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 Harrison County, WV Series ID: MHICILBWV54033A052NCEN 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 19775 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22073 1994-01-01 . 1995-01-01 23729 1996-01-01 . 1997-01-01 25990 1998-01-01 27497 1999-01-01 28856 2000-01-01 30217 2001-01-01 29353 2002-01-01 29151 2003-01-01 30534 2004-01-01 31646 2005-01-01 33252 2006-01-01 34511 2007-01-01 35255 2008-01-01 34942 2009-01-01 37560 2010-01-01 37311 2011-01-01 36850 2012-01-01 37733 2013-01-01 39641 2014-01-01 39683 2015-01-01 43571 2016-01-01 42811 2017-01-01 47890 2018-01-01 43899 2019-01-01 50966 2020-01-01 45480 2021-01-01 48638 2022-01-01 52913