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 Forrest County, MS Series ID: MHICIUBMS28035A052NCEN 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 1:52 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 20716 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23705 1994-01-01 . 1995-01-01 28116 1996-01-01 . 1997-01-01 30572 1998-01-01 32857 1999-01-01 29765 2000-01-01 32090 2001-01-01 30578 2002-01-01 30521 2003-01-01 31319 2004-01-01 30535 2005-01-01 31548 2006-01-01 33252 2007-01-01 35331 2008-01-01 36700 2009-01-01 36657 2010-01-01 35385 2011-01-01 36343 2012-01-01 34538 2013-01-01 36994 2014-01-01 39320 2015-01-01 38191 2016-01-01 40133 2017-01-01 42795 2018-01-01 41427 2019-01-01 43695 2020-01-01 46189 2021-01-01 48750 2022-01-01 54837