Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harrison County, WV
Series ID MHICIUBWV54033A052NCEN
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 24029
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26384
1994-01-01 .
1995-01-01 29543
1996-01-01 .
1997-01-01 31972
1998-01-01 33423
1999-01-01 32779
2000-01-01 34919
2001-01-01 33552
2002-01-01 33333
2003-01-01 34531
2004-01-01 35799
2005-01-01 38128
2006-01-01 38939
2007-01-01 40871
2008-01-01 41363
2009-01-01 42640
2010-01-01 43571
2011-01-01 42948
2012-01-01 44709
2013-01-01 44753
2014-01-01 44559
2015-01-01 50387
2016-01-01 50285
2017-01-01 55532
2018-01-01 51985
2019-01-01 56852
2020-01-01 58670
2021-01-01 55414
2022-01-01 62615

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