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 Seminole County, FL Series ID: MHICIUBFL12117A052NCEN 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 1:11 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 35979 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 39698 1994-01-01 . 1995-01-01 44160 1996-01-01 . 1997-01-01 45855 1998-01-01 46884 1999-01-01 49485 2000-01-01 53648 2001-01-01 52525 2002-01-01 52204 2003-01-01 52282 2004-01-01 54009 2005-01-01 53963 2006-01-01 58461 2007-01-01 58410 2008-01-01 60486 2009-01-01 58386 2010-01-01 59290 2011-01-01 57029 2012-01-01 57172 2013-01-01 57784 2014-01-01 58633 2015-01-01 60114 2016-01-01 64395 2017-01-01 66855 2018-01-01 69647 2019-01-01 73186 2020-01-01 74969 2021-01-01 73233 2022-01-01 83623