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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Juniata County, PA
Series ID MHICILBPA42067A052NCEN
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 22794
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26491
1994-01-01 .
1995-01-01 27656
1996-01-01 .
1997-01-01 29954
1998-01-01 32310
1999-01-01 32801
2000-01-01 33849
2001-01-01 33838
2002-01-01 34741
2003-01-01 36016
2004-01-01 37715
2005-01-01 38090
2006-01-01 38391
2007-01-01 39369
2008-01-01 39635
2009-01-01 39846
2010-01-01 42370
2011-01-01 42392
2012-01-01 39787
2013-01-01 42593
2014-01-01 45573
2015-01-01 46382
2016-01-01 46130
2017-01-01 44161
2018-01-01 50156
2019-01-01 53598
2020-01-01 53344
2021-01-01 51657
2022-01-01 58182

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