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 Greene County, MS Series ID: MHICIUBMS28041A052NCEN 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 18787 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22625 1994-01-01 . 1995-01-01 27055 1996-01-01 . 1997-01-01 27845 1998-01-01 29414 1999-01-01 29200 2000-01-01 30999 2001-01-01 29921 2002-01-01 29791 2003-01-01 30776 2004-01-01 31682 2005-01-01 33772 2006-01-01 35490 2007-01-01 38677 2008-01-01 40279 2009-01-01 39398 2010-01-01 40737 2011-01-01 41232 2012-01-01 40845 2013-01-01 41620 2014-01-01 43826 2015-01-01 46863 2016-01-01 43429 2017-01-01 48895 2018-01-01 46631 2019-01-01 54129 2020-01-01 53688 2021-01-01 50478 2022-01-01 57524