Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tyler County, WV
Series ID MHICILBWV54095A052NCEN
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 20397
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21999
1994-01-01 .
1995-01-01 23516
1996-01-01 .
1997-01-01 25803
1998-01-01 27475
1999-01-01 27862
2000-01-01 28460
2001-01-01 28318
2002-01-01 28841
2003-01-01 29765
2004-01-01 30727
2005-01-01 30737
2006-01-01 29086
2007-01-01 31758
2008-01-01 32232
2009-01-01 32952
2010-01-01 33470
2011-01-01 33445
2012-01-01 34349
2013-01-01 35703
2014-01-01 36965
2015-01-01 38262
2016-01-01 38005
2017-01-01 39591
2018-01-01 41056
2019-01-01 44627
2020-01-01 40635
2021-01-01 45252
2022-01-01 51776

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