Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Arkansas County, AR
Series ID MHICIUBAR05001A052NCEN
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 22532
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25612
1994-01-01 .
1995-01-01 29335
1996-01-01 .
1997-01-01 31851
1998-01-01 33463
1999-01-01 32513
2000-01-01 34007
2001-01-01 32989
2002-01-01 32677
2003-01-01 34542
2004-01-01 35922
2005-01-01 37839
2006-01-01 36695
2007-01-01 40784
2008-01-01 40963
2009-01-01 41067
2010-01-01 41644
2011-01-01 41496
2012-01-01 40817
2013-01-01 41783
2014-01-01 39589
2015-01-01 44928
2016-01-01 42675
2017-01-01 47664
2018-01-01 48317
2019-01-01 56526
2020-01-01 57320
2021-01-01 56779
2022-01-01 58435

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