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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, AR
Series ID MHICIUBAR05053A052NCEN
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 27551
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30874
1994-01-01 .
1995-01-01 35177
1996-01-01 .
1997-01-01 38580
1998-01-01 40454
1999-01-01 39741
2000-01-01 41528
2001-01-01 40924
2002-01-01 41802
2003-01-01 42983
2004-01-01 43403
2005-01-01 44958
2006-01-01 49502
2007-01-01 51399
2008-01-01 48908
2009-01-01 52746
2010-01-01 49646
2011-01-01 50942
2012-01-01 51254
2013-01-01 51767
2014-01-01 50202
2015-01-01 52048
2016-01-01 58990
2017-01-01 60454
2018-01-01 56855
2019-01-01 64336
2020-01-01 69989
2021-01-01 72102
2022-01-01 71247

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