Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for West Virginia

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for West Virginia
Series ID MHICILBWV54000A052NCEN
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 1:11 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 21456
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22072
1994-01-01 .
1995-01-01 23961
1996-01-01 24151
1997-01-01 25893
1998-01-01 26738
1999-01-01 28742
2000-01-01 28527
2001-01-01 29622
2002-01-01 29027
2003-01-01 31497
2004-01-01 32485
2005-01-01 32736
2006-01-01 34444
2007-01-01 36348
2008-01-01 36557
2009-01-01 36756
2010-01-01 37435
2011-01-01 37770
2012-01-01 39520
2013-01-01 40477
2014-01-01 40399
2015-01-01 41200
2016-01-01 42135
2017-01-01 41975
2018-01-01 43071
2019-01-01 47569
2020-01-01 48077
2021-01-01 50059
2022-01-01 52812

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