Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McDowell County, WV
Series ID MHICILBWV54047A052NCEN
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 13300
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12746
1994-01-01 .
1995-01-01 14540
1996-01-01 .
1997-01-01 15429
1998-01-01 15937
1999-01-01 16643
2000-01-01 16499
2001-01-01 16044
2002-01-01 16184
2003-01-01 17174
2004-01-01 17779
2005-01-01 16892
2006-01-01 18468
2007-01-01 20105
2008-01-01 18696
2009-01-01 20178
2010-01-01 21979
2011-01-01 21697
2012-01-01 23106
2013-01-01 22824
2014-01-01 22745
2015-01-01 24329
2016-01-01 22151
2017-01-01 23682
2018-01-01 24314
2019-01-01 27195
2020-01-01 23169
2021-01-01 25581
2022-01-01 25675

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