Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Webster County, WV Series ID: MHICILBWV54101A052NCEN 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 1:11 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 12195 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 13214 1994-01-01 . 1995-01-01 14914 1996-01-01 . 1997-01-01 16353 1998-01-01 17376 1999-01-01 19870 2000-01-01 20305 2001-01-01 19919 2002-01-01 20573 2003-01-01 21601 2004-01-01 23033 2005-01-01 23093 2006-01-01 24278 2007-01-01 24728 2008-01-01 23396 2009-01-01 23752 2010-01-01 26528 2011-01-01 25740 2012-01-01 25179 2013-01-01 29427 2014-01-01 26678 2015-01-01 27460 2016-01-01 27245 2017-01-01 28031 2018-01-01 30845 2019-01-01 30696 2020-01-01 29044 2021-01-01 33411 2022-01-01 35928