Regional Economics & Community Analysis Program

Poverty estimates for children and all people, current

Table ID: INC-7
Unit of measure: Number and percentage of persons
Vintage: 2005

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County IDArea NameAll ages, number in povertyAll ages, % in povertyAll ages, confidence interval for % in poverty (+/-)Under age 18, number in povertyUnder age 18, % in povertyUnder age 18, confidence interval for % in poverty (+/-)
19000Iowa308,71310.8%0.3%91,70013.9%0.8%
19001Adair County76210.0%2.0%20813.5%3.1%
19003Adams County43110.4%2.2%14717.0%4.0%
19005Allamakee County1,61211.3%2.2%53616.8%3.9%
19007Appanoose County2,31617.2%3.3%68823.8%5.5%
19009Audubon County6029.6%1.9%20214.3%3.3%
19011Benton County2,1087.9%1.5%62710.1%2.3%
19013Black Hawk County18,05315.0%1.9%4,94819.5%3.6%
19015Boone County2,2768.9%1.7%65711.7%2.7%
19017Bremer County1,6247.4%1.4%3507.5%1.7%
19019Buchanan County2,18310.6%2.1%83916.1%3.7%
19021Buena Vista County2,15811.5%2.2%67514.7%3.3%
19023Butler County1,3899.4%1.8%39212.6%2.9%
19025Calhoun County1,08311.2%2.2%29915.2%3.5%
19027Carroll County1,6378.0%1.4%4319.0%2.0%
19029Cass County1,75712.8%2.4%51417.9%4.0%
19031Cedar County1,1866.6%1.3%2997.7%1.8%
19033Cerro Gordo County4,49210.4%1.7%1,21213.0%2.8%
19035Cherokee County9858.3%1.6%28211.5%2.6%
19037Chickasaw County1,1189.0%1.8%35012.4%2.9%
19039Clarke County97110.8%2.1%36917.5%4.1%
19041Clay County1,5509.3%1.9%47613.2%3.0%
19043Clayton County1,79310.1%1.9%56814.5%3.3%
19045Clinton County5,87812.1%2.1%1,93917.6%3.9%
19047Crawford County1,86311.5%2.2%60515.6%3.5%
19049Dallas County2,6195.1%1.0%7526.2%1.4%
19051Davis County1,15613.7%2.7%43220.9%4.9%
19053Decatur County1,60120.5%4.0%40925.0%5.8%
19055Delaware County1,5859.0%1.8%49911.7%2.7%
19057Des Moines County5,27013.2%2.3%1,84820.6%4.4%
19059Dickinson County1,3088.0%1.6%3139.9%2.3%
19061Dubuque County7,5908.8%1.4%2,41011.5%2.3%
19063Emmet County1,00710.1%2.1%31114.5%3.4%
19065Fayette County2,46112.0%2.2%71215.9%3.5%
19067Floyd County1,82711.4%2.2%57416.1%3.6%
19069Franklin County9999.6%1.9%30313.1%3.1%
19071Fremont County80110.6%2.1%24614.7%3.4%
19073Greene County1,01510.4%2.1%33415.6%3.5%
19075Grundy County6945.7%1.1%1957.5%1.7%
19077Guthrie County1,0639.4%1.8%30912.8%2.9%
19079Hamilton County1,4208.9%1.8%43112.1%2.8%
19081Hancock County9037.8%1.5%2509.8%2.3%
19083Hardin County1,86910.9%2.1%58515.8%3.5%
19085Harrison County1,54910.0%1.9%49213.9%3.1%
19087Henry County2,12411.4%2.1%60514.3%3.1%
19089Howard County97510.4%2.2%31114.3%3.4%
19091Humboldt County99910.2%2.0%28814.1%3.3%
19093Ida County73910.3%2.0%20213.1%3.0%
19095Iowa County1,0216.5%1.3%2917.9%1.9%
19097Jackson County2,66013.3%2.4%81618.4%3.9%
19099Jasper County3,0448.5%1.6%83810.2%2.3%
19101Jefferson County2,05913.5%2.7%58019.0%4.4%
19103Johnson County18,22916.8%2.2%2,51012.0%2.3%
19105Jones County2,01010.7%2.0%55513.6%3.0%
19107Keokuk County1,30611.9%2.3%41416.5%3.8%
19109Kossuth County1,63210.3%2.0%48714.1%3.3%
19111Lee County4,55913.1%2.2%1,44618.6%4.0%
19113Linn County19,38310.0%1.6%6,06513.1%2.7%
19115Louisa County1,26510.9%2.2%43915.3%3.5%
19117Lucas County1,34314.2%2.9%46221.9%5.1%
19119Lyon County9047.8%1.6%2859.7%2.3%
