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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Perry County, PA
Series ID MHICILBPA42099A052NCEN
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 26432
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31912
1994-01-01 .
1995-01-01 33681
1996-01-01 .
1997-01-01 36234
1998-01-01 38454
1999-01-01 38779
2000-01-01 40270
2001-01-01 40123
2002-01-01 40829
2003-01-01 41663
2004-01-01 43064
2005-01-01 44160
2006-01-01 44470
2007-01-01 46877
2008-01-01 50564
2009-01-01 49151
2010-01-01 48134
2011-01-01 48801
2012-01-01 52537
2013-01-01 53726
2014-01-01 51748
2015-01-01 51260
2016-01-01 54345
2017-01-01 57934
2018-01-01 58719
2019-01-01 62428
2020-01-01 63505
2021-01-01 73290
2022-01-01 64248

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