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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cross County, AR
Series ID MHICIUBAR05037A052NCEN
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.
DATE VALUE
1989-01-01 21346
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24453
1994-01-01 .
1995-01-01 27551
1996-01-01 .
1997-01-01 29343
1998-01-01 30440
1999-01-01 30388
2000-01-01 31922
2001-01-01 30881
2002-01-01 30299
2003-01-01 32294
2004-01-01 32744
2005-01-01 34392
2006-01-01 35427
2007-01-01 36439
2008-01-01 37456
2009-01-01 39059
2010-01-01 38387
2011-01-01 38723
2012-01-01 39098
2013-01-01 38839
2014-01-01 41806
2015-01-01 42663
2016-01-01 44862
2017-01-01 45536
2018-01-01 45073
2019-01-01 50054
2020-01-01 45127
2021-01-01 50710
2022-01-01 54183

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