Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kane County, IL Series ID: MHICIUBIL17089A052NCEN 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 40338 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 48293 1994-01-01 . 1995-01-01 53450 1996-01-01 . 1997-01-01 56235 1998-01-01 59966 1999-01-01 60511 2000-01-01 63899 2001-01-01 62906 2002-01-01 63655 2003-01-01 63394 2004-01-01 64948 2005-01-01 65707 2006-01-01 66395 2007-01-01 70739 2008-01-01 68555 2009-01-01 68892 2010-01-01 67875 2011-01-01 69187 2012-01-01 67481 2013-01-01 73950 2014-01-01 74696 2015-01-01 72695 2016-01-01 77050 2017-01-01 77691 2018-01-01 82785 2019-01-01 87227 2020-01-01 87605 2021-01-01 94483 2022-01-01 97727