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Montana Percentage of Renters Paying $1000-$1500 Zip Code Rank

Based on ACS 2008-2012 data*

A total of 167 results found. Show Results on Map.

RankPercentage of Renters Paying $1000-$1500 ▼Zip / Population
1.100.0%59871 / 180
1.100.0%59315 / 127
1.100.0%59848 / 175
1.100.0%59748 / 245
1.100.0%59929 / 288
1.100.0%59217 / 133
7.57.0%59922 / 2,156
8.56.0%59747 / 203
9.50.0%59844 / 904
9.50.0%59731 / 204
11.46.2%59037 / 1,881
12.42.5%59063 / 2,136
13.42.2%59070 / 849
14.40.0%59910 / 579
14.40.0%59732 / 65
14.40.0%59338 / 124
14.40.0%59424 / 59
14.40.0%59260 / 128
19.39.8%59716 / 1,880
20.39.1%59833 / 5,494
21.38.9%59914 / 156
22.38.1%59834 / 2,146
23.37.9%59218 / 994
24.36.5%59851 / 324
25.36.5%59718 / 27,837
26.35.7%59635 / 7,208
27.35.1%59741 / 4,383
28.33.3%59602 / 24,193
28.33.3%59057 / 617
28.33.3%59931 / 271
28.33.3%59447 / 155
32.32.7%59638 / 615
33.32.0%59937 / 12,911
34.29.2%59540 / 433
35.27.6%59803 / 16,907
36.27.4%59804 / 7,747
37.27.3%59873 / 3,186
38.27.3%59721 / 427
39.27.1%59008 / 438
40.26.7%59736 / 133
40.26.7%59480 / 529
42.26.2%59912 / 13,357
43.26.1%59243 / 290
43.26.1%59760 / 373
45.25.9%59730 / 1,776
46.25.7%59825 / 2,464
47.25.5%59920 / 1,742
48.25.0%59052 / 150
48.25.0%59467 / 277
50.24.2%59634 / 4,810
51.23.1%59762 / 323
52.22.2%59847 / 4,976
53.21.7%59875 / 3,599
54.21.1%59639 / 993
55.20.3%59068 / 3,295
56.20.3%59714 / 18,973
57.20.1%59917 / 3,922
58.20.0%59212 / 485
59.19.3%59106 / 12,581
60.19.0%59808 / 18,357
61.18.9%59828 / 5,631
62.18.9%59868 / 1,746
63.18.7%59911 / 7,832
64.18.3%59018 / 664
65.18.2%59430 / 490
66.17.9%59061 / 236
67.17.7%59487 / 1,435
67.17.7%59226 / 427
69.17.6%59102 / 47,155
70.17.2%59464 / 414
71.17.0%59870 / 10,508
72.16.8%59901 / 49,374
73.16.2%59752 / 3,047
74.15.7%59831 / 587
75.15.4%59874 / 1,023
75.15.4%59854 / 298
77.15.4%59715 / 31,027
78.14.7%59275 / 336
79.14.3%59733 / 169
80.14.2%59047 / 11,964
81.14.1%59860 / 9,756
82.14.0%59643 / 612
83.14.0%59802 / 18,876
84.13.9%59105 / 29,760
85.13.6%59866 / 1,037
86.13.5%59050 / 1,521
86.13.5%59820 / 1,203
88.13.3%59474 / 3,858
89.12.9%59735 / 458
90.12.8%59412 / 2,019
91.12.7%59486 / 1,508
92.12.5%59936 / 512
93.12.3%59069 / 473
94.12.1%59725 / 7,773
95.12.1%59729 / 2,080
95.12.1%59801 / 30,658
97.11.3%59472 / 841
98.11.2%59601 / 29,619
99.11.1%59843 / 369
100.10.8%59086 / 805
101.10.5%59468 / 686
102.10.1%59019 / 3,945
103.9.8%59404 / 26,930
104.9.7%59840 / 12,683
105.9.2%59758 / 2,005
106.8.4%59405 / 30,504
107.8.2%59270 / 7,467
108.8.1%59401 / 13,858
108.8.1%59262 / 771
110.7.7%59029 / 867
110.7.7%59864 / 7,092
112.7.7%59644 / 3,996
113.7.6%59824 / 1,758
114.7.6%59821 / 2,087
115.7.3%59859 / 3,031
116.6.7%59925 / 1,334
117.6.6%59865 / 3,590
118.6.6%59823 / 1,309
119.6.4%59337 / 757
120.6.1%59632 / 2,207
121.6.0%59501 / 12,630
122.6.0%59829 / 2,368
123.6.0%59213 / 848
124.5.9%59248 / 692
124.5.9%59046 / 458
124.5.9%59755 / 224
127.5.6%59072 / 4,112
128.5.5%59301 / 11,433
129.5.1%59101 / 39,453
130.5.1%59221 / 1,573
131.5.0%59024 / 502
132.5.0%59923 / 10,030
133.4.9%59324 / 880
134.4.8%59317 / 1,128
135.4.7%59417 / 7,896
136.4.4%59425 / 3,455
137.4.4%59701 / 33,145
138.4.3%59414 / 1,063
139.4.2%59044 / 10,911
140.4.1%59330 / 8,332
141.3.9%59722 / 5,655
142.3.8%59323 / 2,512
143.3.7%59043 / 3,206
144.3.7%59457 / 9,319
145.3.6%59442 / 1,708
146.3.4%59003 / 1,107
147.3.4%59066 / 811
148.3.1%59030 / 1,464
149.2.9%59520 / 1,223
150.2.9%59450 / 514
150.2.9%59313 / 2,605
152.2.6%59526 / 2,682
153.2.6%59422 / 2,682
154.2.5%59645 / 1,661
155.2.4%59427 / 4,585
156.2.4%59230 / 4,704
157.2.3%59872 / 2,356
158.2.1%59711 / 8,922
158.2.1%59523 / 2,214
160.2.0%59759 / 3,370
161.1.9%59832 / 950
162.1.8%59749 / 1,468
163.1.5%59255 / 3,370
164.1.4%59001 / 1,525
165.1.4%59201 / 4,981
166.0.8%59521 / 3,630
167.0.8%59935 / 3,339

Please note that we only rank locations with 'Percentage of Renters Paying $1000-$1500' data. The rank above might not be a complete list. Locations without 'Percentage of Renters Paying $1000-$1500' 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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