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 Madison County, MS Series ID: MHICILBMS28089A052NCEN 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 19586 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27236 1994-01-01 . 1995-01-01 32358 1996-01-01 . 1997-01-01 34346 1998-01-01 36744 1999-01-01 40813 2000-01-01 43117 2001-01-01 42909 2002-01-01 43193 2003-01-01 46635 2004-01-01 47290 2005-01-01 48760 2006-01-01 52858 2007-01-01 55280 2008-01-01 57050 2009-01-01 51222 2010-01-01 52533 2011-01-01 51792 2012-01-01 55877 2013-01-01 59816 2014-01-01 61895 2015-01-01 61758 2016-01-01 61270 2017-01-01 64702 2018-01-01 72491 2019-01-01 65676 2020-01-01 57948 2021-01-01 71038 2022-01-01 73489