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 Hamilton County, TN Series ID: MHICILBTN47065A052NCEN 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 23744 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28429 1994-01-01 . 1995-01-01 30024 1996-01-01 . 1997-01-01 31944 1998-01-01 33059 1999-01-01 34972 2000-01-01 36388 2001-01-01 36272 2002-01-01 36448 2003-01-01 37350 2004-01-01 37987 2005-01-01 38825 2006-01-01 40754 2007-01-01 43333 2008-01-01 45714 2009-01-01 40851 2010-01-01 41472 2011-01-01 40352 2012-01-01 45538 2013-01-01 44812 2014-01-01 46617 2015-01-01 46343 2016-01-01 46143 2017-01-01 49096 2018-01-01 54736 2019-01-01 55082 2020-01-01 57533 2021-01-01 62522 2022-01-01 71902