Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Barbour County, WV
Series ID MHICILBWV54001A052NCEN
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 2:32 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 14608
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16087
1994-01-01 .
1995-01-01 17625
1996-01-01 .
1997-01-01 20163
1998-01-01 20932
1999-01-01 23297
2000-01-01 24064
2001-01-01 23589
2002-01-01 24312
2003-01-01 25891
2004-01-01 26569
2005-01-01 25425
2006-01-01 27940
2007-01-01 26372
2008-01-01 27954
2009-01-01 31633
2010-01-01 29010
2011-01-01 29980
2012-01-01 30090
2013-01-01 32987
2014-01-01 31979
2015-01-01 33707
2016-01-01 32942
2017-01-01 33412
2018-01-01 35612
2019-01-01 35327
2020-01-01 37377
2021-01-01 39467
2022-01-01 40545
2023-01-01 45248

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