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 Marshall County, TN Series ID: MHICIUBTN47117A052NCEN 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 26210 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31280 1994-01-01 . 1995-01-01 35219 1996-01-01 . 1997-01-01 36459 1998-01-01 38607 1999-01-01 39926 2000-01-01 42449 2001-01-01 41213 2002-01-01 42295 2003-01-01 41133 2004-01-01 41230 2005-01-01 38868 2006-01-01 41482 2007-01-01 46740 2008-01-01 44742 2009-01-01 45833 2010-01-01 43347 2011-01-01 43601 2012-01-01 45144 2013-01-01 46369 2014-01-01 46452 2015-01-01 50871 2016-01-01 54453 2017-01-01 57594 2018-01-01 56779 2019-01-01 63301 2020-01-01 64177 2021-01-01 69960 2022-01-01 70798