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 Alachua County, FL Series ID: MHICILBFL12001A052NCEN 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 21541 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24445 1994-01-01 . 1995-01-01 24978 1996-01-01 . 1997-01-01 28423 1998-01-01 30650 1999-01-01 29873 2000-01-01 30414 2001-01-01 29950 2002-01-01 30038 2003-01-01 31179 2004-01-01 32617 2005-01-01 33377 2006-01-01 35236 2007-01-01 36036 2008-01-01 40420 2009-01-01 36143 2010-01-01 38367 2011-01-01 37698 2012-01-01 38986 2013-01-01 37259 2014-01-01 41434 2015-01-01 44688 2016-01-01 42580 2017-01-01 42790 2018-01-01 49332 2019-01-01 47507 2020-01-01 49562 2021-01-01 51974 2022-01-01 54516