Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harrison County, WV
Series ID MHICILBWV54033A052NCEN
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 19775
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22073
1994-01-01 .
1995-01-01 23729
1996-01-01 .
1997-01-01 25990
1998-01-01 27497
1999-01-01 28856
2000-01-01 30217
2001-01-01 29353
2002-01-01 29151
2003-01-01 30534
2004-01-01 31646
2005-01-01 33252
2006-01-01 34511
2007-01-01 35255
2008-01-01 34942
2009-01-01 37560
2010-01-01 37311
2011-01-01 36850
2012-01-01 37733
2013-01-01 39641
2014-01-01 39683
2015-01-01 43571
2016-01-01 42811
2017-01-01 47890
2018-01-01 43899
2019-01-01 50966
2020-01-01 45480
2021-01-01 48638
2022-01-01 52913

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