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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Huron County, OH
Series ID MHICIUBOH39077A052NCEN
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 30025
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33437
1994-01-01 .
1995-01-01 36915
1996-01-01 .
1997-01-01 39568
1998-01-01 41284
1999-01-01 42120
2000-01-01 44792
2001-01-01 43505
2002-01-01 43640
2003-01-01 43978
2004-01-01 45046
2005-01-01 45138
2006-01-01 48293
2007-01-01 49378
2008-01-01 49960
2009-01-01 48027
2010-01-01 47215
2011-01-01 51757
2012-01-01 49013
2013-01-01 47903
2014-01-01 50065
2015-01-01 52741
2016-01-01 54346
2017-01-01 51706
2018-01-01 58856
2019-01-01 61491
2020-01-01 67913
2021-01-01 65883
2022-01-01 65766
2023-01-01 70742
2024-01-01 77172

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