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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for White 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 1:53 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.
1989-01-01 22079
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25704
1994-01-01 .
1995-01-01 30090
1996-01-01 .
1997-01-01 31585
1998-01-01 33572
1999-01-01 33761
2000-01-01 35405
2001-01-01 34416
2002-01-01 34640
2003-01-01 36224
2004-01-01 37325
2005-01-01 38033
2006-01-01 39502
2007-01-01 40440
2008-01-01 42300
2009-01-01 41587
2010-01-01 43262
2011-01-01 46241
2012-01-01 44370
2013-01-01 45800
2014-01-01 45912
2015-01-01 46266
2016-01-01 48321
2017-01-01 47389
2018-01-01 48526
2019-01-01 50504
2020-01-01 48537
2021-01-01 54024
2022-01-01 61196

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