19121Madison County1,0487.0%1.5%3078.6%2.0%
19123Mahaska County2,27510.5%2.0%70514.0%3.2%
19125Marion County2,7058.8%1.6%74910.4%2.3%
19127Marshall County4,33311.4%2.0%1,48016.2%3.6%
19129Mills County1,1758.1%1.6%39411.2%2.6%
19131Mitchell County1,11610.5%2.2%37614.8%3.5%
19133Monona County1,16112.6%2.6%32317.0%4.0%
19135Monroe County95112.4%2.5%34419.6%4.5%
19137Montgomery County1,29411.7%2.3%42216.9%3.8%
19139Muscatine County4,77011.4%2.0%1,56915.2%3.3%
19141O'Brien County1,2248.9%1.8%30910.3%2.4%
19143Osceola County5428.2%1.7%15610.4%2.4%
19145Page County1,95913.3%2.5%64720.5%4.4%
19147Palo Alto County1,05611.4%2.3%26513.3%3.1%
19149Plymouth County1,7417.1%1.4%5349.0%2.0%
19151Pocahontas County87511.3%2.1%25015.4%3.6%
19153Polk County30,8567.9%1.2%10,67511.0%2.1%
19155Pottawattamie County10,08911.5%1.8%3,29015.8%3.2%
19157Poweshiek County1,6929.8%1.9%45712.6%2.9%
19159Ringgold County83716.3%3.3%29527.2%6.2%
19161Sac County1,22711.9%2.4%35415.9%3.6%
19163Scott County19,10212.2%1.6%6,75417.7%3.1%
19165Shelby County1,0018.1%1.6%31511.4%2.7%
19167Sioux County2,1147.2%1.4%6308.2%1.9%
19169Story County12,40617.6%2.1%1,1729.4%2.0%
19171Tama County1,6929.7%1.8%55313.2%3.0%
19173Taylor County83613.0%2.5%21515.7%3.6%
19175Union County1,54813.3%2.6%46918.7%4.3%
19177Van Buren County1,06914.0%2.8%35921.9%5.0%
19179Wapello County5,10314.7%2.6%1,54519.7%4.3%
19181Warren County2,6766.5%1.2%7838.0%1.8%
19183Washington County2,16210.3%1.9%74014.7%3.2%
19185Wayne County97415.0%3.1%30922.4%5.2%
19187Webster County4,90513.6%2.4%1,48517.3%3.7%
19189Winnebago County1,0289.5%1.9%30913.2%3.0%
19191Winneshiek County1,6768.9%1.8%3388.7%2.0%
19193Woodbury County14,50414.6%2.4%5,56121.0%4.3%
19195Worth County6548.6%1.8%16710.4%2.5%
19197Wright County1,52411.4%2.1%48416.2%3.5%

Release Date: January 2008
Source: Small Area Income and Poverty Estimates Program, U.S. Census Bureau
Notes:

The Small Area Income and Poverty Estimates (SAIPE) program provides model-based estimates of poverty for states, counties, and school districts.

Poverty status is determined at the family level; either everyone in the family is in poverty or no one in the family is in poverty. The characteristics of the family used to determine poverty status are: number of people, number of related children under 18, and whether the primary householder is over age 65. An income threshold is determined given a particular family's set of characteristics; if that family's income is below that threshold, the family is in poverty.

Caution is urged in making comparisons between SAIPE estimates and direct-survey poverty estimates from the 2000 Census and the American Community Survey due to differences in methodology and coverage. Users are encouraged to read more about these differences at the U.S. Census Bureau's SAIPE website (http://www.census.gov/hhes/www/saipe/).

Confidence intervals provide a measure of an estimate's variability. The larger the confidence interval in relation to the size of the estimate, the less reliable the estimate. Add or subtract the confidence interval values above to obtain a 90-percent confidence interval for the estimated percentage of the population in poverty.