Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, AR
Series ID MHICIUBAR05071A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 20130
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23881
1994-01-01 .
1995-01-01 28114
1996-01-01 .
1997-01-01 28621
1998-01-01 29653
1999-01-01 29234
2000-01-01 30920
2001-01-01 29910
2002-01-01 29979
2003-01-01 30634
2004-01-01 32129
2005-01-01 32856
2006-01-01 32502
2007-01-01 34402
2008-01-01 37593
2009-01-01 35306
2010-01-01 35173
2011-01-01 37519
2012-01-01 37015
2013-01-01 36801
2014-01-01 37827
2015-01-01 39145
2016-01-01 40984
2017-01-01 42770
2018-01-01 42938
2019-01-01 44756
2020-01-01 45253
2021-01-01 47432
2022-01-01 51258
2023-01-01 56794

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