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Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Atlantic
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Burlington
Burlington
Burlington
Camden
Camden
Camden
Camden
Cape May
Cumberland
Essex
Essex
Essex
Essex
Essex
Essex
Essex
Essex
Essex
Essex
Gloucester
Gloucester
Gloucester
Hudson
Hudson
Hudson

municipality name
Ventnor City
Bergenfield
Cliffside Park
Dumont
Elmwood Park
Englewood
Englewood Cliffs
Fair Lawn
Fairview
Fort Lee
Garfield
Hackensack
Hasbrouck Heights
Leonia
Little Ferry
Lodi
Lyndhurst
Maywood
New Milford
North Arlington
Palisades Park
Ridgefield Park
River Edge
Rochelle Park
Rutherford
Saddle Brook
South Hackensack Twp.
Teaneck
Wallington
Westwood
Wood‐Ridge
Bordentown city
Mount Holly
Riverside
Audubon
Camden
Collingswood
Haddon Twp.
Wildwood
Bridgeton
Belleville
Bloomfield
Caldwell
Orange
East Orange
Irvington
Maplewood
Montclair
Newark
Nutley
Swedesboro
Westville
Woodbury
Bayonne
East Newark
Guttenberg

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

net activity density category
small city / urban suburb
small city / urban suburb
urban
small city / urban suburb
small city / urban suburb
dense suburban / small town
dense suburban / small town
dense suburban / small town
urban
urban
urban
urban
small city / urban suburb
dense suburban / small town
small city / urban suburb
small city / urban suburb
small city / urban suburb
small city / urban suburb
dense suburban / small town
dense suburban / small town
urban
small city / urban suburb
dense suburban / small town
small city / urban suburb
small city / urban suburb
dense suburban / small town
small city / urban suburb
small city / urban suburb
small city / urban suburb
dense suburban / small town
dense suburban / small town
dense suburban / small town
dense suburban / small town
dense suburban / small town
dense suburban / small town
small city / urban suburb
dense suburban / small town
dense suburban / small town
dense suburban / small town
dense suburban / small town
small city / urban suburb
small city / urban suburb
dense suburban / small town
urban
urban
urban
dense suburban / small town
dense suburban / small town
urban
small city / urban suburb
urban
dense suburban / small town
small city / urban suburb
small city / urban suburb
urban
urban

Page 1 of 11

presence of a center
center
center
center
center
center
contains ≥ 1 center
center
contains ≥ 1 center
center
center
center
contains ≥ 1 center
center
center
center
center
contains ≥ 1 center
center
center
center
center
center
center
center
center
center
contains ≥ 1 center
contains ≥ 1 center
center
center
center
center
center
center
center
contains ≥ 1 center
center
contains ≥ 1 center
center
contains ≥ 1 center
contains ≥ 1 center
contains ≥ 1 center
center
center
contains ≥ 1 center
center
contains ≥ 1 center
contains ≥ 1 center
contains ≥ 1 center
contains ≥ 1 center
center
center
center
contains ≥ 1 center
center
center

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

high
very high
very high
very high
high
good
good
high
high
high
very high
high
very high
good
good
high
good
high
very high
good
high
high
high
high
high
good
good
high
high
high
high
good
good
high
high
high
very high
high
very high
good
high
high
good
high
high
very high
good
high
good
high
good
good
high
good
very high
very high

34.6%
25.7%
29.7%
27.6%
27.2%
26.7%
38.2%
30.7%
21.2%
35.3%
22.5%
24.0%
28.6%
29.4%
25.9%
24.8%
27.9%
28.9%
28.2%
29.6%
22.9%
24.7%
26.2%
33.6%
26.2%
29.1%
26.8%
28.0%
26.7%
29.0%
28.5%
27.6%
22.5%
21.4%
26.4%
15.8%
26.4%
30.0%
26.2%
13.6%
23.4%
23.8%
27.5%
21.2%
22.3%
20.0%
22.9%
24.1%
17.5%
27.7%
18.6%
23.3%
25.0%
25.5%
16.0%
22.0%

14.7%
12.6%
12.2%
12.1%
12.5%
12.5%
14.1%
14.4%
9.1%
13.5%
11.3%
11.6%
13.6%
14.3%
12.7%
11.7%
12.3%
13.2%
12.5%
13.3%
11.5%
12.2%
12.4%
13.6%
12.6%
12.5%
10.8%
13.1%
13.2%
12.4%
13.8%
14.1%
11.5%
10.9%
13.2%
8.2%
12.9%
12.8%
12.7%
6.5%
11.5%
11.8%
11.5%
10.0%
10.5%
11.1%
11.9%
12.8%
8.9%
13.2%
8.6%
11.6%
11.0%
12.3%
8.8%
10.6%

16.8%
11.0%
14.7%
13.3%
12.2%
12.3%
20.6%
13.2%
10.1%
18.5%
9.3%
10.6%
12.6%
13.1%
11.6%
10.7%
13.1%
12.9%
12.9%
13.5%
10.2%
11.0%
11.4%
15.8%
11.3%
13.4%
13.5%
12.4%
10.9%
13.6%
12.4%
11.1%
9.6%
9.0%
11.0%
6.8%
10.5%
13.9%
12.0%
6.1%
10.1%
9.9%
13.0%
9.7%
10.3%
8.1%
8.7%
9.5%
7.7%
12.0%
8.4%
10.2%
11.2%
11.2%
6.7%
10.1%

3.1%
2.0%
2.8%
2.2%
2.5%
1.9%
3.4%
3.1%
1.9%
3.4%
1.9%
1.8%
2.4%
2.0%
1.6%
2.4%
2.6%
2.8%
2.9%
2.8%
1.2%
1.5%
2.4%
4.1%
2.2%
3.1%
2.5%
2.5%
2.6%
3.0%
2.4%
2.4%
1.5%
1.6%
2.2%
0.7%
3.0%
3.3%
1.5%
1.1%
1.7%
2.0%
3.1%
1.4%
1.5%
0.9%
2.3%
1.8%
0.8%
2.5%
1.6%
1.4%
2.8%
2.1%
0.5%
1.3%

excellent
excellent
excellent
excellent
excellent
excellent
good
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
good
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
good
excellent
excellent
good
good
excellent
excellent
excellent
excellent
good
good
excellent
excellent
excellent
excellent
excellent
excellent
good
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent

10,650
26,764
23,594
17,479
19,403
27,147
5,281
32,457
13,835
35,345
30,487
43,010
11,842
8,937
10,626
24,136
20,554
9,555
16,341
15,392
19,622
12,729
11,340
5,530
18,061
13,659
2,378
39,776
11,335
10,908
7,626
3,924
9,536
8,079
8,819
77,344
13,926
14,707
5,325
25,349
35,926
47,315
7,822
30,134
64,270
53,926
23,867
37,669
277,140
28,370
2,584
4,288
10,174
63,024
2,406
11,176

3,684
6,872
7,018
4,821
5,276
7,255
2,017
9,978
2,928
12,474
6,860
10,321
3,389
2,629
2,749
5,983
5,744
2,760
4,615
4,550
4,487
3,144
2,972
1,856
4,725
3,972
637
11,136
3,031
3,161
2,173
1,083
2,146
1,727
2,324
12,213
3,676
4,418
1,396
3,450
8,409
11,254
2,154
6,385
14,349
10,791
5,472
9,092
48,496
7,868
481
997
2,546
16,058
386
2,456
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Hudson
Hudson
Hudson
Hudson
Hudson
Hudson
Hudson
Hunterdon
Mercer
Mercer
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Morris
Morris
Morris
Passaic
Passaic
Passaic
Passaic
Passaic
Passaic
Passaic
Somerset
Somerset
Somerset
Union
Union
Union
Union
Union
Union
Union
Union
Union
Warren

municipality name
Harrison
Hoboken
Jersey City
North Bergen
Union City
Weehawken
West New York
Flemington
Princeton borough
Trenton
Carteret
Dunellen
Highland Park
New Brunswick
Perth Amboy
South Amboy
South River
Woodbridge Twp.
Asbury Park
Belmar
Freehold borough
Highlands
Keansburg
Keyport
Long Branch
Manasquan
Neptune City
Red Bank
Dover
Morristown
Rockaway borough
Clifton
Haledon
Hawthorne
Passaic
Paterson
Totowa
Woodland Park
Bound Brook
North Plainfield
Somerville
Cranford
Elizabeth
Hillside
Kenilworth
Plainfield
Rahway
Roselle
Roselle Park
Union
Phillipsburg

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

net activity density category
urban
urban
urban
urban
urban
urban
urban
small city / urban suburb
urban
urban
dense suburban / small town
dense suburban / small town
small city / urban suburb
urban
urban
dense suburban / small town
dense suburban / small town
dense suburban / small town
small city / urban suburb
dense suburban / small town
small city / urban suburb
small city / urban suburb
small city / urban suburb
dense suburban / small town
dense suburban / small town
dense suburban / small town
dense suburban / small town
urban
small city / urban suburb
urban
dense suburban / small town
small city / urban suburb
small city / urban suburb
dense suburban / small town
urban
urban
dense suburban / small town
dense suburban / small town
small city / urban suburb
small city / urban suburb
small city / urban suburb
dense suburban / small town
small city / urban suburb
small city / urban suburb
dense suburban / small town
small city / urban suburb
small city / urban suburb
small city / urban suburb
small city / urban suburb
small city / urban suburb
dense suburban / small town

municipalities scoring well on three of the four metrics:

Page 2 of 11

presence of a center
center
center
contains ≥ 1 center
contains ≥ 1 center
center
center
center
center
center
contains ≥ 1 center
contains ≥ 1 center
center
center
contains ≥ 1 center
contains ≥ 1 center
center
center
contains ≥ 1 center
center
center
center
center
center
center
contains ≥ 1 center
center
center
center
center
center
center
contains ≥ 1 center
center
contains ≥ 1 center
contains ≥ 1 center
contains ≥ 1 center
contains ≥ 1 center
center
center
center
center
contains ≥ 1 center
contains ≥ 1 center
center
center
contains ≥ 1 center
contains ≥ 1 center
center
center
contains ≥ 1 center
contains ≥ 1 center

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

good
very high
good
good
very high
high
very high
good
good
high
good
high
high
good
high
good
high
good
very high
very high
good
high
very high
high
high
high
high
high
good
good
good
high
good
high
very high
very high
good
good
good
high
good
high
good
high
good
high
high
high
very high
good
high

19.8%
11.8%
18.7%
24.2%
19.6%
22.4%
21.2%
20.4%
16.7%
18.1%
20.9%
20.6%
22.7%
10.0%
18.3%
24.6%
22.3%
24.5%
20.4%
28.4%
19.8%
29.0%
21.8%
27.6%
22.0%
31.2%
29.8%
22.3%
20.4%
21.5%
26.0%
26.1%
20.2%
26.8%
15.9%
18.5%
31.5%
31.5%
19.5%
18.7%
20.6%
29.7%
18.7%
24.3%
27.8%
19.0%
25.4%
23.8%
22.6%
26.1%
23.5%

10.6%
5.5%
9.6%
10.8%
9.1%
10.1%
9.2%
10.1%
6.5%
9.3%
10.1%
10.9%
11.2%
4.9%
9.1%
13.3%
10.5%
11.9%
10.0%
13.6%
8.8%
16.1%
11.0%
11.8%
10.7%
14.9%
14.4%
9.6%
9.8%
10.0%
13.7%
12.2%
9.7%
12.4%
8.2%
9.5%
13.5%
13.9%
9.4%
10.3%
9.6%
12.5%
9.5%
12.5%
12.2%
9.5%
11.9%
11.8%
11.5%
12.1%
10.3%

8.2%
5.4%
8.0%
11.4%
9.2%
10.9%
10.5%
8.4%
8.6%
7.6%
9.1%
8.4%
9.2%
4.4%
7.9%
9.7%
9.9%
10.9%
9.1%
12.9%
8.7%
12.1%
8.8%
13.3%
9.5%
14.3%
12.4%
9.9%
8.8%
9.4%
10.7%
11.3%
8.9%
11.8%
6.6%
8.0%
15.0%
15.6%
8.7%
7.3%
9.3%
13.6%
8.0%
10.6%
12.5%
8.3%
11.4%
10.5%
9.5%
11.5%
11.1%

1.1%
0.9%
1.0%
2.1%
1.3%
1.4%
1.5%
1.9%
1.6%
1.2%
1.7%
1.3%
2.4%
0.8%
1.3%
1.6%
2.0%
1.7%
1.3%
1.9%
2.3%
0.8%
2.0%
2.5%
1.8%
2.0%
3.0%
2.8%
1.7%
2.1%
1.6%
2.6%
1.6%
2.6%
1.1%
0.9%
3.1%
2.1%
1.5%
1.1%
1.6%
3.6%
1.2%
1.3%
3.1%
1.2%
2.1%
1.5%
1.7%
2.6%
2.1%

excellent
excellent
excellent
excellent
excellent
excellent
excellent
good
excellent
excellent
good
good
excellent
excellent
excellent
excellent
good
good
excellent
good
good
excellent
excellent
good
good
good
excellent
excellent
good
good
good
excellent
excellent
good
excellent
excellent
excellent
good
good
good
good
good
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent
excellent

13,620
50,005
247,597
60,773
66,455
12,554
49,708
4,581
12,307
84,913
22,844
7,227
13,982
55,181
50,814
8,631
16,008
99,585
16,116
5,794
12,052
5,005
10,105
7,240
30,719
5,897
4,869
12,206
18,157
18,411
6,438
84,136
8,318
18,791
69,781
146,199
10,804
11,819
10,402
21,936
12,098
22,625
124,969
21,404
7,914
49,808
27,346
21,085
13,297
56,642
14,950

2,702
5,912
46,213
14,736
13,036
2,806
10,524
936
2,057
15,369
4,768
1,487
3,179
5,530
9,318
2,122
3,573
24,431
3,283
1,646
2,384
1,449
2,206
1,997
6,764
1,841
1,450
2,720
3,697
3,955
1,674
21,987
1,679
5,042
11,113
26,981
3,408
3,722
2,032
4,101
2,493
6,725
23,350
5,203
2,199
9,457
6,943
5,013
3,011
14,799
3,513
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county

municipality name

Atlantic
Atlantic
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Camden
Camden
Camden
Camden
Camden
Camden
Cape May
Cape May
Cape May
Cape May
Essex
Essex
Hudson
Hudson
Hunterdon
Mercer
Mercer
Mercer
Middlesex
Middlesex
Middlesex
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Morris
Morris
Ocean
Ocean
Passaic
Passaic
Passaic
Salem
Somerset
Sussex
Union
Union

Atlantic City
Pleasantville
Bogota
Carlstadt
East Rutherford
Edgewater
Paramus
Ridgefield
Tenafly
Beverly
Burlington city
Maple Shade
Palmyra
Riverton
Willingboro
Audubon Park
Gloucester City
Haddonfield
Merchantville
Oaklyn
Woodlynne
Avalon
North Wildwood
Stone Harbor
West Cape May
South Orange
Verona
Kearny
Secaucus
Lambertville
Hightstown
Hopewell borough
Pennington
Jamesburg
Metuchen
Milltown
Atlantic Highlands
Bradley Beach
Englishtown
Farmingdale
Matawan
Lake Como
Spring Lake
Boonton town
Victory Gardens
Lakehurst
Seaside Heights
Little Falls
Pompton Lakes
Prospect Park
Woodstown
South Bound Brook
Sussex
Garwood
New Providence

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
yes
yes
yes
yes
yes
yes
yes
yes
-------yes
--yes
yes
yes
----yes
yes
yes
yes
yes
yes
-yes
yes
yes
--yes
yes
yes
yes
yes
--yes
yes
yes
yes
-yes
-yes
yes
yes
--

yes
--yes
yes
yes
-yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
---yes
yes
yes
yes
yes
-yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
--yes
yes
-yes
yes
-yes
-yes
yes
yes
-yes

-yes
yes
---yes
-yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
--yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
yes
--yes
---yes
yes
yes
yes
-yes
yes
yes
yes
yes
--yes
yes
yes
yes
--yes
yes

3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3

net activity density category

presence of a center

road 
2010 
density  bus access 
Census  population 
category
level population
55+

urban
dense suburban / small town
small city / urban suburb
dense suburban / small town
dense suburban / small town
urban
dense suburban / small town
dense suburban / small town
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
dense suburban / small town
moderate suburban
moderate suburban
dense suburban / small town
dense suburban / small town
urban
large‐lot
moderate suburban
low‐density suburban
low‐density suburban
dense suburban / small town
dense suburban / small town
small city / urban suburb
small city / urban suburb
dense suburban / small town
dense suburban / small town
moderate suburban
dense suburban / small town
small city / urban suburb
dense suburban / small town
moderate suburban
moderate suburban
dense suburban / small town
small city / urban suburb
urban
dense suburban / small town
dense suburban / small town
low‐density suburban
moderate suburban
small city / urban suburb
dense suburban / small town
dense suburban / small town
dense suburban / small town
moderate suburban
urban
moderate suburban
dense suburban / small town
dense suburban / small town
dense suburban / small town
moderate suburban

contains ≥ 1 center
no centers identified
no centers identified
contains ≥ 1 center
contains ≥ 1 center
center
no centers identified
contains single center
contains ≥ 1 center
center
contains ≥ 1 center
contains ≥ 1 center
contains single center
center
contains single center
no centers identified
center
center
no centers identified
no centers identified
no centers identified
contains single center
center
center
contains single center
center
no centers identified
contains ≥ 1 center
contains ≥ 1 center
center
center
center
center
center
center
center
center
no centers identified
center
center
no centers identified
no centers identified
center
center
no centers identified
center
center
no centers identified
center
no centers identified
center
center
center
no centers identified
contains ≥ 1 center

medium
good
very high
medium
medium
medium
good
medium
good
high
good
good
good
good
high
high
good
high
high
high
very high
good
very high
very high
good
high
good
medium
medium
good
good
good
good
high
good
high
high
very high
medium
good
good
very high
very high
good
high
good
high
good
good
high
good
high
good
high
good

