Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mason County, WV
Series ID MHICILBWV54053A052NCEN
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 20135
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21708
1994-01-01 .
1995-01-01 24267
1996-01-01 .
1997-01-01 25551
1998-01-01 26850
1999-01-01 26291
2000-01-01 26783
2001-01-01 26311
2002-01-01 26726
2003-01-01 27663
2004-01-01 28626
2005-01-01 29512
2006-01-01 29693
2007-01-01 31409
2008-01-01 31020
2009-01-01 31970
2010-01-01 33552
2011-01-01 31849
2012-01-01 33654
2013-01-01 33338
2014-01-01 32383
2015-01-01 32454
2016-01-01 38833
2017-01-01 36052
2018-01-01 38923
2019-01-01 43384
2020-01-01 38421
2021-01-01 39469
2022-01-01 43231

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