Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gem County, ID Series ID: MHICILBID16045A052NCEN 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 10:00 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 18173 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22463 1994-01-01 . 1995-01-01 25834 1996-01-01 . 1997-01-01 27182 1998-01-01 28683 1999-01-01 31538 2000-01-01 33048 2001-01-01 32571 2002-01-01 32478 2003-01-01 33551 2004-01-01 34761 2005-01-01 33757 2006-01-01 36255 2007-01-01 37857 2008-01-01 39337 2009-01-01 38514 2010-01-01 36387 2011-01-01 36393 2012-01-01 36743 2013-01-01 40847 2014-01-01 37623 2015-01-01 39663 2016-01-01 39549 2017-01-01 42657 2018-01-01 44661 2019-01-01 47908 2020-01-01 55989 2021-01-01 52243