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 Tennessee Series ID: MHICILBTN47000A052NCEN 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 1:12 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 22766 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25804 1994-01-01 . 1995-01-01 28552 1996-01-01 29324 1997-01-01 30416 1998-01-01 32511 1999-01-01 34281 2000-01-01 33970 2001-01-01 35211 2002-01-01 35434 2003-01-01 36514 2004-01-01 37537 2005-01-01 38483 2006-01-01 39955 2007-01-01 42049 2008-01-01 43190 2009-01-01 41286 2010-01-01 41068 2011-01-01 41276 2012-01-01 42182 2013-01-01 43776 2014-01-01 43810 2015-01-01 46760 2016-01-01 47850 2017-01-01 50914 2018-01-01 51884 2019-01-01 55399 2020-01-01 56112 2021-01-01 58920 2022-01-01 64399