Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marion County, WV
Series ID MHICILBWV54049A052NCEN
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 1:11 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 20038
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21831
1994-01-01 .
1995-01-01 23675
1996-01-01 .
1997-01-01 25021
1998-01-01 26017
1999-01-01 27104
2000-01-01 27959
2001-01-01 27627
2002-01-01 28279
2003-01-01 29656
2004-01-01 30862
2005-01-01 29515
2006-01-01 31274
2007-01-01 35270
2008-01-01 33136
2009-01-01 33765
2010-01-01 35896
2011-01-01 37034
2012-01-01 37738
2013-01-01 38555
2014-01-01 40368
2015-01-01 39824
2016-01-01 42361
2017-01-01 43146
2018-01-01 42436
2019-01-01 47595
2020-01-01 54301
2021-01-01 48456
2022-01-01 55192

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