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 Scott County, IL Series ID: MHICILBIL17171A052NCEN 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 1:54 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 21132 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25420 1994-01-01 . 1995-01-01 25644 1996-01-01 . 1997-01-01 30451 1998-01-01 31759 1999-01-01 33244 2000-01-01 34450 2001-01-01 34507 2002-01-01 34524 2003-01-01 35465 2004-01-01 38006 2005-01-01 38994 2006-01-01 38242 2007-01-01 39914 2008-01-01 42016 2009-01-01 45185 2010-01-01 44335 2011-01-01 44176 2012-01-01 42990 2013-01-01 41813 2014-01-01 46178 2015-01-01 46016 2016-01-01 47675 2017-01-01 44838 2018-01-01 49396 2019-01-01 54734 2020-01-01 50125 2021-01-01 56684 2022-01-01 56932