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 Gallatin County, IL Series ID: MHICILBIL17059A052NCEN 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 1:12 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 18370 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20726 1994-01-01 . 1995-01-01 19586 1996-01-01 . 1997-01-01 23112 1998-01-01 24685 1999-01-01 25263 2000-01-01 26123 2001-01-01 26015 2002-01-01 25911 2003-01-01 26533 2004-01-01 28049 2005-01-01 27149 2006-01-01 27996 2007-01-01 30520 2008-01-01 31589 2009-01-01 30796 2010-01-01 33984 2011-01-01 33181 2012-01-01 34698 2013-01-01 36623 2014-01-01 36674 2015-01-01 36903 2016-01-01 35865 2017-01-01 37945 2018-01-01 38891 2019-01-01 41041 2020-01-01 37786 2021-01-01 43088 2022-01-01 44960