Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fairfax City, VA Series ID: MHICIUBVA51600A052NCEN Source: U.S. Census Bureau Release: Small Area Income and Poverty Estimates Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Dollars Date Range: 1993-01-01 to 2022-01-01 Last Updated: 2023-12-14 1:09 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 1993-01-01 55079 1994-01-01 . 1995-01-01 58878 1996-01-01 . 1997-01-01 64644 1998-01-01 64818 1999-01-01 69750 2000-01-01 75895 2001-01-01 78250 2002-01-01 76627 2003-01-01 71536 2004-01-01 74251 2005-01-01 84932 2006-01-01 85898 2007-01-01 94988 2008-01-01 100879 2009-01-01 88519 2010-01-01 91083 2011-01-01 95455 2012-01-01 94645 2013-01-01 96048 2014-01-01 101064 2015-01-01 107241 2016-01-01 103857 2017-01-01 109393 2018-01-01 114923 2019-01-01 117215 2020-01-01 117787 2021-01-01 117634 2022-01-01 134153