Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kent County, DE
Series ID MHICIUBDE10001A052NCEN
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 2:32 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 29405
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34991
1994-01-01 .
1995-01-01 37531
1996-01-01 .
1997-01-01 39249
1998-01-01 40234
1999-01-01 40804
2000-01-01 43804
2001-01-01 43306
2002-01-01 44424
2003-01-01 45950
2004-01-01 47448
2005-01-01 49991
2006-01-01 49853
2007-01-01 49984
2008-01-01 57518
2009-01-01 53357
2010-01-01 55060
2011-01-01 54376
2012-01-01 54778
2013-01-01 56258
2014-01-01 56920
2015-01-01 58475
2016-01-01 57126
2017-01-01 59806
2018-01-01 58244
2019-01-01 63412
2020-01-01 68334
2021-01-01 68793
2022-01-01 76198
2023-01-01 77665

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