Page 3 of 11

excellent
excellent
excellent
excellent
good
excellent
excellent
excellent
good
excellent
good
good
good
excellent
good
good
good
good
excellent
excellent
excellent
good
excellent
good
good
medium
good
excellent
excellent
none
none
good
low
low
medium
good
good
good
excellent
none
excellent
excellent
good
good
good
none
medium
excellent
good
excellent
good
low
none
excellent
good

39,558
20,249
8,187
6,127
8,913
11,513
26,342
11,032
14,488
2,577
9,920
19,131
7,398
2,779
31,629
1,023
11,456
11,593
3,821
4,038
2,978
1,334
4,041
866
1,024
16,198
13,332
40,684
16,264
3,906
5,494
1,922
2,585
5,915
13,574
6,893
4,385
4,298
1,847
1,329
8,810
1,759
2,993
8,347
1,520
2,654
2,887
14,432
11,097
5,865
3,505
4,563
2,130
4,226
12,171

9,474
4,099
1,964
1,676
2,267
2,488
9,259
2,912
3,587
641
2,614
4,770
2,022
902
9,108
386
2,712
3,418
981
996
426
849
2,010
531
513
3,631
4,317
8,878
4,539
1,398
1,176
499
855
1,107
3,679
1,915
1,336
1,226
386
325
2,018
380
1,338
2,124
227
440
542
3,419
2,755
1,034
934
956
527
1,150
3,116

% 55+

% 55 to 64

% 65 to 84

% 85+

23.9%
20.2%
24.0%
27.4%
25.4%
21.6%
35.1%
26.4%
24.8%
24.9%
26.4%
24.9%
27.3%
32.5%
28.8%
37.7%
23.7%
29.5%
25.7%
24.7%
14.3%
63.6%
49.7%
61.3%
50.1%
22.4%
32.4%
21.8%
27.9%
35.8%
21.4%
26.0%
33.1%
18.7%
27.1%
27.8%
30.5%
28.5%
20.9%
24.5%
22.9%
21.6%
44.7%
25.4%
14.9%
16.6%
18.8%
23.7%
24.8%
17.6%
26.6%
21.0%
24.7%
27.2%
25.6%

11.2%
9.6%
12.3%
12.0%
12.0%
10.0%
13.3%
12.1%
11.3%
13.5%
10.7%
11.7%
14.2%
14.5%
12.9%
11.7%
10.9%
14.5%
12.8%
13.3%
8.2%
23.2%
19.2%
19.7%
21.6%
11.9%
13.1%
11.1%
12.3%
18.4%
11.8%
14.9%
15.3%
10.2%
13.3%
12.9%
14.9%
14.6%
10.8%
14.1%
11.2%
11.1%
17.3%
12.3%
8.7%
9.6%
10.5%
10.7%
12.2%
9.5%
12.2%
12.0%
12.5%
12.0%
11.7%

11.2%
9.1%
10.3%
13.0%
11.7%
9.4%
17.1%
12.0%
11.3%
10.1%
12.9%
11.1%
11.1%
11.8%
14.6%
24.2%
11.1%
12.5%
10.8%
9.5%
5.4%
34.9%
27.4%
35.0%
24.4%
8.7%
15.3%
9.3%
13.4%
14.9%
7.9%
9.9%
12.9%
7.5%
11.7%
12.6%
13.7%
12.1%
6.9%
8.7%
9.8%
9.0%
24.2%
10.8%
6.0%
6.3%
7.3%
10.8%
10.8%
7.2%
12.2%
7.8%
10.3%
12.5%
11.6%

1.6%
1.6%
1.4%
2.4%
1.8%
2.2%
4.8%
2.3%
2.2%
1.3%
2.8%
2.1%
2.0%
6.1%
1.3%
1.8%
1.7%
2.4%
2.1%
1.9%
0.7%
5.5%
3.1%
6.6%
4.1%
1.9%
4.0%
1.4%
2.2%
2.5%
1.7%
1.2%
4.9%
1.0%
2.1%
2.2%
1.9%
1.9%
3.2%
1.7%
1.9%
1.5%
3.2%
2.4%
0.3%
0.6%
1.0%
2.2%
1.8%
1.0%
2.3%
1.1%
1.9%
2.7%
2.3%
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Union
Union
Union

municipality name
Summit
Westfield
Winfield

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
--yes

yes
yes
--

yes
yes
yes

yes
yes
yes

3
3
3

net activity density category
moderate suburban
moderate suburban
dense suburban / small town

presence of a center
contains ≥ 1 center
contains ≥ 1 center
no centers identified

-yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
yes
---yes
-yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
--yes
yes
yes
--

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
------yes
yes
yes
yes
yes
yes

2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2

moderate suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
dense suburban / small town
dense suburban / small town
moderate suburban
moderate suburban
dense suburban / small town
moderate suburban
low‐density suburban
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
dense suburban / small town
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
low‐density suburban
moderate suburban
low‐density suburban
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban

contains single center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
contains single center
no centers identified
contains single center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
center
contains single center
center
center
center
contains ≥ 1 center
contains single center
no centers identified
no centers identified
no centers identified
contains ≥ 1 center

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

good
high
high

good
good
excellent

21,457
30,316
1,471

4,921
7,605
444

22.9%
25.1%
30.2%

11.1%
12.0%
14.3%

9.8%
10.6%
13.5%

2.0%
2.5%
2.3%

low
good
very high
very high
good
good
high
good
high
high
medium
high
good
high
low
medium
medium
good
medium
good
good
good
good
good
good
high
very high
good
good
high
high
good
good
high
high
good
very high
high
high
high
very high
low
low
good
good
high
medium

good
excellent
excellent
excellent
good
good
good
good
good
good
good
none
good
good
excellent
good
good
excellent
good
good
good
medium
good
excellent
excellent
excellent
good
good
excellent
good
excellent
excellent
excellent
good
excellent
medium
none
medium
low
none
none
good
good
excellent
good
good
good

4,243
7,092
895
6,354
8,624
10,795
8,573
7,401
11,601
7,128
2,708
4,640
7,978
24,958
67
22,594
4,283
540
12,109
1,409
6,983
1,955
71,045
1,634
5,000
7,473
1,908
2,945
17,613
4,341
4,676
35,885
8,468
5,151
7,040
3,607
291
11,701
2,114
603
3,270
2,472
28,400
12,411
2,113
7,527
29,366

964
2,311
516
3,162
2,410
3,051
2,566
2,359
2,994
2,038
815
1,198
2,431
6,213
14
5,116
1,287
111
3,316
439
2,011
446
22,115
543
1,166
2,263
478
902
3,575
1,048
1,249
8,887
2,250
1,444
1,779
1,465
241
5,568
1,181
278
1,370
668
7,139
4,726
623
1,597
8,818

22.7%
32.6%
57.7%
49.8%
27.9%
28.3%
29.9%
31.9%
25.8%
28.6%
30.1%
25.8%
30.5%
24.9%
20.9%
22.6%
30.0%
20.6%
27.4%
31.2%
28.8%
22.8%
31.1%
33.2%
23.3%
30.3%
25.1%
30.6%
20.3%
24.1%
26.7%
24.8%
26.6%
28.0%
25.3%
40.6%
82.8%
47.6%
55.9%
46.1%
41.9%
27.0%
25.1%
38.1%
29.5%
21.2%
30.0%

10.9%
14.5%
20.0%
18.1%
11.9%
13.7%
12.6%
12.0%
12.9%
12.6%
13.9%
11.2%
13.9%
12.4%
7.5%
10.6%
14.0%
10.0%
14.7%
17.9%
13.0%
11.6%
13.4%
13.5%
12.3%
14.3%
13.0%
13.3%
10.9%
12.0%
12.7%
11.9%
11.9%
12.7%
11.0%
13.0%
27.1%
17.9%
23.6%
18.4%
15.5%
13.8%
11.9%
14.3%
13.3%
11.7%
13.2%

10.0%
14.2%
31.7%
26.8%
13.2%
12.7%
13.5%
15.0%
10.8%
12.8%
14.1%
12.8%
13.9%
10.4%
11.9%
9.3%
14.7%
9.6%
11.1%
12.0%
13.5%
9.5%
14.6%
16.1%
9.8%
12.8%
10.2%
15.5%
8.4%
10.6%
11.4%
10.9%
12.4%
13.3%
12.0%
23.6%
47.8%
24.7%
28.4%
24.5%
22.6%
11.9%
11.4%
17.7%
13.9%
8.2%
13.9%

1.8%
3.9%
5.9%
4.9%
2.9%
1.9%
3.8%
4.9%
2.1%
3.2%
2.0%
1.9%
2.7%
2.1%
1.5%
2.7%
1.4%
0.9%
1.6%
1.3%
2.3%
1.7%
3.1%
3.6%
1.3%
3.1%
1.9%
1.8%
1.0%
1.6%
2.5%
2.0%
2.3%
2.1%
2.3%
4.0%
7.9%
4.9%
3.9%
3.2%
3.8%
1.3%
1.8%
6.1%
2.3%
1.3%
2.9%

municipalities scoring well on two of the four metrics:
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Burlington
Burlington
Burlington
Burlington
Burlington
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Cape May
Cape May
Cape May
Cape May
Cape May
Cape May
Cape May
Cumberland
Essex
Essex
Essex
Essex

Egg Harbor City
Linwood
Longport
Margate City
Northfield
Somers Point
Cresskill
Emerson
Glen Rock
Midland Park
Moonachie
Northvale
Oradell
Ridgewood
Teterboro
Burlington Twp.
Delanco
Fieldsboro
Florence Twp.
Pemberton borough
Barrington
Brooklawn
Cherry Hill Twp.
Chesilhurst
Clementon
Haddon Heights
Laurel Springs
Lawnside
Lindenwold
Magnolia
Mount Ephraim
Pennsauken
Runnemede
Somerdale
Stratford
Cape May
Cape May Point
Ocean City
Sea Isle City
West Wildwood
Wildwood Crest
Woodbine
Millville
Cedar Grove
Essex Fells
Glen Ridge
Livingston

----------yes
yes
--yes
------yes
--------------------------

yes
--------------yes
yes
-yes
----------------yes
yes
yes
yes
yes
yes
yes
yes
---yes

Page 4 of 11
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Essex
Gloucester
Gloucester
Gloucester
Gloucester
Mercer
Middlesex
Middlesex
Middlesex
Middlesex
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Morris
Morris
Morris
Morris
Morris
Morris
Ocean
Ocean
Ocean
Ocean
Passaic
Salem
Salem
Somerset
Somerset
Sussex
Union
Union
Union
Warren
Warren

municipality name
West Orange
National Park
Pitman
Wenonah
Woodbury Heights
Lawrence Twp.
Edison Twp.
Middlesex
South Plainfield
Spotswood
Allenhurst
Avon‐by‐the‐Sea
Deal
Fair Haven
Loch Arbour
Neptune Twp.
Sea Girt
Shrewsbury Twp.
Spring Lake Heights
Union Beach
West Long Branch
Butler
Chatham borough
Lincoln Park
Netcong
Parsippany‐Troy Hills
Wharton
Beachwood
Brick Twp.
Point Pleasant Beach
Tuckerton
Wanaque
Penns Grove
Salem
Manville
Raritan
Newton
Fanwood
Linden
Scotch Plains
Hackettstown
Washington borough

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
------yes
----------yes
------yes
yes
---------yes
yes
---yes
--

yes
----yes
---------yes
-------yes
yes
-yes
yes
yes
-yes
yes
-yes
yes
yes
yes
-yes
yes
yes
yes

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 65 to 84

% 85+

2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2

presence of a center
contains ≥ 1 center
no centers identified
no centers identified
no centers identified
no centers identified
contains ≥ 1 center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
center
no centers identified
contains single center
center
contains single center
no centers identified
contains single center
contains single center
no centers identified
center
center
center
contains ≥ 1 center
no centers identified
contains ≥ 1 center
contains ≥ 1 center
contains single center
center

% 55 to 64

yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
-yes
-yes
yes
yes
yes
yes
yes
-yes
yes
--yes
yes
yes
yes
yes
---yes
yes
yes
---

net activity density category
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
dense suburban / small town
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
large‐lot
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
urban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
dense suburban / small town
dense suburban / small town
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
dense suburban / small town
dense suburban / small town
moderate suburban
moderate suburban
moderate suburban
dense suburban / small town
moderate suburban

% 55+

-yes
yes
yes
yes
--yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
----yes
yes
yes
--yes
-yes
--yes
---yes

medium
high
high
good
good
low
medium
good
good
good
high
very high
good
high
very high
good
high
high
good
good
good
good
good
medium
medium
medium
medium
high
good
high
medium
low
very high
medium
high
medium
medium
high
medium
medium
medium
good

excellent
excellent
good
good
good
good
good
good
good
good
good
excellent
good
good
excellent
none
good
none
good
excellent
good
good
good
good
none
good
good
low
low
good
good
good
excellent
excellent
low
low
none
excellent
good
good
low
low

46,207
3,036
9,011
2,278
3,055
33,472
99,967
13,635
23,385
8,257
496
1,901
750
6,121
194
27,935
1,828
1,141
4,713
6,245
8,097
7,539
8,962
10,521
3,232
53,238
6,522
11,045
75,072
4,665
3,347
11,116
5,147
5,146
10,344
6,881
7,997
7,318
40,499
23,510
9,724
6,461

13,169
722
2,624
662
813
8,757
24,730
3,520
6,139
2,595
178
780
330
1,295
67
8,476
866
353
1,945
1,376
1,992
1,927
1,779
3,254
830
14,355
1,509
2,276
23,350
1,525
1,017
3,612
954
1,307
2,678
1,664
2,365
1,861
10,378
6,173
2,444
1,427

28.5%
23.8%
29.1%
29.1%
26.6%
26.2%
24.7%
25.8%
26.3%
31.4%
35.9%
41.0%
44.0%
21.2%
34.5%
30.3%
47.4%
30.9%
41.3%
22.0%
24.6%
25.6%
19.9%
30.9%
25.7%
27.0%
23.1%
20.6%
31.1%
32.7%
30.4%
32.5%
18.5%
25.4%
25.9%
24.2%
29.6%
25.4%
25.6%
26.3%
25.1%
22.1%

12.6%
12.3%
12.2%
16.4%
13.0%
12.4%
12.1%
12.0%
12.7%
12.5%
16.1%
17.1%
15.3%
11.6%
19.1%
13.9%
17.5%
13.0%
15.4%
12.8%
11.0%
12.4%
9.7%
15.0%
12.1%
13.3%
11.4%
11.6%
13.2%
15.2%
12.8%
14.3%
9.0%
12.9%
11.7%
10.6%
11.1%
11.5%
12.2%
12.1%
11.0%
11.5%

12.1%
10.4%
11.9%
10.9%
12.2%
11.4%
10.6%
11.6%
11.3%
16.0%
16.3%
20.8%
23.9%
8.2%
13.9%
13.9%
26.0%
11.5%
21.3%
8.5%
11.3%
11.5%
8.6%
13.8%
11.9%
12.2%
9.9%
8.0%
14.8%
15.0%
15.1%
16.1%
8.3%
10.2%
12.0%
11.6%
12.9%
10.7%
11.0%
11.9%
11.2%
9.1%

3.8%
1.1%
5.0%
1.8%
1.3%
2.4%
2.0%
2.2%
2.3%
3.0%
3.4%
3.2%
4.8%
1.3%
1.5%
2.6%
3.8%
6.5%
4.5%
0.8%
2.3%
1.7%
1.5%
2.1%
1.8%
1.5%
1.8%
1.0%
3.1%
2.6%
2.5%
2.0%
1.3%
2.2%
2.2%
1.9%
5.7%
3.2%
2.4%
2.3%
2.9%
1.4%

---------

yes
yes
--yes
----

1
1
1
1
1
1
1
1

moderate suburban
moderate suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
large‐lot
low‐density suburban

no centers identified
no centers identified
contains single center
contains multiple centers
no centers identified
contains single center
contains single center
contains multiple centers

medium
medium
low
low
very low
very low
low
low

good
excellent
none
low
good
low
medium
medium

8,411
9,450
4,603
7,570
492
1,735
1,885
37,349

2,680
3,588
1,168
2,278
138
461
532
9,515

31.9%
38.0%
25.4%
30.1%
28.0%
26.6%
28.2%
25.5%

14.8%
16.2%
11.2%
13.7%
15.9%
15.5%
17.1%
11.8%

14.6%
19.4%
11.5%
14.4%
10.6%
9.8%
10.0%
11.8%

2.5%
2.4%
2.7%
2.0%
1.6%
1.3%
1.2%
1.9%

municipalities scoring well on one of the four metrics:
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic

Absecon
Brigantine
Buena
Buena Vista Twp.
Corbin City
Estell Manor
Folsom
Galloway Twp.

---------

--yes
yes
-yes
yes
yes

Page 5 of 11
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Atlantic
Atlantic
Atlantic
Atlantic
Atlantic
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Camden
Cape May
Cape May
Cape May
Cumberland
Cumberland
Cumberland
Cumberland
Essex
Essex
Essex
Essex
Gloucester
Gloucester

municipality name
Hamilton Twp.
Hammonton
Mullica Twp.
Port Republic
Weymouth Twp.
Allendale
Closter
Demarest
Harrington Park
Haworth
Hillsdale
Ho‐Ho‐Kus
Montvale
Park Ridge
Ramsey
River Vale
Upper Saddle River
Waldwick
Washington Twp.
Woodcliff Lake
Wyckoff
Bass River Twp.
Chesterfield Twp.
Cinnaminson
Delran
Edgewater Park
Hainesport Twp.
Medford Lakes
Moorestown Twp.
Pemberton Twp.
Shamong Twp.
Southampton Twp.
Tabernacle Twp.
Washington Twp.
Woodland Twp.
Bellmawr
Berlin
Gloucester Twp.
Hi‐Nella
Pine Hill
Voorhees Twp.
Waterford Twp.
Winslow Twp.
Dennis Twp.
Middle Twp.
Upper Twp.
Commercial Twp.
Lawrence Twp.
Maurice River Twp.
Vineland
Millburn
North Caldwell
Roseland
West Caldwell
Deptford Twp.
Greenwich Twp.

