
&
aquatic
life).
water
quality
in
lakes
and
rivers
near
hypothetical
location
respondent
(
CO
&
NC)

might
live
base
on
3
dimensions:
aquatic
life
support,
fish
consumption,
&
swimming
various
populations
in
CO
and
NC
phone
(
0.75)
IB
$
11.49
assume
nonuse
348
$
22.98
28
18
Mitchell
&
Carson
(
1981)
Improvement
in
nation's
water
quality
(
lakes,

rivers
and
streams)
from
qualitatively
established
baseline,
ok
for
boating,
to
a
level
that
supports
game
fish
such
as
bass.
Boating
­­

Game
fishing.
National
probability
sample
of
persons
18
or
older
mail
(
0.61)
PC
$
242.34
user
/

nonuser
total
values
695
$
275.09
16
8
Olsen
et
al.
(
1991)
Doubling
the
Columbia
River
Basin
salmon
and
steelhead
runs
(
framed
for
users
as
more
fish
available
for
ocean
and
river
basin
sport
catch,

with
assurances
of
ecological
stability
and
diversity).
Pacific
Northwest
residents
with
phones
personal
interview
(
na)
OE
$
38.475
user
/

nonuser
total
values
1177
#
REF!

22
14
Opaluch
et
al.
(
1999)
3
scenarios
for
both
Eelgrass
habitat
and
wetlands
habitat
in
the
Peconic
estuary
area:

baseline
("
no
new
action")
level
of
degradation
by
2020,
program
to
restore,
and
program
to
preserve
the
resource,
in
terms
of
acreage.
individuals
in
the
east
end
of
Long
Island,
NY
mail
(
0.51)
CC
$
0.05
user
/

nonuser
total
values
968
#
REF!

23
14
Opaluch
et
al.
(
1999)
0
individuals
in
the
east
end
of
Long
Island,
NY
mail
(
0.51)
CC
$
0.05
user
/

nonuser
total
values
968
#
REF!

12
6
Roberts
&
Leitch
(
1997)
Various
economic
outputs
(
recreation,
aesthtics,

fish/
wildlife
habitat
etc.)
of
Mud
Lake,
a
lacustrine
wetland
with
recreational,
aesthetic,

and
other
uses.
"
If
Mud
Lake
was
managed
primarily
for
water­
related
recreation
and
fish/
wildlife
habitat,
what
would
you
be
willing
to
pay
through
an
annual
use
permit
to
participate
in
recreational
activities
at
Mud
Lake?"

Additional
questions
for
existence
&
option
values.
random
sample
of
housholds
within
30
mile
radius
of
Mud
Lake
personal
interview
(
0.407)
PC
$
2.09
value
categories
­

entire
sample
575
$
5.17
26
17
Rowe
et
al.
(
1985)
Clean
up
and
protection
of
eagle
mine
area
of
Eagle
River
and
prevent
future
contamination,

which
would
raise
water
quality
from
a
level
ok
for
watering
your
lawn,
or
for
some
industrial
uses,
to
ok
for
swimming,
rafting
etc.

(
interpreted
as
very
poor
to
excellent).
residents
of
Eagle
County,
CO
personal
interview
(
na)
OE
$
69.15
revealed
&

stated
507
$
47.88
March
12th,
2003
Page
4
of
157
5­
1200
­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
15
16
17
18
19
20
21
22
23
M
N
O
P
$
39,016
rivers
local/
regional
20
$
39,016
rivers
local/
regional
20
$
45,283
all
freshwater
(
lakes
&

rivers)
local/
regional
30
$
43,549
all
freshwater
national
11
$
39,475
river
single
water
body
21
$
66,862
estuary
single
water
body
29
$
66,862
estuary
single
water
body
29
$
30,396
wetland
single
water
body
27
$
62,606
river
single
water
body
15
March
12th,
2003
Page
5
of
157
5­
1200
­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
24
25
26
27
28
29
30
31
32
A
B
C
D
E
F
G
H
I
J
K
L
27
17
Rowe
et
al.
(
1985)
Clean
up
of
Eagle
mine
hazardous
waste
site;

respondent
state
WTP
to
cleanup
all
CO
sites,

then
allocated
by
%
among
7
sites
for
which
the
State
was
taking
legal
action,
including
EM.

Baseline
and
improvement
not
well
defined,
but
assumed
same
as
change
in
other
survey
version.
CO
households
mail
(
0.76)
PC
$
12.46
allocation
­

entire
sample
570
$
6.54
4
3
Sanders
et
al.
(
1990)
protection
of
a
specific
#
of
CO
rivers
(
incremental
WTP)
in,
described
as
"
wild"
and
"
scenic"
rivers
with
an
array
of
possible
benefits,

which
respondents
are
asked
to
indicate
CO
residents;
representative
of
state
phone
(
0.84571428571428
6)
OE
$
46.91
allocation
­

entire
sample
214
$
24.96
5
3
Sanders
et
al.
(
1990)
0
CO
residents;
representative
of
state
personal
interview
(
0.815)
OE
$
87.60
allocation
­

entire
sample
214
$
46.62
6
3
Sanders
et
al.
(
1990)
0
CO
residents;
representative
of
state
personal
interview
(
0.8059)
OE
$
111.99
allocation
­

entire
sample
214
$
59.61
7
3
Sanders
et
al.
(
1990)
0
CO
residents;
representative
of
state
phone
(
0.75)
OE
$
115.35
allocation
­

entire
sample
214
$
63.45
17
9
Sutherland
&
Walsh
(
1985)
Protection
of
water
quality
in
Flathead
Lake
and
River,
MT.
Avoid
potential
degradation.
sample
drawn
from
phone
directories
of
four
major
cities
adjacent
to
rural
areas
in
MT
personal
interview
(
na)
OE
$
91.53
allocation
­

entire
sample
171
$
35.78
18
10
Walsh
et
al.
(
1978)
WTP
to
postpone
mining
that
would
degrade
water
quality
throughout
the
South
Platte
Basin
(
CO)
enough
to
permanently
preclude
riparian
recreation
(
3
photos
used);
payments
said
to
be
used
for
water
quality
improvments
to
enhance
recreational
enjoyment.
Amenity
change
is
because
damages
would
be
irreversible,
and
preservation
level
has
no
heavy
metals
present/

contamination.
random
sample
of
households
in
Denver
and
Fort
Collins,
CO
mail
(
0.62)
IB
$
132.63
assume
nonuse
­
value
categories
174
­
205
$
250.66
$
211.42
25
16
Welle
(
1986)
Prevention
of
acid
deposition
pollution
that
results
in
avoidance
of
decrease
in
MN
water
quality.
representative
sample
of
MN
adults
drawn
from
list
of
driver's
license
holders
mail
(
0.61)
OE
$
113.69
value
categories
­

user
/

nonuser
415
$
20.06
$
198.96
21
13
Whitehead
&
Groothuis
(
1992)
Water
quality
improvement
in
the
Tar­
Pamlico
River
due
to
implementation
of
Best
Management
Practices
by
farmers
to
reduce
non­
point
source
pollution
(
financed
through
state
fund).
Result
would
be
doubled
catch
rate
for
anglers
and
general
improvements
in
fishing,

swimming,
boating,
and
drinking.
Eastern
NC
households
the
Tar­
Pamlico
River
basin
mail
(
0.51)
OE
$
27.74
user
/

nonuser
total
values
91
$
18.49
March
12th,
2003
Page
6
of
157
5­
1200
­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
24
25
26
27
28
29
30
31
32
M
N
O
P
$
45,978
river
single
water
body
15
$
44,674
rivers
multiple
water
bodies
20
$
44,674
rivers
multiple
water
bodies
20
$
44,674
rivers
statewide
20
$
44,674
rivers
statewide
20
$
39,907
river
&
lake
single
water
body
15
$
43,941
river
basin
local/
regional
8
$
43,470
all
freshwater
statewide
16
$
46,164
river
single
water
body
22
March
12th,
2003
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7
of
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5­
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­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
33
A
B
C
D
E
F
G
H
I
J
K
L
3
2
Whitehead
et
al.
(
1995)
WTP
to
make
sure
water
pollution
does
not
get
worse
and
wildlife
habitat
remains
the
same.

Water
quality
and
fish
&
wildlife
habitat
in
the
Albemarle­
Pamlico
estuary
system;
benefits
of
estuaries
(
incl.
recreational
use
&
nonuse)

described
to
respondents.
100
counties
in
NC,
16
counties
in
VA
phone
(
0.84571428571428
6)
IB
$
68.08
user
/

nonuser
total
values
1033
$
29.83
March
12th,
2003
Page
8
of
157
5­
1200
­
Studies
Table
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
33
M
N
O
P
$
49,541
estuary
single
water
body
25
March
12th,
2003
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9
of
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5­
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­
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Table
Record
for
the
316(
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Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123456789
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
A
B
C
D
E
Ratio
Table
for
Non­
Users
Table
5.1:
Total
Use
and
Non­
Use
Values
(
2002$)

Author
Survey
Year
Non­
Use
Value
Mean
Total
Use
Value
29
Clonts
&
Malone
(
1990)
1987
$
55.43
$
30.88
13
Croke
et
al.
(
1986)
1986
$
53.31
$
17.61
14
Croke
et
al.
(
1986)
1986
$
60.91
$
11.11
15
Croke
et
al.
(
1986)
1986
$
75.11
$
6.35
19
Cronin
(
1982)
1973
$
59.37
$
23.75
20
Desvousges
et
al.
(
1983)
1981
$
111.41
$
89.65
1
Huang
et
al.
(
1997)
1995
$
59.02
$
158.25
2
Huang
et
al.
(
1997)
1995
$
119.52
$
97.75
24
Kaoru
(
1993)
1989
$
112.57
$
77.04
9
Lant
&
Roberts
(
1990)
1987
$
68.56
$
57.30
10
Lant
&
Roberts
(
1990)
1987
$
88.40
$
77.04
11
Lant
&
Roberts
(
1990)
1987
$
85.29
$
78.34
8
Magat
et
al.
(
2000)
1997
$
11.49
$
22.98
28
Mitchell
&
Carson
(
1981)
1980
$
242.34
$
275.09
16
Olsen
et
al.
(
1991)
1989
$
38.48
$
69.12
12
Roberts
&
Leitch
(
1997)
1996
$
2.09
$
5.17
26
Rowe
et
al.
(
1985)
1985
$
69.15
$
47.88
27
Rowe
et
al.
(
1985)
1985
$
12.46
$
6.54
4
Sanders
et
al.
(
1990)
1983
$
46.91
$
24.96
5
Sanders
et
al.
(
1990)
1983
$
87.60
$
46.62
6
Sanders
et
al.
(
1990)
1983
$
111.99
$
59.61
7
Sanders
et
al.
(
1990)
1983
$
115.35
$
63.45
17
Sutherland
&
Walsh
(
1985)
1981
$
91.53
$
35.78
18
Walsh
et
al.
(
1978)
1976
$
132.63
$
250.66
25
Welle
(
1986)
1985
$
113.69
$
20.06
21
Whitehead
&
Groothuis
(
1992)
1991
$
27.74
$
18.49
3
Whitehead
et
al.
(
1995)
1990
$
68.08
$
29.83
Median
Value
1986
$
74.41
$
33.33
Mean
Value
1986
$
79.51
$
68.61
March
12th,
2003
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10
of
157
5­
1200
­
WTP
Values
Table
­
NU
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123456789
10
A
B
C
D
E
Ratio
Table
for
Users
Table
5.2:
Total
Use
and
Non­
Use
Values
for
Resource
Users
(
2002$)

Author
Survey
Year
User
Non­
Use
Value
Mean
Total
Use
Value
29
Clonts
&
Malone
(
1990)
1987
$
82.35
$
30.88
20
Desvousges
et
al.
(
1983)
1981
$
130.59
$
89.65
18
Walsh
et
al.
(
1978)
1976
$
211.42
$
250.66
25
Welle
(
1986)
1985
$
198.96
$
20.06
Median
Value
1983
$
164.78
$
60.27
Mean
Value
1982
$
155.83
$
97.81
March
12th,
2003
Page
11
of
157
5­
1200
­
WTP
Values
Table
­
U
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1234
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
A
B
C
D
E
F
G
H
I
J
K
L
M
WTP
Values
and
Ratios
­
Concise
All
values
expressed
in
$
2002
Identification
Pub
Info
Entire
Sample:
Users
+
Non­
Users
User
Values
Non­
User
Values
Estimate
ID
Study
ID
Primary
Author
Survey/

Data
Year
Total
Use
Value
(
use
+
option)
Recreational
Use
Value
(
direct)
Total
Non­
Use
Value
Total
Use
Value
(
direct)
Recreational
Use
Value
(
direct)
Indirect
Use
Value
(
off­
site
use)
Total
Non­
Use
Value
Actual
/
Imputed
Non­
Use
Value
Total
Non­
Use
Value
Plus
Option
Value
1
1
Huang
et
al.
1995
$
158.3
$
­
$
59.0
$
­
$
­
$
­
$
­
$
­

2
1
Huang
et
al.
1995
$
97.8
$
­
$
119.5
$
­
$
­
$
­
$
­
$
­

3
2
Whitehead
et
al.
1990
$
­
$
­
$
­
$
29.8
$
­
$
76.7
$
68.1
I
$
68.1
4
3
Sanders
et
al.
1983
$
25.0
$
13.6
$
46.9
$
­
$
­
$
­
$
­
$
­

5
3
Sanders
et
al.
1983
$
46.6
$
25.4
$
87.6
$
­
$
­
$
­
$
­
$
­

6
3
Sanders
et
al.
1983
$
59.6
$
32.5
$
112.0
$
­
$
­
$
­
$
­
$
­

7
3
Sanders
et
al.
1983
$
63.5
$
34.6
$
115.3
$
­
$
­
$
­
$
­
$
­

8
4
Magat
et
al.
1997
$
23.0
$
­
$
11.5
$
­
$
­
$
­
$
­
$
­

9
5
Lant
&
Roberts
1987
$
­
$
57.3
$
68.6
$
­
$
­
$
­
$
­
$
­

10
5
Lant
&
Roberts
1987
$
­
$
77.0
$
88.4
$
­
$
­
$
­
$
­
$
­

11
5
Lant
&
Roberts
1987
$
­
$
78.3
$
85.3
$
­
$
­
$
­
$
­
$
­

12
6
Roberts
&

Leitch
1996
$
5.2
$
2.4
$
2.1
$
­
$
­
$
­
$
­
$
­

13
7
Croke
et
al.
1986
$
­
$
­
$
­
$
17.6
$
­
$
­
$
53.3
I
$
53.3
14
7
Croke
et
al.
1986
$
­
$
­
$
­
$
11.1
$
­
$
­
$
60.9
I
$
60.9
15
7
Croke
et
al.
1986
$
­
$
­
$
­
$
6.4
$
­
$
­
$
75.1
I
$
75.1
16
8
Olsen
et
al.
1989
$
­
$
­
$
­
$
69.1
$
69.1
$
­
$
38.5
I
$
38.5
17
9
Sutherland
&
Walsh
1981
$
35.8
$
14.6
$
91.5
$
­
$
­
$
­
$
­
$
­

18
10
Walsh
et
al.
1976
$
­
$
­
$
­
$
250.7
$
179.2
$
­
$
211.4
A
$
132.6
19
11
Cronin
1973
$
­
$
­
$
­
$
­
$
23.7
$
­
$
59.4
I
$
59.4
20
12
Desvousge
s
et
al.
1981
$
­
$
­
$
­
$
89.7
$
39.0
$
­
$
130.6
A
$
111.4
March
12th,
2003
Page
12
of
157
5­
1200
­
WTP
Values
and
Ratios
­
concise
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
26
27
28
29
30
31
32
33
34
A
B
C
D
E
F
G
H
I
J
K
L
M
21
13
Whitehead
&
Groothuis
1991
$
­
$
­
$
­
$
18.5
$
­
$
­
$
27.7
I
$
27.7
22
14
Opaluch
et
al.
1995
$
­
$
­
$
­
$
0.0
$
­
$
­
$
0.1
I
$
0.1
23
14
Opaluch
et
al.
1995
$
­
$
­
$
­
$
0.0
$
­
$
­
$
0.1
I
$
0.1
24
15
Kaoru
1989
$
77.0
$
48.9
$
112.6
$
­
$
­
$
­
$
­
$
­

25
16
Welle
1985
$
­
$
­
$
­
$
20.1
$
­
$
­
$
199.0
A
$
113.7
26
17
Rowe
et
al.
1985
$
­
$
47.9
$
69.2
$
­
$
­
$
­
$
­
$
­

27
17
Rowe
et
al.
1985
$
6.5
$
­
$
12.5
$
­
$
­
$
­
$
­
$
­

28
18
Mitchell
&

Carson
1980
$
­
$
­
$
­
$
275.1
$
­
$
­
$
242.3
I
$
242.3
29
19
Clonts
&

Malone
1987
$
­
$
12.7
$
­
$
30.9
$
11.9
$
­
$
82.3
A
$
55.4
March
12th,
2003
Page
13
of
157
5­
1200
­
WTP
Values
and
Ratios
­
concise
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1234
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
WTP
Values
and
Ratios
All
values
expressed
in
$
2002
Identification
Pub
Info
Entire
Sample:
Users
+
Non­
Users
Estimate
ID
Study
ID
Primary
Author
Survey/

Data
Year
Total
Sample
WTP
Total
Sample
WTP
Desc.
Total
Use
Value
(
use
+
option)
Total
Use
Value
Desc.
Recreational
Use
Value
(
direct)
Recreational
Use
Value
Desc.
(
direct)
Option
Value
Option
Value
Desc.
Total
Non­
Use
Value
Total
Non­
Use
Value
Desc.
Existence
Value
Bequest
Value
Total
User
Value
(
use
+

non­
use
value)
Total
Use
Value
(
direct)

1
1
Huang
et
al.
1995
$
­
0
$
158.3
0
$
­
0
$
­
0
$
59.0
0
$
­
$
­
$
­
$
­

2
1
Huang
et
al.
1995
$
­
0
$
97.8
0
$
­
0
$
­
0
$
119.5
0
$
­
$
­
$
­
$
­

3
2
Whitehead
et
al.
1990
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
97.9
$
29.8
4
3
Sanders
et
al.
1983
$
­
0
$
25.0
0
$
13.6
0
$
11.3
0
$
46.9
0
$
20.4
$
26.5
$
­
$
­

5
3
Sanders
et
al.
1983
$
­
0
$
46.6
0
$
25.4
0
$
21.2
0
$
87.6
0
$
38.1
$
49.5
$
­
$
­

6
3
Sanders
et
al.
1983
$
­
0
$
59.6
0
$
32.5
0
$
27.1
0
$
112.0
0
$
48.8
$
63.2
$
­
$
­

7
3
Sanders
et
al.
1983
$
­
0
$
63.5
0
$
34.6
0
$
28.8
0
$
115.3
0
$
50.0
$
65.4
$
­
$
­

8
4
Magat
et
al.
1997
$
­
0
$
23.0
rec.
value
$
­
0
$
­
0
$
11.5
0
$
­
$
­
$
­
$
­

9
5
Lant
&
Roberts
1987
$
­
0
$
­
0
$
57.3
0
$
­
0
$
68.6
0
$
­
$
­
$
­
$
­

10
5
Lant
&
Roberts
1987
$
­
0
$
­
0
$
77.0
0
$
­
0
$
88.4
0
$
­
$
­
$
­
$
­

11
5
Lant
&
Roberts
1987
$
­
0
$
­
0
$
78.3
0
$
­
0
$
85.3
0
$
­
$
­
$
­
$
­

12
6
Roberts
&

Leitch
1996
$
­
0
$
5.2
option
+
rec.
$
2.4
all
respondents
mean
$
2.8
all
respondents
mean,
includes
bequest
value
$
2.1
0
$
2.1
$
­
$
­
$
­

13
7
Croke
et
al.
1986
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
70.9
$
17.6
14
7
Croke
et
al.
1986
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
72.0
$
11.1
15
7
Croke
et
al.
1986
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
81.5
$
6.4
16
8
Olsen
et
al.
1989
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
107.6
$
69.1
March
12th,
2003
Page
14
of
157
5­
1200
­
WTP
Values
and
Ratios
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1234
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
S
T
U
V
W
X
Y
Z
AA
AB
AC
AD
AE
AF
AG
AH
AI
User
Values
Non­
User
Values
Total
Use
Value
Desc.
Recreational
Use
Value
(
direct)
Recreational
Use
Value
Desc.

(
direct)
Indirect
Use
Value
(
off­
site
use)
Option
Value
Option
Value
Desc.
Total
Non­
Use
Value
Actual
/
Imputed
Non­
Use
Value
Total
Non­
Use
Value
Desc.
Existence
Value
Bequest
Value
Total
Non­
Use
Value
Non­
Use
Value
Desc.
Existence
Value
Bequest
Value
Option
Value
Option
Value
Desc.

$
­
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
0
$
­
0
$
76.7
$
­
0
$
68.1
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
68.1
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
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
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
IMPUTED
NON­
USE
VALUE
$
­
0
$
­
$
­
0
$
53.3
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
53.3
0
$
­
$
­
$
­
0
IMPUTED
NON­
USE
VALUE
$
­
0
$
­
$
­
0
$
60.9
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
60.9
0
$
­
$
­
$
­
0
IMPUTED
NON­
USE
VALUE
$
­
0
$
­
$
­
0
$
75.1
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
75.1
0
$
­
$
­
$
­
0
use
value
portion
of
total
value
(
Brown
assumption
of
subtracting
non­
use
value
from
total,
74.16)
$
69.1
0
$
­
$
­
0
$
38.5
I
Assumes
users
to
have
same
non­
use
value
as
nonusers
(
Brown)
$
­
$
­
$
38.5
Total
value
for
nonusers
with
no
probability
of
future
use
$
­
$
­
$
­
0
March
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2003
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5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
AJ
AK
AL
AM
AN
Nonuse­
Use
Ratios
Other
Group
Value
Other
Desc.
Ratio
Type
(
1=
total
pop,
0=

nonuseruser
Total
Population
Ratio
(
prioritizes
total
use
as
value
as
denom.)
Nonuser­
User
Ratio
(
user
non­
use
value
implied
in
some
cases)

$
­
0
1
0.37
$
­
0
1
1.22
$
­
0
0
2.28
$
­
0
1
1.88
$
­
0
1
1.88
$
­
0
1
1.88
$
­
0
1
1.82
$
­
0
1
0.50
$
­
0
1
1.20
$
­
0
1
1.15
$
­
0
1
1.09
$
­
0
1
0.40
$
­
0
0
3.03
$
­
0
0
5.48
$
­
0
0
11.82
$
84.96
Non­
users
with
some
probability
of
future
use
0
0.56
March
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2003
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16
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Values
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23
24
25
26
27
28
29
30
31
32
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
17
9
Sutherland
&
Walsh
1981
$
­
0
$
35.8
Rec.
+
option
values
$
14.6
Rec.
value
only
$
21.2
0
$
91.5
existence
+

bequest
values
$
39.3
$
52.2
$
­
$
­

18
10
Walsh
et
al.
1976
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
­
$
250.7
19
11
Cronin
1973
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
83.1
20
12
Desvousge
s
et
al.
1981
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
­
$
89.7
21
13
Whitehead
&
Groothuis
1991
$
33.0
combined
user
&

nonuser
groups
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
46.2
$
18.5
22
14
Opaluch
et
al.
1995
$
0.06
combined
user
&

nonuser
groups
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
0.1
$
0.003
23
14
Opaluch
et
al.
1995
$
0.06
combined
user
&

nonuser
groups
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
0.1
$
0.015
24
15
Kaoru
1989
$
­
0
$
77.0
0
$
48.9
use
of
ponds
for
shellfishing
$
28.2
0
$
112.6
0
$
112.6
$
­
$
­
$
­

25
16
Welle
1985
$
­
0
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
­
$
20.1
26
17
Rowe
et
al.
1985
$
117.0
0
$
­
0
$
47.9
verify
w/

Elena,
used
unit
estimate
from
rec.

analysis
$
­
0
$
69.2
apparently
option
value
$
­
$
­
$
­
$
­

27
17
Rowe
et
al.
1985
$
19.4
0
$
6.5
0
$
­
0
$
­
0
$
12.5
0
$
6.5
$
6.0
$
­
$
­

March
12th,
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23
24
25
26
27
28
29
30
31
32
S
T
U
V
W
X
Y
Z
AA
AB
AC
AD
AE
AF
AG
AH
AI
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
Rec.
+

option
values
$
179.2
0
$
­
$
71.5
0
$
211.4
A
existence
+

bequest
$
107.1
$
104.4
$
132.6
existence
+

bequest
$
79.0
$
53.7
$
­
0
0
$
23.7
assumed
rec
value,
FISHER
VALUE
DEFLATED
TO
1973$
$
­
$
­
0
$
59.4
I
IMPUTED
NON­
USE
VALUE
FISHER
VALUE
DEFLATED
TO
1973$
$
­
$
­
$
59.4
FISHER
VALUE
DEFLATED
TO
1973$
$
­
$
­
$
­
0
rec.
+
option
value
$
39.0
p.
4­
37
$
­
$
50.6
0
$
130.6
A
0
$
130.6
$
­
$
83.3
0
$
83.3
$
­
$
28.1
current
non­
user
option
value
imputed
nonuse
value
subtracted
from
use
value
reported
in
study
$
­
0
$
­
$
­
0
$
27.7
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
27.7
0
$
­
$
­
$
­
0
imputed
nonuse
value
subtracted
from
use
value
reported
in
study
$
­
0
$
­
$
­
0
$
0.1
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
0.054
0
$
­
$
­
$
­
0
imputed
nonuse
value
subtracted
from
use
value
reported
in
study
$
­
0
$
­
$
­
0
$
0.1
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
0.053
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
rec
value
+

deman
side
option
value
$
­
0
$
­
$
­
0
$
199.0
A
0
$
199.0
$
­
$
113.7
0
$
113.7
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
0
$
­
0
$
­
$
­
0
$
­
0
$
­
$
­
$
­
0
$
­
$
­
$
­
0
March
12th,
2003
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18
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23
24
25
26
27
28
29
30
31
32
AJ
AK
AL
AM
AN
$
­
0
1
2.56
$
­
0
0
0.53
$
­
0
0
2.50
$
­
0
0
1.24
$
­
0
0
1.50
$
­
0
0
16.79
$
­
0
0
3.48
$
210.37
total
N
1
1.46
$
­
0
0
5.67
$
­
0
1
1.44
$
­
0
1
1.91
March
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34
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
28
18
Mitchell
&

Carson
1980
$
423.6
User
and
Nonuser
group
combined
mean
WTP
$
­
0
$
­
0
$
­
0
$
­
0
$
­
$
­
$
517.4
$
275.1
29
19
Clonts
&

Malone
1987
$
90.3
0
$
­
0
$
12.7
0
$
15.0
0
$
­
0
$
35.6
$
26.9
$
110.9
$
30.9
March
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34
S
T
U
V
W
X
Y
Z
AA
AB
AC
AD
AE
AF
AG
AH
AI
imputed
nonuse
value
subtracted
from
use
value
reported
in
study
$
­
0
$
­
$
­
0
$
242.3
I
IMPUTED
NON­
USE
VALUE
$
­
$
­
$
242.3
0
$
­
$
­
$
­
0
0
$
11.9
0
$
­
$
19.0
0
$
82.3
A
0
$
45.9
$
36.4
$
43.5
0
$
25.3
$
18.2
$
11.9
0
March
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AJ
AK
AL
AM
AN
$
­
0
0
0.88
$
­
0
0
1.79
March
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7
8
9
10
11
12
13
14
A
B
C
D
E
F
G
H
I
J
K
L
M
N
Meta­
Data
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Study
and
Estimate
Idenification
Publication
Information
Estimate
ID
Study
ID
Study
Estimate
#
Benlit
ID
Estimate
Alpha
ID
Primary
Author
Authors
Publication
Publication
Year
Survey/
Data
Year
Survey
Type
Geographic
Area
or
State
State
Survey
Region
1
1
1
1070
A
Huang
Huang
et
al.
JEEM
1997
1995
combined
revealed
&

stated
preference
NC
NC
1
2
1
2
1070
B
Huang
Huang
et
al.
JEEM
1997
1995
combined
revealed
&

stated
preference
NC
1
3
2
1
1160
C
Whitehead
Whitehead
et
al.
JEEM
1995
1990
CV
100
Counties
in
NC;
16
counties/

cities
in
VA
NC
1
4
3
1
1251
D
Sanders
Sanders
et
al.
WRR
1990
1983
CV
CO
CO
4
5
3
2
1251
E
Sanders
Sanders
et
al.
WRR
1990
1983
CV
CO
4
6
3
3
1251
F
Sanders
Sanders
et
al.
WRR
1990
1983
CV
CO
4
7
3
4
1251
G
Sanders
Sanders
et
al.
WRR
1990
1983
CV
CO
4
8
4
1
1202
H
Magat
Magat
et
al.
JRU
2000
1997
Iterative
referendum
Research
Triangle
Park,

Charlotte,
and
Cary
NC,
&

Denver
&
CO
Springs
CO/
NC
5
March
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7
8
9
10
11
12
13
14
O
P
Q
R
S
T
U
V
W
X
15
16
17
18
19
20
21
22
23
24
Survey/
Sample
Characteristics
Admin
Method
(
i.
e.
mail,
phone
etc.)
ADMIN
METHOD
Sample/
Population
Desc.
Sample
Population
For
Table
Sample
Size
for
Table
Sample
Size
Description
Response
Rate
Response
Rate
for
Table
Response
Rate
Not
Applicable/
A
vailable
Users
telephone
2
1077
Eastern
NC
households
eastern
NC
households
511
seems
to
be
regression
sample
75%
75%

2
eastern
NC
households
511
75%
75%

telephone
2
Says
1133
in
study,
but
groups
add
up
to
1033,
as
in
study
1151,
which
seems
to
use
the
same
data;
2
groups:
on­
site
and
off­
site
users
100
counties
in
NC,

16
counties
in
VA
1033
total
of
3
user
groups
samples
used
in
3
regressions
(
off­
site
and
on­
site
users,
and
non­
users)
71%
71%
$
40,325
mail
(
10%
of
nonrespondents
contacted
by
phone)
1
214;
sample
of
CO
residents
designed
to
be
rep.
of
state
CO
residents;
representative
of
state
214
214
is
WTP
sample,
but
163
responses
were
used
in
regression
analyses.
FOOTNOTE
51%
51%

1
CO
residents;
representative
of
state
214
51%
51%

1
CO
residents;
representative
of
state
214
51%
51%

1
CO
residents;
representative
of
state
214
51%
51%

Personal
interviews
(
central
&
intercept)
3
410
(
409?),
348
used
(
100
in
Denver,
101
in
CO
Springs,
49
in
Cary
NC,
53
in
Charlotte
NC,
106
in
RTP
NC)
various
populations
in
CO
and
NC
348
regression
sample,
and
seems
to
be
nonuse
sample,
nonuse
samples
173
and
121
may
be
subsets
(
p.
37)
na
1
March
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6
7
8
9
10
11
12
13
14
Y
Z
AA
AB
AC
AD
AE
25
26
27
28
29
30
31
Income
Non­
users
Entire
Sample
(
or
other)
Income
Imputed
Income
Notes
Amenity
Description
Amenity
Description
for
Specific
Nonuse­
Use
Estimate
(
for
Table)
Scale
$
31,766
Total
sample
(
511)
restoration
of
quality
of
Pamlico
and
Albemarle
Sounds
to
1981
level
in
terms
of
increase
of
fish
catches
and
shellfish
beds
program
to
restore
quality
of
Pamlico
and
Albemarle
Sounds
to
1981
level
in
terms
of
increased
of
fish
catches
and
shellfish
beds
1
$
31,766
Total
sample
(
511)
program
to
restore
quality
of
Pamlico
and
Albemarle
Sounds
to
1981
level
in
terms
of
increased
of
fish
catches
and
shellfish
beds
1
$
31,659
$
35,992
WTP
to
make
sure
water
pollution
does
not
get
worse
and
wildlife
habitat
remains
the
same.
Water
quality
and
fish
&

wildlife
habitat
in
the
Albemarle­
Pamlico
estuary
system;

benefits
of
estuaries
(
incl.
recreational
use
&
nonuse)

described
to
respondents.
avoid
degradation
in
water
quality
and
fish
and
wildlife
habitat
in
the
Albemarle­

Pamlico
estuary
system,
NC
1
$
24,733.20
1
1984
median
income
for
CO,
deflated
to
1983
using
CPI
protection
of
a
specific
#
of
CO
rivers
(
incremental
WTP)
in,

described
as
"
wild"
and
"
scenic"
rivers
with
an
array
of
possible
benefits,
which
respondents
are
asked
to
indicate
program
to
protect
3
of
11
most
valuable
wild
and
scenic
CO
rivers
2
$
24,733.20
1
1984
median
income
for
CO,
deflated
to
1983
using
CPI
program
to
protect
7
of
11
most
valuable
wild
and
scenic
CO
rivers
2
$
24,733.20
1
1984
median
income
for
CO,
deflated
to
1983
using
CPI
program
to
protect
11
wild
and
scenic
CO
rivers
4
$
24,733.20
1
1984
median
income
for
CO,
deflated
to
1983
using
CPI
program
to
protect
11
wild
and
scenic
CO
rivers
plus
an
additional
4
other
rivers
4
$
40,400.00
represents
"
consistent"
sample,

full
sample
mean
is
$
38,700
Water
quality
is
defined
as
"
good"
(
safe
to
swim,
eat
fish,

supports
many
plants,
fish
and
other
aquatic
life)
or
"
not
good"

(
unsafe
to
swim
&
eat
fish,
only
supports
small
#
of
plants
&

aquatic
life).
water
quality
in
lakes
and
rivers
near
hypothetical
location
respondent
(
CO
&
NC)
might
live
base
on
3
dimensions:
aquatic
life
support,
fish
consumption,
&

swimming
15%
increase
in
"
good"
water
quality
in
lakes
and
rivers
in
the
region
where
a
respondent
may
hypothetically
live
3
March
12th,
2003
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6
7
8
9
10
11
12
13
14
AF
AG
AH
AI
AJ
AK
AL
AM
AN
AO
AP
AQ
32
33
34
35
36
37
38
39
40
41
42
43
Resource
Characteristics
Water
Quality
Ladder
Amenity
Change
Envr
Change
Affects
All/
Other
Recreational
Uses
Fishery
(
rec.
comm.

gen.)
Envr.
Change
Introduces/

Avoids
Loss
of
Fishing
as
Use
Envr.
Change
Affects
Game
Fish
Waterbody
Type
Waterbody
Type
Waterbody
Type
Code
Special
Significance
Other
Recreational
Uses
Increase
in
Catch
Rate/

Quantity
Change
Ecological
Services/
Other
Estimated
Values
0
1
general?
0
0
estuary
E
2
1
0
1
0
0
estuary
E
2
1
0
1
general?
0
0
estuary
E
2
0
0
1
recreational
0
0
rivers
R
3
0
0
1
0
0
rivers
R
3
0
0
1
0
0
rivers
R
3
0
0
1
0
0
rivers
R
3
0
9
1
mostly
rec.?
1
0
all
freshwater
(
lakes
&

rivers)
B
5
0
March
12th,
2003
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7
8
9
10
11
12
13
14
AR
AS
AT
AU
AV
AW
AX
AY
AZ
BA
44
45
46
47
48
49
50
51
52
53
Elicitation
Design
Payment
Mechanism
Payment
Mechanism
for
Table
Elicitation
Method
Elicitation
Method
Non­
Use
Method
Non­
Use
Method
Desc.
Non­
Use
Method
Code
User
Nonuse
Value
Use­
Nonuse
Design
Notes
#
of
Use­

Nonuse
Estimates
policy?
1
DC
DB
revealed
&

stated
5
Questions
determined
recreation
participation,
travel
cost
model
combined
with
CV
to
estimate
consumer
surplus
and
TOTAL
use
and
non­
use
values.
2
1
DC
DB
revealed
&

stated
5
same
as
above
2
tax
increase
2
IB
referendum
w/
OE
for
NO
votes
user
/

nonuser
total
values
1
onsite
users
had
engaged
in
fishing,
swimming,
boating,

etc.
within
the
past
year,
off­
site
users
answered
"
a
little,"

"
some,"
or
"
a
lot,"
to
the
question
"
how
much
have
you
heard
or
read
about
the
resources,
uses
and
problems
of
the
A­
P
system?,"
and
who
are
not
on­
site
users.
Non­
users
answered
"
nothing"
to
this
question
and
are
not
on­
site
users.
1
earmarked
trust
fund
3
OE
direct
question
allocation
­

entire
sample
3
All
respondents
asked
to
value
river
protection
incrementally,
and
then
asked
to
allocate
WTP
across
4
categories,
which
are
phrased
to
represent
recreational
uses,
option,
existence,
and
bequest
values.
4
earmarked
trust
fund
3
OE
direct
question
allocation
­

entire
sample
3
same
as
above
4
earmarked
trust
fund
3
OE
direct
question
allocation
­

entire
sample
3
same
as
above
4
earmarked
trust
fund
3
OE
direct
question
allocation
­

entire
sample
3
same
as
above
4
taxes
2
Iterative
bidding
referendum?
assume
nonuse
4
Respondents
value
water
quality
in
regions
other
than
where
they
live
if
the
probability
of
them
visiting
a
site
is
0,

1/
3,
or
1/
10.
­­
Use
value
seems
to
be
derived
from
1/
2
of
total
sample,
which
includes
non­
users
and
users.
1
March
12th,
2003
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7
8
9
10
11
12
13
14
BB
BC
BD
BE
BF
BG
54
55
56
57
58
59
Model
Type/
Specification
Elicitation/
Model
Notes
Amenity
/
WTP
Notes
Estimate
Desc.
Significance
of
WTP
Estimates
Metric
joint
variation
function
Annual
WTP
for
program
to
restore
A­
P
estuaries,
unsure
of
length.
Travel
cost
model
combined
with
CV
to
estimate
consumer
surplus
and
TOTAL
use
and
non­
use
values.
Chose
only
single
bounded
model
non­
use
estimate
(
see
study).
Need
to
determine
difference
between
2
non­
use
estimates
calculated
by
comparing
with
revealed
data,
no
nonuse
WTP
estimates
given.
annual
WTP
for
program,

unsure
of
length
same
as
above
annual
WTP
for
program,

unsure
of
length
Tobit
Annual
WTP
for
program
to
protect
A­
P
system
in
terms
of
water
quality
and
fish
&
wildlife
habitat;
benefits
of
estuaries
(
incl.
recreational
use
&
nonuse).
Mean
WTP
of
off­
site
users
are
currently
not
considered
(
see
use­
nonuse
design).
annual
WTP
for
program
to
protect
A­
P
system
separate
model
for
each
user
group,
but
likelihood
ratior
tests
for
equivalence
of
vectors
of
coefficients
sare
significantly
different
from
each
other
at
p
=
0.01
level.

OLS
Protection
of
a
specific
#
of
CO
rivers
(
incremental
WTP),
described
as
"
wild"
and
"
scenic"

with
an
array
of
possible
benefits.
Annual
household
WTP
for
program;
7
(
of
11)
most
valuable
rivers.
All
WTP
estimates
are
from
one
sample
where
each
respondent
was
asked
to
allocate
total
among
4
groups.
annual
household
WTP
for
program;
3
(
of
11)
most
valuable
rivers
AHH
Protection
of
a
specific
#
of
CO
rivers
(
incremental
WTP),
described
as
"
wild"
and
"
scenic"

with
an
array
of
possible
benefits,
which
respondents
are
asked
to
indicate.
Annual
household
WTP
for
program;
3
(
of
11)
most
valuable
rivers.
All
WTP
estimates
are
from
one
sample
where
each
respondent
was
asked
to
allocate
total
among
4
groups.
annual
household
WTP
for
program;
7
(
of
11)
most
valuable
rivers
AHH
Protection
of
a
specific
#
of
CO
rivers
(
incremental
WTP),
described
as
"
wild"
and
"
scenic"

with
an
array
of
possible
benefits,
which
respondents
are
asked
to
indicate.
Annual
household
WTP
for
program;
11
study
rivers.
All
WTP
estimates
are
from
one
sample
where
each
respondent
was
asked
to
allocate
total
among
4
groups.
annual
household
WTP
for
program;
11
study
rivers
AHH
Protection
of
a
specific
#
of
CO
rivers
(
incremental
WTP),
described
as
"
wild"
and
"
scenic"

with
an
array
of
possible
benefits,
which
respondents
are
asked
to
indicate.
Annual
household
WTP
for
program;
11
study
rivers.
All
WTP
estimates
are
from
one
sample
where
each
respondent
was
asked
to
allocate
total
among
4
groups.
annual
household
WTP
for
program;
11
study
rivers
+
4
additional
most
common
"
other"
rivers
to
protect
AHH
OLS,
tobit,

corrected,
etc.

(
see
study)
Water
quality
in
lakes
and
rivers
near
hypothetical
location
respondent
(
CO
&
NC)
might
live
base
on
3
dimensions:
aquatic
life
support,
fish
consumption,
&
swimming.
WTP
is
for
1%

increase
in
water
quality
derived
from
iterative
referendum.
Low
R2
(
0.13
fo
OLS
model);
may
exclude
Research
Triangle
Park
sample
due
to
nonrepresentativeness
(
income,
education,

etc.)
and
low
mean
WTP;
see
other
nonuse
caveat,
p.
37
1%
increase
in
water
quality
derived
from
iterative
referendum
March
12th,
2003
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7
8
9
10
11
12
13
14
BH
BI
BJ
BK
BL
BM
BN
BO
BP
BQ
BR
BS
BT
BU
BV
BW
25
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
Willingness
To
Pay
(
means
Entire
Sample:
Users
+
Non­
Users
Usable
Estimate
Total
Sample
WTP
Total
Sample
WTP
Desc.
Total
Use
Value
(
use
+
option)
Total
Use
Value
Desc.
Recreational
Use
Value
(
direct)
Recreational
Use
Value
Desc.
(
direct)
Option
Value
Option
Value
Desc.
Total
Non­
Use
Value
Total
Non­

Use
Value
Desc.
Existence
Value
Bequest
Value
Imputed
Non­
use
Value
Total
User
Value
(
use
+

non­
use
value)
Total
Use
Value
(
direct)

1
$
134.06
$
50.00
1
$
82.81
$
101.25
1
X
$
71.13
$
21.67
1
$
13.82
$
7.54
$
6.28
$
25.97
$
11.31
$
14.66
1
$
25.81
$
14.08
$
11.73
$
48.50
$
21.12
$
27.38
1
$
33.00
$
18.00
$
15.00
$
62.00
$
27.00
$
35.00
1
$
35.13
$
19.16
$
15.97
$
63.86
$
27.67
$
36.19
1
$
20.50
rec.
value
$
10.25
March
12th,
2003
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7
8
9
10
11
12
13
14
BX
BY
BZ
CA
CB
CC
CD
CE
CF
CG
CH
CI
CJ
CK
76
77
78
79
80
81
82
83
84
85
86
87
88
89
unless
otherwise
noted)
User
Values
Total
Use
Value
Desc.
Recreational
Use
Value
(
direct)
Recreational
Use
Value
Desc.

(
direct)
Indirect
Use
Value
(
off­
site
use)
Indirect
Use
Value
Option
Value
Option
Value
Desc.
Total
Non­
Use
Value
Total
Non­
Use
Value
Desc.
Existence
Value
Bequest
Value
Total
Value
(
use
+
nonuse
Total
Non­

Use
Value
Non­
Use
Value
Desc.

$
55.76
off­
site
users,
not
currently
using
$
49.46
IMPUTED
NONUSE
VALUE
$
49.46
March
12th,
2003
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7
8
9
10
11
12
13
14
CL
CM
CN
CO
CP
CQ
CR
CS
CT
CU
CV
CW
90
91
92
93
94
95
96
97
98
99
100
101
Non­
User
Values
Sample
Sizes
for
WTP
Estimation
Unless
Otherwise
Stated
Existence
Value
Bequest
Value
Option
Value
Option
Value
Desc.
Use
Value
Use
Value
Desc.
Other
Group
Value
Other
Desc.
Use
N
Non­
Use
N
Other
Group
N
Other
Group
N
Desc.

262
192
454
off­
site
users
163
163
163
163
163
163
163
or
214?
163
or
214?

348
348
March
12th,
2003
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16
17
18
19
20
21
22
23
A
B
C
D
E
F
G
H
I
J
K
L
M
N
9
5
1
1085
I
Lant
Lant
&
Roberts
EP
1990
1987
CV
14
towns
in
IA
and
IL
IA/
IL
2
10
5
2
1085
J
Lant
Lant
&
Roberts
EP
1990
1987
CV
IA/
IL
2
11
5
3
1085
K
Lant
Lant
&
Roberts
EP
1990
1987
CV
IA/
IL
2
12
6
1
1128
L
Roberts
Roberts
&

Leitch
NDSU
DAE
1997
1996
CV
Minnesota­
South
Dakota
border
MN/
SD
2
13
7
1
1168
M
Croke
Croke
et
al.
JES
1986
1986
CV
Cook
County,
IL
(
includes
Chicago
and
surrounding
suburbs)
IL
2
14
7
2
1168
N
Croke
Croke
et
al.
JES
1986
1986
CV
IL
2
15
7
3
1168
O
Croke
Croke
et
al.
JES
1986
1986
CV
IL
2
16
8
1
1114
P
Olsen
Olsen
et
al.
RV
1991
1989
CV
Pacific
Northwest
Households
(
Washington,

Oregon,
Idaho,

W.
Montana)
Pacific
NW
(
ID,

MT,
OR,
WA)
4
17
9
1
1252
Q
Sutherland
Sutherland
&

Walsh
LE
1985
1981
CV
Flathead
River
and
Lake
area,

MT
MT
4
March
12th,
2003
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16
17
18
19
20
21
22
23
O
P
Q
R
S
T
U
V
W
X
Personal
interviews
3
200
interviews
completed,

drawn
from
telephone
directories
residents
in
14
towns
in
IA
and
IL,
drawn
from
telephone
listings
195
regression
sample
41%
41%

3
residents
in
14
towns
in
IA
and
IL,
drawn
from
telephone
listings
195
regression
sample
41%
41%

3
residents
in
14
towns
in
IA
and
IL,
drawn
from
telephone
listings
195
regression
sample
41%
41%

mail
1
Random
sample
of
1034
households
within
30­
mile
radius
of
Lake,
resulting
in
575
respondents
random
sample
of
housholds
within
30
mile
radius
of
Mud
Lake
575
non­
parametric
sample
FOOTNOTE
62%
62%
NA
phone
2
350
households
households
in
Chicago
and
suburbs
296
user
+
nonuser
non­
parametric
sample
­
different
sample
sizes
for
different
quality
improvements
FOOTNOTE
85%
85%
1
2
households
in
Chicago
and
suburbs
279
user
+
nonuser
non­
parametric
sample
­
different
sample
sizes
for
different
quality
improvements
FOOTNOTE
85%
85%
1
2
households
in
Chicago
and
suburbs
280
user
+
nonuser
non­
parametric
sample
­
different
sample
sizes
for
different
quality
improvements
FOOTNOTE
85%
85%
1
phone
2
2907
(
695
usable
nonuse,

700
use),
sampled
from
Pacific
Northwest
residents
with
phones
Pacific
Northwest
residents
with
phones
1177
Non
­
parametric
FOOTNOTE;
695
usable
nonuser
questionnaires
and
482
usable
user
questionnaires
73%
73%
NA
mail
1
171
usable
of
280
sent
surveys;
drawn
from
phone
directories
of
4
major
cities
adjacent
to
rural
areas
in
the
state.
sample
drawn
from
phone
directories
of
four
major
cities
adjacent
to
rural
areas
in
MT
171
regression
sample
61%
61%

March
12th,
2003
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Meta­
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15
16
17
18
19
20
21
22
23
Y
Z
AA
AB
AC
AD
AE
$
24,637.00
1
average
of
IL
and
IA
1987
median
income
(
census)
Local
river
quality
on
a
scale
defined
by
'
poor,'
'
fair,'
'
good,'
or
'
excellent,'
represented
by
photographs.
The
levels
of
quality
framed
by
the
recreational
uses
they
support.
improvement
in
local
river
water
quality
from
poor
to
fair
in
selected
river
basins
in
IA
&
IL
3
$
24,637.00
1
average
of
IL
and
IA
1987
median
income
(
census)
improvement
in
local
river
water
quality
from
fair
to
good
in
selected
river
basins
in
IA
&
IL
3
$
24,637.00
1
average
of
IL
and
IA
1987
median
income
(
census)
improvement
in
local
river
water
quality
from
good
to
excellent
in
selected
river
basins
in
IA
&
IL
3
NA
$
26,509.77
1
average
of
1989
county
median
income
for
counties
assumed
to
be
surveyed,
inflated
10
1996
w/
CPI
Various
economic
outputs
(
recreation,
aesthtics,
fish/
wildlife
habitat
etc.)
of
Mud
Lake,
a
lacustrine
wetland
with
recreational,
aesthetic,
and
other
uses.
"
If
Mud
Lake
was
managed
primarily
for
water­
related
recreation
and
fish/
wildlife
habitat,
what
would
you
be
willing
to
pay
through
an
annual
use
permit
to
participate
in
recreational
activities
at
Mud
Lake?"
Additional
questions
for
existence
&
option
values.
water­
related
recreation
and
fish
and
wildlife
habitat
at
Mud
Lake,
MN­
SD
1
$
28,878.72
1
1989
Cook
Co.
IL
median
income
deflated
to
1986
w/
CPI
(
census)
Improvement
in
water
quality,
defined
by
3
levels
allowing
outings,
outings
&
boating,
and
outings,
boating
&
fishing,

respectively.
water
quality
improvement
from
unusable
to
a
level
suitable
for
outings
in
urban
Chicago
rivers
3
$
28,878.72
1
1989
Cook
Co.
IL
median
income
deflated
to
1986
w/
CPI
(
census)
water
quality
improvement
from
unusable
to
a
level
suitable
for
outings
&
boating
in
urban
Chicago
rivers
3
$
28,878.72
1
1989
Cook
Co.
IL
median
income
deflated
to
1986
w/
CPI
(
census)
water
quality
improvement
from
unusable
to
a
level
suitable
for
outings,
boating,
&

fishing
in
urban
Chicago
rivers
3
NA
$
27,209.00
1
Average
of
1989
state
median
income
of
ID,

MT,
OR,
&
WA
Doubling
the
Columbia
River
Basin
salmon
and
steelhead
runs
(
framed
for
users
as
more
fish
available
for
ocean
and
river
basin
sport
catch,
with
assurances
of
ecological
stability
and
diversity).
doubling
the
Columbia
River
Basin
salmon
&
steelhead
runs
with
the
assurance
of
ecological
stability
and
diversity
1
$
20,164.21
1
Average
of
1979
median
income
for
4
MT
counties
where
survey
was
thought
to
be
administered.

