2004 Average Monthly Housing Costs by State for Owner-occupied Housing Units With a Mortgage (Dollars)
Rank
State
Median
Lower Bound
Upper Bound
1
New Jersey
1,847
1,826
1,868
2
California
1,733
1,721
1,745
3
Hawaii
1,648
1,480
1,816
4
Massachusetts
1,645
1,622
1,668
5
District of Columbia
1,612
1,560
1,664
6
Connecticut
1,603
1,579
1,627
7
New York
1,525
1,502
1,548
8
New Hampshire
1,472
1,443
1,501
9
Rhode Island
1,469
1,445
1,493
10
Alaska
1,421
1,398
1,444
11
Maryland
1,406
1,381
1,431
12
Washington
1,389
1,374
1,404
13
Illinois
1,370
1,356
1,384
14
Colorado
1,355
1,287
1,423
15
Virginia
1,323
1,304
1,342
16
Nevada
1,274
1,236
1,312
17
Minnesota
1,260
1,230
1,290
18
Oregon
1,217
1,191
1,243
United States
1,212
1,208
1,216
19
Delaware
1,191
1,174
1,208
20
Vermont
1,174
1,151
1,197
21
Texas
1,166
1,152
1,180
22
Utah
1,164
1,138
1,190
23
Wisconsin
1,155
1,118
1,192
24
Florida
1,143
1,125
1,161
25
Michigan
1,137
1,122
1,152
26
Arizona
1,130
1,117
1,143
27
Georgia
1,126
1,113
1,139
28
Pennsylvania
1,114
1,099
1,129
29
Ohio
1,090
1,068
1,112
30
Nebraska
1,051
1,026
1,076
31
North Carolina
1,028
996
1,060
32
Maine
1,020
996
1,044
33
Kansas
1,013
977
1,049
34
South Carolina
987
960
1,014
35
Montana
974
942
1,006
36
Indiana
963
948
978
37
Missouri
954
940
968
37
Tennessee
954
942
966
37
Wyoming
954
913
995
40
Idaho
953
928
978
41
South Dakota
952
929
975
42
Iowa
942
916
968
43
New Mexico
935
895
975
44
Louisiana
902
882
922
44
North Dakota
902
885
919
46
Kentucky
888
870
906
47
Alabama
872
855
889
48
Oklahoma
871
846
896
49
Mississippi
843
806
880
50
Arkansas
773
758
788
51
West Virginia
769
730
808
Source: U.S. Census Bureau -
American Community Survey
*Lower bound (American Community Survey)
Represents the low end of the 90 percent confidence interval of an estimate from
a sample survey.
Statisticians calculate that they are 90 percent confident that the true number
falls between the upper and lower bounds.
**Upper bound
(American Community Survey)
Represents the high end of the 90 percent confidence interval of an estimate
from a sample survey.
Statisticians calculate that they are 90 percent confident that the true number
falls between the upper and lower bounds
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