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 Taylor County, FL Series ID: MHICILBFL12123A052NCEN 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 1:12 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 18515 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21063 1994-01-01 . 1995-01-01 22821 1996-01-01 . 1997-01-01 24241 1998-01-01 25725 1999-01-01 27332 2000-01-01 28489 2001-01-01 27832 2002-01-01 28177 2003-01-01 28974 2004-01-01 29834 2005-01-01 30038 2006-01-01 32153 2007-01-01 34743 2008-01-01 32915 2009-01-01 31072 2010-01-01 32088 2011-01-01 30762 2012-01-01 32965 2013-01-01 34890 2014-01-01 32720 2015-01-01 35276 2016-01-01 35953 2017-01-01 37069 2018-01-01 38034 2019-01-01 38904 2020-01-01 38545 2021-01-01 41502 2022-01-01 42770