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 Calhoun County, IL Series ID: MHICIUBIL17013A052NCEN 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 1:53 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 23867 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26794 1994-01-01 . 1995-01-01 30947 1996-01-01 . 1997-01-01 35568 1998-01-01 36852 1999-01-01 37216 2000-01-01 39210 2001-01-01 38698 2002-01-01 40133 2003-01-01 40400 2004-01-01 42700 2005-01-01 43723 2006-01-01 45756 2007-01-01 48230 2008-01-01 48505 2009-01-01 48867 2010-01-01 49987 2011-01-01 52018 2012-01-01 51480 2013-01-01 52550 2014-01-01 54615 2015-01-01 56236 2016-01-01 56207 2017-01-01 60669 2018-01-01 61996 2019-01-01 69447 2020-01-01 70275 2021-01-01 70794 2022-01-01 76581