Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bucks County, PA
Series ID MHICIUBPA42017A052NCEN
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 44533
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48631
1994-01-01 .
1995-01-01 54383
1996-01-01 .
1997-01-01 57406
1998-01-01 57972
1999-01-01 60440
2000-01-01 63993
2001-01-01 63917
2002-01-01 65178
2003-01-01 66257
2004-01-01 68573
2005-01-01 66797
2006-01-01 72153
2007-01-01 72453
2008-01-01 77973
2009-01-01 77703
2010-01-01 72485
2011-01-01 72779
2012-01-01 77021
2013-01-01 75987
2014-01-01 79946
2015-01-01 82695
2016-01-01 82646
2017-01-01 87665
2018-01-01 90234
2019-01-01 96591
2020-01-01 96211
2021-01-01 103219
2022-01-01 108400

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