Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kent County, DE
Series ID MHICILBDE10001A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 25488
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30900
1994-01-01 .
1995-01-01 32288
1996-01-01 .
1997-01-01 33846
1998-01-01 34828
1999-01-01 36206
2000-01-01 38482
2001-01-01 38387
2002-01-01 39363
2003-01-01 41079
2004-01-01 42469
2005-01-01 44679
2006-01-01 45418
2007-01-01 44830
2008-01-01 52840
2009-01-01 48411
2010-01-01 47920
2011-01-01 47714
2012-01-01 48612
2013-01-01 51364
2014-01-01 51622
2015-01-01 52881
2016-01-01 50862
2017-01-01 54418
2018-01-01 51716
2019-01-01 54196
2020-01-01 54742
2021-01-01 60547
2022-01-01 67534
2023-01-01 67331

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