Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ohio County, WV
Series ID MHICILBWV54069A052NCEN
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 21569
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24509
1994-01-01 .
1995-01-01 26814
1996-01-01 .
1997-01-01 28994
1998-01-01 30038
1999-01-01 29599
2000-01-01 30619
2001-01-01 29829
2002-01-01 29957
2003-01-01 30933
2004-01-01 31900
2005-01-01 32087
2006-01-01 30601
2007-01-01 35479
2008-01-01 35468
2009-01-01 35057
2010-01-01 35929
2011-01-01 34042
2012-01-01 35127
2013-01-01 37949
2014-01-01 37921
2015-01-01 43196
2016-01-01 39918
2017-01-01 43735
2018-01-01 44287
2019-01-01 46244
2020-01-01 36370
2021-01-01 47679
2022-01-01 55137

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