Inflated
to
1981
w/
CPI.
Protection
of
water
quality
in
Flathead
Lake
and
River,
MT.

Avoid
potential
degradation.
protection
of
water
quality
in
Flathead
Lake
and
River,
MT,
to
avoid
potential
degradation
1
March
12th,
2003
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15
16
17
18
19
20
21
22
23
AF
AG
AH
AI
AJ
AK
AL
AM
AN
AO
AP
AQ
3
0
1
0
rivers
R
3
no
0
4
0
1
1
rivers
R
3
0
5
1
0
0
rivers
R
3
0
0
1
rec.
0
0
wetland
W
4
0
flood
control,
water
supply,
drinking
water
quality
1
1
0
0
urban
rivers
R
3
0
2
1
0
0
urban
rivers
R
3
0
3
0
1
0
urban
rivers
R
3
0
0
0
0
0
river
R
3
1
regional
sport
values
for
increasing
marginal
catch
in
various
waterbodies
0
1
0
0
river
&
lake
B
1
0
March
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2003
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15
16
17
18
19
20
21
22
23
AR
AS
AT
AU
AV
AW
AX
AY
AZ
BA
state
sales
tax
4
Payment
card?
value
categories
­

entire
sample
2
All
respondents
asked
valuation
questions
to
elicit
both
recreation
and
intrinsic
values
for
water
quality
changes.
3
state
sales
tax
4
Payment
card?
value
categories
­

entire
sample
2
same
as
above
3
state
sales
tax
4
Payment
card?
value
categories
­

entire
sample
2
same
as
above
3
Use
permit
for
use
value,
voluntary
donation
fro
option/
bequest
values
and
existence
values
4
Payment
card?
value
categories
­

entire
sample
2
Three
separate
questions
asked
for
a
choice
of
$
0
WTP
or
5
other
categorise
for
each
of
the
value
components:
use,

option/
bequest,
existence.
1
2
Iterative
Bidding
user
/

nonuser
total
values
1
Respondents
were
questioned
on
their
frequency
of
river
use
and
the
types
of
activities
engaged
in,
and
separated
into
user
&
non­
user
groups
accordingly.
3
2
Iterative
Bidding
user
/

nonuser
total
values
1
same
as
above
3
2
Iterative
Bidding
user
/

nonuser
total
values
1
same
as
above
3
Increased
cost
of
monthly
power
bill
(
contribution
to
state
fishery
agency
for
payment
vehicle
protests
or
those
concerned
about
involvement
of
power
industry)
3
OE
(
modified)
user
/

nonuser
total
values
1
Resource
nonuseres
defined
as
"
individuals
who
have
not
been
involved
in
the
commercial
fishing
industry
and
who
have
not
participated
in
the
sport
fishery
during
the
past
2
years."
Those
who
answered
"
no"
or
"
uncertain"
to
the
relevant
question
were
considered
to
have
a
zero
probability
of
furture
use.
Individuals
who
stated
they
did
not
expect
to
fish
for
these
species
in
the
next
5
years
according
to
Brown,
1992,
were
considered
to
have
some
probability
of
future
use.
1
Earmarked
fund.
3
OE
allocation
­

entire
sample
3
One
sample
group:
All
responents
first
asked
to
state
max
WTP,
then
to
allocate
across
recreational
use,
option,

existence,
and
bequest
demands.
1
March
12th,
2003
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15
16
17
18
19
20
21
22
23
BB
BC
BD
BE
BF
BG
WTP
for
change
in
quality
from
poor
to
fair.
Local
river
quality
on
a
scale
defined
by
'
poor,'

'
fair,'
'
good,'
or
'
excellent,'
represented
by
photographs.
The
levels
of
quality
framed
by
the
recreational
uses
they
support.
Need
to
account
for
scope
differences
in
multiple
estimates.
WTP
for
change
in
quality
from
poor
to
fair
YES
­
not
available,
but
model
adjusted
R
squared
=

.309,
and
F=
0.0001,
with
reasons
for
protecting
resource
associated
with
intrinsic
values
significant,

see
p.
1382.

WTP
for
change
in
quality
fair
to
good.
Local
river
quality
on
a
scale
defined
by
'
poor,'
'
fair,'

'
good,'
or
'
excellent,'
represented
by
photographs.
The
levels
of
quality
framed
by
the
recreational
uses
they
support.
Need
to
account
for
scope
differences
in
multiple
estimates.
WTP
for
change
in
quality
fair
to
good
WTP
for
change
in
quality
from
good
to
excellent.
Local
river
quality
on
a
scale
defined
by
'
poor,'
'
fair,'
'
good,'
or
'
excellent,'
represented
by
photographs.
The
levels
of
quality
framed
by
the
recreational
uses
they
support.
Need
to
account
for
scope
differences
in
multiple
estimates.
WTP
for
change
in
quality
from
good
to
excellent
WTP
for
water­
related
recreation
and
fish/
wildlife
habitat
(
and
other
economic
outputs
incl.

flood
control,
DW
quality)
of
Mud
Lake,
a
lacustrine
wetland.
Estimates
are
from
3
separate
Q's,
and
were
obtained
from
1
group
of
respondents.
Is
option/
bequest
estimate
a
use
or
nonuse
value?
(
currently
included
as
use).
Question:
"
What
is
the
maximum
amount
you
would
be
willing
to
pay
through
an
annual
voluntary
donation
to
ensure
that
recreational
activities
and
fish/
wildlife
habitat
at
Mud
lake
are
available
in
the
future
to
you
or
your
descendants?"
WTP
for
water­
related
recreation
and
fish/
wildlife
habitat
WTP
for
improved
water
quality
to
allow
outings.
User
WTP
includes
nonuse
(
intrinsic)
values,

as
groups
were
separated
by
frequency
of
use
questioning.
WTP
for
improved
water
quality
to
allow
outings.
NA,
but
" 
users
and
nonusers
constitute
distinct
populations
who
react
differently
to
the
expanding
opportunity
set
in
the
contingent
market.""
p.
21
WTP
for
improved
water
quality
to
allow
outings
&
boating.
User
WTP
includes
nonuse
(
intrinsic)
values,
as
groups
were
separated
by
frequency
of
use
questioning.
WTP
for
improved
water
quality
to
allow
outings
&

boating.

WTP
for
improved
water
quality
to
allow
outings,
boating,
&
fishing.
User
WTP
includes
nonuse
(
intrinsic)
values,
as
groups
were
separated
by
frequency
of
use
questioning.
WTP
for
improved
water
quality
to
allow
outings,

boating,
&
fishing.

Doubling
the
Columbia
River
Basin
salmon
and
steelhead
runs
(
framed
for
users
as
more
fish
available
for
ocean
and
river
basin
sport
catch,
with
assurances
of
ecological
stability
and
diversity).
All
estimates
are
assumed
to
be
"
total
value"
estimates
by
author.
We
could
use
a
non­
use/
use
ratio
for
users
as
Brown
did
($
26.52/$
47.64).
Brown
only
included
WTP
of
nonusers's
with
some
probability
of
future
use
in
footnote.
Annual
WTP
for
doubling
size
of
fish
run
NA
Protection
of
water
quality
in
Flathead
Lake
and
River,
MT.
Annual
WTP
for
protection
of
water
quality
March
12th,
2003
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15
16
17
18
19
20
21
22
23
BH
BI
BJ
BK
BL
BM
BN
BO
BP
BQ
BR
BS
BT
BU
BV
BW
1
$
36.18
$
43.29
1
$
48.65
$
55.82
1
$
49.47
$
53.86
1
$
4.51
option
+

rec.
$
2.08
all
respondents
mean
$
2.43
all
responde
nts
mean,

includes
bequest
value
$
1.82
$
1.82
1
X
$
43.21
$
10.73
1
X
$
43.88
$
6.77
1
X
$
49.63
$
3.87
1
X
$
74.16
$
47.64
1
$
18.08
Rec.
+

option
values
$
7.37
Rec.
value
only
$
10.71
$
46.25
existence
+

bequest
values
$
19.88
$
26.37
March
12th,
2003
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15
16
17
18
19
20
21
22
23
BX
BY
BZ
CA
CB
CC
CD
CE
CF
CG
CH
CI
CJ
CK
IMPUTED
NON­
USE
VALUE
$
32.48
IMPUTED
NONUSE
VALUE
$
32.48
IMPUTED
NON­
USE
VALUE
$
37.11
IMPUTED
NONUSE
VALUE
$
37.11
IMPUTED
NON­
USE
VALUE
$
45.76
IMPUTED
NONUSE
VALUE
$
45.76
use
value
portion
of
total
value
(
Brown
assumption
of
subtracting
non­
use
value
from
total,

74.16)
$
47.64
$
26.52
Assumes
users
to
have
same
non­
use
value
as
non­
users
(
Brown)
$
26.52
Total
value
for
nonusers
with
no
probability
of
future
use
March
12th,
2003
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39
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15
16
17
18
19
20
21
22
23
CL
CM
CN
CO
CP
CQ
CR
CS
CT
CU
CV
CW
28
268
27
252
27
253
$
58.56
Nonusers
with
some
probabili
ty
of
future
use
171
171
March
12th,
2003
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24
25
26
27
28
29
30
A
B
C
D
E
F
G
H
I
J
K
L
M
N
18
10
1
1242
R
Walsh
Walsh
et
al.
EPA
1978
1976
CV
South
Platte
River
Basin,
CO
CO
4
19
11
1
1288
(
1194)
S
Cronin
Cronin
PNL
1982
1973
CV
Washington
D.
C.,
along
Potomac
River
DC
1
20
12
1
1289
(
1194)
T
Desvousges
Desvousges
et
al.
AAM
1983
1981
CV
5
counties
in
PA
PA
1
21
13
1
1295
U
Whitehead
Whitehead
&

Groothuis
RV
1992
1991
CV
Eastern
N.

Carolina
NC
1
22
14
1
1314
V
Opaluch
Opaluch
et
al.
URID
1999
1995
CJ
East
End
of
Long
Island,
NY
NY
1
23
14
2
1314
W
Opaluch
Opaluch
et
al.
URID
1999
1995
CJ
NY
1
24
15
1
1262
X
Kaoru
Kaoru
EREC
1993
1989
CV
Martha's
Vineyard
MA
1
March
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25
26
27
28
29
30
O
P
Q
R
S
T
U
V
W
X
personal
interviews
(
household)
3
202
random
resident
households
in
Denver
&

Fort
Collins,
CO.
random
sample
of
households
in
Denver
and
Fort
Collins,
CO
174
­
205
FOOTNOTE,
doesn't
seem
to
be
parametric;
sample
size
varies
for
estimates
of
different
value
types
174
for
recreation
use,
177
for
option
value,
and
203
for
existence
value,
and
205
for
bequest
value
na
1
personal
interview
3
1579
of
1844
attempted
interviews
were
completed;

drawn
from
Council
of
Gov's
Metopolitan
Parcel
File
of
residential
properties,
intended
to
be
representative
of
pop.
representative
sample
of
Washington
D.
C.

residences
1432
p.
6.9
82%
82%

personal
interview
in
respondents
homes
3
301
households
housholds
in
five
counties
in
PA
205­
280
FOOTNOTE,
existence
­
205,

option
­
211,
rec
­
280
81%
81%
$
20,833.00
mail
1
109
responses
of
179
sample
(
97
usable
WTP
responses);
households
in
counties
in
the
Tar­
Pamlico
River
basin.
Eastern
NC
households
the
Tar­

Pamlico
River
basin
91
full
regression
sample
(
26
users
and
65
nonusers)
61%
61%

personal
interview
3
967
individuals
in
the
east
end
of
Long
Island,
NY
968
total
completed
surveys
na
1
3
individuals
in
the
east
end
of
Long
Island,
NY
968
total
completed
surveys
na
1
mail
1
559
property
owners,

randomly
selected
from
property
tax
assessor's
books,
274
returned.
random
sample
of
Martha's
Vineyard
property
owners
145
regression
sample
49%
49%

March
12th,
2003
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42
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Benefits
Meta­
Analysis
Literature
Review
24
25
26
27
28
29
30
Y
Z
AA
AB
AC
AD
AE
$
13,898.00
Average
of
average
income
for
Ft.
Collins
and
Denver
area
($
14958;
$
12838;

same
N
for
both
groups).
Study
stated
"
a
comparison
of
sample
and
population
demographic
characteristics
showed
little
sample
bias."
WTP
to
postpone
mining
that
would
degrade
water
quality
throughout
the
South
Platte
Basin
(
CO)
enough
to
permanently
preclude
riparian
recreation
(
3
photos
used);

payments
said
to
be
used
for
water
quality
improvments
to
enhance
recreational
enjoyment.
Amenity
change
is
because
damages
would
be
irreversible,
and
preservation
level
has
no
heavy
metals
present/
contamination.
postpone
mining
to
avoid
degradation
in
water
quality
throughout
the
South
Platte
River
Basin,
CO,
to
avoid
permanent
preclusion
of
riparian
recreation
(
to
a
level
absent
of
heavy
metals
/
contamination)
3
$
14,042.26
1
DC
MSA
income
in
1969,
inflated
to
1973
w/
CPI
(
study
stated
that
sample
stratified
to
represent
MSA's
income)
Change
from
useable
for
recreation
to
boating.
Incremental
WTP
for
water
quality
of
the
Potomac
River.
Five
levels
of
water
quality
are
based
on
low­
flow,
high­
temperature
conditions,
differing
in
5
physical
and
biochemical
characteristics
(
levels
of
DO,
fecal
coliform,
nitrogen,

phosphorous,
and
turbidity).
prevent
the
degradation
of
water
quality
in
the
Potomac
River
from
boatable
to
unusable
for
recreation
1
$
18,867.00
$
19,536.00
MEAN
INCOME
User
&
non­
user
incomes
not
statistically
different
from
each
other.
From
table
4­
3,

what
year
dollars?
Various
water
quality
levels
on
the
Monongahela
River,
using
RFF
water
quality
ladder:
1)
avoid
decrease
in
quality
from
boatable
to
not
suitable
for
recreation,
2)
improve
quality
from
boatable
to
where
game
fish
could
survive,
3)
improve
quality
from
fishable
to
swimmable.
4
elicitation
methods
used,
valuing
all
3
levels
each.
WTP
value
obtained
to
avoid
decrease,
and
then
incremental
values
for
2
levels
of
improvement
(
p.
5­
25)
prevent
the
degradation
of
water
quality
in
the
Monongahela
River
from
boatable
to
unusable
for
recreation
1
$
34,950
Water
quality
improvement
in
the
Tar­
Pamlico
River
due
to
implementation
of
Best
Management
Practices
by
farmers
to
reduce
non­
point
source
pollution
(
financed
through
state
fund).
Result
would
be
doubled
catch
rate
for
anglers
and
general
improvements
in
fishing,
swimming,
boating,
and
drinking.
water
quality
improvement
in
the
Tar­

Pamlico
River
due
to
program
to
reduce
non­
point
source
pollution,
resulting
in
double
catch
rate
for
anglers
&
general
improvements
in
fishing,
swimming,

boating,
and
drinking
1
$
56,641
1
3
scenarios
for
both
Eelgrass
habitat
and
wetlands
habitat
in
the
Peconic
estuary
area:
baseline
("
no
new
action")
level
of
degradation
by
2020,
program
to
restore,
and
program
to
preserve
the
resource,
in
terms
of
acreage.
wetlands
protection
in
the
Peconic
estuary
system,
NY
1
$
56,641
1
eelgrass
protection
in
the
Peconic
estuary
system,
NY
1
$
94,908
after
tax
income;

mean
value
for
145
responses
used
for
WTP
functions
Poor
to
fair.
Water
quality
improvement
in
3
coastal
ponds
to
allow
them
to
be
open
for
shellfishing
year
round
(
some
were
closed
at
time
of
survey).
improvement
in
water
quality
of
3
coastal
ponds
on
Martha's
Vineyard,
MA
to
allow
them
to
be
open
year­
round
for
shellfishing
(
poor
to
fair)
2
March
12th,
2003
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24
25
26
27
28
29
30
AF
AG
AH
AI
AJ
AK
AL
AM
AN
AO
AP
AQ
7
1
0
0
river
basin
R
3
0
2
1
rec
0
0
river
R
3
swimming,

boating
0
Type
&
extent
of
fish
species,

presence
&
extent
of
odor,
river
appearance,
&

ecological
outputs.

6
1
0
0
river
R
3
0
0
1
rec.
0
0
river
R
3
 
boating,
swimming
1
0
1
rec.

(
indirect
&

direct?)
0
0
estuary
E
2
birdwatching
shellfishing
1
farmland,
undeveloped
land,

shell
fishing
areas
0
1
0
0
estuary
E
2
1
4
0
1
0
estuaries
E
2
0
shellfishing
is
main
use
March
12th,
2003
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44
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Notice
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Data
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Use
Benefits
Meta­
Analysis
Literature
Review
24
25
26
27
28
29
30
AR
AS
AT
AU
AV
AW
AX
AY
AZ
BA
general
sales
tax
and
residential
watersewer
fee
2
IB
assume
nonuse
­
value
categories
4
X
separate
user
and
non­
user
populations
1
Two
sample
groups:

one
using
local
taxes,

the
other
is
told
that
"
the
Federal
Government
will
finance
the
cost
of
the
pollution
control"
and
that
their
taxes
will
not
be
affected.
3
OE
user
/

nonuser
total
values
1
A
user
is
a
member
of
a
household
with
any
member
using
the
Potomac,
other
rivers
or
lakes,
seashore,
or
local
pools
for
swimming,
boating,
fishing,
hiking,
camping,
picnicking,

etc.
REGARDLESS
OF
LOCATION.
80%
of
the
respondents
are
users.
This
strict
definition
of
non­
user
(
doesn't
use
any
waterbody
for
recreation)
may
justify
Fisher
&
Raucher's
statement:
"...
nonusers'
option
price
can
be
interpreted
as
intrinsic
benefits..."
1
Combination
of
higher
taxes
and
prices
of
products,
in
general.
4
PC
(
called
"
direct
question"
in
report,
3
other
methods
used,
but
did
not
estimate
existence
value)
assume
nonuse
­
value
categories
4
X
Users
are
those
engaged
in
recreation
along
the
Monongahela
(
1
of
13
sites)
or
who
gave
positive
use
values
(
presented
w/
list
of
activities
and
asked
if
engaged
in
last
year,
p.
4­
10).
Concepts
of
use,
option
and
existence
value
explained
on
a
value
card
(
p.
4­
14,
Q.
B­
2).

Each
respondnet
reported
option
price,
and
apportioned
amount
between
present
and
expected
future
use.
Use
amount
is
expected
CS,
remaining
is
option
value
(
pure?).

There
are
no
income,
age,
race,
sex
differences
between
user­
nonuser
groups
(
p.
4­
22).
1
Voluntary
contribution
to
a
hypothetical
"
Tar­

Pamlico
preservation"

fund.
3
OE
user
/

nonuser
total
values
1
Survey
pop.
split
into
2
groups,
expected
rec.
users
and
expected
non­
users.
Users
reported
that
they
would
fish
th
river
after
an
improvement
that
would
double
catch
rates,

but
their
responses
may
include
use
and
non­
use
value.
1
?
5
contingent
choice
user
/

nonuser
total
values
1
Users
state
that
they
either
fish
or
shellfish,
thus
deriving
indirect
use
values
from
the
fish
habitat
services
of
eelgrass
&
wetlands.
Non­
users
were
those
who
stated
they
do
not
fish
or
shellfish.
2
5
contingent
choice
user
/

nonuser
total
values
1
same
as
above
2
private
contribution
3
OE
allocation
­

entire
sample
3
All
respondents
allocated
total
WTP
among
existence,

option,
and
use
value.
1
March
12th,
2003
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45
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­
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Benefits
Meta­
Analysis
Literature
Review
24
25
26
27
28
29
30
BB
BC
BD
BE
BF
BG
WTP
to
postpone
mining
that
would
degrade
water
quality
throughout
the
South
Platte
Basin
(
CO)
enough
to
permanently
preclude
riparian
recreation
(
3
photos
used);
payments
said
to
be
used
for
water
quality
improvments
to
enhance
recreational
enjoyment.
Authors
believe
user
non­
use
values
(
existence
&
bequest)
should
not
be
added
to
recreation
use
and
option
values
because
of
the
high
probability
of
upward
bias.
All
estimates
based
on
Sales
Tax
payment
vehicle.
Additional
estimates/
ratios
possible
using
Water
Fee
vehicle,
and
estimates
for
Denver
&
Ft.
Colins
sub­
populations.
non­
user
non­
use
value
/
user
use
value
??
YES,
not
really
available?
­

nonuse
WTP
estimates
statistically
different
from
0
Incremental
WTP
to
prevent
water
quality
decline
in
the
Potomac
River.
Five
levels
of
water
quality
are
based
on
low­
flow,
high­
temperature
conditions,
differing
in
5
physical
and
biochemical
characteristics
(
levels
of
DO,
fecal
coliform,
nitrogen,
phosphorous,
and
turbidity).

Values
from
Fisher
&
Raucher
table
5
(
1985),
values
not
directly
reported
in
Cronin
1982.
Not
sure
how
these
values
were
calculated.
All
values
include
Option
Value,
and
thus
may
be
interpreted
as
upper
bounds
of
total
value
for
users
and
non­
users
(
i.
e.
users
option
value
is
expected
to
include
some
intrinsic
value
and
non­
users
option
value
is
expected
to
include
some
expected
use
value).
WTP
to
prevent
loss,
from
Fisher
&
Raucher
table
5
YES
­
several
WTP
values
were
calculated
based
on
different
design
variations,
but
the
joint
null
hyp
that
all
nonuse
estimates
are
the
same
as
all
use
estimates
is
strongly
rejected
for
the
relevant
quality
change
(
p.

6.14)

Various
water
quality
levels
on
the
Monongahela
River,
using
RFF
water
quality
ladder:
1)

avoid
decrease
in
quality
from
boatable
to
not
suitable
for
boating,
2)
improve
quality
from
boatable
to
where
game
fish
could
survive,
3)
improve
quality
from
fishable
to
swimmable.

WTP
value
obtained
to
avoid
decrease,
as
well
as
incremental
values
for
2
levels
of
improvement
(
p.
5­
25).
Option
prices
(
which
should
be
total
of
option
&
user
values),
option
values,
user
values,
were
estimated
for
each
of
3
levels
using
4
different
elicitation
techniques,
but
existence
value
was
only
estimated
with
a
direct
OE
question
for
a
lossavoidance
welfare
change,
resulting
in
one
usable
ratio.
If
we
considered
option
value
a
nonuse
value,
we
could
have
several
more
estimates.
YES
­
users
have
estimated
existence
values
significantly
different
from
non­
users
at
the
5%
level
(
p.
5­
32),
and
the
results
fro
opotion
value
regression
include
user
variable,
which
is
also
significant.

Tobit
Annual
WTP
for
water
quality
improvement
in
the
Tar­
Pamlico
River
due
to
implementation
of
Best
Management
Practices
by
farmers
to
reduce
non­
point
source
pollution
(
financed
through
state
fund).
Result
would
be
doubled
catch
rate
for
anglers
and
general
improvements
in
fishing,
swimming,
boating,
and
drinking.
User
WTP
value
likely
includes
use
and
non­
use
value,
thus
non­
use
value
is
an
underestimate
(
Brown
assumed
non­
use
portion
of
user
WTP
to
be
same
as
that
for
non­
users).
Brown
uses
21/
14
ratio
for
users,
and
author
says
non­
use
value
accounts
for
at
least
84%
of
total
WTP,
implying
ratio
of
21/
25
(
see
p.
176).
Annual
WTP
for
improvement.
YES
­
expected
use
variable
significant
at
the
5%
level
conditional
logit
Annual
WTP
per
household
per
acre
for
wetlands
protection
in
the
Peconic
estuary
area
under
3
scenarios:
baseline
("
no
new
action")
level
of
degradation
by
2020,
program
to
restore,
and
program
to
preserve
the
resource,
in
terms
of
acreage.
Annual
WTP
per
household
per
acre
for
wetlands
protection
AHH
Annual
WTP
per
household
per
acre
for
eelgrass
protectionin
the
Peconic
estuary
area
3
scenarios:
baseline
("
no
new
action")
level
of
degradation
by
2020,
program
to
restore,
and
program
to
preserve
the
resource,
in
terms
of
acreage.
Annual
WTP
per
household
per
acre
for
eelgrass
protection
AHH
tobit
Annual
household
WTP
for
improvement
in
water
quality
of
3
coastal
pounds
to
allow
them
to
be
open
year­
round
for
shellfishing.
Annual
HH
WTP
AHH
March
12th,
2003
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Meta­
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Literature
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24
25
26
27
28
29
30
BH
BI
BJ
BK
BL
BM
BN
BO
BP
BQ
BR
BS
BT
BU
BV
BW
1
$
79.28
1
X
$
20.51
1
$
45.30
1
$
25.00
combined
user
&

nonuser
groups
X
$
35.00
$
14.00
1
$
0.05
combined
user
&

nonuser
groups
X
$
0.05
$
0.00
1
$
0.05
combined
user
&

nonuser
groups
X
$
0.06
$
0.01
1
$
53.10
33.69
use
of
ponds
for
shellfishing
$
19.41
$
77.59
$
77.59
March
12th,
2003
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47
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1200
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Notice
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Data
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Benefits
Meta­
Analysis
Literature
Review
24
25
26
27
28
29
30
BX
BY
BZ
CA
CB
CC
CD
CE
CF
CG
CH
CI
CJ
CK
Rec.
+
option
values
$
56.68
$
22.60
$
66.87
existence
+

bequest
$
33.86
$
33.01
$
41.95
existence
+
bequest
$
5.86
assumed
rec
value,
FISHER
VALUE
DEFLATED
TO
1973$
$
14.65
IMPUTED
NONUSE
VALUE
FISHER
VALUE
DEFLATED
TO
1973$
$
14.65
FISHER
VALUE
DEFLATE
D
TO
1973$

rec.
+
option
value
$
19.71
p.
4­
37
$
25.59
$
65.99
$
65.99
$
42.12
imputed
non­
use
value
subtracted
from
use
value
reported
in
study
$
21.00
IMPUTED
NONUSE
VALUE
$
21.00
imputed
non­
use
value
subtracted
from
use
value
reported
in
study
$
0.05
IMPUTED
NONUSE
VALUE
$
0.046
imputed
non­
use
value
subtracted
from
use
value
reported
in
study
$
0.04
IMPUTED
NONUSE
VALUE
$
0.045
March
12th,
2003
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48
of
157
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­
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316(
b)
Notice
of
Data
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Meta­
Analysis
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Review
24
25
26
27
28
29
30
CL
CM
CN
CO
CP
CQ
CR
CS
CT
CU
CV
CW
$
24.98
$
16.97
174/
177
for
rec.

and
option
24
$
42.12
$
14.18
current
non­
user
option
value
26
65
91
total
sample
145
total
N
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32
33
34
35
36
37
38
A
B
C
D
E
F
G
H
I
J
K
L
M
N
25
16
1
1312
Y
Welle
Welle
UW
DIS
1986
1985
CV
MN
2
26
17
1
1310
Z
Rowe
Rowe
et
al.
ERC
1985
1985
CV
Eagle
County,

CO
CO
4
27
17
1
1310
AA
Rowe
Rowe
et
al.
ERC
1985
1985
CV
CO,
Non­
Eagle
County
CO
4
28
18
1
1292
AB
Mitchell
Mitchell
&

Carson
EPA
1981
1980
CV
national
National
5
29
19
1
1287
AC
Clonts
Clonts
&
Malone
SSNRRM
1990
1987
CV
AL
3
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38
O
P
Q
R
S
T
U
V
W
X
mail
w/
phone
follow­
up
1
N=
669;
random
selection
from
list
of
drivers
license
holder;
designed
to
be
representative
of
MN
pop.

18
and
older.
representative
sample
of
MN
adults
drawn
from
list
of
driver's
license
holders
415
p.
251
non­
parametric
WTP
sample,
not
sure
what
associated
regression
N
is
FOOTNOTE?
76%
76%

mail
1
residents
of
Eagle
County,
CO
507
FOOTNOTE
­
represents
usable
surveys,
not
the
item
response
for
the
question
used
to
calculate
WTP
50%
50%

mail
1
Response
rate
is
applicable
for
responses
included
in
analysis;
45.5%
if
including
response
after
cutoff
date
CO
households
570
FOOTNOTE
­
this
is
max
usable
surveys
(
w/
data);
439
WTP
question
responses,
max
356
used
in
calculating
WTP
27%
27%

household
interviews
3
N=
1576;
WTP
data
for
832,

695
in
regression.
National
probability
sample
of
persons
18
or
older.
National
probability
sample
of
persons
18
or
older
695
regression
sample
73%
73%

telephone
2
random
survey
of
733
Alabama
households
random
sample
of
AL
households
733
surveyed
households
na
1
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38
Y
Z
AA
AB
AC
AD
AE
$
26,000
median
income
for
entire
sample
(
N=
669)
Prevention
of
acid
deposition
pollution
that
results
in
avoidance
of
decrease
in
MN
water
quality.
avoid
degradation
in
MN
water
quality
from
"
unpolluted"
to
"
severely
polluted"

due
to
reduction
in
acid
deposition
4
$
37,445
average
income
Clean
up
and
protection
of
eagle
mine
area
of
Eagle
River
and
prevent
future
contamination,
which
would
raise
water
quality
from
a
level
ok
for
watering
your
lawn,
or
for
some
industrial
uses,
to
ok
for
swimming,
rafting
etc.
(
interpreted
as
very
poor
to
excellent).
clean
up
and
protection
of
the
Eagle
Mine
area
of
the
Eagle
River,
CO
from
very
poor
quality
(
watering
lawn,
industrial
use)

to
excellent
quality
(
swimming,
washing)
1
$
27,500
average
income
Clean
up
of
Eagle
mine
hazardous
waste
site;
respondent
state
WTP
to
cleanup
all
CO
sites,
then
allocated
by
%
among
7
sites
for
which
the
State
was
taking
legal
action,
including
EM.
Baseline
and
improvement
not
well
defined,
but
assumed
same
as
change
in
other
survey
version.
clean
up
Eagle
Mine
hazardous
waste
site,
which
may
currently
preclude
safe
recreation
use
1
$
19,947
mean
income
of
regression
sample
(
N=
695)
Improvement
in
nation's
water
quality
(
lakes,
rivers
and
streams)
from
qualitatively
established
baseline,
ok
for
boating,
to
a
level
that
supports
game
fish
such
as
bass.

Boating
­­
Game
fishing.
improvement
in
nation's
water
quality
from
boatable
to
a
level
that
"
supports
game
fish
such
as
bass"
5
$
25,000.00
mean
of
the
averages
of
the
mean
range
of
income
for
river
users
and
non­
users
Preservation
of
15
Alabama
rivers
in
a
free­
flowing
state,

opposed
to
rivers
which
have
been
altered
by
dams,

infrastructure,
diversion
or
extraction.
preservation
of
15
AL
rivers
in
a
freeflowing
state,
free
of
alterations
by
dams,

infrastructure,
diversion,
or
extraction
4
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38
AF
AG
AH
AI
AJ
AK
AL
AM
AN
AO
AP
AQ
10
1
1
1
all
freshwater
5
0
7
1
1
1
river
R
3
0
7
1
1
1
river
R
3
0
8
0
1
1
all
freshwater
5
0
0
1
0
0
rivers
R
3
0
6
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33
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38
AR
AS
AT
AU
AV
AW
AX
AY
AZ
BA
higher
taxes
and
prices
for
total
value
question;
not
specified
for
existence
value
question
3
OE
value
categories
­

user
/

nonuser
2
X
all
surveyed
respondents
were
characterized
by
certainty
of
future
use:
extremely
likely,
likely,
somewhat
likely,

extremely
unlikely
1
state
earmarked
fund
3
OE
revealed
&

stated
5
Total
value
obtained
from
survey
for
all
eagle
county
residents
and
recreational
value
estimated
using
unit
day
values
from
U.
S.
Forest
Service,
Rocky
Mtn.
Region
1985.
2
not
specified,
"
How
much
would
you
be
WTP
to
fund
clean
up
of
hazardous
waste
sites?"
4
Payment
card
allocation
­

entire
sample
3
Respondent
allocated
WTP
among
3
reasons
by
%.
2
higher
taxes
and
prices
4
Payment
card
user
/

nonuser
total
values
1
Nonusers
reported
they
had
not
boated,
fished,
or
gone
swimming
in
freshwater
in
the
past
2
years
(
323
of
832
respondents
who
provided
WTP).
1
na
2
IB,
not
sure
of
details
('
bidding
procedure")
value
categories
­

user
/

nonuser
2
X
Households
identified
as
either
river
user
or
non­
user
households.
User
households
had
at
least
one
member
who
had
visited
a
free­
flowing
river
for
the
purpose
of
outdoor
recreation
in
the
past
3
years.
1
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38
BB
BC
BD
BE
BF
BG
Annual
WTP
(
assumed
household,
but
not
explicit
in
WTP
questions;
income
is
HH,
use
characterization
is
largely
by
HH)
to
avoid
reduction
in
MN
water
quality
from
"
unpolluted"
to
"
severely
polluted"
due
to
reduction
in
acid
deposition.
Estimated
for
certain
users,
likely,

somewhat
likely,
and
certain
non­
users.
Mean
WTP
values
used
are
those
for
respondents
who
answered
both
TWTP
and
EX
value
Q's.
Existence
value
for
both
users
and
nonusers
may
include
bequest
value.
Annual
HH
WTP
YES
­
likelihood
of
recreation
was
significant
at
the
1%
level
in
the
regrression
results
for
existence
value,
and
demandside
option
price
model
AHH
Annual
HH
WTP
to
clean
up
and
protect
eagle
mine
stretch
of
Eagle
River
from
very
poor
quality
(
ok
for
watering
lawn/
some
industrial
uses)
to
excellent
quality
(
ok
for
swimming,

washing).
Annual
HH
WTP
AHH
Annual
HH
WTP
to
clean
up
eagl
mine
hazardous
waste
site,
which
currently
may
preclude
safe
recreation
use
(
air,
water,
land).
1
of
7
sites
respondents
allocated
TWTP
for
all
CO
sites
among
(
non­
Eagle
County
CO
residents).
Annual
HH
WTP
AHH
OLS
Annual
WTP
(
HH
or
individual?)
to
improve
nation's
water
quality
from
"
boatable"
to
a
level
that
"
supports
game
fish
such
as
bass."
Study
measures
WTP
for
boatable
(
compensting
surplus),
fishable
(
equivalent
variation),
and
swimmable
(
equivalent
variation)
water
quality.
Annual
WTP
YES
­
whether
or
not
a
respondent
is
a
user
is
highly
significant
in
the
regression
of
this
variable
on
total
intrinsic
WTP
A
Average
annual
HH
WTP
for
preserving
15
AL
rivers
in
a
free­
flowing
state,
free
of
dams,

diversion,
extraction,
or
other
infrastructure.
Annual
HH
WTP
A
chi­
square
analysis
of
contingency
bid
values
and
attitudes
regarding
river
preservation
indicates
several
relationships
between
bid
value
and
attititude
that
are
very
different
(
unsure
of
statistical
interpretation).
AHH
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33
34
35
36
37
38
BH
BI
BJ
BK
BL
BM
BN
BO
BP
BQ
BR
BS
BT
BU
BV
BW
1
$
12.00
1
$
70.00
$
28.64
verify
w/
Elena,

used
unit
estimate
from
rec.
analysis
$
41.36
apparently
option
value
$
11.62
$
3.91
$
7.45
$
3.87
$
3.58
1
$
194.00
User
and
Nonuser
group
combined
mean
WTP
X
$
237.00
$
126.00
1
$
57.00
8
9.5
22.5
17
70
$
19.50
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33
34
35
36
37
38
BX
BY
BZ
CA
CB
CC
CD
CE
CF
CG
CH
CI
CJ
CK
rec
value
+
deman
side
option
value
$
119.00
$
119.00
$
68.00
imputed
non­
use
value
subtracted
from
use
value
reported
in
study
$
111.00
IMPUTED
NONUSE
VALUE
$
111.00
$
7.50
$
12.00
$
52.00
$
29.00
$
23.00
$
43.00
$
27.50
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32
33
34
35
36
37
38
CL
CM
CN
CO
CP
CQ
CR
CS
CT
CU
CV
CW
$
68.00
158
34
509
323
$
16.00
$
11.50
$
7.50
$
8.50
Unsure
of
context
of
use
value.

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89
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
A
B
C
Study
Characteristics
Coding
CODE
DESCRIPTION
NOTES
Publication
AAM
Advances
in
Applied
Micro­
Economics
EE
Ecological
Economics
EP
Environment
and
Planning
JEEM
Journal
of
Environmental
Economics
and
Management
JES
Journal
of
Environmental
Systems
JRU
Journal
of
Risk
and
Uncertainty
LE
Land
Economics
NDSU
DAE
North
Dakota
State
University,
Department
of
Agricultural
Economics
PNL
Battele
Pacific
Northwest
Laboratory,
PNL­
4255
QJE
The
Quarterly
Journal
of
Economics
RV
Rivers
WRR
Water
Resources
Research
URID
University
of
Rhode
Island
Dissertation
EREC
Environemental
and
Resource
Economcis
EPA
Environmental
Protection
Agency
Report
UW
DIS
University
of
Wisconsin
Dissertation
ERC
Energy
&
Resource
Consultants
SSNRRM
Book:
Social
Science
and
Natural
Resource
Recreation
Management
Elicitation
Method
2
IB
iterative
bidding
1
DC
dichotomous
choice
3
OE
open­
ended
4
PC
payment
card
5
CC
contingent
choice
Administration
Method
1
mail
2
phone
3
personal
interview
Waterbody
Type
1
river(
s)
&
Lake(
s)

2
estuary(
ies)

3
river(
s)

4
wetland(
s)

5
all
freshwater
possibly
collapse
into
1
Amenity
Change
0
water
quality
ladder
not
applicable
incremental
change
not
defined
1
visibly
contaminated
to
very
poor
no
use
to
outings
2
very
poor
to
poor
outings
to
boating
3
poor
to
fair
boating
to
rough
fishing
4
fair
to
good
rough
fishing
to
game
fishing
5
good
to
excellent
game
fishing
to
swimming
6
visibly
contaminated
to
poor
no
use
to
boating
7
very
poor
to
excellent
outings
to
swimming
8
poor
to
good
boating
to
game
fishing
9
poor
to
excellent
boating
to
swimming
10
fair
to
excellent
rough
fishing
to
swimming
Geographic
Region
1
east
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12th,
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54
55
56
57
58
59
60
61
62
A
B
C
2
midwest
3
south
4
west
5
national
or
>
1
region
Amenity
Scale
1
single
water
body
2
multiple
water
bodies
3
local/
regional
4
statewide
5
national
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10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
A
B
C
D
E
F
G
H
I
Calculations
Lant
Geographic
Split
Pop
Category
Iowa
Towns
Illinois
Towns
<
5,000
pop
4
4
5,000
­
25,000
pop
1
1
>
25,000
pop
2
2
Roberts
Surveyed
Counties
State/
County
Year
MN
1989$
1996$

Big
Stone
19,408
$
24,557
$

Grant
19,773
$
25,019
$

Stevens
21,921
$
27,737
$

Traverse
20,746
$
26,250
$

Wilkin
23,081
$
29,205
$

SD
Roberts
17,480
$
22,118
$

ND
Richland
24,248
$
30,682
$

Average
Income
20,951
$
26,510
$

WTP
Values
Housing
Units
Total
WTP
Average
Household
WTP
Non­
Use
to
Use
Ratios
Use
Value
Low
High
Low
Midpoint
High
Low
Midpoint
High
16,179
22,699
$
44,736
$
1.40
$
2.08
$
2.77
$
0.38
0.40
0.41
Option/
Bequest
Value
16,179
25,795
$
52,750
$
1.59
$
2.43
$
3.26
$

Existence
Value
16,179
18,508
$
40,451
$
1.14
$
1.82
$
2.50
$

Olsen
Average
State
Income
State
1989$

Idaho
24,654
$

Montana
23,692
$

Oregon
28,529
$

Washington
31,961
$

Average
State
Income
27,209
$

Sutherland
Surveyed
Counties
for
Income
Imputation
MT
County
1979$
1981$

Flathead
16,099
$
20,157
$

Missoula
16,269
$
20,370
$

Silver
Bow
14,591
$
18,269
$

Yellowstone
17,460
$
21,861
$

Average
County
Income
16,105
$
20,164
$

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57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
A
B
C
D
E
F
G
H
I
Cronin
Income
Imputation
Median
Household
Income
by
Metropolitan
Statistical
Areas
(
MSA):
1969,
1979,
and
1989
source:
http://
www.
census.
gov/
income/
ftp/
decennial/
historical/
msa/
msa1.
prn
1969$
1973$

D.
C.
MSA
Median
Income
(
DC,
MD
11,607
$
14,042
$

Opaluch
Income
Estimation
source:
table
VI.
6,
p.
105
Income
Category
Category
Midpoin
Freq
CF
Percent
of
Sample
<$
15,000
7,500
$
43
43
5.1%

$
15,000­$
24,999
20,000
$
77
120
9.1%

$
25,000­$
34,999
30,000
$
102
222
12.1%

$
35,000­$
49,999
42,500
$
111
333
13.2%

$
50,000­$
74,999
62,500
$
201
534
23.8%

$
75,000­$
99,999
87,500
$
113
647
13.4%

$
100,000­$
149,999
80,000
$
86
733
10.2%

$
150,000
or
more
150,000
$
111
844
13.2%

Did
Not
Answer
124
12.8%

Total
844
100.1%

Median
income
51,355.72
$
=
42500+(
422­
333)/(
201)*
20000
Median
income
56,641.29
$

Mitchell
Income
Estimation
Income
Category
Freq
Percent
of
Sample
<
$
9,999
485
33%

$
10,000­$
14,999
260
18%

$
15,000­$
24,999
439
30%

$
25,000
or
more
298
20%

Did
Not
Answer
94
6%

TOTAL
1482
Rowe
Recreation
Value
Estimation
U.
S.
Forest
Service
Unit
Day
Value
­
Wiildlife
&
Fish
14.00
$

County
Average
Days
Per
Person
Per
Year
12.25
Minturn
&
Red
Cliff
Days
Per
Person
Per
Year
18.5
Rest
of
County
Days
Per
Person
Per
Year
6
2/
12
Hours
Per
Visit
Adjustment
for
Unit
Day
Assumption
0.167
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105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
A
B
C
D
E
F
G
H
I
Annual
Recreation
Value
of
Eagle
County
Resident
28.64
$

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159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
A
B
C
D
E
F
G
H
I
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214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
A
B
C
D
E
F
G
H
I
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269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
A
B
C
D
E
F
G
H
I
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324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
A
B
C
D
E
F
G
H
I
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379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
A
B
C
D
E
F
G
H
I
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434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
A
B
C
D
E
F
G
H
I
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488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
A
B
C
D
E
F
G
H
I
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Data
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Meta­
Analysis
Literature
Review
12
3456789
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
Ratio
Calculations
Estimate
ID
AUTH
Number
of
Estimates
Weight
Pub
Year
Survey
Year
Total
Non­
Use
Value
Total
Use
Value
Non­
User
Non­

Use
Value
Estimate
Non­

Use
Value
*

Weight
Study­

Weighted
Non­

Use
Value
Estimate
Use
Value
*

Weight
Study­

Weighted
Use
Value
Estimate
Non­

Use
Value
for
Users
*

Weight
Study­
Weighted
Non­
Use
Value
for
Users
29
Clonts
&
Malone
1
1.00
1990
1987
55.43
$
30.88
$
82.35
$
55.43
$
55.43
$
30.88
$
30.88
$
82.35
$
82.35
$

13
Croke
et
al.
3
0.33
1986
1986
53.31
$
17.61
$
17.77
$
63.11
$
5.87
$
11.69
$

14
Croke
et
al.
3
0.33
1986
1986
60.91
$
11.11
$
20.30
$
3.70
$

15
Croke
et
al.
3
0.33
1986
1986
75.11
$
6.35
$
25.04
$
2.12
$

19
Cronin
1
1.00
1982
1973
59.37
$
23.75
$
59.37
$
59.37
$
23.75
$
23.75
$

20
Desvousges
et
al.
1
1.00
1983
1981
111.41
$
89.65
$
130.59
$
111.41
$
111.41
$
89.65
$
89.65
$
130.59
$
130.59
$

1
Huang
et
al.
2
0.50
1997
1995
59.02
$
158.25
$
29.51
$
89.27
$
79.13
$
128.00
$

2
Huang
et
al.
2
0.50
1997
1995
119.52
$
97.75
$
59.76
$
48.88
$

24
Kaoru
1
1.00
1993
1989
112.57
$
77.04
$
112.57
$
112.57
$
77.04
$
77.04
$

9
Lant
&
Roberts
3
0.33
1990
1987
68.56
$
57.30
$
22.85
$
80.75
$
19.10
$
70.89
$

10
Lant
&
Roberts
3
0.33
1990
1987
88.40
$
77.04
$
29.47
$
25.68
$

11
Lant
&
Roberts
3
0.33
1990
1987
85.29
$
78.34
$
28.43
$
26.11
$

8
Magat
et
al.
1
1.00
2000
1997
11.49
$
22.98
$
11.49
$
11.49
$
22.98
$
22.98
$

28
Mitchell
&
Carson
1
1.00
1981
1980
242.34
$
275.09
$
242.34
$
242.34
$
275.09
$
275.09
$

16
Olsen
et
al.
1
1.00
1991
1989
38.48
$
69.12
$
38.48
$
38.48
$
69.12
$
69.12
$

22
Opaluch
et
al.
1999
1995
$
0.05
$
0.00
23
Opaluch
et
al.
1999
1995
$
0.05
$
0.02
12
Roberts
&
Leitch
1
1.00
1997
1996
2.09
$
5.17
$
2.09
$
2.09
$
5.17
$
5.17
$

