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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Geauga County, OH
Series ID MHICIUBOH39055A052NCEN
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 42317
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47148
1994-01-01 .
1995-01-01 52480
1996-01-01 .
1997-01-01 55425
1998-01-01 57125
1999-01-01 61075
2000-01-01 64846
2001-01-01 64014
2002-01-01 63632
2003-01-01 63071
2004-01-01 65241
2005-01-01 71789
2006-01-01 68542
2007-01-01 72395
2008-01-01 64655
2009-01-01 65624
2010-01-01 67027
2011-01-01 70932
2012-01-01 74438
2013-01-01 74083
2014-01-01 74765
2015-01-01 81289
2016-01-01 83261
2017-01-01 87146
2018-01-01 90129
2019-01-01 84993
2020-01-01 94917
2021-01-01 97116
2022-01-01 109892

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