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 Lower Bound of Estimate of Median Household Income for Morgan County, TN Series ID: MHICILBTN47129A052NCEN 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 1:53 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 16458 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19509 1994-01-01 . 1995-01-01 22242 1996-01-01 . 1997-01-01 22838 1998-01-01 24023 1999-01-01 25619 2000-01-01 26569 2001-01-01 26309 2002-01-01 27136 2003-01-01 27804 2004-01-01 28504 2005-01-01 27286 2006-01-01 29742 2007-01-01 32184 2008-01-01 30914 2009-01-01 31684 2010-01-01 32194 2011-01-01 32085 2012-01-01 33062 2013-01-01 35106 2014-01-01 32724 2015-01-01 43799 2016-01-01 34505 2017-01-01 36881 2018-01-01 36288 2019-01-01 39333 2020-01-01 43181 2021-01-01 42483 2022-01-01 55589