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 Mason County, IL Series ID: MHICILBIL17125A052NCEN 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 1:54 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 22149 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25911 1994-01-01 . 1995-01-01 26877 1996-01-01 . 1997-01-01 30152 1998-01-01 32196 1999-01-01 33053 2000-01-01 34499 2001-01-01 34068 2002-01-01 34178 2003-01-01 34152 2004-01-01 35902 2005-01-01 35195 2006-01-01 36256 2007-01-01 39151 2008-01-01 38394 2009-01-01 39886 2010-01-01 38797 2011-01-01 39559 2012-01-01 41057 2013-01-01 41565 2014-01-01 42641 2015-01-01 39949 2016-01-01 43047 2017-01-01 48147 2018-01-01 44421 2019-01-01 48135 2020-01-01 46226 2021-01-01 54206 2022-01-01 53763