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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henry County, OH
Series ID MHICIUBOH39069A052NCEN
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 7:03 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 32814
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37246
1994-01-01 .
1995-01-01 40874
1996-01-01 .
1997-01-01 43704
1998-01-01 44540
1999-01-01 44398
2000-01-01 46970
2001-01-01 46015
2002-01-01 46118
2003-01-01 47236
2004-01-01 48612
2005-01-01 52280
2006-01-01 48331
2007-01-01 53245
2008-01-01 54478
2009-01-01 48985
2010-01-01 49987
2011-01-01 52940
2012-01-01 53610
2013-01-01 55378
2014-01-01 57653
2015-01-01 60599
2016-01-01 62576
2017-01-01 61978
2018-01-01 62398
2019-01-01 65368
2020-01-01 70590
2021-01-01 75405
2022-01-01 79916
2023-01-01 86337
2024-01-01 73907

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