Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bucks County, PA
Series ID MHICILBPA42017A052NCEN
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 40630
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44614
1994-01-01 .
1995-01-01 49153
1996-01-01 .
1997-01-01 51906
1998-01-01 52501
1999-01-01 53561
2000-01-01 56069
2001-01-01 56431
2002-01-01 57522
2003-01-01 59048
2004-01-01 61037
2005-01-01 62350
2006-01-01 68399
2007-01-01 68923
2008-01-01 73428
2009-01-01 74087
2010-01-01 69435
2011-01-01 68691
2012-01-01 73735
2013-01-01 71337
2014-01-01 75700
2015-01-01 78329
2016-01-01 77618
2017-01-01 81903
2018-01-01 86842
2019-01-01 90583
2020-01-01 88671
2021-01-01 96291
2022-01-01 102004

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