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 Greene County, IL Series ID: MHICILBIL17061A052NCEN 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 17915 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21809 1994-01-01 . 1995-01-01 22828 1996-01-01 . 1997-01-01 25958 1998-01-01 26372 1999-01-01 29104 2000-01-01 30456 2001-01-01 30288 2002-01-01 30479 2003-01-01 31625 2004-01-01 33254 2005-01-01 32912 2006-01-01 33224 2007-01-01 34322 2008-01-01 35094 2009-01-01 36026 2010-01-01 36743 2011-01-01 38991 2012-01-01 37989 2013-01-01 38001 2014-01-01 36166 2015-01-01 39893 2016-01-01 40869 2017-01-01 43576 2018-01-01 42553 2019-01-01 47259 2020-01-01 44096 2021-01-01 48252 2022-01-01 52998