Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, ME Series ID: MHICIUBME23009A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:57 AM 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 26804 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31137 1994-01-01 . 1995-01-01 34245 1996-01-01 . 1997-01-01 36298 1998-01-01 37831 1999-01-01 37692 2000-01-01 38840 2001-01-01 37838 2002-01-01 38845 2003-01-01 40303 2004-01-01 40955 2005-01-01 45825 2006-01-01 44371 2007-01-01 47304 2008-01-01 50922 2009-01-01 50656 2010-01-01 44532 2011-01-01 46877 2012-01-01 48437 2013-01-01 48011 2014-01-01 48731 2015-01-01 52029 2016-01-01 57964 2017-01-01 55010 2018-01-01 55234 2019-01-01 62447 2020-01-01 62885 2021-01-01 61408