Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, PA
Series ID MHICILBPA42051A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 17834
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19740
1994-01-01 .
1995-01-01 21185
1996-01-01 .
1997-01-01 22918
1998-01-01 24668
1999-01-01 25876
2000-01-01 27188
2001-01-01 26587
2002-01-01 27011
2003-01-01 27736
2004-01-01 28459
2005-01-01 29213
2006-01-01 30121
2007-01-01 30211
2008-01-01 32188
2009-01-01 33445
2010-01-01 33284
2011-01-01 33747
2012-01-01 36582
2013-01-01 35371
2014-01-01 34739
2015-01-01 38435
2016-01-01 39367
2017-01-01 39860
2018-01-01 47970
2019-01-01 45693
2020-01-01 41745
2021-01-01 44499
2022-01-01 47687
2023-01-01 50626

Subscribe to the FRED newsletter


Follow us

Back to Top