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North Dakota Occupied House with 1 Vehicle Zip Code Rank

Based on ACS 2008-2012 data*

A total of 364 results found. Show Results on Map.

RankOccupied House with 1 Vehicle ▼Zip / Population
1.100.0%58405 / 347
2.66.7%58224 / 19
3.63.6%58362 / 33
4.52.5%58524 / 56
5.48.6%58335 / 1,456
6.48.4%58035 / 153
7.46.5%58528 / 900
8.46.4%58262 / 143
9.46.1%58538 / 2,605
10.45.9%58254 / 472
11.45.3%58737 / 129
12.45.0%58428 / 309
13.43.7%58497 / 258
14.43.1%58367 / 1,643
15.42.3%58323 / 37
16.41.5%58413 / 1,098
17.41.1%58645 / 247
18.40.8%58203 / 17,720
19.40.7%58103 / 47,442
20.40.0%58768 / 193
21.39.7%58757 / 987
22.39.2%58102 / 30,781
23.38.8%58568 / 405
24.38.3%58379 / 365
24.38.3%58748 / 98
26.37.9%58257 / 1,831
27.37.6%58006 / 422
28.37.4%58321 / 212
29.37.1%58201 / 35,515
30.36.8%58776 / 258
31.36.2%58356 / 1,682
32.36.1%58001 / 90
33.36.0%58220 / 2,235
34.35.7%58760 / 275
35.35.6%58478 / 153
36.35.4%58501 / 28,215
37.35.1%58369 / 1,414
38.35.1%58474 / 2,700
39.35.0%58316 / 6,549
40.34.8%58027 / 1,152
41.34.8%58239 / 50
42.34.7%58271 / 751
43.34.7%58787 / 150
44.34.6%58652 / 938
45.34.5%58353 / 48
46.34.2%58650 / 419
47.34.1%58701 / 28,946
48.33.8%58040 / 840
49.33.8%58072 / 7,934
49.33.8%58845 / 292
51.33.7%58238 / 191
52.33.6%58763 / 3,120
53.33.6%58455 / 316
54.33.3%58452 / 41
54.33.3%58344 / 898
56.33.3%58075 / 8,926
57.33.1%58552 / 1,646
58.33.0%58324 / 1,341
59.32.9%58301 / 9,744
60.32.8%58436 / 2,053
61.32.8%58746 / 1,557
62.32.5%58441 / 327
63.31.9%58401 / 17,089
64.31.6%58775 / 384
65.31.3%58045 / 2,545
66.31.3%58533 / 930
67.31.2%58282 / 1,573
68.31.0%58442 / 532
69.31.0%58451 / 204
70.30.9%58370 / 1,479
71.30.9%58445 / 121
72.30.8%58230 / 675
73.30.5%58372 / 111
74.30.4%58736 / 425
75.30.3%58235 / 459
76.30.2%58046 / 553
76.30.2%58237 / 5,402
78.30.2%58448 / 268
79.30.2%58018 / 244
80.30.0%58575 / 835
81.30.0%58443 / 204
82.29.7%58218 / 594
83.29.6%58639 / 1,821
84.29.6%58853 / 339
84.29.6%58430 / 132
86.29.6%58425 / 1,478
87.29.3%58081 / 970
88.29.1%58212 / 495
89.29.0%58266 / 220
90.28.9%58229 / 172
91.28.9%58765 / 314
92.28.6%58032 / 726
93.28.4%58495 / 1,276
94.28.4%58703 / 19,206
95.28.3%58259 / 384
96.28.2%58621 / 1,131
97.28.1%58561 / 1,080
98.28.1%58541 / 346
99.27.9%58484 / 75
100.27.9%58240 / 1,384
101.27.8%58458 / 1,327
102.27.7%58704 / 4,923
103.27.6%58041 / 1,632
104.27.6%58270 / 2,018
105.27.6%58351 / 505
106.27.5%58460 / 263
107.27.5%58483 / 267
107.27.5%58272 / 400
109.27.5%58504 / 24,821
110.27.4%58341 / 2,531
111.27.3%58357 / 390
112.27.3%58544 / 618
112.27.3%58011 / 385
112.27.3%58440 / 192
115.27.2%58318 / 3,518
116.27.1%58380 / 345
117.27.0%58017 / 377
118.26.7%58476 / 260
119.26.7%58053 / 1,484
119.26.7%58752 / 187
