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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pleasants County, WV
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 1:53 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.
1989-01-01 21116
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23305
1994-01-01 .
1995-01-01 24897
1996-01-01 .
1997-01-01 26576
1998-01-01 27809
1999-01-01 29903
2000-01-01 31220
2001-01-01 30739
2002-01-01 31765
2003-01-01 33732
2004-01-01 35476
2005-01-01 34058
2006-01-01 35042
2007-01-01 36470
2008-01-01 38137
2009-01-01 36304
2010-01-01 36512
2011-01-01 37407
2012-01-01 39934
2013-01-01 39022
2014-01-01 40292
2015-01-01 43803
2016-01-01 42160
2017-01-01 41950
2018-01-01 45385
2019-01-01 48539
2020-01-01 49162
2021-01-01 47611
2022-01-01 49677

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