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 Lake County, FL Series ID: MHICILBFL12069A052NCEN 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 18574 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22684 1994-01-01 . 1995-01-01 25407 1996-01-01 . 1997-01-01 27803 1998-01-01 29899 1999-01-01 32962 2000-01-01 34766 2001-01-01 34237 2002-01-01 34970 2003-01-01 36697 2004-01-01 38276 2005-01-01 38385 2006-01-01 40694 2007-01-01 44532 2008-01-01 43512 2009-01-01 40754 2010-01-01 40556 2011-01-01 42722 2012-01-01 39822 2013-01-01 41908 2014-01-01 44754 2015-01-01 47363 2016-01-01 47640 2017-01-01 48828 2018-01-01 49778 2019-01-01 54674 2020-01-01 53972 2021-01-01 62439 2022-01-01 64274