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 Bonneville County, ID Series ID: MHICIUBID16019A052NCEN 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 33517 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 39263 1994-01-01 . 1995-01-01 42247 1996-01-01 . 1997-01-01 42823 1998-01-01 44036 1999-01-01 43885 2000-01-01 46447 2001-01-01 45899 2002-01-01 46583 2003-01-01 48074 2004-01-01 49627 2005-01-01 48671 2006-01-01 49598 2007-01-01 53994 2008-01-01 55314 2009-01-01 53022 2010-01-01 52660 2011-01-01 53383 2012-01-01 53283 2013-01-01 53032 2014-01-01 55081 2015-01-01 57200 2016-01-01 61904 2017-01-01 59669 2018-01-01 64839 2019-01-01 69169 2020-01-01 71492 2021-01-01 75230 2022-01-01 77535