Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Frederick County, MD
Series ID MHICIUBMD24021A052NCEN
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 1:11 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 41654
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48242
1994-01-01 .
1995-01-01 54177
1996-01-01 .
1997-01-01 56405
1998-01-01 58663
1999-01-01 62079
2000-01-01 66519
2001-01-01 66653
2002-01-01 69762
2003-01-01 70725
2004-01-01 73340
2005-01-01 75872
2006-01-01 76430
2007-01-01 79483
2008-01-01 81887
2009-01-01 85143
2010-01-01 84522
2011-01-01 81588
2012-01-01 83466
2013-01-01 86774
2014-01-01 86637
2015-01-01 86447
2016-01-01 92752
2017-01-01 96304
2018-01-01 98907
2019-01-01 105980
2020-01-01 104214
2021-01-01 109366
2022-01-01 122977

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