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 Illinois Series ID: MHICIUBIL17000A052NCEN 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 1:10 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 32874 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34679 1994-01-01 . 1995-01-01 39403 1996-01-01 41000 1997-01-01 42581 1998-01-01 44588 1999-01-01 46513 2000-01-01 47886 2001-01-01 48314 2002-01-01 46664 2003-01-01 48863 2004-01-01 49121 2005-01-01 50601 2006-01-01 52282 2007-01-01 54504 2008-01-01 56590 2009-01-01 54368 2010-01-01 53393 2011-01-01 53769 2012-01-01 55527 2013-01-01 56610 2014-01-01 57881 2015-01-01 60094 2016-01-01 61363 2017-01-01 63579 2018-01-01 65556 2019-01-01 69791 2020-01-01 71859 2021-01-01 72785 2022-01-01 77323