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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Indiana County, PA
Series ID MHICILBPA42063A052NCEN
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 1:11 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 21986
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24559
1994-01-01 .
1995-01-01 25879
1996-01-01 .
1997-01-01 28537
1998-01-01 29857
1999-01-01 28996
2000-01-01 29855
2001-01-01 29156
2002-01-01 29530
2003-01-01 30590
2004-01-01 31853
2005-01-01 31147
2006-01-01 37022
2007-01-01 32728
2008-01-01 39514
2009-01-01 37275
2010-01-01 38093
2011-01-01 39290
2012-01-01 39777
2013-01-01 42399
2014-01-01 39941
2015-01-01 42183
2016-01-01 40908
2017-01-01 44486
2018-01-01 44330
2019-01-01 48386
2020-01-01 50279
2021-01-01 48897
2022-01-01 49408

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