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USA.com / Ranks / Total Population Rank of Census Block Group near Census Block Group NY0450604002 / Based on ACS 2006-2010 data*

Total Population Rank of Census Block Group within 50 miles of Census Block Group NY0450604002

Based on ACS 2006-2010 data*

A total of 196 results found. Show Results on Map.

RankTotal Population ▼Census Block Group / Population
1.4,278NY0750214011 / 4,278
2.3,422NY0450606004 / 3,422
3.2,909NY0750204002 / 2,909
4.2,827NY0750210001 / 2,827
5.2,785NY0450605003 / 2,785
6.2,773NY0450608032 / 2,773
7.2,743NY0750212004 / 2,743
8.2,648NY0750207031 / 2,648
9.2,642NY0750206002 / 2,642
10.2,543NY0450624002 / 2,543
11.2,538NY0499503002 / 2,538
12.2,441NY0750203011 / 2,441
13.2,432NY0750207013 / 2,432
14.2,416NY0750207032 / 2,416
15.2,349NY0750215024 / 2,349
16.2,277NY0750204001 / 2,277
17.2,250NY0750211021 / 2,250
18.2,178NY0450608036 / 2,178
18.2,178NY0450602005 / 2,178
20.2,176NY0750208001 / 2,176
21.2,157NY0750214013 / 2,157
22.2,130NY0750210002 / 2,130
23.2,109NY0450608043 / 2,109
24.2,066NY0450602002 / 2,066
25.2,044NY0450616002 / 2,044
26.2,033NY0499502001 / 2,033
27.2,012NY0450604001 / 2,012
28.1,982NY0750205005 / 1,982
29.1,957NY0894927007 / 1,957
30.1,889NY0750215022 / 1,889
31.1,875NY0450621003 / 1,875
32.1,871NY0750216021 / 1,871
33.1,865NY0450618003 / 1,865
34.1,840NY0750203021 / 1,840
35.1,819NY0750215023 / 1,819
36.1,817NY0750202001 / 1,817
37.1,809NY0450602001 / 1,809
38.1,772NY0450609002 / 1,772
39.1,763NY0450610002 / 1,763
40.1,747NY0894926001 / 1,747
41.1,740NY0750216043 / 1,740
42.1,738NY0450603003 / 1,738
43.1,733NY0450604004 / 1,733
44.1,728NY0450609003 / 1,728
45.1,720NY0750216032 / 1,720
46.1,711NY0450605001 / 1,711
47.1,694NY0450615003 / 1,694
48.1,693NY0750214021 / 1,693
49.1,684NY0894918001 / 1,684
50.1,668NY0499502002 / 1,668
51.1,656NY0450618001 / 1,656
52.1,649NY0894926004 / 1,649
53.1,609NY0450612001 / 1,609
54.1,591NY0650245001 / 1,591
55.1,583NY0499504002 / 1,583
56.1,576NY0450621002 / 1,576
57.1,565NY0450611002 / 1,565
58.1,536NY0750214012 / 1,536
59.1,526NY0450621001 / 1,526
60.1,495NY0499501002 / 1,495
61.1,494NY0750208002 / 1,494
62.1,486NY0450618002 / 1,486
63.1,480NY0450611004 / 1,480
64.1,472NY0450606003 / 1,472
65.1,450NY0750203022 / 1,450
66.1,447NY0750215011 / 1,447
67.1,431NY0750216051 / 1,431
68.1,423NY0750215012 / 1,423
69.1,413NY0450601001 / 1,413
70.1,403NY0750211014 / 1,403
71.1,377NY0450607003 / 1,377
72.1,368NY0450611005 / 1,368
73.1,366NY0499507001 / 1,366
74.1,349NY0750202002 / 1,349
75.1,336NY0499505002 / 1,336
76.1,332NY0450617002 / 1,332
77.1,330NY0750201001 / 1,330
78.1,328NY0450622001 / 1,328
79.1,327NY0894927008 / 1,327
80.1,323NY0450619003 / 1,323
81.1,310NY0750216022 / 1,310
82.1,307NY0450612003 / 1,307
83.1,305NY0750216031 / 1,305
84.1,291NY0450608046 / 1,291
85.1,283NY0750205001 / 1,283
86.1,282NY0750216012 / 1,282
87.1,279NY0450614001 / 1,279
88.1,274NY0450601003 / 1,274
89.1,266NY0450622002 / 1,266
90.1,262NY0450618005 / 1,262
91.1,240NY0750212001 / 1,240
92.1,234NY0450625002 / 1,234