26
Rowe
et
al.
2
0.50
1985
1985
69.15
$
47.88
$
34.58
$
40.80
$
23.94
$
27.21
$

27
Rowe
et
al.
2
0.50
1985
1985
12.46
$
6.54
$
6.23
$
3.27
$

4
Sanders
et
al.
4
0.25
1990
1983
46.91
$
24.96
$
11.73
$
90.46
$
6.24
$
48.66
$

5
Sanders
et
al.
4
0.25
1990
1983
87.60
$
46.62
$
21.90
$
11.65
$

6
Sanders
et
al.
4
0.25
1990
1983
111.99
$
59.61
$
28.00
$
14.90
$

7
Sanders
et
al.
4
0.25
1990
1983
115.35
$
63.45
$
28.84
$
15.86
$

17
Sutherland
&
Walsh
1
1.00
1985
1981
91.53
$
35.78
$
91.53
$
91.53
$
35.78
$
35.78
$

18
Walsh
et
al.
1
1.00
1978
1976
132.63
$
250.66
$
211.42
$
132.63
$
132.63
$
250.66
$
250.66
$
211.42
$
211.42
$

25
Welle
1
1.00
1986
1985
113.69
$
20.06
$
198.96
$
113.69
$
113.69
$
20.06
$
20.06
$
198.96
$
198.96
$

21
Whitehead
&
Groothuis
1
1.00
1992
1991
27.74
$
18.49
$
27.74
$
27.74
$
18.49
$
18.49
$

3
Whitehead
et
al.
1
1.00
1995
1990
68.08
$
29.83
$
68.08
$
68.08
$
29.83
$
29.83
$

Total
18.00
Median
1990
1986
69.15
$
46.62
164.78
$
74.41
$
33.33
$
164.78
$

Mean
1989
1986
78.53
$
63.01
155.83
$
79.51
$
68.61
$
155.83
$

Stdev
5.33
5.68
48.12
$
67.42
60.52
$
54.69
$
77.52
$
60.52
$

Min
1978
1973
2.089
$
5.17
82.35
$
2.09
$
5.17
$
82.35
$

Max
2000
1997
242.34
$
275.09
211.42
$
242.34
$
275.09
$
211.42
$

March
12th,
2003
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71
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Weighted
WTP
Values
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Data
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Literature
Review
12
3456789
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
P
Q
R
S
T
U
V
Total
Pop.
/
User
Group
Method
Adjusted
Use
Value
Based
on
Imputed
User
Non­
Use
Value
group
group
X
group
X
group
X
group
X
group
component
component
component
component
component
component
component
group
X
group
X
group
X
group
X
component
component
component
component
component
component
component
component
group
group
group
X
group
X
March
12th,
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­
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WTP
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Data
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Use
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Meta­
Analysis
Literature
Review
1
2
34
56
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
A
B
C
D
E
F
G
H
I
J
Study
Summary
Summary
Data
Non­
Use
Study
ID
Authors
Pub
Year
Data
Year
Admin
Method
Response
Rate
State
Region
Waterbody
Type
Elicitation
Method
1
Huang
et
al.
1997
1995
phone
75%
NC
east
estuary(
ies)
dichotomous
choice
2
Whitehead
et
al.
1995
1990
phone
71%
NC
east
estuary(
ies)
iterative
bidding
3
Sanders
et
al.
1990
1983
mail
51%
CO
west
river(
s)
open­
ended
4
Magat
et
al.
2000
1997
personal
interview
na
CO/
NC
national
or
>

1
region
all
freshwater
iterative
bidding
5
Lant
&
Roberts
1990
1987
personal
interview
41%
IA/
IL
midwest
river(
s)
payment
card
6
Roberts
&
Leitch
1997
1996
mail
62%
MN/
SD
midwest
wetland(
s)
payment
card
7
Croke
et
al.
1986
1986
phone
85%
IL
midwest
river(
s)
iterative
bidding
8
Olsen
et
al.
1991
1989
phone
73%
Pacific
NW
(
ID,
MT,

OR,
WA)
west
river(
s)
open­
ended
9
Sutherland
&
Walsh
1985
1981
mail
61%
MT
west
river(
s)
&
Lake(
s)
open­
ended
10
Walsh
et
al.
1978
1976
personal
interview
na
CO
west
river(
s)
iterative
bidding
11
Cronin
1982
1973
personal
interview
82%
DC
east
river(
s)
open­
ended
12
Desvousges
et
al.
1983
1981
personal
interview
81%
PA
east
river(
s)
payment
card
13
Whitehead
&
Groothuis
1992
1991
mail
61%
NC
east
river(
s)
open­
ended
14
Opaluch
et
al.
1999
1995
personal
interview
na
NY
east
estuary(
ies)
contingent
choice
15
Kaoru
1993
1989
mail
49%
MA
east
estuary(
ies)
open­
ended
16
Welle
1986
1985
mail
76%
MN
midwest
all
freshwater
open­
ended
17
Rowe
et
al.
1985
1985
mail
50%
CO
west
river(
s)
open­
ended
18
Mitchell
&
Carson
1981
1980
personal
interview
73%
National
national
or
>

1
region
all
freshwater
payment
card
19
Clonts
&
Malone
1990
1987
phone
na
AL
south
river(
s)
iterative
bidding
Summary
Statistics
Response
Rate
not
including
27%
including
27%

Average:
66%
63%

Min:
41%
27%

Max:
85%
85%

TOTAL
15
16
Not
applicable
for
3
studies
and
not
available
for
1
March
12th,
2003
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Meta­
Analysis
Literature
Review
1
2
34
56
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
K
Non­
Use
Method
revealed
&
stated
user
/
non­
user
total
values
allocation
­
entire
sample
assume
non­
use
value
categories
­

entire
sample
value
categories
­

entire
sample
user
/
non­
user
total
values
user
/
non­
user
total
values
allocation
­
entire
sample
assume
non­
use
­

value
categories
user
/
non­
user
total
values
assume
non­
use
­

value
categories
user
/
non­
user
total
values
user
/
non­
user
total
values
allocation
­
entire
sample
value
categories
­
user
/
non­
user
revealed
&
stated
user
/
non­
user
total
values
value
categories
­
user
/
non­
user
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Data
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Use
Benefits
Meta­
Analysis
Literature
Review
35
36
37
38
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40
41
42
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45
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49
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73
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79
80
81
82
83
84
85
86
87
88
89
A
B
C
D
E
F
G
H
I
J
Median
Response
Rate
Calculation
27%
1
of
2
surveys
for
study
17
41%
49%
50%
51%
61%
61%
62%
66%

71%

73%
73%
75%
76%
81%
82%
85%

Administration
Method
Number
of
Studies
Mail
7
Phone
5
Personal
Interview
7
Elicitation
Method
Number
of
Studies
Contingent
Choice
1
Dichotomous
choice
1
Iterative
bidding
5
Open­
ended
8
Payment
Card
4
Unique
States
Where
Survey
Was
Conducted
AL
CO
DC
IA
ID
IL
MA
MN
MT
NC
OR
PA
SD
WA
14
Waterbody
Types
Number
of
Studies
all
freshwater
3
estuary(
ies)
4
river(
s)
10
river(
s)
&
Lake(
s)
1
wetland(
s)
1
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Analysis
Literature
Review
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36
37
38
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40
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42
43
44
45
46
47
48
49
50
51
52
53
54
55
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57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
K
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Non­
Use
Benefits
Meta­
Analysis
Literature
Review
90
91
92
93
94
95
96
97
98
99
100
101
A
B
C
D
E
F
G
H
I
J
Non­
Use
Value
Method
Number
of
Studies
Allocation
3
allocation
­
entire
sample
3
4
­­
2nd
approach
by
Rowe
allocation
­
user
/
non­
users
0
Assume
Non­
Use
3
Assume
non­
use
1
Assume
non­
use
­
value
categories
2
Revealed
&
stated
2
User
/
non­
user
total
values
7
Value
categories
4
value
categories
­
entire
sample
2
value
categories
­
user
/
non­
user
2
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Benefits
Meta­
Analysis
Literature
Review
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99
100
101
K
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Data
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Use
Benefits
Meta­
Analysis
Literature
Review
123
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
U.
S.
Census
Bureau
Source:
http://
www.
census.
gov/
hhes/
income/
histinc/
h08.
html
Table
H­
8.
Median
Household
Income
by
State:
1984
to
2001
(
Households
as
of
March
of
the
following
year.
Income
in
current
and
2001
CPI­
U­
RS
adjusted
dollars28/)

INCOME
IN
CURRENT
DOLLARS
2001
2000
30/
2000
1999
29/
1999
1998
1997
1996
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
State
income
error
income
error
income
error
income
error
income
error
income
error
income
error
income
error
United
States
$
42,228
$
129
$
41,990
$
132
$
42,022
$
196
$
40,696
$
190
$
40,816
$
192
$
38,885
$
230
$
37,005
$
171
$
35,492
$
179
Alabama
35,160
1,006
35,424
1,072
33,013
1,954
36,251
1,189
36,213
1,185
36,266
1,307
31,939
1,607
30,302
1,258
Alaska
57,363
2,012
52,847
1,159
50,637
1,632
51,396
2,226
51,509
2,198
50,692
2,124
47,994
1,258
52,779
1,907
Arizona
42,704
1,441
39,783
1,210
41,432
1,315
36,995
1,133
37,119
1,206
37,090
1,255
32,740
1,297
31,637
1,274
Arkansas
33,339
1,144
29,697
772
30,179
926
29,682
1,026
29,762
1,062
27,665
1,160
26,162
1,154
27,123
978
California
47,262
727
46,816
686
46,604
924
43,629
703
43,744
697
40,934
577
39,694
864
38,812
818
Colorado
49,397
1,190
48,240
1,237
48,322
1,722
48,177
1,483
48,346
1,490
46,599
1,086
43,233
1,944
40,950
1,329
Connecticut
53,347
1,240
50,172
1,357
50,152
2,016
50,593
2,296
50,798
2,333
46,508
2,728
43,985
1,989
42,119
3,087
Delaware
49,602
1,468
50,365
1,508
50,043
2,730
46,628
2,281
46,839
2,318
41,458
1,753
43,033
2,062
39,309
1,402
D.
C.
41,169
1,023
41,222
1,072
38,599
1,724
38,670
1,599
38,686
1,625
33,433
1,311
31,860
984
31,966
1,578
Florida
36,421
417
38,856
743
37,942
794
35,831
627
35,876
641
34,909
767
32,455
583
30,641
513
Georgia
42,576
1,073
41,901
831
42,863
957
39,425
1,355
39,433
1,382
38,665
1,179
36,663
916
32,496
1,666
Hawaii
47,439
1,256
51,546
1,193
48,018
2,083
44,504
1,832
44,373
1,750
40,827
2,369
40,934
1,399
41,772
1,893
Idaho
38,241
966
37,611
1,192
37,273
1,660
35,800
1,413
35,906
1,405
36,680
1,090
33,404
1,339
34,709
1,341
Illinois
46,171
879
46,064
966
46,371
1,168
46,330
1,028
46,392
1,029
43,178
1,234
41,283
782
39,554
1,107
Indiana
40,379
948
40,865
679
39,396
1,635
40,838
1,719
40,929
1,721
39,731
1,589
38,889
1,183
35,147
1,298
Iowa
40,976
1,133
40,991
811
42,777
1,435
41,098
1,130
41,238
1,125
37,019
1,202
33,783
1,282
33,209
1,527
Kansas
41,415
1,115
41,059
1,168
37,529
1,990
37,348
2,078
37,476
2,123
36,711
1,617
36,471
1,614
32,585
1,460
Kentucky
38,437
1,009
36,265
848
37,079
1,660
33,738
1,484
33,901
1,497
36,252
1,511
33,452
1,659
32,413
1,439
Louisiana
33,322
1,195
30,718
828
30,122
1,280
32,654
1,244
32,695
1,255
31,735
1,660
33,260
1,551
30,262
1,290
Maine
36,612
952
37,266
853
41,624
1,174
38,862
1,319
38,932
1,328
35,640
1,049
32,772
1,301
34,696
1,211
Maryland
53,530
1,652
54,535
1,400
51,494
2,047
52,205
2,217
52,310
2,212
50,016
2,161
46,685
1,476
43,993
2,565
Massachusetts
52,253
1,518
46,753
1,357
46,695
1,678
44,005
2,023
44,192
2,088
42,345
1,961
42,023
1,383
39,494
1,932
Michigan
45,047
868
45,512
1,095
46,046
1,445
46,089
1,026
46,238
1,031
41,821
917
38,742
1,108
39,225
1,143
Minnesota
52,681
1,134
54,251
1,703
50,648
1,699
47,038
1,527
47,240
1,565
47,926
2,115
42,564
1,510
40,991
1,225
Mississippi
30,161
1,186
34,299
1,354
31,512
943
32,478
1,408
32,540
1,402
29,120
1,158
28,499
1,386
26,677
1,316
Missouri
41,339
1,204
45,097
1,187
47,391
1,752
41,383
1,191
41,466
1,231
40,201
1,868
36,553
2,060
34,265
1,513
Montana
32,126
737
32,777
1,001
31,912
1,234
31,038
966
31,244
961
31,577
1,133
29,212
1,145
28,684
1,566
Nebraska
43,611
1,116
41,750
1,018
38,327
1,915
38,626
1,366
38,787
1,380
36,413
1,549
34,692
1,528
34,014
1,500
Nevada
45,403
1,130
45,758
1,011
44,624
1,348
41,461
1,764
41,680
1,880
39,756
1,225
38,854
1,576
38,540
1,615
New
Hampshire
51,331
719
50,926
1,243
48,784
2,319
46,055
1,952
46,167
1,963
44,958
1,866
40,998
1,604
39,407
1,734
New
Jersey
51,771
933
50,405
991
50,892
881
49,734
1,405
49,930
1,390
49,826
1,436
48,021
1,424
47,468
1,217
New
Mexico
33,124
1,238
35,093
1,248
35,258
1,934
32,574
1,746
32,475
1,761
31,543
1,398
30,086
1,157
25,086
1,091
New
York
42,114
600
40,744
581
41,482
854
39,989
879
40,058
882
37,394
777
35,798
634
35,410
746
North
Carolina
38,162
951
38,317
806
38,693
1,331
37,254
960
37,340
1,016
35,838
1,022
35,840
917
35,601
1,008
North
Dakota
35,793
804
35,996
1,065
35,066
1,617
32,663
1,383
32,877
1,349
30,304
1,179
31,661
1,361
31,470
1,184
Ohio
41,785
661
42,962
732
43,782
1,080
39,489
989
39,617
986
38,925
1,576
36,134
894
34,070
1,063
March
12th,
2003
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­
State
Income
Record
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of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
R
S
T
U
V
W
X
Y
Z
AA
AB
AC
AD
AE
AF
AG
AH
AI
AJ
1995
25/
1994
24/
1993
23/
1992
22/
1991
1990
1989
1988
1987
21/
1986
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
Standard
Median
income
error
income
error
income
error
income
error
income
error
income
error
income
error
income
error
income
error
income
$
34,076
$
197
$
32,264
$
147
$
31,241
$
146
$
30,636
$
145
$
30,126
$
144
$
29,943
$
153
$
28,906
$
159
$
27,225
$
139
$
25,986
$
127
$
24,897
25,991
1,266
27,196
1,559
25,082
1,088
25,808
1,058
24,346
1,068
23,357
1,037
21,284
1,070
19,948
912
19,734
1,147
19,132
47,954
2,008
45,367
1,494
42,931
1,643
41,802
1,156
40,612
1,822
39,298
1,627
36,006
1,378
33,103
1,183
33,233
1,497
31,356
30,863
1,360
31,293
773
30,510
1,120
29,358
1,088
30,737
897
29,224
1,141
28,552
1,210
26,435
843
26,749
892
25,500
25,814
999
25,565
944
23,039
847
23,882
1,398
23,435
783
22,786
981
21,433
915
20,172
706
18,827
1,008
18,730
37,009
723
35,331
619
34,073
651
34,903
629
33,664
685
33,290
565
33,009
618
30,287
634
30,146
538
29,010
40,706
1,552
37,833
1,446
34,488
1,569
32,484
1,471
31,499
1,245
30,733
906
26,806
1,398
26,214
1,285
26,476
1,075
27,192
40,243
2,269
41,097
1,595
39,516
1,660
40,841
1,972
42,154
1,944
38,870
2,097
42,321
1,592
36,213
1,293
32,862
1,362
32,721
34,928
1,848
35,873
1,191
36,064
849
35,678
1,393
32,585
1,111
30,804
1,113
32,068
1,133
30,505
1,167
29,244
875
25,626
30,748
1,182
30,116
1,107
27,304
1,726
30,247
1,124
29,885
1,903
27,392
1,562
26,752
1,015
26,741
748
27,455
1,285
24,322
29,745
612
29,294
632
28,550
707
27,349
526
27,252
475
26,685
454
26,085
475
25,406
475
24,489
476
22,849
34,099
897
31,467
1,238
31,663
1,254
28,797
1,228
27,212
1,088
27,561
1,186
27,542
1,021
26,566
896
26,714
1,380
24,370
42,851
1,292
42,255
2,423
42,662
1,759
42,113
1,435
37,246
1,630
38,921
1,414
35,035
1,328
33,024
1,482
35,022
1,074
29,003
32,676
1,116
31,536
1,278
31,010
1,323
27,704
874
26,116
1,029
25,305
975
24,654
953
23,450
1,004
20,755
834
20,749
38,071
875
35,081
799
32,857
810
31,551
752
31,884
714
32,542
724
31,300
623
29,524
754
27,084
536
26,511
33,385
1,444
27,858
1,032
29,475
1,361
28,530
1,315
27,089
922
26,928
1,099
25,898
1,022
26,293
931
22,519
944
22,728
35,519
942
33,079
1,280
28,663
1,240
28,743
972
28,553
1,012
27,288
986
26,265
792
24,305
1,078
22,190
912
22,459
30,341
921
28,322
1,064
29,770
1,144
30,346
1,137
29,295
934
29,917
1,179
26,862
908
25,566
1,153
25,583
900
23,926
29,810
1,149
26,595
1,028
24,376
1,091
23,485
1,259
23,764
1,046
24,780
1,213
23,283
1,206
19,907
801
20,673
939
19,874
27,949
1,090
25,676
1,501
26,312
1,164
25,439
1,142
25,299
1,156
22,405
1,580
22,861
1,857
20,497
1,474
21,349
858
20,890
33,858
1,088
30,316
1,537
27,438
1,203
29,617
1,026
27,868
1,253
27,464
1,572
28,221
1,389
26,402
942
23,600
1,019
23,424
41,041
1,627
39,198
1,400
39,939
1,282
37,203
1,626
36,952
1,417
38,857
1,596
36,016
1,187
36,552
1,196
34,970
1,388
30,604
38,574
1,475
40,500
1,060
37,064
949
36,359
738
35,714
790
36,247
828
36,086
704
33,213
839
32,241
716
30,339
36,426
994
35,284
685
32,662
682
32,267
761
32,117
689
29,937
663
30,775
790
29,472
607
27,702
724
26,605
37,933
1,848
33,644
1,360
33,682
1,212
30,981
1,297
29,479
1,146
31,465
1,028
30,185
1,278
29,087
1,041
28,082
1,113
26,443
26,538
1,028
25,400
752
22,191
1,229
20,570
1,074
19,475
1,053
20,178
802
19,917
947
18,166
888
18,513
901
16,513
34,825
1,373
30,190
1,442
28,682
1,466
27,361
1,451
27,926
1,415
27,332
1,394
26,497
746
23,443
1,088
23,720
1,167
21,925
27,757
1,105
27,631
1,246
26,470
965
26,525
728
24,827
890
23,375
983
23,692
1,311
22,231
829
20,474
799
20,328
32,929
1,155
31,794
1,116
31,008
833
30,048
1,071
29,549
1,007
27,482
1,128
26,319
1,521
25,159
960
23,268
761
21,772
36,084
1,314
35,871
1,534
35,814
1,078
31,908
796
32,937
1,564
32,023
1,179
29,340
948
27,983
956
26,878
1,128
26,217
39,171
1,556
35,245
1,837
37,964
1,620
39,436
1,922
36,032
1,339
40,805
1,313
37,532
1,371
34,625
1,129
32,338
1,450
30,548
43,924
1,400
42,280
1,064
40,500
986
39,000
841
40,049
1,033
38,734
864
39,120
948
36,287
658
34,241
794
31,715
25,991
1,100
26,905
1,382
26,758
853
25,860
1,347
26,540
1,195
25,039
1,048
22,602
1,029
19,296
833
20,758
621
19,845
33,028
716
31,899
477
31,697
556
31,051
529
31,794
538
31,591
511
31,496
453
28,915
668
26,384
456
25,025
31,979
888
30,114
670
28,820
653
27,771
616
26,853
510
26,329
556
26,406
517
24,415
536
22,760
542
21,861
29,089
1,217
28,278
1,115
28,118
835
26,959
901
25,892
932
25,264
1,003
25,229
903
24,092
1,009
22,576
905
21,508
34,941
988
31,855
584
31,285
658
31,404
587
29,790
759
30,013
720
29,021
655
27,740
636
25,773
555
25,115
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Analysis
Literature
Review
123
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
AK
AL
AM
AN
AO
1985
20/
1984
19/

Standard
Median
Standard
Median
Standard
error
income
error
income
error
$
129
$
23,618
$
128
$
22,415
$
102
885
18,333
760
17,310
605
1,017
34,782
1,089
32,356
1,473
718
23,877
744
21,425
609
765
17,451
764
15,674
748
570
26,981
350
25,287
364
926
28,182
850
25,801
805
1,605
31,090
1,129
29,951
1,238
1,212
22,980
1,366
25,819
1,027
1,252
21,076
756
20,408
860
540
21,343
437
19,785
468
1,112
21,049
788
19,984
815
1,206
28,961
1,446
28,877
1,216
680
20,761
598
21,092
963
634
24,870
523
23,752
567
709
22,675
626
22,770
710
750
20,927
604
19,863
745
782
22,788
1,033
24,629
912
1,006
17,361
748
17,680
1,079
956
21,179
728
18,949
880
970
20,519
803
20,648
884
1,036
30,136
966
29,708
1,151
735
28,207
810
26,959
693
648
24,242
838
22,965
635
1,150
23,856
1,022
24,436
914
639
16,413
619
15,430
732
772
21,939
608
20,775
715
749
20,236
800
19,536
720
814
21,799
914
21,397
765
895
23,274
1,005
25,776
1,018
829
26,403
1,074
25,914
735
842
30,980
643
27,776
800
693
20,423
1,025
20,630
1,029
474
23,639
523
22,027
417
698
21,451
585
20,569
641
785
21,205
809
20,771
1,038
588
25,174
564
23,123
492
March
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2003
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Income
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316(
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Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
Oklahoma
35,609
690
32,432
709
32,347
993
32,683
1,491
32,919
1,559
33,727
1,232
31,351
1,025
27,437
1,089
Oregon
41,273
752
42,499
936
42,426
1,598
40,619
1,252
40,713
1,242
39,067
1,927
37,247
1,788
35,492
1,274
Pennsylvania
43,499
723
42,176
704
43,438
1,254
37,758
1,141
37,995
1,207
39,015
1,080
37,517
964
34,899
974
Rhode
Island
45,723
1,147
42,197
1,018
42,698
2,498
42,719
1,980
42,936
2,012
40,686
2,657
34,797
2,235
36,986
1,036
South
Carolina
37,736
1,023
37,570
937
37,072
1,307
36,462
1,728
36,563
1,746
33,267
1,310
34,262
1,609
34,665
1,405
South
Dakota
39,671
856
36,475
687
35,939
1,260
35,828
944
35,982
917
32,786
1,013
29,694
1,145
29,526
1,003
Tennessee
35,783
791
34,096
930
33,908
1,518
36,522
1,310
36,536
1,326
34,091
1,307
30,636
1,358
30,790
1,087
Texas
40,860
512
38,609
785
39,655
858
38,688
1,020
38,978
1,025
35,783
662
35,075
880
33,072
763
Utah
47,342
1,601
47,550
1,041
45,064
1,251
46,050
1,615
46,094
1,631
44,299
1,375
42,775
1,785
37,038
1,330
Vermont
40,794
944
39,594
921
38,059
1,876
41,584
1,407
41,630
1,422
39,372
1,591
35,053
1,727
32,358
1,250
Virginia
50,241
1,148
47,163
1,065
49,790
2,232
45,693
1,770
45,750
1,787
43,354
2,195
42,957
1,897
39,211
1,459
Washington
42,490
1,264
42,525
1,211
41,869
1,558
45,473
2,080
45,639
2,027
47,421
1,379
44,562
1,715
36,676
1,608
West
Virginia
29,673
674
29,411
645
28,973
751
29,297
1,149
29,433
1,140
26,704
780
27,488
1,315
25,247
1,301
Wisconsin
45,346
1,123
45,088
952
45,156
1,712
45,667
1,878
45,825
1,883
41,327
1,271
39,595
1,150
40,001
1,780
Wyoming
39,719
1,166
39,629
1,056
38,883
1,797
37,248
1,285
37,395
1,298
35,250
1,316
33,423
1,441
30,953
858
March
12th,
2003
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Income
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Data
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Use
Benefits
Meta­
Analysis
Literature
Review
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
R
S
T
U
V
W
X
Y
Z
AA
AB
AC
AD
AE
AF
AG
AH
AI
AJ
26,311
880
26,991
1,213
26,260
1,492
25,284
1,075
25,462
1,079
24,384
1,044
23,667
1,236
23,667
756
21,691
884
20,948
36,374
970
31,456
1,128
33,138
1,160
31,927
2,039
30,190
1,087
29,281
966
28,529
1,435
27,748
1,150
25,038
1,092
24,773
34,524
683
32,066
654
30,995
694
29,882
667
30,367
614
29,005
688
28,690
684
26,742
497
25,424
541
23,807
35,359
1,373
31,928
1,321
33,509
1,547
30,432
1,433
30,836
1,091
31,968
1,175
30,124
1,354
29,842
1,584
28,292
1,440
26,540
29,071
1,400
29,846
1,139
26,053
960
27,578
1,434
27,463
1,137
28,735
1,383
23,798
1,059
25,533
1,150
25,049
1,136
21,968
29,578
1,610
29,733
1,185
27,737
1,040
26,259
669
24,639
780
24,571
858
24,108
999
22,294
703
21,151
597
19,898
29,015
1,268
28,639
1,028
25,102
831
24,318
913
24,453
915
22,592
869
22,611
1,305
20,856
1,017
21,179
795
18,256
32,039
634
30,755
655
28,727
613
27,953
634
27,733
626
28,228
716
25,886
559
24,963
582
24,721
637
24,162
36,480
919
35,716
1,041
35,786
1,242
34,251
1,145
28,016
1,359
30,142
1,018
30,717
1,014
26,313
909
26,529
1,194
26,281
33,824
1,242
35,802
1,906
31,065
956
32,755
1,333
29,155
1,222
31,098
1,331
31,295
1,136
28,988
1,077
25,415
1,374
24,599
36,222
1,391
37,647
1,531
36,433
1,387
38,198
1,359
36,137
1,336
35,073
1,048
34,118
1,205
32,648
1,319
29,996
1,013
29,715
35,568
1,252
33,533
1,190
35,655
1,111
33,900
1,247
33,970
1,185
32,112
1,239
31,961
1,472
32,327
1,030
27,319
1,108
26,881
24,880
870
23,564
1,217
22,421
981
20,271
892
23,147
918
22,137
1,142
21,677
843
19,353
930
17,207
778
16,464
40,955
1,318
35,388
1,272
31,766
1,340
33,308
1,097
31,133
1,018
30,711
897
29,123
1,240
29,575
978
26,369
1,410
26,430
31,529
1,136
33,140
1,848
29,442
1,167
30,209
1,420
29,050
1,382
29,460
991
29,521
1,289
26,419
1,095
27,590
1,458
23,559
March
12th,
2003
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83
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Income
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Data
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Use
Benefits
Meta­
Analysis
Literature
Review
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
AK
AL
AM
AN
AO
871
21,205
764
21,148
718
1,002
21,894
1,042
21,399
745
495
22,877
538
20,346
499
1,060
24,625
900
21,612
848
864
20,036
862
20,309
934
664
18,142
702
19,409
928
884
17,778
557
16,782
576
514
23,743
546
23,024
533
810
25,238
702
23,057
735
1,003
26,000
942
22,578
983
1,074
28,429
1,324
26,525
874
950
24,000
756
25,017
823
905
15,983
828
16,843
608
803
23,246
1,161
20,743
821
863
22,081
1,049
23,816
731
March
12th,
2003
Page
84
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157
5­
1200
­
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Income
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316(
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Benefits
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Analysis
Literature
Review
123
4
5
6
789
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
A
B
U.
S.
Census
Bureau
Source:
http://
www.
census.
gov/
hhes/
income/
histinc/
ftnotes.
html
Historical
Income
Tables
Footnotes
for
Historical
Income
Tables
from
the
Current
Population
Survey
(
CPS)

Please
note
that
not
all
footnotes
apply
to
all
tables
NA
Not
available.

B
Base
less
than
75,000.

X
Not
applicable.

­
Zero
or
rounds
to
zero.

1/
Before
1983,
based
on
CPI­
U­
X1
2/
Before
1967,
CPI
factors
are
extrapolated.

3/
Before
1967,
data
are
for
"
Black
and
other
races"
combined
4/
People
of
Hispanic
origin
may
be
of
any
race.

5/
Data
based
on
1940
census
population
controls.

6/
Data
reflect
implementation
of
expanded
income
questions
to
show
wage
and
salary,
farm
self­
employment,
nonfarm
self­
employment,
and
all
other
nonearned
income
separately.

7/
Data
reflect
implementation
of
1950
census
population
controls.

8/
Data
reflect
implementation
of
first
hotdeck
procedure
to
impute
missing
income
entries
(
all
income
data
imputed
if
any
missing).
Data
also
reflect
introduction
of
1960
census­
based
sample
design.

9/
Data
reflect
full
implementation
of
1960
census­
based
sample
design
and
population
controls.

10/
Data
reflect
implementation
of
new
procedures
to
impute
missing
data
only.

11/
Questionnaire
expanded
to
ask
eight
income
questions.

12/
Data
reflect
implementation
of
a
new
March
CPS
processing
system.

13/
Data
reflect
introduction
of
1970
census­
based
sample
design
and
population
controls.

14/
Data
reflect
full
implementation
of
1970
census­
based
sample
design.

15/
Data
reflect
implementation
of
a
new
March
CPS
processing
system.
Questionnaire
expanded
to
ask
11
income
questions.

16/
Some
of
these
estimates
were
derived
using
Pareto
interpolation
and
may
differ
from
published
data
which
were
derived
using
linear
interpolation.

17/
First
year
medians
were
derived
using
both
Pareto
and
linear
interpolation.
Before
this
year,
all
medians
were
derived
using
linear
interpolation.

18/
Data
reflect
implementation
of
1980
census
population
controls.
Questionnaire
expanded
to
show
27
possible
values
from
51
possible
sources
of
income.

19/
Data
reflect
implementation
of
Hispanic
population
weighting
controls
and
introduction
of
1980
census­
based
sample
design.

20/
Recording
of
amounts
for
earnings
from
longest
job
were
increased
to
$
299,999.
Data
reflect
full
implementation
of
1980
census­
based
sample
design.

21/
Data
reflect
implementation
of
a
new
March
CPS
processing
system.

22/
Data
reflect
implementation
of
1990
census
population
controls.

23/
Data
collection
method
changed
from
paper
and
pencil
to
computer­
assisted
interviewing.
In
addition,
the
March
1994
income
supplement
was
revised
to
allow
for
the
coding
of
different
income
amounts
on
selected
questionnaire
items.

Child
support
and
alimony
limits
decreased
to
$
49,999.
Limits
increased
in
the
following
categories:
earnings
to
$
999,999;
social
security
to
$
49,999;
supplemental
security
income
and
public
assistance
income
to
$
24,999;
and
veterans'
benefits
to
$
99,999.

24/
Data
reflect
introduction
of
1990
census­
based
sample
design.

25/
Data
reflect
full
implementation
of
the
1990
census­
based
sample
design
and
metropolitan
definitions,
7,000
household
sample
reduction,
and
revised
race
edits.

26/
Starting
in
1999,
alternative
income
definition
7
includes
federal
EIC
and
EIC
for
the
nine
states
that
use
federal
eligibility
rules
to
compute
the
state
credit
as
a
percentage
of
the
federal
EIC.
The
nine
states
are:
Iowa,
Kansas,

Massachusetts,
Maryland,
New
York,
Oregon,
Rhode
Island,
Vermont,
and
Wisconsin.

March
12th,
2003
Page
85
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157
5­
1200
­
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Income
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Data
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Benefits
Meta­
Analysis
Literature
Review
39
40
41
42
43
A
B
27/
Starting
in
1999,
50th
percentile
is
based
on
micro­
sorted
data.

28/
The
CPI­
U­
RS
is
a
price
index
of
inflation
that
incorporates
most
of
the
improvements
in
methodology
made
to
the
current
CPI­
U
since
1978
into
a
single,
uniform
series.
See
Money
Income
in
the
United
States:
1999
or
the
appendix
of
Money
Income
in
the
United
States:
1998
for
more
information.
Before
1977
the
CPI­
U­
RS
is
extrapolated.

29/
Data
reflect
implementation
of
Census
2000­
based
population
controls.

30/
Sample
expanded
by
28,000
households.

31/
Based
on
November
2001
weighting
correction.
See
March
2001
CPS
Weighting
Correction
User
Note
http://
www.
bls.
census.
gov/
cps/
ads/
2001/
susenote.
htm
March
12th,
2003
Page
86
of
157
5­
1200
­
State
Income
Footnotes
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123
4
56
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
A
B
C
D
E
F
Median
Household
Income
by
County:
1969,
1979,
1989
Source:
http://
www.
census.
gov/
income/
ftp/
decennial/
historical/
county/
c1.
prn
(
In
current
and
1989
CPI­
U
adjusted
dollars1/)
1989
1979
1969
County/
State
current
1989
current
1989
United
States
$
30,056
$
16,841
$
28,220
$
8,486
$
26,707
Alabama
$
23,597
$
13,669
$
22,905
$
6,419
$
20,202
Autauga
County,
AL
28,337
16,524
27,689
6,808
21,426
Baldwin
County,
AL
25,712
14,614
24,488
6,430
20,237
Barbour
County,
AL
19,389
10,058
16,854
4,318
13,590
Bibb
County,
AL
19,775
12,299
20,609
4,935
15,531
Blount
County,
AL
22,382
12,657
21,209
5,572
17,536
Bullock
County,
AL
14,745
8,204
13,747
3,088
9,719
Butler
County,
AL
16,054
10,206
17,102
4,479
14,096
Calhoun
County,
AL
23,802
13,665
22,898
6,536
20,570
Chambers
County,
AL
21,256
12,304
20,618
6,092
19,173
Cherokee
County,
AL
21,368
12,004
20,115
5,522
17,379
Chilton
County,
AL
21,627
11,879
19,905
4,940
15,547
Choctaw
County,
AL
17,115
10,134
16,981
4,550
14,320
Clarke
County,
AL
19,067
12,091
20,261
5,215
16,413
Clay
County,
AL
19,252
10,984
18,406
5,109
16,079
Cleburne
County,
AL
21,158
12,782
21,418
5,792
18,229
Coffee
County,
AL
23,905
14,148
23,707
6,200
19,513
Colbert
County,
AL
22,378
15,445
25,881
6,803
21,410
Conecuh
County,
AL
15,992
9,211
15,435
3,846
12,104
Coosa
County,
AL
20,279
10,968
18,379
5,600
17,624
Covington
County,
AL
18,394
11,209
18,783
5,052
15,900
Crenshaw
County,
AL
16,460
8,906
14,924
3,740
11,771
Cullman
County,
AL
21,672
12,117
20,304
5,581
17,565
Dale
County,
AL
24,091
12,627
21,159
7,066
22,238
Dallas
County,
AL
16,493
10,565
17,704
4,987
15,695
DeKalb
County,
AL
20,135
11,475
19,228
4,715
14,839
Elmore
County,
AL
26,341
14,985
25,110
5,993
18,861
Escambia
County,
AL
18,472
11,580
19,404
5,497
17,300
Etowah
County,
AL
22,314
13,320
22,320
6,717
21,140
Fayette
County,
AL
19,844
11,878
19,904
4,822
15,176
Franklin
County,
AL
17,907
12,112
20,296
5,402
17,001
Geneva
County,
AL
20,027
10,866
18,208
5,030
15,830
Greene
County,
AL
11,990
7,406
12,410
2,569
8,085
Hale
County,
AL
14,508
8,236
13,801
3,248
10,222
Henry
County,
AL
22,130
11,627
19,483
4,429
13,939
Houston
County,
AL
24,813
14,075
23,585
6,424
20,218
Jackson
County,
AL
21,910
13,772
23,077
5,684
17,889
Jefferson
County,
AL
25,858
15,656
26,234
7,518
23,661
Lamar
County,
AL
20,618
12,695
21,273
4,329
13,624
Lauderdale
County,
AL
23,690
15,093
25,291
6,788
21,363
March
12th,
2003
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Income
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Data
Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
A
B
C
D
E
F
Lawrence
County,
AL
21,519
12,097
20,271
5,524
17,385
Lee
County,
AL
21,227
11,655
19,530
6,615
20,819
Limestone
County,
AL
26,875
14,223
23,833
6,133
19,302
Lowndes
County,
AL
15,584
8,383
14,047
3,288
10,348
Macon
County,
AL
15,642
8,843
14,818
4,161
13,096
Madison
County,
AL
33,048
16,957
28,414
9,788
30,805
Marengo
County,
AL
18,663
10,494
17,585
4,137
13,020
Marion
County,
AL
18,455
11,964
20,048
5,413
17,036
Marshall
County,
AL
21,458
12,433
20,834
5,830
18,348
Mobile
County,
AL
22,994
14,702
24,636
6,968
21,930
Monroe
County,
AL
21,140
11,596
19,431
4,476
14,087
Montgomery
County,
AL
26,551
14,877
24,929
7,075
22,266
Morgan
County,
AL
28,364
15,790
26,459
7,533
23,708
Perry
County,
AL
13,769
7,856
13,164
3,871
12,183
Pickens
County,
AL
17,879
10,436
17,487
4,444
13,986
Pike
County,
AL
17,312
9,748
16,334
4,568
14,376
Randolph
County,
AL
19,440
10,398
17,424
5,052
15,900
Russell
County,
AL
20,995
11,344
19,009
5,347
16,828
St.
Clair
County,
AL
24,106
14,485
24,272
5,876
18,493
Shelby
County,
AL
36,852
18,272
30,618
6,323
19,900
Sumter
County,
AL
12,811
9,185
15,391
3,413
10,741
Talladega
County,
AL
21,378
12,625
21,155
6,225
19,591
Tallapoosa
County,
AL
22,020
12,476
20,906
5,636
17,738
Tuscaloosa
County,
AL
23,056
13,119
21,983
6,307
19,849
Walker
County,
AL
20,464
13,185
22,094
5,451
17,155
Washington
County,
AL
20,082
12,745
21,356
5,093
16,029
Wilcox
County,
AL
12,437
8,261
13,843
3,274
10,304
Winston
County,
AL
17,936
11,995
20,100
5,622
17,694
Alaska
$
41,408
$
25,414
$
42,586
$
11,817
$
37,191
Aleutians
East
Borough,
AK
42,384
NA
NA
NA
NA
Aleutians
West
Census
Area,
35,187
19,389
32,490
8,465
26,641
Anchorage
Borough,
AK
43,946
27,375
45,872
12,928
40,687
Bethel
Census
Area,
AK
25,402
13,656
22,883
4,468
14,062
Bristol
Bay
Borough,
AK
51,112
33,516
56,162
11,125
35,013
Dillingham
Census
Area,
AK
28,779
18,977
31,799
NA
NA
Fairbanks
North
Star
Borough
37,468
23,647
39,625
NA
NA
Haines
Borough,
AK
36,048
20,893
35,010
12,216
38,446
Juneau
Borough,
AK
47,924
30,834
51,668
13,841
43,561
Kenai
Peninsula
Borough,
AK
42,403
23,660
39,646
NA
NA
Ketchikan
Gateway
Borough,
A
45,172
27,015
45,268
NA
NA
Kobuk
Census
Area
NA
17,756
29,753
6,215
19,560
Kodiak
Island
Borough,
AK
44,815
26,421
44,273
NA
NA
Lake
and
Peninsula
Borough,
25,231
NA
NA
NA
NA
Matanuska­
Susitna
Borough,
A
40,745
23,483
39,350
9,155
28,813
Nome
Census
Area,
AK
30,144
14,550
24,381
6,875
21,637
North
Slope
Borough,
AK
50,473
31,378
52,579
NA
NA
March
12th,
2003
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157
5­
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­
County
Income
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Benefits
Meta­
Analysis
Literature
Review
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
A
B
C
D
E
F
Northwest
Arctic
Borough,
AK
33,313
NA
NA
NA
NA
Outer
Ketchikan
Census
Area
NA
18,964
31,778
8,125
25,571
Prince
of
Wales
Census
Area
NA
25,144
42,133
11,440
36,004
Prince
of
Wales­
Outer
Ketchi
39,495
21,947
36,776
NA
NA
Sitka
Borough,
AK
43,337
31,133
52,169
12,473
39,255
Skagway­
Yakutat­
Angoon
Censu
38,583
21,396
35,853
NA
NA
Southeast
Fairbanks
Census
A
30,222
15,903
26,648
9,239
29,077
Valdez­
Cordova
Census
Area,
47,500
27,469
46,029
NA
NA
Wade
Hampton
Census
Area,
AK
20,586
11,373
19,057
3,320
10,449
Wrangell­
Petersburg
Census
A
42,020
24,403
40,892
10,377
32,659
Yukon­
Koyukuk
Census
Area,
A
23,945
12,371
20,730
11,367
35,774
Arizona
$
27,540
$
16,448
$
27,562
$
8,199
$
25,804
Apache
County,
AZ
14,100
11,057
18,528
4,612
14,515
Cochise
County,
AZ
22,425
13,668
22,903
7,480
23,541
Coconino
County,
AZ
26,112
15,962
26,747
7,779
24,482
Gila
County,
AZ
20,964
13,828
23,171
7,021
22,097
Graham
County,
AZ
18,455
12,479
20,911
6,148
19,349
Greenlee
County,
AZ
27,491
21,396
35,853
9,589
30,179
La
Paz
County,
AZ
16,555
(
NA)
(
NA)
(
NA)
(
NA)

