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 Upper Bound of Estimate of Median Household Income for Sevier County, TN Series ID: MHICIUBTN47155A052NCEN 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 1:51 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 25157 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28550 1994-01-01 . 1995-01-01 32993 1996-01-01 . 1997-01-01 33213 1998-01-01 34280 1999-01-01 35028 2000-01-01 37710 2001-01-01 36774 2002-01-01 37067 2003-01-01 38293 2004-01-01 39575 2005-01-01 40991 2006-01-01 42112 2007-01-01 43187 2008-01-01 42801 2009-01-01 43595 2010-01-01 42277 2011-01-01 43190 2012-01-01 44151 2013-01-01 43009 2014-01-01 42634 2015-01-01 44641 2016-01-01 47264 2017-01-01 51295 2018-01-01 50878 2019-01-01 58470 2020-01-01 58737 2021-01-01 55998 2022-01-01 63990