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 Sullivan County, IN Series ID: MHICIUBIN18153A052NCEN 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 1:52 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 24945 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29307 1994-01-01 . 1995-01-01 32696 1996-01-01 . 1997-01-01 34177 1998-01-01 35549 1999-01-01 34782 2000-01-01 36420 2001-01-01 35360 2002-01-01 35628 2003-01-01 36614 2004-01-01 38220 2005-01-01 40274 2006-01-01 41975 2007-01-01 44434 2008-01-01 45452 2009-01-01 42919 2010-01-01 45802 2011-01-01 46510 2012-01-01 45104 2013-01-01 46013 2014-01-01 48110 2015-01-01 48928 2016-01-01 49722 2017-01-01 51319 2018-01-01 52018 2019-01-01 57555 2020-01-01 50700 2021-01-01 51273 2022-01-01 61182