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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Columbia County, AR

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Columbia County, AR
Series ID MHICIUBAR05027A052NCEN
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 1:53 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 22045
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24347
1994-01-01 .
1995-01-01 27654
1996-01-01 .
1997-01-01 29861
1998-01-01 31459
1999-01-01 30118
2000-01-01 31267
2001-01-01 30389
2002-01-01 30461
2003-01-01 31191
2004-01-01 32183
2005-01-01 32938
2006-01-01 33218
2007-01-01 40340
2008-01-01 38234
2009-01-01 35733
2010-01-01 37836
2011-01-01 36165
2012-01-01 38251
2013-01-01 40365
2014-01-01 41118
2015-01-01 41847
2016-01-01 38524
2017-01-01 42440
2018-01-01 45354
2019-01-01 47921
2020-01-01 51548
2021-01-01 49957
2022-01-01 52567

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