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 Lower Bound of Estimate of Median Household Income for Washington County, MD Series ID: MHICILBMD24043A052NCEN 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 1:54 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 26519 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29928 1994-01-01 . 1995-01-01 31856 1996-01-01 . 1997-01-01 34399 1998-01-01 36202 1999-01-01 36875 2000-01-01 38695 2001-01-01 38671 2002-01-01 39753 2003-01-01 41364 2004-01-01 42678 2005-01-01 44102 2006-01-01 48522 2007-01-01 46944 2008-01-01 49041 2009-01-01 46528 2010-01-01 48283 2011-01-01 49100 2012-01-01 49968 2013-01-01 52644 2014-01-01 51653 2015-01-01 51814 2016-01-01 51699 2017-01-01 56941 2018-01-01 60230 2019-01-01 56052 2020-01-01 58321 2021-01-01 61244 2022-01-01 65557