Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Boone County, IL Series ID: MHICIUBIL17007A052NCEN 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 35292 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 42271 1994-01-01 . 1995-01-01 49342 1996-01-01 . 1997-01-01 52851 1998-01-01 54952 1999-01-01 55256 2000-01-01 57845 2001-01-01 56572 2002-01-01 56503 2003-01-01 56662 2004-01-01 58517 2005-01-01 59344 2006-01-01 61390 2007-01-01 64239 2008-01-01 66619 2009-01-01 65267 2010-01-01 61523 2011-01-01 62744 2012-01-01 65169 2013-01-01 64115 2014-01-01 64050 2015-01-01 67992 2016-01-01 67992 2017-01-01 74709 2018-01-01 81165 2019-01-01 78261 2020-01-01 91157 2021-01-01 79480 2022-01-01 90346