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North Dakota Percentage of Renters Paying $300-$500 Zip Code Rank

Based on ACS 2008-2012 data*

A total of 263 results found. Show Results on Map.

RankPercentage of Renters Paying $300-$500 ▼Zip / Population
1.100.0%58716 / 131
1.100.0%58768 / 193
1.100.0%58769 / 256
1.100.0%58655 / 430
1.100.0%58361 / 263
1.100.0%58830 / 306
1.100.0%58795 / 176
1.100.0%58277 / 233
1.100.0%58787 / 150
1.100.0%58778 / 140
1.100.0%58620 / 221
1.100.0%58017 / 377
1.100.0%58272 / 400
1.100.0%58244 / 213
1.100.0%58737 / 129
1.100.0%58748 / 98
1.100.0%58210 / 297
1.100.0%58441 / 327
1.100.0%58423 / 75
1.100.0%58752 / 187
1.100.0%58782 / 373
1.100.0%58755 / 117
1.100.0%58477 / 176
1.100.0%58712 / 141
25.91.3%58377 / 457
26.89.5%58443 / 204
27.87.5%58733 / 383
28.84.6%58231 / 631
28.84.6%58420 / 317
30.83.3%58418 / 372
30.83.3%58856 / 154
32.82.4%58063 / 372
33.81.5%58380 / 345
34.77.4%58575 / 835
35.77.3%58259 / 384
36.76.9%58765 / 314
37.75.0%58483 / 267
38.73.3%58490 / 305
39.72.5%58636 / 741
40.72.4%58788 / 1,021
41.72.0%58762 / 219
42.71.4%58486 / 115
42.71.4%58346 / 656
44.70.0%58497 / 258
45.69.2%58381 / 326
46.66.7%58430 / 132
46.66.7%58276 / 538
46.66.7%58731 / 300
49.64.7%58038 / 282
50.64.5%58365 / 291
51.64.3%58227 / 481
52.63.6%58545 / 3,526
52.63.6%58445 / 121
54.62.5%58632 / 165
54.62.5%58487 / 517
56.61.7%58230 / 675
57.61.5%58476 / 260
57.61.5%58071 / 427
59.61.1%58760 / 275
60.60.0%58466 / 482
60.60.0%58772 / 128
62.57.9%58356 / 1,682
63.57.9%58568 / 405
64.57.7%58235 / 459
65.57.3%58730 / 1,250
66.57.1%58638 / 1,163
66.57.1%58460 / 263
68.56.0%58467 / 599
69.55.6%58218 / 594
70.54.8%58835 / 364
71.54.6%58573 / 849
72.53.9%58444 / 224
73.53.5%58240 / 1,384
74.53.3%58552 / 1,646
75.52.1%58251 / 2,110
76.52.1%58348 / 744
77.52.0%58463 / 562
78.51.7%58249 / 2,581
79.50.6%58261 / 1,092
80.50.0%58454 / 429
80.50.0%58262 / 143
80.50.0%58541 / 346
80.50.0%58634 / 176
80.50.0%58374 / 665
80.50.0%58384 / 529
80.50.0%58008 / 277
87.48.9%58012 / 2,337
88.48.3%58645 / 247
88.48.3%58650 / 419
90.48.0%58646 / 1,197
91.48.0%58341 / 2,531
92.47.8%58051 / 1,248
93.47.6%58425 / 1,478
93.47.6%58031 / 352
95.47.5%58053 / 1,484
96.47.4%58640 / 1,576
97.47.2%58756 / 277
98.47.1%58433 / 1,008
99.46.4%58370 / 1,479
100.46.3%58369 / 1,414
101.46.0%58577 / 1,768
102.46.0%58647 / 1,080
103.45.8%58562 / 360
104.45.5%58528 / 900
105.45.5%58438 / 669
106.44.8%58330 / 369
107.44.8%58324 / 1,341
108.44.4%58006 / 422
109.44.1%58571 / 724
110.44.0%58482 / 914
111.43.7%58421 / 2,914
112.42.9%58723 / 306
112.42.9%58048 / 494
114.42.3%58579 / 1,062
115.42.2%58344 / 898
116.42.1%58352 / 474
117.41.9%58075 / 8,926
118.41.7%58736 / 425
119.41.4%58563 / 2,094
120.41.3%58267 / 1,265
121.41.2%58424 / 252
121.41.2%58853 / 339
123.40.9%58357 / 390
124.40.7%58775 / 384
124.40.7%58529 / 621
126.40.6%58761 / 1,092
127.40.4%58721 / 560
128.40.3%58639 / 1,821
129.40.0%58626 / 265
129.40.0%58654 / 331
129.40.0%58478 / 153
129.40.0%58317 / 231
129.40.0%58011 / 385
129.40.0%58035 / 153
129.40.0%58533 / 930
129.40.0%58479 / 265
