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, IL Series ID: MHICILBIL17119A052NCEN 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 26645 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31082 1994-01-01 . 1995-01-01 33333 1996-01-01 . 1997-01-01 36568 1998-01-01 38058 1999-01-01 38328 2000-01-01 39092 2001-01-01 38921 2002-01-01 39811 2003-01-01 41271 2004-01-01 42658 2005-01-01 45528 2006-01-01 45268 2007-01-01 50687 2008-01-01 49363 2009-01-01 48919 2010-01-01 49845 2011-01-01 48664 2012-01-01 50273 2013-01-01 51239 2014-01-01 51642 2015-01-01 50976 2016-01-01 53161 2017-01-01 55285 2018-01-01 57390 2019-01-01 62791 2020-01-01 60385 2021-01-01 62458 2022-01-01 64520