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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gilmer 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 14849
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16275
1994-01-01 .
1995-01-01 17446
1996-01-01 .
1997-01-01 19479
1998-01-01 20688
1999-01-01 21759
2000-01-01 22295
2001-01-01 21933
2002-01-01 22041
2003-01-01 23334
2004-01-01 24840
2005-01-01 24189
2006-01-01 26612
2007-01-01 31727
2008-01-01 26751
2009-01-01 28320
2010-01-01 28546
2011-01-01 29945
2012-01-01 29724
2013-01-01 31934
2014-01-01 29257
2015-01-01 32797
2016-01-01 31938
2017-01-01 31614
2018-01-01 34142
2019-01-01 35526
2020-01-01 35402
2021-01-01 35680
2022-01-01 39977

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