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USA.com / Ranks / Connecticut Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000 Zip Code Rank / Based on ACS 2008-2012 data*

Connecticut Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000 Zip Code Rank

Based on ACS 2008-2012 data*

A total of 241 results found. Show Results on Map.

RankPercentage of House with a Mortgage where Monthly Holding Costs $700-$1000 ▼Zip / Population
1.61.3%06061 / 220
2.43.8%06266 / 693
3.36.1%06332 / 260
4.25.6%06024 / 768
5.25.0%06022 / 94
6.20.1%06081 / 1,415
7.18.9%06264 / 154
8.18.7%06256 / 2,523
9.17.4%06018 / 2,690
10.14.8%06262 / 567
11.13.7%06120 / 13,092
12.13.6%06112 / 22,578
13.13.5%06750 / 1,251
14.12.4%06331 / 5,111
15.12.0%06330 / 3,395
16.10.5%06384 / 2,777
17.10.0%06704 / 24,832
18.9.6%06242 / 1,448
19.9.3%06610 / 22,049
20.9.1%06096 / 12,500
21.8.8%06705 / 26,838
22.8.7%06051 / 30,568
23.8.4%06374 / 8,497
24.8.4%06277 / 3,913
25.8.2%06608 / 13,772
26.7.8%06114 / 28,656
27.7.5%06451 / 23,918
28.7.5%06320 / 27,675
28.7.5%06481 / 946
30.7.4%06105 / 20,759
30.7.4%06268 / 11,044
32.7.4%06751 / 3,528
33.7.4%06106 / 37,516
34.7.3%06239 / 10,941
34.7.3%06778 / 1,363
36.7.3%06234 / 8,194
37.7.3%06712 / 9,450
38.7.2%06790 / 36,152
39.7.0%06027 / 1,481
40.6.8%06409 / 728
41.6.8%06787 / 7,865
42.6.6%06068 / 1,582
43.6.5%06085 / 7,020
44.6.4%06786 / 9,814
45.6.4%06357 / 12,683
46.6.4%06379 / 9,196
47.6.3%06450 / 36,756
47.6.3%06385 / 15,395
49.6.3%06763 / 2,029
50.6.3%06498 / 6,980
51.6.2%06260 / 9,516
52.6.1%06255 / 4,852
53.5.9%06019 / 10,149
54.5.9%06063 / 3,185
55.5.7%06758 / 435
56.5.7%06779 / 8,377
57.5.7%06795 / 14,084
58.5.6%06076 / 12,771
58.5.6%06118 / 26,998
60.5.6%06016 / 6,332
61.5.5%06058 / 1,554
62.5.5%06111 / 30,520
63.5.5%06249 / 7,289
64.5.4%06095 / 29,088
64.5.4%06082 / 44,699
66.5.4%06254 / 1,984
66.5.4%06479 / 10,585
68.5.3%06108 / 24,173
69.5.3%06798 / 9,934
70.5.2%06010 / 60,478
71.5.1%06334 / 2,592
72.5.1%06281 / 7,092
73.5.1%06062 / 17,726
74.5.1%06226 / 19,578
75.5.0%06370 / 7,306
76.5.0%06053 / 34,893
77.5.0%06360 / 37,295
77.5.0%06417 / 4,636
79.5.0%06110 / 12,690
80.4.9%06455 / 3,480
81.4.9%06259 / 4,473
82.4.9%06489 / 32,217
83.4.9%06708 / 29,875
84.4.8%06365 / 4,736
84.4.8%06042 / 22,104
86.4.8%06793 / 1,111
87.4.7%06405 / 27,952
88.4.7%06511 / 54,837
89.4.7%06238 / 12,445
90.4.7%06340 / 31,594
91.4.6%06339 / 8,373
92.4.6%06069 / 2,478
93.4.5%06351 / 16,262
94.4.5%06901 / 7,435
95.4.5%06039 / 1,970
96.4.5%06354 / 5,973
97.4.5%06002 / 20,470
97.4.5%06067 / 19,631
99.4.4%06794 / 1,188
100.4.4%06457 / 47,530
101.4.4%06519 / 16,045
102.4.3%06066 / 29,188
103.4.2%06614 / 33,295
104.4.2%06241 / 6,861
105.4.2%06109 / 26,670
106.4.1%06492 / 45,168
106.4.1%06512 / 29,016
108.4.1%06040 / 35,974
109.4.0%06475 / 10,268
110.4.0%06023 / 1,004
110.4.0%06119 / 14,965
112.4.0%06413 / 13,207
113.4.0%06754 / 1,846
114.4.0%06604 / 28,764
115.3.9%06371 / 9,843
116.3.9%06460 / 37,953
117.3.9%06420 / 4,161
117.3.9%06513 / 38,749
119.3.8%06471 / 7,663
120.3.8%06071 / 11,598
121.3.8%06247 / 2,732
