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USA.com / Ranks / South Dakota Vacant For Seasonal, Recreational, or Occasional Use Housing Units Percentage Zip Code Rank / Based on ACS 2008-2012 data*

South Dakota Vacant For Seasonal, Recreational, or Occasional Use Housing Units Percentage Zip Code Rank

Based on ACS 2008-2012 data*

A total of 255 results found. Show Results on Map.

RankVacant For Seasonal, Recreational, or Occasional Use Housing Units Percentage ▼Zip / Population
1.77.1%57247 / 207
2.75.3%57420 / 115
3.65.6%57239 / 325
4.50.7%57075 / 855
5.50.0%57541 / 51
6.45.9%57232 / 292
7.43.4%57648 / 257
8.39.6%57466 / 117
9.39.4%57227 / 308
10.38.3%57273 / 1,152
11.35.1%57631 / 350
12.34.9%57475 / 92
13.34.4%57442 / 1,671
14.33.9%57759 / 791
15.32.6%57745 / 2,051
16.32.5%57216 / 982
17.30.6%57279 / 1,029
18.29.2%57766 / 184
18.29.2%57751 / 893
20.29.0%57237 / 480
21.27.8%57358 / 78
22.27.1%57323 / 218
23.26.5%57754 / 3,563
24.25.9%57248 / 1,388
25.24.5%57016 / 729
26.24.3%57213 / 397
27.23.9%57644 / 164
28.23.5%57651 / 120
29.22.2%57634 / 101
30.22.0%57560 / 387
31.21.8%57732 / 2,155
32.21.7%57367 / 178
33.20.2%57052 / 401
34.18.7%57270 / 645
35.18.4%57067 / 483
36.18.3%57234 / 1,310
37.17.6%57538 / 202
38.17.5%57260 / 1,144
39.17.3%57220 / 948
40.17.1%57576 / 93
41.16.9%57335 / 278
42.16.9%57457 / 93
43.16.9%57481 / 532
44.16.8%57738 / 113
45.16.2%57265 / 245
46.15.9%57435 / 222
47.15.3%57649 / 306
48.15.3%57540 / 85
49.15.3%57264 / 231
49.15.3%57646 / 188
51.15.0%57342 / 511
52.14.8%57356 / 1,885
53.14.6%57562 / 106
54.13.6%57437 / 1,373
55.13.5%57473 / 303
56.12.8%57371 / 162
57.12.6%57341 / 183
58.12.2%57787 / 374
59.12.1%57638 / 1,834
60.12.0%57422 / 167
61.11.8%57448 / 453
62.11.8%57730 / 5,981
63.11.6%57261 / 247
64.11.5%57428 / 774
65.11.4%57574 / 78
66.11.2%57720 / 586
67.11.0%57747 / 5,336
68.10.9%57521 / 205
69.10.8%57762 / 438
70.10.7%57790 / 1,160
71.10.6%57750 / 393
72.10.6%57249 / 997
73.10.5%57317 / 602
74.10.3%57725 / 116
74.10.3%57468 / 278
76.10.2%57724 / 287
77.9.8%57580 / 4,356
78.9.7%57321 / 414
79.9.7%57441 / 762
80.9.6%57438 / 1,442
81.9.3%57452 / 249
82.8.9%57460 / 297
83.8.9%57470 / 191
84.8.8%57552 / 572
85.8.8%57650 / 81
86.8.7%57626 / 966
86.8.7%57716 / 401
86.8.7%57070 / 1,521
89.8.6%57223 / 1,221
90.8.5%57212 / 1,837
91.8.5%57337 / 71
92.8.4%57381 / 516
93.8.4%57363 / 1,007
94.8.3%57383 / 796
95.8.1%57382 / 1,483
96.8.0%57528 / 977
97.7.9%57451 / 2,136
98.7.7%57376 / 951
99.7.7%57531 / 224
99.7.7%57658 / 328
101.7.6%57062 / 2,287
102.7.6%57436 / 481
103.7.4%57543 / 940
104.7.4%57225 / 1,801
105.7.1%57369 / 2,200
106.7.0%57255 / 506
107.6.9%57029 / 1,887
108.6.9%57471 / 770
109.6.8%57385 / 1,184
110.6.8%57274 / 2,683
111.6.8%57620 / 432
112.6.6%57780 / 161
113.6.4%57456 / 826
114.6.3%57066 / 1,649
115.6.3%57365 / 585
116.6.2%57469 / 3,291
117.6.1%57623 / 1,126
118.6.1%57263 / 479
119.6.1%57246 / 134
119.6.1%57243 / 685
121.6.1%57567 / 1,140
122.6.0%57652 / 368
123.5.9%57330 / 864
124.5.8%57329 / 492
125.5.7%57315 / 1,006
126.5.7%57036 / 635
127.5.6%57657 / 287
128.5.6%57533 / 1,864