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
----------------------------------------------------yes
----

yes
yes
yes
yes
yes
----------------yes
yes
yes
yes
yes
---yes
yes
yes
yes
yes
yes
------yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
------

-----yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
------yes
-------yes
--yes
------------yes
-----

--------------------------yes
-yes
-------yes
yes
-yes
yes
------------yes
yes
yes

1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

net activity density category
low‐density suburban
low‐density suburban
large‐lot
large‐lot
large‐lot
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
low‐density suburban
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
moderate suburban
low‐density suburban
dense suburban / small town
moderate suburban
moderate suburban
large‐lot

Page 6 of 11

presence of a center
contains single center
contains single center
contains multiple centers
contains single center
contains multiple centers
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
contains multiple centers
contains single center
contains single center
contains multiple centers
no centers identified
no centers identified
no centers identified
contains single center
contains single center
contains single center
contains single center
contains multiple centers
contains single center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
contains multiple centers
contains multiple centers
contains multiple centers
contains multiple centers
contains multiple centers
contains single center
contains multiple centers
contains single center
contains ≥ 1 center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

very low
low
very low
very low
low
good
good
good
good
good
high
good
good
good
good
good
good
high
good
good
good
very low
low
medium
medium
medium
medium
very high
medium
low
very low
low
very low
very low
very low
good
medium
medium
good
medium
medium
low
low
very low
low
very low
low
very low
very low
low
medium
good
medium
medium
medium
low

21.6%
27.2%
26.4%
32.0%
41.9%
27.9%
26.7%
27.6%
29.2%
29.5%
27.4%
29.0%
27.2%
32.9%
25.9%
30.0%
25.8%
26.0%
33.7%
29.8%
30.0%
25.6%
12.1%
30.9%
23.5%
27.9%
26.8%
28.7%
28.9%
23.2%
24.5%
48.3%
27.3%
27.7%
26.3%
29.4%
28.3%
23.4%
20.1%
20.7%
30.3%
24.6%
22.3%
29.6%
33.1%
29.6%
23.4%
22.6%
14.9%
25.7%
23.0%
30.3%
37.4%
32.4%
27.0%
31.7%

11.1%
11.2%
13.1%
19.4%
14.8%
13.3%
13.2%
13.2%
14.3%
14.3%
12.6%
13.0%
12.7%
13.7%
13.2%
14.1%
12.6%
11.5%
13.8%
13.4%
13.4%
12.6%
6.7%
12.7%
11.6%
12.1%
12.5%
13.9%
12.7%
11.6%
14.7%
16.3%
16.2%
12.7%
15.8%
12.4%
11.4%
12.4%
10.8%
12.0%
13.7%
14.7%
11.7%
14.6%
14.1%
15.3%
11.7%
11.6%
7.9%
11.8%
11.7%
16.3%
15.3%
12.9%
12.0%
13.7%

9.5%
12.9%
12.1%
10.9%
24.9%
10.7%
11.8%
12.7%
13.0%
13.2%
12.5%
13.8%
13.4%
15.5%
11.0%
13.5%
11.7%
12.3%
17.5%
12.8%
13.4%
11.7%
4.7%
15.6%
10.7%
14.1%
12.7%
13.4%
12.3%
10.4%
8.9%
27.1%
10.4%
13.0%
9.4%
14.9%
13.7%
9.6%
8.3%
7.6%
12.7%
8.8%
9.0%
12.6%
16.4%
12.3%
10.5%
9.8%
6.4%
11.6%
9.6%
12.2%
19.3%
14.4%
12.9%
15.3%

1.0%
3.1%
1.2%
1.7%
2.3%
3.8%
1.7%
1.7%
2.0%
2.0%
2.3%
2.1%
1.1%
3.7%
1.7%
2.3%
1.4%
2.2%
2.4%
3.5%
3.2%
1.2%
0.7%
2.7%
1.2%
1.7%
1.6%
1.4%
3.9%
1.2%
0.9%
4.9%
0.8%
2.0%
1.1%
2.1%
3.1%
1.4%
1.0%
1.1%
3.8%
1.1%
1.6%
2.3%
2.6%
1.9%
1.2%
1.2%
0.6%
2.3%
1.7%
1.9%
2.7%
5.1%
2.1%
2.7%

medium
medium
medium
low
low
none
medium
none
low
medium
none
none
none
none
none
none
none
none
none
none
low
medium
none
medium
medium
medium
good
none
good
low
none
low
none
none
none
medium
good
good
none
good
good
medium
medium
low
medium
low
none
none
low
medium
medium
low
medium
good
good
good

26,503
14,791
6,147
1,115
2,715
6,505
8,373
4,881
4,664
3,382
10,219
4,078
7,844
8,645
14,473
9,659
8,208
9,625
9,102
5,730
16,696
1,443
7,699
15,569
16,896
8,881
6,110
4,146
20,726
27,912
6,490
10,464
6,949
687
1,788
11,583
7,588
64,634
870
10,233
29,131
10,649
39,499
6,467
18,911
12,373
5,178
3,290
7,976
60,724
20,149
6,183
5,819
10,759
30,561
4,899

5,723
4,029
1,622
357
1,138
1,812
2,239
1,346
1,363
998
2,803
1,181
2,133
2,847
3,750
2,895
2,115
2,504
3,068
1,709
5,012
369
932
4,813
3,977
2,482
1,640
1,188
5,982
6,488
1,588
5,056
1,900
190
470
3,409
2,146
15,132
175
2,115
8,814
2,616
8,804
1,915
6,256
3,664
1,212
742
1,191
15,626
4,633
1,875
2,174
3,487
8,265
1,554
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Gloucester
Gloucester
Gloucester
Gloucester
Gloucester
Gloucester
Hunterdon
Mercer
Mercer
Mercer
Mercer
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Middlesex
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean

municipality name
Harrison Twp.
Newfield
Paulsboro
Washington Twp.
West Deptford Twp.
Woolwich Twp.
Milford
Ewing Twp.
Hamilton Twp.
Princeton Twp.
Robbinsville Twp.
Cranbury Twp.
East Brunswick Twp.
Helmetta
Old Bridge Twp.
Piscataway Twp.
Plainsboro Twp.
South Brunswick Twp.
Aberdeen
Allentown
Brielle
Hazlet
Interlaken
Little Silver
Monmouth Beach
Ocean Twp.
Sea Bright
Shrewsbury borough
East Hanover Twp.
Hanover Twp.
Madison
Mendham borough
Morris Plains
Mount Arlington
Mountain Lakes
Riverdale
Washington Twp.
Barnegat Light
Barnegat Twp.
Bay Head
Beach Haven
Berkeley Twp.
Toms River
Eagleswood Twp.
Harvey Cedars
Island Heights
Jackson Twp.
Lacey Twp.
Lakewood
Lavallette
Little Egg Harbor Twp.
Long Beach Twp.
Manchester Twp.
Ocean Gate
Ocean Twp.
Pine Beach

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
------------------------------------------------yes
--------

yes
----yes
yes
--yes
yes
yes
yes
----yes
-yes
--------yes
--yes
-yes
--yes
-yes
--yes
yes
yes
--yes
yes
--yes
-yes
-yes
--

--yes
----------yes
-yes
--yes
-yes
yes
yes
yes
yes
yes
----yes
---yes
--yes
-yes
yes
---yes
yes
---yes
-yes
-yes
-yes

-yes
-yes
yes
--yes
yes
-----yes
-yes
---------yes
yes
-yes
--yes
--yes
---------------------

1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

net activity density category
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
low‐density suburban
large‐lot
low‐density suburban
moderate suburban
moderate suburban
low‐density suburban
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
large‐lot
large‐lot
moderate suburban
low‐density suburban
low‐density suburban
low‐density suburban
moderate suburban
large‐lot
large‐lot
moderate suburban
low‐density suburban
low‐density suburban
dense suburban / small town
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
moderate suburban
low‐density suburban
low‐density suburban

Page 7 of 11

presence of a center
contains ≥ 1 center
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
center
no centers identified
no centers identified
contains single center
contains single center
contains single center
contains single center
no centers identified
no centers identified
no centers identified
no centers identified
contains single center
no centers identified
center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
contains ≥ 1 center
no centers identified
no centers identified
contains single center
no centers identified
contains single center
no centers identified
no centers identified
contains single center
no centers identified
contains multiple centers
no centers identified
no centers identified
contains single center
contains ≥ 1 center
contains single center
no centers identified
no centers identified
contains multiple centers
contains single center
no centers identified
no centers identified
contains multiple centers
no centers identified
contains multiple centers
no centers identified
contains multiple centers
no centers identified

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

low
medium
good
medium
medium
low
medium
medium
medium
medium
low
low
medium
good
low
good
medium
low
good
medium
good
good
high
good
good
good
medium
medium
medium
medium
good
low
medium
medium
good
medium
low
good
low
high
very high
medium
medium
very low
very high
high
low
low
medium
high
low
good
very low
very high
low
very high

18.1%
28.2%
21.0%
26.3%
27.5%
14.7%
29.4%
26.7%
29.3%
30.4%
19.5%
30.9%
27.1%
22.0%
24.9%
20.4%
16.8%
20.3%
22.7%
25.2%
31.9%
27.9%
47.9%
30.3%
38.5%
30.2%
33.0%
30.8%
34.1%
31.2%
24.0%
32.0%
29.2%
35.1%
21.9%
28.1%
25.4%
58.9%
38.1%
53.3%
43.2%
57.9%
30.8%
28.1%
59.1%
37.5%
26.7%
27.9%
17.7%
58.2%
35.9%
61.2%
65.0%
25.8%
41.9%
32.1%

9.7%
14.1%
9.5%
13.8%
13.2%
8.4%
13.4%
11.9%
13.6%
13.4%
9.9%
14.2%
13.5%
12.4%
12.7%
10.7%
9.3%
11.0%
12.1%
13.8%
15.0%
13.4%
21.3%
14.5%
17.0%
14.9%
18.5%
13.2%
14.9%
13.0%
9.7%
13.0%
12.6%
14.7%
11.8%
13.0%
14.0%
17.6%
14.0%
18.9%
18.2%
14.5%
13.5%
14.6%
17.2%
19.8%
11.9%
13.1%
5.5%
17.8%
14.3%
21.2%
14.9%
12.2%
17.4%
15.5%

7.6%
12.2%
9.8%
10.8%
12.9%
5.8%
14.0%
12.0%
13.2%
14.3%
8.0%
13.4%
11.6%
9.0%
10.7%
8.7%
6.3%
8.3%
9.4%
10.2%
14.8%
12.8%
21.7%
13.7%
19.0%
13.5%
13.9%
12.9%
17.0%
14.4%
11.3%
15.7%
13.4%
17.6%
9.1%
12.7%
9.2%
38.2%
22.0%
30.0%
21.4%
34.5%
14.8%
12.4%
39.2%
15.5%
12.9%
12.8%
9.9%
34.3%
19.2%
36.2%
40.3%
11.6%
22.5%
14.3%

0.8%
1.9%
1.7%
1.7%
1.5%
0.5%
1.9%
2.7%
2.6%
2.7%
1.7%
3.3%
1.9%
0.7%
1.4%
1.0%
1.2%
1.0%
1.2%
1.2%
2.1%
1.8%
4.9%
2.1%
2.5%
1.8%
0.6%
4.8%
2.2%
3.7%
2.9%
3.3%
3.2%
2.8%
0.9%
2.4%
2.1%
3.1%
2.1%
4.4%
3.7%
8.9%
2.5%
1.1%
2.7%
2.2%
1.9%
2.0%
2.3%
6.0%
2.4%
3.9%
9.8%
1.9%
2.0%
2.3%

low
good
medium
good
good
low
none
good
good
none
low
low
medium
none
good
low
good
low
medium
none
medium
low
none
none
none
medium
good
good
medium
good
medium
none
good
none
none
excellent
none
none
low
none
none
low
low
medium
none
medium
low
low
medium
low
medium
none
none
none
medium
low

12,417
1,553
6,097
48,559
21,677
10,200
1,233
35,790
88,464
16,265
13,642
3,857
47,512
2,178
65,375
56,044
22,999
43,417
18,210
1,828
4,774
20,334
820
5,950
3,279
27,291
1,412
3,809
11,157
13,712
15,845
4,981
5,532
5,050
4,160
3,559
18,533
574
20,936
968
1,170
41,255
91,239
1,603
337
1,673
54,856
27,644
92,843
1,875
20,065
3,051
43,070
2,011
8,332
2,127

2,243
438
1,278
12,760
5,971
1,504
362
9,550
25,955
4,948
2,666
1,190
12,853
480
16,264
11,458
3,870
8,826
4,135
460
1,522
5,683
393
1,801
1,261
8,236
466
1,174
3,810
4,272
3,799
1,595
1,615
1,771
910
999
4,699
338
7,980
516
506
23,870
28,088
451
199
627
14,669
7,715
16,411
1,091
7,197
1,868
28,012
518
3,487
683
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Ocean
Passaic
Passaic
Passaic
Salem
Salem
Somerset
Somerset
Somerset
Somerset
Somerset
Somerset
Somerset
Somerset
Somerset
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Union
Union
Warren
Warren
Warren
Warren
Warren
Warren

municipality name
Plumsted Twp.
Point Pleasant
Seaside Park
Ship Bottom
South Toms River
Stafford Twp.
Surf City
Bloomingdale
North Haledon
Wayne
Carneys Point Twp.
Elmer
Bedminster Twp.
Bernardsville
Bridgewater Twp.
Far Hills
Franklin Twp.
Millstone
Rocky Hill
Warren
Watchung
Andover borough
Branchville
Frankford Twp.
Hopatcong
Montague Twp.
Sandyston Twp.
Sparta Twp.
Stanhope
Vernon Twp.
Clark
Springfield
Alpha
Belvidere
Hope Twp.
Oxford Twp.
Pohatcong Twp.
Washington Twp.

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
---------------------------------------

yes
----yes
-yes
---yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
----yes
yes
yes
yes

-yes
yes
yes
yes
-yes
-yes
---------------------yes
-yes
yes
-----

---------yes
yes
--------------------yes
-------

1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

net activity density category
large‐lot
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
moderate suburban
large‐lot
low‐density suburban
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
large‐lot
moderate suburban
large‐lot
large‐lot
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
large‐lot
low‐density suburban
large‐lot
large‐lot

presence of a center
contains single center
no centers identified
no centers identified
no centers identified
no centers identified
contains multiple centers
no centers identified
contains single center
no centers identified
no centers identified
no centers identified
contains single center
contains multiple centers
contains single center
contains single center
contains single center
contains single center
center
contains single center
contains single center
contains single center
contains single center
center
contains single center
contains single center
contains single center
contains multiple centers
contains single center
contains single center
contains single center
no centers identified
no centers identified
no centers identified
no centers identified
contains multiple centers
contains single center
contains single center
contains single center

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

very low
very high
very high
very high
good
low
very high
low
good
medium
low
medium
very low
low
medium
very low
medium
low
medium
medium
medium
low
medium
low
medium
very low
very low
low
medium
very low
good
medium
good
good
very low
low
low
low

low
medium
medium
none
none
low
none
medium
none
good
good
none
low
none
low
none
low
none
none
none
low
none
none
none
none
none
none
none
none
low
medium
excellent
none
none
none
none
low
low

8,421
18,392
1,579
1,156
3,684
26,535
1,205
7,656
8,417
54,717
8,049
1,395
8,165
7,707
44,464
919
62,300
418
682
15,311
5,801
606
841
5,565
15,147
3,847
1,998
19,722
3,610
23,943
14,756
15,817
2,369
2,681
1,952
2,514
3,339
6,651

1,910
5,185
710
561
723
8,643
703
2,075
2,876
16,272
2,649
360
2,367
1,894
11,823
292
15,979
121
234
4,170
2,091
162
249
1,845
3,583
1,122
558
4,693
847
5,290
4,599
4,911
649
647
601
601
954
1,713

22.7%
28.2%
45.0%
48.5%
19.6%
32.6%
58.3%
27.1%
34.2%
29.7%
32.9%
25.8%
29.0%
24.6%
26.6%
31.8%
25.6%
28.9%
34.3%
27.2%
36.0%
26.7%
29.6%
33.2%
23.7%
29.2%
27.9%
23.8%
23.5%
22.1%
31.2%
31.0%
27.4%
24.1%
30.8%
23.9%
28.6%
25.8%

11.3%
13.8%
18.2%
19.7%
10.8%
12.9%
19.8%
12.3%
13.9%
12.7%
14.2%
11.8%
14.9%
12.4%
11.9%
15.5%
12.0%
12.9%
15.8%
13.8%
14.9%
14.7%
12.8%
16.6%
13.8%
15.2%
16.2%
12.7%
13.1%
13.7%
12.6%
13.5%
11.8%
11.7%
16.1%
11.5%
13.6%
12.8%

10.2%
12.1%
22.2%
24.7%
8.0%
17.1%
32.3%
12.8%
16.4%
14.0%
14.1%
12.3%
12.6%
10.7%
11.9%
14.8%
11.7%
14.4%
16.0%
11.8%
17.0%
11.4%
13.7%
13.7%
9.0%
12.6%
10.4%
9.8%
9.4%
7.7%
14.8%
14.2%
12.8%
10.3%
13.1%
10.8%
12.9%
11.8%

