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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Arkansas County, AR
Series ID MHICILBAR05001A052NCEN
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 1:55 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 17940
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20929
1994-01-01 .
1995-01-01 23186
1996-01-01 .
1997-01-01 25616
1998-01-01 27317
1999-01-01 28532
2000-01-01 29260
2001-01-01 28702
2002-01-01 28390
2003-01-01 30481
2004-01-01 31736
2005-01-01 31804
2006-01-01 31158
2007-01-01 33905
2008-01-01 33628
2009-01-01 34319
2010-01-01 34614
2011-01-01 34348
2012-01-01 34997
2013-01-01 35211
2014-01-01 33229
2015-01-01 37430
2016-01-01 36777
2017-01-01 39840
2018-01-01 39457
2019-01-01 48552
2020-01-01 45052
2021-01-01 45077
2022-01-01 45855

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