Maricopa
County,
AZ
30,797
17,728
29,706
8,770
27,601
Mohave
County,
AZ
24,002
14,160
23,728
8,393
26,415
Navajo
County,
AZ
19,452
13,593
22,777
5,979
18,817
Pima
County,
AZ
25,401
15,796
26,469
7,829
24,639
Pinal
County,
AZ
21,301
14,478
24,260
7,141
22,474
Santa
Cruz
County,
AZ
22,066
14,575
24,423
6,911
21,750
Yavapai
County,
AZ
22,060
13,076
21,911
6,249
19,667
Yuma
County,
AZ
23,635
13,589
22,771
7,349
23,129
0
Arkansas
$
21,147
$
12,214
$
20,467
$
5,356
16,856
Arkansas
County,
AR
19,516
12,189
20,425
5,541
17,439
Ashley
County,
AR
20,609
12,704
21,288
5,722
18,008
Baxter
County,
AR
18,826
11,432
19,156
4,513
14,203
Benton
County,
AR
26,021
13,930
23,342
5,719
17,999
Boone
County,
AR
20,656
11,336
18,995
4,959
15,607
Bradley
County,
AR
17,259
10,024
16,797
4,333
13,637
Calhoun
County,
AR
21,198
9,822
16,458
4,391
13,819
Carroll
County,
AR
20,623
10,898
18,262
4,618
14,534
Chicot
County,
AR
12,680
7,455
12,492
3,190
10,040
Clark
County,
AR
18,068
11,478
19,233
5,442
17,127
Clay
County,
AR
16,219
9,363
15,689
3,992
12,564
Cleburne
County,
AR
19,438
10,891
18,250
3,727
11,730
Cleveland
County,
AR
19,703
11,108
18,613
4,119
12,963
Columbia
County,
AR
18,470
11,354
19,026
4,938
15,541
Conway
County,
AR
20,538
11,681
19,574
4,856
15,283
Craighead
County,
AR
22,150
13,040
21,851
5,912
18,606
March
12th,
2003
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89
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157
5­
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­
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Income
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of
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Non­
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Benefits
Meta­
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Literature
Review
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
A
B
C
D
E
F
Crawford
County,
AR
21,574
12,932
21,670
5,263
16,564
Crittenden
County,
AR
20,948
11,687
19,584
5,060
15,925
Cross
County,
AR
19,049
12,171
20,395
5,294
16,661
Dallas
County,
AR
17,651
11,473
19,225
4,604
14,490
Desha
County,
AR
15,719
10,167
17,037
4,221
13,284
Drew
County,
AR
18,906
11,908
19,954
4,438
13,967
Faulkner
County,
AR
23,663
13,500
22,622
5,736
18,052
Franklin
County,
AR
18,408
11,465
19,212
4,709
14,820
Fulton
County,
AR
14,950
9,454
15,842
2,999
9,438
Garland
County,
AR
20,260
12,132
20,329
4,760
14,981
Grant
County,
AR
24,278
14,233
23,850
5,881
18,509
Greene
County,
AR
19,940
11,503
19,275
4,854
15,277
Hempstead
County,
AR
16,986
11,161
18,702
4,474
14,081
Hot
Spring
County,
AR
19,355
12,412
20,798
5,940
18,694
Howard
County,
AR
21,277
11,590
19,421
5,322
16,749
Independence
County,
AR
20,208
11,763
19,711
4,634
14,584
Izard
County,
AR
16,910
9,620
16,120
3,953
12,441
Jackson
County,
AR
16,641
10,960
18,365
4,681
14,732
Jefferson
County,
AR
21,322
12,761
21,383
5,754
18,109
Johnson
County,
AR
18,225
10,562
17,698
4,161
13,096
Lafayette
County,
AR
13,849
9,228
15,463
4,370
13,753
Lawrence
County,
AR
15,337
9,679
16,219
4,026
12,671
Lee
County,
AR
11,949
7,376
12,360
3,106
9,775
Lincoln
County,
AR
18,457
10,384
17,400
3,855
12,132
Little
River
County,
AR
21,791
13,516
22,648
5,532
17,410
Logan
County,
AR
18,992
10,023
16,795
4,350
13,690
Lonoke
County,
AR
23,831
13,493
22,610
5,064
15,937
Madison
County,
AR
18,392
10,171
17,043
3,755
11,818
Marion
County,
AR
17,220
9,935
16,648
3,708
11,670
Miller
County,
AR
20,232
12,518
20,976
5,965
18,773
Mississippi
County,
AR
18,522
11,207
18,779
4,972
15,648
Monroe
County,
AR
13,633
8,515
14,268
3,661
11,522
Montgomery
County,
AR
16,503
9,845
16,497
4,067
12,800
Nevada
County,
AR
18,919
10,380
17,394
3,904
12,287
Newton
County,
AR
15,139
7,849
13,152
2,899
9,124
Ouachita
County,
AR
21,056
11,312
18,955
5,119
16,111
Perry
County,
AR
17,626
11,483
19,242
3,881
12,214
Phillips
County,
AR
13,071
8,580
14,377
3,947
12,422
Pike
County,
AR
19,240
11,062
18,536
4,444
13,986
Poinsett
County,
AR
16,858
11,200
18,768
4,649
14,631
Polk
County,
AR
17,789
10,056
16,851
4,668
14,691
Pope
County,
AR
22,326
12,792
21,435
5,501
17,313
Prairie
County,
AR
17,044
10,089
16,906
4,309
13,561
Pulaski
County,
AR
26,883
15,652
26,228
7,285
22,927
Randolph
County,
AR
16,719
10,785
18,072
4,139
13,026
St.
Francis
County,
AR
15,029
9,653
16,175
4,551
14,323
Saline
County,
AR
28,262
17,536
29,385
7,205
22,676
March
12th,
2003
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Income
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Benefits
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Literature
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190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
A
B
C
D
E
F
Scott
County,
AR
16,470
9,109
15,264
4,265
13,423
Searcy
County,
AR
13,221
7,602
12,738
3,471
10,924
Sebastian
County,
AR
24,037
13,762
23,061
6,508
20,482
Sevier
County,
AR
19,208
11,992
20,095
5,336
16,794
Sharp
County,
AR
17,362
9,940
16,656
3,676
11,569
Stone
County,
AR
15,655
8,224
13,781
3,132
9,857
Union
County,
AR
21,041
12,016
20,135
5,814
18,298
Van
Buren
County,
AR
17,103
10,668
17,876
3,715
11,692
Washington
County,
AR
23,124
12,800
21,449
6,073
19,113
White
County,
AR
19,722
11,249
18,850
4,801
15,110
Woodruff
County,
AR
14,024
9,107
15,260
3,543
11,151
Yell
County,
AR
19,647
10,508
17,608
5,068
15,950
California
$
35,798
$
18,243
$
30,569
$
9,302
$
29,275
Alameda
County,
CA
37,544
18,700
31,335
9,485
29,851
Alpine
County,
CA
24,929
15,912
26,663
7,464
23,491
Amador
County,
CA
30,265
15,370
25,755
7,633
24,023
Butte
County,
CA
22,776
13,012
21,804
6,420
20,205
Calaveras
County,
CA
27,645
15,266
25,581
7,180
22,597
Colusa
County,
CA
24,912
15,379
25,770
7,296
22,962
Contra
Costa
County,
CA
45,087
22,870
38,323
11,606
36,526
Del
Norte
County,
CA
22,917
13,783
23,096
7,991
25,149
El
Dorado
County,
CA
35,058
17,513
29,346
8,271
26,031
Fresno
County,
CA
26,377
15,726
26,352
7,407
23,311
Glenn
County,
CA
22,831
14,664
24,572
7,311
23,009
Humboldt
County,
CA
23,586
14,774
24,756
8,021
25,244
Imperial
County,
CA
22,442
14,673
24,587
7,231
22,757
Inyo
County,
CA
24,386
14,572
24,418
8,567
26,962
Kern
County,
CA
28,634
16,358
27,411
7,905
24,879
Kings
County,
CA
25,507
14,518
24,327
6,694
21,067
Lake
County,
CA
21,794
11,172
18,721
5,266
16,573
Lassen
County,
CA
26,764
15,595
26,132
8,004
25,190
Los
Angeles
County,
CA
34,965
17,551
29,410
9,255
29,127
Madera
County,
CA
27,370
15,339
25,703
6,512
20,495
Marin
County,
CA
48,544
24,554
41,145
12,564
39,542
Mariposa
County,
CA
25,272
13,320
22,320
6,279
19,761
Mendocino
County,
CA
26,443
15,013
25,157
7,707
24,256
Merced
County,
CA
25,548
14,665
24,574
7,066
22,238
Modoc
County,
CA
22,029
13,394
22,444
7,335
23,085
Mono
County,
CA
31,924
16,930
28,369
9,366
29,477
Monterey
County,
CA
33,520
17,658
29,589
8,653
27,233
Napa
County,
CA
36,773
18,887
31,648
9,264
29,156
Nevada
County,
CA
32,200
16,125
27,020
7,078
22,276
Orange
County,
CA
45,922
22,557
37,798
11,381
35,818
Placer
County,
CA
37,601
18,685
31,310
8,671
27,289
Plumas
County,
CA
24,299
15,205
25,479
8,281
26,062
Riverside
County,
CA
33,081
16,037
26,873
7,748
24,385
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2003
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254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
A
B
C
D
E
F
Sacramento
County,
CA
32,297
17,390
29,140
9,325
29,348
San
Benito
County,
CA
36,473
16,998
28,483
7,756
24,410
San
Bernardino
County,
CA
33,443
17,463
29,262
8,346
26,267
San
Diego
County,
CA
35,022
17,106
28,664
8,861
27,887
San
Francisco
County,
CA
33,414
15,866
26,586
7,976
25,102
San
Joaquin
County,
CA
30,635
16,071
26,930
8,232
25,908
San
Luis
Obispo
County,
CA
31,164
14,805
24,808
7,225
22,739
San
Mateo
County,
CA
46,437
23,172
38,829
12,063
37,965
Santa
Barbara
County,
CA
35,677
17,962
30,098
8,925
28,089
Santa
Clara
County,
CA
48,115
23,369
39,159
11,534
36,300
Santa
Cruz
County,
CA
37,112
16,877
28,280
7,085
22,298
Shasta
County,
CA
25,581
14,699
24,631
8,104
25,505
Sierra
County,
CA
23,657
14,468
24,244
6,581
20,712
Siskiyou
County,
CA
21,921
14,472
24,250
7,789
24,514
Solano
County,
CA
39,113
19,264
32,280
8,933
28,114
Sonoma
County,
CA
36,299
17,732
29,713
8,096
25,480
Stanislaus
County,
CA
29,793
16,074
26,935
7,586
23,875
Sutter
County,
CA
27,096
15,683
26,280
8,210
25,839
Tehama
County,
CA
22,436
13,425
22,496
7,608
23,944
Trinity
County,
CA
20,494
14,175
23,753
7,751
24,394
Tulare
County,
CA
24,450
14,150
23,711
6,746
21,231
Tuolumne
County,
CA
27,030
14,178
23,758
7,929
24,954
Ventura
County,
CA
45,612
21,236
35,585
10,492
33,021
Yolo
County,
CA
28,866
15,398
25,802
8,164
25,694
Yuba
County,
CA
21,523
12,032
20,162
6,638
20,891
Colorado
$
30,140
$
18,056
$
30,256
$
8,423
$
26,509
Adams
County,
CO
30,522
19,511
32,694
9,954
31,327
Alamosa
County,
CO
20,265
11,945
20,016
6,348
19,978
Arapahoe
County,
CO
37,234
23,861
39,983
11,480
36,130
Archuleta
County,
CO
22,894
13,079
21,916
6,448
20,293
Baca
County,
CO
18,602
11,049
18,515
5,545
17,451
Bent
County,
CO
18,977
12,991
21,769
5,380
16,932
Boulder
County,
CO
35,322
19,774
33,135
9,637
30,330
Chaffee
County,
CO
21,174
15,204
25,477
7,098
22,339
Cheyenne
County,
CO
24,341
11,733
19,661
6,139
19,321
Clear
Creek
County,
CO
33,149
21,110
35,374
8,859
27,881
Conejos
County,
CO
14,188
9,167
15,361
4,210
13,250
Costilla
County,
CO
13,057
7,358
12,330
4,286
13,489
Crowley
County,
CO
16,088
9,974
16,713
5,226
16,447
Custer
County,
CO
20,000
12,106
20,286
4,371
13,756
Delta
County,
CO
18,532
11,377
19,064
4,831
15,204
Denver
County,
CO
25,106
15,506
25,983
7,914
24,907
Dolores
County,
CO
19,952
13,164
22,059
6,915
21,763
Douglas
County,
CO
51,718
28,380
47,556
10,209
32,130
Eagle
County,
CO
36,931
21,336
35,752
8,233
25,911
El
Paso
County,
CO
29,604
16,236
27,206
8,210
25,839
March
12th,
2003
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Literature
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285
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292
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301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
A
B
C
D
E
F
Elbert
County,
CO
36,273
18,148
30,410
5,737
18,056
Fremont
County,
CO
19,988
12,992
21,770
5,387
16,954
Garfield
County,
CO
29,176
18,692
31,322
7,430
23,384
Gilpin
County,
CO
31,898
19,436
32,568
6,021
18,949
Grand
County,
CO
29,991
18,538
31,064
8,094
25,474
Gunnison
County,
CO
23,013
15,313
25,660
6,345
19,969
Hinsdale
County,
CO
26,250
15,484
25,946
9,250
29,112
Huerfano
County,
CO
14,730
10,285
17,234
4,986
15,692
Jackson
County,
CO
20,938
16,853
28,240
9,635
30,323
Jefferson
County,
CO
39,084
24,044
40,290
11,606
36,526
Kiowa
County,
CO
21,417
13,596
22,782
6,125
19,277
Kit
Carson
County,
CO
23,125
13,707
22,968
6,587
20,731
LaPlata
County,
CO
25,759
15,246
25,547
6,568
20,671
Lake
County,
CO
24,708
22,204
37,207
8,458
26,619
Larimer
County,
CO
29,686
17,169
28,770
7,636
24,032
Las
Animas
County,
CO
16,286
11,229
18,816
4,805
15,122
Lincoln
County,
CO
20,595
12,808
21,462
6,641
20,901
Logan
County,
CO
22,065
15,289
25,619
7,184
22,610
Mesa
County,
CO
23,698
16,592
27,803
6,866
21,609
Mineral
County,
CO
19,830
15,259
25,569
8,929
28,101
Moffat
County,
CO
31,615
21,176
35,484
7,128
22,433
Montezuma
County,
CO
22,491
13,971
23,411
6,416
20,192
Montrose
County,
CO
22,610
15,273
25,593
6,451
20,303
Morgan
County,
CO
22,849
15,004
25,142
6,532
20,558
Otero
County,
CO
18,178
11,600
19,438
5,778
18,185
Ouray
County,
CO
27,500
14,229
23,843
6,569
20,674
Park
County,
CO
32,102
18,051
30,248
6,401
20,145
Phillips
County,
CO
21,484
12,531
20,998
6,255
19,686
Pitkin
County,
CO
39,991
20,979
35,154
10,746
33,820
Prowers
County,
CO
20,625
12,762
21,385
5,683
17,886
Pueblo
County,
CO
21,553
15,479
25,938
7,466
23,497
Rio
Blanco
County,
CO
29,243
20,853
34,943
7,195
22,644
Rio
Grande
County,
CO
19,193
13,016
21,811
6,094
19,179
Routt
County,
CO
31,409
21,487
36,005
6,647
20,919
Saguache
County,
CO
15,853
9,862
16,526
4,118
12,960
San
Juan
County,
CO
26,167
14,688
24,612
8,481
26,691
San
Miguel
County,
CO
30,578
13,601
22,791
6,405
20,158
Sedgwick
County,
CO
19,335
12,867
21,561
6,780
21,338
Summit
County,
CO
35,229
21,410
35,876
9,456
29,760
Teller
County,
CO
32,209
16,882
28,289
6,547
20,605
Washington
County,
CO
20,637
13,648
22,870
5,917
18,622
Weld
County,
CO
25,642
15,805
26,484
7,338
23,094
Yuma
County,
CO
22,249
11,832
19,827
5,688
17,901
Connecticut
$
41,721
$
20,077
$
33,643
$
10,877
$
34,232
Fairfield
County,
CT
49,891
22,961
38,475
11,960
37,641
Hartford
County,
CT
40,609
20,140
33,748
11,088
34,896
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12th,
2003
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Income
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Benefits
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Literature
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331
332
333
334
335
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337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
A
B
C
D
E
F
Litchfield
County,
CT
42,565
19,813
33,200
10,273
32,331
Middlesex
County,
CT
43,212
20,345
34,092
10,775
33,911
New
Haven
County,
CT
38,471
18,424
30,873
10,264
32,303
New
London
County,
CT
37,488
18,125
30,372
9,543
30,034
Tolland
County,
CT
45,019
21,305
35,700
11,338
35,683
Windham
County,
CT
33,851
16,185
27,121
8,987
28,284
Delaware
$
34,875
$
17,846
$
29,904
$
9,309
$
29,297
Kent
County,
DE
29,497
15,342
25,708
7,735
24,344
New
Castle
County,
DE
38,617
19,656
32,937
10,092
31,762
Sussex
County,
DE
26,904
14,483
24,269
7,208
22,685
Florida
$
27,483
$
14,675
$
24,591
$
7,168
$
22,559
Alachua
County,
FL
22,084
12,354
20,701
7,058
22,213
Baker
County,
FL
25,816
14,391
24,115
6,691
21,058
Bay
County,
FL
24,684
13,271
22,238
6,700
21,086
Bradford
County,
FL
24,625
11,816
19,800
6,249
19,667
Brevard
County,
FL
30,534
16,858
28,249
10,413
32,772
Broward
County,
FL
30,571
16,580
27,783
8,409
26,465
Calhoun
County,
FL
18,615
10,657
17,858
4,153
13,070
Charlotte
County,
FL
25,746
13,190
22,102
5,362
16,875
Citrus
County,
FL
21,285
11,258
18,865
4,806
15,125
Clay
County,
FL
34,860
18,407
30,844
7,591
23,890
Collier
County,
FL
34,001
16,620
27,850
8,135
25,603
Columbia
County,
FL
21,961
12,794
21,439
6,427
20,227
Dade
County,
FL
26,909
15,571
26,092
7,967
25,074
DeSoto
County,
FL
20,962
11,292
18,922
5,434
17,102
Dixie
County,
FL
15,380
9,631
16,138
5,062
15,931
Duval
County,
FL
28,513
14,938
25,031
7,611
23,953
Escambia
County,
FL
25,158
14,442
24,200
7,303
22,984
Flagler
County,
FL
28,628
14,562
24,401
4,732
14,893
Franklin
County,
FL
17,247
9,444
15,825
3,809
11,988
Gadsden
County,
FL
19,985
11,110
18,617
4,709
14,820
Gilchrist
County,
FL
20,632
10,778
18,060
5,305
16,696
Glades
County,
FL
20,687
10,074
16,881
5,306
16,699
Gulf
County,
FL
21,866
12,089
20,257
6,307
19,849
Hamilton
County,
FL
18,709
10,565
17,704
4,576
14,402
Hardee
County,
FL
22,065
12,028
20,155
5,254
16,535
Hendry
County,
FL
24,904
14,565
24,406
6,419
20,202
Hernando
County,
FL
22,741
12,366
20,721
5,080
15,988
Highlands
County,
FL
21,146
11,283
18,907
4,978
15,667
Hillsborough
County,
FL
28,477
14,868
24,914
7,100
22,345
Holmes
County,
FL
17,241
9,880
16,556
4,103
12,913
Indian
River
County,
FL
28,961
15,101
25,304
6,415
20,189
Jackson
County,
FL
19,471
10,636
17,822
4,419
13,908
Jefferson
County,
FL
21,782
9,786
16,398
4,663
14,675
Lafayette
County,
FL
20,744
11,090
18,583
4,590
14,446
March
12th,
2003
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Benefits
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Analysis
Literature
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378
379
380
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382
383
384
385
386
387
388
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390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
A
B
C
D
E
F
Lake
County,
FL
23,395
12,489
20,928
5,479
17,244
Lee
County,
FL
28,448
14,612
24,485
6,973
21,945
Leon
County,
FL
27,323
14,369
24,078
7,530
23,698
Levy
County,
FL
18,807
10,686
17,906
4,872
15,333
Liberty
County,
FL
22,253
10,541
17,663
5,167
16,262
Madison
County,
FL
18,153
10,169
17,040
4,572
14,389
Manatee
County,
FL
25,951
13,568
22,736
5,439
17,118
Marion
County,
FL
22,452
11,797
19,768
5,651
17,785
Martin
County,
FL
31,760
15,749
26,390
6,042
19,015
Monroe
County,
FL
29,351
13,713
22,979
6,655
20,945
Nassau
County,
FL
30,233
16,948
28,399
7,369
23,192
Okaloosa
County,
FL
27,941
15,151
25,388
7,486
23,560
Okeechobee
County,
FL
21,427
12,074
20,232
5,902
18,575
Orange
County,
FL
30,252
15,298
25,634
7,838
24,668
Osceola
County,
FL
27,260
12,984
21,757
5,154
16,221
Palm
Beach
County,
FL
32,524
16,665
27,925
7,771
24,457
Pasco
County,
FL
21,480
11,645
19,513
4,482
14,106
Pinellas
County,
FL
26,296
13,404
22,461
6,235
19,623
Polk
County,
FL
25,216
14,248
23,875
6,566
20,665
Putnam
County,
FL
20,155
11,438
19,166
5,817
18,307
St.
Johns
County,
FL
29,926
14,213
23,816
5,507
17,332
St.
Lucie
County,
FL
27,710
13,878
23,255
5,529
17,401
Santa
Rosa
County,
FL
27,584
15,085
25,278
7,041
22,159
Sarasota
County,
FL
29,919
15,069
25,251
6,525
20,536
Seminole
County,
FL
35,637
18,289
30,646
7,940
24,989
Sumter
County,
FL
19,584
11,232
18,821
4,883
15,368
Suwannee
County,
FL
19,775
10,964
18,372
4,852
15,270
Taylor
County,
FL
21,380
12,285
20,586
5,958
18,751
Union
County,
FL
22,831
12,321
20,646
5,909
18,597
Volusia
County,
FL
24,818
12,393
20,767
5,725
18,018
Wakulla
County,
FL
25,019
12,158
20,373
5,234
16,472
Walton
County,
FL
21,297
10,687
17,908
4,863
15,305
Washington
County,
FL
18,266
10,028
16,804
3,867
12,170
Georgia
$
29,021
$
15,033
$
25,190
$
7,346
$
23,119
Appling
County,
GA
22,271
10,675
17,888
4,850
15,264
Atkinson
County,
GA
17,685
9,397
15,746
3,942
12,406
Bacon
County,
GA
19,118
10,942
18,335
4,520
14,225
Baker
County,
GA
18,489
10,928
18,312
3,629
11,421
Baldwin
County,
GA
25,513
14,831
24,852
7,238
22,779
Banks
County,
GA
24,220
13,237
22,181
5,557
17,489
Barrow
County,
GA
27,538
14,060
23,560
6,543
20,592
Bartow
County,
GA
27,554
14,493
24,286
7,337
23,091
Ben
Hill
County,
GA
19,106
10,589
17,744
4,775
15,028
Berrien
County,
GA
20,979
12,212
20,463
4,951
15,582
Bibb
County,
GA
25,813
14,355
24,054
7,061
22,222
Bleckley
County,
GA
22,690
13,655
22,881
5,700
17,939
March
12th,
2003
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95
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Income
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Availability:
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Benefits
Meta­
Analysis
Literature
Review
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
A
B
C
D
E
F
Brantley
County,
GA
22,087
12,597
21,108
5,839
18,377
Brooks
County,
GA
19,474
9,495
15,911
4,093
12,882
Bryan
County,
GA
28,623
13,628
22,836
6,063
19,082
Bulloch
County,
GA
20,640
12,479
20,911
5,823
18,326
Burke
County,
GA
17,667
10,568
17,709
3,679
11,579
Butts
County,
GA
24,420
13,939
23,357
6,237
19,629
Calhoun
County,
GA
15,640
10,132
16,978
3,565
11,220
Camden
County,
GA
28,212
13,480
22,588
7,726
24,315
Candler
County,
GA
19,375
9,892
16,576
4,598
14,471
Carroll
County,
GA
25,607
13,981
23,428
6,700
21,086
Catoosa
County,
GA
25,581
16,017
26,839
7,958
25,045
Charlton
County,
GA
22,328
13,156
22,045
5,069
15,953
Chatham
County,
GA
26,721
14,242
23,865
7,181
22,600
Chattahoochee
County,
GA
25,305
13,465
22,563
7,173
22,575
Chattooga
County,
GA
20,335
12,908
21,630
6,653
20,938
Cherokee
County,
GA
39,052
17,715
29,685
7,260
22,849
Clarke
County,
GA
20,806
12,381
20,747
6,820
21,464
Clay
County,
GA
13,709
7,333
12,288
2,883
9,073
Clayton
County,
GA
33,472
19,960
33,446
10,722
33,744
Clinch
County,
GA
18,098
10,992
18,419
5,539
17,432
Cobb
County,
GA
41,297
21,420
35,893
10,896
34,292
Coffee
County,
GA
20,651
10,845
18,173
5,412
17,033
Colquitt
County,
GA
20,331
11,872
19,894
5,483
17,256
Columbia
County,
GA
40,122
18,353
30,754
7,466
23,497
Cook
County,
GA
19,858
11,767
19,718
5,613
17,665
Coweta
County,
GA
31,925
15,329
25,686
6,814
21,445
Crawford
County,
GA
25,799
14,720
24,666
4,642
14,609
Crisp
County,
GA
17,797
11,672
19,558
5,376
16,919
Dade
County,
GA
20,176
13,116
21,978
6,028
18,971
Dawson
County,
GA
28,380
12,236
20,504
5,803
18,263
Decatur
County,
GA
20,854
11,854
19,863
4,756
14,968
DeKalb
County,
GA
35,721
19,861
33,281
11,494
36,174
Dodge
County,
GA
18,244
10,483
17,566
4,645
14,619
Dooly
County,
GA
16,326
10,316
17,286
3,958
12,457
Dougherty
County,
GA
23,587
15,276
25,598
7,057
22,210
Douglas
County,
GA
37,138
20,059
33,612
8,705
27,396
Early
County,
GA
16,421
9,943
16,661
4,166
13,111
Echols
County,
GA
21,574
11,536
19,331
4,810
15,138
Effingham
County,
GA
29,443
15,567
26,085
7,112
22,383
Elbert
County,
GA
20,501
12,123
20,314
5,563
17,508
Emanuel
County,
GA
17,891
10,600
17,762
4,759
14,978
Evans
County,
GA
19,972
10,863
18,203
4,479
14,096
Fannin
County,
GA
19,023
9,925
16,631
5,219
16,425
Fayette
County,
GA
50,167
25,586
42,874
8,506
26,770
Floyd
County,
GA
25,536
14,674
24,589
7,297
22,965
Forsyth
County,
GA
36,642
16,845
28,227
6,826
21,483
Franklin
County,
GA
21,663
11,716
19,632
5,676
17,864
March
12th,
2003
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96
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Income
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Availability:
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Benefits
Meta­
Analysis
Literature
Review
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
A
B
C
D
E
F
Fulton
County,
GA
29,978
13,988
23,439
8,120
25,555
Gilmer
County,
GA
21,410
11,205
18,776
5,025
15,815
Glascock
County,
GA
21,806
11,567
19,383
4,451
14,008
Glynn
County,
GA
27,887
15,109
25,318
7,158
22,528
Gordon
County,
GA
26,981
14,078
23,590
7,108
22,370
Grady
County,
GA
19,507
10,654
17,853
4,673
14,707
Greene
County,
GA
20,264
10,813
18,119
5,035
15,846
Gwinnett
County,
GA
43,518
22,572
37,823
9,064
28,526
Habersham
County,
GA
24,386
12,701
21,283
6,372
20,054
Hall
County,
GA
29,774
15,838
26,539
7,068
22,244
Hancock
County,
GA
17,825
9,811
16,440
4,278
13,464
Haralson
County,
GA
22,775
12,956
21,710
6,447
20,290
Harris
County,
GA
27,616
15,253
25,559
5,748
18,090
Hart
County,
GA
24,333
12,201
20,445
5,973
18,798
Heard
County,
GA
21,513
12,738
21,345
5,801
18,257
Henry
County,
GA
37,550
18,893
31,659
7,516
23,654
Houston
County,
GA
31,229
18,598
31,164
8,955
28,183
Irwin
County,
GA
20,169
10,675
17,888
4,345
13,675
Jackson
County,
GA
25,418
13,479
22,586
6,548
20,608
Jasper
County,
GA
25,736
12,789
21,430
4,492
14,137
Jeff
Davis
County,
GA
21,470
13,137
22,013
5,404
17,008
Jefferson
County,
GA
17,076
9,638
16,150
4,633
14,581
Jenkins
County,
GA
16,967
9,115
15,274
4,281
13,473
Johnson
County,
GA
18,064
10,574
17,719
4,380
13,785
Jones
County,
GA
31,934
16,553
27,737
7,331
23,072
Lamar
County,
GA
23,336
13,543
22,694
6,391
20,114
Lanier
County,
GA
17,618
10,313
17,281
5,087
16,010
Laurens
County,
GA
21,788
12,378
20,742
5,307
16,702
Lee
County,
GA
30,974
17,759
29,758
5,820
18,317
Liberty
County,
GA
21,596
11,675
19,564
5,380
16,932
Lincoln
County,
GA
21,472
13,301
22,288
4,892
15,396
Long
County,
GA
18,802
10,881
18,233
4,706
14,811
Lowndes
County,
GA
23,295
12,760
21,382
6,167
19,409
Lumpkin
County,
GA
26,116
12,140
20,343
6,081
19,138
McDuffie
County,
GA
21,292
12,328
20,658
6,384
20,092
McIntosh
County,
GA
19,182
10,273
17,214
4,967
15,632
Macon
County,
GA
17,526
10,223
17,130
4,456
14,024
Madison
County,
GA
25,092
12,790
21,432
6,554
20,627
Marion
County,
GA
18,343
10,600
17,762
4,896
15,409
Meriwether
County,
GA
20,212
12,204
20,450
5,536
17,423
Miller
County,
GA
20,488
10,729
17,978
3,916
12,324
Mitchell
County,
GA
18,926
11,692
19,592
4,797
15,097
Monroe
County,
GA
27,770
14,067
23,572
6,878
21,646
Montgomery
County,
GA
20,054
10,156
17,018
4,704
14,804
Morgan
County,
GA
26,018
12,976
21,744
4,779
15,041
Murray
County,
GA
26,517
14,761
24,735
7,104
22,358
Muscogee
County,
GA
24,056
13,343
22,359
7,097
22,336
March
12th,
2003
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97
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Income
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Availability:
Non­
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Benefits
Meta­
Analysis
Literature
Review
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
A
B
C
D
E
F
Newton
County,
GA
27,992
15,516
26,000
7,067
22,241
Oconee
County,
GA
34,566
17,236
28,882
6,433
20,246
Oglethorpe
County,
GA
24,667
12,937
21,678
5,359
16,866
Paulding
County,
GA
33,085
15,427
25,851
6,930
21,810
Peach
County,
GA
25,604
12,859
21,548
6,811
21,436
Pickens
County,
GA
25,248
12,515
20,971
6,410
20,174
Pierce
County,
GA
20,499
11,682
19,575
5,752
18,103
Pike
County,
GA
27,733
15,308
25,651
5,844
18,392
Polk
County,
GA
22,326
12,997
21,779
6,439
20,265
Pulaski
County,
GA
21,376
12,125
20,318
4,937
15,538
Putnam
County,
GA
24,325
13,874
23,248
7,110
22,377
Quitman
County,
GA
15,972
8,314
13,932
3,408
10,726
Rabun
County,
GA
21,177
11,536
19,331
5,294
16,661
Randolph
County,
GA
13,972
8,975
15,039
3,313
10,427
Richmond
County,
GA
25,265
13,635
22,848
7,046
22,175
Rockdale
County,
GA
39,389
20,845
34,929
8,276
26,046
Schley
County,
GA
21,417
11,496
19,264
4,297
13,524
Screven
County,
GA
20,531
9,410
15,768
4,015
12,636
Seminole
County,
GA
18,438
11,064
18,540
5,338
16,800
Spalding
County,
GA
25,634
13,598
22,786
6,995
22,015
Stephens
County,
GA
22,204
12,579
21,078
6,438
20,262
Stewart
County,
GA
15,606
8,308
13,922
4,070
12,809
Sumter
County,
GA
20,957
11,965
20,049
5,561
17,502
Talbot
County,
GA
20,489
11,964
20,048
4,634
14,584
Taliaferro
County,
GA
14,700
8,879
14,878
3,690
11,613
Tattnall
County,
GA
20,293
9,482
15,889
4,681
14,732
Taylor
County,
GA
16,210
11,460
19,203
4,946
15,566
Telfair
County,
GA
16,573
10,003
16,762
4,440
13,974
Terrell
County,
GA
18,036
10,636
17,822
4,388
13,810
Thomas
County,
GA
20,901
12,377
20,740
5,546
17,454
Tift
County,
GA
22,421
12,068
20,222
5,844
18,392
Toombs
County,
GA
19,473
10,812
18,117
5,257
16,545
Towns
County,
GA
19,356
9,480
15,885
4,211
13,253
Treutlen
County,
GA
17,391
10,274
17,216
4,337
13,649
Troup
County,
GA
24,788
13,033
21,839
6,189
19,478
Turner
County,
GA
17,766
10,850
18,181
4,911
15,456
Twiggs
County,
GA
19,213
12,817
21,477
4,964
15,623
Union
County,
GA
20,275
9,242
15,487
4,206
13,237
Upson
County,
GA
22,747
12,890
21,599
6,782
21,344
Walker
County,
GA
24,068
13,968
23,406
7,399
23,286
Walton
County,
GA
28,198
13,809
23,139
6,957
21,895
Ware
County,
GA
20,426
11,938
20,004
6,101
19,201
Warren
County,
GA
17,284
10,572
17,715
4,832
15,207
Washington
County,
GA
21,460
11,335
18,994
4,542
14,295
Wayne
County,
GA
23,311
12,120
20,309
6,143
19,333
Webster
County,
GA
19,028
9,702
16,257
4,029
12,680
Wheeler
County,
GA
16,585
8,511
14,262
4,266
13,426
March
12th,
2003
Page
98
of
157
5­
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County
Income
Record
for
the
316(
b)
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of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
A
B
C
D
E
F
White
County,
GA
24,234
12,868
21,563
5,547
17,458
Whitfield
County,
GA
27,797
16,148
27,059
7,587
23,878
Wilcox
County,
GA
16,333
10,680
17,896
4,098
12,897
Wilkes
County,
GA
18,629
11,367
19,047
4,960
15,610
Wilkinson
County,
GA
25,166
13,953
23,381
5,706
17,958
Worth
County,
GA
21,312
13,031
21,836
4,780
15,044
Hawaii
$
38,829
$
20,473
$
34,306
$
10,675
$
33,596
Hawaii
County,
HI
29,712
16,975
28,445
8,836
27,809
Honolulu
County,
HI
40,581
21,077
35,318
11,148
35,085
Kalawao
County,
HI
10,000
5,750
9,635
(
a)
(
a)

