Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pendleton County, WV
Series ID MHICIUBWV54071A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:05 AM 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 21742
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25944
1994-01-01 .
1995-01-01 28825
1996-01-01 .
1997-01-01 30502
1998-01-01 31758
1999-01-01 31621
2000-01-01 33852
2001-01-01 32998
2002-01-01 32837
2003-01-01 33322
2004-01-01 34931
2005-01-01 37083
2006-01-01 38093
2007-01-01 39466
2008-01-01 40062
2009-01-01 38981
2010-01-01 40153
2011-01-01 40787
2012-01-01 40323
2013-01-01 40284
2014-01-01 41924
2015-01-01 43461
2016-01-01 44222
2017-01-01 45609
2018-01-01 44166
2019-01-01 48260
2020-01-01 54127
2021-01-01 53950
2022-01-01 58524
2023-01-01 60334

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