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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harrison County, IA

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harrison County, IA
Series ID MHICILBIA19085A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:54 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 19920
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24602
1994-01-01 .
1995-01-01 26972
1996-01-01 .
1997-01-01 30611
1998-01-01 32243
1999-01-01 34990
2000-01-01 36459
2001-01-01 36249
2002-01-01 37032
2003-01-01 37745
2004-01-01 40043
2005-01-01 38675
2006-01-01 39733
2007-01-01 43386
2008-01-01 46759
2009-01-01 45939
2010-01-01 46744
2011-01-01 45644
2012-01-01 46484
2013-01-01 49859
2014-01-01 48266
2015-01-01 53477
2016-01-01 50121
2017-01-01 51063
2018-01-01 55151
2019-01-01 58888
2020-01-01 56926
2021-01-01 61648
2022-01-01 66417

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