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USA.com / Ranks / Mississippi Percentage of Renters Paying $200-$300 Zip Code Rank / Based on ACS 2008-2012 data*

Mississippi Percentage of Renters Paying $200-$300 Zip Code Rank

Based on ACS 2008-2012 data*

A total of 247 results found. Show Results on Map.

RankPercentage of Renters Paying $200-$300 ▼Zip / Population
1.100.0%39336 / 1,114
1.100.0%38964 / 269
1.100.0%38764 / 370
1.100.0%38927 / 1,091
5.86.1%39481 / 2,042
6.67.5%38869 / 276
7.48.2%38642 / 1,890
8.39.8%39776 / 1,465
9.38.1%39358 / 1,756
10.36.8%39078 / 810
11.36.3%39176 / 2,262
12.36.1%38631 / 958
13.35.2%38639 / 1,255
14.35.1%38856 / 1,846
15.33.3%38781 / 163
16.32.9%38617 / 892
17.31.1%39069 / 6,433
18.30.3%39113 / 691
19.28.2%38754 / 1,751
20.28.0%38847 / 3,382
21.27.3%39359 / 181
21.27.3%38738 / 2,881
23.25.4%38925 / 2,412
24.24.8%38643 / 2,565
25.24.7%39653 / 3,169
26.24.7%39347 / 1,655
27.24.5%38928 / 286
28.24.4%38957 / 579
29.23.0%39066 / 4,504
30.22.7%38862 / 2,871
31.22.5%38846 / 2,363
32.22.0%39735 / 4,180
33.20.7%39153 / 3,619
34.20.4%39769 / 2,075
35.19.8%39422 / 5,307
36.19.7%38769 / 2,439
37.19.7%38917 / 2,851
38.19.7%39328 / 4,977
39.19.4%38916 / 4,787
40.19.1%38860 / 5,647
41.19.0%38774 / 2,388
42.18.9%38778 / 1,670
43.18.9%38633 / 2,612
44.18.8%38762 / 2,561
45.18.4%38828 / 4,718
46.18.3%38665 / 2,515
47.18.1%39216 / 3,141
48.18.1%39364 / 3,473
49.18.0%39638 / 3,114
50.17.8%39146 / 2,708
51.17.5%39631 / 3,766
52.17.4%39074 / 15,395
53.16.9%38966 / 996
54.16.8%39079 / 2,112
55.16.8%39367 / 14,372
56.16.7%39750 / 2,641
57.16.5%39428 / 9,659
58.16.1%39169 / 3,175
59.16.0%39669 / 5,715
60.15.9%38748 / 4,231
61.15.7%38650 / 4,375
62.15.6%39038 / 6,702
63.15.5%38824 / 8,821
64.15.4%39067 / 1,495
65.15.2%39630 / 1,260
66.15.0%38737 / 4,096
67.14.6%38773 / 3,590
68.14.3%39577 / 10,600
69.14.3%38921 / 4,842
69.14.3%38771 / 3,042
71.14.2%38865 / 4,223
72.14.1%38849 / 5,685
73.14.1%39345 / 6,190
74.14.0%39483 / 6,183
75.14.0%38851 / 8,522
76.13.8%39462 / 1,599
77.13.3%38670 / 1,272
78.13.3%39752 / 2,729
79.13.2%39773 / 16,699
80.13.0%38852 / 8,802
81.13.0%38866 / 11,878
82.12.9%39059 / 11,303
83.12.9%39095 / 7,071
84.12.7%39730 / 12,223
85.12.6%38821 / 12,418
86.12.6%38753 / 1,473
87.12.2%38841 / 2,000
88.12.1%38924 / 784
89.11.9%39701 / 14,097
90.11.9%39439 / 4,447
91.11.9%38760 / 872
92.11.7%39120 / 32,536
93.11.6%38873 / 2,609
94.11.5%39159 / 3,126
95.11.0%38827 / 2,762
96.10.8%39437 / 12,657
97.10.8%38663 / 11,438
97.10.8%38619 / 5,223
99.10.8%39119 / 5,917
100.10.5%38621 / 1,847
101.10.4%38967 / 7,519
102.10.4%38930 / 26,028
103.10.4%38868 / 4,937
103.10.4%39194 / 21,538
105.10.2%38761 / 2,674
106.10.2%38901 / 18,627
107.10.1%38833 / 3,165
108.10.0%39150 / 5,623
109.9.7%39307 / 18,377
110.9.7%39350 / 25,375
111.9.6%39654 / 5,732
112.9.5%39455 / 9,231
113.9.4%39451 / 7,118
114.9.4%38850 / 3,067
115.9.4%39362 / 3,127
116.9.3%39601 / 24,780
117.9.3%38756 / 6,854
118.9.1%39702 / 22,418
119.9.1%39365 / 7,359
120.9.1%39145 / 5,052
121.9.0%38620 / 4,012
122.8.9%38965 / 8,595
123.8.8%39213 / 22,700
