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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Elk County, PA
Series ID MHICILBPA42047A052NCEN
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 25670
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29797
1994-01-01 .
1995-01-01 31662
1996-01-01 .
1997-01-01 34342
1998-01-01 35577
1999-01-01 35585
2000-01-01 36440
2001-01-01 35659
2002-01-01 36161
2003-01-01 37007
2004-01-01 37935
2005-01-01 37774
2006-01-01 39106
2007-01-01 39738
2008-01-01 40154
2009-01-01 38325
2010-01-01 39723
2011-01-01 39755
2012-01-01 45722
2013-01-01 43259
2014-01-01 44206
2015-01-01 43781
2016-01-01 44884
2017-01-01 47825
2018-01-01 50389
2019-01-01 50731
2020-01-01 46836
2021-01-01 51048
2022-01-01 51466
2023-01-01 60254
2024-01-01 62008

Back to Top