Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Webster County, WV Series ID: MHICIUBWV54101A052NCEN 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 10:38 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 16821 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17851 1994-01-01 . 1995-01-01 21214 1996-01-01 . 1997-01-01 22696 1998-01-01 23680 1999-01-01 22826 2000-01-01 23736 2001-01-01 23069 2002-01-01 23848 2003-01-01 24672 2004-01-01 26363 2005-01-01 27299 2006-01-01 28921 2007-01-01 30314 2008-01-01 28677 2009-01-01 29012 2010-01-01 31638 2011-01-01 31654 2012-01-01 29585 2013-01-01 34183 2014-01-01 31984 2015-01-01 33886 2016-01-01 33911 2017-01-01 34861 2018-01-01 37263 2019-01-01 38074 2020-01-01 39748 2021-01-01 40427