Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Garrett County, MD
Series ID MHICIUBMD24023A052NCEN
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 24685
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27918
1994-01-01 .
1995-01-01 30730
1996-01-01 .
1997-01-01 33260
1998-01-01 33794
1999-01-01 33617
2000-01-01 35771
2001-01-01 35112
2002-01-01 35878
2003-01-01 36893
2004-01-01 38446
2005-01-01 41285
2006-01-01 41879
2007-01-01 45190
2008-01-01 46887
2009-01-01 45989
2010-01-01 46652
2011-01-01 44855
2012-01-01 44911
2013-01-01 48302
2014-01-01 50350
2015-01-01 49969
2016-01-01 50362
2017-01-01 51240
2018-01-01 53998
2019-01-01 63043
2020-01-01 63607
2021-01-01 59577
2022-01-01 64712

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