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 Benton County, MS Series ID: MHICILBMS28009A052NCEN 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 14215 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 15713 1994-01-01 . 1995-01-01 18016 1996-01-01 . 1997-01-01 20262 1998-01-01 21752 1999-01-01 22833 2000-01-01 22935 2001-01-01 22352 2002-01-01 22911 2003-01-01 23986 2004-01-01 24451 2005-01-01 23716 2006-01-01 25201 2007-01-01 27097 2008-01-01 25881 2009-01-01 27276 2010-01-01 24958 2011-01-01 25061 2012-01-01 26230 2013-01-01 27195 2014-01-01 27490 2015-01-01 29259 2016-01-01 33437 2017-01-01 32235 2018-01-01 31506 2019-01-01 33832 2020-01-01 33125 2021-01-01 36056 2022-01-01 37897