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 Jackson County, IN Series ID: MHICIUBIN18071A052NCEN 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 27381 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32614 1994-01-01 . 1995-01-01 37235 1996-01-01 . 1997-01-01 38493 1998-01-01 40248 1999-01-01 41459 2000-01-01 43860 2001-01-01 42858 2002-01-01 43222 2003-01-01 44267 2004-01-01 45928 2005-01-01 43594 2006-01-01 46337 2007-01-01 48386 2008-01-01 51381 2009-01-01 45098 2010-01-01 49350 2011-01-01 48409 2012-01-01 49750 2013-01-01 52492 2014-01-01 52524 2015-01-01 48869 2016-01-01 56284 2017-01-01 52150 2018-01-01 60974 2019-01-01 65364 2020-01-01 71393 2021-01-01 68305 2022-01-01 71650