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 Cass County, IN Series ID: MHICIUBIN18017A052NCEN 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 1:53 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 27822 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31676 1994-01-01 . 1995-01-01 35271 1996-01-01 . 1997-01-01 38084 1998-01-01 39329 1999-01-01 39916 2000-01-01 42568 2001-01-01 41303 2002-01-01 41205 2003-01-01 41372 2004-01-01 42128 2005-01-01 44260 2006-01-01 44433 2007-01-01 47630 2008-01-01 46159 2009-01-01 46478 2010-01-01 41256 2011-01-01 44917 2012-01-01 43530 2013-01-01 44129 2014-01-01 48196 2015-01-01 49440 2016-01-01 50002 2017-01-01 52377 2018-01-01 52565 2019-01-01 55223 2020-01-01 55773 2021-01-01 58349 2022-01-01 67001