Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lewis County, KY Series ID: MHICIUBKY21135A052NCEN 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 17703 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20282 1994-01-01 . 1995-01-01 23901 1996-01-01 . 1997-01-01 25453 1998-01-01 26901 1999-01-01 24986 2000-01-01 25437 2001-01-01 24717 2002-01-01 25067 2003-01-01 25855 2004-01-01 26599 2005-01-01 26174 2006-01-01 28718 2007-01-01 29067 2008-01-01 31011 2009-01-01 31266 2010-01-01 32264 2011-01-01 31570 2012-01-01 31341 2013-01-01 33001 2014-01-01 33416 2015-01-01 37203 2016-01-01 36387 2017-01-01 38842 2018-01-01 39698 2019-01-01 41775 2020-01-01 45336 2021-01-01 44857