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 Ford County, IL Series ID: MHICIUBIL17053A052NCEN 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 28050 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32783 1994-01-01 . 1995-01-01 35909 1996-01-01 . 1997-01-01 39755 1998-01-01 40585 1999-01-01 40726 2000-01-01 43104 2001-01-01 42743 2002-01-01 43516 2003-01-01 43681 2004-01-01 45409 2005-01-01 44889 2006-01-01 47801 2007-01-01 50249 2008-01-01 55662 2009-01-01 50226 2010-01-01 53017 2011-01-01 53667 2012-01-01 52925 2013-01-01 56305 2014-01-01 55203 2015-01-01 57318 2016-01-01 57158 2017-01-01 61025 2018-01-01 60245 2019-01-01 60135 2020-01-01 66951 2021-01-01 64131 2022-01-01 75412