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 Newton County, IN Series ID: MHICIUBIN18111A052NCEN 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 29693 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35476 1994-01-01 . 1995-01-01 37424 1996-01-01 . 1997-01-01 39978 1998-01-01 41432 1999-01-01 42355 2000-01-01 44855 2001-01-01 43989 2002-01-01 43854 2003-01-01 43636 2004-01-01 46601 2005-01-01 50168 2006-01-01 52405 2007-01-01 48105 2008-01-01 54084 2009-01-01 51272 2010-01-01 52302 2011-01-01 48591 2012-01-01 54569 2013-01-01 56991 2014-01-01 55331 2015-01-01 52433 2016-01-01 55490 2017-01-01 63352 2018-01-01 58237 2019-01-01 67597 2020-01-01 67338 2021-01-01 68219 2022-01-01 75166