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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Belmont County, OH
Series ID MHICIUBOH39013A052NCEN
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 1:51 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 24023
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26207
1994-01-01 .
1995-01-01 29144
1996-01-01 .
1997-01-01 29942
1998-01-01 31496
1999-01-01 31330
2000-01-01 32884
2001-01-01 31850
2002-01-01 32556
2003-01-01 33556
2004-01-01 35025
2005-01-01 36243
2006-01-01 38194
2007-01-01 37426
2008-01-01 40769
2009-01-01 39974
2010-01-01 40506
2011-01-01 42113
2012-01-01 44529
2013-01-01 42193
2014-01-01 44783
2015-01-01 47779
2016-01-01 49434
2017-01-01 54489
2018-01-01 52790
2019-01-01 53800
2020-01-01 55629
2021-01-01 54974
2022-01-01 59884

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