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 King George County, VA Series ID: MHICIUBVA51099A052NCEN 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 36955 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 43521 1994-01-01 . 1995-01-01 44981 1996-01-01 . 1997-01-01 48730 1998-01-01 52148 1999-01-01 52614 2000-01-01 56325 2001-01-01 56388 2002-01-01 58917 2003-01-01 61151 2004-01-01 65247 2005-01-01 70648 2006-01-01 68318 2007-01-01 74924 2008-01-01 83800 2009-01-01 75486 2010-01-01 83087 2011-01-01 82618 2012-01-01 81417 2013-01-01 85044 2014-01-01 82949 2015-01-01 87904 2016-01-01 88270 2017-01-01 94576 2018-01-01 95394 2019-01-01 93200 2020-01-01 100280 2021-01-01 108824 2022-01-01 108704