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 Newton County, IN Series ID: MHICILBIN18111A052NCEN 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 25167 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30956 1994-01-01 . 1995-01-01 31254 1996-01-01 . 1997-01-01 33755 1998-01-01 35267 1999-01-01 37226 2000-01-01 38602 2001-01-01 38342 2002-01-01 38204 2003-01-01 38366 2004-01-01 41028 2005-01-01 43311 2006-01-01 45222 2007-01-01 42109 2008-01-01 44455 2009-01-01 44257 2010-01-01 43784 2011-01-01 40245 2012-01-01 45689 2013-01-01 50439 2014-01-01 47239 2015-01-01 44199 2016-01-01 46876 2017-01-01 53416 2018-01-01 47883 2019-01-01 55317 2020-01-01 51154 2021-01-01 54453 2022-01-01 58508