	Zip Code	Inequality / Gini Index	vs State	vs National
1.	12471	0.81	0.51(+0.293)#1	0.48(+0.325)#3
2.	14302	0.80	0.51(+0.286)#2	0.48(+0.318)#5
3.	11005	0.76	0.51(+0.246)#3	0.48(+0.278)#12
4.	11970	0.71	0.51(+0.195)#4	0.48(+0.227)#43
5.	11962	0.66	0.51(+0.151)#5	0.48(+0.183)#97
6.	13607	0.66	0.51(+0.143)#6	0.48(+0.175)#110
7.	14722	0.64	0.51(+0.131)#7	0.48(+0.163)#137
8.	14604	0.64	0.51(+0.123)#8	0.48(+0.155)#159
9.	13355	0.64	0.51(+0.121)#9	0.48(+0.153)#163
10.	12406	0.63	0.51(+0.114)#10	0.48(+0.146)#190
11.	10013	0.63	0.51(+0.113)#11	0.48(+0.145)#196
12.	10029	0.62	0.51(+0.110)#12	0.48(+0.142)#206
13.	10507	0.62	0.51(+0.110)#13	0.48(+0.142)#209
14.	10075	0.62	0.51(+0.108)#14	0.48(+0.140)#218
15.	11957	0.62	0.51(+0.104)#15	0.48(+0.136)#242
16.	14605	0.61	0.51(+0.101)#16	0.48(+0.133)#257
17.	10035	0.61	0.51(+0.100)#17	0.48(+0.132)#263
18.	12779	0.61	0.51(+0.093)#18	0.48(+0.125)#295
19.	10518	0.61	0.51(+0.092)#19	0.48(+0.124)#301
20.	12442	0.60	0.51(+0.091)#20	0.48(+0.123)#311
21.	12955	0.60	0.51(+0.089)#21	0.48(+0.121)#330
22.	12461	0.60	0.51(+0.088)#22	0.48(+0.120)#332
23.	11559	0.60	0.51(+0.086)#23	0.48(+0.118)#347
24.	12116	0.59	0.51(+0.080)#24	0.48(+0.112)#390
25.	10002	0.59	0.51(+0.078)#25	0.48(+0.110)#400
26.	10025	0.59	0.51(+0.078)#26	0.48(+0.110)#401
27.	13202	0.59	0.51(+0.078)#27	0.48(+0.110)#403
28.	10019	0.59	0.51(+0.077)#28	0.48(+0.109)#420
29.	11968	0.59	0.51(+0.077)#29	0.48(+0.109)#421
30.	14783	0.59	0.51(+0.076)#30	0.48(+0.108)#430
31.	12419	0.59	0.51(+0.074)#31	0.48(+0.106)#452
32.	10030	0.59	0.51(+0.072)#32	0.48(+0.104)#463
33.	12410	0.59	0.51(+0.072)#33	0.48(+0.104)#468
34.	14202	0.58	0.51(+0.071)#34	0.48(+0.103)#476
35.	12498	0.58	0.51(+0.071)#35	0.48(+0.103)#478
36.	10027	0.58	0.51(+0.071)#36	0.48(+0.103)#480
37.	14754	0.58	0.51(+0.063)#37	0.48(+0.095)#559
38.	10024	0.58	0.51(+0.061)#38	0.48(+0.093)#572
39.	13901	0.57	0.51(+0.061)#39	0.48(+0.093)#585
40.	12732	0.57	0.51(+0.059)#40	0.48(+0.091)#605
41.	10964	0.57	0.51(+0.056)#41	0.48(+0.088)#637
42.	12545	0.57	0.51(+0.056)#42	0.48(+0.088)#648
43.	12207	0.57	0.51(+0.054)#43	0.48(+0.086)#679
44.	12529	0.57	0.51(+0.054)#44	0.48(+0.086)#680
45.	10987	0.57	0.51(+0.054)#45	0.48(+0.086)#683
46.	13740	0.57	0.51(+0.053)#46	0.48(+0.086)#698
47.	10023	0.57	0.51(+0.053)#47	0.48(+0.085)#705
48.	11978	0.57	0.51(+0.053)#48	0.48(+0.085)#712
49.	10012	0.57	0.51(+0.052)#49	0.48(+0.084)#728
50.	10069	0.57	0.51(+0.051)#50	0.48(+0.083)#730
51.	10009	0.56	0.51(+0.051)#51	0.48(+0.083)#738
52.	10022	0.56	0.51(+0.048)#52	0.48(+0.080)#781
53.	10128	0.56	0.51(+0.046)#53	0.48(+0.078)#836
