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 Franklin County, MS Series ID: MHICIUBMS28037A052NCEN 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 18642 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19957 1994-01-01 . 1995-01-01 23327 1996-01-01 . 1997-01-01 25908 1998-01-01 27580 1999-01-01 26598 2000-01-01 27807 2001-01-01 26916 2002-01-01 27068 2003-01-01 28079 2004-01-01 29741 2005-01-01 31930 2006-01-01 32422 2007-01-01 34392 2008-01-01 35687 2009-01-01 35244 2010-01-01 35357 2011-01-01 37480 2012-01-01 33992 2013-01-01 39207 2014-01-01 40176 2015-01-01 40102 2016-01-01 41455 2017-01-01 42544 2018-01-01 43715 2019-01-01 46122 2020-01-01 48223 2021-01-01 49034 2022-01-01 52711