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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Faulkner County, AR
Series ID MHICIUBAR05045A052NCEN
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.
DATE VALUE
1989-01-01 26132
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31364
1994-01-01 .
1995-01-01 37239
1996-01-01 .
1997-01-01 38817
1998-01-01 41010
1999-01-01 40563
2000-01-01 42353
2001-01-01 41015
2002-01-01 41531
2003-01-01 42976
2004-01-01 43903
2005-01-01 45726
2006-01-01 45155
2007-01-01 48348
2008-01-01 46119
2009-01-01 51537
2010-01-01 49817
2011-01-01 53030
2012-01-01 53030
2013-01-01 53599
2014-01-01 54823
2015-01-01 54418
2016-01-01 55093
2017-01-01 56007
2018-01-01 58531
2019-01-01 63401
2020-01-01 63491
2021-01-01 61641
2022-01-01 66211

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