Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gem County, ID Series ID: MHICIUBID16045A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:58 AM 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 22703 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26917 1994-01-01 . 1995-01-01 31655 1996-01-01 . 1997-01-01 33066 1998-01-01 34568 1999-01-01 35804 2000-01-01 38190 2001-01-01 37200 2002-01-01 37121 2003-01-01 37949 2004-01-01 39367 2005-01-01 39665 2006-01-01 43162 2007-01-01 44927 2008-01-01 47773 2009-01-01 46279 2010-01-01 43833 2011-01-01 44689 2012-01-01 44055 2013-01-01 47499 2014-01-01 45753 2015-01-01 48371 2016-01-01 44505 2017-01-01 52305 2018-01-01 55053 2019-01-01 59558 2020-01-01 65063 2021-01-01 64881