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 Clark County, IL Series ID: MHICILBIL17023A052NCEN 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 19801 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25395 1994-01-01 . 1995-01-01 26824 1996-01-01 . 1997-01-01 29714 1998-01-01 30422 1999-01-01 32906 2000-01-01 34200 2001-01-01 33962 2002-01-01 34238 2003-01-01 35144 2004-01-01 36679 2005-01-01 35509 2006-01-01 36951 2007-01-01 41483 2008-01-01 44986 2009-01-01 39667 2010-01-01 40400 2011-01-01 45181 2012-01-01 43490 2013-01-01 42421 2014-01-01 46348 2015-01-01 45721 2016-01-01 46869 2017-01-01 50029 2018-01-01 48695 2019-01-01 52427 2020-01-01 52198 2021-01-01 52145 2022-01-01 56077