Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, AR
Series ID MHICILBAR05071A052NCEN
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 2:33 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 15744
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19491
1994-01-01 .
1995-01-01 22133
1996-01-01 .
1997-01-01 22586
1998-01-01 23675
1999-01-01 25686
2000-01-01 26703
2001-01-01 26145
2002-01-01 26191
2003-01-01 27060
2004-01-01 28372
2005-01-01 28235
2006-01-01 27328
2007-01-01 28771
2008-01-01 31022
2009-01-01 29105
2010-01-01 29479
2011-01-01 30845
2012-01-01 31629
2013-01-01 30467
2014-01-01 32019
2015-01-01 32609
2016-01-01 33426
2017-01-01 36826
2018-01-01 35824
2019-01-01 36036
2020-01-01 33625
2021-01-01 38574
2022-01-01 42062
2023-01-01 43980

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