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 Cook County, IL Series ID: MHICILBIL17031A052NCEN 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 28651 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32435 1994-01-01 . 1995-01-01 36539 1996-01-01 . 1997-01-01 38702 1998-01-01 40283 1999-01-01 41497 2000-01-01 43515 2001-01-01 41905 2002-01-01 41225 2003-01-01 41180 2004-01-01 41959 2005-01-01 48143 2006-01-01 50235 2007-01-01 51800 2008-01-01 53782 2009-01-01 51912 2010-01-01 50994 2011-01-01 50286 2012-01-01 51574 2013-01-01 52947 2014-01-01 54418 2015-01-01 56197 2016-01-01 59262 2017-01-01 60743 2018-01-01 62265 2019-01-01 68331 2020-01-01 70119 2021-01-01 71173 2022-01-01 75665