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 Wilkinson County, MS Series ID: MHICIUBMS28157A052NCEN 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 15171 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 15785 1994-01-01 . 1995-01-01 19809 1996-01-01 . 1997-01-01 21499 1998-01-01 23963 1999-01-01 21134 2000-01-01 21676 2001-01-01 21391 2002-01-01 22039 2003-01-01 22837 2004-01-01 23323 2005-01-01 23838 2006-01-01 24772 2007-01-01 26872 2008-01-01 29249 2009-01-01 28900 2010-01-01 30207 2011-01-01 29458 2012-01-01 29523 2013-01-01 28897 2014-01-01 30502 2015-01-01 31452 2016-01-01 29169 2017-01-01 31026 2018-01-01 32901 2019-01-01 36598 2020-01-01 40144 2021-01-01 38050 2022-01-01 41428