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USA.com / Ranks / New Hampshire Percentage of Houses with a Value of $200K - $300K Zip Code Rank / Based on ACS 2008-2012 data*

New Hampshire Percentage of Houses with a Value of $200K - $300K Zip Code Rank

Based on ACS 2008-2012 data*

A total of 244 results found. Show Results on Map.

RankPercentage of Houses with a Value of $200K - $300K ▼Zip / Population
1.100.0%03291 / 29
2.72.1%03293 / 77
3.70.5%03604 / 249
4.59.5%03850 / 254
5.56.0%03101 / 3,055
6.55.8%03884 / 3,992
7.55.7%03060 / 28,847
8.55.0%03273 / 302
9.54.5%03109 / 9,673
10.53.8%03047 / 1,488
11.52.0%03869 / 2,506
12.51.3%03849 / 1,440
13.51.2%03064 / 14,686
14.51.0%03845 / 869
15.50.9%03838 / 1,337
16.50.6%03242 / 4,839
17.50.0%03890 / 278
18.49.5%03275 / 11,504
19.49.4%03051 / 24,484
20.48.9%03873 / 5,634
21.48.9%03044 / 4,260
22.48.8%03218 / 805
23.48.7%03102 / 31,575
24.48.2%03103 / 36,780
24.48.2%03063 / 15,814
26.47.9%03224 / 2,419
27.47.2%03608 / 2,167
28.47.0%03082 / 1,411
29.47.0%03847 / 258
30.46.7%03784 / 3,859
31.46.7%03450 / 923
32.46.6%03281 / 8,779
33.46.1%03055 / 15,079
34.45.8%03852 / 579
35.45.3%03268 / 1,155
36.45.2%03062 / 27,476
37.45.2%03104 / 32,844
38.45.0%03034 / 3,970
39.44.9%03819 / 4,410
40.44.8%03820 / 30,041
41.44.8%03825 / 8,517
42.44.5%03052 / 8,263
43.44.4%03858 / 4,642
44.44.4%03811 / 6,756
45.44.3%03809 / 3,503
46.44.2%03086 / 3,791
47.44.0%03458 / 6,641
48.44.0%03878 / 11,816
49.43.9%03038 / 33,495
50.43.8%03106 / 13,382
51.43.8%03307 / 5,307
52.43.4%03042 / 6,352
53.43.2%03839 / 3,959
54.43.2%03826 / 2,629
55.42.8%03221 / 1,853
56.42.8%03258 / 2,532
57.42.5%03766 / 9,379
58.42.5%03290 / 4,689
59.42.3%03278 / 3,029
60.42.1%03263 / 4,104
61.42.1%03301 / 32,814
62.42.1%03037 / 4,229
63.41.9%03261 / 4,244
64.41.8%03071 / 5,100
65.41.3%03446 / 6,248
66.41.2%03237 / 2,499
67.41.2%03077 / 10,207
68.41.1%03231 / 370
69.41.1%03045 / 13,614
70.40.6%03837 / 1,262
71.40.3%03054 / 25,540
72.40.3%03046 / 2,756
73.39.8%03855 / 2,627
74.39.7%03303 / 15,671
75.39.5%03234 / 4,572
76.39.3%03887 / 2,086
77.39.3%03467 / 2,150
78.39.0%03753 / 2,928
79.38.5%03466 / 946
80.38.4%03452 / 5,462
81.38.1%03244 / 8,052
82.38.0%03304 / 7,571
83.37.9%03865 / 7,630
84.37.4%03284 / 1,115
85.37.4%03857 / 9,002
86.37.3%03053 / 23,967
87.37.3%03449 / 1,722
88.37.3%03894 / 6,286
89.37.1%03223 / 3,389
90.37.0%03456 / 890
91.37.0%03440 / 2,623
92.37.0%03285 / 2,282
93.36.9%03848 / 6,047
94.36.7%03230 / 1,290
95.36.2%03872 / 3,703
96.36.1%03269 / 2,958
97.36.0%03259 / 323
98.36.0%03256 / 2,229
99.35.9%03448 / 542
100.35.7%03442 / 1,384
100.35.7%03079 / 28,824
102.35.7%03813 / 3,916
103.35.6%03216 / 2,133
104.35.5%03830 / 1,468
105.35.5%03607 / 250
106.35.4%03464 / 998
107.35.2%03043 / 1,603
108.34.8%03752 / 767
109.34.7%03461 / 6,001
110.34.7%03032 / 4,993
111.34.5%03748 / 4,657
112.34.4%03861 / 4,334
113.34.3%03593 / 419
114.34.0%03841 / 6,272
115.33.9%03875 / 968
116.33.9%03076 / 12,850