129.5.6%57584 / 44
130.5.4%57769 / 3,353
131.5.3%57601 / 3,928
132.5.3%57532 / 2,791
133.5.3%57660 / 65
134.5.2%57024 / 484
135.5.2%57359 / 719
136.5.1%57579 / 1,337
137.5.1%57313 / 1,134
138.5.0%57559 / 727
139.5.0%57386 / 103
140.4.9%57332 / 824
141.4.8%57791 / 186
142.4.8%57278 / 795
143.4.7%57259 / 440
144.4.6%57568 / 622
145.4.6%57477 / 165
146.4.5%57748 / 282
147.4.5%57256 / 101
148.4.4%57231 / 1,631
149.4.3%57042 / 8,609
150.4.3%57355 / 1,115
151.4.3%57564 / 1,052
152.4.1%57717 / 7,453
153.4.1%57735 / 1,627
154.4.0%57045 / 1,012
155.4.0%57368 / 1,208
156.3.9%57345 / 1,332
157.3.9%57570 / 2,144
158.3.8%57461 / 407
158.3.8%57632 / 657
160.3.8%57783 / 14,052
161.3.5%57268 / 542
162.3.5%57362 / 2,062
163.3.5%57642 / 1,894
164.3.3%57761 / 1,158
165.3.3%57078 / 18,699
166.3.3%57031 / 740
166.3.3%57269 / 383
168.3.2%57760 / 1,849
169.3.2%57311 / 1,502
170.3.2%57785 / 9,420
170.3.2%57702 / 32,509
172.3.1%57324 / 370
173.3.0%57523 / 1,189
174.3.0%57772 / 1,751
175.3.0%57219 / 777
176.2.9%57434 / 497
177.2.8%57752 / 2,044
178.2.8%57536 / 607
178.2.8%57073 / 777
180.2.8%57763 / 408
180.2.8%57476 / 468
182.2.8%57350 / 14,889
183.2.7%57401 / 30,103
184.2.6%57059 / 1,448
185.2.6%57432 / 490
186.2.6%57770 / 5,838
187.2.4%57551 / 1,981
188.2.4%57201 / 24,701
189.2.4%57001 / 1,537
190.2.4%57373 / 532
191.2.3%57340 / 351
192.2.3%57633 / 558
193.2.3%57012 / 973
194.2.2%57788 / 662
195.2.2%57241 / 982
195.2.2%57054 / 573
197.2.2%57266 / 628
198.2.1%57430 / 2,376
199.2.1%57331 / 621
200.2.1%57555 / 3,205
200.2.1%57348 / 513
202.2.1%57058 / 2,078
203.2.0%57548 / 1,406
204.2.0%57544 / 591
205.2.0%57656 / 688
206.2.0%57003 / 1,766
207.1.9%57064 / 5,108
208.1.8%57744 / 1,552
209.1.8%57026 / 1,377
210.1.8%57433 / 521
210.1.8%57072 / 762
212.1.8%57366 / 2,406
213.1.8%57703 / 14,333
214.1.7%57006 / 24,372
215.1.7%57226 / 2,316
215.1.7%57262 / 5,208
217.1.7%57773 / 315
217.1.7%57063 / 994
219.1.6%57353 / 827
219.1.6%57641 / 343
221.1.5%57221 / 855
222.1.5%57370 / 844
222.1.5%57775 / 356
224.1.4%57334 / 879
225.1.4%57529 / 535
226.1.3%57701 / 43,530
227.1.3%57501 / 16,205
228.1.3%57037 / 1,137
229.1.3%57446 / 382
230.1.2%57049 / 5,751
231.1.2%57314 / 742
231.1.2%57051 / 269
233.1.2%57328 / 1,094
234.1.2%57465 / 386
235.1.1%57380 / 3,510
236.1.1%57069 / 11,905
237.1.1%57106 / 39,873
238.1.1%57105 / 21,220
239.1.0%57005 / 10,615
240.1.0%57522 / 442
241.0.8%57018 / 1,462
242.0.7%57349 / 1,558
243.0.6%57035 / 1,197
243.0.6%57625 / 4,287
245.0.5%57319 / 1,153
246.0.5%57325 / 3,488
247.0.5%57039 / 3,049
248.0.5%57103 / 34,824
249.0.4%57025 / 2,826
250.0.4%57301 / 18,109
251.0.4%57572 / 2,224
252.0.3%57071 / 2,821
252.0.3%57104 / 26,806
254.0.2%57235 / 1,027
255.0.1%57718 / 6,357

Please note that we only rank locations with 'Vacant For Seasonal, Recreational, or Occasional Use Housing Units Percentage' data. The rank above might not be a complete list. Locations without 'Vacant For Seasonal, Recreational, or Occasional Use Housing Units Percentage' 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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