Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dauphin County, PA
Series ID MHICIUBPA42043A052NCEN
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 1:51 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 31313
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36572
1994-01-01 .
1995-01-01 39984
1996-01-01 .
1997-01-01 43926
1998-01-01 45096
1999-01-01 44086
2000-01-01 47109
2001-01-01 46083
2002-01-01 47454
2003-01-01 48329
2004-01-01 49626
2005-01-01 50728
2006-01-01 50605
2007-01-01 51787
2008-01-01 55010
2009-01-01 50709
2010-01-01 53848
2011-01-01 53536
2012-01-01 53623
2013-01-01 55454
2014-01-01 55316
2015-01-01 56428
2016-01-01 61653
2017-01-01 63036
2018-01-01 60986
2019-01-01 63509
2020-01-01 67194
2021-01-01 70171
2022-01-01 72181

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