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 Volusia County, FL Series ID: MHICILBFL12127A052NCEN 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 1:54 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 19938 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24185 1994-01-01 . 1995-01-01 25569 1996-01-01 . 1997-01-01 27039 1998-01-01 28472 1999-01-01 31057 2000-01-01 32919 2001-01-01 32565 2002-01-01 32808 2003-01-01 34017 2004-01-01 35095 2005-01-01 37283 2006-01-01 39740 2007-01-01 40792 2008-01-01 44286 2009-01-01 40083 2010-01-01 39942 2011-01-01 36639 2012-01-01 38929 2013-01-01 39865 2014-01-01 39563 2015-01-01 40670 2016-01-01 43585 2017-01-01 45122 2018-01-01 49088 2019-01-01 51240 2020-01-01 52265 2021-01-01 56425 2022-01-01 62394