1.2%
2.3%
4.5%
4.2%
0.8%
2.5%
6.3%
2.1%
3.9%
3.0%
4.7%
1.7%
1.5%
1.6%
2.8%
1.5%
1.9%
1.7%
2.5%
1.6%
4.1%
0.7%
3.1%
2.8%
0.8%
1.4%
1.4%
1.3%
0.9%
0.8%
3.7%
3.3%
2.8%
2.1%
1.6%
1.6%
2.0%
1.2%

no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified

low
medium
medium
low
medium
medium
medium
medium
medium
very low
low
medium

none
none
low
none
medium
medium
medium
none
medium
medium
medium
medium

25,890
5,711
12,754
531
45,538
41,864
5,357
2,274
22,866
6,295
7,660
7,466

6,899
1,907
3,428
332
11,540
11,888
1,402
629
8,357
1,590
2,332
2,505

26.6%
33.4%
26.9%
62.5%
25.3%
28.4%
26.2%
27.7%
36.5%
25.3%
30.4%
33.6%

12.4%
13.4%
12.7%
5.5%
12.3%
12.3%
12.1%
12.8%
15.4%
12.1%
14.1%
13.1%

12.7%
16.1%
11.8%
26.2%
11.1%
14.0%
12.4%
13.6%
18.6%
12.0%
14.5%
17.4%

1.5%
4.0%
2.3%
30.9%
2.0%
2.1%
1.7%
1.2%
2.5%
1.2%
1.9%
3.1%

municipalities not scoring well on any of the four metrics, but scoring in the middle of the pack on at least one:
Bergen
Bergen
Bergen
Bergen
Burlington
Burlington
Camden
Camden
Cape May
Cumberland
Cumberland
Essex

Mahwah
Norwood
Oakland
Rockleigh
Evesham Twp.
Mount Laurel Twp.
Berlin Twp.
Gibbsboro
Lower Twp.
Fairfield Twp.
Upper Deerfield Twp.
Fairfield

-------------

-------------

-------------

-------------

0
0
0
0
0
0
0
0
0
0
0
0

moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
low‐density suburban
large‐lot
moderate suburban

Page 8 of 11
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Gloucester
Gloucester
Gloucester
Gloucester
Gloucester
Gloucester
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Mercer
Middlesex
Middlesex
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Morris
Morris
Morris
Morris
Passaic
Salem
Salem
Salem
Somerset
Sussex
Sussex
Union
Union

municipality name
Clayton
East Greenwich Twp.
Glassboro
Logan Twp.
Mantua Twp.
Monroe Twp.
Califon
Clinton town
Frenchtown
Glen Gardner
Lebanon borough
Stockton
East Windsor Twp.
North Brunswick Twp.
Sayreville
Eatontown
Freehold Twp.
Manalapan Twp.
Oceanport
Rumson
Denville
Florham Park
Montville Twp.
Pequannock
West Milford Twp.
Mannington Twp.
Pennsville Twp.
Upper Pittsgrove Twp.
Green Brook
Franklin
Hamburg
Berkeley Heights
Mountainside

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
----------------------------------

----------------------------------

----------------------------------

----------------------------------

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

net activity density category
low‐density suburban
low‐density suburban
moderate suburban
low‐density suburban
low‐density suburban
low‐density suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban
low‐density suburban
low‐density suburban
moderate suburban
low‐density suburban
moderate suburban
moderate suburban
low‐density suburban
moderate suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
moderate suburban
moderate suburban
moderate suburban
moderate suburban
moderate suburban

presence of a center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified

------------------

------------------

------------------

0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
low‐density suburban
large‐lot
low‐density suburban
large‐lot
large‐lot
large‐lot

no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

medium
low
medium
low
medium
low
medium
medium
medium
medium
medium
low
low
medium
medium
medium
low
medium
medium
medium
medium
medium
medium
medium
low
very low
low
low
medium
medium
medium
medium
medium

medium
medium
medium
medium
medium
medium
none
none
none
none
none
none
none
medium
medium
medium
medium
medium
low
medium
low
medium
medium
medium
medium
medium
medium
medium
medium
none
none
low
medium

8,179
9,555
18,579
6,042
15,217
36,129
1,076
2,719
1,373
1,704
1,358
538
27,190
40,742
42,704
12,709
36,184
38,872
5,832
7,122
16,635
11,696
21,528
15,540
25,850
1,806
13,409
3,505
7,203
5,045
3,277
13,183
6,685

1,877
2,101
3,755
1,167
3,751
9,057
269
627
352
357
344
189
6,404
8,269
10,334
3,368
9,082
10,251
1,808
1,657
4,967
3,304
5,990
5,561
6,748
534
3,928
1,071
1,847
1,318
777
3,914
2,484

22.9%
22.0%
20.2%
19.3%
24.7%
25.1%
25.0%
23.1%
25.6%
21.0%
25.3%
35.1%
23.6%
20.3%
24.2%
26.5%
25.1%
26.4%
31.0%
23.3%
29.9%
28.2%
27.8%
35.8%
26.1%
29.6%
29.3%
30.6%
25.6%
26.1%
23.7%
29.7%
37.2%

12.7%
11.4%
9.5%
12.6%
11.9%
11.5%
15.4%
11.5%
14.3%
12.1%
12.2%
17.1%
12.0%
11.0%
12.1%
12.5%
12.1%
13.9%
14.9%
11.9%
14.1%
11.4%
13.3%
10.9%
13.5%
12.1%
13.7%
14.9%
12.2%
13.1%
12.0%
12.2%
13.4%

9.0%
9.1%
9.2%
6.1%
11.5%
11.9%
8.6%
10.3%
9.8%
7.6%
11.6%
16.4%
9.9%
8.2%
10.4%
11.9%
11.0%
10.4%
13.9%
9.9%
12.4%
13.9%
12.8%
17.3%
10.8%
13.7%
13.5%
13.5%
10.9%
11.3%
10.8%
13.7%
18.3%

1.3%
1.4%
1.5%
0.7%
1.3%
1.6%
1.0%
1.2%
1.5%
1.2%
1.6%
1.7%
1.7%
1.1%
1.7%
2.0%
2.0%
2.0%
2.2%
1.4%
3.3%
2.9%
1.8%
7.5%
1.8%
3.7%
2.1%
2.2%
2.5%
1.8%
0.9%
3.8%
5.4%

low
low
medium
medium
medium
low
low
low
low
low
very low
low
very low
low
very low
very low
very low

low
none
low
none
none
low
none
low
low
none
low
low
none
low
low
none
none

43,323
1,849
10,590
5,750
3,152
11,367
6,069
12,559
8,544
23,033
7,385
7,678
3,414
8,813
802
12
5

10,103
710
3,277
1,679
1,308
2,521
1,257
2,608
3,508
6,616
1,075
1,315
950
2,056
138
3
3

23.3%
38.4%
30.9%
29.2%
41.5%
22.2%
20.7%
20.8%
41.1%
28.7%
14.6%
17.1%
27.8%
23.3%
17.2%
25.0%
60.0%

12.5%
19.3%
14.5%
13.1%
17.0%
11.6%
12.0%
10.3%
13.2%
14.8%
10.8%
8.7%
14.6%
13.0%
9.4%
25.0%
0.0%

9.8%
17.1%
14.9%
13.8%
19.7%
9.3%
7.8%
8.8%
24.4%
11.6%
3.7%
7.7%
12.0%
9.2%
7.2%
0.0%
60.0%

1.0%
1.9%
1.6%
2.3%
4.7%
1.3%
0.9%
1.7%
3.5%
2.3%
0.1%
0.7%
1.3%
1.1%
0.6%
0.0%
0.0%

municipalities scoring poorly on all four metrics:
Atlantic
Bergen
Bergen
Bergen
Bergen
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Burlington
Camden
Camden

Egg Harbor Twp.
Alpine
Franklin Lakes
Old Tappan
Saddle River
Bordentown Twp.
Eastampton Twp.
Lumberton Twp.
Mansfield Twp.
Medford Twp.
New Hanover Twp.
North Hanover Twp.
Springfield Twp.
Westampton Twp.
Wrightstown
Pine Valley
Tavistock

------------------

Page 9 of 11
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Cumberland
Cumberland
Cumberland
Cumberland
Cumberland
Cumberland
Gloucester
Gloucester
Gloucester
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Hunterdon
Mercer
Mercer
Middlesex
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Monmouth
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Morris
Ocean
Passaic

municipality name
Deerfield Twp.
Downe Twp.
Greenwich Twp.
Hopewell Twp.
Shiloh
Stow Creek Twp.
Elk Twp.
Franklin Twp.
South Harrison Twp.
Alexandria Twp.
Bethlehem Twp.
Bloomsbury
Clinton Twp.
Delaware Twp.
East Amwell Twp.
Franklin Twp.
Hampton
High Bridge
Holland Twp.
Kingwood Twp.
Lebanon Twp.
Raritan Twp.
Readington Twp.
Tewksbury Twp.
Union Twp.
West Amwell Twp.
Hopewell Twp.
West Windsor Twp.
Monroe Twp.
Colts Neck Twp.
Holmdel
Howell Twp.
Marlboro Twp.
Middletown Twp.
Millstone Twp.
Roosevelt
Tinton Falls
Upper Freehold Twp.
Wall Twp.
Boonton Twp.
Chatham Twp.
Chester borough
Chester Twp.
Harding Twp.
Jefferson Twp.
Kinnelon
Long Hill Twp.
Mendham Twp.
Mine Hill Twp.
Morris Twp.
Mount Olive Twp.
Randolph Twp.
Rockaway Twp.
Roxbury Twp.
Mantoloking
Ringwood

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
---------------------------------------------------------

---------------------------------------------------------

---------------------------------------------------------

---------------------------------------------------------

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

net activity density category
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
low‐density suburban
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
large‐lot
large‐lot
low‐density suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
low‐density suburban
low‐density suburban
low‐density suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban

Page 10 of 11

presence of a center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified

road 
2010 
density  bus access 
Census  population 
category
level population
55+

% 55+

% 55 to 64

% 65 to 84

% 85+

low
very low
very low
low
low
low
low
low
low
low
low
medium
low
low
very low
very low
medium
medium
low
very low
low
low
low
low
low
very low
low
medium
low
low
medium
low
medium
medium
low
low
low
very low
medium
low
medium
medium
low
low
low
low
low
low
medium
medium
low
medium
low
medium
medium
low

27.3%
37.4%
37.8%
34.1%
29.5%
34.0%
25.1%
23.4%
23.1%
29.3%
24.8%
20.0%
24.0%
35.5%
32.9%
30.3%
26.9%
21.4%
30.4%
28.5%
29.8%
25.0%
28.5%
33.2%
23.1%
23.8%
28.6%
22.1%
48.2%
26.5%
30.5%
21.9%
24.2%
28.0%
21.9%
32.7%
36.9%
28.2%
31.2%
32.8%
27.7%
30.7%
26.5%
38.0%
23.5%
26.7%
27.9%
27.4%
25.1%
31.1%
19.6%
21.9%
27.3%
26.2%
80.7%
26.0%

14.1%
16.9%
19.8%
13.5%
14.0%
16.4%
13.1%
12.9%
12.6%
16.7%
15.1%
10.8%
13.4%
19.4%
18.8%
15.0%
13.5%
12.8%
14.4%
15.6%
14.7%
13.0%
15.0%
16.9%
13.5%
12.4%
14.4%
11.3%
13.4%
13.0%
14.2%
11.9%
12.9%
14.0%
13.8%
18.9%
11.4%
14.3%
14.2%
14.8%
12.6%
13.1%
13.3%
17.0%
12.7%
14.5%
13.2%
14.9%
12.9%
13.6%
10.6%
12.6%
13.1%
13.6%
33.1%
14.7%

11.4%
18.2%
15.7%
16.5%
13.6%
15.5%
10.5%
9.4%
9.6%
10.9%
9.0%
7.9%
9.6%
14.4%
12.3%
13.3%
12.0%
7.8%
14.0%
10.9%
13.3%
9.9%
12.0%
15.0%
9.0%
10.5%
12.3%
9.3%
27.7%
12.0%
13.5%
8.6%
9.9%
11.9%
7.2%
11.7%
16.3%
13.0%
14.2%
13.8%
12.2%
14.8%
12.0%
18.4%
9.8%
11.2%
13.0%
11.3%
10.4%
14.7%
7.9%
8.3%
12.7%
11.0%
44.3%
10.3%

1.8%
2.2%
2.4%
4.2%
1.9%
2.1%
1.6%
1.2%
0.9%
1.7%
0.7%
1.3%
1.1%
1.8%
1.8%
2.0%
1.4%
0.8%
2.0%
2.0%
1.8%
2.2%
1.5%
1.3%
0.6%
0.9%
1.8%
1.4%
7.1%
1.5%
2.8%
1.4%
1.4%
2.1%
0.9%
2.0%
9.3%
1.0%
2.8%
4.2%
3.0%
2.9%
1.2%
2.6%
1.0%
1.0%
1.7%
1.2%
1.9%
2.8%
1.1%
0.9%
1.5%
1.6%
3.4%
1.1%

none
none
none
none
none
none
low
low
none
none
none
none
none
none
none
none
none
none
none
none
none
low
none
none
none
none
none
low
low
low
none
low
low
low
none
none
low
none
low
none
none
none
none
none
none
low
none
none
none
low
none
low
low
low
none
low

3,119
1,585
804
4,571
516
1,431
4,216
16,820
3,162
4,938
3,979
870
13,478
4,563
4,013
3,195
1,401
3,648
5,291
3,845
6,588
22,185
16,126
5,993
5,908
3,840
17,304
27,165
39,132
10,142
16,773
51,075
40,191
66,522
10,566
882
17,892
6,902
26,164
4,263
10,452
1,649
7,838
3,838
21,314
10,248
8,702
5,869
3,651
22,306
28,117
25,734
24,156
23,324
296
12,228

850
592
304
1,559
152
486
1,060
3,942
729
1,445
988
174
3,238
1,619
1,321
969
377
781
1,609
1,095
1,966
5,547
4,603
1,989
1,365
912
4,942
6,003
18,862
2,691
5,118
11,178
9,741
18,616
2,314
288
6,605
1,949
8,175
1,399
2,897
507
2,078
1,459
5,001
2,738
2,426
1,607
917
6,928
5,499
5,628
6,583
6,102
239
3,180
Places To Age in New Jersey
Individual Municipal Scores on Four Metrics of Aging‐Friendliness
scoring well on aging-friendliness metrics:

county
Salem
Salem
Salem
Salem
Salem
Salem
Salem
Somerset
Somerset
Somerset
Somerset
Somerset
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Sussex
Warren
Warren
Warren
Warren
Warren
Warren
Warren
Warren
Warren
Warren
Warren
Warren
Warren

municipality name
Alloway Twp.
Elsinboro Twp.
Lower Alloways Creek Twp.
Oldmans Twp.
Pilesgrove Twp.
Pittsgrove Twp.
Quinton Twp.
Bernards Twp.
Branchburg Twp.
Hillsborough Twp.
Montgomery Twp.
Peapack and Gladstone
Andover Twp.
Byram Twp.
Fredon Twp.
Green Twp.
Hampton Twp.
Hardyston Twp.
Lafayette Twp.
Ogdensburg
Stillwater Twp.
Walpack Twp.
Wantage Twp.
Allamuchy Twp.
Blairstown Twp.
Franklin Twp.
Frelinghuysen Twp.
Greenwich Twp.
Hardwick Twp.
Harmony Twp.
Independence Twp.
Knowlton Twp.
Liberty Twp.
Lopatcong Twp.
Mansfield Twp.
White Twp.

