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USA.com / Ranks / Connecticut $10K or Less Household Income Percentage Zip Code Rank / Based on ACS 2008-2012 data*

Connecticut $10K or Less Household Income Percentage Zip Code Rank

Based on ACS 2008-2012 data*

A total of 248 results found. Show Results on Map.

Rank$10K or Less Household Income Percentage ▼Zip / Population
1.43.0%06702 / 3,431
2.28.6%06120 / 13,092
3.24.2%06519 / 16,045
4.22.7%06510 / 2,496
5.22.6%06608 / 13,772
6.21.4%06106 / 37,516
7.19.6%06105 / 20,759
8.17.6%06607 / 7,533
9.17.6%06112 / 22,578
10.16.5%06710 / 10,371
11.14.9%06604 / 28,764
12.14.8%06511 / 54,837
13.14.3%06610 / 22,049
14.13.9%06051 / 30,568
14.13.9%06226 / 19,578
16.13.9%06262 / 567
17.13.3%06332 / 260
18.12.9%06704 / 24,832
19.12.8%06605 / 23,603
20.12.7%06901 / 7,435
21.12.2%06513 / 38,749
22.12.0%06785 / 809
23.12.0%06114 / 28,656
24.11.9%06268 / 11,044
25.11.8%06854 / 25,788
26.10.2%06108 / 24,173
27.9.9%06481 / 946
28.9.7%06515 / 17,780
29.9.5%06706 / 14,738
30.9.4%06103 / 1,325
31.9.3%06119 / 14,965
31.9.3%06750 / 1,251
33.8.8%06118 / 26,998
34.8.7%06705 / 26,838
35.8.5%06708 / 29,875
36.8.4%06758 / 435
37.8.3%06255 / 4,852
38.8.1%06320 / 27,675
39.8.1%06756 / 2,803
40.8.0%06401 / 19,188
41.8.0%06606 / 48,725
42.7.9%06234 / 8,194
43.7.9%06053 / 34,893
44.7.9%06279 / 6,042
45.7.1%06770 / 31,907
46.7.1%06615 / 18,145
47.7.1%06260 / 9,516
48.6.7%06021 / 345
49.6.6%06360 / 37,295
50.6.5%06340 / 31,594
51.6.4%06451 / 23,918
52.6.3%06380 / 2,909
53.6.3%06418 / 12,858
54.6.2%06790 / 36,152
55.6.1%06018 / 2,690
56.6.0%06450 / 36,756
57.6.0%06457 / 47,530
58.6.0%06052 / 7,661
58.6.0%06365 / 4,736
60.5.5%06002 / 20,470
61.5.4%06514 / 26,917
62.5.4%06040 / 35,974
63.5.3%06902 / 65,817
64.5.3%06098 / 12,255
65.5.3%06516 / 55,386
66.5.2%06010 / 60,478
67.5.1%06518 / 19,135
68.5.1%06058 / 1,554
69.5.1%06483 / 16,487
69.5.1%06110 / 12,690
71.5.1%06076 / 12,771
72.5.0%06810 / 49,146
73.5.0%06896 / 9,049
74.4.7%06016 / 6,332
75.4.7%06778 / 1,363
76.4.6%06069 / 2,478
76.4.6%06239 / 10,941
78.4.6%06851 / 28,616
79.4.4%06354 / 5,973
80.4.4%06351 / 16,262
81.4.4%06109 / 26,670
82.4.3%06066 / 29,188
83.4.3%06096 / 12,500
83.4.3%06426 / 3,228
85.4.2%06062 / 17,726
86.4.2%06403 / 5,946
87.4.2%06117 / 17,951
88.4.1%06405 / 27,952
88.4.1%06796 / 984
90.4.0%06794 / 1,188
91.4.0%06907 / 8,185
92.3.9%06807 / 6,854
93.3.9%06409 / 728
94.3.9%06475 / 10,268
95.3.9%06855 / 7,047
96.3.9%06850 / 20,120
97.3.8%06479 / 10,585
98.3.8%06385 / 15,395
98.3.8%06065 / 1,015
100.3.8%06082 / 44,699
100.3.8%06241 / 6,861
102.3.7%06085 / 7,020
103.3.7%06777 / 1,616
104.3.7%06782 / 2,379
105.3.6%06759 / 6,081
106.3.6%06787 / 7,865
107.3.5%06783 / 2,313
107.3.5%06437 / 22,353
109.3.5%06811 / 31,914
110.3.5%06830 / 24,315
111.3.5%06906 / 8,499
112.3.4%06825 / 20,648
112.3.4%06492 / 45,168
114.3.3%06250 / 5,908
114.3.3%06281 / 7,092
116.3.3%06107 / 18,551
116.3.3%06890 / 4,429
118.3.3%06517 / 14,683
119.3.2%06614 / 33,295
120.3.2%06512 / 29,016
120.3.2%06027 / 1,481
122.3.2%06471 / 7,663
123.3.2%06424 / 12,456
124.3.1%06877 / 24,747
