Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Philadelphia County/city, PA
Series ID MHICILBPA42101A052NCEN
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 1:11 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 20993
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23078
1994-01-01 .
1995-01-01 24842
1996-01-01 .
1997-01-01 26643
1998-01-01 27232
1999-01-01 27642
2000-01-01 28981
2001-01-01 28320
2002-01-01 27940
2003-01-01 28979
2004-01-01 29312
2005-01-01 31754
2006-01-01 32494
2007-01-01 34583
2008-01-01 36022
2009-01-01 35866
2010-01-01 33561
2011-01-01 33313
2012-01-01 34547
2013-01-01 36096
2014-01-01 37849
2015-01-01 40439
2016-01-01 40460
2017-01-01 38699
2018-01-01 44939
2019-01-01 45986
2020-01-01 52865
2021-01-01 51293
2022-01-01 54031

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