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 Claiborne County, TN Series ID: MHICIUBTN47025A052NCEN 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 1:09 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 18699 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21801 1994-01-01 . 1995-01-01 25856 1996-01-01 . 1997-01-01 26786 1998-01-01 28441 1999-01-01 27764 2000-01-01 28966 2001-01-01 27981 2002-01-01 28667 2003-01-01 29748 2004-01-01 30506 2005-01-01 32174 2006-01-01 32125 2007-01-01 31931 2008-01-01 34834 2009-01-01 33669 2010-01-01 31476 2011-01-01 37305 2012-01-01 35360 2013-01-01 35584 2014-01-01 36212 2015-01-01 38198 2016-01-01 36674 2017-01-01 40277 2018-01-01 41680 2019-01-01 44358 2020-01-01 49521 2021-01-01 47285 2022-01-01 44874