Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Raleigh County, WV
Series ID MHICILBWV54081A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 19222
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20733
1994-01-01 .
1995-01-01 23442
1996-01-01 .
1997-01-01 24895
1998-01-01 26024
1999-01-01 26271
2000-01-01 27094
2001-01-01 26891
2002-01-01 27614
2003-01-01 28937
2004-01-01 29878
2005-01-01 29108
2006-01-01 34731
2007-01-01 34397
2008-01-01 31642
2009-01-01 32731
2010-01-01 34826
2011-01-01 35407
2012-01-01 37979
2013-01-01 37498
2014-01-01 37461
2015-01-01 35587
2016-01-01 38988
2017-01-01 38218
2018-01-01 37106
2019-01-01 41033
2020-01-01 38076
2021-01-01 38306
2022-01-01 48656
2023-01-01 48047

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