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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Perry County, PA
Series ID MHICIUBPA42099A052NCEN
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 1:51 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 30859
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36362
1994-01-01 .
1995-01-01 39795
1996-01-01 .
1997-01-01 42360
1998-01-01 44490
1999-01-01 44191
2000-01-01 46790
2001-01-01 46061
2002-01-01 46893
2003-01-01 47298
2004-01-01 48906
2005-01-01 49323
2006-01-01 50936
2007-01-01 52602
2008-01-01 57593
2009-01-01 54259
2010-01-01 54646
2011-01-01 56775
2012-01-01 58037
2013-01-01 59362
2014-01-01 58092
2015-01-01 58376
2016-01-01 64143
2017-01-01 64516
2018-01-01 66013
2019-01-01 68374
2020-01-01 74477
2021-01-01 78730
2022-01-01 71420

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