Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hardy County, WV
Series ID MHICIUBWV54031A052NCEN
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 22705
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27373
1994-01-01 .
1995-01-01 30628
1996-01-01 .
1997-01-01 32429
1998-01-01 34001
1999-01-01 33756
2000-01-01 35479
2001-01-01 34648
2002-01-01 34931
2003-01-01 36040
2004-01-01 37662
2005-01-01 38612
2006-01-01 41142
2007-01-01 40855
2008-01-01 38542
2009-01-01 40072
2010-01-01 40462
2011-01-01 41501
2012-01-01 41795
2013-01-01 39519
2014-01-01 44530
2015-01-01 45323
2016-01-01 43783
2017-01-01 48356
2018-01-01 46534
2019-01-01 52020
2020-01-01 54588
2021-01-01 57760
2022-01-01 60312

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