Kauai
County,
HI
37,425
19,066
31,948
8,990
28,293
Maui
County,
HI
38,771
20,237
33,911
8,678
27,311
Idaho
$
25,257
$
15,285
$
25,613
$
7,482
$
23,547
Ada
County,
ID
30,246
17,510
29,341
8,554
26,921
Adams
County,
ID
22,455
14,785
24,775
7,257
22,839
Bannock
County,
ID
26,275
17,458
29,254
7,877
24,791
Bear
Lake
County,
ID
21,646
15,598
26,137
6,975
21,952
Benewah
County,
ID
21,508
16,975
28,445
7,212
22,698
Bingham
County,
ID
25,158
15,357
25,733
7,819
24,608
Blaine
County,
ID
31,199
14,608
24,478
7,572
23,831
Boise
County,
ID
26,048
15,527
26,018
7,632
24,019
Bonner
County,
ID
21,465
12,201
20,445
6,359
20,013
Bonneville
County,
ID
30,462
18,167
30,442
8,952
28,174
Boundary
County,
ID
21,662
12,459
20,877
6,771
21,310
Butte
County,
ID
26,292
13,590
22,772
8,090
25,461
Camas
County,
ID
24,440
13,199
22,117
9,009
28,353
Canyon
County,
ID
22,979
13,831
23,176
6,716
21,137
Caribou
County,
ID
29,979
17,685
29,634
8,508
26,776
Cassia
County,
ID
23,381
13,740
23,024
6,964
21,917
Clark
County,
ID
24,583
11,463
19,208
7,857
24,728
Clearwater
County,
ID
23,925
17,269
28,937
9,152
28,803
Custer
County,
ID
24,393
11,746
19,682
6,108
19,223
Elmore
County,
ID
23,750
13,347
22,365
6,860
21,590
Franklin
County,
ID
25,446
14,435
24,188
5,921
18,635
Fremont
County,
ID
23,498
13,204
22,126
7,012
22,068
Gem
County,
ID
21,495
13,345
22,362
6,378
20,073
Gooding
County,
ID
19,823
12,060
20,209
5,745
18,081
Idaho
County,
ID
22,093
14,483
24,269
7,153
22,512
Jefferson
County,
ID
24,421
14,176
23,754
6,581
20,712
Jerome
County,
ID
21,209
13,783
23,096
5,659
17,810
Kootenai
County,
ID
25,593
15,154
25,393
7,412
23,327
Latah
County,
ID
22,635
14,025
23,501
7,286
22,931
Lemhi
County,
ID
19,697
12,512
20,966
5,955
18,742
Lewis
County,
ID
20,926
14,145
23,702
8,423
26,509
Lincoln
County,
ID
21,640
12,007
20,120
6,230
19,607
March
12th,
2003
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Income
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Availability:
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Benefits
Meta­
Analysis
Literature
Review
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
A
B
C
D
E
F
Madison
County,
ID
23,000
13,039
21,849
7,277
22,902
Minidoka
County,
ID
23,327
14,652
24,552
6,898
21,709
Nez
Perce
County,
ID
25,219
15,862
26,580
7,724
24,309
Oneida
County,
ID
22,582
11,460
19,203
5,628
17,712
Owyhee
County,
ID
18,595
10,583
17,734
4,936
15,535
Payette
County,
ID
20,367
11,654
19,528
5,944
18,707
Power
County,
ID
24,771
15,684
26,281
8,169
25,710
Shoshone
County,
ID
20,980
16,879
28,284
7,971
25,086
Teton
County,
ID
22,799
11,565
19,379
5,207
16,388
Twin
Falls
County,
ID
23,520
14,529
24,346
6,768
21,300
Valley
County,
ID
24,232
15,802
26,479
7,818
24,605
Washington
County,
ID
17,917
10,833
18,153
5,351
16,841
Illinois
$
32,252
$
19,321
$
32,376
$
9,706
$
30,547
Adams
County,
IL
23,317
15,426
25,849
7,511
23,639
Alexander
County,
IL
14,786
9,569
16,035
3,738
11,764
Bond
County,
IL
23,756
14,197
23,790
6,669
20,989
Boone
County,
IL
35,103
20,729
34,735
10,101
31,790
Brown
County,
IL
20,445
11,826
19,817
4,930
15,516
Bureau
County,
IL
26,248
17,311
29,008
7,976
25,102
Calhoun
County,
IL
21,163
12,440
20,845
5,792
18,229
Carroll
County,
IL
25,758
15,744
26,382
7,926
24,945
Cass
County,
IL
23,642
16,253
27,235
6,442
20,274
Champaign
County,
IL
26,541
16,436
27,541
8,821
27,762
Christian
County,
IL
24,506
15,915
26,668
7,127
22,430
Clark
County,
IL
23,281
14,077
23,588
6,581
20,712
Clay
County,
IL
20,006
12,156
20,370
5,981
18,823
Clinton
County,
IL
29,890
16,907
28,331
7,541
23,733
Coles
County,
IL
24,153
15,108
25,316
7,283
22,921
Cook
County,
IL
32,673
19,187
32,151
10,232
32,202
Crawford
County,
IL
23,912
15,595
26,132
7,168
22,559
Cumberland
County,
IL
23,623
14,612
24,485
6,501
20,460
DeKalb
County,
IL
30,864
18,345
30,740
9,533
30,002
De
Witt
County,
IL
27,196
17,630
29,542
7,960
25,052
Douglas
County,
IL
26,758
18,014
30,186
8,137
25,609
DuPage
County,
IL
48,876
27,509
46,096
13,832
43,532
Edgar
County,
IL
21,657
13,888
23,272
6,781
21,341
Edwards
County,
IL
21,238
13,761
23,059
5,544
17,448
Effingham
County,
IL
27,245
16,982
28,456
6,710
21,118
Fayette
County,
IL
22,029
13,510
22,638
6,221
19,579
Ford
County,
IL
25,801
16,989
28,468
8,021
25,244
Franklin
County,
IL
18,698
12,627
21,159
5,079
15,985
Fulton
County,
IL
21,701
16,331
27,365
7,389
23,255
Gallatin
County,
IL
19,105
12,032
20,162
5,566
17,517
Greene
County,
IL
20,752
12,796
21,442
6,076
19,122
Grundy
County,
IL
35,728
21,678
36,325
10,027
31,557
Hamilton
County,
IL
18,274
11,582
19,408
4,419
13,908
March
12th,
2003
Page
100
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County
Income
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Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
A
B
C
D
E
F
Hancock
County,
IL
24,036
15,147
25,381
6,547
20,605
Hardin
County,
IL
15,498
10,398
17,424
4,928
15,509
Henderson
County,
IL
22,165
15,975
26,769
7,513
23,645
Henry
County,
IL
26,198
18,947
31,749
8,512
26,789
Iroquois
County,
IL
25,435
16,382
27,451
7,629
24,010
Jackson
County,
IL
17,567
11,765
19,714
6,290
19,796
Jasper
County,
IL
22,751
14,614
24,488
6,357
20,007
Jefferson
County,
IL
22,397
14,759
24,731
5,981
18,823
Jersey
County,
IL
27,126
17,342
29,060
7,749
24,388
Jo
Daviess
County,
IL
26,882
16,800
28,151
7,601
23,922
Johnson
County,
IL
21,953
12,434
20,835
5,646
17,769
Kane
County,
IL
40,080
22,102
37,036
11,150
35,091
Kankakee
County,
IL
28,284
17,382
29,127
9,269
29,171
Kendall
County,
IL
42,834
24,513
41,076
11,653
36,674
Knox
County,
IL
24,523
17,084
28,627
8,302
26,128
Lake
County,
IL
46,047
25,210
42,244
12,200
38,396
La
Salle
County,
IL
27,093
18,593
31,156
8,820
27,758
Lawrence
County,
IL
19,688
14,040
23,526
6,091
19,170
Lee
County,
IL
28,284
18,545
31,075
8,588
27,028
Livingston
County,
IL
29,848
19,260
32,274
8,505
26,767
Logan
County,
IL
27,528
17,194
28,812
7,801
24,551
McDonough
County,
IL
21,774
14,119
23,659
7,182
22,603
McHenry
County,
IL
43,471
23,473
39,333
11,246
35,394
McLean
County,
IL
31,366
18,545
31,075
8,906
28,029
Macon
County,
IL
28,598
18,682
31,305
9,117
28,693
Macoupin
County,
IL
23,913
15,578
26,104
6,785
21,354
Madison
County,
IL
29,861
18,364
30,772
9,302
29,275
Marion
County,
IL
22,813
14,534
24,354
6,357
20,007
Marshall
County,
IL
26,450
18,392
30,819
8,188
25,769
Mason
County,
IL
22,434
16,660
27,917
7,224
22,735
Massac
County,
IL
19,632
13,144
22,025
5,894
18,550
Menard
County,
IL
29,326
18,832
31,556
6,984
21,980
Mercer
County,
IL
26,606
17,950
30,078
7,627
24,004
Monroe
County,
IL
35,086
20,057
33,609
8,618
27,123
Montgomery
County,
IL
23,879
14,814
24,823
6,175
19,434
Morgan
County,
IL
26,403
16,208
27,159
7,909
24,891
Moultrie
County,
IL
26,852
17,339
29,055
7,790
24,517
Ogle
County,
IL
30,958
19,170
32,123
9,164
28,841
Peoria
County,
IL
28,193
19,399
32,506
9,353
29,436
Perry
County,
IL
22,979
16,218
27,176
6,371
20,051
Piatt
County,
IL
31,369
19,428
32,555
8,531
26,849
Pike
County,
IL
20,527
12,392
20,765
5,927
18,654
Pope
County,
IL
19,031
11,992
20,095
3,887
12,233
Pulaski
County,
IL
15,625
9,424
15,792
3,571
11,239
Putnam
County,
IL
30,136
20,216
33,875
8,135
25,603
Randolph
County,
IL
25,859
17,660
29,592
7,626
24,001
Richland
County,
IL
23,013
14,425
24,172
6,076
19,122
March
12th,
2003
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101
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Income
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Availability:
Non­
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Benefits
Meta­
Analysis
Literature
Review
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
A
B
C
D
E
F
Rock
Island
County,
IL
26,803
19,942
33,416
9,505
29,914
St.
Clair
County,
IL
26,813
16,119
27,010
8,425
26,515
Saline
County,
IL
18,349
12,396
20,772
4,987
15,695
Sangamon
County,
IL
30,350
18,085
30,305
8,900
28,010
Schuyler
County,
IL
21,080
14,202
23,798
6,222
19,582
Scott
County,
IL
23,642
14,693
24,621
6,620
20,835
Shelby
County,
IL
26,040
15,890
26,626
6,586
20,728
Stark
County,
IL
25,130
17,182
28,791
7,280
22,912
Stephenson
County,
IL
28,340
17,615
29,517
8,652
27,230
Tazewell
County,
IL
30,933
21,146
35,434
10,095
31,771
Union
County,
IL
20,173
13,520
22,655
5,816
18,304
Vermilion
County,
IL
23,841
16,193
27,134
8,155
25,665
Wabash
County,
IL
26,021
16,316
27,340
6,747
21,234
Warren
County,
IL
22,259
15,959
26,742
7,094
22,326
Washington
County,
IL
25,387
15,656
26,234
6,458
20,325
Wayne
County,
IL
20,659
13,005
21,792
5,780
18,191
White
County,
IL
20,662
13,824
23,165
5,896
18,556
Whiteside
County,
IL
27,085
20,111
33,700
8,810
27,727
Will
County,
IL
41,195
23,329
39,092
11,282
35,507
Williamson
County,
IL
22,043
14,305
23,971
6,056
19,059
Winnebago
County,
IL
31,336
20,213
33,870
10,142
31,919
Woodford
County,
IL
34,375
21,231
35,576
9,159
28,825
Indiana
$
28,797
$
17,582
$
29,462
$
8,921
$
28,076
Adams
County,
IN
28,792
17,586
29,468
8,701
27,384
Allen
County,
IN
31,835
19,090
31,989
9,911
31,192
Bartholomew
County,
IN
30,971
19,504
32,682
9,276
29,194
Benton
County,
IN
26,860
16,529
27,697
8,575
26,987
Blackford
County,
IN
25,523
15,686
26,285
8,220
25,870
Boone
County,
IN
34,652
19,435
32,567
9,061
28,517
Brown
County,
IN
29,425
16,481
27,617
7,202
22,666
Carroll
County,
IN
28,506
17,324
29,029
8,221
25,873
Cass
County,
IN
25,963
17,567
29,437
8,310
26,153
Clark
County,
IN
27,386
17,014
28,510
9,111
28,674
Clay
County,
IN
23,470
14,885
24,942
6,886
21,672
Clinton
County,
IN
26,148
16,150
27,062
7,857
24,728
Crawford
County,
IN
20,367
11,738
19,669
5,843
18,389
Daviess
County,
IN
22,801
12,579
21,078
6,993
22,008
Dearborn
County,
IN
31,398
17,699
29,658
8,033
25,282
Decatur
County,
IN
27,701
15,717
26,337
7,510
23,636
De
Kalb
County,
IN
30,970
18,220
30,531
8,576
26,990
Delaware
County,
IN
24,436
16,455
27,573
8,634
27,173
Dubois
County,
IN
31,227
17,657
29,587
8,217
25,861
Elkhart
County,
IN
30,973
17,593
29,480
10,036
31,585
Fayette
County,
IN
25,565
15,111
25,321
8,002
25,184
Floyd
County,
IN
28,460
17,298
28,986
8,581
27,006
Fountain
County,
IN
24,772
15,896
26,637
7,287
22,934
March
12th,
2003
Page
102
of
157
5­
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County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
A
B
C
D
E
F
Franklin
County,
IN
27,734
15,660
26,241
7,106
22,364
Fulton
County,
IN
26,141
15,822
26,513
7,518
23,661
Gibson
County,
IN
25,985
16,456
27,575
6,799
21,398
Grant
County,
IN
26,248
17,031
28,538
8,786
27,651
Greene
County,
IN
23,139
13,253
22,208
6,673
21,001
Hamilton
County,
IN
45,748
24,407
40,898
10,466
32,939
Hancock
County,
IN
37,333
21,724
36,402
9,846
30,987
Harrison
County,
IN
27,238
16,197
27,141
7,514
23,648
Hendricks
County,
IN
39,892
22,679
38,003
10,613
33,401
Henry
County,
IN
25,668
16,168
27,092
8,644
27,204
Howard
County,
IN
31,511
19,220
32,206
9,411
29,618
Huntington
County,
IN
29,681
17,047
28,565
8,856
27,872
Jackson
County,
IN
25,767
15,749
26,390
8,024
25,253
Jasper
County,
IN
28,546
18,810
31,519
8,000
25,178
Jay
County,
IN
23,705
14,636
24,525
7,527
23,689
Jefferson
County,
IN
24,820
14,726
24,676
7,578
23,850
Jennings
County,
IN
24,617
15,951
26,729
7,531
23,702
Johnson
County,
IN
35,035
20,800
34,854
9,841
30,972
Knox
County,
IN
21,550
13,193
22,107
6,465
20,347
Kosciusko
County,
IN
31,666
16,754
28,074
8,746
27,525
Lagrange
County,
IN
27,296
15,612
26,161
8,585
27,019
Lake
County,
IN
30,439
21,307
35,704
10,112
31,825
La
Porte
County,
IN
28,469
18,708
31,349
9,478
29,829
Lawrence
County,
IN
25,764
14,756
24,726
7,503
23,614
Madison
County,
IN
27,435
17,887
29,973
9,244
29,093
Marion
County,
IN
29,152
17,400
29,157
9,615
30,260
Marshall
County,
IN
28,311
16,519
27,680
8,469
26,654
Martin
County,
IN
23,344
13,934
23,349
6,855
21,574
Miami
County,
IN
24,441
15,649
26,223
7,597
23,909
Monroe
County,
IN
24,781
13,721
22,992
7,691
24,205
Montgomery
County,
IN
28,020
16,748
28,064
8,327
26,207
Morgan
County,
IN
32,762
19,742
33,081
9,357
29,448
Newton
County,
IN
28,624
18,034
30,219
7,910
24,894
Noble
County,
IN
29,845
16,455
27,573
8,508
26,776
Ohio
County,
IN
26,237
15,315
25,663
7,207
22,682
Orange
County,
IN
21,015
12,282
20,581
6,296
19,815
Owen
County,
IN
23,404
14,012
23,480
6,704
21,099
Parke
County,
IN
24,514
14,795
24,792
6,131
19,296
Perry
County,
IN
24,158
15,107
25,314
6,847
21,549
Pike
County,
IN
23,096
14,855
24,892
6,285
19,780
Porter
County,
IN
37,142
24,201
40,553
11,113
34,975
Posey
County,
IN
31,530
18,790
31,486
7,641
24,048
Pulaski
County,
IN
25,418
14,954
25,058
6,973
21,945
Putnam
County,
IN
27,708
17,318
29,019
8,068
25,392
Randolph
County,
IN
24,773
15,664
26,248
7,775
24,470
Ripley
County,
IN
26,608
14,755
24,725
7,351
23,135
Rush
County,
IN
25,111
15,511
25,991
7,313
23,016
March
12th,
2003
Page
103
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Income
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Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
A
B
C
D
E
F
St.
Joseph
County,
IN
28,235
17,570
29,442
9,315
29,316
Scott
County,
IN
21,723
14,562
24,401
7,730
24,328
Shelby
County,
IN
30,366
18,032
30,216
8,782
27,639
Spencer
County,
IN
28,777
16,436
27,541
6,816
21,451
Starke
County,
IN
22,784
14,896
24,961
6,984
21,980
Steuben
County,
IN
29,203
16,371
27,432
7,438
23,409
Sullivan
County,
IN
22,940
14,317
23,991
5,887
18,528
Switzerland
County,
IN
23,871
12,060
20,209
6,621
20,838
Tippecanoe
County,
IN
27,630
16,428
27,528
8,935
28,120
Tipton
County,
IN
31,198
18,789
31,484
8,369
26,339
Union
County,
IN
24,635
14,731
24,684
7,828
24,636
Vanderburgh
County,
IN
25,798
16,070
26,928
8,098
25,486
Vermillion
County,
IN
22,339
14,119
23,659
6,680
21,023
Vigo
County,
IN
23,505
15,224
25,510
7,514
23,648
Wabash
County,
IN
26,724
16,466
27,592
8,765
27,585
Warren
County,
IN
25,680
17,180
28,788
7,177
22,588
Warrick
County,
IN
34,069
21,379
35,824
8,408
26,462
Washington
County,
IN
22,897
13,698
22,953
6,908
21,741
Wayne
County,
IN
23,475
15,658
26,238
8,514
26,795
Wells
County,
IN
31,261
18,271
30,616
9,038
28,444
White
County,
IN
26,610
16,490
27,632
8,048
25,329
Whitley
County,
IN
31,128
18,298
30,662
8,928
28,098
Iowa
$
26,229
$
16,799
$
28,150
$
7,880
$
24,800
Adair
County,
IA
21,426
12,527
20,991
6,529
20,548
Adams
County,
IA
20,570
12,844
21,522
5,853
18,421
Allamakee
County,
IA
21,098
13,098
21,948
5,606
17,643
Appanoose
County,
IA
17,833
11,352
19,022
5,432
17,096
Audubon
County,
IA
21,501
13,722
22,994
5,692
17,914
Benton
County,
IA
25,959
16,742
28,054
7,122
22,414
Black
Hawk
County,
IA
25,683
19,494
32,666
9,014
28,369
Boone
County,
IA
26,110
16,471
27,600
7,182
22,603
Bremer
County,
IA
27,326
18,102
30,333
7,893
24,841
Buchanan
County,
IA
23,386
16,066
26,921
6,893
21,694
Buena
Vista
County,
IA
25,311
16,222
27,183
7,352
23,138
Butler
County,
IA
23,292
15,698
26,305
6,724
21,162
Calhoun
County,
IA
22,496
15,036
25,195
6,443
20,277
Carroll
County,
IA
24,391
16,109
26,993
6,978
21,961
Cass
County,
IA
21,801
14,136
23,687
6,525
20,536
Cedar
County,
IA
27,713
17,292
28,976
7,753
24,400
Cerro
Gordo
County,
IA
25,116
16,443
27,553
7,923
24,935
Cherokee
County,
IA
22,967
15,609
26,156
7,274
22,893
Chickasaw
County,
IA
24,656
15,541
26,042
6,455
20,315
Clarke
County,
IA
21,735
12,158
20,373
5,815
18,301
Clay
County,
IA
25,028
16,222
27,183
7,204
22,672
Clayton
County,
IA
21,406
13,356
22,380
6,014
18,927
Clinton
County,
IA
25,410
18,516
31,027
8,653
27,233
March
12th,
2003
Page
104
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157
5­
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County
Income
Record
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Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
A
B
C
D
E
F
Crawford
County,
IA
22,209
15,633
26,196
6,662
20,967
Dallas
County,
IA
28,874
18,661
31,270
8,091
25,464
Davis
County,
IA
20,054
13,015
21,809
5,812
18,292
Decatur
County,
IA
18,105
11,074
18,556
4,584
14,427
Delaware
County,
IA
25,757
15,991
26,796
6,854
21,571
Des
Moines
County,
IA
26,536
17,252
28,909
8,207
25,829
Dickinson
County,
IA
25,211
16,032
26,864
6,679
21,020
Dubuque
County,
IA
28,276
19,396
32,501
9,069
28,542
Emmet
County,
IA
22,790
16,338
27,377
7,212
22,698
Fayette
County,
IA
21,109
14,815
24,825
6,622
20,841
Floyd
County,
IA
23,344
16,031
26,863
7,254
22,830
Franklin
County,
IA
23,741
15,365
25,747
6,639
20,894
Fremont
County,
IA
22,948
13,201
22,121
6,413
20,183
Greene
County,
IA
22,320
14,464
24,237
7,161
22,537
Grundy
County,
IA
26,314
18,006
30,172
7,565
23,809
Guthrie
County,
IA
23,356
13,352
22,374
6,132
19,299
Hamilton
County,
IA
25,847
16,304
27,320
7,267
22,871
Hancock
County,
IA
25,445
15,967
26,756
6,631
20,869
Hardin
County,
IA
23,457
15,541
26,042
7,426
23,371
Harrison
County,
IA
22,258
13,895
23,284
6,268
19,727
Henry
County,
IA
24,952
15,662
26,244
7,661
24,111
Howard
County,
IA
21,913
13,795
23,116
5,968
18,783
Humboldt
County,
IA
24,557
15,843
26,548
7,248
22,811
Ida
County,
IA
22,859
13,632
22,843
7,827
24,633
Iowa
County,
IA
26,579
17,063
28,592
6,759
21,272
Jackson
County,
IA
22,487
16,308
27,327
7,199
22,657
Jasper
County,
IA
28,702
16,986
28,463
8,311
26,156
Jefferson
County,
IA
22,630
14,162
23,731
6,910
21,747
Johnson
County,
IA
27,862
16,253
27,235
8,016
25,228
Jones
County,
IA
24,480
16,297
27,308
6,974
21,949
Keokuk
County,
IA
22,234
13,501
22,623
6,011
18,918
Kossuth
County,
IA
23,321
15,373
25,760
7,032
22,131
Lee
County,
IA
24,671
16,590
27,799
7,923
24,935
Linn
County,
IA
32,137
20,084
33,654
9,667
30,424
Louisa
County,
IA
25,590
16,674
27,940
7,704
24,246
Lucas
County,
IA
21,316
12,073
20,230
5,826
18,336
Lyon
County,
IA
22,676
14,776
24,760
6,218
19,569
Madison
County,
IA
26,644
15,591
26,125
6,565
20,661
Mahaska
County,
IA
23,115
14,245
23,870
6,096
19,185
Marion
County,
IA
27,991
16,549
27,731
7,289
22,940
Marshall
County,
IA
28,333
17,856
29,921
8,560
26,940
Mills
County,
IA
27,420
16,417
27,510
7,823
24,621
Mitchell
County,
IA
24,519
14,450
24,214
6,615
20,819
Monona
County,
IA
20,714
13,438
22,518
5,988
18,845
Monroe
County,
IA
20,745
13,190
22,102
5,764
18,141
Montgomery
County,
IA
23,312
14,830
24,850
6,593
20,750
Muscatine
County,
IA
29,786
18,233
30,553
8,539
26,874
March
12th,
2003
Page
105
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157
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County
Income
Record
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316(
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of
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Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
A
B
C
D
E
F
O'Brien
County,
IA
23,125
14,718
24,663
6,571
20,680
Osceola
County,
IA
23,037
15,215
25,495
6,358
20,010
Page
County,
IA
22,050
13,805
23,133
6,306
19,846
Palo
Alto
County,
IA
21,223
14,590
24,448
6,823
21,473
Plymouth
County,
IA
26,796
15,889
26,625
7,008
22,056
Pocahontas
County,
IA
23,517
14,611
24,483
6,635
20,882
Polk
County,
IA
31,221
18,849
31,585
9,306
29,288
Pottawattamie
County,
IA
26,639
16,930
28,369
8,272
26,034
Poweshiek
County,
IA
26,063
15,566
26,084
7,319
23,034
Ringgold
County,
IA
20,761
10,011
16,775
5,524
17,385
Sac
County,
IA
21,818
14,781
24,768
6,879
21,650
Scott
County,
IA
29,979
20,767
34,799
9,727
30,613
Shelby
County,
IA
22,702
15,214
25,494
6,946
21,861
Sioux
County,
IA
25,692
16,163
27,084
6,697
21,077
Story
County,
IA
26,668
17,006
28,497
8,265
26,012
Tama
County,
IA
24,297
15,448
25,886
6,975
21,952
Taylor
County,
IA
18,641
11,747
19,684
4,790
15,075
Union
County,
IA
21,550
13,661
22,891
5,909
18,597
Van
Buren
County,
IA
19,244
11,569
19,386
4,835
15,217
Wapello
County,
IA
21,060
14,915
24,993
7,115
22,392
Warren
County,
IA
32,452
20,087
33,659
9,167
28,850
Washington
County,
IA
25,822
15,043
25,207
7,597
23,909
Wayne
County,
IA
17,599
10,828
18,144
4,943
15,557
Webster
County,
IA
23,692
16,369
27,429
7,884
24,813
Winnebago
County,
IA
23,480
14,873
24,922
7,191
22,632
Winneshiek
County,
IA
24,383
13,718
22,987
6,771
21,310
Woodbury
County,
IA
25,186
16,054
26,901
7,677
24,161
Worth
County,
IA
22,902
15,617
26,169
7,228
22,748
Wright
County,
IA
24,582
15,633
26,196
7,777
24,476
Kansas
$
27,291
$
16,362
$
27,417
$
7,578
$
23,850
Allen
County,
KS
20,774
12,865
21,558
5,549
17,464
Anderson
County,
KS
21,956
12,319
20,643
5,463
17,193
Atchison
County,
KS
22,339
14,314
23,986
6,313
19,868
Barber
County,
KS
21,476
14,581
24,433
7,109
22,374
Barton
County,
KS
23,432
15,292
25,624
7,666
24,126
Bourbon
County,
KS
20,367
12,127
20,321
5,376
16,919
Brown
County,
KS
20,392
12,329
20,659
5,326
16,762
Butler
County,
KS
31,012
18,457
30,928
7,419
23,349
Chase
County,
KS
20,128
13,457
22,550
5,186
16,321
Chautauqua
County,
KS
17,067
11,326
18,979
4,555
14,336
Cherokee
County,
KS
19,001
12,125
20,318
5,225
16,444
Cheyenne
County,
KS
21,750
12,978
21,747
5,835
18,364
Clark
County,
KS
24,003
14,668
24,579
6,612
20,809
Clay
County,
KS
21,896
12,895
21,608
6,025
18,962
Cloud
County,
KS
20,782
12,060
20,209
5,897
18,559
Coffey
County,
KS
24,435
13,915
23,317
4,810
15,138
March
12th,
2003
Page
106
of
157
5­
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­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
A
B
C
D
E
F
Comanche
County,
KS
19,421
14,277
23,924
6,068
19,097
Cowley
County,
KS
25,047
14,997
25,130
6,526
20,539
Crawford
County,
KS
19,616
11,486
19,247
5,253
16,532
Decatur
County,
KS
20,131
13,525
22,664
5,677
17,867
Dickinson
County,
KS
22,953
13,672
22,910
6,218
19,569
Doniphan
County,
KS
22,102
13,204
22,126
6,195
19,497
Douglas
County,
KS
25,244
14,156
23,721
7,321
23,041
Edwards
County,
KS
21,904
12,929
21,665
6,690
21,055
Elk
County,
KS
17,730
10,281
17,228
4,657
14,657
Ellis
County,
KS
22,466
15,623
26,179
6,959
21,901
Ellsworth
County,
KS
20,064
12,358
20,708
5,568
17,524
Finney
County,
KS
27,645
17,511
29,343
7,965
25,068
Ford
County,
KS
25,041
16,505
27,657
7,509
23,632
Franklin
County,
KS
24,981
14,218
23,825
6,295
19,812
Geary
County,
KS
21,905
12,764
21,388
6,560
20,646
Gove
County,
KS
23,377
12,273
20,566
6,027
18,968
Graham
County,
KS
22,047
12,493
20,934
6,847
21,549
Grant
County,
KS
30,173
18,049
30,244
8,414
26,481
Gray
County,
KS
25,872
16,392
27,468
7,200
22,660
Greeley
County,
KS
25,709
15,986
26,787
7,226
22,742
Greenwood
County,
KS
19,481
12,087
20,254
5,126
16,133
Hamilton
County,
KS
22,500
13,567
22,734
6,667
20,982
Harper
County,
KS
21,226
13,652
22,876
5,965
18,773
Harvey
County,
KS
27,539
16,817
28,180
7,642
24,051
Haskell
County,
KS
26,761
16,403
27,486
7,647
24,067
Hodgeman
County,
KS
23,788
15,352
25,725
6,384
20,092
Jackson
County,
KS
25,398
15,725
26,350
6,476
20,381
Jefferson
County,
KS
29,048
17,234
28,879
7,142
22,477
Jewell
County,
KS
18,839
11,429
19,151
6,430
20,237
Johnson
County,
KS
42,741
25,173
42,182
12,763
40,168
Kearny
County,
KS
29,303
17,051
28,572
7,121
22,411
Kingman
County,
KS
22,763
14,887
24,946
6,053
19,050
Kiowa
County,
KS
22,628
14,237
23,857
7,251
22,820
Labette
County,
KS
21,871
13,330
22,337
5,952
18,732
Lane
County,
KS
23,532
14,004
23,466
6,547
20,605
Leavenworth
County,
KS
32,500
18,511
31,018
8,721
27,447
Lincoln
County,
KS
18,652
11,833
19,828
4,991
15,708
Linn
County,
KS
21,287
12,153
20,364
5,324
16,756
Logan
County,
KS
22,126
14,065
23,568
6,374
20,060
Lyon
County,
KS
24,050
15,933
26,699
6,503
20,466
McPherson
County,
KS
27,003
16,162
27,082
7,230
22,754
Marion
County,
KS
21,725
13,412
22,474
5,901
18,572
Marshall
County,
KS
20,597
12,607
21,125
5,400
16,995
Meade
County,
KS
23,403
13,818
23,154
6,992
22,005
Miami
County,
KS
29,259
16,654
27,907
7,197
22,650
Mitchell
County,
KS
22,159
13,201
22,121
5,830
18,348
Montgomery
County,
KS
20,864
13,755
23,049
5,797
18,244
March
12th,
2003
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107
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Income
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Data
Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
A
B
C
D
E
F
Morris
County,
KS
22,202
12,192
20,430
5,625
17,703
Morton
County,
KS
25,659
16,380
27,448
8,169
25,710
Nemaha
County,
KS
22,144
12,306
20,621
5,123
16,123
Neosho
County,
KS
22,299
13,919
23,324
5,936
18,682
Ness
County,
KS
23,594
13,389
22,436
5,191
16,337
Norton
County,
KS
21,259
11,758
19,703
6,323
19,900
Osage
County,
KS
24,867
15,203
25,475
6,131
19,296
Osborne
County,
KS
18,365
11,552
19,357
5,550
17,467
Ottawa
County,
KS
21,852
12,579
21,078
5,728
18,027
Pawnee
County,
KS
23,898
14,480
24,264
6,823
21,473
Phillips
County,
KS
20,918
13,165
22,060
5,705
17,955
Pottawatomie
County,
KS
25,305
14,909
24,983
6,141
19,327
Pratt
County,
KS
23,865
15,441
25,874
7,243
22,795
Rawlins
County,
KS
21,332
12,467
20,891
5,647
17,772
Reno
County,
KS
24,665
15,949
26,725
7,233
22,764
Republic
County,
KS
20,224
10,973
18,387
5,229
16,457
Rice
County,
KS
21,088
15,475
25,931
6,659
20,957
Riley
County,
KS
21,700
12,359
20,710
6,704
21,099
Rooks
County,
KS
20,113
13,789
23,106
5,999
18,880
Rush
County,
KS
19,356
12,589
21,095
5,375
16,916
Russell
County,
KS
20,843
13,589
22,771
6,631
20,869
Saline
County,
KS
25,728
16,201
27,148
7,069
22,248
Scott
County,
KS
25,474
15,468
25,919
7,487
23,563
Sedgwick
County,
KS
30,216
18,223
30,536
8,549
26,905
Seward
County,
KS
26,055
17,630
29,542
8,294
26,103
Shawnee
County,
KS
29,879
17,713
29,681
8,503
26,761
Sheridan
County,
KS
21,540
12,702
21,284
5,188
16,328
Sherman
County,
KS
21,138
14,221
23,830
6,846
21,546
Smith
County,
KS
18,834
10,875
18,223
5,630
17,719
Stafford
County,
KS
19,778
13,162
22,055
6,941
21,845
Stanton
County,
KS
24,545
14,145
23,702
6,887
21,675
Stevens
County,
KS
27,549
16,973
28,441
7,973
25,093
Sumner
County,
KS
26,885
16,656
27,910
6,429
20,233
Thomas
County,
KS
22,247
15,244
25,544
6,764
21,288
Trego
County,
KS
19,921
13,880
23,258
6,082
19,141
Wabaunsee
County,
KS
27,727
14,641
24,534
5,937
18,685
Wallace
County,
KS
20,417
12,337
20,673
6,719
21,146
Washington
County,
KS
19,424
11,470
19,220
5,140
16,177
Wichita
County,
KS
23,395
14,722
24,669
6,875
21,637
Wilson
County,
KS
18,776
12,147
20,354
5,370
16,901
Woodson
County,
KS
19,637
11,185
18,742
4,295
13,517
Wyandotte
County,
KS
23,780
15,454
25,896
8,127
25,577
Kentucky
$
22,534
$
13,965
$
23,401
$
6,537
$
20,573
Adair
County,
KY
15,809
9,381
15,720
3,737
11,761
Allen
County,
KY
17,915
10,872
18,218
4,218
13,275
Anderson
County,
KY
27,747
15,920
26,677
7,140
22,471
March
12th,
2003
Page
108
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Income
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Data
Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
A
B
C
D
E
F
Ballard
County,
KY
19,371
12,492
20,933
5,887
18,528
Barren
County,
KY
19,546
12,476
20,906
5,011
15,771
Bath
County,
KY
15,940
9,937
16,651
4,275
13,454
Bell
County,
KY
13,078
9,869
16,537
3,910
12,306
Boone
County,
KY
34,485
20,494
34,341
9,546
30,043
Bourbon
County,
KY
22,445
12,555
21,038
6,468
20,356
Boyd
County,
KY
23,835
16,285
27,288
7,700
24,234
Boyle
County,
KY
23,125
13,649
22,871
6,731
21,184
Bracken
County,
KY
19,684
12,682
21,251
4,837
15,223
Breathitt
County,
KY
12,383
9,362
15,688
2,751
8,658
Breckinridge
County,
KY
17,687
10,840
18,164
5,528
17,398
Bullitt
County,
KY
29,455
18,110
30,346
7,469
23,506
Butler
County,
KY
17,514
10,726
17,973
4,079
12,837
Caldwell
County,
KY
17,997
12,555
21,038
5,167
16,262
Calloway
County,
KY
19,408
12,707
21,293
5,781
18,194
Campbell
County,
KY
29,228
16,891
28,304
8,334
26,229
Carlisle
County,
KY
19,404
12,606
21,124
4,684
14,742
Carroll
County,
KY
20,179
12,517
20,974
6,041
19,012
Carter
County,
KY
17,083
10,745
18,005
4,803
15,116
Casey
County,
KY
14,993
8,318
13,938
3,983
12,535
Christian
County,
KY
21,032
12,061
20,210
5,581
17,565
Clark
County,
KY
25,323
15,915
26,668
7,016
22,081
Clay
County,
KY
12,732
7,897
13,233
2,821
8,878
Clinton
County,
KY
11,348
7,238
12,129
3,458
10,883
Crittenden
County,
KY
18,566
12,153
20,364
4,478
14,093
Cumberland
County,
KY
12,989
8,461
14,178
3,444
10,839
Daviess
County,
KY
24,399
15,917
26,672
7,620
23,982
Edmonson
County,
KY
15,134
10,081
16,892
4,637
14,594
Elliott
County,
KY
13,890
9,715
16,279
3,434
10,808
Estill
County,
KY
16,056
10,720
17,963
4,367
13,744
Fayette
County,
KY
28,056
15,915
26,668
8,430
26,531
Fleming
County,
KY
18,014
10,929
18,313
4,437
13,964
Floyd
County,
KY
15,661
12,372
20,731
4,418
13,904
Franklin
County,
KY
27,484
16,281
27,282
8,284
26,071
Fulton
County,
KY
16,087
10,883
18,236
4,513
14,203
Gallatin
County,
KY
21,454
13,693
22,945
5,215
16,413
Garrard
County,
KY
21,057
11,513
19,292
5,521
17,376
Grant
County,
KY
24,502
15,434
25,862
6,258
19,695
Graves
County,
KY
20,647
13,636
22,850
5,437
17,111
Grayson
County,
KY
17,306
10,745
18,005
4,625
14,556
Green
County,
KY
18,432
10,456
17,521
5,148
16,202
Greenup
County,
KY
24,527
17,374
29,113
6,876
21,640
Hancock
County,
KY
26,080
15,625
26,182
7,419
23,349
Hardin
County,
KY
24,431
13,742
23,027
6,862
21,596
Harlan
County,
KY
14,774
11,175
18,726
4,146
13,048
Harrison
County,
KY
21,787
12,519
20,978
5,791
18,225
Hart
County,
KY
15,671
9,672
16,207
4,416
13,898
March
12th,
2003
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Income
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Availability:
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Benefits
Meta­
Analysis
Literature
Review
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
A
B
C
D
E
F
Henderson
County,
KY
25,556
16,477
27,610
6,657
20,951
Henry
County,
KY
22,528
12,655
21,206
6,003
18,893
Hickman
County,
KY
20,347
13,080
21,918
4,918
15,478
Hopkins
County,
KY
22,155
15,269
25,586
5,966
18,776
Jackson
County,
KY
11,885
7,428
12,447
2,897
9,117
Jefferson
County,
KY
27,092
16,664
27,923
8,817
27,749
Jessamine
County,
KY
27,059
14,817
24,828
6,800
21,401
Johnson
County,
KY
15,782
11,944
20,014
3,801
11,963
Kenton
County,
KY
30,516
17,195
28,813
8,300
26,122
Knott
County,
KY
13,329
10,527
17,640
2,905
9,143
Knox
County,
KY
12,697
8,850
14,830
3,122
9,826
Larue
County,
KY
22,405
11,632
19,491
5,228
16,454
Laurel
County,
KY
18,584
11,961
20,043
4,284
13,483
Lawrence
County,
KY
15,273
9,415
15,776
3,546
11,160
Lee
County,
KY
12,461
8,420
14,109
2,952
9,291
Leslie
County,
KY
13,692
9,419
15,783
3,286
10,342
Letcher
County,
KY
15,112
10,927
18,310
3,899
12,271
Lewis
County,
KY
15,775
9,957
16,685
5,262
16,561
Lincoln
County,
KY
17,169
10,474
17,551
4,758
14,974
Livingston
County,
KY
20,892
13,211
22,137
5,220
16,428
Logan
County,
KY
21,279
12,225
20,485
5,314
16,724
Lyon
County,
KY
20,239
14,051
23,545
4,955
15,594
McCracken
County,
KY
22,606
15,172
25,423
6,910
21,747
McCreary
County,
KY
10,598
7,534
12,625
2,637
8,299
McLean
County,
KY
20,474
13,471
22,573
5,212
16,403
Madison
County,
KY
21,388
12,381
20,747
6,253
19,679
Magoffin
County,
KY
12,160
9,091
15,234
3,216
10,121
Marion
County,
KY
18,181
11,587
19,416
5,536
17,423
Marshall
County,
KY
22,413
15,255
25,562
6,417
20,196
Martin
County,
KY
15,142
13,686
22,933
2,827
8,897
Mason
County,
KY
20,582
12,904
21,623
6,026
18,965
Meade
County,
KY
23,676
14,093
23,615
7,327
23,060
Menifee
County,
KY
14,650
9,155
15,341
4,651
14,638
Mercer
County,
KY
22,774
13,861
23,227
6,223
19,585
Metcalfe
County,
KY
14,815
9,034
15,138
3,600
11,330
Monroe
County,
KY
15,214
8,955
15,006
3,380
10,638
Montgomery
County,
KY
20,025
12,022
20,145
6,067
19,094
Morgan
County,
KY
13,229
8,061
13,508
3,106
9,775
Muhlenberg
County,
KY
18,679
14,540
24,364
5,578
17,555
Nelson
County,
KY
24,220
14,297
23,957
6,324
19,903
Nicholas
County,
KY
18,070
11,177
18,729
5,489
17,275
Ohio
County,
KY
18,196
13,805
23,133
4,961
15,613
Oldham
County,
KY
38,416
21,243
35,596
7,675
24,155
Owen
County,
KY
21,067
10,620
17,796
5,043
15,871
Owsley
County,
KY
8,595
6,672
11,180
2,229
7,015
Pendleton
County,
KY
22,500
13,344
22,360
6,032
18,984
Perry
County,
KY
16,202
12,032
20,162
4,208
13,243
March
12th,
2003
Page
110
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Income
Record
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of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
A
B
C
D
E
F
Pike
County,
KY
17,468
13,519
22,653
4,883
15,368
Powell
County,
KY
16,828
11,136
18,660
5,200
16,365
Pulaski
County,
KY
18,198
10,497
17,590
4,433
13,952
Robertson
County,
KY
19,756
10,976
18,392
4,507
14,184
Rockcastle
County,
KY
14,967
8,860
14,846
4,103
12,913
Rowan
County,
KY
15,922
10,566
17,705
4,857
15,286
Russell
County,
KY
16,788
8,650
14,495
4,067
12,800
Scott
County,
KY
27,563
15,240
25,537
6,636
20,885
Shelby
County,
KY
28,500
15,993
26,799
6,753
21,253
Simpson
County,
KY
21,793
13,496
22,615
5,855
18,427
Spencer
County,
KY
22,680
14,186
23,771
5,700
17,939
Taylor
County,
KY
21,083
13,130
22,002
5,858
18,436
Todd
County,
KY
20,309
11,021
18,468
4,786
15,063
Trigg
County,
KY
19,860
12,582
21,083
5,063
15,934
Trimble
County,
KY
22,372
13,421
22,489
5,682
17,882
Union
County,
KY
23,798
16,595
27,808
6,494
20,438
Warren
County,
KY
24,175
14,077
23,588
6,284
19,777
Washington
County,
KY
20,606
12,299
20,609
5,222
16,435
Wayne
County,
KY
12,560
8,355
14,000
2,857
8,992
Webster
County,
KY
21,189
12,917
21,645
4,900
15,421
Whitley
County,
KY
14,979
9,826
16,465
3,590
11,298
Wolfe
County,
KY
11,000
7,846
13,147
2,381
7,494
Woodford
County,
KY
32,858
17,333
29,044
7,532
23,705
Louisiana
$
21,949
$
15,227
$
25,516
$
6,538
$
20,576
Acadia
Parish,
LA
16,022
13,507
22,633
4,789
15,072
Allen
Parish,
LA
15,838
12,202
20,447
4,809
15,135
Ascension
Parish,
LA
27,435
19,192
32,160
6,978
21,961
Assumption
Parish,
LA
20,021
14,883
24,939
5,449
17,149
Avoyelles
Parish,
LA
13,451
9,971
16,708
3,695
11,629
Beauregard
Parish,
LA
22,442
14,827
24,845
6,181
19,453
Bienville
Parish,
LA
16,043
10,367
17,372
4,200
13,218
Bossier
Parish,
LA
26,058
16,520
27,682
7,165
22,550
Caddo
Parish,
LA
22,395
15,381
25,774
6,728
21,174
Calcasieu
Parish,
LA
24,375
18,719
31,367
7,491
23,576
Caldwell
Parish,
LA
16,069
10,205
17,100
4,408
13,873
Cameron
Parish,
LA
25,164
18,434
30,889
7,135
22,455
Catahoula
Parish,
LA
14,956
9,825
16,464
4,101
12,907
Claiborne
Parish,
LA
16,073
10,928
18,312
4,057
12,768
Concordia
Parish,
LA
17,265
12,175
20,401
5,270
16,586
De
Soto
Parish,
LA
16,315
11,464
19,210
3,948
12,425
East
Baton
Rouge
Parish,
LA
27,224
18,041
30,231
8,487
26,710
East
Carroll
Parish,
LA
9,791
7,780
13,037
2,891
9,099
East
Feliciana
Parish,
LA
20,139
14,012
23,480
4,927
15,506
Evangeline
Parish,
LA
13,797
10,049
16,839
3,435
10,811
Franklin
Parish,
LA
15,159
9,585
16,061
3,689
11,610
Grant
Parish,
LA
17,711
11,295
18,927
4,424
13,923
March
12th,
2003
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Income
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316(
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Data
Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
A
B
C
D
E
F
Iberia
Parish,
LA
20,838
17,225
28,864
6,244
19,651
Iberville
Parish,
LA
20,371
14,026
23,503
5,155
16,224
Jackson
Parish,
LA
18,804
11,032
18,486
5,435
17,105
Jefferson
Parish,
LA
27,916
19,757
33,106
9,669
30,430
Jefferson
Davis
Parish,
LA
18,467
15,042
25,206
5,204
16,378
Lafayette
Parish,
LA
24,339
18,602
31,171
6,977
21,958
Lafourche
Parish,
LA
21,416
17,891
29,980
7,258
22,842
La
Salle
Parish,
LA
18,597
12,194
20,433
4,787
15,066
Lincoln
Parish,
LA
19,254
12,676
21,241
5,480
17,247
Livingston
Parish,
LA
25,470
17,291
28,974
6,620
20,835
Madison
Parish,
LA
12,792
8,360
14,009
2,998
9,435
Morehouse
Parish,
LA
17,309
9,646
16,164
4,570
14,383
Natchitoches
Parish,
LA
15,778
10,872
18,218
3,807
11,981
Orleans
Parish,
LA
18,477
11,814
19,796
6,155
19,371
Ouachita
Parish,
LA
21,129
13,883
23,263
6,271
19,736
Plaquemines
Parish,
LA
24,076
17,630
29,542
8,071
25,401
Pointe
Coupee
Parish,
LA
18,772
12,529
20,995
4,245
13,360
Rapides
Parish,
LA
20,811
13,398
22,451
5,940
18,694
Red
River
Parish,
LA
14,831
10,185
17,067
3,528
11,103
Richland
Parish,
LA
15,298
9,544
15,993
4,063
12,787
Sabine
Parish,
LA
16,790
11,339
19,000
4,108
12,929
St.
Bernard
Parish,
LA
25,482
18,882
31,640
9,244
29,093
St.
Charles
Parish,
LA
31,777
21,063
35,295
8,425
26,515
St.
Helena
Parish,
LA
15,475
9,653
16,175
3,809
11,988
St.
James
Parish,
LA
23,105
18,417
30,861
7,060
22,219
St.
John
the
Baptist
Parish,
29,035
20,158
33,778
7,417
23,343
St.
Landry
Parish,
LA
14,670
11,300
18,935
4,194
13,199
St.
Martin
Parish,
LA
19,116
15,093
25,291
4,539
14,285
St.
Mary
Parish,
LA
20,980
18,430
30,883
7,321
23,041
St.
Tammany
Parish,
LA
30,656
19,806
33,188
7,469
23,506
Tangipahoa
Parish,
LA
16,849
11,799
19,771
4,367
13,744
Tensas
Parish,
LA
11,931
8,233
13,796
2,486
7,824
Terrebonne
Parish,
LA
21,765
19,176
32,133
7,664
24,120
Union
Parish,
LA
18,083
11,137
18,662
4,873
15,336
Vermilion
Parish,
LA
18,202
14,312
23,982
5,233
16,469
Vernon
Parish,
LA
19,147
11,324
18,975
5,902
18,575
Washington
Parish,
LA
16,246
11,096
18,593
5,124
16,126
Webster
Parish,
LA
18,716
12,389
20,760
6,074
19,116
West
Baton
Rouge
Parish,
LA
24,852
17,082
28,624
6,073
19,113
West
Carroll
Parish,
LA
14,924
7,951
13,323
3,919
12,334
West
Feliciana
Parish,
LA
19,402
12,008
20,122
4,493
14,140
Winn
Parish,
LA
16,967
10,100
16,924
4,373
13,763
Maine
$
27,854
$
13,816
$
23,151
$
7,315
$
23,022
Androscoggin
County,
ME
26,979
13,524
22,662
7,181
22,600
Aroostook
County,
ME
22,230
12,357
20,706
6,511
20,491
Cumberland
County,
ME
32,286
15,359
25,737
8,184
25,757
March
12th,
2003
Page
112
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County
Income
Record
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316(
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of
Data
Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
A
B
C
D
E
F
Franklin
County,
ME
24,432
13,500
22,622
7,187
22,619
Hancock
County,
ME
25,247
12,146
20,353
6,528
20,545
Kennebec
County,
ME
28,616
14,690
24,616
7,777
24,476
Knox
County,
ME
25,405
12,113
20,297
6,356
20,004
Lincoln
County,
ME
28,373
12,831
21,501
6,778
21,332
Oxford
County,
ME
24,535
13,029
21,832
7,090
22,314
Penobscot
County,
ME
26,631
14,181
23,763
7,372
23,201
Piscataquis
County,
ME
22,132
12,260
20,544
6,497
20,447
Sagadahoc
County,
ME
31,948
14,855
24,892
7,337
23,091
Somerset
County,
ME
22,829
11,830
19,823
6,655
20,945
Waldo
County,
ME
23,148
11,614
19,461
6,565
20,661
Washington
County,
ME
19,993
10,443
17,499
5,330
16,775
York
County,
ME
32,432
15,377
25,767
7,552
23,768
Maryland
$
39,386
$
20,281
$
33,984
$
10,101
$
31,790
Allegany
County,
MD
21,546
13,885
23,267
6,991
22,002
Anne
Arundel
County,
MD
45,147
22,676
37,998
11,033
34,723
Baltimore
County,
MD
38,837
21,640
36,262
11,616
36,558
Calvert
County,
MD
47,608
22,106
37,042
8,012
25,215
Caroline
County,
MD
27,758
14,452
24,217
6,361
20,019
Carroll
County,
MD
42,378
21,358
35,789
9,407
29,606
Cecil
County,
MD
36,019
18,319
30,697
8,594
27,047
Charles
County,
MD
46,415
24,229
40,600
9,790
30,811
Dorchester
County,
MD
24,922
13,766
23,067
6,486
20,413
Frederick
County,
MD
41,382
20,619
34,551
8,807
27,717
Garrett
County,
MD
22,733
13,071
21,903
5,436
17,108
Harford
County,
MD
41,680
21,587
36,173
10,184
32,051
Howard
County,
MD
54,348
27,612
46,269
12,904
40,612
Kent
County,
MD
30,104
13,979
23,424
6,755
21,259
Montgomery
County,
MD
54,089
28,987
48,573
14,984
47,158
Prince
George's
County,
MD
43,127
22,395
37,527
11,838
37,257
Queen
Anne's
County,
MD
39,190
17,327
29,034
7,010
22,062
St.
Mary's
County,
MD
37,158
18,743
31,407
7,742
24,366
Somerset
County,
MD
23,379
11,975
20,066
4,819
15,166
Talbot
County,
MD
31,885
16,539
27,714
6,949
21,870
Washington
County,
MD
29,632
16,623
27,855
7,916
24,913
Wicomico
County,
MD
28,512
15,818
26,506
7,744
24,372
Worcester
County,
MD
27,586
14,149
23,709
6,249
19,667
INDEPENDENT
CITY:

Baltimore
city,
MD
24,045
$
12,811
$
21,467
$
7,577
$
23,846
Massachusetts
$
36,952
$
17,575
$
29,450
$
9,563
$
30,097
Barnstable
County,
MA
31,766
15,553
26,062
7,956
25,039
Berkshire
County,
MA
30,470
15,876
26,603
9,079
28,574
Bristol
County,
MA
31,520
15,473
25,928
8,234
25,914
Dukes
County,
MA
31,994
13,570
22,739
7,451
23,450
March
12th,
2003
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113
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Income
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Data
Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
A
B
C
D
E
F
Essex
County,
MA
37,913
18,077
30,291
9,551
30,059
Franklin
County,
MA
30,350
15,254
25,561
8,418
26,493
Hampden
County,
MA
31,100
16,166
27,089
9,036
28,438
Hampshire
County,
MA
34,154
16,675
27,942
9,342
29,401
Middlesex
County,
MA
43,847
20,433
34,239
10,822
34,059
Nantucket
County,
MA
40,331
19,012
31,858
7,359
23,160
Norfolk
County,
MA
46,215
21,894
36,687
11,824
37,213
Plymouth
County,
MA
40,905
18,749
31,417
10,019
31,532
Suffolk
County,
MA
29,399
12,798
21,445
7,605
23,935
Worcester
County,
MA
35,774
17,182
28,791
9,278
29,200
Michigan
$
31,020
$
19,223
$
32,212
$
9,997
$
31,463
Alcona
County,
MI
18,013
10,730
17,980
5,283
16,627
Alger
County,
MI
21,569
14,224
23,835
7,039
22,153
Allegan
County,
MI
30,596
17,906
30,005
8,459
26,622
Alpena
County,
MI
22,598
15,166
25,413
8,178
25,738
Antrim
County,
MI
22,636
14,026
23,503
6,826
21,483
Arenac
County,
MI
19,489
13,184
22,092
7,310
23,006
Baraga
County,
MI
19,424
12,007
20,120
6,749
21,241
Barry
County,
MI
30,516
18,684
31,308
8,878
27,941
Bay
County,
MI
27,940
19,043
31,910
9,484
29,848
Benzie
County,
MI
21,577
13,410
22,471
6,464
20,344
Berrien
County,
MI
27,245
16,274
27,270
8,947
28,158
Branch
County,
MI
25,332
16,150
27,062
7,903
24,872
Calhoun
County,
MI
27,476
17,603
29,497
9,571
30,122
Cass
County,
MI
28,002
16,488
27,629
8,901
28,013
Charlevoix
County,
MI
24,738
14,028
23,506
7,522
23,673
Cheboygan
County,
MI
21,006
13,012
21,804
6,816
21,451
Chippewa
County,
MI
21,449
12,499
20,944
6,532
20,558
Clare
County,
MI
17,163
11,349
19,017
6,520
20,520
Clinton
County,
MI
36,180
21,573
36,149
10,376
32,655
Crawford
County,
MI
21,497
11,832
19,827
6,925
21,794
Delta
County,
MI
22,791
15,076
25,262
7,695
24,218
Dickinson
County,
MI
24,809
14,293
23,950
6,831
21,499
Eaton
County,
MI
35,734
21,778
36,493
10,775
33,911
Emmet
County,
MI
26,015
15,099
25,301
7,342
23,107
Genesee
County,
MI
31,030
20,996
35,182
10,451
32,891
Gladwin
County,
MI
18,587
12,255
20,535
7,060
22,219
Gogebic
County,
MI
17,343
10,973
18,387
5,851
18,414
Grand
Traverse
County,
MI
29,034
16,686
27,960
8,547
26,899
Gratiot
County,
MI
24,530
15,796
26,469
8,176
25,732
Hillsdale
County,
MI
26,019
15,398
25,802
7,974
25,096
Houghton
County,
MI
17,650
11,456
19,197
5,176
16,290
Huron
County,
MI
21,852
13,860
23,225
6,704
21,099
Ingham
County,
MI
30,162
18,090
30,313
9,939
31,280
Ionia
County,
MI
29,430
17,439
29,222
8,726
27,463
Iosco
County,
MI
20,091
11,724
19,646
6,544
20,595
Iron
County,
MI
16,307
11,331
18,987
5,750
18,096
March
12th,
2003
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114
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County
Income
Record
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316(
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of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
A
B
C
D
E
F
Isabella
County,
MI
22,659
15,002
25,138
8,008
25,203
Jackson
County,
MI
29,156
18,530
31,050
9,733
30,632
Kalamazoo
County,
MI
31,060
18,634
31,225
9,857
31,022
Kalkaska
County,
MI
22,078
13,714
22,980
5,676
17,864
Kent
County,
MI
32,358
18,554
31,090
9,563
30,097
Keweenaw
County,
MI
13,821
9,076
15,208
4,110
12,935
Lake
County,
MI
14,562
9,134
15,306
4,494
14,144
Lapeer
County,
MI
35,874
21,403
35,864
9,635
30,323
Leelanau
County,
MI
28,589
15,938
26,707
7,333
23,078
Lenawee
County,
MI
31,012
18,537
31,062
9,187
28,913
Livingston
County,
MI
45,439
24,544
41,128
10,882
34,248
Luce
County,
MI
20,370
13,261
22,221
8,048
25,329
Mackinac
County,
MI
19,397
12,454
20,869
6,474
20,375
Macomb
County,
MI
38,931
24,222
40,588
12,569
39,557
Manistee
County,
MI
19,977
14,351
24,048
7,354
23,145
Marquette
County,
MI
25,137
16,517
27,677
7,724
24,309
Mason
County,
MI
21,701
14,410
24,146
7,541
23,733
Mecosta
County,
MI
20,784
13,081
21,920
6,952
21,879
Menominee
County,
MI
21,586
14,195
23,786
6,553
20,624
Midland
County,
MI
33,948
21,527
36,072
11,343
35,699
Missaukee
County,
MI
20,932
12,321
20,646
5,778
18,185
Monroe
County,
MI
35,462
21,356
35,786
10,849
34,144
Montcalm
County,
MI
23,880
14,792
24,787
7,482
23,547
Montmorency
County,
MI
17,819
10,254
17,182
4,905
15,437
Muskegon
County,
MI
25,617
16,167
27,091
8,844
27,834
Newaygo
County,
MI
23,468
14,082
23,597
7,192
22,635
Oakland
County,
MI
43,407
25,323
42,433
13,033
41,018
Oceana
County,
MI
22,383
14,157
23,723
6,889
21,681
Ogemaw
County,
MI
17,665
10,506
17,605
5,663
17,823
Ontonagon
County,
MI
21,147
13,153
22,040
7,500
23,604
Osceola
County,
MI
20,880
12,970
21,734
6,741
21,215
Oscoda
County,
MI
17,772
11,175
18,726
5,540
17,436
Otsego
County,
MI
26,356
15,341
25,707
8,365
26,326
Ottawa
County,
MI
36,507
20,231
33,901
9,684
30,478
Presque
Isle
County,
MI
20,941
12,491
20,931
6,710
21,118
Roscommon
County,
MI
17,047
10,865
18,206
5,578
17,555
St.
Clair
County,
MI
30,692
18,476
30,960
9,087
28,599
St.
Joseph
County,
MI
27,510
16,091
26,963
8,526
26,833
Saginaw
County,
MI
27,980
19,725
33,053
10,001
31,475
Sanilac
County,
MI
23,107
14,586
24,441
7,586
23,875
Schoolcraft
County,
MI
20,112
12,450
20,862
6,439
20,265
Shiawassee
County,
MI
30,283
19,722
33,048
9,563
30,097
Tuscola
County,
MI
27,374
18,332
30,718
8,673
27,296
Van
Buren
County,
MI
25,491
15,394
25,795
7,889
24,828
Washtenaw
County,
MI
36,307
20,696
34,680
10,765
33,880
Wayne
County,
MI
27,997
18,629
31,216
10,089
31,752
Wexford
County,
MI
22,915
13,394
22,444
6,867
21,612
March
12th,
2003
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Income
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Availability:
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Benefits
Meta­
Analysis
Literature
Review
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
A
B
C
D
E
F
Minnesota
$
30,909
$
17,761
$
29,762
$
8,753
$
27,548
Aitkin
County,
MN
17,564
10,663
17,868
4,894
15,402
Anoka
County,
MN
40,076
23,392
39,197
11,629
36,599
Becker
County,
MN
20,920
12,678
21,244
5,593
17,602
Beltrami
County,
MN
20,925
12,244
20,517
6,091
19,170
Benton
County,
MN
26,619
15,517
26,001
7,716
24,284
Big
Stone
County,
MN
19,408
12,318
20,641
5,953
18,735
Blue
Earth
County,
MN
25,366
15,609
26,156
8,140
25,618
Brown
County,
MN
25,032
15,403
25,810
7,185
22,613
Carlton
County,
MN
24,900
16,420
27,515
8,044
25,316
Carver
County,
MN
39,188
20,466
34,294
9,572
30,125
Cass
County,
MN
18,732
10,926
18,308
4,935
15,531
Chippewa
County,
MN
22,227
13,369
22,402
6,186
19,469
Chisago
County,
MN
31,281
18,497
30,995
8,341
26,251
Clay
County,
MN
25,891
16,578
27,779
8,557
26,931
Clearwater
County,
MN
17,752
10,099
16,923
4,564
14,364
Cook
County,
MN
22,908
14,641
24,534
6,704
21,099
Cottonwood
County,
MN
21,661
14,121
23,662
6,319
19,887
Crow
Wing
County,
MN
22,250
12,685
21,256
6,670
20,992
Dakota
County,
MN
42,218
23,587
39,524
11,852
37,301
Dodge
County,
MN
29,071
16,800
28,151
7,299
22,971
Douglas
County,
MN
22,067
13,075
21,909
5,874
18,487
Faribault
County,
MN
22,421
14,417
24,158
6,600
20,772
Fillmore
County,
MN
22,155
13,133
22,007
5,796
18,241
Freeborn
County,
MN
24,764
16,475
27,607
7,871
24,772
Goodhue
County,
MN
29,237
17,036
28,547
7,832
24,649
Grant
County,
MN
19,773
12,034
20,165
5,291
16,652
Hennepin
County,
MN
35,659
20,077
33,643
10,371
32,640
Houston
County,
MN
25,846
15,005
25,144
7,665
24,123
Hubbard
County,
MN
20,151
11,647
19,517
4,933
15,525
Isanti
County,
MN
31,308
17,550
29,408
8,453
26,603
Itasca
County,
MN
22,442
16,157
27,074
7,116
22,396
Jackson
County,
MN
23,157
14,246
23,872
6,323
19,900
Kanabec
County,
MN
22,495
13,374
22,410
6,739
21,209
Kandiyohi
County,
MN
25,368
14,877
24,929
6,905
21,731
Kittson
County,
MN
23,518
13,198
22,116
5,942
18,701
Koochiching
County,
MN
23,411
16,015
26,836
7,531
23,702
Lac
qui
Parle
County,
MN
21,646
12,676
21,241
5,456
17,171
Lake
County,
MN
23,478
20,382
34,154
8,182
25,750
Lake
of
the
Woods
County,
MN
24,383
11,754
19,696
5,587
17,583
Le
Sueur
County,
MN
27,706
16,246
27,223
7,294
22,956
Lincoln
County,
MN
19,211
10,358
17,357
4,615
14,524
Lyon
County,
MN
24,689
14,830
24,850
7,109
22,374
McLeod
County,
MN
29,549
16,885
28,294
7,831
24,646
Mahnomen
County,
MN
16,924
10,485
17,569
4,910
15,453
Marshall
County,
MN
21,707
12,913
21,638
5,473
17,225
March
12th,
2003
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116
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Income
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of
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Availability:
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Use
Benefits
Meta­
Analysis
Literature
Review
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
A
B
C
D
E
F
Martin
County,
MN
24,414
15,302
25,641
7,144
22,484
Meeker
County,
MN
24,516
14,035
23,518
5,940
18,694
Mille
Lacs
County,
MN
22,689
13,187
22,097
6,058
19,066
Morrison
County,
MN
22,102
12,073
20,230
6,014
18,927
Mower
County,
MN
23,763
16,214
27,169
8,709
27,409
Murray
County,
MN
22,673
13,241
22,188
5,973
18,798
Nicollet
County,
MN
30,491
17,063
28,592
8,219
25,867
Nobles
County,
MN
22,942
14,529
24,346
6,764
21,288
Norman
County,
MN
21,238
12,410
20,795
4,997
15,727
Olmsted
County,
MN
35,789
20,066
33,624
9,818
30,899
Otter
Tail
County,
MN
21,909
12,575
21,072
5,836
18,367
Pennington
County,
MN
21,571
14,622
24,502
6,614
20,816
Pine
County,
MN
21,191
12,252
20,530
6,159
19,384
Pipestone
County,
MN
20,737
11,681
19,574
5,757
18,118
Polk
County,
MN
22,559
14,200
23,795
6,648
20,923
Pope
County,
MN
20,131
11,878
19,904
6,572
20,683
Ramsey
County,
MN
32,043
18,939
31,736
9,926
31,239
Red
Lake
County,
MN
19,926
11,653
19,527
5,454
17,165
Redwood
County,
MN
22,827
13,571
22,741
6,271
19,736
Renville
County,
MN
23,278
14,789
24,782
6,027
18,968
Rice
County,
MN
29,596
16,945
28,394
8,241
25,936
Rock
County,
MN
24,483
14,220
23,828
7,104
22,358
Roseau
County,
MN
25,910
13,324
22,327
6,386
20,098
St.
Louis
County,
MN
24,093
17,264
28,929
7,842
24,680
Scott
County,
MN
40,798
22,464
37,642
9,907
31,179
Sherburne
County,
MN
35,585
19,437
32,570
8,700
27,381
Sibley
County,
MN
24,957
14,735
24,691
6,600
20,772
Stearns
County,
MN
27,512
16,020
26,844
7,558
23,787
Steele
County,
MN
30,571
16,866
28,262
8,209
25,835
Stevens
County,
MN
21,921
12,552
21,033
6,660
20,960
Swift
County,
MN
18,740
11,899
19,939
5,427
17,080
Todd
County,
MN
18,836
11,151
18,685
4,605
14,493
Traverse
County,
MN
20,746
12,135
20,334
5,621
17,690
Wabasha
County,
MN
26,998
15,101
25,304
7,081
22,285
Wadena
County,
MN
17,333
11,148
18,680
5,672
17,851
Waseca
County,
MN
26,992
16,252
27,233
7,361
23,167
Washington
County,
MN
44,122
24,257
40,647
11,229
35,340
Watonwan
County,
MN
22,496
14,758
24,730
6,692
21,061
Wilkin
County,
MN
23,081
15,463
25,911
6,493
20,435
Winona
County,
MN
25,937
15,142
25,373
7,377
23,217
Wright
County,
MN
33,456
18,662
31,271
7,940
24,989
Yellow
Medicine
County,
MN
21,537
12,867
21,561
6,122
19,267
Mississippi
$
20,136
$
12,096
$
20,269
$
5,221
$
16,432
Adams
County,
MS
17,214
11,346
19,012
5,647
17,772
Alcorn
County,
MS
18,538
12,043
20,180
5,714
17,983
Amite
County,
MS
15,669
9,545
15,994
3,564
11,217
March
12th,
2003
Page
117
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Income
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of
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Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
A
B
C
D
E
F
Attala
County,
MS
15,380
9,311
15,602
3,919
12,334
Benton
County,
MS
15,794
11,239
18,833
4,065
12,793
Bolivar
County,
MS
14,020
9,128
15,296
3,656
11,506
Calhoun
County,
MS
18,182
10,027
16,802
4,045
12,730
Carroll
County,
MS
16,639
9,647
16,165
3,728
11,733
Chickasaw
County,
MS
18,259
11,503
19,275
4,933
15,525
Choctaw
County,
MS
17,313
9,479
15,884
4,071
12,812
Claiborne
County,
MS
12,876
9,805
16,430
3,353
10,553
Clarke
County,
MS
19,055
11,760
19,706
4,631
14,575
Clay
County,
MS
18,337
12,398
20,775
5,447
17,143
Coahoma
County,
MS
13,780
8,931
14,965
3,577
11,258
Copiah
County,
MS
16,583
10,061
16,859
4,149
13,058
Covington
County,
MS
17,589
9,780
16,388
4,716
14,842
DeSoto
County,
MS
31,756
18,434
30,889
6,887
21,675
Forrest
County,
MS
17,986
11,570
19,388
5,643
17,760
Franklin
County,
MS
14,341
9,403
15,756
3,728
11,733
George
County,
MS
18,397
13,551
22,707
6,091
19,170
Greene
County,
MS
17,958
10,315
17,285
4,085
12,856
Grenada
County,
MS
19,955
12,186
20,420
5,356
16,856
Hancock
County,
MS
20,720
13,139
22,017
5,502
17,316
Harrison
County,
MS
22,157
13,402
22,457
6,526
20,539
Hinds
County,
MS
24,676
14,976
25,095
7,164
22,547
Holmes
County,
MS
9,809
7,030
11,780
2,604
8,195
Humphreys
County,
MS
12,696
7,913
13,260
2,886
9,083
Issaquena
County,
MS
13,005
9,167
15,361
3,495
10,999
Itawamba
County,
MS
20,770
12,214
20,467
5,356
16,856
Jackson
County,
MS
26,444
16,987
28,465
8,012
25,215
Jasper
County,
MS
16,130
10,197
17,087
3,840
12,085
Jefferson
County,
MS
10,267
7,352
12,320
2,291
7,210
Jefferson
Davis
County,
MS
15,442
10,512
17,615
4,010
12,620
Jones
County,
MS
19,239
12,430
20,829
5,645
17,766
Kemper
County,
MS
14,315
8,951
14,999
2,751
8,658
Lafayette
County,
MS
18,186
11,534
19,327
5,098
16,044
Lamar
County,
MS
23,263
14,043
23,532
5,103
16,060
Lauderdale
County,
MS
20,414
12,257
20,539
5,570
17,530
Lawrence
County,
MS
17,519
12,377
20,740
4,264
13,420
Leake
County,
MS
15,975
9,122
15,286
3,663
11,528
Lee
County,
MS
24,647
13,651
22,875
6,259
19,698
Leflore
County,
MS
15,219
9,550
16,003
4,406
13,867
Lincoln
County,
MS
18,193
12,078
20,239
4,875
15,343
Lowndes
County,
MS
22,985
12,683
21,253
5,927
18,654
Madison
County,
MS
25,887
12,157
20,371
4,384
13,797
Marion
County,
MS
16,084
10,761
18,032
4,318
13,590
Marshall
County,
MS
18,492
11,008
18,446
4,205
13,234
Monroe
County,
MS
20,047
11,718
19,636
5,408
17,020
Montgomery
County,
MS
15,396
9,524
15,959
4,145
13,045
Neshoba
County,
MS
18,237
10,880
18,231
4,672
14,704
March
12th,
2003
Page
118
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157
5­
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County
Income
Record
for
the
316(
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of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
A
B
C
D
E
F
Newton
County,
MS
19,302
10,564
17,702
4,643
14,612
Noxubee
County,
MS
14,205
8,662
14,515
3,248
10,222
Oktibbeha
County,
MS
18,507
10,956
18,359
5,118
16,107
Panola
County,
MS
17,686
9,654
16,177
4,217
13,272
Pearl
River
County,
MS
20,133
12,085
20,251
5,562
17,505
Perry
County,
MS
16,230
11,015
18,458
4,644
14,616
Pike
County,
MS
15,149
10,524
17,635
4,346
13,678
Pontotoc
County,
MS
20,223
11,335
18,994
4,274
13,451
Prentiss
County,
MS
17,736
11,150
18,684
4,970
15,642
Quitman
County,
MS
13,730
8,157
13,668
2,739
8,620
Rankin
County,
MS
31,668
18,348
30,745
7,034
22,137
Scott
County,
MS
17,040
10,752
18,017
4,500
14,162
Sharkey
County,
MS
13,304
8,250
13,824
3,442
10,833
Simpson
County,
MS
19,053
11,718
19,636
4,771
15,015
Smith
County,
MS
19,111
10,383
17,399
4,809
15,135
Stone
County,
MS
19,045
13,104
21,958
5,845
18,395
Sunflower
County,
MS
14,431
9,622
16,123
3,424
10,776
Tallahatchie
County,
MS
13,593
7,900
13,238
2,773
8,727
Tate
County,
MS
22,207
12,109
20,291
4,817
15,160
Tippah
County,
MS
17,991
10,346
17,337
4,429
13,939
Tishomingo
County,
MS
17,500
12,678
21,244
4,786
15,063
Tunica
County,
MS
10,965
6,620
11,093
2,579
8,117
Union
County,
MS
21,128
11,499
19,269
4,957
15,601
Walthall
County,
MS
14,135
10,251
17,177
4,110
12,935
Warren
County,
MS
22,804
15,869
26,591
6,084
19,148
Washington
County,
MS
17,492
10,603
17,767
4,784
15,056
Wayne
County,
MS
16,095
10,304
17,266
4,463
14,046
Webster
County,
MS
17,094
11,302
18,938
4,189
13,184
Wilkinson
County,
MS
11,910
9,120
15,282
3,380
10,638
Winston
County,
MS
18,320
10,686
17,906
4,607
14,499
Yalobusha
County,
MS
15,885
10,293
17,248
3,861
12,151
Yazoo
County,
MS
14,234
9,830
16,472
3,643
11,465
Missouri
$
26,362
$
15,581
$
26,109
$
7,672
$
24,145
Adair
County,
MO
17,285
12,146
20,353
5,568
17,524
Andrew
County,
MO
26,103
15,322
25,675
6,560
20,646
Atchison
County,
MO
20,126
13,029
21,832
6,137
19,314
Audrain
County,
MO
23,424
15,505
25,981
6,895
21,700
Barry
County,
MO
19,169
11,130
18,650
4,750
14,949
Barton
County,
MO
19,951
11,230
18,818
4,792
15,081
Bates
County,
MO
20,085
11,850
19,857
5,041
15,865
Benton
County,
MO
16,925
10,320
17,293
4,446
13,992
Bollinger
County,
MO
19,430
9,936
16,650
4,012
12,627
Boone
County,
MO
25,647
15,523
26,012
7,864
24,750
Buchanan
County,
MO
23,019
14,305
23,971
6,909
21,744
Butler
County,
MO
16,285
9,981
16,725
4,259
13,404
Caldwell
County,
MO
19,448
11,694
19,595
4,655
14,650
March
12th,
2003
Page
119
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
A
B
C
D
E
F
Callaway
County,
MO
26,663
17,043
28,559
7,023
22,103
Camden
County,
MO
22,564
11,755
19,698
4,751
14,952
Cape
Girardeau
County,
MO
24,510
14,832
24,854
7,031
22,128
Carroll
County,
MO
19,697
11,992
20,095
5,535
17,420
Carter
County,
MO
15,357
9,423
15,790
4,596
14,465
Cass
County,
MO
31,373
19,000
31,838
7,928
24,951
Cedar
County,
MO
16,939
9,843
16,494
4,203
13,228
Chariton
County,
MO
20,829
12,384
20,752
4,769
15,009
Christian
County,
MO
25,995
14,143
23,699
5,867
18,465
Clark
County,
MO
19,674
12,297
20,606
5,452
17,159
Clay
County,
MO
34,370
21,029
35,238
10,429
32,822
Clinton
County,
MO
26,306
16,212
27,166
6,477
20,384
Cole
County,
MO
30,362
18,077
30,291
8,587
27,025
Cooper
County,
MO
22,785
13,681
22,925
6,674
21,004
Crawford
County,
MO
19,711
11,802
19,776
5,528
17,398
Dade
County,
MO
18,724
11,218
18,798
4,038
12,708
Dallas
County,
MO
16,673
9,592
16,073
3,775
11,881
Daviess
County,
MO
18,351
11,346
19,012
4,480
14,099
DeKalb
County,
MO
22,771
11,915
19,966
5,113
16,092
Dent
County,
MO
16,594
10,798
18,094
4,711
14,826
Douglas
County,
MO
16,187
9,134
15,306
3,586
11,286
Dunklin
County,
MO
15,388
9,775
16,380
4,098
12,897
Franklin
County,
MO
28,622
16,612
27,836
7,803
24,558
Gasconade
County,
MO
22,328
12,633
21,169
5,667
17,835
Gentry
County,
MO
17,594
10,706
17,940
4,479
14,096
Greene
County,
MO
24,285
14,380
24,096
6,961
21,908
Grundy
County,
MO
18,084
11,577
19,399
5,384
16,945
Harrison
County,
MO
17,460
10,158
17,022
4,130
12,998
Henry
County,
MO
18,476
12,122
20,313
5,324
16,756
Hickory
County,
MO
16,010
8,608
14,424
3,824
12,035
Holt
County,
MO
18,729
11,616
19,465
5,698
17,933
Howard
County,
MO
21,378
12,025
20,150
5,317
16,734
Howell
County,
MO
16,564
9,760
16,355
4,395
13,832
Iron
County,
MO
17,303
11,760
19,706
5,303
16,690
Jackson
County,
MO
27,853
16,887
28,297
8,519
26,811
Jasper
County,
MO
20,924
12,485
20,921
5,974
18,801
Jefferson
County,
MO
32,281
19,597
32,838
9,221
29,020
Johnson
County,
MO
23,044
13,515
22,647
6,404
20,155
Knox
County,
MO
17,293
11,210
18,784
4,886
15,377
Laclede
County,
MO
20,122
11,123
18,639
5,387
16,954
Lafayette
County,
MO
24,669
15,638
26,204
7,163
22,543
Lawrence
County,
MO
20,643
11,532
19,324
5,333
16,784
Lewis
County,
MO
20,575
13,703
22,962
6,069
19,100
Lincoln
County,
MO
28,054
15,561
26,075
6,727
21,171
Linn
County,
MO
17,367
11,265
18,876
4,775
15,028
Livingston
County,
MO
21,647
13,311
22,305
5,924
18,644
Macon
County,
MO
20,271
12,606
21,124
5,268
16,579
March
12th,
2003
Page
120
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
A
B
C
D
E
F
Madison
County,
MO
17,100
9,616
16,113
5,090
16,019
Maries
County,
MO
19,041
11,605
19,446
5,164
16,252
Marion
County,
MO
21,420
13,928
23,339
6,133
19,302
McDonald
County,
MO
17,312
10,347
17,338
4,548
14,314
Mercer
County,
MO
16,629
9,856
16,515
4,369
13,750
Miller
County,
MO
18,985
11,859
19,872
5,500
17,310
Mississippi
County,
MO
16,159
10,373
17,382
4,202
13,225
Moniteau
County,
MO
22,110
12,952
21,703
5,444
17,133
Monroe
County,
MO
19,804
12,400
20,778
5,020
15,799
Montgomery
County,
MO
21,726
12,277
20,572
5,666
17,832
Morgan
County,
MO
19,158
10,383
17,399
4,947
15,569
New
Madrid
County,
MO
17,491
10,044
16,830
3,969
12,491
Newton
County,
MO
22,263
12,528
20,993
5,953
18,735
Nodaway
County,
MO
20,347
12,616
21,140
5,557
17,489
Oregon
County,
MO
13,705
7,937
13,300
2,986
9,398
Osage
County,
MO
24,983
14,212
23,815
6,522
20,526
Ozark
County,
MO
16,417
9,152
15,336
3,707
11,667
Pemiscot
County,
MO
13,911
9,142
15,319
3,863
12,158
Perry
County,
MO
23,803
12,734
21,338
5,572
17,536
Pettis
County,
MO
22,101
13,399
22,452
6,001
18,886
Phelps
County,
MO
20,885
12,367
20,723
6,533
20,561
Pike
County,
MO
21,178
12,933
21,672
5,969
18,786
Platte
County,
MO
38,173
22,499
37,701
10,213
32,142
Polk
County,
MO
18,672
10,731
17,982
4,501
14,166
Pulaski
County,
MO
21,559
12,181
20,411
6,195
19,497
Putnam
County,
MO
15,549
9,752
16,341
3,772
11,871
Ralls
County,
MO
22,070
15,316
25,665
6,320
19,890
Randolph
County,
MO
21,425
13,252
22,206
5,843
18,389
Ray
County,
MO
27,124
16,714
28,007
7,158
22,528
Reynolds
County,
MO
17,008
10,279
17,224
4,124
12,979
Ripley
County,
MO
13,740
8,004
13,412
3,056
9,618
Saline
County,
MO
21,685
13,154
22,042
6,110
19,229
Schuyler
County,
MO
16,729
10,645
17,838
4,098
12,897
Scotland
County,
MO
15,944
9,957
16,685
3,984
12,538
Scott
County,
MO
20,764
12,886
21,593
6,242
19,645
Shannon
County,
MO
14,910
8,985
15,056
4,205
13,234
Shelby
County,
MO
18,316
11,030
18,483
4,908
15,446
Ste.
Genevieve
County,
MO
26,712
16,093
26,967
6,935
21,826
Stoddard
County,
MO
18,259
10,885
18,240
4,626
14,559
Stone
County,
MO
21,049
11,461
19,205
4,928
15,509
St.
Charles
County,
MO
40,307
22,408
37,549
10,321
32,482
St.
Clair
County,
MO
17,265
9,394
15,741
3,750
11,802
St.
Francois
County,
MO
20,745
13,182
22,089
6,215
19,560
St.
Louis
County,
MO
38,127
22,127
37,078
11,795
37,121
Sullivan
County,
MO
15,826
9,652
16,174
4,419
13,908
Taney
County,
MO
20,260
11,849
19,855
5,106
16,070
Texas
County,
MO
16,757
9,810
16,438
4,468
14,062
March
12th,
2003
Page
121
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
A
B
C
D
E
F
Vernon
County,
MO
19,641
11,993
20,096
5,191
16,337
Warren
County,
MO
28,944
16,105
26,987
7,381
23,230
Washington
County,
MO
17,117
11,421
19,138
5,424
17,070
Wayne
County,
MO
13,815
8,464
14,183
3,855
12,132
Webster
County,
MO
20,525
12,012
20,128
5,019
15,796
Worth
County,
MO
14,568
9,342
15,654
4,617
14,531
Wright
County,
MO
15,770
9,728
16,301
4,081
12,844
INDEPENDENT
CITY:

St.
Louis
city,
MO
$
19,458
$
11,511
$
19,289
$
6,566
$
20,665
Montana
$
22,988
$
15,420
$
25,839
$
7,436
$
23,403
Beaverhead
County,
MT
20,925
12,807
21,460
6,089
19,163
Big
Horn
County,
MT
19,101
13,909
23,307
6,379
20,076
Blaine
County,
MT
18,512
12,987
21,762
5,487
17,269
Broadwater
County,
MT
20,257
13,614
22,813
6,498
20,451
Carbon
County,
MT
19,042
12,230
20,494
5,095
16,035
Carter
County,
MT
16,458
11,230
18,818
6,882
21,659
Cascade
County,
MT
23,700
16,050
26,895
7,960
25,052
Chouteau
County,
MT
22,362
15,128
25,350
7,851
24,709
Custer
County,
MT
21,348
13,839
23,190
6,969
21,933
Daniels
County,
MT
21,433
13,511
22,640
6,654
20,942
Dawson
County,
MT
23,414
17,230
28,872
8,154
25,662
Deer
Lodge
County,
MT
20,281
15,893
26,632
7,063
22,229
Fallon
County,
MT
23,162
16,175
27,104
7,633
24,023
Fergus
County,
MT
21,398
12,241
20,512
7,100
22,345
Flathead
County,
MT
24,145
16,099
26,977
7,509
23,632
Gallatin
County,
MT
23,345
15,325
25,680
7,594
23,900
Garfield
County,
MT
17,201
11,912
19,961
6,225
19,591
Glacier
County,
MT
18,598
13,404
22,461
6,577
20,699
Golden
Valley
County,
MT
18,062
11,277
18,897
5,968
18,783
Granite
County,
MT
18,278
12,719
21,313
6,338
19,947
Hill
County,
MT
25,467
16,561
27,751
7,551
23,765
Jefferson
County,
MT
31,400
16,777
28,113
7,346
23,119
Judith
Basin
County,
MT
22,578
12,985
21,759
6,203
19,522
Lake
County,
MT
19,755
12,270
20,561
5,900
18,569
Lewis
and
Clark
County,
MT
26,409
16,960
28,419
8,608
27,091
Liberty
County,
MT
24,969
14,339
24,028
7,303
22,984
Lincoln
County,
MT
20,898
15,650
26,224
8,903
28,020
McCone
County,
MT
20,487
11,987
20,086
7,500
23,604
Madison
County,
MT
22,066
12,135
20,334
5,788
18,216
Meagher
County,
MT
18,936
13,011
21,802
5,893
18,546
Mineral
County,
MT
20,938
16,065
26,920
8,120
25,555
Missoula
County,
MT
23,388
16,269
27,262
7,882
24,806
Musselshell
County,
MT
16,661
11,432
19,156
5,069
15,953
Park
County,
MT
22,658
14,612
24,485
6,581
20,712
Petroleum
County,
MT
19,219
10,848
18,178
6,512
20,495
March
12th,
2003
Page
122
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
A
B
C
D
E
F
Phillips
County,
MT
22,245
11,921
19,976
6,305
19,843
Pondera
County,
MT
23,533
16,126
27,022
6,811
21,436
Powder
River
County,
MT
22,354
15,065
25,244
7,712
24,271
Powell
County,
MT
21,621
14,697
24,627
7,601
23,922
Prairie
County,
MT
16,694
9,450
15,835
6,286
19,783
Ravalli
County,
MT
21,113
13,254
22,209
5,962
18,764
Richland
County,
MT
23,264
17,615
29,517
6,581
20,712
Roosevelt
County,
MT
19,445
14,812
24,820
6,602
20,778
Rosebud
County,
MT
27,192
16,750
28,068
5,855
18,427
Sanders
County,
MT
18,616
12,615
21,139
6,444
20,281
Sheridan
County,
MT
20,728
14,953
25,056
7,655
24,092
Silver
Bow
County,
MT
21,216
14,591
24,450
7,205
22,676
Stillwater
County,
MT
23,582
13,240
22,186
5,845
18,395
Sweet
Grass
County,
MT
20,867
11,421
19,138
5,409
17,023
Teton
County,
MT
22,072
14,012
23,480
6,799
21,398
Toole
County,
MT
25,108
14,143
23,699
7,479
23,538
Treasure
County,
MT
18,152
12,122
20,313
6,375
20,063
Valley
County,
MT
21,781
14,550
24,381
7,090
22,314
Wheatland
County,
MT
16,946
12,549
21,028
5,851
18,414
Wibaux
County,
MT
19,375
11,173
18,722
6,398
20,136
Yellowstone
County,
MT
25,942
17,460
29,257
7,892
24,838
Yellowstone
National
Park,
M
31,250
12,292
20,597
(
NA)
(
NA)

Nebraska
$
26,016
$
15,925
$
26,685
$
7,426
$
23,371
Adams
County,
NE
24,399
15,307
25,650
7,250
22,817
Antelope
County,
NE
18,447
10,604
17,769
5,317
16,734
Arthur
County,
NE
19,038
12,065
20,217
5,136
16,164
Banner
County,
NE
22,176
11,893
19,929
7,616
23,969
Blaine
County,
NE
19,716
10,469
17,543
6,563
20,655
Boone
County,
NE
21,653
10,900
18,265
5,849
18,408
Box
Butte
County,
NE
26,493
18,326
30,708
6,338
19,947
Boyd
County,
NE
16,329
9,351
15,669
3,773
11,874
Brown
County,
NE
17,067
10,899
18,263
4,969
15,638
Buffalo
County,
NE
23,999
15,202
25,474
6,566
20,665
Burt
County,
NE
21,061
12,577
21,075
6,248
19,664
Butler
County,
NE
23,267
13,612
22,809
5,128
16,139
Cass
County,
NE
28,490
16,985
28,461
6,960
21,905
Cedar
County,
NE
21,014
11,557
19,366
4,664
14,679
Chase
County,
NE
21,488
12,278
20,574
5,657
17,804
Cherry
County,
NE
18,962
13,863
23,230
6,290
19,796
Cheyenne
County,
NE
23,400
15,071
25,254
6,455
20,315
Clay
County,
NE
22,949
13,836
23,185
6,241
19,642
Colfax
County,
NE
22,140
12,991
21,769
5,913
18,609
Cuming
County,
NE
21,623
14,472
24,250
6,001
18,886
Custer
County,
NE
21,440
12,338
20,674
5,698
17,933
Dakota
County,
NE
25,397
16,967
28,431
7,623
23,991
Dawes
County,
NE
17,784
12,888
21,596
5,852
18,417
March
12th,
2003
Page
123
of
157
5­
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­
County
Income
Record
for
the
316(
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Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
A
B
C
D
E
F
Dawson
County,
NE
22,420
16,401
27,483
6,885
21,669
Deuel
County,
NE
21,272
13,775
23,082
6,761
21,278
Dixon
County,
NE
20,047
11,964
20,048
6,068
19,097
Dodge
County,
NE
24,817
16,123
27,017
7,741
24,363
Douglas
County,
NE
29,857
17,720
29,693
9,083
28,586
Dundy
County,
NE
21,271
11,698
19,602
5,912
18,606
Fillmore
County,
NE
23,219
13,881
23,260
6,422
20,211
Franklin
County,
NE
20,553
11,538
19,334
5,197
16,356
Frontier
County,
NE
20,364
12,837
21,511
5,384
16,945
Furnas
County,
NE
17,949
10,897
18,260
5,117
16,104
Gage
County,
NE
22,876
13,915
23,317
6,555
20,630
Garden
County,
NE
18,614
12,755
21,373
4,952
15,585
Garfield
County,
NE
17,308
10,821
18,132
5,600
17,624
Gosper
County,
NE
25,669
13,136
22,012
6,250
19,670
Grant
County,
NE
19,063
12,358
20,708
7,321
23,041
Greeley
County,
NE
18,248
9,323
15,622
4,728
14,880
Hall
County,
NE
25,546
16,703
27,989
7,802
24,555
Hamilton
County,
NE
25,026
15,764
26,415
6,584
20,721
Harlan
County,
NE
18,478
11,628
19,485
5,613
17,665
Hayes
County,
NE
20,531
11,060
18,533
4,680
14,729
Hitchcock
County,
NE
19,735
12,409
20,793
5,398
16,989
Holt
County,
NE
20,059
11,563
19,376
5,268
16,579
Hooker
County,
NE
18,682
10,944
18,339
7,101
22,348
Howard
County,
NE
21,688
13,530
22,672
5,781
18,194
Jefferson
County,
NE
21,740
12,704
21,288
5,449
17,149
Johnson
County,
NE
19,925
11,521
19,305
5,635
17,735
Kearney
County,
NE
27,207
15,368
25,752
7,595
23,903
Keith
County,
NE
22,909
15,846
26,553
7,616
23,969
Keya
Paha
County,
NE
17,202
11,089
18,582
4,347
13,681
Kimball
County,
NE
23,232
15,054
25,226
8,429
26,528
Knox
County,
NE
17,877
10,818
18,127
4,470
14,068
Lancaster
County,
NE
28,909
17,428
29,204
8,418
26,493
Lincoln
County,
NE
25,915
18,378
30,796
7,196
22,647
Logan
County,
NE
21,250
10,625
17,804
6,944
21,854
Loup
County,
NE
17,933
12,375
20,736
6,552
20,621
McPherson
County,
NE
17,500
12,857
21,544
5,212
16,403
Madison
County,
NE
24,461
16,007
26,823
6,915
21,763
Merrick
County,
NE
22,518
15,251
25,556
6,608
20,797
Morrill
County,
NE
19,398
11,002
18,436
5,374
16,913
Nance
County,
NE
20,742
11,103
18,605
5,500
17,310
Nemaha
County,
NE
22,383
13,429
22,503
6,754
21,256
Nuckolls
County,
NE
20,250
13,041
21,852
5,604
17,637
Otoe
County,
NE
23,189
14,452
24,217
6,812
21,439
Pawnee
County,
NE
18,286
9,934
16,646
4,458
14,030
Perkins
County,
NE
23,132
13,640
22,856
7,628
24,007
Phelps
County,
NE
26,693
15,300
25,638
6,858
21,584
Pierce
County,
NE
22,293
12,972
21,737
5,274
16,598
March
12th,
2003
Page
124
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
A
B
C
D
E
F
Platte
County,
NE
26,123
17,302
28,993
7,614
23,963
Polk
County,
NE
25,959
13,756
23,051
6,486
20,413
Red
Willow
County,
NE
22,336
15,280
25,604
6,488
20,419
Richardson
County,
NE
19,521
11,621
19,473
5,180
16,303
Rock
County,
NE
18,974
12,460
20,879
5,294
16,661
Saline
County,
NE
24,455
15,223
25,509
6,209
19,541
Sarpy
County,
NE
35,575
20,446
34,261
9,916
31,208
Saunders
County,
NE
26,058
15,587
26,119
6,677
21,014
Scotts
Bluff
County,
NE
21,369
14,472
24,250
7,125
22,424
Seward
County,
NE
27,200
15,847
26,554
6,926
21,798
Sheridan
County,
NE
19,237
13,412
22,474
5,858
18,436
Sherman
County,
NE
17,025
10,613
17,784
4,946
15,566
Sioux
County,
NE
18,810
14,174
23,751
5,609
17,653
Stanton
County,
NE
24,375
15,788
26,456
6,024
18,959
Thayer
County,
NE
20,298
13,502
22,625
5,360
16,869
Thomas
County,
NE
17,273
13,415
22,479
6,065
19,088
Thurston
County,
NE
18,588
12,393
20,767
5,621
17,690
Valley
County,
NE
19,201
11,295
18,927
4,834
15,214
Washington
County,
NE
29,805
17,960
30,095
7,850
24,706
Wayne
County,
NE
20,956
13,813
23,146
5,980
18,820
Webster
County,
NE
18,349
11,559
19,369
4,591
14,449
Wheeler
County,
NE
22,604
11,127
18,645
5,299
16,677
York
County,
NE
25,722
15,761
26,410
6,983
21,977
Nevada
$
31,011
$
18,211
$
30,516
$
9,505
$
29,914
Churchill
County,
NV
29,007
14,128
23,674
7,419
23,349
Clark
County,
NV
30,746
18,102
30,333
9,823
30,915
Douglas
County,
NV
35,209
21,133
35,412
9,804
30,855
Elko
County,
NV
33,715
16,217
27,174
8,651
27,226
Esmeralda
County,
NV
25,577
17,371
29,108
4,714
14,836
Eureka
County,
NV
31,047
13,187
22,097
7,455
23,462
Humboldt
County,
NV
33,269
14,591
24,450
7,657
24,098
Lander
County,
NV
33,988
18,008
30,176
7,970
25,083
Lincoln
County,
NV
20,872
14,252
23,882
7,771
24,457
Lyon
County,
NV
25,065
16,132
27,032
8,355
26,295
Mineral
County,
NV
26,278
14,674
24,589
9,184
28,904
Nye
County,
NV
30,211
16,548
27,729
8,510
26,783
Pershing
County,
NV
27,519
14,185
23,769
8,204
25,820
Storey
County,
NV
32,457
17,411
29,175
7,125
22,424
Washoe
County,
NV
31,891
19,560
32,776
9,525
29,977
White
Pine
County,
NV
27,427
16,050
26,895
8,587
27,025
INDEPENDENT
CITY:

Carson
City,
NV
$
31,570
$
18,676
$
31,295
$
10,359
$
32,602
New
Hampshire
$
36,329
$
17,013
$
28,508
$
8,652
$
27,230
Belknap
County,
NH
31,474
15,225
25,512
8,277
26,049
March
12th,
2003
Page
125
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157
5­
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County
Income
Record
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316(
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Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
A
B
C
D
E
F
Carroll
County,
NH
28,145
13,561
22,724
7,094
22,326
Cheshire
County,
NH
31,648
16,037
26,873
8,504
26,764
Coos
County,
NH
25,897
13,699
22,955
7,101
22,348
Grafton
County,
NH
30,065
14,523
24,336
7,950
25,020
Hillsborough
County,
NH
40,404
18,689
31,317
9,182
28,898
Merrimack
County,
NH
35,801
16,717
28,012
8,613
27,107
Rockingham
County,
NH
41,881
18,993
31,826
9,182
28,898
Strafford
County,
NH
32,812
16,118
27,009
8,395
26,421
Sullivan
County,
NH
29,053
15,304
25,645
7,550
23,761
New
Jersey
$
40,927
$
19,800
$
33,178
$
10,371
$
32,640
Atlantic
County,
NJ
33,716
15,752
26,395
7,219
22,720
Bergen
County,
NJ
49,249
24,053
40,305
12,655
39,828
Burlington
County,
NJ
42,373
21,197
35,519
10,812
34,028
Camden
County,
NJ
36,190
18,056
30,256
9,923
31,230
Cape
May
County,
NJ
30,435
14,048
23,540
6,808
21,426
Cumberland
County,
NJ
29,985
15,378
25,769
8,421
26,503
Essex
County,
NJ
34,518
16,186
27,122
9,146
28,784
Gloucester
County,
NJ
39,387
19,837
33,240
9,877
31,085
Hudson
County,
NJ
30,917
14,384
24,103
8,307
26,144
Hunterdon
County,
NJ
54,628
24,115
40,409
10,592
33,335
Mercer
County,
NJ
41,227
19,659
32,942
10,067
31,683
Middlesex
County,
NJ
45,623
22,826
38,249
11,492
36,168
Monmouth
County,
NJ
45,912
21,061
35,291
10,564
33,247
Morris
County,
NJ
56,273
26,626
44,617
12,758
40,152
Ocean
County,
NJ
33,110
16,224
27,186
8,291
26,094
Passaic
County,
NJ
37,596
17,907
30,006
9,755
30,701
Salem
County,
NJ
33,155
18,017
30,191
9,318
29,326
Somerset
County,
NJ
55,519
26,235
43,961
12,634
39,762
Sussex
County,
NJ
48,823
21,870
36,647
10,131
31,884
Union
County,
NJ
41,791
21,625
36,236
11,590
36,476
Warren
County,
NJ
39,929
18,969
31,786
9,157
28,819
New
Mexico
$
24,087
$
14,654
$
24,555
$
7,096
$
22,333
Bernalillo
County,
NM
27,382
16,239
27,211
8,092
25,467
Catron
County,
NM
18,460
10,265
17,201
5,975
18,805
Chaves
County,
NM
21,764
12,376
20,738
6,323
19,900
Cibola
County,
NM
16,848
(
NA)
(
NA)
(
NA)
(
NA)

