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 Whiteside County, IL Series ID: MHICILBIL17195A052NCEN 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 24526 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29161 1994-01-01 . 1995-01-01 30794 1996-01-01 . 1997-01-01 34368 1998-01-01 35735 1999-01-01 36694 2000-01-01 38170 2001-01-01 37338 2002-01-01 36899 2003-01-01 36828 2004-01-01 38769 2005-01-01 37578 2006-01-01 40506 2007-01-01 41312 2008-01-01 43423 2009-01-01 42267 2010-01-01 42675 2011-01-01 42701 2012-01-01 42526 2013-01-01 47535 2014-01-01 47222 2015-01-01 42561 2016-01-01 48321 2017-01-01 49730 2018-01-01 54639 2019-01-01 46745 2020-01-01 58869 2021-01-01 52354 2022-01-01 56283