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 Cannon County, TN Series ID: MHICIUBTN47015A052NCEN 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 23869 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28755 1994-01-01 . 1995-01-01 32301 1996-01-01 . 1997-01-01 33166 1998-01-01 34117 1999-01-01 34326 2000-01-01 36679 2001-01-01 35456 2002-01-01 36641 2003-01-01 37947 2004-01-01 39633 2005-01-01 39435 2006-01-01 41982 2007-01-01 42933 2008-01-01 44295 2009-01-01 41830 2010-01-01 38981 2011-01-01 40347 2012-01-01 42700 2013-01-01 44619 2014-01-01 45304 2015-01-01 48266 2016-01-01 49263 2017-01-01 56126 2018-01-01 56178 2019-01-01 58045 2020-01-01 57148 2021-01-01 59461 2022-01-01 69167