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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Geauga County, OH
Series ID MHICILBOH39055A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 37817
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42678
1994-01-01 .
1995-01-01 46599
1996-01-01 .
1997-01-01 49408
1998-01-01 51066
1999-01-01 53696
2000-01-01 56057
2001-01-01 55904
2002-01-01 55496
2003-01-01 55633
2004-01-01 57512
2005-01-01 63993
2006-01-01 59799
2007-01-01 63974
2008-01-01 59791
2009-01-01 59189
2010-01-01 59317
2011-01-01 61244
2012-01-01 63990
2013-01-01 64073
2014-01-01 69763
2015-01-01 71341
2016-01-01 72615
2017-01-01 78342
2018-01-01 78057
2019-01-01 74737
2020-01-01 74103
2021-01-01 86286
2022-01-01 93380
2023-01-01 94550
2024-01-01 103840

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