Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Raleigh County, WV
Series ID MHICIUBWV54081A052NCEN
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 2:31 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 23573
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25158
1994-01-01 .
1995-01-01 29242
1996-01-01 .
1997-01-01 30816
1998-01-01 31896
1999-01-01 29885
2000-01-01 31280
2001-01-01 30742
2002-01-01 31594
2003-01-01 32733
2004-01-01 33830
2005-01-01 34325
2006-01-01 38935
2007-01-01 40126
2008-01-01 37535
2009-01-01 39246
2010-01-01 41004
2011-01-01 40905
2012-01-01 42419
2013-01-01 42498
2014-01-01 43079
2015-01-01 41541
2016-01-01 45576
2017-01-01 44354
2018-01-01 45490
2019-01-01 49739
2020-01-01 50976
2021-01-01 46744
2022-01-01 53978
2023-01-01 58865

Subscribe to the FRED newsletter


Follow us

Back to Top