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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Braxton County, WV
Series ID MHICILBWV54007A052NCEN
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.
DATE VALUE
1989-01-01 14511
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16788
1994-01-01 .
1995-01-01 18595
1996-01-01 .
1997-01-01 20300
1998-01-01 21939
1999-01-01 23133
2000-01-01 23625
2001-01-01 23211
2002-01-01 23966
2003-01-01 25098
2004-01-01 26351
2005-01-01 24866
2006-01-01 27176
2007-01-01 28515
2008-01-01 28078
2009-01-01 28239
2010-01-01 29493
2011-01-01 29338
2012-01-01 30135
2013-01-01 32136
2014-01-01 30465
2015-01-01 32412
2016-01-01 33040
2017-01-01 34019
2018-01-01 35357
2019-01-01 35017
2020-01-01 42618
2021-01-01 36765
2022-01-01 38998

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