Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sarasota County, FL Series ID: MHICIUBFL12115A052NCEN 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 30034 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32798 1994-01-01 . 1995-01-01 37164 1996-01-01 . 1997-01-01 40478 1998-01-01 42500 1999-01-01 43058 2000-01-01 45338 2001-01-01 44092 2002-01-01 44162 2003-01-01 44970 2004-01-01 46732 2005-01-01 46620 2006-01-01 50393 2007-01-01 51827 2008-01-01 50430 2009-01-01 47735 2010-01-01 47747 2011-01-01 49824 2012-01-01 50276 2013-01-01 50960 2014-01-01 53546 2015-01-01 58101 2016-01-01 57034 2017-01-01 61293 2018-01-01 63370 2019-01-01 68634 2020-01-01 70967 2021-01-01 74437 2022-01-01 81280