Regional Capacity Analysis Program

Age of housing units

Table: HOU-4
2000
Number of housing units by year built

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Show values as percentages

County IDArea Name1990 to 20001980 to 19891970 to 19791960 to 19691950 to 19591940 to 1949Before 1949All HousingMedian Year Built
19000Iowa151,40499,157206,519146,038145,54494,695389,1541,232,5111959
19001Adair County2712605413243513291,6143,6901947
19003Adams County1381231881791952231,0632,109pre-1940
19005Allamakee County8775731,1598256133632,7327,1421958
19007Appanoose County5825161,3326006255752,4676,6971955
19009Audubon County1211213802404022771,4542,9951942
19011Benton County1,6726691,4279597386714,24110,3771954
19013Black Hawk County4,0043,2709,6277,49010,6385,22811,50251,7591959
19015Boone County1,2767331,4688521,0567864,79710,9681949
19017Bremer County8615751,7839711,0396583,4509,3371955
19019Buchanan County9986531,6201,0607265843,0568,6971960
19021Buena Vista County4575331,1397971,2769323,0118,1451951
19023Butler County3933231,0685626595333,0406,5781945
19025Calhoun County2723846515435854232,3615,2191946
19027Carroll County1,2116121,2759639878743,0979,0191955
19029Cass County3043807907516815833,1016,5901943
19031Cedar County8265421,1385737695843,1387,5701951
19033Cerro Gordo County1,3071,4863,4342,1043,6732,3687,11621,4881953
19035Cherokee County3062867437206705032,6225,8501946
19037Chickasaw County6023729824973603422,4385,5931950
19039Clarke County3804377304522912181,4263,9341961
19041Clay County6143771,2741,0561,2238572,4277,8281955
19043Clayton County8945231,0766576086054,2568,6191941
19045Clinton County1,2741,0603,0172,6302,9382,1498,51721,5851950
19047Crawford County3206101,1308286535072,9106,9581951
19049Dallas County5,4391,2892,3811,2541,0587714,33716,5291974
19051Davis County3352426613533322331,3743,5301955
19053Decatur County4473506763193692341,4383,8331957
19055Delaware County1,0006301,3978185125172,8087,6821960
19057Des Moines County1,5679112,7222,0092,0221,6977,71518,6431949
19059Dickinson County2,1781,1912,2801,4111,3228302,16311,3751970
19061Dubuque County4,2742,1766,0525,2153,9932,27411,52135,5051960
19063Emmet County1731766154178584722,1784,8891946
19065Fayette County6835281,1609291,0557654,3859,5051945
19067Floyd County3563981,0571,1389677552,6467,3171953
19069Franklin County1611516403927005252,1944,7631944
19071Fremont County2141965393873632321,5833,5141948
19073Greene County2412436014454994352,1594,6231944
19075Grundy County3582938544907244912,0945,3041951
19077Guthrie County5885728984483733762,2125,4671954
19079Hamilton County4884611,0226759435452,9487,0821951
19081Hancock County2913319295635994741,9775,1641952
19083Hardin County3733611,3129579308573,5288,3181947
19085Harrison County7053969434814383703,2696,6021941
19087Henry County1,1527601,6079016134322,7818,2461963
19089Howard County3662535544173953232,0194,3271944
19091Humboldt County2643087725295743811,8174,6451952
19093Ida County2402713742743602491,7383,5061941
19095Iowa County8844458296214923822,8926,5451950
19097Jackson County9077501,6749549454993,2208,9491958
19099Jasper County2,1591,1172,4051,6102,1731,2534,94215,6591958
19101Jefferson County9079188777817354792,5447,2411958
19103Johnson County10,9907,1259,6696,3443,4761,5796,64845,8311975
19105Jones County1,2195671,1658906845093,0928,1261957
19107Keokuk County3233166824323693412,5505,013pre-1940
19109Kossuth County3605341,2077289777953,0047,6051950
19111Lee County1,1611,1382,5281,9271,9031,4426,51316,6121952
19113Linn County14,8226,66414,39212,56911,0374,36816,69980,5511967
19115Louisa County4504309885803953231,9675,1331957
19117Lucas County3563067503692783221,8584,2391948
19119Lyon County3882617023825584472,0204,7581948
19121Madison County9234418583833232282,5055,6611953
19123Mahaska County1,1308011,4347599479293,5519,5511953
19125Marion County1,9081,1572,5531,5141,2837993,54112,7551965
19127Marshall County1,2627082,8802,1712,1831,1875,93316,3241955
19129Mills County1,1104231,0815953093041,8495,6711966
19131Mitchell County4492935593224723342,1654,5941944
19133Monona County3182696103875033802,1934,6601944
19135Monroe County3472746202892172481,5933,5881948
19137Montgomery County3142726894555505392,5805,3991942
19139Muscatine County1,8831,3843,1131,9311,4131,1035,95916,7861959
19141O'Brien County3823781,0126478655882,6376,5091950
19143Osceola County1581723392574173071,3623,0121945
19145Page County5143189936188737383,2487,3021945
19147Palo Alto County2762547074646904481,7924,6311951
19149Plymouth County1,3706961,4711,0231,1088123,4009,8801957
19151Pocahontas County1311705753674364071,9023,9881942
19153Polk County27,16619,43327,19319,30420,88412,19230,275156,4471968
19155Pottawattamie County4,1412,8435,2394,7085,1752,69110,96435,7611958
19157Poweshiek County1,1028341,4659257434273,0608,5561961
19159Ringgold County3192524811461782261,1872,7891949
19161Sac County2512326805747106872,3265,4601946
19163Scott County7,2895,30514,70510,6047,6815,38414,68165,6491965
19165Shelby County3183678445965243812,4295,4591948
19167Sioux County1,3828811,9611,3901,1788713,59711,2601960
19169Story County5,8573,3096,7594,4322,8841,6705,71930,6301971
19171Tama County7353739526417185723,5927,5831943
19173Taylor County1871604192512642421,6763,199pre-1940
19175Union County4313627416315463462,6005,6571947
19177Van Buren County4372755592861841821,6583,5811947
19179Wapello County1,2328841,8741,5032,4791,9545,94715,8731950
19181Warren County2,7691,7493,8902,1601,3745562,79115,2891972
19183Washington County1,1505781,1468416167133,4998,5431951
19185Wayne County2491695443552632791,4983,3571946
19187Webster County9427032,5012,1122,6141,7166,38116,9691951
19189Winnebago County3963099266105815151,7285,0651955
19191Winneshiek County9586991,1026475954663,7418,2081948
19193Woodbury County4,2762,4605,7054,5075,7124,08214,65241,3941953
19195Worth County1991945152143693211,7223,5341941
19197Wright County3643009387779067222,5526,5591950

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Source: Prepared by the State Library of Iowa, State Data Center Program with data from the 2000 Census, U.S. Census Bureau
Release Date: September 2002
Notes:

  • The 1990 to 2000* period includes housing units built through March of 2000 only.
  • The median value divides a distribution into two groups, with half of the cases falling below the median and half of the cases above the median.