Colfax
County,
NM
20,800
12,381
20,747
5,828
18,342
Curry
County,
NM
21,303
13,077
21,913
6,561
20,649
DeBaca
County,
NM
15,686
9,699
16,252
4,500
14,162
Dona
Ana
County,
NM
21,859
12,362
20,715
6,698
21,080
Eddy
County,
NM
23,418
14,725
24,674
6,854
21,571
Grant
County,
NM
21,350
15,903
26,648
7,171
22,569
Guadalupe
County,
NM
13,350
8,798
14,743
4,295
13,517
Harding
County,
NM
19,020
10,991
18,417
5,929
18,660
March
12th,
2003
Page
126
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157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
A
B
C
D
E
F
Hidalgo
County,
NM
23,504
13,449
22,536
6,172
19,425
Lea
County,
NM
23,352
18,381
30,801
8,124
25,568
Lincoln
County,
NM
19,489
13,425
22,496
5,488
17,272
Los
Alamos
County,
NM
54,801
27,901
46,753
14,273
44,920
Luna
County,
NM
15,684
9,849
16,504
5,555
17,483
McKinley
County,
NM
17,468
12,124
20,316
6,414
20,186
Mora
County,
NM
12,993
7,600
12,735
2,559
8,054
Otero
County,
NM
22,624
13,416
22,481
7,671
24,142
Quay
County,
NM
18,711
12,392
20,765
5,965
18,773
Rio
Arriba
County,
NM
18,373
10,461
17,529
4,895
15,406
Roosevelt
County,
NM
18,699
10,095
16,916
5,423
17,067
Sandoval
County,
NM
28,950
14,535
24,356
4,974
15,654
San
Juan
County,
NM
22,300
16,691
27,969
7,572
23,831
San
Miguel
County,
NM
17,885
9,062
15,185
3,929
12,365
Santa
Fe
County,
NM
29,403
15,852
26,563
7,059
22,216
Sierra
County,
NM
15,612
7,959
13,337
3,714
11,689
Socorro
County,
NM
19,165
10,910
18,282
5,414
17,039
Taos
County,
NM
16,966
10,717
17,958
4,490
14,131
Torrance
County,
NM
19,619
10,830
18,148
4,221
13,284
Union
County,
NM
18,227
11,170
18,717
4,816
15,157
Valencia
County,
NM
24,312
16,178
27,109
6,980
21,968
New
York
$
32,965
$
16,647
$
27,895
$
9,268
$
29,168
Albany
County,
NY
33,358
17,006
28,497
9,388
29,546
Allegany
County,
NY
24,164
13,617
22,818
7,516
23,654
Bronx
County,
NY
21,944
10,947
18,344
7,102
22,351
Broome
County,
NY
28,743
16,263
27,252
9,093
28,618
Cattaraugus
County,
NY
23,421
14,140
23,694
7,495
23,588
Cayuga
County,
NY
27,568
15,603
26,146
8,148
25,643
Chautauqua
County,
NY
24,183
14,902
24,971
7,673
24,149
Chemung
County,
NY
26,135
15,213
25,492
8,127
25,577
Chenango
County,
NY
26,032
14,269
23,910
8,152
25,656
Clinton
County,
NY
26,903
14,186
23,771
7,517
23,658
Columbia
County,
NY
29,785
14,989
25,117
7,568
23,818
Cortland
County,
NY
26,791
14,248
23,875
7,981
25,118
Delaware
County,
NY
24,132
13,565
22,731
7,444
23,428
Dutchess
County,
NY
42,250
20,267
33,961
10,820
34,053
Erie
County,
NY
28,005
17,119
28,686
9,272
29,181
Essex
County,
NY
25,002
13,711
22,975
7,281
22,915
Franklin
County,
NY
21,791
12,265
20,552
6,652
20,935
Fulton
County,
NY
23,862
13,898
23,289
7,581
23,859
Genesee
County,
NY
30,955
17,612
29,512
9,176
28,879
Greene
County,
NY
27,469
13,679
22,922
7,318
23,031
Hamilton
County,
NY
23,195
12,282
20,581
6,090
19,166
Herkimer
County,
NY
23,075
14,030
23,510
8,423
26,509
Jefferson
County,
NY
25,929
13,547
22,700
7,549
23,758
Kings
County,
NY
25,684
11,919
19,972
7,500
23,604
March
12th,
2003
Page
127
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
A
B
C
D
E
F
Lewis
County,
NY
25,599
14,472
24,250
7,236
22,773
Livingston
County,
NY
30,981
16,987
28,465
9,587
30,172
Madison
County,
NY
29,547
16,091
26,963
8,692
27,356
Monroe
County,
NY
35,337
20,194
33,839
11,219
35,309
Montgomery
County,
NY
24,068
14,030
23,510
7,744
24,372
Nassau
County,
NY
54,283
26,090
43,718
13,859
43,617
New
York
County,
NY
32,262
13,904
23,299
7,471
23,513
Niagara
County,
NY
28,408
17,834
29,884
9,283
29,216
Oneida
County,
NY
26,710
15,261
25,572
8,615
27,113
Onondaga
County,
NY
31,783
17,574
29,448
9,557
30,078
Ontario
County,
NY
33,133
18,033
30,217
9,386
29,540
Orange
County,
NY
39,198
18,012
30,182
9,005
28,341
Orleans
County,
NY
28,359
17,246
28,899
8,974
28,243
Oswego
County,
NY
29,083
16,156
27,072
8,284
26,071
Otsego
County,
NY
25,099
13,081
21,920
7,491
23,576
Putnam
County,
NY
53,634
24,103
40,389
11,527
36,278
Queens
County,
NY
34,186
17,028
28,533
10,307
32,438
Rensselaer
County,
NY
31,958
15,970
26,761
8,761
27,573
Richmond
County,
NY
43,861
21,204
35,531
11,317
35,617
Rockland
County,
NY
52,731
25,648
42,978
12,920
40,662
St.
Lawrence
County,
NY
23,799
13,673
22,912
7,719
24,293
Saratoga
County,
NY
36,635
18,325
30,707
9,571
30,122
Schenectady
County,
NY
31,569
16,928
28,366
9,342
29,401
Schoharie
County,
NY
26,077
13,750
23,041
7,494
23,585
Schuyler
County,
NY
25,712
14,477
24,259
7,640
24,045
Seneca
County,
NY
28,604
16,396
27,474
8,781
27,636
Steuben
County,
NY
25,312
14,988
25,115
7,974
25,096
Suffolk
County,
NY
49,128
22,359
37,466
11,751
36,983
Sullivan
County,
NY
27,582
12,988
21,764
7,507
23,626
Tioga
County,
NY
31,497
17,322
29,026
9,341
29,398
Tompkins
County,
NY
27,742
14,400
24,130
8,761
27,573
Ulster
County,
NY
34,033
15,691
26,293
8,629
27,157
Warren
County,
NY
30,434
14,617
24,493
7,656
24,095
Washington
County,
NY
28,660
14,759
24,731
7,842
24,680
Wayne
County,
NY
32,469
17,723
29,698
9,484
29,848
Westchester
County,
NY
48,405
22,725
38,080
12,419
39,085
Wyoming
County,
NY
27,515
16,019
26,843
8,588
27,028
Yates
County,
NY
24,874
13,610
22,806
8,060
25,366
North
Carolina
$
26,647
$
14,481
$
24,265
$
7,025
$
22,109
Alamance
County,
NC
27,231
15,672
26,261
8,551
26,912
Alexander
County,
NC
26,539
15,004
25,142
7,404
23,302
Alleghany
County,
NC
18,476
10,698
17,926
4,896
15,409
Anson
County,
NC
21,836
12,289
20,592
5,148
16,202
Ashe
County,
NC
18,951
10,372
17,380
4,777
15,034
Avery
County,
NC
20,403
11,135
18,659
4,897
15,412
Beaufort
County,
NC
21,738
11,984
20,081
5,480
17,247
Bertie
County,
NC
17,795
9,818
16,452
4,244
13,357
March
12th,
2003
Page
128
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
A
B
C
D
E
F
Bladen
County,
NC
19,015
10,821
18,132
4,939
15,544
Brunswick
County,
NC
23,480
12,883
21,588
5,822
18,323
Buncombe
County,
NC
25,847
14,030
23,510
6,838
21,521
Burke
County,
NC
25,879
14,328
24,009
7,652
24,082
Cabarrus
County,
NC
30,133
15,887
26,621
8,014
25,222
Caldwell
County,
NC
25,691
14,552
24,384
7,378
23,220
Camden
County,
NC
26,699
15,007
25,147
5,825
18,332
Carteret
County,
NC
25,811
14,012
23,480
6,505
20,473
Caswell
County,
NC
22,736
12,683
21,253
6,326
19,909
Catawba
County,
NC
29,228
16,233
27,201
8,424
26,512
Chatham
County,
NC
28,539
15,388
25,785
6,549
20,611
Cherokee
County,
NC
19,625
9,715
16,279
4,938
15,541
Chowan
County,
NC
20,397
11,480
19,237
5,545
17,451
Clay
County,
NC
18,532
10,252
17,179
4,210
13,250
Cleveland
County,
NC
26,476
15,155
25,395
7,292
22,949
Columbus
County,
NC
18,468
10,898
18,262
5,092
16,026
Craven
County,
NC
25,619
13,060
21,884
6,366
20,035
Cumberland
County,
NC
25,462
13,433
22,509
6,772
21,313
Currituck
County,
NC
27,905
12,785
21,424
5,696
17,926
Dare
County,
NC
29,322
13,555
22,714
5,850
18,411
Davidson
County,
NC
27,913
15,238
25,534
7,949
25,017
Davie
County,
NC
29,659
15,749
26,390
6,882
21,659
Duplin
County,
NC
19,695
11,133
18,655
5,090
16,019
Durham
County,
NC
30,526
15,395
25,797
7,683
24,180
Edgecombe
County,
NC
21,390
13,057
21,879
5,679
17,873
Forsyth
County,
NC
30,449
16,600
27,816
8,334
26,229
Franklin
County,
NC
25,049
11,758
19,703
5,051
15,897
Gaston
County,
NC
28,126
15,898
26,640
8,124
25,568
Gates
County,
NC
23,408
13,050
21,868
5,233
16,469
Graham
County,
NC
16,754
11,250
18,851
5,247
16,513
Granville
County,
NC
26,488
13,575
22,747
5,690
17,908
Greene
County,
NC
22,703
12,127
20,321
5,204
16,378
Guilford
County,
NC
30,148
16,473
27,603
8,754
27,551
Halifax
County,
NC
18,932
10,461
17,529
5,204
16,378
Harnett
County,
NC
21,743
12,112
20,296
5,717
17,993
Haywood
County,
NC
22,462
12,978
21,747
6,568
20,671
Henderson
County,
NC
26,967
14,177
23,756
6,082
19,141
Hertford
County,
NC
18,180
11,961
20,043
5,541
17,439
Hoke
County,
NC
22,770
12,805
21,457
6,145
19,340
Hyde
County,
NC
17,665
9,736
16,314
3,948
12,425
Iredell
County,
NC
28,627
15,119
25,335
7,307
22,997
Jackson
County,
NC
21,520
11,387
19,081
5,523
17,382
Johnston
County,
NC
25,169
12,320
20,644
5,235
16,476
Jones
County,
NC
19,392
11,183
18,739
4,807
15,129
Lee
County,
NC
26,419
14,782
24,770
6,788
21,363
Lenoir
County,
NC
21,207
12,869
21,564
6,101
19,201
Lincoln
County,
NC
28,662
15,861
26,578
7,981
25,118
March
12th,
2003
Page
129
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
A
B
C
D
E
F
McDowell
County,
NC
22,562
13,452
22,541
6,642
20,904
Macon
County,
NC
20,450
11,148
18,680
5,139
16,174
Madison
County,
NC
18,956
9,519
15,951
4,264
13,420
Martin
County,
NC
19,995
11,787
19,751
5,035
15,846
Mecklenburg
County,
NC
33,830
17,837
29,889
9,179
28,888
Mitchell
County,
NC
20,554
12,018
20,138
4,840
15,232
Montgomery
County,
NC
22,682
12,824
21,489
5,959
18,754
Moore
County,
NC
28,053
14,475
24,255
6,018
18,940
Nash
County,
NC
25,834
13,628
22,836
5,955
18,742
New
Hanover
County,
NC
27,320
15,341
25,707
7,131
22,443
Northampton
County,
NC
18,029
10,347
17,338
4,193
13,196
Onslow
County,
NC
23,386
12,336
20,671
6,326
19,909
Orange
County,
NC
29,968
14,939
25,033
7,557
23,783
Pamlico
County,
NC
21,060
11,765
19,714
5,056
15,912
Pasquotank
County,
NC
21,816
12,288
20,591
6,073
19,113
Pender
County,
NC
23,270
11,879
19,905
4,833
15,210
Perquimans
County,
NC
20,022
10,914
18,288
4,514
14,206
Person
County,
NC
25,625
13,652
22,876
6,449
20,296
Pitt
County,
NC
23,324
12,913
21,638
5,631
17,722
Polk
County,
NC
26,801
13,428
22,501
5,861
18,446
Randolph
County,
NC
27,130
15,527
26,018
8,124
25,568
Richmond
County,
NC
21,953
13,419
22,486
6,167
19,409
Robeson
County,
NC
19,716
11,494
19,260
5,044
15,875
Rockingham
County,
NC
25,402
14,606
24,475
7,317
23,028
Rowan
County,
NC
26,354
15,282
25,608
7,565
23,809
Rutherford
County,
NC
23,828
13,308
22,300
6,578
20,702
Sampson
County,
NC
19,709
11,498
19,267
4,941
15,550
Scotland
County,
NC
22,561
13,902
23,295
6,145
19,340
Stanly
County,
NC
25,374
14,510
24,314
7,346
23,119
Stokes
County,
NC
27,945
15,287
25,616
6,446
20,287
Surry
County,
NC
23,444
13,295
22,278
6,548
20,608
Swain
County,
NC
16,068
9,866
16,532
4,699
14,789
Transylvania
County,
NC
25,179
16,048
26,891
7,482
23,547
Tyrrell
County,
NC
16,363
10,654
17,853
3,773
11,874
Union
County,
NC
30,957
16,628
27,863
7,396
23,277
Vance
County,
NC
21,555
11,931
19,992
6,078
19,129
Wake
County,
NC
36,222
18,643
31,240
8,622
27,135
Warren
County,
NC
16,937
10,121
16,960
4,341
13,662
Washington
County,
NC
21,840
13,322
22,323
6,411
20,177
Watauga
County,
NC
20,252
11,039
18,498
5,323
16,753
Wayne
County,
NC
23,560
12,931
21,668
5,825
18,332
Wilkes
County,
NC
22,261
13,554
22,712
6,124
19,274
Wilson
County,
NC
24,021
13,537
22,684
5,836
18,367
Yadkin
County,
NC
25,062
13,636
22,850
6,600
20,772
Yancey
County,
NC
19,401
10,788
18,077
4,742
14,924
North
Dakota
$
23,213
$
15,293
$
25,626
$
6,909
$
21,744
March
12th,
2003
Page
130
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2113
2114
2115
A
B
C
D
E
F
Adams
County,
ND
20,722
13,933
23,347
6,394
20,123
Barnes
County,
ND
20,419
13,998
23,456
6,314
19,871
Benson
County,
ND
16,917
12,827
21,494
5,614
17,668
Billings
County,
ND
22,639
20,257
33,944
4,545
14,304
Bottineau
County,
ND
22,294
13,169
22,067
6,572
20,683
Bowman
County,
ND
21,478
13,807
23,136
6,455
20,315
Burke
County,
ND
19,160
12,039
20,173
5,962
18,764
Burleigh
County,
ND
28,450
19,090
31,989
8,279
26,056
Cass
County,
ND
26,806
17,620
29,525
8,185
25,760
Cavalier
County,
ND
21,250
14,570
24,415
5,865
18,458
Dickey
County,
ND
20,248
11,932
19,994
5,910
18,600
Divide
County,
ND
21,507
14,060
23,560
6,215
19,560
Dunn
County,
ND
19,824
12,676
21,241
6,068
19,097
Eddy
County,
ND
19,310
12,724
21,321
6,057
19,063
Emmons
County,
ND
16,892
10,983
18,404
6,607
20,794
Foster
County,
ND
20,760
14,230
23,845
6,939
21,838
Golden
Valley
County,
ND
20,281
14,219
23,826
6,758
21,269
Grand
Forks
County,
ND
25,162
15,478
25,936
7,540
23,730
Grant
County,
ND
17,368
9,400
15,751
4,914
15,465
Griggs
County,
ND
19,417
13,278
22,250
6,322
19,897
Hettinger
County,
ND
19,601
11,775
19,731
5,883
18,515
Kidder
County,
ND
17,378
10,455
17,519
5,446
17,140
LaMoure
County,
ND
19,710
12,209
20,458
6,220
19,576
Logan
County,
ND
19,490
10,423
17,466
7,323
23,047
McHenry
County,
ND
18,275
11,478
19,233
5,743
18,074
McIntosh
County,
ND
17,798
10,132
16,978
6,232
19,613
McKenzie
County,
ND
24,662
15,428
25,852
6,687
21,045
McLean
County,
ND
21,853
15,178
25,433
6,039
19,006
Mercer
County,
ND
31,969
18,680
31,302
5,795
18,238
Morton
County,
ND
23,685
16,438
27,545
6,538
20,576
Mountrail
County,
ND
19,399
12,871
21,568
5,550
17,467
Nelson
County,
ND
19,360
11,755
19,698
5,610
17,656
Oliver
County,
ND
23,000
16,792
28,138
6,049
19,037
Pembina
County,
ND
23,256
13,985
23,434
6,760
21,275
Pierce
County,
ND
20,216
12,141
20,344
6,124
19,274
Ramsey
County,
ND
21,780
15,243
25,542
6,974
21,949
Ransom
County,
ND
23,017
13,654
22,880
5,892
18,543
Renville
County,
ND
22,659
13,497
22,617
6,923
21,788
Richland
County,
ND
24,248
15,589
26,122
5,843
18,389
Rolette
County,
ND
15,163
11,188
18,747
5,876
18,493
Sargent
County,
ND
23,838
14,190
23,778
6,315
19,875
Sheridan
County,
ND
17,145
11,590
19,421
5,238
16,485
Sioux
County,
ND
14,838
11,468
19,217
5,232
16,466
Slope
County,
ND
18,355
12,147
20,354
7,181
22,600
Stark
County,
ND
22,048
16,650
27,900
6,454
20,312
Steele
County,
ND
23,307
16,115
27,004
7,518
23,661
Stutsman
County,
ND
22,415
15,064
25,242
6,951
21,876
March
12th,
2003
Page
131
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157
5­
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County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2116
2117
2118
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
2134
2135
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
2151
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
2162
A
B
C
D
E
F
Towner
County,
ND
18,608
14,462
24,234
6,383
20,089
Traill
County,
ND
22,050
15,397
25,800
6,320
19,890
Walsh
County,
ND
21,973
12,544
21,020
6,674
21,004
Ward
County,
ND
22,996
15,517
26,001
7,724
24,309
Wells
County,
ND
18,568
12,178
20,406
6,498
20,451
Williams
County,
ND
23,249
18,768
31,449
7,448
23,440
Ohio
$
28,706
$
17,754
$
29,750
$
9,279
$
29,203
Adams
County,
OH
16,318
10,596
17,755
4,691
14,764
Allen
County,
OH
27,166
17,396
29,150
8,940
28,136
Ashland
County,
OH
26,668
16,678
27,947
8,503
26,761
Ashtabula
County,
OH
24,126
17,127
28,699
8,956
28,186
Athens
County,
OH
19,169
11,839
19,838
6,299
19,824
Auglaize
County,
OH
30,090
17,469
29,272
8,693
27,359
Belmont
County,
OH
20,987
16,547
27,727
7,433
23,393
Brown
County,
OH
25,286
14,996
25,128
6,587
20,731
Butler
County,
OH
32,440
19,584
32,816
9,497
29,889
Carroll
County,
OH
25,787
16,441
27,550
7,729
24,325
Champaign
County,
OH
31,198
16,488
27,629
8,406
26,455
Clark
County,
OH
27,743
16,842
28,222
9,084
28,589
Clermont
County,
OH
32,465
20,093
33,669
9,572
30,125
Clinton
County,
OH
27,157
15,464
25,913
7,889
24,828
Columbiana
County,
OH
23,368
16,721
28,019
8,079
25,426
Coshocton
County,
OH
23,617
15,847
26,554
7,302
22,981
Crawford
County,
OH
24,981
16,145
27,054
8,454
26,606
Cuyahoga
County,
OH
28,595
18,009
30,177
10,019
31,532
Darke
County,
OH
27,640
16,234
27,203
8,205
25,823
Defiance
County,
OH
31,505
19,513
32,697
8,996
28,312
Delaware
County,
OH
37,896
19,984
33,487
9,011
28,359
Erie
County,
OH
30,470
19,130
32,056
9,665
30,418
Fairfield
County,
OH
31,284
18,374
30,789
8,156
25,669
Fayette
County,
OH
22,704
13,978
23,423
6,908
21,741
Franklin
County,
OH
30,375
17,081
28,622
9,321
29,335
Fulton
County,
OH
31,890
18,648
31,248
9,169
28,857
Gallia
County,
OH
20,972
14,422
24,167
5,857
18,433
Geauga
County,
OH
41,113
24,351
40,804
11,969
37,669
Greene
County,
OH
35,116
20,306
34,026
11,032
34,720
Guernsey
County,
OH
21,143
14,260
23,895
6,616
20,822
Hamilton
County,
OH
29,498
17,446
29,234
9,023
28,397
Hancock
County,
OH
31,897
18,305
30,673
9,237
29,071
Hardin
County,
OH
24,589
15,882
26,613
7,198
22,654
Harrison
County,
OH
19,943
15,335
25,696
7,166
22,553
Henry
County,
OH
31,032
18,346
30,742
8,809
27,724
Highland
County,
OH
21,505
13,042
21,854
6,069
19,100
Hocking
County,
OH
22,727
14,255
23,887
6,643
20,907
Holmes
County,
OH
25,448
14,986
25,112
6,751
21,247
Huron
County,
OH
27,401
17,584
29,465
8,827
27,780
March
12th,
2003
Page
132
of
157
5­
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County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2163
2164
2165
2166
2167
2168
2169
2170
2171
2172
2173
2174
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
2196
2197
2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
A
B
C
D
E
F
Jackson
County,
OH
18,298
12,482
20,916
5,582
17,568
Jefferson
County,
OH
22,142
18,173
30,452
8,481
26,691
Knox
County,
OH
24,701
14,803
24,805
7,773
24,463
Lake
County,
OH
35,605
22,369
37,483
11,668
36,722
Lawrence
County,
OH
19,454
14,972
25,088
6,731
21,184
Licking
County,
OH
29,606
17,709
29,675
8,535
26,861
Logan
County,
OH
26,857
14,800
24,800
7,098
22,339
Lorain
County,
OH
31,098
20,371
34,135
10,117
31,840
Lucas
County,
OH
28,245
17,726
29,703
9,509
29,927
Madison
County,
OH
29,935
17,469
29,272
8,021
25,244
Mahoning
County,
OH
24,062
17,489
29,306
9,219
29,014
Marion
County,
OH
26,330
16,958
28,416
8,261
25,999
Medina
County,
OH
38,083
22,804
38,212
10,759
33,861
Meigs
County,
OH
17,707
12,750
21,365
5,334
16,787
Mercer
County,
OH
29,618
18,311
30,683
8,630
27,160
Miami
County,
OH
31,425
17,861
29,929
9,262
29,149
Monroe
County,
OH
20,413
15,864
26,583
6,561
20,649
Montgomery
County,
OH
30,111
17,632
29,546
10,381
32,671
Morgan
County,
OH
21,396
13,687
22,935
6,212
19,550
Morrow
County,
OH
27,318
16,336
27,374
7,826
24,630
Muskingum
County,
OH
23,967
14,719
24,664
7,132
22,446
Noble
County,
OH
21,617
14,442
24,200
5,961
18,761
Ottawa
County,
OH
31,360
18,570
31,117
8,851
27,856
Paulding
County,
OH
28,345
18,869
31,618
8,336
26,235
Perry
County,
OH
21,517
14,112
23,647
6,331
19,925
Pickaway
County,
OH
28,403
16,981
28,455
7,986
25,134
Pike
County,
OH
19,486
11,802
19,776
5,615
17,672
Portage
County,
OH
30,253
18,788
31,483
10,211
32,136
Preble
County,
OH
27,582
17,187
28,800
8,752
27,544
Putnam
County,
OH
32,492
19,019
31,870
8,387
26,396
Richland
County,
OH
27,329
17,162
28,758
9,141
28,769
Ross
County,
OH
24,286
15,954
26,734
7,585
23,872
Sandusky
County,
OH
29,060
18,392
30,819
8,818
27,752
Scioto
County,
OH
17,595
12,448
20,859
6,229
19,604
Seneca
County,
OH
26,988
17,524
29,365
8,501
26,754
Shelby
County,
OH
30,929
17,492
29,311
8,545
26,893
Stark
County,
OH
27,852
18,620
31,201
9,337
29,385
Summit
County,
OH
28,996
18,381
30,801
10,023
31,544
Trumbull
County,
OH
28,186
19,536
32,736
9,991
31,444
Tuscarawas
County,
OH
24,773
16,062
26,915
7,605
23,935
Union
County,
OH
33,244
17,458
29,254
8,315
26,169
Van
Wert
County,
OH
28,642
17,932
30,048
8,204
25,820
Vinton
County,
OH
19,066
11,861
19,875
5,476
17,234
Warren
County,
OH
36,728
20,769
34,802
10,158
31,969
Washington
County,
OH
24,456
16,187
27,124
7,505
23,620
Wayne
County,
OH
29,190
18,013
30,184
9,120
28,703
March
12th,
2003
Page
133
of
157
5­
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­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2210
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
2224
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
2239
2240
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
A
B
C
D
E
F
Williams
County,
OH
28,451
17,566
29,435
8,408
26,462
Wood
County,
OH
31,197
18,855
31,595
9,711
30,563
Wyandot
County,
OH
27,454
16,259
27,245
7,818
24,605
Oklahoma
$
23,577
$
14,750
$
24,716
$
6,596
$
20,759
Adair
County,
OK
16,886
9,114
15,272
3,356
10,562
Alfalfa
County,
OK
18,407
14,052
23,547
5,312
16,718
Atoka
County,
OK
13,898
8,924
14,954
3,826
12,041
Beaver
County,
OK
27,372
16,519
27,680
6,964
21,917
Beckham
County,
OK
19,154
13,055
21,876
4,723
14,864
Blaine
County,
OK
20,395
13,662
22,893
5,133
16,155
Bryan
County,
OK
16,610
10,143
16,996
4,448
13,999
Caddo
County,
OK
17,857
12,164
20,383
4,886
15,377
Canadian
County,
OK
33,855
20,753
34,775
7,279
22,909
Carter
County,
OK
21,800
13,649
22,871
5,292
16,655
Cherokee
County,
OK
17,513
10,503
17,600
4,386
13,804
Choctaw
County,
OK
12,451
8,956
15,007
3,485
10,968
Cimarron
County,
OK
19,173
12,778
21,412
6,843
21,536
Cleveland
County,
OK
29,975
18,208
30,511
7,997
25,168
Coal
County,
OK
14,177
8,806
14,756
3,545
11,157
Comanche
County,
OK
24,378
13,789
23,106
6,825
21,480
Cotton
County,
OK
18,978
11,142
18,670
5,164
16,252
Craig
County,
OK
18,986
12,199
20,442
5,024
15,812
Creek
County,
OK
23,795
15,340
25,705
6,098
19,192
Custer
County,
OK
22,592
14,262
23,898
5,766
18,147
Delaware
County,
OK
18,681
10,126
16,968
3,972
12,501
Dewey
County,
OK
18,968
13,324
22,327
5,710
17,971
Ellis
County,
OK
20,017
13,364
22,394
5,430
17,089
Garfield
County,
OK
23,243
16,579
27,781
6,828
21,489
Garvin
County,
OK
18,659
12,355
20,703
5,295
16,664
Grady
County,
OK
21,885
13,829
23,173
5,460
17,184
Grant
County,
OK
21,659
14,024
23,500
5,161
16,243
Greer
County,
OK
17,010
9,712
16,274
4,162
13,099
Harmon
County,
OK
13,880
9,281
15,552
4,348
13,684
Harper
County,
OK
22,813
16,580
27,783
6,179
19,447
Haskell
County,
OK
15,592
9,690
16,237
4,161
13,096
Hughes
County,
OK
15,168
8,940
14,981
3,982
12,532
Jackson
County,
OK
21,715
11,908
19,954
5,903
18,578
Jefferson
County,
OK
15,553
10,185
17,067
3,787
11,918
Johnston
County,
OK
15,264
8,085
13,548
3,455
10,874
Kay
County,
OK
24,295
15,493
25,961
6,792
21,376
Kingfisher
County,
OK
25,367
16,905
28,327
7,221
22,726
Kiowa
County,
OK
16,322
9,686
16,231
4,340
13,659
Latimer
County,
OK
17,477
9,498
15,916
4,171
13,127
Le
Flore
County,
OK
18,832
10,785
18,072
4,131
13,001
Lincoln
County,
OK
21,515
13,030
21,834
5,139
16,174
March
12th,
2003
Page
134
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
A
B
C
D
E
F
Logan
County,
OK
24,050
14,113
23,649
5,178
16,296
Love
County,
OK
20,320
13,073
21,906
4,917
15,475
McClain
County,
OK
25,437
15,933
26,699
5,695
17,923
McCurtain
County,
OK
16,413
10,243
17,164
3,991
12,561
McIntosh
County,
OK
17,738
9,864
16,529
3,955
12,447
Major
County,
OK
23,568
15,215
25,495
5,734
18,046
Marshall
County,
OK
16,292
9,970
16,706
4,533
14,266
Mayes
County,
OK
21,209
12,623
21,152
5,343
16,816
Murray
County,
OK
18,321
12,669
21,229
4,742
14,924
Muskogee
County,
OK
20,407
12,376
20,738
5,254
16,535
Noble
County,
OK
23,227
13,956
23,386
5,471
17,218
Nowata
County,
OK
18,274
13,293
22,275
4,766
15,000
Okfuskee
County,
OK
15,738
9,123
15,287
3,602
11,336
Oklahoma
County,
OK
26,129
16,456
27,575
8,229
25,898
Okmulgee
County,
OK
17,368
10,976
18,392
4,595
14,461
Osage
County,
OK
24,617
15,760
26,409
6,563
20,655
Ottawa
County,
OK
17,716
11,965
20,049
5,896
18,556
Pawnee
County,
OK
21,199
14,014
23,483
5,189
16,331
Payne
County,
OK
19,591
11,939
20,006
5,701
17,942
Pittsburg
County,
OK
18,906
11,386
19,079
5,502
17,316
Pontotoc
County,
OK
17,945
12,056
20,202
5,127
16,136
Pottawatomie
County,
OK
21,914
13,397
22,449
5,547
17,458
Pushmataha
County,
OK
13,613
8,785
14,721
3,242
10,203
Roger
Mills
County,
OK
20,106
12,865
21,558
5,473
17,225
Rogers
County,
OK
29,389
18,540
31,067
6,730
21,181
Seminole
County,
OK
17,007
11,429
19,151
4,561
14,354
Sequoyah
County,
OK
18,441
11,131
18,652
4,822
15,176
Stephens
County,
OK
22,647
14,966
25,078
6,190
19,481
Texas
County,
OK
23,587
16,585
27,791
7,480
23,541
Tillman
County,
OK
17,799
10,879
18,230
4,685
14,745
Tulsa
County,
OK
27,228
17,443
29,229
8,546
26,896
Wagoner
County,
OK
28,544
17,465
29,266
6,076
19,122
Washington
County,
OK
28,857
19,076
31,965
8,669
27,283
Washita
County,
OK
18,385
15,033
25,190
4,944
15,560
Woods
County,
OK
19,762
13,550
22,705
6,018
18,940
Woodward
County,
OK
23,796
18,188
30,477
7,103
22,355
Oregon
$
27,250
$
16,780
$
28,118
$
8,296
$
26,109
Baker
County,
OR
22,150
13,326
22,330
6,442
20,274
Benton
County,
OR
27,295
16,191
27,131
8,010
25,209
Clackamas
County,
OR
35,419
21,177
35,486
9,787
30,802
Clatsop
County,
OR
25,135
15,262
25,574
7,601
23,922
Columbia
County,
OR
29,507
18,562
31,104
8,351
26,282
Coos
County,
OR
22,146
16,094
26,968
8,219
25,867
Crook
County,
OR
24,275
15,515
25,998
7,350
23,132
Curry
County,
OR
22,579
14,643
24,537
7,726
24,315
Deschutes
County,
OR
27,317
16,587
27,794
7,880
24,800
March
12th,
2003
Page
135
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Income
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of
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Availability:
Non­
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Benefits
Meta­
Analysis
Literature
Review
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2305
2306
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2322
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2324
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2327
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2329
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2331
2332
2333
2334
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2336
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2338
2339
2340
2341
2342
2343
2344
2345
2346
2347
2348
2349
2350
A
B
C
D
E
F
Douglas
County,
OR
23,693
16,683
27,955
7,925
24,942
Gilliam
County,
OR
24,020
15,323
25,676
7,860
24,737
Grant
County,
OR
24,640
15,204
25,477
7,008
22,056
Harney
County,
OR
22,334
16,928
28,366
8,237
25,924
Hood
River
County,
OR
25,242
16,124
27,019
7,139
22,468
Jackson
County,
OR
25,069
15,465
25,914
7,560
23,793
Jefferson
County,
OR
23,532
15,468
25,919
7,707
24,256
Josephine
County,
OR
20,936
13,075
21,909
6,355
20,001
Klamath
County,
OR
23,054
15,408
25,819
7,800
24,548
Lake
County,
OR
24,659
15,493
25,961
7,655
24,092
Lane
County,
OR
25,268
16,272
27,267
8,308
26,147
Lincoln
County,
OR
22,883
14,664
24,572
6,562
20,652
Linn
County,
OR
25,209
16,042
26,881
7,997
25,168
Malheur
County,
OR
20,242
12,994
21,774
6,556
20,633
Marion
County,
OR
26,876
16,099
26,977
7,838
24,668
Morrow
County,
OR
23,969
17,803
29,832
7,413
23,330
Multnomah
County,
OR
26,928
16,078
26,942
8,325
26,201
Polk
County,
OR
26,292
16,713
28,006
7,577
23,846
Sherman
County,
OR
25,030
14,028
23,506
6,667
20,982
Tillamook
County,
OR
21,965
14,266
23,905
6,924
21,791
Umatilla
County,
OR
22,791
15,742
26,378
7,535
23,714
Union
County,
OR
22,484
14,961
25,070
7,390
23,258
Wallowa
County,
OR
21,300
13,640
22,856
6,869
21,618
Wasco
County,
OR
24,908
17,030
28,537
8,122
25,562
Washington
County,
OR
35,554
21,572
36,148
10,741
33,804
Wheeler
County,
OR
15,224
10,139
16,990
6,408
20,167
Yamhill
County,
OR
28,303
16,874
28,275
7,418
23,346
Pennsylvania
$
29,069
$
16,880
$
28,285
$
8,548
$
26,902
Adams
County,
PA
30,304
16,684
27,957
7,872
24,775
Allegheny
County,
PA
28,136
17,944
30,068
8,957
28,190
Armstrong
County,
PA
22,554
15,474
25,929
6,894
21,697
Beaver
County,
PA
24,276
20,031
33,565
8,690
27,349
Bedford
County,
PA
21,622
13,167
22,064
6,580
20,709
Berks
County,
PA
32,048
17,530
29,375
8,926
28,092
Blair
County,
PA
23,271
14,768
24,746
7,248
22,811
Bradford
County,
PA
23,970
14,417
24,158
7,447
23,437
Bucks
County,
PA
43,347
22,016
36,892
11,263
35,447
Butler
County,
PA
29,358
18,466
30,943
8,449
26,591
Cambria
County,
PA
21,462
15,772
26,429
7,641
24,048
Cameron
County,
PA
20,839
14,072
23,580
8,522
26,821
Carbon
County,
PA
25,501
15,369
25,753
7,020
22,093
Centre
County,
PA
26,060
14,862
24,904
7,584
23,868
Chester
County,
PA
45,642
22,206
37,210
10,878
34,235
Clarion
County,
PA
21,602
15,663
26,246
6,711
21,121
Clearfield
County,
PA
21,773
14,903
24,973
6,501
20,460
Clinton
County,
PA
22,128
14,851
24,885
7,170
22,565
March
12th,
2003
Page
136
of
157
5­
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­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
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2357
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2359
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2364
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2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
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2384
2385
2386
2387
2388
2389
2390
2391
2392
2393
2394
2395
2396
2397
A
B
C
D
E
F
Columbia
County,
PA
24,211
14,148
23,707
7,060
22,219
Crawford
County,
PA
23,083
15,193
25,459
7,743
24,369
Cumberland
County,
PA
34,493
19,270
32,290
9,802
30,849
Dauphin
County,
PA
30,985
17,139
28,719
8,489
26,717
Delaware
County,
PA
37,337
19,950
33,430
10,980
34,556
Elk
County,
PA
24,866
16,648
27,897
7,579
23,853
Erie
County,
PA
26,581
16,760
28,084
8,434
26,544
Fayette
County,
PA
19,195
14,282
23,932
6,072
19,110
Forest
County,
PA
19,170
12,657
21,209
7,205
22,676
Franklin
County,
PA
28,806
16,911
28,337
7,693
24,211
Fulton
County,
PA
23,736
13,573
22,744
6,292
19,802
Greene
County,
PA
19,903
14,966
25,078
6,055
19,056
Huntingdon
County,
PA
23,067
12,951
21,702
6,396
20,130
Indiana
County,
PA
22,966
15,955
26,735
6,948
21,867
Jefferson
County,
PA
22,063
14,961
25,070
6,450
20,299
Juniata
County,
PA
25,359
13,883
23,263
6,777
21,329
Lackawanna
County,
PA
24,816
14,267
23,907
7,335
23,085
Lancaster
County,
PA
33,255
17,933
30,050
9,020
28,388
Lawrence
County,
PA
22,317
16,588
27,796
7,820
24,611
Lebanon
County,
PA
29,469
17,669
29,608
8,663
27,264
Lehigh
County,
PA
32,455
18,790
31,486
9,268
29,168
Luzerne
County,
PA
23,600
13,990
23,443
7,173
22,575
Lycoming
County,
PA
25,552
15,025
25,177
7,655
24,092
Mc
Kean
County,
PA
23,106
14,780
24,766
7,287
22,934
Mercer
County,
PA
24,599
17,160
28,755
8,592
27,041
Mifflin
County,
PA
22,778
13,958
23,389
7,272
22,886
Monroe
County,
PA
32,465
15,999
26,809
8,024
25,253
Montgomery
County,
PA
43,720
22,508
37,716
11,894
37,433
Montour
County,
PA
27,260
16,052
26,898
7,446
23,434
Northampton
County,
PA
32,890
18,470
30,950
9,036
28,438
Northumberland
County,
PA
22,124
12,931
21,668
6,413
20,183
Perry
County,
PA
29,539
16,275
27,272
7,483
23,551
Philadelphia
County,
PA
24,603
13,169
22,067
7,963
25,061
Pike
County,
PA
30,314
14,726
24,676
7,183
22,606
Potter
County,
PA
21,377
12,993
21,772
6,572
20,683
Schuylkill
County,
PA
23,028
13,340
22,354
6,511
20,491
Snyder
County,
PA
25,864
15,542
26,043
7,468
23,503
Somerset
County,
PA
21,674
14,716
24,659
6,700
21,086
Sullivan
County,
PA
20,107
12,526
20,990
6,288
19,790
Susquehanna
County,
PA
24,736
14,182
23,764
7,172
22,572
Tioga
County,
PA
22,571
13,785
23,099
6,948
21,867
Union
County,
PA
27,622
15,868
26,590
7,446
23,434
Venango
County,
PA
22,593
16,796
28,145
7,296
22,962
Warren
County,
PA
26,351
16,455
27,573
8,304
26,134
Washington
County,
PA
25,469
17,664
29,599
7,855
24,721
Wayne
County,
PA
24,912
13,187
22,097
6,747
21,234
Westmoreland
County,
PA
25,736
17,795
29,819
8,580
27,003
March
12th,
2003
Page
137
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157
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County
Income
Record
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the
316(
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of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
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2399
2400
2401
2402
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2404
2405
2406
2407
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2409
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2412
2413
2414
2415
2416
2417
2418
2419
2420
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2423
2424
2425
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2427
2428
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2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441
2442
2443
2444
A
B
C
D
E
F
Wyoming
County,
PA
27,207
15,298
25,634
7,083
22,292
York
County,
PA
32,605
18,389
30,814
9,085
28,592
Rhode
Island
$
32,181
$
16,097
$
26,973
$
8,617
$
27,119
Bristol
County,
RI
37,539
18,561
31,102
9,980
31,409
Kent
County,
RI
36,070
18,455
30,925
10,000
31,472
Newport
County,
RI
35,829
16,847
28,230
8,257
25,986
Providence
County,
RI
29,580
14,834
24,857
8,110
25,524
Washington
County,
RI
36,948
18,104
30,336
8,742
27,513
South
Carolina
$
26,256
$
14,711
$
24,651
$
6,835
$
21,511
Abbeville
County,
SC
23,170
13,735
23,015
6,591
20,743
Aiken
County,
SC
29,994
16,006
26,821
7,677
24,161
Allendale
County,
SC
15,013
9,646
16,164
4,614
14,521
Anderson
County,
SC
25,748
15,435
25,864
7,206
22,679
Bamberg
County,
SC
17,496
10,486
17,571
4,964
15,623
Barnwell
County,
SC
23,501
12,640
21,181
6,054
19,053
Beaufort
County,
SC
30,450
15,490
25,956
6,224
19,588
Berkeley
County,
SC
29,106
16,200
27,146
6,542
20,589
Calhoun
County,
SC
23,750
12,527
20,991
4,574
14,395
Charleston
County,
SC
26,875
14,826
24,844
7,108
22,370
Cherokee
County,
SC
24,655
14,801
24,802
6,799
21,398
Chester
County,
SC
23,054
13,922
23,329
6,365
20,032
Chesterfield
County,
SC
21,069
12,277
20,572
6,086
19,154
Clarendon
County,
SC
17,645
11,108
18,613
3,980
12,526
Colleton
County,
SC
20,617
11,668
19,552
5,109
16,079
Darlington
County,
SC
22,642
12,989
21,765
6,237
19,629
Dillon
County,
SC
18,365
10,909
18,280
4,850
15,264
Dorchester
County,
SC
30,764
17,169
28,770
6,668
20,986
Edgefield
County,
SC
23,021
12,101
20,277
5,431
17,092
Fairfield
County,
SC
21,484
12,563
21,052
5,181
16,306
Florence
County,
SC
24,264
13,914
23,315
6,541
20,586
Georgetown
County,
SC
23,981
14,325
24,004
5,732
18,040
Greenville
County,
SC
29,088
15,998
26,807
7,763
24,432
Greenwood
County,
SC
23,584
14,612
24,485
7,523
23,676
Hampton
County,
SC
18,615
10,855
18,189
4,741
14,921
Horry
County,
SC
24,959
13,485
22,596
5,599
17,621
Jasper
County,
SC
18,071
10,804
18,104
4,480
14,099
Kershaw
County,
SC
28,282
15,077
25,264
7,359
23,160
Lancaster
County,
SC
25,320
15,756
26,402
7,834
24,655
Laurens
County,
SC
24,905
15,025
25,177
7,174
22,578
Lee
County,
SC
18,174
11,322
18,972
4,277
13,461
Lexington
County,
SC
32,914
18,253
30,586
8,135
25,603
McCormick
County,
SC
19,226
11,756
19,699
4,745
14,934
Marion
County,
SC
17,825
11,351
19,021
4,816
15,157
Marlboro
County,
SC
18,068
11,744
19,679
5,404
17,008
Newberry
County,
SC
23,405
14,389
24,111
6,519
20,517
Oconee
County,
SC
25,723
13,635
22,848
6,811
21,436
March
12th,
2003
Page
138
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
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2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
2459
2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482
2483
2484
2485
2486
2487
2488
2489
2490
2491
A
B
C
D
E
F
Orangeburg
County,
SC
20,216
11,520
19,304
5,090
16,019
Pickens
County,
SC
26,336
15,586
26,117
7,224
22,735
Richland
County,
SC
28,848
15,691
26,293
7,623
23,991
Saluda
County,
SC
22,176
12,103
20,281
5,812
18,292
Spartanburg
County,
SC
26,941
15,094
25,293
7,029
22,122
Sumter
County,
SC
22,387
12,191
20,428
5,918
18,625
Union
County,
SC
21,526
14,183
23,766
6,964
21,917
Williamsburg
County,
SC
18,409
11,758
19,703
4,401
13,851
York
County,
SC
31,288
17,075
28,612
7,585
23,872
South
Dakota
$
22,503
$
13,156
$
22,045
$
6,450
$
20,299
Aurora
County,
SD
16,497
10,372
17,380
4,723
14,864
Beadle
County,
SD
22,425
13,398
22,451
7,277
22,902
Bennett
County,
SD
16,864
9,904
16,596
5,649
17,779
Bon
Homme
County,
SD
17,778
10,671
17,881
5,136
16,164
Brookings
County,
SD
21,807
13,597
22,784
6,533
20,561
Brown
County,
SD
22,967
14,034
23,516
6,919
21,776
Brule
County,
SD
21,184
11,371
19,054
6,075
19,119
Buffalo
County,
SD
14,566
9,095
15,240
4,683
14,738
Butte
County,
SD
19,811
12,973
21,739
6,433
20,246
Campbell
County,
SD
17,202
9,037
15,143
6,422
20,211
Charles
Mix
County,
SD
16,541
10,119
16,956
4,907
15,443
Clark
County,
SD
19,035
10,122
16,961
5,254
16,535
Clay
County,
SD
19,392
11,820
19,806
6,491
20,429
Codington
County,
SD
21,816
13,557
22,717
6,744
21,225
Corson
County,
SD
14,324
9,543
15,991
4,983
15,683
Custer
County,
SD
22,662
15,166
25,413
6,803
21,410
Davison
County,
SD
20,733
12,399
20,777
6,438
20,262
Day
County,
SD
18,760
10,675
17,888
4,823
15,179
Deuel
County,
SD
17,784
10,198
17,089
6,022
18,952
Dewey
County,
SD
14,599
10,632
17,816
4,825
15,185
Douglas
County,
SD
17,067
9,329
15,632
4,764
14,993
Edmunds
County,
SD
20,569
10,246
17,169
5,801
18,257
Fall
River
County,
SD
20,483
14,274
23,919
6,164
19,399
Faulk
County,
SD
18,709
9,495
15,911
5,746
18,084
Grant
County,
SD
23,431
12,613
21,135
5,671
17,848
Gregory
County,
SD
16,848
8,898
14,910
4,609
14,505
Haakon
County,
SD
21,166
12,076
20,235
6,781
21,341
Hamlin
County,
SD
19,949
9,903
16,594
5,545
17,451
Hand
County,
SD
19,310
10,352
17,347
6,008
18,908
Hanson
County,
SD
21,920
10,010
16,774
4,639
14,600
Harding
County,
SD
20,217
12,385
20,753
5,830
18,348
Hughes
County,
SD
27,058
17,458
29,254
9,071
28,548
Hutchinson
County,
SD
18,832
10,275
17,218
4,632
14,578
Hyde
County,
SD
19,907
11,812
19,793
4,354
13,703
Jackson
County,
SD
17,246
12,172
20,396
6,444
20,281
March
12th,
2003
Page
139
of
157
5­
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­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
2522
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
2538
A
B
C
D
E
F
Jerauld
County,
SD
18,588
10,600
17,762
4,728
14,880
Jones
County,
SD
21,202
11,835
19,832
6,336
19,941
Kingsbury
County,
SD
20,290
10,666
17,873
5,733
18,043
Lake
County,
SD
23,674
12,028
20,155
5,716
17,989
Lawrence
County,
SD
24,815
13,590
22,772
6,794
21,382
Lincoln
County,
SD
28,543
15,221
25,505
6,013
18,924
Lyman
County,
SD
21,993
11,241
18,836
7,292
22,949
Marshall
County,
SD
18,305
10,262
17,196
5,165
16,255
McCook
County,
SD
20,764
11,250
18,851
4,682
14,735
McPherson
County,
SD
15,345
8,975
15,039
4,841
15,236
Meade
County,
SD
24,672
14,848
24,880
7,424
23,365
Mellette
County,
SD
14,539
9,672
16,207
5,218
16,422
Miner
County,
SD
18,750
8,429
14,124
4,926
15,503
Minnehaha
County,
SD
27,764
16,891
28,304
8,201
25,810
Moody
County,
SD
23,926
12,695
21,273
5,663
17,823
Pennington
County,
SD
25,340
14,890
24,951
7,375
23,211
Perkins
County,
SD
19,862
12,205
20,452
6,236
19,626
Potter
County,
SD
20,674
11,266
18,878
6,649
20,926
Roberts
County,
SD
17,480
10,302
17,263
4,915
15,469
Sanborn
County,
SD
19,818
7,972
13,358
5,377
16,923
Shannon
County,
SD
11,105
9,948
16,670
4,439
13,970
Spink
County,
SD
19,398
12,080
20,242
5,999
18,880
Stanley
County,
SD
22,321
14,807
24,812
7,126
22,427
Sully
County,
SD
23,601
11,875
19,899
5,604
17,637
Todd
County,
SD
13,327
9,662
16,190
4,786
15,063
Tripp
County,
SD
20,082
11,071
18,551
6,545
20,598
Turner
County,
SD
19,926
11,364
19,042
4,799
15,103
Union
County,
SD
22,274
13,785
23,099
5,998
18,877
Walworth
County,
SD
19,513
12,016
20,135
6,520
20,520
Washabaugh
County,
SD
(
NA)
(
NA)
(
NA)
4,091
12,875
Yankton
County,
SD
21,798
14,332
24,016
6,575
20,693
Ziebach
County,
SD
14,129
9,263
15,522
4,475
14,084
Tennessee
$
24,807
$
14,142
$
23,697
$
6,631
$
20,869
Anderson
County,
TN
26,496
16,088
26,958
7,925
24,942
Bedford
County,
TN
23,613
13,757
23,052
6,176
19,437
Benton
County,
TN
20,382
12,052
20,195
5,693
17,917
Bledsoe
County,
TN
18,250
10,619
17,794
4,298
13,527
Blount
County,
TN
25,575
15,058
25,232
7,090
22,314
Bradley
County,
TN
25,678
14,653
24,554
7,123
22,418
Campbell
County,
TN
16,450
10,277
17,221
3,850
12,117
Cannon
County,
TN
22,847
11,682
19,575
5,011
15,771
Carroll
County,
TN
20,763
11,764
19,713
6,001
18,886
Carter
County,
TN
19,140
11,436
19,163
5,736
18,052
Cheatham
County,
TN
30,778
16,290
27,297
7,067
22,241
Chester
County,
TN
19,413
11,695
19,597
4,625
14,556
Claiborne
County,
TN
17,132
9,359
15,683
3,867
12,170
March
12th,
2003
Page
140
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2539
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
2574
2575
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585
A
B
C
D
E
F
Clay
County,
TN
17,799
8,876
14,873
3,457
10,880
Cocke
County,
TN
16,818
10,344
17,333
4,867
15,317
Coffee
County,
TN
24,802
14,331
24,014
6,903
21,725
Crockett
County,
TN
20,296
11,448
19,183
5,064
15,937
Cumberland
County,
TN
20,474
11,578
19,401
4,950
15,579
Davidson
County,
TN
28,377
16,408
27,494
8,404
26,449
Decatur
County,
TN
17,925
10,832
18,151
5,115
16,098
DeKalb
County,
TN
19,388
10,847
18,176
4,917
15,475
Dickson
County,
TN
24,419
14,276
23,922
6,059
19,069
Dyer
County,
TN
22,105
12,098
20,272
5,650
17,782
Fayette
County,
TN
22,199
11,423
19,141
3,938
12,394
Fentress
County,
TN
13,924
8,246
13,818
3,590
11,298
Franklin
County,
TN
23,438
13,487
22,600
5,978
18,814
Gibson
County,
TN
20,938
12,120
20,309
5,880
18,506
Giles
County,
TN
22,078
12,843
21,521
5,196
16,353
Grainger
County,
TN
19,097
10,942
18,335
4,584
14,427
Greene
County,
TN
21,513
12,188
20,423
5,535
17,420
Grundy
County,
TN
16,425
10,533
17,650
3,978
12,520
Hamblen
County,
TN
23,853
13,343
22,359
6,652
20,935
Hamilton
County,
TN
26,523
15,694
26,298
7,560
23,793
Hancock
County,
TN
11,822
6,693
11,215
2,211
6,958
Hardeman
County,
TN
19,128
10,859
18,196
4,807
15,129
Hardin
County,
TN
17,719
11,655
19,530
4,798
15,100
Hawkins
County,
TN
21,960
12,903
21,621
5,800
18,254
Haywood
County,
TN
17,376
9,781
16,390
4,045
12,730
Henderson
County,
TN
21,099
12,096
20,269
4,979
15,670
Henry
County,
TN
18,891
11,919
19,972
4,999
15,733
Hickman
County,
TN
21,567
13,063
21,889
4,880
15,358
Houston
County,
TN
20,112
11,869
19,889
5,019
15,796
Humphreys
County,
TN
22,256
15,789
26,457
6,673
21,001
Jackson
County,
TN
18,081
9,922
16,626
3,400
10,701
Jefferson
County,
TN
22,219
12,138
20,339
5,851
18,414
Johnson
County,
TN
14,967
9,861
16,524
4,476
14,087
Knox
County,
TN
26,010
14,787
24,778
7,111
22,380
Lake
County,
TN
16,804
9,954
16,680
4,261
13,410
Lauderdale
County,
TN
18,972
10,985
18,407
3,702
11,651
Lawrence
County,
TN
20,842
12,921
21,651
5,132
16,151
Lewis
County,
TN
17,362
10,690
17,913
5,433
17,099
Lincoln
County,
TN
21,996
12,161
20,378
5,211
16,400
Loudon
County,
TN
24,258
13,868
23,238
6,268
19,727
McMinn
County,
TN
21,901
13,762
23,061
6,116
19,248
McNairy
County,
TN
18,715
11,296
18,928
4,407
13,870
Macon
County,
TN
19,147
12,458
20,876
4,266
13,426
Madison
County,
TN
23,716
13,694
22,947
6,132
19,299
Marion
County,
TN
20,045
12,781
21,417
5,582
17,568
Marshall
County,
TN
23,855
13,523
22,660
6,145
19,340
Maury
County,
TN
26,238
14,726
24,676
6,306
19,846
March
12th,
2003
Page
141
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2586
2587
2588
2589
2590
2591
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
2621
2622
2623
2624
2625
2626
2627
2628
2629
2630
2631
2632
A
B
C
D
E
F
Meigs
County,
TN
20,181
14,067
23,572
5,044
15,875
Monroe
County,
TN
19,932
11,783
19,744
5,297
16,671
Montgomery
County,
TN
25,568
14,110
23,644
6,630
20,866
Moore
County,
TN
28,056
14,654
24,555
6,218
19,569
Morgan
County,
TN
19,280
10,862
18,201
4,801
15,110
Obion
County,
TN
22,344
13,102
21,955
5,740
18,065
Overton
County,
TN
18,293
10,276
17,219
3,832
12,060
Perry
County,
TN
19,039
11,414
19,126
4,491
14,134
Pickett
County,
TN
14,993
9,005
15,089
4,161
13,096
Polk
County,
TN
21,663
12,084
20,249
6,110
19,229
Putnam
County,
TN
21,693
12,279
20,576
5,267
16,576
Rhea
County,
TN
19,915
12,522
20,983
5,103
16,060
Roane
County,
TN
24,210
15,181
25,438
6,609
20,800
Robertson
County,
TN
28,687
15,181
25,438
5,865
18,458
Rutherford
County,
TN
30,878
15,928
26,690
6,823
21,473
Scott
County,
TN
15,858
9,838
16,485
4,023
12,661
Sequatchie
County,
TN
19,223
10,972
18,386
5,648
17,775
Sevier
County,
TN
23,042
13,078
21,914
5,943
18,704
Shelby
County,
TN
27,132
15,289
25,619
7,683
24,180
Smith
County,
TN
23,255
13,948
23,372
5,127
16,136
Stewart
County,
TN
20,802
11,525
19,312
4,649
14,631
Sullivan
County,
TN
25,089
15,528
26,020
7,633
24,023
Sumner
County,
TN
31,795
17,845
29,902
7,493
23,582
Tipton
County,
TN
23,860
13,158
22,049
5,167
16,262
Trousdale
County,
TN
20,127
14,930
25,018
4,354
13,703
Unicoi
County,
TN
20,536
12,347
20,690
5,687
17,898
Union
County,
TN
19,595
11,072
18,553
4,548
14,314
Van
Buren
County,
TN
20,676
11,380
19,069
5,300
16,680
Warren
County,
TN
21,019
11,922
19,977
5,710
17,971
Washington
County,
TN
23,698
14,112
23,647
6,519
20,517
Wayne
County,
TN
18,429
11,716
19,632
5,015
15,783
Weakley
County,
TN
21,004
11,530
19,321
5,243
16,501
White
County,
TN
19,874
11,447
19,181
4,992
15,711
Williamson
County,
TN
43,615
21,734
36,419
7,297
22,965
Wilson
County,
TN
32,852
18,298
30,662
6,945
21,857
Texas
$
27,016
$
16,708
$
27,997
$
7,538
$
23,724
Anderson
County,
TX
22,737
13,606
22,799
5,242
16,498
Andrews
County,
TX
26,434
18,229
30,546
8,814
27,739
Angelina
County,
TX
22,986
15,630
26,191
6,779
21,335
Aransas
County,
TX
21,315
14,066
23,570
6,001
18,886
Archer
County,
TX
25,131
15,975
26,769
6,857
21,580
Armstrong
County,
TX
23,081
15,556
26,067
7,012
22,068
Atascosa
County,
TX
20,048
12,829
21,497
4,891
15,393
Austin
County,
TX
25,043
14,378
24,093
4,567
14,373
Bailey
County,
TX
19,873
12,521
20,981
6,048
19,034
Bandera
County,
TX
24,671
13,368
22,400
5,581
17,565
March
12th,
2003
Page
142
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2633
2634
2635
2636
2637
2638
2639
2640
2641
2642
2643
2644
2645
2646
2647
2648
2649
2650
2651
2652
2653
2654
2655
2656
2657
2658
2659
2660
2661
2662
2663
2664
2665
2666
2667
2668
2669
2670
2671
2672
2673
2674
2675
2676
2677
2678
2679
A
B
C
D
E
F
Bastrop
County,
TX
23,967
12,437
20,840
4,398
13,841
Baylor
County,
TX
17,228
11,597
19,433
4,680
14,729
Bee
County,
TX
20,614
12,694
21,271
5,787
18,213
Bell
County,
TX
23,755
13,071
21,903
6,321
19,894
Bexar
County,
TX
25,926
15,085
25,278
7,256
22,836
Blanco
County,
TX
22,297
12,431
20,830
4,737
14,908
Borden
County,
TX
29,375
14,946
25,045
8,194
25,788
Bosque
County,
TX
21,411
11,686
19,582
4,449
14,002
Bowie
County,
TX
24,237
14,150
23,711
6,843
21,536
Brazoria
County,
TX
34,418
23,341
39,112
9,884
31,107
Brazos
County,
TX
20,411
12,305
20,619
6,519
20,517
Brewster
County,
TX
17,586
10,804
18,104
4,939
15,544
Briscoe
County,
TX
17,696
10,925
18,307
5,992
18,858
Brooks
County,
TX
13,509
10,545
17,670
3,863
12,158
Brown
County,
TX
19,291
12,558
21,043
5,058
15,919
Burleson
County,
TX
19,785
12,977
21,745
4,231
13,316
Burnet
County,
TX
21,420
12,138
20,339
4,904
15,434
Caldwell
County,
TX
20,169
11,818
19,803
4,729
14,883
Calhoun
County,
TX
22,706
18,098
30,326
7,746
24,378
Callahan
County,
TX
20,712
13,833
23,180
4,679
14,726
Cameron
County,
TX
17,336
11,731
19,657
4,624
14,553
Camp
County,
TX
19,673
13,824
23,165
4,115
12,951
Carson
County,
TX
26,765
17,522
29,361
8,198
25,801
Cass
County,
TX
19,886
13,521
22,657
5,615
17,672
Castro
County,
TX
17,838
12,917
21,645
6,383
20,089
Chambers
County,
TX
31,671
19,897
33,341
7,290
22,943
Cherokee
County,
TX
19,296
12,189
20,425
4,794
15,088
Childress
County,
TX
16,091
10,908
18,278
5,466
17,203
Clay
County,
TX
23,721
14,662
24,569
6,132
19,299
Cochran
County,
TX
19,301
12,650
21,197
5,518
17,366
Coke
County,
TX
19,220
12,794
21,439
5,391
16,967
Coleman
County,
TX
15,519
10,859
18,196
4,184
13,168
Collin
County,
TX
46,020
24,200
40,551
8,519
26,811
Collingsworth
County,
TX
15,421
10,647
17,841
4,244
13,357
Colorado
County,
TX
20,795
12,938
21,680
5,438
17,115
Comal
County,
TX
29,457
16,452
27,568
6,832
21,502
Comanche
County,
TX
17,504
10,556
17,688
4,597
14,468
Concho
County,
TX
15,942
11,547
19,349
4,882
15,365
Cooke
County,
TX
24,525
15,668
26,254
6,501
20,460
Coryell
County,
TX
23,504
12,523
20,984
6,057
19,063
Cottle
County,
TX
15,583
11,259
18,866
4,415
13,895
Crane
County,
TX
30,659
17,420
29,190
8,223
25,879
Crockett
County,
TX
19,087
16,315
27,339
6,673
21,001
Crosby
County,
TX
17,162
11,719
19,637
5,810
18,285
Culberson
County,
TX
16,559
11,379
19,068
7,149
22,499
Dallam
County,
TX
19,764
11,659
19,537
6,015
18,930
Dallas
County,
TX
31,605
18,571
31,119
9,614
30,257
March
12th,
2003
Page
143
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2680
2681
2682
2683
2684
2685
2686
2687
2688
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2691
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2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
2703
2704
2705
2706
2707
2708
2709
2710
2711
2712
2713
2714
2715
2716
2717
2718
2719
2720
2721
2722
2723
2724
2725
2726
A
B
C
D
E
F
Dawson
County,
TX
18,920
14,230
23,845
6,165
19,403
Deaf
Smith
County,
TX
21,177
14,784
24,773
7,025
22,109
Delta
County,
TX
20,208
9,856
16,515
3,690
11,613
Denton
County,
TX
36,914
20,862
34,958
7,856
24,724
DeWitt
County,
TX
18,041
11,030
18,483
4,309
13,561
Dickens
County,
TX
14,484
8,917
14,942
4,791
15,078
Dimmit
County,
TX
12,222
10,400
17,427
3,901
12,277
Donley
County,
TX
16,747
11,489
19,252
4,268
13,432
Duval
County,
TX
13,602
11,245
18,843
4,127
12,989
Eastland
County,
TX
15,774
10,680
17,896
4,349
13,687
Ector
County,
TX
23,801
18,764
31,442
8,697
27,371
Edwards
County,
TX
14,639
10,320
17,293
4,776
15,031
El
Paso
County,
TX
22,644
14,002
23,463
7,150
22,503
Ellis
County,
TX
30,553
16,966
28,430
6,839
21,524
Erath
County,
TX
19,881
11,992
20,095
4,496
14,150
Falls
County,
TX
17,227
9,455
15,844
3,561
11,207
Fannin
County,
TX
20,669
12,041
20,177
4,592
14,452
Fayette
County,
TX
19,963
11,436
19,163
3,640
11,456
Fisher
County,
TX
19,368
14,586
24,441
4,765
14,996
Floyd
County,
TX
19,186
12,793
21,437
5,862
18,449
Foard
County,
TX
18,713
11,127
18,645
3,895
12,258
Fort
Bend
County,
TX
42,809
25,591
42,882
7,368
23,189
Franklin
County,
TX
23,103
12,899
21,615
3,903
12,284
Freestone
County,
TX
21,561
11,803
19,778
4,370
13,753
Frio
County,
TX
14,059
10,785
18,072
4,431
13,945
Gaines
County,
TX
22,335
14,199
23,793
7,187
22,619
Galveston
County,
TX
29,466
19,477
32,637
8,611
27,101
Garza
County,
TX
18,994
13,432
22,508
5,656
17,801
Gillespie
County,
TX
23,722
12,758
21,378
5,955
18,742
Glasscock
County,
TX
29,306
15,439
25,871
6,410
20,174
Goliad
County,
TX
21,411
13,125
21,993
4,447
13,996
Gonzales
County,
TX
17,500
10,796
18,091
4,203
13,228
Gray
County,
TX
24,118
16,663
27,922
7,894
24,844
Grayson
County,
TX
25,241
15,254
25,561
6,775
21,322
Gregg
County,
TX
25,484
16,787
28,130
7,101
22,348
Grimes
County,
TX
20,623
11,378
19,066
3,858
12,142
Guadalupe
County,
TX
26,801
15,662
26,244
5,855
18,427
Hale
County,
TX
21,183
13,518
22,652
6,385
20,095
Hall
County,
TX
13,987
10,072
16,877
5,145
16,192
Hamilton
County,
TX
18,161
10,137
16,986
4,297
13,524
Hansford
County,
TX
25,787
17,801
29,829
7,500
23,604
Hardeman
County,
TX
18,657
12,625
21,155
5,504
17,322
Hardin
County,
TX
25,289
19,121
32,041
7,300
22,975
Harris
County,
TX
30,970
20,805
34,862
9,314
29,313
Harrison
County,
TX
22,625
14,942
25,038
5,999
18,880
Hartley
County,
TX
28,826
18,975
31,796
8,353
26,289
Haskell
County,
TX
19,386
11,841
19,842
4,753
14,959
March
12th,
2003
Page
144
of
157
5­
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County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2727
2728
2729
2730
2731
2732
2733
2734
2735
2736
2737
2738
2739
2740
2741
2742
2743
2744
2745
2746
2747
2748
2749
2750
2751
2752
2753
2754
2755
2756
2757
2758
2759
2760
2761
2762
2763
2764
2765
2766
2767
2768
2769
2770
2771
2772
2773
A
B
C
D
E
F
Hays
County,
TX
25,492
12,969
21,732
5,844
18,392
Hemphill
County,
TX
28,697
19,202
32,176
5,597
17,615
Henderson
County,
TX
20,747
13,573
22,744
5,193
16,343
Hidalgo
County,
TX
16,703
11,232
18,821
4,407
13,870
Hill
County,
TX
20,067
11,368
19,049
4,475
14,084
Hockley
County,
TX
23,713
15,604
26,147
6,341
19,956
Hood
County,
TX
31,627
18,105
30,338
5,529
17,401
Hopkins
County,
TX
20,771
12,813
21,470
5,465
17,199
Houston
County,
TX
18,138
9,868
16,536
3,638
11,450
Howard
County,
TX
23,145
15,023
25,174
7,193
22,638
Hudspeth
County,
TX
15,401
10,514
17,618
5,522
17,379
Hunt
County,
TX
25,317
13,877
23,253
6,259
19,698
Hutchinson
County,
TX
26,717
18,893
31,659
8,136
25,606
Irion
County,
TX
24,280
15,194
25,460
4,663
14,675
Jack
County,
TX
21,627
13,617
22,818
5,559
17,495
Jackson
County,
TX
20,687
14,608
24,478
6,172
19,425
Jasper
County,
TX
20,451
14,290
23,945
5,738
18,059
Jeff
Davis
County,
TX
18,995
10,511
17,613
4,911
15,456
Jefferson
County,
TX
25,132
18,416
30,859
8,127
25,577
Jim
Hogg
County,
TX
14,704
11,535
19,329
3,733
11,749
Jim
Wells
County,
TX
18,315
14,460
24,230
5,799
18,251
Johnson
County,
TX
30,612
18,252
30,584
7,618
23,975
Jones
County,
TX
19,270
12,616
21,140
5,079
15,985
Karnes
County,
TX
16,155
12,262
20,547
4,493
14,140
Kaufman
County,
TX
27,280
15,585
26,115
6,187
19,472
Kendall
County,
TX
27,433
16,311
27,332
6,015
18,930
Kenedy
County,
TX
16,500
11,339
19,000
4,286
13,489
Kent
County,
TX
19,508
12,057
20,204
4,759
14,978
Kerr
County,
TX
23,205
14,694
24,622
5,893
18,546
Kimble
County,
TX
17,553
12,317
20,639
5,000
15,736
King
County,
TX
27,625
12,566
21,057
6,536
20,570
Kinney
County,
TX
15,750
10,192
17,078
3,392
10,675
Kleberg
County,
TX
21,887
13,666
22,900
6,255
19,686
Knox
County,
TX
17,370
11,434
19,160
4,357
13,712
Lamar
County,
TX
21,551
11,974
20,065
5,157
16,230
Lamb
County,
TX
19,000
12,513
20,968
5,380
16,932
Lampasas
County,
TX
22,572
12,235
20,502
4,889
15,387
La
Salle
County,
TX
15,615
8,855
14,838
3,447
10,848
Lavaca
County,
TX
19,945
11,863
19,879
3,715
11,692
Lee
County,
TX
21,553
12,424
20,819
3,909
12,302
Leon
County,
TX
20,152
9,925
16,631
3,692
11,619
Liberty
County,
TX
22,637
16,801
28,153
6,194
19,494
Limestone
County,
TX
19,620
9,991
16,742
4,054
12,759
Lipscomb
County,
TX
24,648
15,309
25,653
7,194
22,641
Live
Oak
County,
TX
20,898
15,674
26,265
4,803
15,116
Llano
County,
TX
19,042
12,345
20,686
4,538
14,282
Loving
County,
TX
26,563
17,625
29,534
(
NA)
(
NA)

