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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Champaign County, OH
Series ID MHICILBOH39021A052NCEN
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 27963
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32575
1994-01-01 .
1995-01-01 34302
1996-01-01 .
1997-01-01 37738
1998-01-01 39553
1999-01-01 39344
2000-01-01 41029
2001-01-01 40629
2002-01-01 40435
2003-01-01 41648
2004-01-01 41893
2005-01-01 44625
2006-01-01 41480
2007-01-01 43489
2008-01-01 43513
2009-01-01 46936
2010-01-01 42635
2011-01-01 44309
2012-01-01 45359
2013-01-01 45240
2014-01-01 46824
2015-01-01 55833
2016-01-01 51578
2017-01-01 51231
2018-01-01 54680
2019-01-01 57417
2020-01-01 57451
2021-01-01 58503
2022-01-01 66782
2023-01-01 65011
2024-01-01 66651

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