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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harrison County, IN
Series ID MHICIUBIN18061A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:05 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 28598
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33543
1994-01-01 .
1995-01-01 38544
1996-01-01 .
1997-01-01 41246
1998-01-01 43058
1999-01-01 45136
2000-01-01 48083
2001-01-01 47168
2002-01-01 47741
2003-01-01 48626
2004-01-01 49935
2005-01-01 49654
2006-01-01 53187
2007-01-01 52858
2008-01-01 56392
2009-01-01 51942
2010-01-01 51848
2011-01-01 54176
2012-01-01 54501
2013-01-01 54738
2014-01-01 60585
2015-01-01 58558
2016-01-01 62575
2017-01-01 63056
2018-01-01 64582
2019-01-01 70022
2020-01-01 70141
2021-01-01 74180
2022-01-01 79696
2023-01-01 82847
2024-01-01 87901

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