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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, IN
Series ID MHICIUBIN18071A052NCEN
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 27381
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32614
1994-01-01 .
1995-01-01 37235
1996-01-01 .
1997-01-01 38493
1998-01-01 40248
1999-01-01 41459
2000-01-01 43860
2001-01-01 42858
2002-01-01 43222
2003-01-01 44267
2004-01-01 45928
2005-01-01 43594
2006-01-01 46337
2007-01-01 48386
2008-01-01 51381
2009-01-01 45098
2010-01-01 49350
2011-01-01 48409
2012-01-01 49750
2013-01-01 52492
2014-01-01 52524
2015-01-01 48869
2016-01-01 56284
2017-01-01 52150
2018-01-01 60974
2019-01-01 65364
2020-01-01 71393
2021-01-01 68305
2022-01-01 71650

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