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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Luzerne County, PA
Series ID MHICILBPA42079A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 22198
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25084
1994-01-01 .
1995-01-01 27852
1996-01-01 .
1997-01-01 29615
1998-01-01 30074
1999-01-01 31270
2000-01-01 32567
2001-01-01 32087
2002-01-01 32169
2003-01-01 33462
2004-01-01 34820
2005-01-01 35779
2006-01-01 38071
2007-01-01 40372
2008-01-01 40332
2009-01-01 38541
2010-01-01 40175
2011-01-01 40770
2012-01-01 40535
2013-01-01 43018
2014-01-01 42684
2015-01-01 47974
2016-01-01 44529
2017-01-01 49519
2018-01-01 51305
2019-01-01 50832
2020-01-01 49257
2021-01-01 55492
2022-01-01 56856
2023-01-01 56993
2024-01-01 62976

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