# of 
compactness  contains  local road  bus stop 
density 
density  metrics 
(top 3 net  at least 
activity density 
one  "good" or  "good" or  scoring 
better
well
center
better
categories)
-------------------------------------

-------------------------------------

-------------------------------------

-------------------------------------

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

road 
2010 
density  bus access 
Census  population 
category
level population
55+
low
low
very low
very low
low
low
very low
low
medium
low
low
low
low
low
low
low
very low
very low
low
medium
low
very low
low
very low
low
low
very low
low
very low
low
low
low
low
medium
low
very low

Page 11 of 11

presence of a center
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified
no centers identified

none
none
none
low
low
none
none
none
low
low
low
none
none
none
none
none
none
low
none
none
none
none
none
none
none
low
none
low
none
none
none
none
none
low
low
none

% 55+

% 55 to 64

% 65 to 84

% 85+

3,467
1,036
1,770
1,773
4,016
9,393
2,666
26,652
14,459
38,303
22,254
2,582
6,319
8,350
3,437
3,601
5,196
8,213
2,538
2,410
4,099
16
11,358
4,323
5,967
3,176
2,230
5,712
1,696
2,667
5,662
3,055
2,942
8,014
7,725
4,882

864
385
551
490
1,447
2,556
789
6,870
3,504
8,392
4,606
643
2,018
2,033
967
875
1,604
2,434
735
589
1,168
9
2,932
1,476
1,833
844
758
971
468
832
1,396
817
691
2,404
1,931
2,150

24.9%
37.2%
31.1%
27.6%
36.0%
27.2%
29.6%
25.8%
24.2%
21.9%
20.7%
24.9%
31.9%
24.3%
28.1%
24.3%
30.9%
29.6%
29.0%
24.4%
28.5%
56.3%
25.8%
34.1%
30.7%
26.6%
34.0%
17.0%
27.6%
31.2%
24.7%
26.7%
23.5%
30.0%
25.0%
44.0%

13.1%
16.8%
13.8%
14.2%
15.0%
14.7%
13.4%
12.3%
13.2%
12.6%
10.8%
12.9%
15.9%
14.3%
14.5%
13.5%
16.1%
15.1%
16.2%
13.0%
17.3%
31.3%
14.0%
16.6%
15.2%
14.4%
16.2%
10.6%
15.0%
15.1%
13.8%
14.1%
13.9%
11.9%
12.2%
15.2%

10.8%
18.1%
15.4%
12.0%
15.5%
10.9%
14.1%
10.9%
10.0%
7.9%
8.2%
10.5%
13.3%
9.4%
12.4%
9.5%
13.5%
13.2%
11.5%
10.2%
9.9%
18.8%
10.7%
15.8%
13.6%
10.7%
13.5%
5.7%
11.1%
13.7%
10.0%
11.3%
8.4%
14.2%
10.4%
24.6%

1.1%
2.2%
1.9%
1.4%
5.5%
1.6%
2.1%
2.6%
1.1%
1.3%
1.7%
1.5%
2.7%
0.7%
1.2%
1.2%
1.3%
1.4%
1.3%
1.2%
1.3%
6.3%
1.1%
1.7%
1.9%
1.4%
4.3%
0.8%
1.5%
2.4%
0.9%
1.4%
1.2%
3.9%
2.4%
4.3%

8,791,894

net activity density category
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
low‐density suburban
low‐density suburban
low‐density suburban
low‐density suburban
large‐lot
low‐density suburban
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
large‐lot
large‐lot
large‐lot
low‐density suburban
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
large‐lot
low‐density suburban
large‐lot
large‐lot
low‐density suburban
low‐density suburban
large‐lot

2,232,158

25.4%

11.9%

11.4%

2.0%

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Creating Places To Age in New Jersey municipal data

