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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Indiana

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Indiana
Series ID MHICIUBIN18000A052NCEN
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.
DATE VALUE
1989-01-01 28942
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32304
1994-01-01 .
1995-01-01 35916
1996-01-01 37386
1997-01-01 39628
1998-01-01 41467
1999-01-01 42008
2000-01-01 43227
2001-01-01 43501
2002-01-01 43608
2003-01-01 44675
2004-01-01 44595
2005-01-01 44532
2006-01-01 45822
2007-01-01 47793
2008-01-01 48540
2009-01-01 45870
2010-01-01 45054
2011-01-01 46856
2012-01-01 47368
2013-01-01 48014
2014-01-01 49862
2015-01-01 50894
2016-01-01 52656
2017-01-01 54775
2018-01-01 56240
2019-01-01 58287
2020-01-01 61491
2021-01-01 63431
2022-01-01 67419

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