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 Noxubee County, MS Series ID: MHICIUBMS28103A052NCEN 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 1:11 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 15251 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 18163 1994-01-01 . 1995-01-01 21711 1996-01-01 . 1997-01-01 23612 1998-01-01 25125 1999-01-01 23387 2000-01-01 24669 2001-01-01 23563 2002-01-01 23337 2003-01-01 23645 2004-01-01 24441 2005-01-01 26213 2006-01-01 26884 2007-01-01 26830 2008-01-01 28100 2009-01-01 26492 2010-01-01 27008 2011-01-01 23798 2012-01-01 28313 2013-01-01 29136 2014-01-01 31590 2015-01-01 30941 2016-01-01 32315 2017-01-01 33485 2018-01-01 35432 2019-01-01 36789 2020-01-01 41067 2021-01-01 38744 2022-01-01 41117