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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Montgomery County, OH
Series ID MHICIUBOH39113A052NCEN
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 1:09 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 30894
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34901
1994-01-01 .
1995-01-01 36896
1996-01-01 .
1997-01-01 39765
1998-01-01 41326
1999-01-01 41027
2000-01-01 43853
2001-01-01 42994
2002-01-01 43159
2003-01-01 43715
2004-01-01 44373
2005-01-01 42558
2006-01-01 42643
2007-01-01 45442
2008-01-01 46687
2009-01-01 42800
2010-01-01 42037
2011-01-01 42443
2012-01-01 44527
2013-01-01 44639
2014-01-01 44477
2015-01-01 48123
2016-01-01 48927
2017-01-01 49592
2018-01-01 52803
2019-01-01 56982
2020-01-01 57843
2021-01-01 58391
2022-01-01 65206

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