Income inequality (Gini): zip codes ranked in New York

Income inequality on a 0-to-1 scale. 0 means every household earns the same; higher means income is concentrated among fewer households. The U.S. scores about 0.48. Lower is more equal. These lists rank zip codes in New York with at least 1,000 residents, using the Census Bureau's American Community Survey 5-year estimates.

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Zip codes with the most income inequality

#	Zip	City	Inequality	Population
1	11005	Floral Park	0.728	2,174
2	13607	Alexandria Bay	0.647	2,020
3	10013	New York	0.639	27,219
4	10507	Bedford Hills	0.633	6,109
5	12747	Hurleyville	0.627	2,234
6	10029	New York	0.620	77,447
7	10454	Bronx	0.616	39,570
8	12919	Champlain	0.616	2,961
9	12496	Windham	0.615	1,164
10	13202	Syracuse	0.612	7,098
11	10037	New York	0.611	19,031
12	12501	Amenia	0.610	2,476
13	12529	Hillsdale	0.609	2,410
14	10002	New York	0.603	76,873
15	14604	Rochester	0.598	3,251
16	10075	New York	0.593	21,897
17	10027	New York	0.591	63,885
18	10038	New York	0.589	22,235
19	12758	Livingston Manor	0.589	4,025
20	12117	Mayfield	0.585	2,871
21	10035	New York	0.584	38,862
22	10030	New York	0.584	29,297
23	14202	Buffalo	0.581	3,862
24	14605	Rochester	0.580	11,783
25	10033	New York	0.580	54,838
26	12464	Phoenicia	0.579	1,033
27	10987	Tuxedo Park	0.579	4,411
28	12545	Millbrook	0.577	4,338
29	10026	New York	0.574	37,123
30	10025	New York	0.572	93,065
31	12307	Schenectady	0.571	7,050
32	11559	Lawrence	0.570	8,878
33	10036	New York	0.570	31,036
34	10021	New York	0.570	39,868
35	11978	Westhampton Beach	0.567	4,705
36	11548	Greenvale	0.567	2,261
37	11231	Brooklyn	0.564	38,276
38	10010	New York	0.564	30,702
39	11692	Arverne	0.563	22,734
40	12466	Port Ewen	0.563	1,981
41	10018	New York	0.562	8,559
42	11937	East Hampton	0.561	21,882
43	10708	Bronxville	0.560	22,482
44	10001	New York	0.558	30,511
45	10009	New York	0.558	60,209
46	10003	New York	0.558	53,560
47	11239	Brooklyn	0.557	16,410
48	10069	New York	0.556	6,509
49	10028	New York	0.556	49,077
50	10024	New York	0.555	63,115
51	11968	Southampton	0.554	15,312
52	11963	Sag Harbor	0.554	8,390
53	10014	New York	0.553	29,230
54	10538	Larchmont	0.553	17,760
55	11954	Montauk	0.553	4,223
56	14201	Buffalo	0.551	12,369
57	14209	Buffalo	0.551	8,313
58	10128	New York	0.551	57,976
59	10595	Valhalla	0.551	7,243
60	14544	Rushville	0.550	2,371
61	10453	Bronx	0.550	76,282
62	10604	West Harrison	0.550	12,517
63	12468	Prattsville	0.550	1,329
64	14802	Alfred	0.548	4,814
65	10023	New York	0.548	69,455
66	10011	New York	0.548	48,277
67	10065	New York	0.548	30,808
68	11941	Eastport	0.548	2,814
69	10451	Bronx	0.547	50,942
70	11224	Brooklyn	0.547	50,822
71	12522	Dover Plains	0.547	4,959
72	10022	New York	0.546	34,049
73	10606	White Plains	0.545	17,341
74	10162	New York	0.545	1,603
75	14894	Wellsburg	0.544	1,244
76	10456	Bronx	0.544	87,533
77	11560	Locust Valley	0.544	7,696
78	10034	New York	0.543	37,758
79	11568	Old Westbury	0.543	4,144
80	12833	Greenfield Center	0.542	5,316
81	11976	Water Mill	0.542	2,952
82	10543	Mamaroneck	0.540	20,989
83	11021	Great Neck	0.540	19,783
84	14818	Burdett	0.540	1,878
85	13642	Gouverneur	0.539	9,043
86	10952	Monsey	0.539	48,019
87	11217	Brooklyn	0.539	43,490
88	11218	Brooklyn	0.537	72,042
89	11249	Brooklyn	0.537	47,728
90	11206	Brooklyn	0.535	93,020
91	10573	Port Chester	0.535	40,786
92	12601	Poughkeepsie	0.535	44,164
93	11771	Oyster Bay	0.533	10,908
94	13152	Skaneateles	0.532	7,681
95	12534	Hudson	0.532	17,176
96	11944	Greenport	0.532	5,037
97	13324	Cold Brook	0.531	1,729
98	10019	New York	0.531	44,942
99	14903	Elmira	0.531	7,078
100	12565	Philmont	0.530	1,439

