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 Shoshone County, ID Series ID: MHICIUBID16079A052NCEN 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 24052 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25031 1994-01-01 . 1995-01-01 27463 1996-01-01 . 1997-01-01 30504 1998-01-01 32193 1999-01-01 30423 2000-01-01 32115 2001-01-01 30556 2002-01-01 30180 2003-01-01 31313 2004-01-01 32247 2005-01-01 33634 2006-01-01 35055 2007-01-01 38287 2008-01-01 41164 2009-01-01 38430 2010-01-01 39016 2011-01-01 39480 2012-01-01 40632 2013-01-01 41089 2014-01-01 39987 2015-01-01 40203 2016-01-01 43253 2017-01-01 49038 2018-01-01 39367 2019-01-01 43217 2020-01-01 50469 2021-01-01 52847 2022-01-01 50812