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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, WV
Series ID MHICIUBWV54035A052NCEN
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 7:01 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 24681
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28731
1994-01-01 .
1995-01-01 32258
1996-01-01 .
1997-01-01 33840
1998-01-01 34946
1999-01-01 34392
2000-01-01 36291
2001-01-01 35133
2002-01-01 35931
2003-01-01 36604
2004-01-01 37774
2005-01-01 39082
2006-01-01 42094
2007-01-01 44021
2008-01-01 44409
2009-01-01 42868
2010-01-01 42094
2011-01-01 44529
2012-01-01 42982
2013-01-01 41801
2014-01-01 45388
2015-01-01 49042
2016-01-01 47310
2017-01-01 49913
2018-01-01 53044
2019-01-01 56995
2020-01-01 59687
2021-01-01 62579
2022-01-01 61037
2023-01-01 58134
2024-01-01 69772

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