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 Wilkinson County, MS Series ID: MHICILBMS28157A052NCEN 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 1:12 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 10501 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 11146 1994-01-01 . 1995-01-01 13837 1996-01-01 . 1997-01-01 15047 1998-01-01 17439 1999-01-01 18363 2000-01-01 18536 2001-01-01 18414 2002-01-01 18945 2003-01-01 19906 2004-01-01 20323 2005-01-01 19971 2006-01-01 20933 2007-01-01 22146 2008-01-01 24269 2009-01-01 23460 2010-01-01 25037 2011-01-01 24018 2012-01-01 24265 2013-01-01 23849 2014-01-01 24690 2015-01-01 25618 2016-01-01 23611 2017-01-01 24898 2018-01-01 26899 2019-01-01 28626 2020-01-01 30644 2021-01-01 29504 2022-01-01 32168