March
12th,
2003
Page
145
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
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2775
2776
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2778
2779
2780
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2782
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2785
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2787
2788
2789
2790
2791
2792
2793
2794
2795
2796
2797
2798
2799
2800
2801
2802
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2813
2814
2815
2816
2817
2818
2819
2820
A
B
C
D
E
F
Lubbock
County,
TX
24,328
15,704
26,315
7,281
22,915
Lynn
County,
TX
17,823
11,761
19,708
5,736
18,052
Madison
County,
TX
17,838
10,973
18,387
4,257
13,398
Marion
County,
TX
15,288
10,638
17,826
4,054
12,759
Martin
County,
TX
20,596
16,266
27,257
5,806
18,273
Mason
County,
TX
15,366
11,543
19,342
4,119
12,963
Matagorda
County,
TX
25,368
19,082
31,975
6,355
20,001
Maverick
County,
TX
12,262
9,698
16,251
4,294
13,514
McCulloch
County,
TX
16,544
9,881
16,557
4,616
14,528
McLennan
County,
TX
22,665
13,588
22,769
6,523
20,529
McMullen
County,
TX
29,205
16,667
27,928
5,893
18,546
Medina
County,
TX
22,455
12,804
21,455
5,485
17,262
Menard
County,
TX
14,271
9,693
16,242
3,798
11,953
Midland
County,
TX
31,164
21,055
35,281
9,562
30,094
Milam
County,
TX
18,355
11,737
19,667
4,491
14,134
Mills
County,
TX
17,558
10,660
17,863
4,183
13,165
Mitchell
County,
TX
17,600
11,759
19,704
5,597
17,615
Montague
County,
TX
19,054
12,013
20,130
5,414
17,039
Montgomery
County,
TX
32,254
22,381
37,503
7,815
24,595
Moore
County,
TX
27,466
18,482
30,970
8,464
26,638
Morris
County,
TX
19,895
16,288
27,293
6,241
19,642
Motley
County,
TX
16,780
9,656
16,180
3,972
12,501
Nacogdoches
County,
TX
19,340
11,989
20,090
5,589
17,590
Navarro
County,
TX
21,479
11,747
19,684
4,764
14,993
Newton
County,
TX
16,656
12,967
21,728
5,007
15,758
Nolan
County,
TX
20,350
13,262
22,223
5,885
18,521
Nueces
County,
TX
25,337
16,564
27,756
7,327
23,060
Ochiltree
County,
TX
26,352
20,330
34,066
8,633
27,170
Oldham
County,
TX
28,167
13,656
22,883
6,966
21,923
Orange
County,
TX
26,563
20,641
34,588
8,707
27,403
Palo
Pinto
County,
TX
20,389
13,470
22,571
7,110
22,377
Panola
County,
TX
21,027
14,785
24,775
4,831
15,204
Parker
County,
TX
30,592
17,245
28,897
7,428
23,377
Parmer
County,
TX
19,742
14,026
23,503
6,874
21,634
Pecos
County,
TX
21,170
16,316
27,340
7,708
24,259
Polk
County,
TX
18,968
11,115
18,625
4,555
14,336
Potter
County,
TX
20,472
14,307
23,974
6,840
21,527
Presidio
County,
TX
13,016
8,594
14,401
3,798
11,953
Rains
County,
TX
21,741
12,132
20,329
3,768
11,859
Randall
County,
TX
31,472
21,253
35,613
10,008
31,497
Reagan
County,
TX
28,586
17,039
28,552
7,858
24,731
Real
County,
TX
17,428
9,180
15,383
3,614
11,374
Red
River
County,
TX
16,217
9,584
16,060
3,731
11,742
Reeves
County,
TX
17,952
12,645
21,189
6,650
20,929
Refugio
County,
TX
20,733
14,415
24,155
6,154
19,368
Roberts
County,
TX
30,203
17,370
29,106
5,990
18,852
Robertson
County,
TX
17,206
10,360
17,360
3,336
10,499
March
12th,
2003
Page
146
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2821
2822
2823
2824
2825
2826
2827
2828
2829
2830
2831
2832
2833
2834
2835
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
2848
2849
2850
2851
2852
2853
2854
2855
2856
2857
2858
2859
2860
2861
2862
2863
2864
2865
2866
2867
A
B
C
D
E
F
Rockwall
County,
TX
42,417
23,055
38,633
7,607
23,941
Runnels
County,
TX
19,348
12,083
20,247
4,830
15,201
Rusk
County,
TX
22,211
14,572
24,418
5,377
16,923
Sabine
County,
TX
17,512
9,687
16,232
4,359
13,719
San
Augustine
County,
TX
15,134
10,345
17,335
4,245
13,360
San
Jacinto
County,
TX
19,867
11,850
19,857
3,234
10,178
San
Patricio
County,
TX
22,864
17,048
28,567
6,447
20,290
San
Saba
County,
TX
14,462
10,072
16,877
3,769
11,862
Schleicher
County,
TX
21,696
14,448
24,210
6,486
20,413
Scurry
County,
TX
24,046
16,324
27,354
6,880
21,653
Shackelford
County,
TX
18,773
13,511
22,640
5,929
18,660
Shelby
County,
TX
17,446
10,991
18,417
4,236
13,332
Sherman
County,
TX
23,005
16,590
27,799
7,401
23,292
Smith
County,
TX
25,769
16,348
27,394
7,089
22,311
Somervell
County,
TX
29,539
16,356
27,407
5,494
17,291
Starr
County,
TX
10,182
7,619
12,767
3,289
10,351
Stephens
County,
TX
19,203
12,681
21,249
4,934
15,528
Sterling
County,
TX
25,208
13,720
22,990
5,884
18,518
Stonewall
County,
TX
21,210
12,137
20,338
5,916
18,619
Sutton
County,
TX
20,933
17,983
30,134
5,365
16,885
Swisher
County,
TX
19,569
12,455
20,871
6,743
21,222
Tarrant
County,
TX
32,335
18,642
31,238
9,275
29,190
Taylor
County,
TX
24,661
15,072
25,256
6,807
21,423
Terrell
County,
TX
21,213
15,213
25,492
5,708
17,964
Terry
County,
TX
22,392
14,332
24,016
6,753
21,253
Throckmorton
County,
TX
18,844
10,712
17,950
5,318
16,737
Titus
County,
TX
22,173
15,285
25,613
5,536
17,423
Tom
Green
County,
TX
24,349
14,509
24,312
6,554
20,627
Travis
County,
TX
27,488
15,741
26,377
7,823
24,621
Trinity
County,
TX
16,963
10,486
17,571
4,185
13,171
Tyler
County,
TX
20,647
12,135
20,334
5,033
15,840
Upshur
County,
TX
21,889
15,026
25,179
5,103
16,060
Upton
County,
TX
24,342
14,663
24,570
7,353
23,141
Uvalde
County,
TX
18,001
11,577
19,399
4,914
15,465
Val
Verde
County,
TX
18,042
11,529
19,319
5,983
18,830
Van
Zandt
County,
TX
21,072
12,825
21,491
5,413
17,036
Victoria
County,
TX
26,945
18,349
30,747
7,188
22,622
Walker
County,
TX
21,631
12,905
21,625
5,257
16,545
Waller
County,
TX
22,334
17,379
29,122
5,632
17,725
Ward
County,
TX
22,270
16,175
27,104
8,174
25,725
Washington
County,
TX
23,052
13,891
23,277
4,533
14,266
Webb
County,
TX
18,074
11,154
18,690
4,527
14,247
Wharton
County,
TX
23,896
15,358
25,735
5,572
17,536
Wheeler
County,
TX
20,108
13,691
22,942
5,584
17,574
Wichita
County,
TX
23,899
15,361
25,740
6,912
21,754
Wilbarger
County,
TX
20,886
11,998
20,105
5,162
16,246
Willacy
County,
TX
14,590
10,083
16,896
3,939
12,397
March
12th,
2003
Page
147
of
157
5­
1200
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County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2868
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2870
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2872
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2881
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2884
2885
2886
2887
2888
2889
2890
2891
2892
2893
2894
2895
2896
2897
2898
2899
2900
2901
2902
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
2913
2914
A
B
C
D
E
F
Williamson
County,
TX
33,695
19,569
32,791
5,411
17,030
Wilson
County,
TX
23,184
13,458
22,551
4,970
15,642
Winkler
County,
TX
22,366
16,741
28,052
8,111
25,527
Wise
County,
TX
25,885
16,381
27,449
6,731
21,184
Wood
County,
TX
20,927
12,798
21,445
5,098
16,044
Yoakum
County,
TX
26,442
17,697
29,654
7,952
25,027
Young
County,
TX
21,710
14,300
23,962
5,568
17,524
Zapata
County,
TX
14,926
10,289
17,241
3,346
10,531
Zavala
County,
TX
11,822
8,907
14,925
4,459
14,033
Utah
$
29,470
$
17,671
$
29,611
$
8,482
$
26,695
Beaver
County,
UT
21,092
12,755
21,373
6,250
19,670
Box
Elder
County,
UT
33,468
17,428
29,204
8,437
26,553
Cache
County,
UT
26,949
14,902
24,971
6,700
21,086
Carbon
County,
UT
25,555
20,149
33,763
7,504
23,617
Daggett
County,
UT
22,941
16,488
27,629
8,966
28,218
Davis
County,
UT
35,108
20,862
34,958
10,600
33,360
Duchesne
County,
UT
23,653
17,345
29,065
6,954
21,886
Emery
County,
UT
30,525
20,299
34,015
6,188
19,475
Garfield
County,
UT
21,160
12,364
20,718
6,234
19,620
Grand
County,
UT
21,695
17,163
28,760
8,542
26,883
Iron
County,
UT
23,185
14,471
24,249
7,204
22,672
Juab
County,
UT
23,569
15,095
25,294
6,695
21,071
Kane
County,
UT
21,134
12,244
20,517
7,099
22,342
Millard
County,
UT
26,376
13,004
21,790
6,108
19,223
Morgan
County,
UT
33,274
20,882
34,991
8,674
27,299
Piute
County,
UT
19,125
11,420
19,136
6,183
19,459
Rich
County,
UT
24,940
16,142
27,049
6,857
21,580
Salt
Lake
County,
UT
30,149
18,418
30,863
8,756
27,557
San
Juan
County,
UT
17,289
13,216
22,146
6,091
19,170
Sanpete
County,
UT
20,197
12,224
20,483
5,598
17,618
Sevier
County,
UT
23,300
15,733
26,363
6,543
20,592
Summit
County,
UT
36,756
19,577
32,805
7,522
23,673
Tooele
County,
UT
30,178
19,682
32,981
9,176
28,879
Uintah
County,
UT
23,968
18,555
31,092
7,447
23,437
Utah
County,
UT
27,432
16,197
27,141
7,620
23,982
Wasatch
County,
UT
27,981
15,519
26,005
7,496
23,591
Washington
County,
UT
24,602
13,507
22,633
6,001
18,886
Wayne
County,
UT
20,000
11,047
18,511
5,442
17,127
Weber
County,
UT
30,125
17,287
28,967
8,998
28,319
Vermont
$
29,792
$
14,790
$
24,783
$
7,961
$
25,055
Addison
County,
VT
30,112
14,751
24,718
7,910
24,894
Bennington
County,
VT
28,485
14,719
24,664
7,900
24,863
Caledonia
County,
VT
25,356
13,131
22,003
6,679
21,020
Chittenden
County,
VT
36,877
17,569
29,440
9,661
30,405
Essex
County,
VT
22,358
12,369
20,726
6,798
21,395
March
12th,
2003
Page
148
of
157
5­
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­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2915
2916
2917
2918
2919
2920
2921
2922
2923
2924
2925
2926
2927
2928
2929
2930
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
2941
2942
2943
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
A
B
C
D
E
F
Franklin
County,
VT
28,401
14,025
23,501
7,195
22,644
Grand
Isle
County,
VT
30,536
14,768
24,746
7,991
25,149
Lamoille
County,
VT
27,315
13,238
22,183
7,487
23,563
Orange
County,
VT
28,004
12,867
21,561
6,804
21,414
Orleans
County,
VT
22,809
12,453
20,867
6,512
20,495
Rutland
County,
VT
28,229
14,765
24,741
7,489
23,569
Washington
County,
VT
29,623
14,382
24,100
7,825
24,627
Windham
County,
VT
27,767
13,696
22,950
7,657
24,098
Windsor
County,
VT
29,258
15,360
25,738
8,370
26,342
Virginia
$
33,328
$
17,475
$
29,282
$
8,293
$
26,100
Accomack
County,
VA
20,431
10,873
18,220
4,700
14,792
Albemarle
County,
VA
36,886
17,808
29,840
8,332
26,223
Alleghany
County,
VA
26,486
15,925
26,685
6,913
21,757
Amelia
County,
VA
26,612
14,253
23,883
5,161
16,243
Amherst
County,
VA
27,771
16,587
27,794
7,466
23,497
Appomattox
County,
VA
25,612
16,324
27,354
6,916
21,766
Arlington
County,
VA
44,600
21,713
36,384
11,486
36,149
Augusta
County,
VA
29,474
16,026
26,854
7,490
23,573
Bath
County,
VA
24,203
13,293
22,275
4,593
14,455
Bedford
County,
VA
30,712
16,145
27,054
6,912
21,754
Bland
County,
VA
23,587
13,867
23,237
5,291
16,652
Botetourt
County,
VA
33,079
17,142
28,724
7,213
22,701
Brunswick
County,
VA
19,424
10,950
18,349
5,265
16,570
Buchanan
County,
VA
19,851
15,446
25,882
5,933
18,672
Buckingham
County,
VA
22,661
11,461
19,205
4,923
15,494
Campbell
County,
VA
27,212
16,718
28,014
8,511
26,786
Caroline
County,
VA
28,934
14,482
24,267
6,352
19,991
Carroll
County,
VA
21,564
12,088
20,256
5,475
17,231
Charles
City
County,
VA
29,544
17,120
28,688
5,461
17,187
Charlotte
County,
VA
20,481
11,070
18,550
5,134
16,158
Chesterfield
County,
VA
43,604
23,924
40,089
10,729
33,766
Clarke
County,
VA
34,636
16,649
27,898
7,188
22,622
Craig
County,
VA
25,106
13,562
22,726
5,885
18,521
Culpeper
County,
VA
33,523
15,537
26,035
6,681
21,026
Cumberland
County,
VA
22,115
11,398
19,099
4,733
14,896
Dickenson
County,
VA
16,292
13,532
22,675
4,598
14,471
Dinwiddie
County,
VA
29,388
16,642
27,887
7,492
23,579
Essex
County,
VA
26,074
14,059
23,558
6,111
19,233
Fairfax
County,
VA
59,284
30,011
50,289
14,854
46,749
Fauquier
County,
VA
45,222
19,331
32,392
7,311
23,009
Floyd
County,
VA
22,968
12,230
20,494
5,956
18,745
Fluvanna
County,
VA
31,378
13,276
22,246
6,083
19,144
Franklin
County,
VA
26,357
14,892
24,954
6,600
20,772
Frederick
County,
VA
32,806
17,110
28,671
7,701
24,237
Giles
County,
VA
24,125
13,589
22,771
6,505
20,473
Gloucester
County,
VA
31,591
16,126
27,022
7,148
22,496
March
12th,
2003
Page
149
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
2962
2963
2964
2965
2966
2967
2968
2969
2970
2971
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
2983
2984
2985
2986
2987
2988
2989
2990
2991
2992
2993
2994
2995
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
A
B
C
D
E
F
Goochland
County,
VA
36,239
18,145
30,405
6,550
20,614
Grayson
County,
VA
19,324
11,732
19,659
5,369
16,897
Greene
County,
VA
29,799
16,293
27,302
6,452
20,306
Greensville
County,
VA
22,116
11,655
19,530
5,327
16,765
Halifax
County,
VA
22,296
12,183
20,415
5,471
17,218
Hanover
County,
VA
40,683
21,349
35,774
9,354
29,439
Henrico
County,
VA
35,604
20,096
33,674
10,798
33,984
Henry
County,
VA
25,834
15,891
26,628
8,041
25,307
Highland
County,
VA
20,903
13,569
22,737
4,402
13,854
Isle
of
Wight
County,
VA
29,168
16,862
28,255
6,742
21,218
James
City
County,
VA
39,785
18,706
31,345
8,233
25,911
King
and
Queen
County,
VA
25,755
12,103
20,281
5,740
18,065
King
George
County,
VA
35,556
18,050
30,246
8,673
27,296
King
William
County,
VA
33,676
17,471
29,276
7,068
22,244
Lancaster
County,
VA
27,275
13,217
22,147
5,174
16,284
Lee
County,
VA
14,618
10,436
17,487
3,471
10,924
Loudoun
County,
VA
52,064
24,434
40,943
9,823
30,915
Louisa
County,
VA
26,169
13,871
23,243
5,486
17,266
Lunenburg
County,
VA
19,459
11,628
19,485
4,902
15,428
Madison
County,
VA
26,662
13,272
22,240
5,392
16,970
Mathews
County,
VA
27,428
15,051
25,221
6,462
20,337
Mecklenburg
County,
VA
20,901
12,561
21,048
5,734
18,046
Middlesex
County,
VA
25,167
12,171
20,395
5,236
16,479
Montgomery
County,
VA
22,949
13,082
21,921
7,407
23,311
Nansemond
County,
VA
(
NA)
(
NA)
(
NA)
6,446
20,287
Nelson
County,
VA
23,705
12,210
20,460
4,897
15,412
New
Kent
County,
VA
38,403
18,629
31,216
6,396
20,130
Northampton
County,
VA
18,117
9,930
16,639
4,093
12,882
Northumberland
County,
VA
23,065
13,589
22,771
4,968
15,635
Nottoway
County,
VA
21,774
13,426
22,498
6,102
19,204
Orange
County,
VA
31,782
13,719
22,989
6,316
19,878
Page
County,
VA
24,971
12,646
21,191
6,015
18,930
Patrick
County,
VA
22,287
13,015
21,809
6,434
20,249
Pittsylvania
County,
VA
25,585
14,177
23,756
6,177
19,440
Powhatan
County,
VA
37,394
19,507
32,687
6,680
21,023
Prince
Edward
County,
VA
21,395
12,295
20,602
5,697
17,930
Prince
George
County,
VA
34,825
17,453
29,246
8,530
26,846
Prince
William
County,
VA
49,370
25,435
42,621
11,088
34,896
Pulaski
County,
VA
23,319
14,482
24,267
7,466
23,497
Rappahannock
County,
VA
32,377
14,583
24,436
5,398
16,989
Richmond
County,
VA
24,583
13,946
23,369
5,678
17,870
Roanoke
County,
VA
36,886
20,458
34,281
10,059
31,658
Rockbridge
County,
VA
24,955
13,522
22,658
6,414
20,186
Rockingham
County,
VA
29,637
15,505
25,981
7,000
22,030
Russell
County,
VA
17,853
13,787
23,103
5,440
17,121
Scott
County,
VA
18,346
10,851
18,183
5,330
16,775
Shenandoah
County,
VA
26,527
13,483
22,593
6,220
19,576
March
12th,
2003
Page
150
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
3009
3010
3011
3012
3013
3014
3015
3016
3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
3031
3032
3033
3034
3035
3036
3037
3038
3039
3040
3041
3042
3043
3044
3045
3046
3047
3048
3049
3050
3051
3052
3053
3054
3055
A
B
C
D
E
F
Smyth
County,
VA
20,912
12,577
21,075
6,643
20,907
Southampton
County,
VA
26,376
13,891
23,277
5,165
16,255
Spotsylvania
County,
VA
41,342
19,222
32,210
7,241
22,789
Stafford
County,
VA
44,661
21,667
36,307
8,265
26,012
Surry
County,
VA
25,027
13,373
22,409
6,092
19,173
Sussex
County,
VA
20,833
12,842
21,519
5,833
18,358
Tazewell
County,
VA
19,670
14,667
24,577
5,856
18,430
Warren
County,
VA
31,062
14,921
25,003
7,100
22,345
Washington
County,
VA
22,179
13,136
22,012
5,897
18,559
Westmoreland
County,
VA
24,654
13,361
22,389
4,988
15,698
Wise
County,
VA
19,594
14,810
24,817
5,189
16,331
Wythe
County,
VA
20,964
13,142
22,022
6,123
19,270
York
County,
VA
40,363
20,916
35,048
9,541
30,028
INDEPENDENT
CITIES
Alexandria
city,
VA
$
41,472
$
21,016
$
35,216
$
10,203
$
32,111
Bedford
city,
VA
22,787
12,495
20,938
7,288
22,937
Bristol
city,
VA
19,226
13,284
22,260
5,478
17,240
Buena
Vista
city,
VA
23,929
14,321
23,997
7,039
22,153
Charlottesville
city,
VA
24,190
13,942
23,362
7,758
24,416
Chesapeake
city,
VA
35,737
18,831
31,555
8,664
27,267
Clifton
Forge
city,
VA
20,659
13,373
22,409
6,515
20,504
Colonial
Heights
city,
VA
34,472
21,078
35,320
10,262
32,297
Covington
city,
VA
20,913
13,671
22,908
7,291
22,946
Danville
city,
VA
20,413
13,717
22,985
6,906
21,735
Emporia
city,
VA
21,009
12,069
20,224
6,283
19,774
Fairfax
city,
VA
50,913
25,810
43,249
13,956
43,922
Falls
Church
city,
VA
51,011
24,517
41,083
12,585
39,608
Franklin
city,
VA
20,357
13,459
22,553
6,891
21,687
Fredericksburg
city,
VA
26,614
14,262
23,898
8,165
25,697
Galax
city,
VA
20,263
11,224
18,808
6,421
20,208
Hampton
city,
VA
30,144
16,971
28,438
9,093
28,618
Harrisonburg
city,
VA
25,312
13,884
23,265
7,202
22,666
Hopewell
city,
VA
26,934
16,317
27,342
8,470
26,657
Lexington
city,
VA
21,361
12,248
20,524
7,026
22,112
Lynchburg
city,
VA
23,726
15,312
25,658
7,521
23,670
Manassas
city,
VA
46,674
24,703
41,394
(
NA)
(
NA)

Manassas
Park
city,
VA
39,076
20,662
34,623
(
NA)
(
NA)

Martinsville
city,
VA
22,446
14,527
24,343
8,118
25,549
Newport
News
city,
VA
27,469
15,974
26,767
8,602
27,072
Norfolk
city,
VA
23,563
12,509
20,961
6,932
21,816
Norton
city,
VA
15,460
13,120
21,985
5,868
18,468
Petersburg
city,
VA
21,309
13,434
22,511
6,646
20,916
Poquoson
city,
VA
43,236
23,963
40,154
(
NA)
(
NA)

Portsmouth
city,
VA
24,601
14,195
23,786
7,458
23,472
Radford
city,
VA
19,487
14,434
24,187
8,387
26,396
Richmond
city,
VA
23,551
13,606
22,799
7,396
23,277
March
12th,
2003
Page
151
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
3056
3057
3058
3059
3060
3061
3062
3063
3064
3065
3066
3067
3068
3069
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
3086
3087
3088
3089
3090
3091
3092
3093
3094
3095
3096
3097
3098
3099
3100
3101
3102
A
B
C
D
E
F
Roanoke
city,
VA
22,591
13,271
22,238
7,118
22,402
Salem
city,
VA
29,047
16,072
26,931
8,519
26,811
South
Boston
city,
VA
20,401
13,724
22,997
6,553
20,624
Staunton
city,
VA
25,366
15,996
26,804
8,240
25,933
Suffolk
city,
VA
26,125
15,202
25,474
6,771
21,310
Virginia
Beach
city,
VA
36,271
20,203
33,854
9,840
30,969
Waynesboro
city,
VA
26,668
16,081
26,947
9,131
28,737
Williamsburg
city,
VA
25,393
15,004
25,142
8,170
25,713
Winchester
city,
VA
26,086
13,955
23,384
7,079
22,279
Washington
$
31,183
$
18,367
$
30,777
$
9,125
$
28,718
Adams
County,
WA
24,604
16,834
28,208
8,352
26,285
Asotin
County,
WA
22,897
15,292
25,624
6,998
22,024
Benton
County,
WA
32,593
22,898
38,370
9,833
30,946
Chelan
County,
WA
24,312
15,428
25,852
7,108
22,370
Clallam
County,
WA
25,434
16,890
28,302
8,070
25,398
Clark
County,
WA
31,800
18,959
31,769
9,166
28,847
Columbia
County,
WA
22,418
14,067
23,572
7,382
23,233
Cowlitz
County,
WA
27,866
18,593
31,156
8,945
28,152
Douglas
County,
WA
27,054
16,388
27,461
8,638
27,186
Ferry
County,
WA
25,170
14,665
24,574
7,293
22,953
Franklin
County,
WA
24,604
18,082
30,300
8,585
27,019
Garfield
County,
WA
25,156
16,270
27,263
6,838
21,521
Grant
County,
WA
22,372
15,191
25,455
7,674
24,152
Grays
Harbor
County,
WA
23,042
17,080
28,621
7,947
25,011
Island
County,
WA
29,161
15,660
26,241
7,903
24,872
Jefferson
County,
WA
25,197
15,353
25,727
7,871
24,772
King
County,
WA
36,179
20,717
34,715
10,406
32,750
Kitsap
County,
WA
32,043
18,942
31,741
9,414
29,628
Kittitas
County,
WA
20,489
12,703
21,286
6,835
21,511
Klickitat
County,
WA
23,012
15,948
26,724
7,415
23,337
Lewis
County,
WA
24,410
15,116
25,330
7,492
23,579
Lincoln
County,
WA
24,617
16,556
27,742
8,073
25,407
Mason
County,
WA
26,304
16,137
27,040
8,419
26,496
Okanogan
County,
WA
20,303
13,843
23,196
6,699
21,083
Pacific
County,
WA
20,029
14,103
23,632
6,924
21,791
Pend
Oreille
County,
WA
20,808
12,252
20,530
6,153
19,365
Pierce
County,
WA
30,412
17,221
28,857
8,719
27,441
San
Juan
County,
WA
31,278
16,026
26,854
7,027
22,115
Skagit
County,
WA
28,389
16,472
27,602
8,215
25,854
Skamania
County,
WA
28,778
19,509
32,691
7,926
24,945
Snohomish
County,
WA
36,847
20,760
34,787
10,068
31,686
Spokane
County,
WA
25,769
15,930
26,694
7,957
25,042
Stevens
County,
WA
24,440
14,791
24,785
6,088
19,160
Thurston
County,
WA
30,976
17,946
30,072
9,218
29,011
Wahkiakum
County,
WA
26,969
19,452
32,595
7,811
24,583
Walla
Walla
County,
WA
24,414
15,660
26,241
7,774
24,466
March
12th,
2003
Page
152
of
157
5­
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­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
3103
3104
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
3117
3118
3119
3120
3121
3122
3123
3124
3125
3126
3127
3128
3129
3130
3131
3132
3133
3134
3135
3136
3137
3138
3139
3140
3141
3142
3143
3144
3145
3146
3147
3148
3149
A
B
C
D
E
F
Whatcom
County,
WA
28,367
16,051
26,896
7,955
25,036
Whitman
County,
WA
21,674
14,108
23,640
7,532
23,705
Yakima
County,
WA
23,612
14,780
24,766
6,748
21,237
West
Virginia
$
20,795
$
14,564
$
24,405
$
6,487
$
20,416
Barbour
County,
WV
15,607
11,996
20,101
4,547
14,310
Berkeley
County,
WV
27,412
15,390
25,789
7,045
22,172
Boone
County,
WV
17,073
16,362
27,417
5,260
16,554
Braxton
County,
WV
16,359
10,286
17,236
3,787
11,918
Brooke
County,
WV
26,500
19,600
32,843
8,594
27,047
Cabell
County,
WV
21,255
14,304
23,969
6,776
21,325
Calhoun
County,
WV
14,496
10,000
16,757
3,874
12,192
Clay
County,
WV
12,855
9,835
16,480
3,691
11,616
Doddridge
County,
WV
17,159
10,704
17,936
4,656
14,653
Fayette
County,
WV
16,774
12,564
21,053
4,991
15,708
Gilmer
County,
WV
14,539
10,063
16,862
3,603
11,339
Grant
County,
WV
20,923
11,675
19,564
4,973
15,651
Greenbrier
County,
WV
19,411
12,197
20,438
5,429
17,086
Hampshire
County,
WV
20,753
11,926
19,984
5,524
17,385
Hancock
County,
WV
26,031
20,701
34,688
9,680
30,465
Hardy
County,
WV
20,745
11,577
19,399
4,741
14,921
Harrison
County,
WV
20,367
13,794
23,114
6,600
20,772
Jackson
County,
WV
21,655
17,223
28,860
7,237
22,776
Jefferson
County,
WV
30,941
15,803
26,481
6,991
22,002
Kanawha
County,
WV
23,999
17,291
28,974
7,626
24,001
Lewis
County,
WV
17,972
12,383
20,750
4,981
15,676
Lincoln
County,
WV
14,659
11,788
19,753
4,266
13,426
Logan
County,
WV
17,942
14,533
24,353
5,958
18,751
Marion
County,
WV
20,386
14,418
24,160
6,655
20,945
Marshall
County,
WV
22,687
17,331
29,041
7,700
24,234
Mason
County,
WV
20,135
15,082
25,273
5,891
18,540
McDowell
County,
WV
13,141
12,091
20,261
5,076
15,975
Mercer
County,
WV
19,365
13,841
23,193
5,921
18,635
Mineral
County,
WV
22,036
14,662
24,569
6,527
20,542
Mingo
County,
WV
16,066
12,541
21,015
4,357
13,712
Monongalia
County,
WV
22,183
13,371
22,405
6,606
20,790
Monroe
County,
WV
18,217
11,388
19,083
4,770
15,012
Morgan
County,
WV
24,372
13,632
22,843
6,018
18,940
Nicholas
County,
WV
18,116
13,565
22,731
5,774
18,172
Ohio
County,
WV
22,489
15,083
25,274
7,395
23,274
Pendleton
County,
WV
19,565
10,956
18,359
4,559
14,348
Pleasants
County,
WV
20,910
16,182
27,116
6,969
21,933
Pocahontas
County,
WV
17,237
12,355
20,703
4,547
14,310
Preston
County,
WV
19,940
12,979
21,749
5,104
16,063
Putnam
County,
WV
27,405
18,186
30,474
7,346
23,119
Raleigh
County,
WV
19,566
15,164
25,410
5,612
17,662
Randolph
County,
WV
18,278
12,801
21,450
5,085
16,004
March
12th,
2003
Page
153
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
3150
3151
3152
3153
3154
3155
3156
3157
3158
3159
3160
3161
3162
3163
3164
3165
3166
3167
3168
3169
3170
3171
3172
3173
3174
3175
3176
3177
3178
3179
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3190
3191
3192
3193
3194
3195
3196
A
B
C
D
E
F
Ritchie
County,
WV
17,333
11,381
19,071
4,713
14,833
Roane
County,
WV
15,375
11,623
19,476
4,717
14,845
Summers
County,
WV
16,457
10,738
17,993
4,174
13,136
Taylor
County,
WV
17,963
12,678
21,244
5,514
17,354
Tucker
County,
WV
17,949
11,522
19,307
4,524
14,238
Tyler
County,
WV
20,360
15,107
25,314
6,072
19,110
Upshur
County,
WV
18,739
13,074
21,908
4,922
15,491
Wayne
County,
WV
19,688
13,951
23,377
6,064
19,085
Webster
County,
WV
13,371
9,801
16,423
3,570
11,236
Wetzel
County,
WV
21,545
16,149
27,060
7,130
22,440
Wirt
County,
WV
16,951
12,222
20,480
4,643
14,612
Wood
County,
WV
25,161
16,583
27,788
7,906
24,882
Wyoming
County,
WV
17,248
15,870
26,593
6,368
20,041
Wisconsin
$
29,442
$
17,680
$
29,626
$
8,997
$
28,315
Adams
County,
WI
21,548
12,990
21,767
6,073
19,113
Ashland
County,
WI
19,012
11,666
19,548
5,870
18,474
Barron
County,
WI
22,570
13,421
22,489
6,553
20,624
Bayfield
County,
WI
20,666
11,768
19,719
5,685
17,892
Brown
County,
WI
31,303
18,595
31,159
9,461
29,776
Buffalo
County,
WI
23,573
13,422
22,491
6,352
19,991
Burnett
County,
WI
20,153
11,129
18,649
5,156
16,227
Calumet
County,
WI
34,050
20,452
34,271
9,289
29,234
Chippewa
County,
WI
25,858
15,203
25,475
8,022
25,247
Clark
County,
WI
22,177
12,805
21,457
6,304
19,840
Columbia
County,
WI
28,360
16,385
27,456
8,421
26,503
Crawford
County,
WI
21,436
12,300
20,611
5,571
17,533
Dane
County,
WI
32,703
18,309
30,680
9,726
30,610
Dodge
County,
WI
29,166
18,126
30,373
8,861
27,887
Door
County,
WI
26,259
15,802
26,479
7,077
22,273
Douglas
County,
WI
22,122
15,066
25,246
7,339
23,097
Dunn
County,
WI
24,452
13,871
23,243
6,706
21,105
Eau
Claire
County,
WI
25,886
15,300
25,638
8,592
27,041
Florence
County,
WI
22,416
11,903
19,946
6,056
19,059
Fond
du
Lac
County,
WI
29,441
18,159
30,429
9,154
28,810
Forest
County,
WI
16,907
11,214
18,791
5,612
17,662
Grant
County,
WI
24,505
15,122
25,340
7,313
23,016
Green
County,
WI
28,435
16,766
28,094
7,703
24,243
Green
Lake
County,
WI
25,708
15,057
25,231
7,705
24,249
Iowa
County,
WI
25,914
14,350
24,046
7,542
23,736
Iron
County,
WI
17,537
9,944
16,663
5,662
17,819
Jackson
County,
WI
21,409
12,574
21,070
6,717
21,140
Jefferson
County,
WI
30,749
18,206
30,507
8,831
27,793
Juneau
County,
WI
22,073
12,528
20,993
6,527
20,542
Kenosha
County,
WI
30,638
20,084
33,654
9,461
29,776
Kewaunee
County,
WI
26,927
16,519
27,680
8,154
25,662
La
Crosse
County,
WI
26,857
15,900
26,643
8,015
25,225
March
12th,
2003
Page
154
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
3197
3198
3199
3200
3201
3202
3203
3204
3205
3206
3207
3208
3209
3210
3211
3212
3213
3214
3215
3216
3217
3218
3219
3220
3221
3222
3223
3224
3225
3226
3227
3228
3229
3230
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
A
B
C
D
E
F
Lafayette
County,
WI
24,479
15,224
25,510
6,914
21,760
Langlade
County,
WI
20,703
12,738
21,345
6,078
19,129
Lincoln
County,
WI
25,175
14,267
23,907
7,165
22,550
Manitowoc
County,
WI
27,467
17,622
29,529
8,808
27,721
Marathon
County,
WI
30,143
17,344
29,063
8,307
26,144
Marinette
County,
WI
22,396
13,945
23,367
6,724
21,162
Marquette
County,
WI
22,234
12,586
21,090
6,331
19,925
Menominee
County,
WI
14,122
13,352
22,374
5,831
18,351
Milwaukee
County,
WI
27,867
18,122
30,367
9,696
30,515
Monroe
County,
WI
24,799
15,095
25,294
7,102
22,351
Oconto
County,
WI
22,927
13,463
22,560
6,138
19,318
Oneida
County,
WI
23,901
14,521
24,332
7,288
22,937
Outagamie
County,
WI
33,770
19,415
32,533
9,600
30,213
Ozaukee
County,
WI
42,695
25,554
42,820
12,136
38,195
Pepin
County,
WI
22,992
13,902
23,295
6,823
21,473
Pierce
County,
WI
30,520
16,801
28,153
7,865
24,753
Polk
County,
WI
24,267
14,106
23,637
6,780
21,338
Portage
County,
WI
28,686
16,659
27,915
8,380
26,374
Price
County,
WI
22,662
11,947
20,019
5,786
18,210
Racine
County,
WI
32,751
20,944
35,095
10,036
31,585
Richland
County,
WI
21,946
13,229
22,168
5,958
18,751
Rock
County,
WI
30,632
19,154
32,096
9,347
29,417
Rusk
County,
WI
19,617
11,565
19,379
5,780
18,191
St.
Croix
County,
WI
36,716
19,568
32,790
8,984
28,275
Sauk
County,
WI
26,217
15,507
25,985
8,496
26,739
Sawyer
County,
WI
18,094
11,118
18,630
5,016
15,786
Shawano
County,
WI
23,841
13,932
23,346
6,902
21,722
Sheboygan
County,
WI
31,603
18,719
31,367
9,175
28,876
Taylor
County,
WI
24,304
14,217
23,823
6,114
19,242
Trempealeau
County,
WI
23,864
13,566
22,732
6,303
19,837
Vernon
County,
WI
21,548
12,546
21,023
5,515
17,357
Vilas
County,
WI
20,352
12,373
20,733
5,851
18,414
Walworth
County,
WI
30,345
17,457
29,252
8,642
27,198
Washburn
County,
WI
19,962
12,046
20,185
5,701
17,942
Washington
County,
WI
38,431
21,989
36,846
10,787
33,949
Waukesha
County,
WI
44,565
25,827
43,278
12,350
38,868
Waupaca
County,
WI
26,083
15,286
25,614
7,010
22,062
Waushara
County,
WI
21,888
12,734
21,338
5,795
18,238
Winnebago
County,
WI
30,007
18,063
30,268
9,181
28,895
Wood
County,
WI
29,735
17,482
29,294
8,890
27,979
Wyoming
27,096
19,994
$
33,503
8,035
$
25,288
Albany
County,
WY
20,715
14,644
24,539
7,215
22,707
Big
Horn
County,
WY
21,454
14,682
24,602
6,847
21,549
Campbell
County,
WY
37,055
26,060
43,668
10,836
34,103
March
12th,
2003
Page
155
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
3244
3245
3246
3247
3248
3249
3250
3251
3252
3253
3254
3255
3256
3257
3258
3259
3260
3261
3262
3263
3264
3265
3266
3267
3268
3269
3270
A
B
C
D
E
F
Carbon
County,
WY
27,109
21,972
36,818
7,957
25,042
Converse
County,
WY
27,713
22,693
38,026
7,424
23,365
Crook
County,
WY
23,440
16,557
27,744
6,827
21,486
Fremont
County,
WY
22,260
20,461
34,286
8,152
25,656
Goshen
County,
WY
21,750
14,030
23,510
6,276
19,752
Hot
Springs
County,
WY
24,500
16,147
27,057
6,683
21,033
Johnson
County,
WY
22,157
16,506
27,659
6,772
21,313
Laramie
County,
WY
27,571
17,630
29,542
8,118
25,549
Lincoln
County,
WY
28,488
18,005
30,171
7,254
22,830
Natrona
County,
WY
27,586
22,867
38,318
9,227
29,039
Niobrara
County,
WY
20,947
12,830
21,499
6,425
20,221
Park
County,
WY
25,942
17,734
29,716
7,814
24,592
Platte
County,
WY
21,822
19,545
32,751
6,672
20,998
Sheridan
County,
WY
24,772
18,111
30,348
6,577
20,699
Sublette
County,
WY
26,825
17,430
29,207
8,470
26,657
Sweetwater
County,
WY
36,210
24,114
40,407
8,284
26,071
Teton
County,
WY
31,586
18,442
30,903
8,410
26,468
Uinta
County,
WY
33,259
22,584
37,843
8,409
26,465
Washakie
County,
WY
25,172
18,239
30,563
7,588
23,881
Weston
County,
WY
26,213
20,021
33,549
7,796
24,536
NA
Not
available.

SOURCE:
1970,
1980,
and
1990
Censuses
of
Population
and
Housing
Income
Statistics
Branch/
HHES
Division
U.
S.
Census
Bureau
U.
S.
Department
of
Commerce
Washington,
D.
C.
20233­
3300
(
301)
457­
3242
March
12th,
2003
Page
156
of
157
5­
1200
­
County
Income
Record
for
the
316(
b)
Notice
of
Data
Availability:
Non­
Use
Benefits
Meta­
Analysis
Literature
Review
123456789
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Consumer
Price
Index
­
All
Urban
Consumers
http://
data.
bls.
gov/
servlet/
SurveyOutputServlet?
data_
tool=
latest_
numbers&
series_
id=
CUUR0000SA0&
output_
view=
pct_
12mths
Series
Id:
CUUR0000SA0
Not
Seasonally
Adjusted
Area:
U.
S.
city
average
Item:
All
items
Base
Period:
1982­
84=
100
Year
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Annual
HALF1
HALF2
1965
31.2
31.2
31.3
31.4
31.4
31.6
31.6
31.6
31.6
31.7
31.7
31.8
31.5
1966
31.8
32
32.1
32.3
32.3
32.4
32.5
32.7
32.7
32.9
32.9
32.9
32.4
1967
32.9
32.9
33
33.1
33.2
33.3
33.4
33.5
33.6
33.7
33.8
33.9
33.4
1968
34.1
34.2
34.3
34.4
34.5
34.7
34.9
35
35.1
35.3
35.4
35.5
34.8
1969
35.6
35.8
36.1
36.3
36.4
36.6
36.8
37
37.1
37.3
37.5
37.7
36.7
1970
37.8
38
38.2
38.5
38.6
38.8
39
39
39.2
39.4
39.6
39.8
38.8
1971
39.8
39.9
40
40.1
40.3
40.6
40.7
40.8
40.8
40.9
40.9
41.1
40.5
1972
41.1
41.3
41.4
41.5
41.6
41.7
41.9
42
42.1
42.3
42.4
42.5
41.8
1973
42.6
42.9
43.3
43.6
43.9
44.2
44.3
45.1
45.2
45.6
45.9
46.2
44.4
1974
46.6
47.2
47.8
48
48.6
49
49.4
50
50.6
51.1
51.5
51.9
49.3
1975
52.1
52.5
52.7
52.9
53.2
53.6
54.2
54.3
54.6
54.9
55.3
55.5
53.8
1976
55.6
55.8
55.9
56.1
56.5
56.8
57.1
57.4
57.6
57.9
58
58.2
56.9
1977
58.5
59.1
59.5
60
60.3
60.7
61
61.2
61.4
61.6
61.9
62.1
60.6
1978
62.5
62.9
63.4
63.9
64.5
65.2
65.7
66
66.5
67.1
67.4
67.7
65.2
1979
68.3
69.1
69.8
70.6
71.5
72.3
73.1
73.8
74.6
75.2
75.9
76.7
72.6
1980
77.8
78.9
80.1
81
81.8
82.7
82.7
83.3
84
84.8
85.5
86.3
82.4
1981
87
87.9
88.5
89.1
89.8
90.6
91.6
92.3
93.2
93.4
93.7
94
90.9
1982
94.3
94.6
94.5
94.9
95.8
97
97.5
97.7
97.9
98.2
98
97.6
96.5
1983
97.8
97.9
97.9
98.6
99.2
99.5
99.9
100.2
100.7
101
101.2
101.3
99.6
1984
101.9
102.4
102.6
103.1
103.4
103.7
104.1
104.5
105
105.3
105.3
105.3
103.9
102.9
104.9
1985
105.5
106
106.4
106.9
107.3
107.6
107.8
108
108.3
108.7
109
109.3
107.6
106.6
108.5
1986
109.6
109.3
108.8
108.6
108.9
109.5
109.5
109.7
110.2
110.3
110.4
110.5
109.6
109.1
110.1
1987
111.2
111.6
112.1
112.7
113.1
113.5
113.8
114.4
115
115.3
115.4
115.4
113.6
112.4
114.9
1988
115.7
116
116.5
117.1
117.5
118
118.5
119
119.8
120.2
120.3
120.5
118.3
116.8
119.7
1989
121.1
121.6
122.3
123.1
123.8
124.1
124.4
124.6
125
125.6
125.9
126.1
124
122.7
125.3
1990
127.4
128
128.7
128.9
129.2
129.9
130.4
131.6
132.7
133.5
133.8
133.8
130.7
128.7
132.6
1991
134.6
134.8
135
135.2
135.6
136
136.2
136.6
137.2
137.4
137.8
137.9
136.2
135.2
137.2
1992
138.1
138.6
139.3
139.5
139.7
140.2
140.5
140.9
141.3
141.8
142
141.9
140.3
139.2
141.4
1993
142.6
143.1
143.6
144
144.2
144.4
144.4
144.8
145.1
145.7
145.8
145.8
144.5
143.7
145.3
1994
146.2
146.7
147.2
147.4
147.5
148
148.4
149
149.4
149.5
149.7
149.7
148.2
147.2
149.3
1995
150.3
150.9
151.4
151.9
152.2
152.5
152.5
152.9
153.2
153.7
153.6
153.5
152.4
151.5
153.2
1996
154.4
154.9
155.7
156.3
156.6
156.7
157
157.3
157.8
158.3
158.6
158.6
156.9
155.8
157.9
1997
159.1
159.6
160
160.2
160.1
160.3
160.5
160.8
161.2
161.6
161.5
161.3
160.5
159.9
161.2
1998
161.6
161.9
162.2
162.5
162.8
163
163.2
163.4
163.6
164
164
163.9
163
162.3
163.7
1999
164.3
164.5
165
166.2
166.2
166.2
166.7
167.1
167.9
168.2
168.3
168.3
166.6
165.4
167.8
2000
168.8
169.8
171.2
171.3
171.5
172.4
172.8
172.8
173.7
174
174.1
174
172.2
170.8
173.6
2001
175.1
175.8
176.2
176.9
177.7
178
177.5
177.5
178.3
177.7
177.4
176.7
177.1
176.6
177.5
2002
177.1
177.8
178.8
179.8
179.8
179.9
180.1
180.7
181
181.3
181.3
180.9
179.9
178.9
180.9
March
12th,
2003
Page
157
of
157
5­
1200
­
CPI