Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Okaloosa County, FL Series ID: MHICIUBFL12091A052NCEN 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 2018-01-01 Last Updated: 2019-12-13 11:21 AM 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 29142 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33721 1994-01-01 . 1995-01-01 36330 1996-01-01 . 1997-01-01 39693 1998-01-01 40982 1999-01-01 42085 2000-01-01 44770 2001-01-01 44005 2002-01-01 44885 2003-01-01 45901 2004-01-01 48329 2005-01-01 52009 2006-01-01 55236 2007-01-01 56936 2008-01-01 57793 2009-01-01 51425 2010-01-01 53425 2011-01-01 52843 2012-01-01 54847 2013-01-01 56851 2014-01-01 59382 2015-01-01 57242 2016-01-01 61717 2017-01-01 63727 2018-01-01 65843