Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Vinton County, OH
Series ID MHICILBOH39163A052NCEN
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 3:13 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 17554
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19406
1994-01-01 .
1995-01-01 21439
1996-01-01 .
1997-01-01 23576
1998-01-01 25019
1999-01-01 27262
2000-01-01 28088
2001-01-01 27739
2002-01-01 28304
2003-01-01 29147
2004-01-01 30126
2005-01-01 29972
2006-01-01 31845
2007-01-01 34764
2008-01-01 31186
2009-01-01 31022
2010-01-01 31880
2011-01-01 32115
2012-01-01 32928
2013-01-01 34395
2014-01-01 34804
2015-01-01 37940
2016-01-01 37266
2017-01-01 36763
2018-01-01 38743
2019-01-01 40900
2020-01-01 42366
2021-01-01 41294
2022-01-01 45154
2023-01-01 47625

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