Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Allegheny County, PA
Series ID MHICILBPA42003A052NCEN
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 1:53 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 27693
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30691
1994-01-01 .
1995-01-01 33699
1996-01-01 .
1997-01-01 36674
1998-01-01 37606
1999-01-01 37056
2000-01-01 38931
2001-01-01 38583
2002-01-01 38835
2003-01-01 39383
2004-01-01 40029
2005-01-01 40827
2006-01-01 42705
2007-01-01 45543
2008-01-01 47788
2009-01-01 45199
2010-01-01 46388
2011-01-01 48640
2012-01-01 50056
2013-01-01 50688
2014-01-01 51464
2015-01-01 52916
2016-01-01 54991
2017-01-01 57214
2018-01-01 58402
2019-01-01 63447
2020-01-01 61958
2021-01-01 66918
2022-01-01 70412

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