Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bradley County, AR
Series ID MHICILBAR05011A052NCEN
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 15388
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18132
1994-01-01 .
1995-01-01 19237
1996-01-01 .
1997-01-01 21346
1998-01-01 23523
1999-01-01 23540
2000-01-01 23859
2001-01-01 23399
2002-01-01 23820
2003-01-01 24932
2004-01-01 25931
2005-01-01 24997
2006-01-01 25939
2007-01-01 27485
2008-01-01 27621
2009-01-01 26244
2010-01-01 28104
2011-01-01 28301
2012-01-01 28930
2013-01-01 28600
2014-01-01 29467
2015-01-01 34649
2016-01-01 30860
2017-01-01 32243
2018-01-01 34162
2019-01-01 35192
2020-01-01 35203
2021-01-01 35403
2022-01-01 39424
2023-01-01 38850

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