124.3.1%06460 / 37,953
126.3.1%06611 / 36,008
127.3.1%06026 / 4,929
128.3.1%06880 / 26,790
129.3.0%06032 / 17,880
130.3.0%06716 / 16,638
131.3.0%06078 / 12,395
132.3.0%06442 / 2,726
133.3.0%06359 / 5,309
134.2.9%06024 / 768
135.2.9%06754 / 1,846
135.2.9%06498 / 6,980
137.2.9%06763 / 2,029
138.2.9%06330 / 3,395
138.2.9%06378 / 5,366
140.2.8%06019 / 10,149
140.2.8%06375 / 4,276
142.2.8%06412 / 4,090
143.2.8%06795 / 14,084
144.2.8%06798 / 9,934
145.2.8%06488 / 19,841
146.2.8%06791 / 5,752
147.2.7%06377 / 2,878
148.2.7%06712 / 9,450
149.2.7%06820 / 20,758
150.2.7%06762 / 7,522
151.2.6%06776 / 26,750
151.2.6%06370 / 7,306
153.2.6%06473 / 24,200
154.2.6%06001 / 18,410
155.2.6%06111 / 30,520
156.2.6%06256 / 2,523
157.2.6%06410 / 29,132
157.2.6%06277 / 3,913
159.2.5%06468 / 19,529
160.2.5%06278 / 4,386
161.2.5%06042 / 22,104
162.2.5%06489 / 32,217
163.2.4%06089 / 2,733
163.2.4%06070 / 15,116
165.2.4%06824 / 34,374
165.2.4%06840 / 19,794
167.2.4%06331 / 5,111
168.2.3%06484 / 39,641
168.2.3%06074 / 25,684
170.2.3%06793 / 1,111
171.2.3%06088 / 4,864
172.2.3%06067 / 19,631
173.2.3%06379 / 9,196
173.2.3%06382 / 11,795
175.2.2%06081 / 1,415
176.2.2%06374 / 8,497
177.2.2%06779 / 8,377
178.2.2%06469 / 3,535
178.2.2%06071 / 11,598
180.2.2%06037 / 18,970
181.2.2%06441 / 5,330
181.2.2%06470 / 16,237
183.2.2%06248 / 5,595
184.2.1%06831 / 14,526
185.2.1%06357 / 12,683
185.2.1%06095 / 29,088
187.2.1%06784 / 3,803
188.2.1%06084 / 15,063
188.2.1%06461 / 14,873
190.2.1%06416 / 14,059
191.2.1%06237 / 5,464
192.2.0%06415 / 16,532
192.2.0%06073 / 5,838
192.2.0%06482 / 11,306
195.2.0%06031 / 1,273
196.2.0%06231 / 4,054
197.1.9%06878 / 8,571
197.1.9%06477 / 13,919
199.1.9%06757 / 2,162
200.1.9%06801 / 18,673
201.1.9%06786 / 9,814
202.1.9%06413 / 13,207
203.1.8%06334 / 2,592
203.1.8%06905 / 18,356
205.1.8%06013 / 9,317
206.1.7%06057 / 6,704
207.1.7%06480 / 9,500
208.1.7%06249 / 7,289
208.1.7%06417 / 4,636
210.1.6%06423 / 5,087
211.1.6%06238 / 12,445
212.1.5%06751 / 3,528
212.1.5%06870 / 7,268
214.1.5%06232 / 3,185
215.1.5%06883 / 10,203
216.1.4%06033 / 28,563
217.1.4%06612 / 7,501
218.1.4%06333 / 6,485
219.1.4%06371 / 9,843
220.1.3%06254 / 1,984
221.1.3%06804 / 16,515
222.1.3%06897 / 18,343
223.1.3%06355 / 12,499
224.1.3%06092 / 4,271
225.1.2%06035 / 7,697
226.1.2%06853 / 3,975
227.1.2%06472 / 6,816
227.1.2%06043 / 4,990
229.1.2%06235 / 2,324
230.1.2%06422 / 7,368
230.1.2%06525 / 8,990
232.1.1%06339 / 8,373
233.0.8%06280 / 2,899
234.0.8%06478 / 12,602
234.0.8%06384 / 2,777
236.0.8%06903 / 14,480
237.0.7%06247 / 2,732
238.0.7%06455 / 3,480
238.0.7%06524 / 5,524
240.0.7%06029 / 15,466
241.0.7%06812 / 13,932
242.0.7%06259 / 4,473
243.0.7%06420 / 4,161
244.0.6%06443 / 18,264
245.0.4%06752 / 1,704
246.0.4%06242 / 1,448
247.0.3%06063 / 3,185
248.0.3%06447 / 6,382

Please note that we only rank locations with '$10K or Less Household Income Percentage' data. The rank above might not be a complete list. Locations without '$10K or Less Household Income Percentage' 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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