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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Boone County, WV
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 2022-01-01
Last Updated 2023-12-14 1:53 PM 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.
1989-01-01 18746
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19111
1994-01-01 .
1995-01-01 21953
1996-01-01 .
1997-01-01 23698
1998-01-01 25457
1999-01-01 25165
2000-01-01 25484
2001-01-01 24897
2002-01-01 25281
2003-01-01 26827
2004-01-01 27830
2005-01-01 27606
2006-01-01 29951
2007-01-01 32600
2008-01-01 29616
2009-01-01 35118
2010-01-01 34852
2011-01-01 34976
2012-01-01 35566
2013-01-01 34499
2014-01-01 34021
2015-01-01 34310
2016-01-01 32519
2017-01-01 35011
2018-01-01 34153
2019-01-01 39464
2020-01-01 44711
2021-01-01 36546
2022-01-01 41019

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