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 Okaloosa County, FL Series ID: MHICILBFL12091A052NCEN 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 24891 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29446 1994-01-01 . 1995-01-01 30590 1996-01-01 . 1997-01-01 33868 1998-01-01 35236 1999-01-01 37075 2000-01-01 38852 2001-01-01 38561 2002-01-01 39277 2003-01-01 40607 2004-01-01 42694 2005-01-01 46759 2006-01-01 49993 2007-01-01 52331 2008-01-01 51048 2009-01-01 47005 2010-01-01 48921 2011-01-01 46443 2012-01-01 49915 2013-01-01 51679 2014-01-01 52522 2015-01-01 53540 2016-01-01 54301 2017-01-01 57869 2018-01-01 59715 2019-01-01 59467 2020-01-01 58927 2021-01-01 64562 2022-01-01 72478