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 Forrest County, MS Series ID: MHICILBMS28035A052NCEN 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 1:54 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 16395 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19377 1994-01-01 . 1995-01-01 22406 1996-01-01 . 1997-01-01 24716 1998-01-01 27042 1999-01-01 26203 2000-01-01 27788 2001-01-01 26743 2002-01-01 26652 2003-01-01 27619 2004-01-01 26879 2005-01-01 27580 2006-01-01 28598 2007-01-01 29847 2008-01-01 30687 2009-01-01 31161 2010-01-01 29725 2011-01-01 30063 2012-01-01 29882 2013-01-01 31788 2014-01-01 34296 2015-01-01 32205 2016-01-01 33285 2017-01-01 35993 2018-01-01 36695 2019-01-01 36753 2020-01-01 37975 2021-01-01 41902 2022-01-01 47851