Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Delaware County, PA
Series ID MHICIUBPA42045A052NCEN
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 37821
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42545
1994-01-01 .
1995-01-01 44754
1996-01-01 .
1997-01-01 47501
1998-01-01 49638
1999-01-01 50562
2000-01-01 55267
2001-01-01 53724
2002-01-01 53172
2003-01-01 52789
2004-01-01 54325
2005-01-01 57216
2006-01-01 56510
2007-01-01 62045
2008-01-01 66491
2009-01-01 64043
2010-01-01 60732
2011-01-01 61669
2012-01-01 62686
2013-01-01 66539
2014-01-01 65479
2015-01-01 69488
2016-01-01 70589
2017-01-01 75262
2018-01-01 74040
2019-01-01 80537
2020-01-01 78776
2021-01-01 81595
2022-01-01 87964

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