Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, PA
Series ID MHICIUBPA42051A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:09 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 22214
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24128
1994-01-01 .
1995-01-01 26950
1996-01-01 .
1997-01-01 28821
1998-01-01 30539
1999-01-01 29394
2000-01-01 31446
2001-01-01 30417
2002-01-01 30929
2003-01-01 31390
2004-01-01 32233
2005-01-01 33093
2006-01-01 33262
2007-01-01 33523
2008-01-01 35912
2009-01-01 37076
2010-01-01 37600
2011-01-01 38853
2012-01-01 40898
2013-01-01 40487
2014-01-01 39065
2015-01-01 42151
2016-01-01 44745
2017-01-01 45924
2018-01-01 52792
2019-01-01 50417
2020-01-01 48767
2021-01-01 51125
2022-01-01 55301

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