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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Belmont County, OH
Series ID MHICILBOH39013A052NCEN
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 1:54 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 19725
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21909
1994-01-01 .
1995-01-01 23515
1996-01-01 .
1997-01-01 24165
1998-01-01 25750
1999-01-01 27634
2000-01-01 28524
2001-01-01 27921
2002-01-01 28523
2003-01-01 29682
2004-01-01 30922
2005-01-01 31844
2006-01-01 32927
2007-01-01 34134
2008-01-01 35114
2009-01-01 34972
2010-01-01 35320
2011-01-01 38487
2012-01-01 39823
2013-01-01 36335
2014-01-01 39183
2015-01-01 43571
2016-01-01 41888
2017-01-01 49953
2018-01-01 45188
2019-01-01 46532
2020-01-01 45623
2021-01-01 46230
2022-01-01 51262

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