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 Moultrie County, IL Series ID: MHICIUBIL17139A052NCEN 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 1:10 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 28838 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34498 1994-01-01 . 1995-01-01 37135 1996-01-01 . 1997-01-01 40968 1998-01-01 42439 1999-01-01 41910 2000-01-01 44115 2001-01-01 43010 2002-01-01 42904 2003-01-01 43372 2004-01-01 46421 2005-01-01 44581 2006-01-01 47627 2007-01-01 50909 2008-01-01 52484 2009-01-01 49716 2010-01-01 51278 2011-01-01 54065 2012-01-01 55406 2013-01-01 52175 2014-01-01 56989 2015-01-01 63099 2016-01-01 62886 2017-01-01 65882 2018-01-01 66217 2019-01-01 71869 2020-01-01 67252 2021-01-01 77624 2022-01-01 84760