Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Collier County, FL Series ID: MHICILBFL12021A052NCEN 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 11:27 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 28698 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31562 1994-01-01 . 1995-01-01 35429 1996-01-01 . 1997-01-01 38013 1998-01-01 39797 1999-01-01 42254 2000-01-01 44540 2001-01-01 44178 2002-01-01 44529 2003-01-01 45402 2004-01-01 45951 2005-01-01 49656 2006-01-01 54230 2007-01-01 55248 2008-01-01 59045 2009-01-01 51533 2010-01-01 50891 2011-01-01 49408 2012-01-01 52104 2013-01-01 52015 2014-01-01 55663 2015-01-01 59953 2016-01-01 59078 2017-01-01 63661 2018-01-01 66898