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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Portage County, OH
Series ID MHICILBOH39133A052NCEN
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 28171
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32673
1994-01-01 .
1995-01-01 34982
1996-01-01 .
1997-01-01 37121
1998-01-01 38619
1999-01-01 39798
2000-01-01 41416
2001-01-01 40775
2002-01-01 40937
2003-01-01 41968
2004-01-01 43081
2005-01-01 44810
2006-01-01 43036
2007-01-01 47213
2008-01-01 49363
2009-01-01 47098
2010-01-01 46978
2011-01-01 47491
2012-01-01 49694
2013-01-01 49814
2014-01-01 49098
2015-01-01 50672
2016-01-01 48864
2017-01-01 56076
2018-01-01 60307
2019-01-01 54852
2020-01-01 58196
2021-01-01 61162
2022-01-01 66850

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