117.33.7%03765 / 593
118.33.5%03444 / 1,709
119.33.4%03084 / 1,571
120.33.4%03255 / 2,110
121.33.3%03746 / 154
122.33.2%03602 / 2,604
123.32.8%03245 / 1,671
124.32.7%03586 / 596
125.32.6%03266 / 2,366
126.32.4%03583 / 812
127.32.4%03771 / 882
128.32.3%03445 / 700
129.32.2%03773 / 7,729
130.32.2%03851 / 3,987
131.32.1%03601 / 497
132.32.0%03882 / 1,344
133.32.0%03238 / 68
134.32.0%03276 / 8,414
135.31.9%03455 / 1,997
136.31.7%03447 / 2,567
137.31.7%03745 / 1,511
138.31.7%03853 / 907
138.31.7%03817 / 802
140.31.6%03264 / 7,543
141.31.6%03782 / 3,033
142.30.9%03431 / 25,388
143.30.7%03254 / 4,078
144.30.6%03867 / 20,066
145.30.6%03816 / 1,352
146.30.5%03287 / 1,318
147.30.3%03457 / 776
148.30.2%03220 / 7,360
149.30.1%03832 / 393
150.29.9%03810 / 1,737
151.29.6%03253 / 6,265
152.29.4%03864 / 1,747
153.29.4%03824 / 14,695
154.29.3%03833 / 20,993
155.29.0%03883 / 86
156.28.9%03595 / 726
157.28.9%03774 / 1,726
158.28.8%03580 / 1,494
159.28.8%03036 / 4,759
160.28.7%03842 / 14,983
161.28.6%03229 / 5,608
162.28.4%03249 / 7,140
163.28.2%03235 / 8,615
164.28.2%03801 / 21,799
165.28.2%03246 / 16,067
166.28.0%03227 / 867
167.28.0%03215 / 318
168.27.9%03048 / 3,696
169.27.9%03443 / 917
170.27.6%03070 / 5,287
171.27.6%03588 / 1,766
172.27.3%03860 / 3,815
173.27.2%03057 / 2,421
174.27.1%03827 / 3,155
175.27.0%03574 / 2,515
176.26.6%03592 / 1,334
177.26.0%03874 / 8,909
178.26.0%03226 / 1,034
179.25.6%03282 / 916
180.25.5%03280 / 1,071
181.25.2%03251 / 1,278
182.25.0%03262 / 1,180
183.24.9%03225 / 3,781
184.24.6%03222 / 5,692
185.24.4%03751 / 485
186.24.4%03740 / 761
187.24.4%03835 / 6,768
188.24.2%03777 / 1,451
189.24.1%03033 / 4,979
190.23.9%03779 / 827
191.23.6%03584 / 3,618
192.23.5%03243 / 1,210
193.22.9%03240 / 1,383
194.22.5%03260 / 762
195.22.4%03257 / 4,411
196.22.3%03846 / 986
197.22.2%03836 / 1,197
198.22.0%03031 / 11,201
199.21.6%03605 / 1,212
200.21.1%03741 / 4,231
201.20.9%03217 / 1,653
202.20.7%03818 / 3,599
203.20.5%03868 / 5,879
204.20.5%03241 / 797
205.20.3%03470 / 4,758
206.20.2%03581 / 3,211
207.20.2%03886 / 1,969
208.20.0%03785 / 2,706
209.19.7%03087 / 13,603
210.19.6%03561 / 5,958
211.19.4%03823 / 1,997
212.19.3%03814 / 2,316
213.19.2%03781 / 2,020
214.18.9%03768 / 1,857
215.18.7%03110 / 21,180
216.18.4%03233 / 170
217.18.1%03770 / 550
218.17.8%03840 / 3,571
219.17.1%03579 / 447
220.16.4%03590 / 1,067
221.16.3%03856 / 1,671
222.16.2%03862 / 4,323
223.15.6%03585 / 2,671
224.15.4%03049 / 7,679
225.14.9%03279 / 701
226.14.9%03582 / 2,715
227.14.5%03609 / 1,315
228.14.1%03750 / 1,048
229.13.9%03885 / 7,238
230.12.3%03597 / 458
231.12.3%03603 / 5,364
232.12.2%03462 / 1,787
233.12.1%03598 / 3,065
234.11.4%03451 / 4,046
235.11.3%03780 / 283
236.11.2%03743 / 14,036
237.11.0%03755 / 10,268
238.10.8%03465 / 2,121
239.10.1%03844 / 2,287
240.9.7%03576 / 3,206
241.6.6%03870 / 5,299
242.6.1%03570 / 10,009
243.5.9%03812 / 649
244.4.1%03854 / 990

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