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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mason County, WV
Series ID MHICIUBWV54053A052NCEN
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 24579
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26219
1994-01-01 .
1995-01-01 30487
1996-01-01 .
1997-01-01 31822
1998-01-01 33063
1999-01-01 30083
2000-01-01 31218
2001-01-01 30299
2002-01-01 30784
2003-01-01 31475
2004-01-01 32596
2005-01-01 33617
2006-01-01 34602
2007-01-01 37861
2008-01-01 37312
2009-01-01 38494
2010-01-01 39006
2011-01-01 38415
2012-01-01 39806
2013-01-01 39570
2014-01-01 39215
2015-01-01 38980
2016-01-01 45541
2017-01-01 44576
2018-01-01 47177
2019-01-01 52122
2020-01-01 50193
2021-01-01 49251
2022-01-01 52923
2023-01-01 58200
2024-01-01 62511

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