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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tippecanoe County, IN
Series ID MHICIUBIN18157A052NCEN
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 30567
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35542
1994-01-01 .
1995-01-01 39786
1996-01-01 .
1997-01-01 43131
1998-01-01 44799
1999-01-01 41810
2000-01-01 43309
2001-01-01 42313
2002-01-01 41621
2003-01-01 42233
2004-01-01 42687
2005-01-01 43017
2006-01-01 42714
2007-01-01 44645
2008-01-01 47248
2009-01-01 43829
2010-01-01 44718
2011-01-01 45745
2012-01-01 45937
2013-01-01 50483
2014-01-01 48578
2015-01-01 52826
2016-01-01 52909
2017-01-01 56308
2018-01-01 56061
2019-01-01 54528
2020-01-01 56953
2021-01-01 59377
2022-01-01 59634

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