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 Washington County, ME Series ID: MHICIUBME23029A052NCEN 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 1:52 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 21275 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25299 1994-01-01 . 1995-01-01 27787 1996-01-01 . 1997-01-01 28796 1998-01-01 29071 1999-01-01 28030 2000-01-01 29340 2001-01-01 28436 2002-01-01 28965 2003-01-01 30258 2004-01-01 31013 2005-01-01 31817 2006-01-01 33403 2007-01-01 35128 2008-01-01 33663 2009-01-01 34466 2010-01-01 35025 2011-01-01 35985 2012-01-01 38392 2013-01-01 38081 2014-01-01 40214 2015-01-01 38067 2016-01-01 40341 2017-01-01 41271 2018-01-01 42866 2019-01-01 42156 2020-01-01 53282 2021-01-01 46301 2022-01-01 57974