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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, OH
Series ID MHICILBOH39097A052NCEN
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 25837
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31261
1994-01-01 .
1995-01-01 33794
1996-01-01 .
1997-01-01 36752
1998-01-01 38639
1999-01-01 39471
2000-01-01 40826
2001-01-01 40937
2002-01-01 41294
2003-01-01 41935
2004-01-01 43461
2005-01-01 46931
2006-01-01 45002
2007-01-01 47959
2008-01-01 47538
2009-01-01 46173
2010-01-01 44166
2011-01-01 49925
2012-01-01 49546
2013-01-01 50395
2014-01-01 49726
2015-01-01 60037
2016-01-01 56209
2017-01-01 66231
2018-01-01 56444
2019-01-01 61144
2020-01-01 64966
2021-01-01 65272
2022-01-01 72926
2023-01-01 74020
2024-01-01 76862

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