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

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Title 90% Confidence Interval Lower 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 1:11 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.
1989-01-01 22388
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26680
1994-01-01 .
1995-01-01 27333
1996-01-01 .
1997-01-01 29629
1998-01-01 30006
1999-01-01 31298
2000-01-01 32781
2001-01-01 32814
2002-01-01 33370
2003-01-01 34573
2004-01-01 35326
2005-01-01 35600
2006-01-01 36922
2007-01-01 39964
2008-01-01 39985
2009-01-01 41590
2010-01-01 39967
2011-01-01 42018
2012-01-01 41263
2013-01-01 43017
2014-01-01 42905
2015-01-01 45984
2016-01-01 45246
2017-01-01 46666
2018-01-01 50709
2019-01-01 50769
2020-01-01 54424
2021-01-01 58542
2022-01-01 58204

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