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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Elk County, PA
Series ID MHICIUBPA42047A052NCEN
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 7:03 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 30218
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34468
1994-01-01 .
1995-01-01 37922
1996-01-01 .
1997-01-01 40607
1998-01-01 41733
1999-01-01 40633
2000-01-01 42423
2001-01-01 41011
2002-01-01 41603
2003-01-01 42090
2004-01-01 43199
2005-01-01 43993
2006-01-01 44966
2007-01-01 44664
2008-01-01 47562
2009-01-01 45492
2010-01-01 45777
2011-01-01 46607
2012-01-01 51684
2013-01-01 49517
2014-01-01 49724
2015-01-01 51871
2016-01-01 53664
2017-01-01 55597
2018-01-01 59363
2019-01-01 60193
2020-01-01 59068
2021-01-01 62638
2022-01-01 63674
2023-01-01 72502
2024-01-01 71474

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