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 Dorchester County, MD Series ID: MHICIUBMD24019A052NCEN 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 12:51 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 23923 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28374 1994-01-01 . 1995-01-01 30664 1996-01-01 . 1997-01-01 32464 1998-01-01 33294 1999-01-01 33852 2000-01-01 36582 2001-01-01 35477 2002-01-01 35824 2003-01-01 36924 2004-01-01 38693 2005-01-01 40832 2006-01-01 42096 2007-01-01 45027 2008-01-01 46237 2009-01-01 47431 2010-01-01 42854 2011-01-01 45380 2012-01-01 44583 2013-01-01 45866 2014-01-01 46371 2015-01-01 48533 2016-01-01 48433 2017-01-01 51326 2018-01-01 53113 2019-01-01 53274 2020-01-01 60992 2021-01-01 59495 2022-01-01 59120