Zip codes with the least income inequality

#	Zip	City	Inequality	Population
1	12733	Fallsburg	0.170	1,865
2	10578	Purdys	0.197	1,780
3	13244	Syracuse	0.213	9,683
4	12052	Cropseyville	0.251	1,915
5	13864	Willseyville	0.257	1,099
6	10919	Circleville	0.278	1,551
7	13490	Westmoreland	0.281	1,031
8	13420	Old Forge	0.298	1,055
9	13332	Earlville	0.301	2,577
10	12934	Ellenburg Center	0.305	1,120
11	13616	Calcium	0.305	1,430
12	14836	Dalton	0.305	1,055
13	10914	Blooming Grove	0.305	1,205
14	13809	Mount Upton	0.306	1,410
15	10996	West Point	0.306	6,349
16	12166	Sprakers	0.307	1,635
17	13495	Yorkville	0.308	1,841
18	13054	Durhamville	0.312	1,334
19	10922	Fort Montgomery	0.312	1,403
20	10984	Thiells	0.314	2,805
21	12086	Hagaman	0.315	1,587
22	14005	Alexander	0.318	1,772
23	10537	Lake Peekskill	0.319	2,439
24	14058	Elba	0.321	2,370
25	12960	Moriah	0.321	1,143
26	14560	Springwater	0.323	2,412
27	14143	Stafford	0.324	1,216
28	12059	East Berne	0.324	1,530
29	14471	Honeoye	0.325	2,727
30	14571	Waterport	0.326	1,190
31	12140	Poestenkill	0.326	1,512
32	12058	Earlton	0.326	1,220
33	10588	Shrub Oak	0.326	2,783
34	12087	Hannacroix	0.328	1,584
35	12121	Melrose	0.328	2,280
36	11703	North Babylon	0.328	17,187
37	13041	Clay	0.328	12,330
38	12116	Maryland	0.330	1,787
39	12972	Peru	0.331	6,895
40	12192	West Coxsackie	0.332	1,077
41	14036	Corfu	0.332	5,782
42	14568	Walworth	0.332	5,547
43	14102	Marilla	0.334	1,856
44	13843	South New Berlin	0.336	2,038
45	14105	Middleport	0.336	5,313
46	12486	Tillson	0.337	1,440
47	13625	Colton	0.338	1,792
48	13026	Aurora	0.338	1,619
49	12209	Albany	0.338	10,626
50	13308	Blossvale	0.339	3,862
51	14062	Forestville	0.341	3,266
52	12027	Burnt Hills	0.342	4,693
53	12577	Salisbury Mills	0.342	1,942
54	14057	Eden	0.344	7,972
55	11789	Sound Beach	0.344	7,369
56	12548	Modena	0.345	1,064
57	12158	Selkirk	0.346	5,878
58	13354	Holland Patent	0.346	3,554
59	11718	Brightwaters	0.347	3,179
60	11756	Levittown	0.347	42,665
61	13637	Evans Mills	0.348	5,212
62	13033	Cato	0.349	3,732
63	14741	Great Valley	0.349	1,805
64	11964	Shelter Island	0.349	2,906
65	10548	Montrose	0.349	4,254
66	12067	Feura Bush	0.349	1,165
67	13680	Rensselaer Falls	0.349	1,186
68	14445	East Rochester	0.349	7,529
69	13317	Canajoharie	0.349	3,888
70	12204	Albany	0.350	7,812
71	12809	Argyle	0.350	3,669
72	11762	Massapequa Park	0.351	22,487
73	14723	Cherry Creek	0.351	1,187
74	13471	Taberg	0.351	2,806
75	10969	Pine Island	0.351	1,150
76	14025	Boston	0.352	3,243
77	13679	Redwood	0.352	1,205
78	10916	Campbell Hall	0.352	4,238
79	11715	Blue Point	0.353	3,936
80	14532	Phelps	0.353	4,165
81	13734	Barton	0.354	2,269
82	14476	Kendall	0.354	2,443
83	11413	Springfield Gardens	0.354	45,965
84	11778	Rocky Point	0.355	12,390
85	12018	Averill Park	0.355	7,422
86	14085	Lake View	0.356	8,531
87	14138	South Dayton	0.356	2,046
88	10973	Slate Hill	0.357	2,358
89	12594	Wingdale	0.357	4,222
90	11741	Holbrook	0.358	26,667
91	12057	Eagle Bridge	0.359	1,789
92	14744	Houghton	0.360	2,188
93	14858	Lindley	0.360	1,425
94	13416	Newport	0.360	2,369
95	12871	Schuylerville	0.360	3,813
96	11783	Seaford	0.360	21,127
97	12196	West Sand Lake	0.361	3,880
98	14772	Randolph	0.361	4,394
99	12966	North Bangor	0.361	2,656
100	14489	Lyons	0.361	6,897

Income inequality (Gini): zip codes ranked in New York

Zip codes with the most income inequality

Zip codes with the least income inequality

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