Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Logan County, WV
Series ID MHICIUBWV54045A052NCEN
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 21925
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23269
1994-01-01 .
1995-01-01 26594
1996-01-01 .
1997-01-01 27690
1998-01-01 28140
1999-01-01 26082
2000-01-01 26935
2001-01-01 26571
2002-01-01 27432
2003-01-01 28481
2004-01-01 30105
2005-01-01 30043
2006-01-01 32818
2007-01-01 35076
2008-01-01 35901
2009-01-01 37656
2010-01-01 35746
2011-01-01 36860
2012-01-01 36271
2013-01-01 39089
2014-01-01 39606
2015-01-01 38707
2016-01-01 39194
2017-01-01 38487
2018-01-01 37622
2019-01-01 42579
2020-01-01 44294
2021-01-01 44290
2022-01-01 47396

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