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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Roane County, WV
Series ID MHICILBWV54087A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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.
DATE VALUE
1989-01-01 16027
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17332
1994-01-01 .
1995-01-01 18544
1996-01-01 .
1997-01-01 20770
1998-01-01 22643
1999-01-01 23274
2000-01-01 24048
2001-01-01 23607
2002-01-01 23836
2003-01-01 25003
2004-01-01 26045
2005-01-01 24799
2006-01-01 26397
2007-01-01 27438
2008-01-01 28511
2009-01-01 27731
2010-01-01 28632
2011-01-01 26568
2012-01-01 27904
2013-01-01 33050
2014-01-01 29944
2015-01-01 32632
2016-01-01 32132
2017-01-01 33548
2018-01-01 32790
2019-01-01 37053
2020-01-01 36581
2021-01-01 36269
2022-01-01 38675
2023-01-01 42850
2024-01-01 43888

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