Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Luzerne County, PA
Series ID MHICIUBPA42079A052NCEN
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.
DATE VALUE
1989-01-01 26297
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29223
1994-01-01 .
1995-01-01 33304
1996-01-01 .
1997-01-01 35297
1998-01-01 35768
1999-01-01 35402
2000-01-01 37472
2001-01-01 36538
2002-01-01 36648
2003-01-01 37701
2004-01-01 39250
2005-01-01 38811
2006-01-01 41057
2007-01-01 42985
2008-01-01 43251
2009-01-01 41427
2010-01-01 43315
2011-01-01 44398
2012-01-01 43953
2013-01-01 46450
2014-01-01 45760
2015-01-01 51204
2016-01-01 48375
2017-01-01 52445
2018-01-01 55633
2019-01-01 56046
2020-01-01 55305
2021-01-01 61798
2022-01-01 61860

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