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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pocahontas County, WV
Series ID MHICILBWV54075A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 16381
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18182
1994-01-01 .
1995-01-01 19432
1996-01-01 .
1997-01-01 20840
1998-01-01 22260
1999-01-01 24503
2000-01-01 25234
2001-01-01 24475
2002-01-01 24981
2003-01-01 25866
2004-01-01 26957
2005-01-01 28178
2006-01-01 27534
2007-01-01 28711
2008-01-01 28056
2009-01-01 27654
2010-01-01 28607
2011-01-01 32004
2012-01-01 28143
2013-01-01 29075
2014-01-01 31124
2015-01-01 33820
2016-01-01 32014
2017-01-01 31472
2018-01-01 35808
2019-01-01 35331
2020-01-01 34808
2021-01-01 35863
2022-01-01 39462
2023-01-01 39015
2024-01-01 46646

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