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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for St. Mary's County, MD

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for St. Mary's County, MD
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.
1989-01-01 38096
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43120
1994-01-01 .
1995-01-01 45670
1996-01-01 .
1997-01-01 52567
1998-01-01 54345
1999-01-01 56255
2000-01-01 59876
2001-01-01 58910
2002-01-01 61064
2003-01-01 62562
2004-01-01 65280
2005-01-01 67357
2006-01-01 72696
2007-01-01 77108
2008-01-01 81959
2009-01-01 76334
2010-01-01 86629
2011-01-01 83660
2012-01-01 87661
2013-01-01 83443
2014-01-01 88577
2015-01-01 88614
2016-01-01 86085
2017-01-01 86728
2018-01-01 96376
2019-01-01 97004
2020-01-01 113785
2021-01-01 111281
2022-01-01 116571

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