122.3.7%06516 / 55,386
123.3.6%06280 / 2,899
124.3.5%06057 / 6,704
125.3.5%06770 / 31,907
126.3.4%06710 / 10,371
127.3.4%06235 / 2,324
127.3.4%06074 / 25,684
129.3.3%06232 / 3,185
130.3.3%06791 / 5,752
130.3.3%06757 / 2,162
132.3.3%06335 / 6,608
132.3.3%06333 / 6,485
134.3.3%06776 / 26,750
134.3.3%06483 / 16,487
136.3.3%06706 / 14,738
136.3.3%06716 / 16,638
138.3.2%06756 / 2,803
139.3.1%06515 / 17,780
140.3.1%06250 / 5,908
141.3.0%06461 / 14,873
142.3.0%06035 / 7,697
143.3.0%06013 / 9,317
144.3.0%06278 / 4,386
145.2.9%06355 / 12,499
146.2.9%06605 / 23,603
147.2.9%06854 / 25,788
148.2.9%06359 / 5,309
148.2.9%06037 / 18,970
150.2.9%06378 / 5,366
151.2.9%06382 / 11,795
152.2.8%06762 / 7,522
152.2.8%06784 / 3,803
154.2.8%06514 / 26,917
155.2.8%06052 / 7,661
155.2.8%06607 / 7,533
157.2.8%06380 / 2,909
158.2.7%06029 / 15,466
159.2.7%06032 / 17,880
160.2.7%06093 / 3,297
161.2.7%06473 / 24,200
162.2.7%06615 / 18,145
163.2.6%06804 / 16,515
164.2.5%06812 / 13,932
165.2.5%06782 / 2,379
166.2.5%06031 / 1,273
167.2.5%06412 / 4,090
167.2.5%06517 / 14,683
169.2.5%06484 / 39,641
169.2.5%06001 / 18,410
169.2.5%06488 / 19,841
169.2.5%06422 / 7,368
173.2.4%06830 / 24,315
174.2.3%06279 / 6,042
174.2.3%06442 / 2,726
176.2.3%06438 / 2,764
176.2.3%06855 / 7,047
178.2.3%06401 / 19,188
179.2.3%06416 / 14,059
180.2.2%06084 / 15,063
181.2.2%06088 / 4,864
182.2.2%06472 / 6,816
182.2.2%06443 / 18,264
184.2.2%06418 / 12,858
184.2.2%06478 / 12,602
186.2.2%06117 / 17,951
187.2.2%06811 / 31,914
188.2.1%06078 / 12,395
189.2.1%06518 / 19,135
190.2.1%06415 / 16,532
190.2.1%06426 / 3,228
192.2.0%06437 / 22,353
193.2.0%06424 / 12,456
194.2.0%06606 / 48,725
195.1.9%06851 / 28,616
196.1.9%06480 / 9,500
197.1.9%06752 / 1,704
198.1.9%06403 / 5,946
199.1.9%06907 / 8,185
200.1.9%06375 / 4,276
201.1.7%06033 / 28,563
202.1.6%06777 / 1,616
203.1.6%06231 / 4,054
204.1.5%06469 / 3,535
205.1.5%06824 / 34,374
206.1.5%06482 / 11,306
206.1.5%06810 / 49,146
208.1.4%06423 / 5,087
209.1.4%06107 / 18,551
209.1.4%06902 / 65,817
211.1.4%06089 / 2,733
211.1.4%06801 / 18,673
213.1.4%06377 / 2,878
214.1.3%06820 / 20,758
215.1.3%06906 / 8,499
216.1.1%06441 / 5,330
216.1.1%06410 / 29,132
218.1.1%06880 / 26,790
218.1.1%06611 / 36,008
220.1.0%06903 / 14,480
221.1.0%06477 / 13,919
222.1.0%06026 / 4,929
223.0.9%06896 / 9,049
224.0.9%06237 / 5,464
225.0.9%06419 / 6,512
226.0.9%06796 / 984
227.0.8%06092 / 4,271
228.0.8%06870 / 7,268
229.0.8%06825 / 20,648
230.0.7%06759 / 6,081
231.0.7%06043 / 4,990
232.0.6%06073 / 5,838
233.0.6%06060 / 2,532
234.0.6%06850 / 20,120
234.0.6%06905 / 18,356
236.0.5%06877 / 24,747
237.0.4%06070 / 15,116
238.0.4%06807 / 6,854
239.0.3%06897 / 18,343
240.0.3%06098 / 12,255
241.0.1%06470 / 16,237

Please note that we only rank locations with 'Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000' data. The rank above might not be a complete list. Locations without 'Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000' data are not listed.

*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.

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