Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McDowell County, WV
Series ID MHICIUBWV54047A052NCEN
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 1:51 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 18037
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17657
1994-01-01 .
1995-01-01 20856
1996-01-01 .
1997-01-01 21737
1998-01-01 22253
1999-01-01 19426
2000-01-01 19522
2001-01-01 18751
2002-01-01 18874
2003-01-01 19780
2004-01-01 20499
2005-01-01 20084
2006-01-01 22036
2007-01-01 23700
2008-01-01 22275
2009-01-01 24265
2010-01-01 26287
2011-01-01 25805
2012-01-01 27386
2013-01-01 27586
2014-01-01 26669
2015-01-01 28497
2016-01-01 26769
2017-01-01 29300
2018-01-01 30270
2019-01-01 31017
2020-01-01 29995
2021-01-01 31859
2022-01-01 32269

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