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 Noble County, IN Series ID: MHICIUBIN18113A052NCEN 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 31169 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 36454 1994-01-01 . 1995-01-01 41514 1996-01-01 . 1997-01-01 43503 1998-01-01 45055 1999-01-01 44803 2000-01-01 47171 2001-01-01 45724 2002-01-01 45980 2003-01-01 46016 2004-01-01 47138 2005-01-01 51352 2006-01-01 47827 2007-01-01 50421 2008-01-01 50536 2009-01-01 46843 2010-01-01 48637 2011-01-01 50015 2012-01-01 46959 2013-01-01 51886 2014-01-01 55443 2015-01-01 56152 2016-01-01 56889 2017-01-01 56352 2018-01-01 64189 2019-01-01 65863 2020-01-01 68259 2021-01-01 72095 2022-01-01 74178