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 Marshall County, IN Series ID: MHICILBIN18099A052NCEN 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 25694 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31295 1994-01-01 . 1995-01-01 32886 1996-01-01 . 1997-01-01 36262 1998-01-01 38731 1999-01-01 39143 2000-01-01 40077 2001-01-01 39356 2002-01-01 39223 2003-01-01 40565 2004-01-01 42427 2005-01-01 43852 2006-01-01 48065 2007-01-01 48596 2008-01-01 46364 2009-01-01 42577 2010-01-01 40229 2011-01-01 43466 2012-01-01 42441 2013-01-01 42183 2014-01-01 48847 2015-01-01 46202 2016-01-01 49439 2017-01-01 49397 2018-01-01 51096 2019-01-01 49335 2020-01-01 51932 2021-01-01 64396 2022-01-01 64662