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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, IN
Series ID MHICILBIN18077A052NCEN
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 22188
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27055
1994-01-01 .
1995-01-01 28789
1996-01-01 .
1997-01-01 30556
1998-01-01 31389
1999-01-01 33997
2000-01-01 35794
2001-01-01 35255
2002-01-01 35782
2003-01-01 37410
2004-01-01 38457
2005-01-01 36289
2006-01-01 38677
2007-01-01 41849
2008-01-01 39436
2009-01-01 38744
2010-01-01 38103
2011-01-01 37879
2012-01-01 39153
2013-01-01 41353
2014-01-01 42630
2015-01-01 43679
2016-01-01 47947
2017-01-01 47594
2018-01-01 45722
2019-01-01 48262
2020-01-01 48896
2021-01-01 53312
2022-01-01 57730

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