Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mineral County, WV
Series ID MHICIUBWV54057A052NCEN
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 25929
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28049
1994-01-01 .
1995-01-01 30527
1996-01-01 .
1997-01-01 32602
1998-01-01 33582
1999-01-01 33148
2000-01-01 34657
2001-01-01 33803
2002-01-01 34486
2003-01-01 36080
2004-01-01 37792
2005-01-01 37888
2006-01-01 40221
2007-01-01 38599
2008-01-01 45544
2009-01-01 41546
2010-01-01 41993
2011-01-01 41780
2012-01-01 42482
2013-01-01 42009
2014-01-01 43888
2015-01-01 46884
2016-01-01 47941
2017-01-01 49967
2018-01-01 52685
2019-01-01 55123
2020-01-01 57190
2021-01-01 61171
2022-01-01 64949

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