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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marshall County, WV
Series ID MHICILBWV54051A052NCEN
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.
DATE VALUE
1989-01-01 20431
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23637
1994-01-01 .
1995-01-01 24773
1996-01-01 .
1997-01-01 26254
1998-01-01 27430
1999-01-01 28876
2000-01-01 30132
2001-01-01 29666
2002-01-01 30102
2003-01-01 30823
2004-01-01 32200
2005-01-01 31317
2006-01-01 30614
2007-01-01 31801
2008-01-01 34934
2009-01-01 34834
2010-01-01 34338
2011-01-01 38683
2012-01-01 39902
2013-01-01 38114
2014-01-01 39100
2015-01-01 43944
2016-01-01 38625
2017-01-01 39004
2018-01-01 46510
2019-01-01 47657
2020-01-01 47503
2021-01-01 46260
2022-01-01 46374

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