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 Gooding County, ID Series ID: MHICIUBID16047A052NCEN 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 1:53 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 23068 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26329 1994-01-01 . 1995-01-01 29722 1996-01-01 . 1997-01-01 31899 1998-01-01 34790 1999-01-01 34121 2000-01-01 36003 2001-01-01 35472 2002-01-01 35395 2003-01-01 35550 2004-01-01 37125 2005-01-01 38870 2006-01-01 39318 2007-01-01 42838 2008-01-01 45918 2009-01-01 39443 2010-01-01 41078 2011-01-01 43482 2012-01-01 43466 2013-01-01 45172 2014-01-01 49165 2015-01-01 52922 2016-01-01 51646 2017-01-01 50895 2018-01-01 56074 2019-01-01 55345 2020-01-01 65932 2021-01-01 64752 2022-01-01 66385