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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clay County, AR
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 1:10 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.
1989-01-01 19026
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22061
1994-01-01 .
1995-01-01 25419
1996-01-01 .
1997-01-01 27900
1998-01-01 29629
1999-01-01 27703
2000-01-01 28941
2001-01-01 27848
2002-01-01 27296
2003-01-01 29004
2004-01-01 30244
2005-01-01 30495
2006-01-01 30123
2007-01-01 31660
2008-01-01 34450
2009-01-01 33017
2010-01-01 34588
2011-01-01 35805
2012-01-01 35460
2013-01-01 36449
2014-01-01 37051
2015-01-01 38770
2016-01-01 39429
2017-01-01 38208
2018-01-01 41027
2019-01-01 44804
2020-01-01 46016
2021-01-01 45622
2022-01-01 50777

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