93.1,233NY0750216013 / 1,233
94.1,232NY0499507002 / 1,232
95.1,214NY0499502003 / 1,214
96.1,187NY0499504001 / 1,187
97.1,180NY0450607001 / 1,180
98.1,179NY0450625001 / 1,179
99.1,176NY0499503004 / 1,176
100.1,163NY0450608035 / 1,163
101.1,155NY0450610003 / 1,155
102.1,148NY0450617001 / 1,148
102.1,148NY0650244003 / 1,148
104.1,146NY0750216033 / 1,146
105.1,133NY0450606001 / 1,133
106.1,130NY0450608044 / 1,130
107.1,129NY0750216042 / 1,129
107.1,129NY0499501001 / 1,129
109.1,121NY0499503005 / 1,121
110.1,110NY0450619002 / 1,110
111.1,096NY0750216041 / 1,096
112.1,084NY0450622003 / 1,084
113.1,075NY0450607004 / 1,075
114.1,063NY0450619001 / 1,063
115.1,059NY0450611001 / 1,059
116.1,058NY0750216053 / 1,058
117.1,057NY0450613002 / 1,057
118.1,047NY0450609005 / 1,047
119.1,046NY0894918003 / 1,046
120.1,044NY0450604002 / 1,044
121.1,019NY0450610001 / 1,019
122.1,016NY0499503001 / 1,016
123.1,013NY0450616003 / 1,013
124.1,012NY0894928002 / 1,012
125.1,006NY0450609001 / 1,006
126.998NY0750211013 / 998
127.992NY0750211042 / 992
128.990NY0450622004 / 990
129.989NY0450624003 / 989
130.979NY0450616001 / 979
131.975NY0499505001 / 975
132.972NY0499507004 / 972
133.950NY0499503006 / 950
134.947NY0750201003 / 947
135.944NY0450603004 / 944
136.930NY0894928003 / 930
137.929NY0750211011 / 929
138.928NY0450625003 / 928
139.927NY0750211043 / 927
140.923NY0894928001 / 923
141.919NY0750205004 / 919
142.912NY0450614004 / 912
143.909NY0450602004 / 909
144.897NY0450604003 / 897
145.881NY0450618004 / 881
146.870NY0894927002 / 870
147.867NY0450613003 / 867
148.850NY0450601002 / 850
149.843NY0450615004 / 843
150.839NY0750215021 / 839
151.820NY0750211041 / 820
152.819NY0750205003 / 819
153.815NY0750205002 / 815
154.813NY0450609004 / 813
155.812NY0499507005 / 812
156.805NY0750216052 / 805
157.800NY0894928004 / 800
158.795NY0450611003 / 795
159.794NY0894929003 / 794
160.786NY0894927003 / 786
161.779NY0894929001 / 779
162.767NY0750201004 / 767
163.762NY0450605002 / 762
164.755NY0450608031 / 755
164.755NY0450614003 / 755
166.754NY0750202003 / 754
167.749NY0450606002 / 749
168.734NY0750207022 / 734
169.726NY0450614002 / 726
169.726NY0894929002 / 726
171.725NY0450612002 / 725
172.702NY0499503003 / 702
173.699NY0450603001 / 699
174.681NY0894927001 / 681
175.678NY0450615002 / 678
176.666NY0450624001 / 666
177.640NY0499507003 / 640
178.638NY0450607002 / 638
179.637NY0450604005 / 637
180.621NY0450601004 / 621
181.617NY0450603002 / 617
182.608NY0450613001 / 608
183.604NY0750201002 / 604
184.593NY0750216011 / 593
185.587NY0894927005 / 587
186.552NY0450615001 / 552
187.542NY0894927004 / 542
188.504NY0750211012 / 504
189.465NY0750207011 / 465
190.440NY0450602003 / 440
191.438NY0450608042 / 438
192.402NY0750216054 / 402
193.390NY0894927006 / 390
194.389NY0450608034 / 389
195.111NY0450608033 / 111
196.19NY0450608045 / 19

Please note that we only rank locations with 'Total Population' data. The rank above might not be a complete list. Locations without 'Total Population' 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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