  • 1. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Atlantic Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Burlington Burlington Burlington Camden Camden Camden Camden Cape May Cumberland Essex Essex Essex Essex Essex Essex Essex Essex Essex Essex Gloucester Gloucester Gloucester Hudson Hudson Hudson municipality name Ventnor City Bergenfield Cliffside Park Dumont Elmwood Park Englewood Englewood Cliffs Fair Lawn Fairview Fort Lee Garfield Hackensack Hasbrouck Heights Leonia Little Ferry Lodi Lyndhurst Maywood New Milford North Arlington Palisades Park Ridgefield Park River Edge Rochelle Park Rutherford Saddle Brook South Hackensack Twp. Teaneck Wallington Westwood Wood‐Ridge Bordentown city Mount Holly Riverside Audubon Camden Collingswood Haddon Twp. Wildwood Bridgeton Belleville Bloomfield Caldwell Orange East Orange Irvington Maplewood Montclair Newark Nutley Swedesboro Westville Woodbury Bayonne East Newark Guttenberg # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 net activity density category small city / urban suburb small city / urban suburb urban small city / urban suburb small city / urban suburb dense suburban / small town dense suburban / small town dense suburban / small town urban urban urban urban small city / urban suburb dense suburban / small town small city / urban suburb small city / urban suburb small city / urban suburb small city / urban suburb dense suburban / small town dense suburban / small town urban small city / urban suburb dense suburban / small town small city / urban suburb small city / urban suburb dense suburban / small town small city / urban suburb small city / urban suburb small city / urban suburb dense suburban / small town dense suburban / small town dense suburban / small town dense suburban / small town dense suburban / small town dense suburban / small town small city / urban suburb dense suburban / small town dense suburban / small town dense suburban / small town dense suburban / small town small city / urban suburb small city / urban suburb dense suburban / small town urban urban urban dense suburban / small town dense suburban / small town urban small city / urban suburb urban dense suburban / small town small city / urban suburb small city / urban suburb urban urban Page 1 of 11 presence of a center center center center center center contains ≥ 1 center center contains ≥ 1 center center center center contains ≥ 1 center center center center center contains ≥ 1 center center center center center center center center center center contains ≥ 1 center contains ≥ 1 center center center center center center center center contains ≥ 1 center center contains ≥ 1 center center contains ≥ 1 center contains ≥ 1 center contains ≥ 1 center center center contains ≥ 1 center center contains ≥ 1 center contains ≥ 1 center contains ≥ 1 center contains ≥ 1 center center center center contains ≥ 1 center center center road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ high very high very high very high high good good high high high very high high very high good good high good high very high good high high high high high good good high high high high good good high high high very high high very high good high high good high high very high good high good high good good high good very high very high 34.6% 25.7% 29.7% 27.6% 27.2% 26.7% 38.2% 30.7% 21.2% 35.3% 22.5% 24.0% 28.6% 29.4% 25.9% 24.8% 27.9% 28.9% 28.2% 29.6% 22.9% 24.7% 26.2% 33.6% 26.2% 29.1% 26.8% 28.0% 26.7% 29.0% 28.5% 27.6% 22.5% 21.4% 26.4% 15.8% 26.4% 30.0% 26.2% 13.6% 23.4% 23.8% 27.5% 21.2% 22.3% 20.0% 22.9% 24.1% 17.5% 27.7% 18.6% 23.3% 25.0% 25.5% 16.0% 22.0% 14.7% 12.6% 12.2% 12.1% 12.5% 12.5% 14.1% 14.4% 9.1% 13.5% 11.3% 11.6% 13.6% 14.3% 12.7% 11.7% 12.3% 13.2% 12.5% 13.3% 11.5% 12.2% 12.4% 13.6% 12.6% 12.5% 10.8% 13.1% 13.2% 12.4% 13.8% 14.1% 11.5% 10.9% 13.2% 8.2% 12.9% 12.8% 12.7% 6.5% 11.5% 11.8% 11.5% 10.0% 10.5% 11.1% 11.9% 12.8% 8.9% 13.2% 8.6% 11.6% 11.0% 12.3% 8.8% 10.6% 16.8% 11.0% 14.7% 13.3% 12.2% 12.3% 20.6% 13.2% 10.1% 18.5% 9.3% 10.6% 12.6% 13.1% 11.6% 10.7% 13.1% 12.9% 12.9% 13.5% 10.2% 11.0% 11.4% 15.8% 11.3% 13.4% 13.5% 12.4% 10.9% 13.6% 12.4% 11.1% 9.6% 9.0% 11.0% 6.8% 10.5% 13.9% 12.0% 6.1% 10.1% 9.9% 13.0% 9.7% 10.3% 8.1% 8.7% 9.5% 7.7% 12.0% 8.4% 10.2% 11.2% 11.2% 6.7% 10.1% 3.1% 2.0% 2.8% 2.2% 2.5% 1.9% 3.4% 3.1% 1.9% 3.4% 1.9% 1.8% 2.4% 2.0% 1.6% 2.4% 2.6% 2.8% 2.9% 2.8% 1.2% 1.5% 2.4% 4.1% 2.2% 3.1% 2.5% 2.5% 2.6% 3.0% 2.4% 2.4% 1.5% 1.6% 2.2% 0.7% 3.0% 3.3% 1.5% 1.1% 1.7% 2.0% 3.1% 1.4% 1.5% 0.9% 2.3% 1.8% 0.8% 2.5% 1.6% 1.4% 2.8% 2.1% 0.5% 1.3% excellent excellent excellent excellent excellent excellent good excellent excellent excellent excellent excellent excellent excellent excellent excellent excellent excellent excellent good excellent excellent excellent excellent excellent excellent excellent excellent excellent good excellent excellent good good excellent excellent excellent excellent good good excellent excellent excellent excellent excellent excellent good excellent excellent excellent excellent excellent excellent excellent excellent excellent 10,650 26,764 23,594 17,479 19,403 27,147 5,281 32,457 13,835 35,345 30,487 43,010 11,842 8,937 10,626 24,136 20,554 9,555 16,341 15,392 19,622 12,729 11,340 5,530 18,061 13,659 2,378 39,776 11,335 10,908 7,626 3,924 9,536 8,079 8,819 77,344 13,926 14,707 5,325 25,349 35,926 47,315 7,822 30,134 64,270 53,926 23,867 37,669 277,140 28,370 2,584 4,288 10,174 63,024 2,406 11,176 3,684 6,872 7,018 4,821 5,276 7,255 2,017 9,978 2,928 12,474 6,860 10,321 3,389 2,629 2,749 5,983 5,744 2,760 4,615 4,550 4,487 3,144 2,972 1,856 4,725 3,972 637 11,136 3,031 3,161 2,173 1,083 2,146 1,727 2,324 12,213 3,676 4,418 1,396 3,450 8,409 11,254 2,154 6,385 14,349 10,791 5,472 9,092 48,496 7,868 481 997 2,546 16,058 386 2,456
  • 2. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Hudson Hudson Hudson Hudson Hudson Hudson Hudson Hunterdon Mercer Mercer Middlesex Middlesex Middlesex Middlesex Middlesex Middlesex Middlesex Middlesex Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Morris Morris Morris Passaic Passaic Passaic Passaic Passaic Passaic Passaic Somerset Somerset Somerset Union Union Union Union Union Union Union Union Union Warren municipality name Harrison Hoboken Jersey City North Bergen Union City Weehawken West New York Flemington Princeton borough Trenton Carteret Dunellen Highland Park New Brunswick Perth Amboy South Amboy South River Woodbridge Twp. Asbury Park Belmar Freehold borough Highlands Keansburg Keyport Long Branch Manasquan Neptune City Red Bank Dover Morristown Rockaway borough Clifton Haledon Hawthorne Passaic Paterson Totowa Woodland Park Bound Brook North Plainfield Somerville Cranford Elizabeth Hillside Kenilworth Plainfield Rahway Roselle Roselle Park Union Phillipsburg # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 net activity density category urban urban urban urban urban urban urban small city / urban suburb urban urban dense suburban / small town dense suburban / small town small city / urban suburb urban urban dense suburban / small town dense suburban / small town dense suburban / small town small city / urban suburb dense suburban / small town small city / urban suburb small city / urban suburb small city / urban suburb dense suburban / small town dense suburban / small town dense suburban / small town dense suburban / small town urban small city / urban suburb urban dense suburban / small town small city / urban suburb small city / urban suburb dense suburban / small town urban urban dense suburban / small town dense suburban / small town small city / urban suburb small city / urban suburb small city / urban suburb dense suburban / small town small city / urban suburb small city / urban suburb dense suburban / small town small city / urban suburb small city / urban suburb small city / urban suburb small city / urban suburb small city / urban suburb dense suburban / small town municipalities scoring well on three of the four metrics: Page 2 of 11 presence of a center center center contains ≥ 1 center contains ≥ 1 center center center center center center contains ≥ 1 center contains ≥ 1 center center center contains ≥ 1 center contains ≥ 1 center center center contains ≥ 1 center center center center center center center contains ≥ 1 center center center center center center center contains ≥ 1 center center contains ≥ 1 center contains ≥ 1 center contains ≥ 1 center contains ≥ 1 center center center center center contains ≥ 1 center contains ≥ 1 center center center contains ≥ 1 center contains ≥ 1 center center center contains ≥ 1 center contains ≥ 1 center road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ good very high good good very high high very high good good high good high high good high good high good very high very high good high very high high high high high high good good good high good high very high very high good good good high good high good high good high high high very high good high 19.8% 11.8% 18.7% 24.2% 19.6% 22.4% 21.2% 20.4% 16.7% 18.1% 20.9% 20.6% 22.7% 10.0% 18.3% 24.6% 22.3% 24.5% 20.4% 28.4% 19.8% 29.0% 21.8% 27.6% 22.0% 31.2% 29.8% 22.3% 20.4% 21.5% 26.0% 26.1% 20.2% 26.8% 15.9% 18.5% 31.5% 31.5% 19.5% 18.7% 20.6% 29.7% 18.7% 24.3% 27.8% 19.0% 25.4% 23.8% 22.6% 26.1% 23.5% 10.6% 5.5% 9.6% 10.8% 9.1% 10.1% 9.2% 10.1% 6.5% 9.3% 10.1% 10.9% 11.2% 4.9% 9.1% 13.3% 10.5% 11.9% 10.0% 13.6% 8.8% 16.1% 11.0% 11.8% 10.7% 14.9% 14.4% 9.6% 9.8% 10.0% 13.7% 12.2% 9.7% 12.4% 8.2% 9.5% 13.5% 13.9% 9.4% 10.3% 9.6% 12.5% 9.5% 12.5% 12.2% 9.5% 11.9% 11.8% 11.5% 12.1% 10.3% 8.2% 5.4% 8.0% 11.4% 9.2% 10.9% 10.5% 8.4% 8.6% 7.6% 9.1% 8.4% 9.2% 4.4% 7.9% 9.7% 9.9% 10.9% 9.1% 12.9% 8.7% 12.1% 8.8% 13.3% 9.5% 14.3% 12.4% 9.9% 8.8% 9.4% 10.7% 11.3% 8.9% 11.8% 6.6% 8.0% 15.0% 15.6% 8.7% 7.3% 9.3% 13.6% 8.0% 10.6% 12.5% 8.3% 11.4% 10.5% 9.5% 11.5% 11.1% 1.1% 0.9% 1.0% 2.1% 1.3% 1.4% 1.5% 1.9% 1.6% 1.2% 1.7% 1.3% 2.4% 0.8% 1.3% 1.6% 2.0% 1.7% 1.3% 1.9% 2.3% 0.8% 2.0% 2.5% 1.8% 2.0% 3.0% 2.8% 1.7% 2.1% 1.6% 2.6% 1.6% 2.6% 1.1% 0.9% 3.1% 2.1% 1.5% 1.1% 1.6% 3.6% 1.2% 1.3% 3.1% 1.2% 2.1% 1.5% 1.7% 2.6% 2.1% excellent excellent excellent excellent excellent excellent excellent good excellent excellent good good excellent excellent excellent excellent good good excellent good good excellent excellent good good good excellent excellent good good good excellent excellent good excellent excellent excellent good good good good good excellent excellent excellent excellent excellent excellent excellent excellent excellent 13,620 50,005 247,597 60,773 66,455 12,554 49,708 4,581 12,307 84,913 22,844 7,227 13,982 55,181 50,814 8,631 16,008 99,585 16,116 5,794 12,052 5,005 10,105 7,240 30,719 5,897 4,869 12,206 18,157 18,411 6,438 84,136 8,318 18,791 69,781 146,199 10,804 11,819 10,402 21,936 12,098 22,625 124,969 21,404 7,914 49,808 27,346 21,085 13,297 56,642 14,950 2,702 5,912 46,213 14,736 13,036 2,806 10,524 936 2,057 15,369 4,768 1,487 3,179 5,530 9,318 2,122 3,573 24,431 3,283 1,646 2,384 1,449 2,206 1,997 6,764 1,841 1,450 2,720 3,697 3,955 1,674 21,987 1,679 5,042 11,113 26,981 3,408 3,722 2,032 4,101 2,493 6,725 23,350 5,203 2,199 9,457 6,943 5,013 3,011 14,799 3,513
  • 3. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county municipality name Atlantic Atlantic Bergen Bergen Bergen Bergen Bergen Bergen Bergen Burlington Burlington Burlington Burlington Burlington Burlington Camden Camden Camden Camden Camden Camden Cape May Cape May Cape May Cape May Essex Essex Hudson Hudson Hunterdon Mercer Mercer Mercer Middlesex Middlesex Middlesex Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Morris Morris Ocean Ocean Passaic Passaic Passaic Salem Somerset Sussex Union Union Atlantic City Pleasantville Bogota Carlstadt East Rutherford Edgewater Paramus Ridgefield Tenafly Beverly Burlington city Maple Shade Palmyra Riverton Willingboro Audubon Park Gloucester City Haddonfield Merchantville Oaklyn Woodlynne Avalon North Wildwood Stone Harbor West Cape May South Orange Verona Kearny Secaucus Lambertville Hightstown Hopewell borough Pennington Jamesburg Metuchen Milltown Atlantic Highlands Bradley Beach Englishtown Farmingdale Matawan Lake Como Spring Lake Boonton town Victory Gardens Lakehurst Seaside Heights Little Falls Pompton Lakes Prospect Park Woodstown South Bound Brook Sussex Garwood New Providence # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) yes yes yes yes yes yes yes yes -------yes --yes yes yes ----yes yes yes yes yes yes -yes yes yes --yes yes yes yes yes --yes yes yes yes -yes -yes yes yes -- yes --yes yes yes -yes yes yes yes yes yes yes yes -yes yes ---yes yes yes yes yes -yes yes yes yes yes yes yes yes yes yes -yes yes --yes yes -yes yes -yes -yes yes yes -yes -yes yes ---yes -yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes --yes yes yes yes yes yes yes yes yes -yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes -yes yes yes --yes ---yes yes yes yes -yes yes yes yes yes --yes yes yes yes --yes yes 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 net activity density category presence of a center road  2010  density  bus access  Census  population  category level population 55+ urban dense suburban / small town small city / urban suburb dense suburban / small town dense suburban / small town urban dense suburban / small town dense suburban / small town moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban dense suburban / small town moderate suburban moderate suburban dense suburban / small town dense suburban / small town urban large‐lot moderate suburban low‐density suburban low‐density suburban dense suburban / small town dense suburban / small town small city / urban suburb small city / urban suburb dense suburban / small town dense suburban / small town moderate suburban dense suburban / small town small city / urban suburb dense suburban / small town moderate suburban moderate suburban dense suburban / small town small city / urban suburb urban dense suburban / small town dense suburban / small town low‐density suburban moderate suburban small city / urban suburb dense suburban / small town dense suburban / small town dense suburban / small town moderate suburban urban moderate suburban dense suburban / small town dense suburban / small town dense suburban / small town moderate suburban contains ≥ 1 center no centers identified no centers identified contains ≥ 1 center contains ≥ 1 center center no centers identified contains single center contains ≥ 1 center center contains ≥ 1 center contains ≥ 1 center contains single center center contains single center no centers identified center center no centers identified no centers identified no centers identified contains single center center center contains single center center no centers identified contains ≥ 1 center contains ≥ 1 center center center center center center center center center no centers identified center center no centers identified no centers identified center center no centers identified center center no centers identified center no centers identified center center center no centers identified contains ≥ 1 center medium good very high medium medium medium good medium good high good good good good high high good high high high very high good very high very high good high good medium medium good good good good high good high high very high medium good good very high very high good high good high good good high good high good high good Page 3 of 11 excellent excellent excellent excellent good excellent excellent excellent good excellent good good good excellent good good good good excellent excellent excellent good excellent good good medium good excellent excellent none none good low low medium good good good excellent none excellent excellent good good good none medium excellent good excellent good low none excellent good 39,558 20,249 8,187 6,127 8,913 11,513 26,342 11,032 14,488 2,577 9,920 19,131 7,398 2,779 31,629 1,023 11,456 11,593 3,821 4,038 2,978 1,334 4,041 866 1,024 16,198 13,332 40,684 16,264 3,906 5,494 1,922 2,585 5,915 13,574 6,893 4,385 4,298 1,847 1,329 8,810 1,759 2,993 8,347 1,520 2,654 2,887 14,432 11,097 5,865 3,505 4,563 2,130 4,226 12,171 9,474 4,099 1,964 1,676 2,267 2,488 9,259 2,912 3,587 641 2,614 4,770 2,022 902 9,108 386 2,712 3,418 981 996 426 849 2,010 531 513 3,631 4,317 8,878 4,539 1,398 1,176 499 855 1,107 3,679 1,915 1,336 1,226 386 325 2,018 380 1,338 2,124 227 440 542 3,419 2,755 1,034 934 956 527 1,150 3,116 % 55+ % 55 to 64 % 65 to 84 % 85+ 23.9% 20.2% 24.0% 27.4% 25.4% 21.6% 35.1% 26.4% 24.8% 24.9% 26.4% 24.9% 27.3% 32.5% 28.8% 37.7% 23.7% 29.5% 25.7% 24.7% 14.3% 63.6% 49.7% 61.3% 50.1% 22.4% 32.4% 21.8% 27.9% 35.8% 21.4% 26.0% 33.1% 18.7% 27.1% 27.8% 30.5% 28.5% 20.9% 24.5% 22.9% 21.6% 44.7% 25.4% 14.9% 16.6% 18.8% 23.7% 24.8% 17.6% 26.6% 21.0% 24.7% 27.2% 25.6% 11.2% 9.6% 12.3% 12.0% 12.0% 10.0% 13.3% 12.1% 11.3% 13.5% 10.7% 11.7% 14.2% 14.5% 12.9% 11.7% 10.9% 14.5% 12.8% 13.3% 8.2% 23.2% 19.2% 19.7% 21.6% 11.9% 13.1% 11.1% 12.3% 18.4% 11.8% 14.9% 15.3% 10.2% 13.3% 12.9% 14.9% 14.6% 10.8% 14.1% 11.2% 11.1% 17.3% 12.3% 8.7% 9.6% 10.5% 10.7% 12.2% 9.5% 12.2% 12.0% 12.5% 12.0% 11.7% 11.2% 9.1% 10.3% 13.0% 11.7% 9.4% 17.1% 12.0% 11.3% 10.1% 12.9% 11.1% 11.1% 11.8% 14.6% 24.2% 11.1% 12.5% 10.8% 9.5% 5.4% 34.9% 27.4% 35.0% 24.4% 8.7% 15.3% 9.3% 13.4% 14.9% 7.9% 9.9% 12.9% 7.5% 11.7% 12.6% 13.7% 12.1% 6.9% 8.7% 9.8% 9.0% 24.2% 10.8% 6.0% 6.3% 7.3% 10.8% 10.8% 7.2% 12.2% 7.8% 10.3% 12.5% 11.6% 1.6% 1.6% 1.4% 2.4% 1.8% 2.2% 4.8% 2.3% 2.2% 1.3% 2.8% 2.1% 2.0% 6.1% 1.3% 1.8% 1.7% 2.4% 2.1% 1.9% 0.7% 5.5% 3.1% 6.6% 4.1% 1.9% 4.0% 1.4% 2.2% 2.5% 1.7% 1.2% 4.9% 1.0% 2.1% 2.2% 1.9% 1.9% 3.2% 1.7% 1.9% 1.5% 3.2% 2.4% 0.3% 0.6% 1.0% 2.2% 1.8% 1.0% 2.3% 1.1% 1.9% 2.7% 2.3%
