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 Warren County, IL Series ID: MHICILBIL17187A052NCEN 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 20398 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25142 1994-01-01 . 1995-01-01 25672 1996-01-01 . 1997-01-01 28269 1998-01-01 29507 1999-01-01 32490 2000-01-01 33811 2001-01-01 33717 2002-01-01 33349 2003-01-01 34301 2004-01-01 36299 2005-01-01 34818 2006-01-01 36633 2007-01-01 37976 2008-01-01 39425 2009-01-01 38966 2010-01-01 40011 2011-01-01 40927 2012-01-01 39535 2013-01-01 41871 2014-01-01 40571 2015-01-01 41892 2016-01-01 44236 2017-01-01 49154 2018-01-01 47905 2019-01-01 48714 2020-01-01 49448 2021-01-01 55407 2022-01-01 51465