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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Union County, PA
Series ID MHICIUBPA42119A052NCEN
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 32004
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35471
1994-01-01 .
1995-01-01 37843
1996-01-01 .
1997-01-01 39502
1998-01-01 41770
1999-01-01 41190
2000-01-01 42490
2001-01-01 42086
2002-01-01 41772
2003-01-01 42096
2004-01-01 43263
2005-01-01 46108
2006-01-01 46610
2007-01-01 46026
2008-01-01 49050
2009-01-01 50474
2010-01-01 48543
2011-01-01 50320
2012-01-01 53492
2013-01-01 52395
2014-01-01 51497
2015-01-01 60226
2016-01-01 61911
2017-01-01 63801
2018-01-01 60587
2019-01-01 67727
2020-01-01 70036
2021-01-01 71067
2022-01-01 71163
2023-01-01 87588
2024-01-01 80931

Back to Top