  • 4. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Union Union Union municipality name Summit Westfield Winfield # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) --yes yes yes -- yes yes yes yes yes yes 3 3 3 net activity density category moderate suburban moderate suburban dense suburban / small town presence of a center contains ≥ 1 center contains ≥ 1 center no centers identified -yes yes yes yes yes yes yes yes yes -yes yes yes ---yes -yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes --yes yes yes -- yes yes yes yes yes yes yes yes yes yes yes -yes yes yes yes yes yes yes yes yes -yes yes yes yes yes yes yes yes yes yes yes yes yes ------yes yes yes yes yes yes 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 moderate suburban moderate suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban dense suburban / small town dense suburban / small town moderate suburban moderate suburban dense suburban / small town moderate suburban low‐density suburban low‐density suburban low‐density suburban moderate suburban moderate suburban dense suburban / small town moderate suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban low‐density suburban moderate suburban low‐density suburban low‐density suburban moderate suburban low‐density suburban low‐density suburban moderate suburban low‐density suburban moderate suburban moderate suburban contains single center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains single center contains single center no centers identified contains single center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains single center center contains single center center center center contains ≥ 1 center contains single center no centers identified no centers identified no centers identified contains ≥ 1 center road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ good high high good good excellent 21,457 30,316 1,471 4,921 7,605 444 22.9% 25.1% 30.2% 11.1% 12.0% 14.3% 9.8% 10.6% 13.5% 2.0% 2.5% 2.3% low good very high very high good good high good high high medium high good high low medium medium good medium good good good good good good high very high good good high high good good high high good very high high high high very high low low good good high medium good excellent excellent excellent good good good good good good good none good good excellent good good excellent good good good medium good excellent excellent excellent good good excellent good excellent excellent excellent good excellent medium none medium low none none good good excellent good good good 4,243 7,092 895 6,354 8,624 10,795 8,573 7,401 11,601 7,128 2,708 4,640 7,978 24,958 67 22,594 4,283 540 12,109 1,409 6,983 1,955 71,045 1,634 5,000 7,473 1,908 2,945 17,613 4,341 4,676 35,885 8,468 5,151 7,040 3,607 291 11,701 2,114 603 3,270 2,472 28,400 12,411 2,113 7,527 29,366 964 2,311 516 3,162 2,410 3,051 2,566 2,359 2,994 2,038 815 1,198 2,431 6,213 14 5,116 1,287 111 3,316 439 2,011 446 22,115 543 1,166 2,263 478 902 3,575 1,048 1,249 8,887 2,250 1,444 1,779 1,465 241 5,568 1,181 278 1,370 668 7,139 4,726 623 1,597 8,818 22.7% 32.6% 57.7% 49.8% 27.9% 28.3% 29.9% 31.9% 25.8% 28.6% 30.1% 25.8% 30.5% 24.9% 20.9% 22.6% 30.0% 20.6% 27.4% 31.2% 28.8% 22.8% 31.1% 33.2% 23.3% 30.3% 25.1% 30.6% 20.3% 24.1% 26.7% 24.8% 26.6% 28.0% 25.3% 40.6% 82.8% 47.6% 55.9% 46.1% 41.9% 27.0% 25.1% 38.1% 29.5% 21.2% 30.0% 10.9% 14.5% 20.0% 18.1% 11.9% 13.7% 12.6% 12.0% 12.9% 12.6% 13.9% 11.2% 13.9% 12.4% 7.5% 10.6% 14.0% 10.0% 14.7% 17.9% 13.0% 11.6% 13.4% 13.5% 12.3% 14.3% 13.0% 13.3% 10.9% 12.0% 12.7% 11.9% 11.9% 12.7% 11.0% 13.0% 27.1% 17.9% 23.6% 18.4% 15.5% 13.8% 11.9% 14.3% 13.3% 11.7% 13.2% 10.0% 14.2% 31.7% 26.8% 13.2% 12.7% 13.5% 15.0% 10.8% 12.8% 14.1% 12.8% 13.9% 10.4% 11.9% 9.3% 14.7% 9.6% 11.1% 12.0% 13.5% 9.5% 14.6% 16.1% 9.8% 12.8% 10.2% 15.5% 8.4% 10.6% 11.4% 10.9% 12.4% 13.3% 12.0% 23.6% 47.8% 24.7% 28.4% 24.5% 22.6% 11.9% 11.4% 17.7% 13.9% 8.2% 13.9% 1.8% 3.9% 5.9% 4.9% 2.9% 1.9% 3.8% 4.9% 2.1% 3.2% 2.0% 1.9% 2.7% 2.1% 1.5% 2.7% 1.4% 0.9% 1.6% 1.3% 2.3% 1.7% 3.1% 3.6% 1.3% 3.1% 1.9% 1.8% 1.0% 1.6% 2.5% 2.0% 2.3% 2.1% 2.3% 4.0% 7.9% 4.9% 3.9% 3.2% 3.8% 1.3% 1.8% 6.1% 2.3% 1.3% 2.9% municipalities scoring well on two of the four metrics: Atlantic Atlantic Atlantic Atlantic Atlantic Atlantic Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Burlington Burlington Burlington Burlington Burlington Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Cape May Cape May Cape May Cape May Cape May Cape May Cape May Cumberland Essex Essex Essex Essex Egg Harbor City Linwood Longport Margate City Northfield Somers Point Cresskill Emerson Glen Rock Midland Park Moonachie Northvale Oradell Ridgewood Teterboro Burlington Twp. Delanco Fieldsboro Florence Twp. Pemberton borough Barrington Brooklawn Cherry Hill Twp. Chesilhurst Clementon Haddon Heights Laurel Springs Lawnside Lindenwold Magnolia Mount Ephraim Pennsauken Runnemede Somerdale Stratford Cape May Cape May Point Ocean City Sea Isle City West Wildwood Wildwood Crest Woodbine Millville Cedar Grove Essex Fells Glen Ridge Livingston ----------yes yes --yes ------yes -------------------------- yes --------------yes yes -yes ----------------yes yes yes yes yes yes yes yes ---yes Page 4 of 11
  • 5. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Essex Gloucester Gloucester Gloucester Gloucester Mercer Middlesex Middlesex Middlesex Middlesex Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Morris Morris Morris Morris Morris Morris Ocean Ocean Ocean Ocean Passaic Salem Salem Somerset Somerset Sussex Union Union Union Warren Warren municipality name West Orange National Park Pitman Wenonah Woodbury Heights Lawrence Twp. Edison Twp. Middlesex South Plainfield Spotswood Allenhurst Avon‐by‐the‐Sea Deal Fair Haven Loch Arbour Neptune Twp. Sea Girt Shrewsbury Twp. Spring Lake Heights Union Beach West Long Branch Butler Chatham borough Lincoln Park Netcong Parsippany‐Troy Hills Wharton Beachwood Brick Twp. Point Pleasant Beach Tuckerton Wanaque Penns Grove Salem Manville Raritan Newton Fanwood Linden Scotch Plains Hackettstown Washington borough # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) ------yes ----------yes ------yes yes ---------yes yes ---yes -- yes ----yes ---------yes -------yes yes -yes yes yes -yes yes -yes yes yes yes -yes yes yes yes road  2010  density  bus access  Census  population  category level population 55+ % 65 to 84 % 85+ 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 presence of a center contains ≥ 1 center no centers identified no centers identified no centers identified no centers identified contains ≥ 1 center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains single center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains single center center no centers identified contains single center center contains single center no centers identified contains single center contains single center no centers identified center center center contains ≥ 1 center no centers identified contains ≥ 1 center contains ≥ 1 center contains single center center % 55 to 64 yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes -yes -yes yes yes yes yes yes -yes yes --yes yes yes yes yes ---yes yes yes --- net activity density category moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban dense suburban / small town moderate suburban moderate suburban moderate suburban low‐density suburban moderate suburban large‐lot moderate suburban low‐density suburban moderate suburban moderate suburban urban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban dense suburban / small town dense suburban / small town moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban dense suburban / small town dense suburban / small town moderate suburban moderate suburban moderate suburban dense suburban / small town moderate suburban % 55+ -yes yes yes yes --yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes ----yes yes yes --yes -yes --yes ---yes medium high high good good low medium good good good high very high good high very high good high high good good good good good medium medium medium medium high good high medium low very high medium high medium medium high medium medium medium good excellent excellent good good good good good good good good good excellent good good excellent none good none good excellent good good good good none good good low low good good good excellent excellent low low none excellent good good low low 46,207 3,036 9,011 2,278 3,055 33,472 99,967 13,635 23,385 8,257 496 1,901 750 6,121 194 27,935 1,828 1,141 4,713 6,245 8,097 7,539 8,962 10,521 3,232 53,238 6,522 11,045 75,072 4,665 3,347 11,116 5,147 5,146 10,344 6,881 7,997 7,318 40,499 23,510 9,724 6,461 13,169 722 2,624 662 813 8,757 24,730 3,520 6,139 2,595 178 780 330 1,295 67 8,476 866 353 1,945 1,376 1,992 1,927 1,779 3,254 830 14,355 1,509 2,276 23,350 1,525 1,017 3,612 954 1,307 2,678 1,664 2,365 1,861 10,378 6,173 2,444 1,427 28.5% 23.8% 29.1% 29.1% 26.6% 26.2% 24.7% 25.8% 26.3% 31.4% 35.9% 41.0% 44.0% 21.2% 34.5% 30.3% 47.4% 30.9% 41.3% 22.0% 24.6% 25.6% 19.9% 30.9% 25.7% 27.0% 23.1% 20.6% 31.1% 32.7% 30.4% 32.5% 18.5% 25.4% 25.9% 24.2% 29.6% 25.4% 25.6% 26.3% 25.1% 22.1% 12.6% 12.3% 12.2% 16.4% 13.0% 12.4% 12.1% 12.0% 12.7% 12.5% 16.1% 17.1% 15.3% 11.6% 19.1% 13.9% 17.5% 13.0% 15.4% 12.8% 11.0% 12.4% 9.7% 15.0% 12.1% 13.3% 11.4% 11.6% 13.2% 15.2% 12.8% 14.3% 9.0% 12.9% 11.7% 10.6% 11.1% 11.5% 12.2% 12.1% 11.0% 11.5% 12.1% 10.4% 11.9% 10.9% 12.2% 11.4% 10.6% 11.6% 11.3% 16.0% 16.3% 20.8% 23.9% 8.2% 13.9% 13.9% 26.0% 11.5% 21.3% 8.5% 11.3% 11.5% 8.6% 13.8% 11.9% 12.2% 9.9% 8.0% 14.8% 15.0% 15.1% 16.1% 8.3% 10.2% 12.0% 11.6% 12.9% 10.7% 11.0% 11.9% 11.2% 9.1% 3.8% 1.1% 5.0% 1.8% 1.3% 2.4% 2.0% 2.2% 2.3% 3.0% 3.4% 3.2% 4.8% 1.3% 1.5% 2.6% 3.8% 6.5% 4.5% 0.8% 2.3% 1.7% 1.5% 2.1% 1.8% 1.5% 1.8% 1.0% 3.1% 2.6% 2.5% 2.0% 1.3% 2.2% 2.2% 1.9% 5.7% 3.2% 2.4% 2.3% 2.9% 1.4% --------- yes yes --yes ---- 1 1 1 1 1 1 1 1 moderate suburban moderate suburban low‐density suburban large‐lot low‐density suburban large‐lot large‐lot low‐density suburban no centers identified no centers identified contains single center contains multiple centers no centers identified contains single center contains single center contains multiple centers medium medium low low very low very low low low good excellent none low good low medium medium 8,411 9,450 4,603 7,570 492 1,735 1,885 37,349 2,680 3,588 1,168 2,278 138 461 532 9,515 31.9% 38.0% 25.4% 30.1% 28.0% 26.6% 28.2% 25.5% 14.8% 16.2% 11.2% 13.7% 15.9% 15.5% 17.1% 11.8% 14.6% 19.4% 11.5% 14.4% 10.6% 9.8% 10.0% 11.8% 2.5% 2.4% 2.7% 2.0% 1.6% 1.3% 1.2% 1.9% municipalities scoring well on one of the four metrics: Atlantic Atlantic Atlantic Atlantic Atlantic Atlantic Atlantic Atlantic Absecon Brigantine Buena Buena Vista Twp. Corbin City Estell Manor Folsom Galloway Twp. --------- --yes yes -yes yes yes Page 5 of 11
  • 6. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Atlantic Atlantic Atlantic Atlantic Atlantic Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Bergen Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Camden Camden Camden Camden Camden Camden Camden Camden Cape May Cape May Cape May Cumberland Cumberland Cumberland Cumberland Essex Essex Essex Essex Gloucester Gloucester municipality name Hamilton Twp. Hammonton Mullica Twp. Port Republic Weymouth Twp. Allendale Closter Demarest Harrington Park Haworth Hillsdale Ho‐Ho‐Kus Montvale Park Ridge Ramsey River Vale Upper Saddle River Waldwick Washington Twp. Woodcliff Lake Wyckoff Bass River Twp. Chesterfield Twp. Cinnaminson Delran Edgewater Park Hainesport Twp. Medford Lakes Moorestown Twp. Pemberton Twp. Shamong Twp. Southampton Twp. Tabernacle Twp. Washington Twp. Woodland Twp. Bellmawr Berlin Gloucester Twp. Hi‐Nella Pine Hill Voorhees Twp. Waterford Twp. Winslow Twp. Dennis Twp. Middle Twp. Upper Twp. Commercial Twp. Lawrence Twp. Maurice River Twp. Vineland Millburn North Caldwell Roseland West Caldwell Deptford Twp. Greenwich Twp. # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) ----------------------------------------------------yes ---- yes yes yes yes yes ----------------yes yes yes yes yes ---yes yes yes yes yes yes ------yes yes yes yes yes yes yes yes yes yes ------ -----yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes ------yes -------yes --yes ------------yes ----- --------------------------yes -yes -------yes yes -yes yes ------------yes yes yes 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 net activity density category low‐density suburban low‐density suburban large‐lot large‐lot large‐lot moderate suburban moderate suburban low‐density suburban moderate suburban low‐density suburban moderate suburban low‐density suburban moderate suburban moderate suburban moderate suburban low‐density suburban low‐density suburban moderate suburban moderate suburban low‐density suburban low‐density suburban large‐lot low‐density suburban moderate suburban moderate suburban moderate suburban low‐density suburban moderate suburban moderate suburban low‐density suburban large‐lot large‐lot large‐lot large‐lot large‐lot moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban low‐density suburban low‐density suburban large‐lot low‐density suburban large‐lot low‐density suburban large‐lot low‐density suburban low‐density suburban moderate suburban low‐density suburban dense suburban / small town moderate suburban moderate suburban large‐lot Page 6 of 11 presence of a center contains single center contains single center contains multiple centers contains single center contains multiple centers no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains single center contains multiple centers contains single center contains single center contains multiple centers no centers identified no centers identified no centers identified contains single center contains single center contains single center contains single center contains multiple centers contains single center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains single center contains multiple centers contains multiple centers contains multiple centers contains multiple centers contains multiple centers contains single center contains multiple centers contains single center contains ≥ 1 center no centers identified no centers identified no centers identified no centers identified no centers identified road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ very low low very low very low low good good good good good high good good good good good good high good good good very low low medium medium medium medium very high medium low very low low very low very low very low good medium medium good medium medium low low very low low very low low very low very low low medium good medium medium medium low 21.6% 27.2% 26.4% 32.0% 41.9% 27.9% 26.7% 27.6% 29.2% 29.5% 27.4% 29.0% 27.2% 32.9% 25.9% 30.0% 25.8% 26.0% 33.7% 29.8% 30.0% 25.6% 12.1% 30.9% 23.5% 27.9% 26.8% 28.7% 28.9% 23.2% 24.5% 48.3% 27.3% 27.7% 26.3% 29.4% 28.3% 23.4% 20.1% 20.7% 30.3% 24.6% 22.3% 29.6% 33.1% 29.6% 23.4% 22.6% 14.9% 25.7% 23.0% 30.3% 37.4% 32.4% 27.0% 31.7% 11.1% 11.2% 13.1% 19.4% 14.8% 13.3% 13.2% 13.2% 14.3% 14.3% 12.6% 13.0% 12.7% 13.7% 13.2% 14.1% 12.6% 11.5% 13.8% 13.4% 13.4% 12.6% 6.7% 12.7% 11.6% 12.1% 12.5% 13.9% 12.7% 11.6% 14.7% 16.3% 16.2% 12.7% 15.8% 12.4% 11.4% 12.4% 10.8% 12.0% 13.7% 14.7% 11.7% 14.6% 14.1% 15.3% 11.7% 11.6% 7.9% 11.8% 11.7% 16.3% 15.3% 12.9% 12.0% 13.7% 9.5% 12.9% 12.1% 10.9% 24.9% 10.7% 11.8% 12.7% 13.0% 13.2% 12.5% 13.8% 13.4% 15.5% 11.0% 13.5% 11.7% 12.3% 17.5% 12.8% 13.4% 11.7% 4.7% 15.6% 10.7% 14.1% 12.7% 13.4% 12.3% 10.4% 8.9% 27.1% 10.4% 13.0% 9.4% 14.9% 13.7% 9.6% 8.3% 7.6% 12.7% 8.8% 9.0% 12.6% 16.4% 12.3% 10.5% 9.8% 6.4% 11.6% 9.6% 12.2% 19.3% 14.4% 12.9% 15.3% 1.0% 3.1% 1.2% 1.7% 2.3% 3.8% 1.7% 1.7% 2.0% 2.0% 2.3% 2.1% 1.1% 3.7% 1.7% 2.3% 1.4% 2.2% 2.4% 3.5% 3.2% 1.2% 0.7% 2.7% 1.2% 1.7% 1.6% 1.4% 3.9% 1.2% 0.9% 4.9% 0.8% 2.0% 1.1% 2.1% 3.1% 1.4% 1.0% 1.1% 3.8% 1.1% 1.6% 2.3% 2.6% 1.9% 1.2% 1.2% 0.6% 2.3% 1.7% 1.9% 2.7% 5.1% 2.1% 2.7% medium medium medium low low none medium none low medium none none none none none none none none none none low medium none medium medium medium good none good low none low none none none medium good good none good good medium medium low medium low none none low medium medium low medium good good good 26,503 14,791 6,147 1,115 2,715 6,505 8,373 4,881 4,664 3,382 10,219 4,078 7,844 8,645 14,473 9,659 8,208 9,625 9,102 5,730 16,696 1,443 7,699 15,569 16,896 8,881 6,110 4,146 20,726 27,912 6,490 10,464 6,949 687 1,788 11,583 7,588 64,634 870 10,233 29,131 10,649 39,499 6,467 18,911 12,373 5,178 3,290 7,976 60,724 20,149 6,183 5,819 10,759 30,561 4,899 5,723 4,029 1,622 357 1,138 1,812 2,239 1,346 1,363 998 2,803 1,181 2,133 2,847 3,750 2,895 2,115 2,504 3,068 1,709 5,012 369 932 4,813 3,977 2,482 1,640 1,188 5,982 6,488 1,588 5,056 1,900 190 470 3,409 2,146 15,132 175 2,115 8,814 2,616 8,804 1,915 6,256 3,664 1,212 742 1,191 15,626 4,633 1,875 2,174 3,487 8,265 1,554
  • 7. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Gloucester Gloucester Gloucester Gloucester Gloucester Gloucester Hunterdon Mercer Mercer Mercer Mercer Middlesex Middlesex Middlesex Middlesex Middlesex Middlesex Middlesex Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Morris Morris Morris Morris Morris Morris Morris Morris Morris Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean Ocean municipality name Harrison Twp. Newfield Paulsboro Washington Twp. West Deptford Twp. Woolwich Twp. Milford Ewing Twp. Hamilton Twp. Princeton Twp. Robbinsville Twp. Cranbury Twp. East Brunswick Twp. Helmetta Old Bridge Twp. Piscataway Twp. Plainsboro Twp. South Brunswick Twp. Aberdeen Allentown Brielle Hazlet Interlaken Little Silver Monmouth Beach Ocean Twp. Sea Bright Shrewsbury borough East Hanover Twp. Hanover Twp. Madison Mendham borough Morris Plains Mount Arlington Mountain Lakes Riverdale Washington Twp. Barnegat Light Barnegat Twp. Bay Head Beach Haven Berkeley Twp. Toms River Eagleswood Twp. Harvey Cedars Island Heights Jackson Twp. Lacey Twp. Lakewood Lavallette Little Egg Harbor Twp. Long Beach Twp. Manchester Twp. Ocean Gate Ocean Twp. Pine Beach # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) ------------------------------------------------yes -------- yes ----yes yes --yes yes yes yes ----yes -yes --------yes --yes -yes --yes -yes --yes yes yes --yes yes --yes -yes -yes -- --yes ----------yes -yes --yes -yes yes yes yes yes yes ----yes ---yes --yes -yes yes ---yes yes ---yes -yes -yes -yes -yes -yes yes --yes yes -----yes -yes ---------yes yes -yes --yes --yes --------------------- 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 net activity density category low‐density suburban low‐density suburban moderate suburban moderate suburban low‐density suburban large‐lot low‐density suburban moderate suburban moderate suburban low‐density suburban low‐density suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban low‐density suburban moderate suburban moderate suburban low‐density suburban moderate suburban low‐density suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban large‐lot large‐lot moderate suburban low‐density suburban low‐density suburban low‐density suburban moderate suburban large‐lot large‐lot moderate suburban low‐density suburban low‐density suburban dense suburban / small town low‐density suburban low‐density suburban large‐lot low‐density suburban moderate suburban low‐density suburban low‐density suburban Page 7 of 11 presence of a center contains ≥ 1 center no centers identified no centers identified no centers identified no centers identified contains single center center no centers identified no centers identified contains single center contains single center contains single center contains single center no centers identified no centers identified no centers identified no centers identified contains single center no centers identified center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified contains ≥ 1 center no centers identified no centers identified contains single center no centers identified contains single center no centers identified no centers identified contains single center no centers identified contains multiple centers no centers identified no centers identified contains single center contains ≥ 1 center contains single center no centers identified no centers identified contains multiple centers contains single center no centers identified no centers identified contains multiple centers no centers identified contains multiple centers no centers identified contains multiple centers no centers identified road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ low medium good medium medium low medium medium medium medium low low medium good low good medium low good medium good good high good good good medium medium medium medium good low medium medium good medium low good low high very high medium medium very low very high high low low medium high low good very low very high low very high 18.1% 28.2% 21.0% 26.3% 27.5% 14.7% 29.4% 26.7% 29.3% 30.4% 19.5% 30.9% 27.1% 22.0% 24.9% 20.4% 16.8% 20.3% 22.7% 25.2% 31.9% 27.9% 47.9% 30.3% 38.5% 30.2% 33.0% 30.8% 34.1% 31.2% 24.0% 32.0% 29.2% 35.1% 21.9% 28.1% 25.4% 58.9% 38.1% 53.3% 43.2% 57.9% 30.8% 28.1% 59.1% 37.5% 26.7% 27.9% 17.7% 58.2% 35.9% 61.2% 65.0% 25.8% 41.9% 32.1% 9.7% 14.1% 9.5% 13.8% 13.2% 8.4% 13.4% 11.9% 13.6% 13.4% 9.9% 14.2% 13.5% 12.4% 12.7% 10.7% 9.3% 11.0% 12.1% 13.8% 15.0% 13.4% 21.3% 14.5% 17.0% 14.9% 18.5% 13.2% 14.9% 13.0% 9.7% 13.0% 12.6% 14.7% 11.8% 13.0% 14.0% 17.6% 14.0% 18.9% 18.2% 14.5% 13.5% 14.6% 17.2% 19.8% 11.9% 13.1% 5.5% 17.8% 14.3% 21.2% 14.9% 12.2% 17.4% 15.5% 7.6% 12.2% 9.8% 10.8% 12.9% 5.8% 14.0% 12.0% 13.2% 14.3% 8.0% 13.4% 11.6% 9.0% 10.7% 8.7% 6.3% 8.3% 9.4% 10.2% 14.8% 12.8% 21.7% 13.7% 19.0% 13.5% 13.9% 12.9% 17.0% 14.4% 11.3% 15.7% 13.4% 17.6% 9.1% 12.7% 9.2% 38.2% 22.0% 30.0% 21.4% 34.5% 14.8% 12.4% 39.2% 15.5% 12.9% 12.8% 9.9% 34.3% 19.2% 36.2% 40.3% 11.6% 22.5% 14.3% 0.8% 1.9% 1.7% 1.7% 1.5% 0.5% 1.9% 2.7% 2.6% 2.7% 1.7% 3.3% 1.9% 0.7% 1.4% 1.0% 1.2% 1.0% 1.2% 1.2% 2.1% 1.8% 4.9% 2.1% 2.5% 1.8% 0.6% 4.8% 2.2% 3.7% 2.9% 3.3% 3.2% 2.8% 0.9% 2.4% 2.1% 3.1% 2.1% 4.4% 3.7% 8.9% 2.5% 1.1% 2.7% 2.2% 1.9% 2.0% 2.3% 6.0% 2.4% 3.9% 9.8% 1.9% 2.0% 2.3% low good medium good good low none good good none low low medium none good low good low medium none medium low none none none medium good good medium good medium none good none none excellent none none low none none low low medium none medium low low medium low medium none none none medium low 12,417 1,553 6,097 48,559 21,677 10,200 1,233 35,790 88,464 16,265 13,642 3,857 47,512 2,178 65,375 56,044 22,999 43,417 18,210 1,828 4,774 20,334 820 5,950 3,279 27,291 1,412 3,809 11,157 13,712 15,845 4,981 5,532 5,050 4,160 3,559 18,533 574 20,936 968 1,170 41,255 91,239 1,603 337 1,673 54,856 27,644 92,843 1,875 20,065 3,051 43,070 2,011 8,332 2,127 2,243 438 1,278 12,760 5,971 1,504 362 9,550 25,955 4,948 2,666 1,190 12,853 480 16,264 11,458 3,870 8,826 4,135 460 1,522 5,683 393 1,801 1,261 8,236 466 1,174 3,810 4,272 3,799 1,595 1,615 1,771 910 999 4,699 338 7,980 516 506 23,870 28,088 451 199 627 14,669 7,715 16,411 1,091 7,197 1,868 28,012 518 3,487 683
