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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lackawanna County, PA
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 1:09 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.
1989-01-01 26539
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30901
1994-01-01 .
1995-01-01 32936
1996-01-01 .
1997-01-01 35426
1998-01-01 35766
1999-01-01 35439
2000-01-01 37762
2001-01-01 37414
2002-01-01 38066
2003-01-01 39012
2004-01-01 39904
2005-01-01 39033
2006-01-01 41206
2007-01-01 43109
2008-01-01 43774
2009-01-01 45841
2010-01-01 44195
2011-01-01 45754
2012-01-01 44741
2013-01-01 46835
2014-01-01 47291
2015-01-01 50016
2016-01-01 49550
2017-01-01 51498
2018-01-01 55035
2019-01-01 56541
2020-01-01 59398
2021-01-01 63912
2022-01-01 64132

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