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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Owen County, IN
Series ID MHICIUBIN18119A052NCEN
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 1:52 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 26771
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30829
1994-01-01 .
1995-01-01 34717
1996-01-01 .
1997-01-01 35918
1998-01-01 37973
1999-01-01 37590
2000-01-01 39747
2001-01-01 39101
2002-01-01 39497
2003-01-01 39780
2004-01-01 41078
2005-01-01 41755
2006-01-01 44919
2007-01-01 46382
2008-01-01 45835
2009-01-01 43455
2010-01-01 45739
2011-01-01 44346
2012-01-01 44388
2013-01-01 46597
2014-01-01 49782
2015-01-01 48045
2016-01-01 50415
2017-01-01 53570
2018-01-01 54585
2019-01-01 59396
2020-01-01 61526
2021-01-01 63088
2022-01-01 68781

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