  • 8. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Ocean Ocean Ocean Ocean Ocean Ocean Ocean Passaic Passaic Passaic Salem Salem Somerset Somerset Somerset Somerset Somerset Somerset Somerset Somerset Somerset Sussex Sussex Sussex Sussex Sussex Sussex Sussex Sussex Sussex Union Union Warren Warren Warren Warren Warren Warren municipality name Plumsted Twp. Point Pleasant Seaside Park Ship Bottom South Toms River Stafford Twp. Surf City Bloomingdale North Haledon Wayne Carneys Point Twp. Elmer Bedminster Twp. Bernardsville Bridgewater Twp. Far Hills Franklin Twp. Millstone Rocky Hill Warren Watchung Andover borough Branchville Frankford Twp. Hopatcong Montague Twp. Sandyston Twp. Sparta Twp. Stanhope Vernon Twp. Clark Springfield Alpha Belvidere Hope Twp. Oxford Twp. Pohatcong Twp. Washington Twp. # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) --------------------------------------- yes ----yes -yes ---yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes yes ----yes yes yes yes -yes yes yes yes -yes -yes ---------------------yes -yes yes ----- ---------yes yes --------------------yes ------- 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 net activity density category large‐lot moderate suburban moderate suburban low‐density suburban moderate suburban low‐density suburban low‐density suburban moderate suburban low‐density suburban moderate suburban low‐density suburban moderate suburban low‐density suburban large‐lot low‐density suburban large‐lot moderate suburban large‐lot low‐density suburban low‐density suburban low‐density suburban moderate suburban moderate suburban large‐lot moderate suburban large‐lot large‐lot low‐density suburban moderate suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban large‐lot low‐density suburban large‐lot large‐lot presence of a center contains single center no centers identified no centers identified no centers identified no centers identified contains multiple centers no centers identified contains single center no centers identified no centers identified no centers identified contains single center contains multiple centers contains single center contains single center contains single center contains single center center contains single center contains single center contains single center contains single center center contains single center contains single center contains single center contains multiple centers contains single center contains single center contains single center no centers identified no centers identified no centers identified no centers identified contains multiple centers contains single center contains single center contains single center road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ very low very high very high very high good low very high low good medium low medium very low low medium very low medium low medium medium medium low medium low medium very low very low low medium very low good medium good good very low low low low low medium medium none none low none medium none good good none low none low none low none none none low none none none none none none none none low medium excellent none none none none low low 8,421 18,392 1,579 1,156 3,684 26,535 1,205 7,656 8,417 54,717 8,049 1,395 8,165 7,707 44,464 919 62,300 418 682 15,311 5,801 606 841 5,565 15,147 3,847 1,998 19,722 3,610 23,943 14,756 15,817 2,369 2,681 1,952 2,514 3,339 6,651 1,910 5,185 710 561 723 8,643 703 2,075 2,876 16,272 2,649 360 2,367 1,894 11,823 292 15,979 121 234 4,170 2,091 162 249 1,845 3,583 1,122 558 4,693 847 5,290 4,599 4,911 649 647 601 601 954 1,713 22.7% 28.2% 45.0% 48.5% 19.6% 32.6% 58.3% 27.1% 34.2% 29.7% 32.9% 25.8% 29.0% 24.6% 26.6% 31.8% 25.6% 28.9% 34.3% 27.2% 36.0% 26.7% 29.6% 33.2% 23.7% 29.2% 27.9% 23.8% 23.5% 22.1% 31.2% 31.0% 27.4% 24.1% 30.8% 23.9% 28.6% 25.8% 11.3% 13.8% 18.2% 19.7% 10.8% 12.9% 19.8% 12.3% 13.9% 12.7% 14.2% 11.8% 14.9% 12.4% 11.9% 15.5% 12.0% 12.9% 15.8% 13.8% 14.9% 14.7% 12.8% 16.6% 13.8% 15.2% 16.2% 12.7% 13.1% 13.7% 12.6% 13.5% 11.8% 11.7% 16.1% 11.5% 13.6% 12.8% 10.2% 12.1% 22.2% 24.7% 8.0% 17.1% 32.3% 12.8% 16.4% 14.0% 14.1% 12.3% 12.6% 10.7% 11.9% 14.8% 11.7% 14.4% 16.0% 11.8% 17.0% 11.4% 13.7% 13.7% 9.0% 12.6% 10.4% 9.8% 9.4% 7.7% 14.8% 14.2% 12.8% 10.3% 13.1% 10.8% 12.9% 11.8% 1.2% 2.3% 4.5% 4.2% 0.8% 2.5% 6.3% 2.1% 3.9% 3.0% 4.7% 1.7% 1.5% 1.6% 2.8% 1.5% 1.9% 1.7% 2.5% 1.6% 4.1% 0.7% 3.1% 2.8% 0.8% 1.4% 1.4% 1.3% 0.9% 0.8% 3.7% 3.3% 2.8% 2.1% 1.6% 1.6% 2.0% 1.2% no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified low medium medium low medium medium medium medium medium very low low medium none none low none medium medium medium none medium medium medium medium 25,890 5,711 12,754 531 45,538 41,864 5,357 2,274 22,866 6,295 7,660 7,466 6,899 1,907 3,428 332 11,540 11,888 1,402 629 8,357 1,590 2,332 2,505 26.6% 33.4% 26.9% 62.5% 25.3% 28.4% 26.2% 27.7% 36.5% 25.3% 30.4% 33.6% 12.4% 13.4% 12.7% 5.5% 12.3% 12.3% 12.1% 12.8% 15.4% 12.1% 14.1% 13.1% 12.7% 16.1% 11.8% 26.2% 11.1% 14.0% 12.4% 13.6% 18.6% 12.0% 14.5% 17.4% 1.5% 4.0% 2.3% 30.9% 2.0% 2.1% 1.7% 1.2% 2.5% 1.2% 1.9% 3.1% municipalities not scoring well on any of the four metrics, but scoring in the middle of the pack on at least one: Bergen Bergen Bergen Bergen Burlington Burlington Camden Camden Cape May Cumberland Cumberland Essex Mahwah Norwood Oakland Rockleigh Evesham Twp. Mount Laurel Twp. Berlin Twp. Gibbsboro Lower Twp. Fairfield Twp. Upper Deerfield Twp. Fairfield ------------- ------------- ------------- ------------- 0 0 0 0 0 0 0 0 0 0 0 0 moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban low‐density suburban low‐density suburban large‐lot moderate suburban Page 8 of 11
  • 9. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Gloucester Gloucester Gloucester Gloucester Gloucester Gloucester Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Mercer Middlesex Middlesex Monmouth Monmouth Monmouth Monmouth Monmouth Morris Morris Morris Morris Passaic Salem Salem Salem Somerset Sussex Sussex Union Union municipality name Clayton East Greenwich Twp. Glassboro Logan Twp. Mantua Twp. Monroe Twp. Califon Clinton town Frenchtown Glen Gardner Lebanon borough Stockton East Windsor Twp. North Brunswick Twp. Sayreville Eatontown Freehold Twp. Manalapan Twp. Oceanport Rumson Denville Florham Park Montville Twp. Pequannock West Milford Twp. Mannington Twp. Pennsville Twp. Upper Pittsgrove Twp. Green Brook Franklin Hamburg Berkeley Heights Mountainside # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) ---------------------------------- ---------------------------------- ---------------------------------- ---------------------------------- 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 net activity density category low‐density suburban low‐density suburban moderate suburban low‐density suburban low‐density suburban low‐density suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban low‐density suburban low‐density suburban moderate suburban low‐density suburban moderate suburban moderate suburban low‐density suburban moderate suburban low‐density suburban large‐lot low‐density suburban large‐lot moderate suburban moderate suburban moderate suburban moderate suburban moderate suburban presence of a center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified ------------------ ------------------ ------------------ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 low‐density suburban large‐lot low‐density suburban low‐density suburban large‐lot low‐density suburban low‐density suburban low‐density suburban large‐lot low‐density suburban large‐lot low‐density suburban large‐lot low‐density suburban large‐lot large‐lot large‐lot no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ medium low medium low medium low medium medium medium medium medium low low medium medium medium low medium medium medium medium medium medium medium low very low low low medium medium medium medium medium medium medium medium medium medium medium none none none none none none none medium medium medium medium medium low medium low medium medium medium medium medium medium medium medium none none low medium 8,179 9,555 18,579 6,042 15,217 36,129 1,076 2,719 1,373 1,704 1,358 538 27,190 40,742 42,704 12,709 36,184 38,872 5,832 7,122 16,635 11,696 21,528 15,540 25,850 1,806 13,409 3,505 7,203 5,045 3,277 13,183 6,685 1,877 2,101 3,755 1,167 3,751 9,057 269 627 352 357 344 189 6,404 8,269 10,334 3,368 9,082 10,251 1,808 1,657 4,967 3,304 5,990 5,561 6,748 534 3,928 1,071 1,847 1,318 777 3,914 2,484 22.9% 22.0% 20.2% 19.3% 24.7% 25.1% 25.0% 23.1% 25.6% 21.0% 25.3% 35.1% 23.6% 20.3% 24.2% 26.5% 25.1% 26.4% 31.0% 23.3% 29.9% 28.2% 27.8% 35.8% 26.1% 29.6% 29.3% 30.6% 25.6% 26.1% 23.7% 29.7% 37.2% 12.7% 11.4% 9.5% 12.6% 11.9% 11.5% 15.4% 11.5% 14.3% 12.1% 12.2% 17.1% 12.0% 11.0% 12.1% 12.5% 12.1% 13.9% 14.9% 11.9% 14.1% 11.4% 13.3% 10.9% 13.5% 12.1% 13.7% 14.9% 12.2% 13.1% 12.0% 12.2% 13.4% 9.0% 9.1% 9.2% 6.1% 11.5% 11.9% 8.6% 10.3% 9.8% 7.6% 11.6% 16.4% 9.9% 8.2% 10.4% 11.9% 11.0% 10.4% 13.9% 9.9% 12.4% 13.9% 12.8% 17.3% 10.8% 13.7% 13.5% 13.5% 10.9% 11.3% 10.8% 13.7% 18.3% 1.3% 1.4% 1.5% 0.7% 1.3% 1.6% 1.0% 1.2% 1.5% 1.2% 1.6% 1.7% 1.7% 1.1% 1.7% 2.0% 2.0% 2.0% 2.2% 1.4% 3.3% 2.9% 1.8% 7.5% 1.8% 3.7% 2.1% 2.2% 2.5% 1.8% 0.9% 3.8% 5.4% low low medium medium medium low low low low low very low low very low low very low very low very low low none low none none low none low low none low low none low low none none 43,323 1,849 10,590 5,750 3,152 11,367 6,069 12,559 8,544 23,033 7,385 7,678 3,414 8,813 802 12 5 10,103 710 3,277 1,679 1,308 2,521 1,257 2,608 3,508 6,616 1,075 1,315 950 2,056 138 3 3 23.3% 38.4% 30.9% 29.2% 41.5% 22.2% 20.7% 20.8% 41.1% 28.7% 14.6% 17.1% 27.8% 23.3% 17.2% 25.0% 60.0% 12.5% 19.3% 14.5% 13.1% 17.0% 11.6% 12.0% 10.3% 13.2% 14.8% 10.8% 8.7% 14.6% 13.0% 9.4% 25.0% 0.0% 9.8% 17.1% 14.9% 13.8% 19.7% 9.3% 7.8% 8.8% 24.4% 11.6% 3.7% 7.7% 12.0% 9.2% 7.2% 0.0% 60.0% 1.0% 1.9% 1.6% 2.3% 4.7% 1.3% 0.9% 1.7% 3.5% 2.3% 0.1% 0.7% 1.3% 1.1% 0.6% 0.0% 0.0% municipalities scoring poorly on all four metrics: Atlantic Bergen Bergen Bergen Bergen Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Burlington Camden Camden Egg Harbor Twp. Alpine Franklin Lakes Old Tappan Saddle River Bordentown Twp. Eastampton Twp. Lumberton Twp. Mansfield Twp. Medford Twp. New Hanover Twp. North Hanover Twp. Springfield Twp. Westampton Twp. Wrightstown Pine Valley Tavistock ------------------ Page 9 of 11
  • 10. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Cumberland Cumberland Cumberland Cumberland Cumberland Cumberland Gloucester Gloucester Gloucester Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Hunterdon Mercer Mercer Middlesex Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Monmouth Morris Morris Morris Morris Morris Morris Morris Morris Morris Morris Morris Morris Morris Morris Morris Ocean Passaic municipality name Deerfield Twp. Downe Twp. Greenwich Twp. Hopewell Twp. Shiloh Stow Creek Twp. Elk Twp. Franklin Twp. South Harrison Twp. Alexandria Twp. Bethlehem Twp. Bloomsbury Clinton Twp. Delaware Twp. East Amwell Twp. Franklin Twp. Hampton High Bridge Holland Twp. Kingwood Twp. Lebanon Twp. Raritan Twp. Readington Twp. Tewksbury Twp. Union Twp. West Amwell Twp. Hopewell Twp. West Windsor Twp. Monroe Twp. Colts Neck Twp. Holmdel Howell Twp. Marlboro Twp. Middletown Twp. Millstone Twp. Roosevelt Tinton Falls Upper Freehold Twp. Wall Twp. Boonton Twp. Chatham Twp. Chester borough Chester Twp. Harding Twp. Jefferson Twp. Kinnelon Long Hill Twp. Mendham Twp. Mine Hill Twp. Morris Twp. Mount Olive Twp. Randolph Twp. Rockaway Twp. Roxbury Twp. Mantoloking Ringwood # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) --------------------------------------------------------- --------------------------------------------------------- --------------------------------------------------------- --------------------------------------------------------- 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 net activity density category large‐lot large‐lot large‐lot large‐lot low‐density suburban large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot low‐density suburban large‐lot large‐lot large‐lot large‐lot low‐density suburban low‐density suburban large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot low‐density suburban low‐density suburban large‐lot low‐density suburban low‐density suburban low‐density suburban low‐density suburban large‐lot low‐density suburban low‐density suburban large‐lot low‐density suburban large‐lot low‐density suburban low‐density suburban large‐lot large‐lot low‐density suburban low‐density suburban low‐density suburban large‐lot low‐density suburban low‐density suburban low‐density suburban low‐density suburban low‐density suburban low‐density suburban large‐lot low‐density suburban Page 10 of 11 presence of a center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified road  2010  density  bus access  Census  population  category level population 55+ % 55+ % 55 to 64 % 65 to 84 % 85+ low very low very low low low low low low low low low medium low low very low very low medium medium low very low low low low low low very low low medium low low medium low medium medium low low low very low medium low medium medium low low low low low low medium medium low medium low medium medium low 27.3% 37.4% 37.8% 34.1% 29.5% 34.0% 25.1% 23.4% 23.1% 29.3% 24.8% 20.0% 24.0% 35.5% 32.9% 30.3% 26.9% 21.4% 30.4% 28.5% 29.8% 25.0% 28.5% 33.2% 23.1% 23.8% 28.6% 22.1% 48.2% 26.5% 30.5% 21.9% 24.2% 28.0% 21.9% 32.7% 36.9% 28.2% 31.2% 32.8% 27.7% 30.7% 26.5% 38.0% 23.5% 26.7% 27.9% 27.4% 25.1% 31.1% 19.6% 21.9% 27.3% 26.2% 80.7% 26.0% 14.1% 16.9% 19.8% 13.5% 14.0% 16.4% 13.1% 12.9% 12.6% 16.7% 15.1% 10.8% 13.4% 19.4% 18.8% 15.0% 13.5% 12.8% 14.4% 15.6% 14.7% 13.0% 15.0% 16.9% 13.5% 12.4% 14.4% 11.3% 13.4% 13.0% 14.2% 11.9% 12.9% 14.0% 13.8% 18.9% 11.4% 14.3% 14.2% 14.8% 12.6% 13.1% 13.3% 17.0% 12.7% 14.5% 13.2% 14.9% 12.9% 13.6% 10.6% 12.6% 13.1% 13.6% 33.1% 14.7% 11.4% 18.2% 15.7% 16.5% 13.6% 15.5% 10.5% 9.4% 9.6% 10.9% 9.0% 7.9% 9.6% 14.4% 12.3% 13.3% 12.0% 7.8% 14.0% 10.9% 13.3% 9.9% 12.0% 15.0% 9.0% 10.5% 12.3% 9.3% 27.7% 12.0% 13.5% 8.6% 9.9% 11.9% 7.2% 11.7% 16.3% 13.0% 14.2% 13.8% 12.2% 14.8% 12.0% 18.4% 9.8% 11.2% 13.0% 11.3% 10.4% 14.7% 7.9% 8.3% 12.7% 11.0% 44.3% 10.3% 1.8% 2.2% 2.4% 4.2% 1.9% 2.1% 1.6% 1.2% 0.9% 1.7% 0.7% 1.3% 1.1% 1.8% 1.8% 2.0% 1.4% 0.8% 2.0% 2.0% 1.8% 2.2% 1.5% 1.3% 0.6% 0.9% 1.8% 1.4% 7.1% 1.5% 2.8% 1.4% 1.4% 2.1% 0.9% 2.0% 9.3% 1.0% 2.8% 4.2% 3.0% 2.9% 1.2% 2.6% 1.0% 1.0% 1.7% 1.2% 1.9% 2.8% 1.1% 0.9% 1.5% 1.6% 3.4% 1.1% none none none none none none low low none none none none none none none none none none none none none low none none none none none low low low none low low low none none low none low none none none none none none low none none none low none low low low none low 3,119 1,585 804 4,571 516 1,431 4,216 16,820 3,162 4,938 3,979 870 13,478 4,563 4,013 3,195 1,401 3,648 5,291 3,845 6,588 22,185 16,126 5,993 5,908 3,840 17,304 27,165 39,132 10,142 16,773 51,075 40,191 66,522 10,566 882 17,892 6,902 26,164 4,263 10,452 1,649 7,838 3,838 21,314 10,248 8,702 5,869 3,651 22,306 28,117 25,734 24,156 23,324 296 12,228 850 592 304 1,559 152 486 1,060 3,942 729 1,445 988 174 3,238 1,619 1,321 969 377 781 1,609 1,095 1,966 5,547 4,603 1,989 1,365 912 4,942 6,003 18,862 2,691 5,118 11,178 9,741 18,616 2,314 288 6,605 1,949 8,175 1,399 2,897 507 2,078 1,459 5,001 2,738 2,426 1,607 917 6,928 5,499 5,628 6,583 6,102 239 3,180
  • 11. Places To Age in New Jersey Individual Municipal Scores on Four Metrics of Aging‐Friendliness scoring well on aging-friendliness metrics: county Salem Salem Salem Salem Salem Salem Salem Somerset Somerset Somerset Somerset Somerset Sussex Sussex Sussex Sussex Sussex Sussex Sussex Sussex Sussex Sussex Sussex Warren Warren Warren Warren Warren Warren Warren Warren Warren Warren Warren Warren Warren municipality name Alloway Twp. Elsinboro Twp. Lower Alloways Creek Twp. Oldmans Twp. Pilesgrove Twp. Pittsgrove Twp. Quinton Twp. Bernards Twp. Branchburg Twp. Hillsborough Twp. Montgomery Twp. Peapack and Gladstone Andover Twp. Byram Twp. Fredon Twp. Green Twp. Hampton Twp. Hardyston Twp. Lafayette Twp. Ogdensburg Stillwater Twp. Walpack Twp. Wantage Twp. Allamuchy Twp. Blairstown Twp. Franklin Twp. Frelinghuysen Twp. Greenwich Twp. Hardwick Twp. Harmony Twp. Independence Twp. Knowlton Twp. Liberty Twp. Lopatcong Twp. Mansfield Twp. White Twp. # of  compactness  contains  local road  bus stop  density  density  metrics  (top 3 net  at least  activity density  one  "good" or  "good" or  scoring  better well center better categories) ------------------------------------- ------------------------------------- ------------------------------------- ------------------------------------- 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 road  2010  density  bus access  Census  population  category level population 55+ low low very low very low low low very low low medium low low low low low low low very low very low low medium low very low low very low low low very low low very low low low low low medium low very low Page 11 of 11 presence of a center no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified no centers identified none none none low low none none none low low low none none none none none none low none none none none none none none low none low none none none none none low low none % 55+ % 55 to 64 % 65 to 84 % 85+ 3,467 1,036 1,770 1,773 4,016 9,393 2,666 26,652 14,459 38,303 22,254 2,582 6,319 8,350 3,437 3,601 5,196 8,213 2,538 2,410 4,099 16 11,358 4,323 5,967 3,176 2,230 5,712 1,696 2,667 5,662 3,055 2,942 8,014 7,725 4,882 864 385 551 490 1,447 2,556 789 6,870 3,504 8,392 4,606 643 2,018 2,033 967 875 1,604 2,434 735 589 1,168 9 2,932 1,476 1,833 844 758 971 468 832 1,396 817 691 2,404 1,931 2,150 24.9% 37.2% 31.1% 27.6% 36.0% 27.2% 29.6% 25.8% 24.2% 21.9% 20.7% 24.9% 31.9% 24.3% 28.1% 24.3% 30.9% 29.6% 29.0% 24.4% 28.5% 56.3% 25.8% 34.1% 30.7% 26.6% 34.0% 17.0% 27.6% 31.2% 24.7% 26.7% 23.5% 30.0% 25.0% 44.0% 13.1% 16.8% 13.8% 14.2% 15.0% 14.7% 13.4% 12.3% 13.2% 12.6% 10.8% 12.9% 15.9% 14.3% 14.5% 13.5% 16.1% 15.1% 16.2% 13.0% 17.3% 31.3% 14.0% 16.6% 15.2% 14.4% 16.2% 10.6% 15.0% 15.1% 13.8% 14.1% 13.9% 11.9% 12.2% 15.2% 10.8% 18.1% 15.4% 12.0% 15.5% 10.9% 14.1% 10.9% 10.0% 7.9% 8.2% 10.5% 13.3% 9.4% 12.4% 9.5% 13.5% 13.2% 11.5% 10.2% 9.9% 18.8% 10.7% 15.8% 13.6% 10.7% 13.5% 5.7% 11.1% 13.7% 10.0% 11.3% 8.4% 14.2% 10.4% 24.6% 1.1% 2.2% 1.9% 1.4% 5.5% 1.6% 2.1% 2.6% 1.1% 1.3% 1.7% 1.5% 2.7% 0.7% 1.2% 1.2% 1.3% 1.4% 1.3% 1.2% 1.3% 6.3% 1.1% 1.7% 1.9% 1.4% 4.3% 0.8% 1.5% 2.4% 0.9% 1.4% 1.2% 3.9% 2.4% 4.3% 8,791,894 net activity density category large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot low‐density suburban low‐density suburban low‐density suburban low‐density suburban low‐density suburban large‐lot low‐density suburban large‐lot large‐lot large‐lot large‐lot large‐lot low‐density suburban large‐lot large‐lot large‐lot low‐density suburban large‐lot large‐lot large‐lot large‐lot large‐lot large‐lot low‐density suburban large‐lot large‐lot low‐density suburban low‐density suburban large‐lot 2,232,158 25.4% 11.9% 11.4% 2.0%