121.26.5%58078 / 26,302
122.26.4%58421 / 2,914
123.26.3%58601 / 21,650
124.26.1%58444 / 224
125.26.0%58535 / 577
125.26.0%58261 / 1,092
127.26.0%58479 / 265
128.25.9%58063 / 372
128.25.9%58065 / 47
130.25.8%58716 / 131
131.25.7%58348 / 744
132.25.5%58012 / 2,337
133.25.4%58730 / 1,250
134.25.4%58801 / 19,271
135.25.4%58778 / 140
136.25.3%58267 / 1,265
137.25.0%58554 / 22,888
138.25.0%58529 / 621
138.25.0%58856 / 154
138.25.0%58488 / 254
141.24.9%58416 / 428
142.24.8%58250 / 298
143.24.7%58329 / 3,163
144.24.5%58523 / 3,611
144.24.5%58793 / 648
146.24.3%58467 / 599
147.24.2%58563 / 2,094
148.24.1%58833 / 57
149.24.1%58623 / 2,308
150.24.1%58043 / 146
151.24.1%58064 / 457
152.24.0%58566 / 106
153.24.0%58770 / 1,428
154.24.0%58790 / 1,738
155.23.9%58482 / 914
156.23.9%58276 / 538
157.23.8%58016 / 222
158.23.7%58225 / 920
159.23.7%58366 / 1,178
160.23.6%58723 / 306
160.23.6%58374 / 665
162.23.6%58773 / 766
163.23.5%58007 / 66
164.23.5%58454 / 429
165.23.5%58273 / 199
165.23.5%58104 / 28,513
165.23.5%58054 / 3,105
168.23.5%58365 / 291
169.23.5%58579 / 1,062
170.23.4%58581 / 224
171.23.4%58622 / 1,523
172.23.3%58325 / 52
173.23.3%58346 / 656
174.23.3%58456 / 521
175.23.2%58503 / 25,798
176.23.2%58721 / 560
177.23.0%58249 / 2,581
178.23.0%58560 / 177
179.22.8%58712 / 141
180.22.7%58577 / 1,768
181.22.7%58277 / 233
182.22.7%58573 / 849
183.22.6%58418 / 372
184.22.6%58433 / 1,008
185.22.5%58038 / 282
186.22.5%58788 / 1,021
187.22.4%58204 / 2,270
188.22.4%58640 / 1,576
189.22.3%58068 / 374
190.22.2%58228 / 840
191.22.2%58540 / 2,286
192.22.2%58251 / 2,110
193.22.1%58330 / 369
194.22.0%58492 / 501
195.22.0%58656 / 367
196.21.9%58377 / 457
197.21.9%58030 / 548
198.21.7%58490 / 305
199.21.7%58782 / 373
200.21.6%58021 / 377
201.21.5%58231 / 631
202.21.4%58647 / 1,080
203.21.2%58655 / 430
204.21.2%58643 / 217
205.21.2%58631 / 991
206.21.1%58420 / 317
207.21.1%58243 / 696
208.21.1%58654 / 331
209.21.0%58625 / 192
210.21.0%58542 / 273
211.20.9%58725 / 270
212.20.9%58852 / 1,454
213.20.7%58466 / 482
213.20.7%58756 / 277
215.20.6%58854 / 3,084
216.20.5%58835 / 364
217.20.4%58759 / 912
218.20.4%58071 / 427
219.20.3%58438 / 669
220.20.3%58718 / 1,153
221.20.2%58052 / 646
222.20.0%58275 / 819
223.19.9%58646 / 1,197
224.19.8%58727 / 277
225.19.6%58008 / 277
226.19.6%58048 / 494
227.19.5%58222 / 411
228.19.4%58649 / 376
229.19.4%58545 / 3,526
230.19.4%58060 / 1,345
231.19.3%58332 / 317
232.19.2%58461 / 483
233.19.1%58382 / 176
234.19.1%58317 / 231
235.18.9%58740 / 764
236.18.9%58735 / 447
237.18.8%58784 / 2,464
238.18.6%58067 / 235
239.18.5%58792 / 252
240.18.5%58051 / 1,248
241.18.3%58429 / 291
242.18.2%58580 / 315
243.18.2%58058 / 129
243.18.2%58559 / 148
245.18.1%58711 / 183
246.18.0%58265 / 457
