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 Monroe County, IL Series ID: MHICILBIL17133A052NCEN 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 31685 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 38034 1994-01-01 . 1995-01-01 42106 1996-01-01 . 1997-01-01 46485 1998-01-01 49473 1999-01-01 51291 2000-01-01 53320 2001-01-01 53822 2002-01-01 55372 2003-01-01 57140 2004-01-01 59748 2005-01-01 57058 2006-01-01 58059 2007-01-01 61182 2008-01-01 65440 2009-01-01 64192 2010-01-01 64205 2011-01-01 64573 2012-01-01 69323 2013-01-01 66592 2014-01-01 68057 2015-01-01 72280 2016-01-01 75441 2017-01-01 75570 2018-01-01 82895 2019-01-01 83743 2020-01-01 77300 2021-01-01 87077 2022-01-01 88585