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 Noble County, IN Series ID: MHICILBIN18113A052NCEN 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 26681 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31968 1994-01-01 . 1995-01-01 35379 1996-01-01 . 1997-01-01 37379 1998-01-01 39023 1999-01-01 39402 2000-01-01 40656 2001-01-01 39871 2002-01-01 40090 2003-01-01 40589 2004-01-01 41547 2005-01-01 45538 2006-01-01 42566 2007-01-01 43427 2008-01-01 44765 2009-01-01 39857 2010-01-01 41901 2011-01-01 43365 2012-01-01 41425 2013-01-01 45692 2014-01-01 46551 2015-01-01 47600 2016-01-01 47747 2017-01-01 49176 2018-01-01 58493 2019-01-01 56097 2020-01-01 56087 2021-01-01 59863 2022-01-01 64956