Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Woodruff County, AR
Series ID MHICIUBAR05147A052NCEN
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 2:32 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 17544
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20628
1994-01-01 .
1995-01-01 22303
1996-01-01 .
1997-01-01 23755
1998-01-01 25045
1999-01-01 23885
2000-01-01 25115
2001-01-01 23930
2002-01-01 23481
2003-01-01 25308
2004-01-01 25952
2005-01-01 28940
2006-01-01 26347
2007-01-01 28681
2008-01-01 28838
2009-01-01 29352
2010-01-01 29519
2011-01-01 30101
2012-01-01 31687
2013-01-01 32082
2014-01-01 32837
2015-01-01 34174
2016-01-01 33697
2017-01-01 35724
2018-01-01 38040
2019-01-01 40666
2020-01-01 43378
2021-01-01 42019
2022-01-01 46412
2023-01-01 48367

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