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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cabell County, WV
Series ID MHICIUBWV54011A052NCEN
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 1:09 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 24790
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27371
1994-01-01 .
1995-01-01 30561
1996-01-01 .
1997-01-01 32307
1998-01-01 33454
1999-01-01 31026
2000-01-01 31861
2001-01-01 30985
2002-01-01 31647
2003-01-01 32679
2004-01-01 33526
2005-01-01 34664
2006-01-01 36334
2007-01-01 35548
2008-01-01 35548
2009-01-01 37240
2010-01-01 38894
2011-01-01 39267
2012-01-01 38992
2013-01-01 40759
2014-01-01 36869
2015-01-01 41878
2016-01-01 42721
2017-01-01 41793
2018-01-01 42773
2019-01-01 45325
2020-01-01 49071
2021-01-01 50452
2022-01-01 55844

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