NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for St. Mary's County, MD Series ID: MHICIUBMD24037A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 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