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 Upper Bound of Estimate of Median Household Income for Floyd County, VA Series ID: MHICIUBVA51063A052NCEN 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 1:51 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 24672 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27806 1994-01-01 . 1995-01-01 31601 1996-01-01 . 1997-01-01 34452 1998-01-01 36739 1999-01-01 34371 2000-01-01 36130 2001-01-01 35517 2002-01-01 36603 2003-01-01 37371 2004-01-01 38787 2005-01-01 40842 2006-01-01 43717 2007-01-01 43380 2008-01-01 45423 2009-01-01 39360 2010-01-01 47550 2011-01-01 43896 2012-01-01 45800 2013-01-01 45317 2014-01-01 47123 2015-01-01 52216 2016-01-01 46840 2017-01-01 52779 2018-01-01 53473 2019-01-01 58056 2020-01-01 62235 2021-01-01 61216 2022-01-01 68001