Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delaware County, PA
Series ID MHICILBPA42045A052NCEN
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 1:53 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 33982
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38599
1994-01-01 .
1995-01-01 39833
1996-01-01 .
1997-01-01 42311
1998-01-01 44405
1999-01-01 44965
2000-01-01 48477
2001-01-01 47449
2002-01-01 46981
2003-01-01 47097
2004-01-01 48419
2005-01-01 53529
2006-01-01 53684
2007-01-01 58093
2008-01-01 62885
2009-01-01 59652
2010-01-01 57344
2011-01-01 58287
2012-01-01 59114
2013-01-01 61833
2014-01-01 60255
2015-01-01 64880
2016-01-01 64957
2017-01-01 72012
2018-01-01 69882
2019-01-01 73029
2020-01-01 71572
2021-01-01 74793
2022-01-01 79748

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