137.39.8%58458 / 1,327
138.39.5%58495 / 1,276
139.39.3%58461 / 483
140.38.9%58018 / 244
140.38.9%58852 / 1,454
142.38.5%58054 / 3,105
143.38.5%58005 / 652
144.38.3%58413 / 1,098
145.38.1%58220 / 2,235
146.37.8%58030 / 548
147.37.5%58021 / 377
147.37.5%58448 / 268
149.37.4%58225 / 920
150.37.1%58436 / 2,053
151.36.7%58081 / 970
151.36.7%58102 / 30,781
153.35.0%58622 / 1,523
154.34.8%58237 / 5,402
155.34.4%58442 / 532
156.34.3%58631 / 991
157.33.6%58757 / 987
158.33.4%58523 / 3,611
159.33.3%58385 / 325
159.33.3%58269 / 158
161.33.2%58045 / 2,545
162.32.9%58335 / 1,456
163.32.7%58316 / 6,549
164.32.5%58540 / 2,286
165.32.3%58854 / 3,084
166.32.3%58474 / 2,700
167.31.9%58773 / 766
168.31.7%58301 / 9,744
169.31.6%58379 / 365
170.31.4%58653 / 573
171.31.2%58561 / 1,080
172.31.0%58351 / 505
173.30.8%58746 / 1,557
173.30.8%58725 / 270
175.30.2%58741 / 648
176.30.0%58750 / 677
177.29.7%58649 / 376
177.29.7%58032 / 726
179.29.5%58554 / 22,888
180.29.1%58652 / 938
181.29.0%58212 / 495
182.28.6%58046 / 553
183.28.1%58538 / 2,605
184.28.0%58257 / 1,831
185.27.9%58623 / 2,308
186.27.9%58072 / 7,934
187.27.5%58621 / 1,131
188.27.3%58064 / 457
189.26.3%58282 / 1,573
190.26.1%58401 / 17,089
191.26.0%58203 / 17,720
192.25.6%58329 / 3,163
193.25.5%58793 / 648
194.25.2%58270 / 2,018
195.25.0%58067 / 235
195.25.0%58041 / 1,632
195.25.0%58455 / 316
195.25.0%58332 / 317
195.25.0%58570 / 373
195.25.0%58214 / 313
195.25.0%58656 / 367
202.24.7%58763 / 3,120
203.24.7%58368 / 3,827
204.24.6%58040 / 840
205.24.3%58254 / 472
206.24.0%58759 / 912
207.23.9%58366 / 1,178
208.23.8%58501 / 28,215
209.23.7%58771 / 562
210.23.5%58273 / 199
210.23.5%58271 / 751
212.22.9%58318 / 3,518
213.22.6%58243 / 696
214.22.2%58651 / 529
214.22.2%58496 / 250
216.21.4%58439 / 169
216.21.4%58535 / 577
218.21.3%58504 / 24,821
219.20.8%58781 / 787
219.20.8%58416 / 428
221.20.0%58429 / 291
222.19.5%58703 / 19,206
223.19.4%58274 / 1,186
224.19.4%58367 / 1,643
225.19.2%58530 / 1,081
226.19.1%58845 / 292
227.18.8%58770 / 1,428
228.18.8%58222 / 411
229.17.3%58801 / 19,271
230.15.7%58078 / 26,302
231.15.6%58784 / 2,464
232.15.6%58718 / 1,153
233.15.0%58520 / 300
234.14.9%58027 / 1,152
235.14.4%58601 / 21,650
236.14.4%58201 / 35,515
237.14.3%58060 / 1,345
237.14.3%58033 / 448
239.14.2%58701 / 28,946
240.13.4%58204 / 2,270
241.13.3%58740 / 764
242.12.9%58790 / 1,738
243.12.5%58630 / 422
244.11.8%58228 / 840
244.11.8%58103 / 47,442
246.11.8%58727 / 277
247.11.1%58576 / 917
247.11.1%58001 / 90
249.9.5%58789 / 318
250.9.3%58849 / 1,165
251.9.1%58275 / 819
251.9.1%58558 / 758
253.8.7%58077 / 699
254.8.0%58059 / 1,218
255.7.6%58722 / 1,354
256.7.1%58488 / 254
257.5.6%58704 / 4,923
258.4.9%58428 / 309
259.4.0%58068 / 374
260.3.5%58544 / 618
261.3.3%58052 / 646
262.2.4%58503 / 25,798
263.2.2%58104 / 28,513

Please note that we only rank locations with 'Percentage of Renters Paying $300-$500' data. The rank above might not be a complete list. Locations without 'Percentage of Renters Paying $300-$500' 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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