Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, AR
Series ID MHICIUBAR05087A052NCEN
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 19749
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23965
1994-01-01 .
1995-01-01 27068
1996-01-01 .
1997-01-01 29597
1998-01-01 31002
1999-01-01 29852
2000-01-01 31388
2001-01-01 30461
2002-01-01 30624
2003-01-01 30432
2004-01-01 33271
2005-01-01 36488
2006-01-01 35790
2007-01-01 38288
2008-01-01 35616
2009-01-01 36493
2010-01-01 37641
2011-01-01 37716
2012-01-01 36417
2013-01-01 39068
2014-01-01 42114
2015-01-01 44710
2016-01-01 42945
2017-01-01 44674
2018-01-01 47232
2019-01-01 53062
2020-01-01 51805
2021-01-01 55300
2022-01-01 56893

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