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 Lincoln County, TN Series ID: MHICIUBTN47103A052NCEN 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 24809 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28325 1994-01-01 . 1995-01-01 31210 1996-01-01 . 1997-01-01 33249 1998-01-01 35543 1999-01-01 35147 2000-01-01 37275 2001-01-01 36348 2002-01-01 37162 2003-01-01 38022 2004-01-01 39353 2005-01-01 40499 2006-01-01 43157 2007-01-01 44669 2008-01-01 44192 2009-01-01 43118 2010-01-01 43708 2011-01-01 42026 2012-01-01 45629 2013-01-01 44396 2014-01-01 44272 2015-01-01 47292 2016-01-01 46904 2017-01-01 54052 2018-01-01 54811 2019-01-01 59220 2020-01-01 63069 2021-01-01 54673 2022-01-01 66713