Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Meigs County, TN Series ID: MHICILBTN47121A052NCEN 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 19810 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22609 1994-01-01 . 1995-01-01 23558 1996-01-01 . 1997-01-01 23811 1998-01-01 25534 1999-01-01 27286 2000-01-01 27901 2001-01-01 27432 2002-01-01 27600 2003-01-01 28863 2004-01-01 30659 2005-01-01 30126 2006-01-01 31406 2007-01-01 33642 2008-01-01 32177 2009-01-01 32097 2010-01-01 33100 2011-01-01 33528 2012-01-01 32923 2013-01-01 34396 2014-01-01 31924 2015-01-01 37344 2016-01-01 36854 2017-01-01 41795 2018-01-01 47458 2019-01-01 43131 2020-01-01 42163 2021-01-01 45864 2022-01-01 48032