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 Knox County, ME Series ID: MHICILBME23013A052NCEN 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 21214 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26160 1994-01-01 . 1995-01-01 27848 1996-01-01 . 1997-01-01 30401 1998-01-01 31882 1999-01-01 33647 2000-01-01 35275 2001-01-01 35050 2002-01-01 35948 2003-01-01 37497 2004-01-01 38409 2005-01-01 37168 2006-01-01 38994 2007-01-01 41042 2008-01-01 41173 2009-01-01 41426 2010-01-01 39454 2011-01-01 43133 2012-01-01 43972 2013-01-01 44993 2014-01-01 47164 2015-01-01 43366 2016-01-01 50176 2017-01-01 47619 2018-01-01 52705 2019-01-01 51140 2020-01-01 61993 2021-01-01 63991 2022-01-01 59566