Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, WV
Series ID MHICILBWV54019A052NCEN
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 15771
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17007
1994-01-01 .
1995-01-01 19522
1996-01-01 .
1997-01-01 20388
1998-01-01 21400
1999-01-01 23089
2000-01-01 23710
2001-01-01 23309
2002-01-01 23775
2003-01-01 24727
2004-01-01 25758
2005-01-01 26165
2006-01-01 26629
2007-01-01 28117
2008-01-01 30404
2009-01-01 29021
2010-01-01 28468
2011-01-01 29777
2012-01-01 30858
2013-01-01 31551
2014-01-01 34611
2015-01-01 34048
2016-01-01 36119
2017-01-01 34735
2018-01-01 34572
2019-01-01 37904
2020-01-01 38025
2021-01-01 36246
2022-01-01 44070

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