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 Pocahontas County, WV Series ID: MHICILBWV54075A052NCEN 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 1:53 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 16381 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 18182 1994-01-01 . 1995-01-01 19432 1996-01-01 . 1997-01-01 20840 1998-01-01 22260 1999-01-01 24503 2000-01-01 25234 2001-01-01 24475 2002-01-01 24981 2003-01-01 25866 2004-01-01 26957 2005-01-01 28178 2006-01-01 27534 2007-01-01 28711 2008-01-01 28056 2009-01-01 27654 2010-01-01 28607 2011-01-01 32004 2012-01-01 28143 2013-01-01 29075 2014-01-01 31124 2015-01-01 33820 2016-01-01 32014 2017-01-01 31472 2018-01-01 35808 2019-01-01 35331 2020-01-01 34808 2021-01-01 35863 2022-01-01 39462