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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mercer County, WV
Series ID MHICIUBWV54055A052NCEN
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 23320
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25334
1994-01-01 .
1995-01-01 28002
1996-01-01 .
1997-01-01 29277
1998-01-01 30060
1999-01-01 28506
2000-01-01 29757
2001-01-01 28728
2002-01-01 29207
2003-01-01 30016
2004-01-01 30871
2005-01-01 31344
2006-01-01 32083
2007-01-01 34630
2008-01-01 33798
2009-01-01 34669
2010-01-01 34813
2011-01-01 35423
2012-01-01 36902
2013-01-01 37223
2014-01-01 38157
2015-01-01 38272
2016-01-01 40061
2017-01-01 39608
2018-01-01 40385
2019-01-01 44601
2020-01-01 46373
2021-01-01 49271
2022-01-01 48166

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