Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Woodruff County, AR
Series ID MHICILBAR05147A052NCEN
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 12786
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14975
1994-01-01 .
1995-01-01 16107
1996-01-01 .
1997-01-01 17474
1998-01-01 18862
1999-01-01 20843
2000-01-01 21525
2001-01-01 20747
2002-01-01 20279
2003-01-01 22205
2004-01-01 22850
2005-01-01 24637
2006-01-01 21946
2007-01-01 24418
2008-01-01 23531
2009-01-01 24157
2010-01-01 24487
2011-01-01 24613
2012-01-01 26681
2013-01-01 26236
2014-01-01 27101
2015-01-01 27852
2016-01-01 27103
2017-01-01 28818
2018-01-01 30572
2019-01-01 32470
2020-01-01 31890
2021-01-01 32643
2022-01-01 36038
2023-01-01 38151

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