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 Stark County, IL Series ID: MHICIUBIL17175A052NCEN 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 27539 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31739 1994-01-01 . 1995-01-01 34915 1996-01-01 . 1997-01-01 38841 1998-01-01 39466 1999-01-01 39340 2000-01-01 41113 2001-01-01 40685 2002-01-01 39786 2003-01-01 40067 2004-01-01 43189 2005-01-01 47836 2006-01-01 44945 2007-01-01 47035 2008-01-01 49652 2009-01-01 50484 2010-01-01 53279 2011-01-01 51486 2012-01-01 52925 2013-01-01 56314 2014-01-01 55474 2015-01-01 54988 2016-01-01 59571 2017-01-01 56289 2018-01-01 57938 2019-01-01 61278 2020-01-01 62658 2021-01-01 64997 2022-01-01 66019