247.17.9%58562 / 360
248.17.9%58830 / 306
249.17.7%58368 / 3,827
250.17.5%58638 / 1,163
251.17.4%58571 / 724
252.17.3%58472 / 427
253.17.2%58520 / 300
254.17.2%58831 / 622
255.17.0%58210 / 297
256.17.0%58710 / 484
257.17.0%58789 / 318
258.17.0%58013 / 114
259.16.9%58256 / 868
260.16.8%58530 / 1,081
261.16.7%58576 / 917
262.16.7%58269 / 158
263.16.5%58627 / 214
264.16.5%58722 / 1,354
265.16.4%58381 / 326
266.16.2%58750 / 677
267.16.1%58481 / 253
268.15.9%58345 / 153
269.15.9%58463 / 562
270.15.7%58761 / 1,092
271.15.5%58849 / 1,165
272.15.4%58781 / 787
273.15.2%58636 / 741
274.15.1%58634 / 176
275.14.9%58343 / 81
276.14.9%58570 / 373
277.14.9%58733 / 383
278.14.7%58227 / 481
279.14.7%58352 / 474
280.14.6%58005 / 652
281.14.6%58214 / 313
282.14.6%58069 / 118
283.14.6%58031 / 352
284.14.5%58036 / 284
285.14.2%58651 / 529
286.14.2%58077 / 699
287.14.2%58532 / 285
288.14.2%58004 / 275
289.14.1%58029 / 192
290.14.0%58244 / 213
291.13.8%58496 / 250
292.13.6%58049 / 232
293.13.6%58233 / 280
294.13.5%58795 / 176
294.13.5%58843 / 446
296.13.5%58731 / 300
297.13.4%58494 / 362
297.13.4%58741 / 648
299.13.4%58785 / 1,121
300.13.3%58626 / 265
301.13.2%58630 / 422
302.12.9%58047 / 3,996
303.12.8%58338 / 97
304.12.8%58475 / 166
305.12.8%58572 / 373
306.12.7%58632 / 165
307.12.6%58558 / 758
308.12.6%58424 / 252
309.12.6%58384 / 529
309.12.6%58734 / 273
311.12.5%58216 / 93
312.12.3%58477 / 176
313.12.2%58769 / 256
314.12.1%58565 / 184
315.12.0%58015 / 267
316.11.8%58339 / 25
317.11.5%58569 / 53
318.11.2%58274 / 1,186
319.11.1%58061 / 429
320.11.0%58487 / 517
321.10.8%58059 / 1,218
322.10.8%58361 / 263
323.10.6%58772 / 128
324.10.4%58033 / 448
325.10.3%58385 / 325
326.10.3%58744 / 139
327.10.3%58653 / 573
328.10.0%58838 / 218
329.9.7%58278 / 1,861
330.9.4%58331 / 120
331.9.3%58439 / 169
332.9.2%58758 / 266
333.9.0%58771 / 562
334.8.9%58531 / 369
335.8.8%58620 / 221
336.8.6%58464 / 277
337.8.4%58258 / 240
338.8.3%58641 / 106
339.7.9%58363 / 145
340.7.8%58564 / 155
341.7.8%58521 / 658
342.7.6%58480 / 339
343.7.5%58327 / 355
344.7.4%58056 / 135
345.7.2%58386 / 194
346.6.8%58783 / 406
347.6.6%58062 / 228
348.6.4%58241 / 102
349.6.1%58486 / 115
350.5.6%58281 / 128
350.5.6%58549 / 154
352.5.3%58057 / 193
353.5.1%58079 / 423
354.4.6%58042 / 1,384
354.4.6%58762 / 219
356.3.8%58415 / 138
357.3.5%58422 / 304
358.3.5%58223 / 219
359.2.9%58844 / 167
360.2.5%58423 / 75
361.2.3%58426 / 217
362.2.2%58642 / 334
363.2.1%58779 / 498
364.1.2%58260 / 170

Please note that we only rank locations with 'Occupied House with 1 Vehicle' data. The rank above might not be a complete list. Locations without 'Occupied House with 1 Vehicle' 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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