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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clay County, AR
Series ID MHICILBAR05021A052NCEN
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 14400
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16914
1994-01-01 .
1995-01-01 19247
1996-01-01 .
1997-01-01 21553
1998-01-01 23389
1999-01-01 24248
2000-01-01 24857
2001-01-01 24146
2002-01-01 23642
2003-01-01 25541
2004-01-01 26648
2005-01-01 25582
2006-01-01 25600
2007-01-01 26603
2008-01-01 29371
2009-01-01 28120
2010-01-01 29364
2011-01-01 29323
2012-01-01 29824
2013-01-01 30527
2014-01-01 30601
2015-01-01 31878
2016-01-01 32645
2017-01-01 32120
2018-01-01 34347
2019-01-01 36568
2020-01-01 41430
2021-01-01 37216
2022-01-01 42933

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