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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Vanderburgh County, IN
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 1:10 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.
1989-01-01 28237
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31971
1994-01-01 .
1995-01-01 35979
1996-01-01 .
1997-01-01 38264
1998-01-01 39707
1999-01-01 39363
2000-01-01 41530
2001-01-01 40253
2002-01-01 40202
2003-01-01 40718
2004-01-01 41547
2005-01-01 43483
2006-01-01 42258
2007-01-01 44660
2008-01-01 43540
2009-01-01 45209
2010-01-01 43196
2011-01-01 45510
2012-01-01 43457
2013-01-01 44306
2014-01-01 44556
2015-01-01 46517
2016-01-01 49738
2017-01-01 50235
2018-01-01 52611
2019-01-01 53666
2020-01-01 52589
2021-01-01 56764
2022-01-01 61982

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