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 Androscoggin County, ME Series ID: MHICILBME23001A052NCEN 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 24186 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27979 1994-01-01 . 1995-01-01 29852 1996-01-01 . 1997-01-01 31367 1998-01-01 32032 1999-01-01 32828 2000-01-01 34454 2001-01-01 33633 2002-01-01 33892 2003-01-01 35966 2004-01-01 36986 2005-01-01 39557 2006-01-01 36938 2007-01-01 42770 2008-01-01 41635 2009-01-01 38447 2010-01-01 39247 2011-01-01 40803 2012-01-01 40229 2013-01-01 41208 2014-01-01 43816 2015-01-01 46319 2016-01-01 45632 2017-01-01 45560 2018-01-01 46209 2019-01-01 54779 2020-01-01 53803 2021-01-01 57541 2022-01-01 58867