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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McKean County, PA
Series ID MHICIUBPA42083A052NCEN
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 7:02 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 25883
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29801
1994-01-01 .
1995-01-01 33729
1996-01-01 .
1997-01-01 35603
1998-01-01 36695
1999-01-01 35285
2000-01-01 36970
2001-01-01 35705
2002-01-01 35945
2003-01-01 36765
2004-01-01 37473
2005-01-01 38878
2006-01-01 40203
2007-01-01 40734
2008-01-01 41721
2009-01-01 41649
2010-01-01 41733
2011-01-01 42896
2012-01-01 42940
2013-01-01 43444
2014-01-01 48024
2015-01-01 48662
2016-01-01 46008
2017-01-01 47919
2018-01-01 49212
2019-01-01 57680
2020-01-01 58371
2021-01-01 58399
2022-01-01 62940
2023-01-01 62944
2024-01-01 64005

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