Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delaware
Series ID MHICILBDE10000A052NCEN
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 1:12 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 30412
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34702
1994-01-01 .
1995-01-01 35715
1996-01-01 37598
1997-01-01 39427
1998-01-01 40758
1999-01-01 43731
2000-01-01 45737
2001-01-01 46291
2002-01-01 46170
2003-01-01 47250
2004-01-01 48033
2005-01-01 51414
2006-01-01 52603
2007-01-01 54724
2008-01-01 56991
2009-01-01 55682
2010-01-01 55018
2011-01-01 56859
2012-01-01 57025
2013-01-01 56730
2014-01-01 58463
2015-01-01 60147
2016-01-01 60792
2017-01-01 62201
2018-01-01 64062
2019-01-01 68855
2020-01-01 68795
2021-01-01 69940
2022-01-01 80111

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