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 Lake County, IL Series ID: MHICIUBIL17097A052NCEN 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 45875 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 54322 1994-01-01 . 1995-01-01 62099 1996-01-01 . 1997-01-01 66119 1998-01-01 66249 1999-01-01 69624 2000-01-01 71227 2001-01-01 71803 2002-01-01 72412 2003-01-01 70328 2004-01-01 71010 2005-01-01 71472 2006-01-01 77064 2007-01-01 79735 2008-01-01 80577 2009-01-01 78420 2010-01-01 76616 2011-01-01 76352 2012-01-01 76682 2013-01-01 77600 2014-01-01 80672 2015-01-01 84178 2016-01-01 85653 2017-01-01 89386 2018-01-01 89486 2019-01-01 95688 2020-01-01 103753 2021-01-01 100104 2022-01-01 104710