124.8.8%39339 / 15,654
125.8.8%39170 / 9,205
126.8.7%39166 / 494
127.8.6%39175 / 4,807
128.8.6%38646 / 3,180
129.8.4%39440 / 20,520
130.8.4%39301 / 27,139
131.8.3%38736 / 618
132.8.2%39051 / 16,659
133.8.2%38863 / 20,871
134.8.1%39071 / 5,023
135.8.1%38652 / 15,407
136.8.1%39429 / 17,718
137.7.9%38834 / 29,772
138.7.8%38614 / 19,997
139.7.8%38915 / 3,876
140.7.6%39530 / 8,143
141.7.5%39466 / 28,673
142.7.5%38635 / 17,194
143.7.4%39327 / 4,332
144.7.4%39063 / 3,472
145.7.3%38843 / 11,518
146.7.3%38804 / 17,595
146.7.3%39114 / 10,307
148.7.3%39553 / 17,543
149.7.2%39474 / 6,050
150.7.2%38801 / 29,129
151.7.1%39443 / 22,842
152.7.1%39090 / 13,631
153.7.0%39747 / 1,886
154.7.0%38870 / 2,941
155.6.8%38701 / 23,728
156.6.6%38732 / 17,896
157.6.6%39648 / 22,395
158.6.5%39189 / 4,584
159.6.3%39739 / 3,094
160.6.0%38751 / 11,611
161.6.0%38611 / 16,299
162.5.9%39482 / 9,320
163.5.8%39041 / 3,680
164.5.6%38954 / 1,171
165.5.6%39160 / 3,234
166.5.5%39470 / 13,607
167.5.5%39426 / 15,403
168.5.5%39563 / 13,842
169.5.3%39475 / 12,120
170.5.3%39183 / 14,546
171.5.2%39560 / 16,553
172.5.1%38645 / 1,931
173.5.0%39341 / 6,586
174.5.0%38829 / 17,890
175.4.9%39361 / 1,906
176.4.9%39204 / 18,964
177.4.7%39743 / 1,492
178.4.7%39744 / 5,628
179.4.7%39209 / 30,391
180.4.6%38941 / 4,823
181.4.5%38606 / 15,562
182.4.5%39168 / 6,809
183.4.4%39083 / 11,474
184.4.3%39111 / 9,547
185.4.3%39180 / 33,555
186.4.3%39501 / 21,740
187.4.1%38963 / 5,063
188.4.1%38632 / 24,714
189.4.1%38666 / 7,690
190.4.0%39046 / 26,475
191.4.0%38610 / 3,326
192.3.9%39564 / 38,000
193.3.9%39666 / 9,232
194.3.8%39652 / 8,821
195.3.8%39208 / 28,990
196.3.8%38725 / 820
197.3.7%39465 / 21,719
198.3.7%39667 / 12,727
199.3.6%39355 / 6,341
200.3.5%39202 / 8,808
201.3.5%39401 / 43,639
202.3.5%38922 / 3,693
203.3.4%39574 / 12,840
204.3.3%39423 / 2,652
204.3.3%38676 / 6,022
204.3.3%39740 / 5,490
207.3.3%39218 / 7,398
208.3.2%39203 / 7,147
209.3.1%39056 / 26,061
210.3.0%39571 / 13,069
211.2.9%39657 / 1,885
212.2.9%39759 / 41,887
213.2.9%39402 / 38,401
214.2.8%38683 / 5,344
215.2.7%38703 / 14,058
216.2.7%38668 / 15,053
217.2.7%39117 / 9,646
218.2.6%39346 / 2,752
219.2.5%38655 / 36,109
220.2.4%38858 / 6,986
221.2.4%39581 / 11,956
222.2.2%39565 / 18,689
223.2.2%38855 / 5,062
224.2.1%39531 / 17,266
224.2.1%39576 / 5,781
226.2.0%39452 / 27,041
227.2.0%39520 / 14,850
228.1.9%39532 / 34,252
229.1.9%39567 / 10,529
229.1.9%38637 / 26,120
231.1.8%39211 / 24,713
232.1.7%38671 / 36,312
232.1.7%38618 / 11,309
234.1.7%39305 / 20,319
235.1.6%38878 / 3,033
236.1.6%39154 / 10,365
237.1.5%39507 / 15,719
238.1.4%39338 / 3,089
239.1.4%39206 / 24,705
240.1.3%39342 / 1,284
241.1.2%39212 / 33,294
242.1.2%39360 / 4,663
243.1.1%39040 / 3,531
244.0.6%39705 / 14,023
245.0.6%38680 / 5,580
246.0.4%39503 / 46,548
247.0.4%39047 / 37,728

Please note that we only rank locations with 'Percentage of Renters Paying $200-$300' data. The rank above might not be a complete list. Locations without 'Percentage of Renters Paying $200-$300' 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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