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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Auglaize County, OH
Series ID MHICILBOH39011A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 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 28437
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32755
1994-01-01 .
1995-01-01 34442
1996-01-01 .
1997-01-01 36622
1998-01-01 38453
1999-01-01 39686
2000-01-01 41384
2001-01-01 40787
2002-01-01 40789
2003-01-01 42013
2004-01-01 43244
2005-01-01 46691
2006-01-01 45514
2007-01-01 48306
2008-01-01 47855
2009-01-01 46569
2010-01-01 46619
2011-01-01 47532
2012-01-01 47625
2013-01-01 49915
2014-01-01 48994
2015-01-01 54861
2016-01-01 55922
2017-01-01 58614
2018-01-01 57513
2019-01-01 60769
2020-01-01 62739
2021-01-01 60856
2022-01-01 66953

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