54.	12466	0.56	0.51(+0.045)#54	0.48(+0.078)#843
55.	10021	0.56	0.51(+0.045)#55	0.48(+0.077)#845
56.	14748	0.56	0.51(+0.045)#56	0.48(+0.077)#849
57.	11935	0.56	0.51(+0.044)#57	0.48(+0.076)#866
58.	10026	0.56	0.51(+0.044)#58	0.48(+0.076)#873
59.	11224	0.56	0.51(+0.043)#59	0.48(+0.075)#890
60.	12833	0.56	0.51(+0.043)#60	0.48(+0.075)#892
61.	11944	0.56	0.51(+0.043)#61	0.48(+0.075)#898
62.	10037	0.56	0.51(+0.042)#62	0.48(+0.074)#913
63.	10010	0.56	0.51(+0.042)#63	0.48(+0.074)#917
64.	10708	0.56	0.51(+0.041)#64	0.48(+0.073)#943
65.	12592	0.56	0.51(+0.041)#65	0.48(+0.073)#945
66.	11231	0.56	0.51(+0.041)#66	0.48(+0.073)#948
67.	11963	0.55	0.51(+0.041)#67	0.48(+0.073)#958
68.	10595	0.55	0.51(+0.040)#68	0.48(+0.072)#987
69.	10003	0.55	0.51(+0.039)#69	0.48(+0.071)#992
70.	11548	0.55	0.51(+0.039)#70	0.48(+0.071)#1,001
71.	13152	0.55	0.51(+0.039)#71	0.48(+0.071)#1,004
72.	10001	0.55	0.51(+0.039)#72	0.48(+0.071)#1,006
73.	13697	0.55	0.51(+0.038)#73	0.48(+0.071)#1,008
74.	13621	0.55	0.51(+0.038)#74	0.48(+0.070)#1,023
75.	12747	0.55	0.51(+0.037)#75	0.48(+0.070)#1,028
76.	12307	0.55	0.51(+0.037)#76	0.48(+0.069)#1,044
77.	10454	0.55	0.51(+0.036)#77	0.48(+0.068)#1,052
78.	14903	0.55	0.51(+0.034)#78	0.48(+0.066)#1,116
79.	10011	0.55	0.51(+0.033)#79	0.48(+0.065)#1,136
80.	13076	0.55	0.51(+0.033)#80	0.48(+0.065)#1,137
81.	14207	0.55	0.51(+0.032)#81	0.48(+0.064)#1,153
82.	11937	0.55	0.51(+0.032)#82	0.48(+0.064)#1,170
83.	10451	0.54	0.51(+0.031)#83	0.48(+0.063)#1,194
84.	12117	0.54	0.51(+0.031)#84	0.48(+0.063)#1,199
85.	14303	0.54	0.51(+0.030)#85	0.48(+0.062)#1,210
86.	13410	0.54	0.51(+0.030)#86	0.48(+0.062)#1,223
87.	11545	0.54	0.51(+0.029)#87	0.48(+0.061)#1,247
88.	11560	0.54	0.51(+0.029)#88	0.48(+0.061)#1,258
89.	11975	0.54	0.51(+0.029)#89	0.48(+0.061)#1,273
90.	10033	0.54	0.51(+0.028)#90	0.48(+0.060)#1,300
91.	12601	0.54	0.51(+0.027)#91	0.48(+0.059)#1,312
92.	10014	0.54	0.51(+0.027)#92	0.48(+0.059)#1,329
93.	13850	0.54	0.51(+0.026)#93	0.48(+0.058)#1,349
94.	11021	0.54	0.51(+0.026)#94	0.48(+0.058)#1,351
95.	11205	0.54	0.51(+0.026)#95	0.48(+0.058)#1,356
96.	10038	0.54	0.51(+0.026)#96	0.48(+0.058)#1,360
97.	11206	0.54	0.51(+0.026)#97	0.48(+0.058)#1,370
98.	10028	0.54	0.51(+0.025)#98	0.48(+0.057)#1,380
99.	12970	0.54	0.51(+0.025)#99	0.48(+0.057)#1,392
100.	13425	0.54	0.51(+0.023)#100	0.48(+0.055)#1,450

Zip Codes with the Highest Inequality / Gini Index in New York

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Map of Zip Codes with the Highest Inequality / Gini Index in New York

Zip Codes with the Highest Inequality / Gini Index in New York