Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Levy County, FL Series ID: MHICIUBFL12075A052NCEN 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 2019-01-01 Last Updated: 2020-12-10 6:50 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 19424 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22905 1994-01-01 . 1995-01-01 26881 1996-01-01 . 1997-01-01 27942 1998-01-01 29073 1999-01-01 28271 2000-01-01 29892 2001-01-01 28912 2002-01-01 29206 2003-01-01 29726 2004-01-01 31231 2005-01-01 31919 2006-01-01 34356 2007-01-01 37183 2008-01-01 38571 2009-01-01 35290 2010-01-01 35076 2011-01-01 36362 2012-01-01 35438 2013-01-01 35628 2014-01-01 40080 2015-01-01 38204 2016-01-01 35404 2017-01-01 40798 2018-01-01 42067 2019-01-01 45215