Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kent County, MD
Series ID MHICILBMD24029A052NCEN
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 3:13 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 23477
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29105
1994-01-01 .
1995-01-01 31588
1996-01-01 .
1997-01-01 33307
1998-01-01 34936
1999-01-01 35860
2000-01-01 37516
2001-01-01 37076
2002-01-01 37736
2003-01-01 39173
2004-01-01 40262
2005-01-01 40335
2006-01-01 43015
2007-01-01 42759
2008-01-01 48052
2009-01-01 45603
2010-01-01 44435
2011-01-01 45192
2012-01-01 45858
2013-01-01 51942
2014-01-01 48364
2015-01-01 47021
2016-01-01 50051
2017-01-01 51957
2018-01-01 50267
2019-01-01 58760
2020-01-01 54865
2021-01-01 58150
2022-01-01 61435
2023-01-01 63268

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