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 Lincoln County, ME Series ID: MHICILBME23015A052NCEN 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 24206 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29124 1994-01-01 . 1995-01-01 30262 1996-01-01 . 1997-01-01 32663 1998-01-01 33263 1999-01-01 35008 2000-01-01 36678 2001-01-01 36452 2002-01-01 37338 2003-01-01 38384 2004-01-01 39157 2005-01-01 40011 2006-01-01 40648 2007-01-01 42065 2008-01-01 46449 2009-01-01 41676 2010-01-01 43000 2011-01-01 41790 2012-01-01 47618 2013-01-01 44899 2014-01-01 44250 2015-01-01 46509 2016-01-01 50037 2017-01-01 48576 2018-01-01 51777 2019-01-01 53166 2020-01-01 58179 2021-01-01 60727 2022-01-01 66959