Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wyoming County, WV
Series ID MHICILBWV54109A052NCEN
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 17689
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17759
1994-01-01 .
1995-01-01 19875
1996-01-01 .
1997-01-01 20863
1998-01-01 21768
1999-01-01 22384
2000-01-01 22812
2001-01-01 22655
2002-01-01 23225
2003-01-01 23946
2004-01-01 24907
2005-01-01 24489
2006-01-01 26945
2007-01-01 27863
2008-01-01 29088
2009-01-01 28953
2010-01-01 33446
2011-01-01 29549
2012-01-01 30314
2013-01-01 31146
2014-01-01 31098
2015-01-01 31583
2016-01-01 33115
2017-01-01 30852
2018-01-01 31589
2019-01-01 39623
2020-01-01 33416
2021-01-01 32877
2022-01-01 35493
2023-01-01 43152

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