Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Roanoke City, VA Series ID: MHICIUBVA51770A052NCEN 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 1:09 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 1989-01-01 24854 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26456 1994-01-01 . 1995-01-01 28226 1996-01-01 . 1997-01-01 30506 1998-01-01 31976 1999-01-01 31769 2000-01-01 33352 2001-01-01 32112 2002-01-01 32190 2003-01-01 33508 2004-01-01 34882 2005-01-01 36186 2006-01-01 37394 2007-01-01 39616 2008-01-01 39628 2009-01-01 37334 2010-01-01 39656 2011-01-01 40831 2012-01-01 40832 2013-01-01 39496 2014-01-01 43331 2015-01-01 42372 2016-01-01 40905 2017-01-01 45873 2018-01-01 46388 2019-01-01 49557 2020-01-01 55684 2021-01-01 51354 2022-01-01 55011