Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Silver Bow County, MT Series ID: MHICIUBMT30093A052NCEN 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 1:52 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 24407 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28809 1994-01-01 . 1995-01-01 31945 1996-01-01 . 1997-01-01 33710 1998-01-01 34157 1999-01-01 32644 2000-01-01 33626 2001-01-01 33046 2002-01-01 33397 2003-01-01 34296 2004-01-01 35623 2005-01-01 36092 2006-01-01 37251 2007-01-01 43034 2008-01-01 41538 2009-01-01 43285 2010-01-01 40671 2011-01-01 42507 2012-01-01 43471 2013-01-01 44429 2014-01-01 43867 2015-01-01 45980 2016-01-01 49320 2017-01-01 49155 2018-01-01 51793 2019-01-01 54463 2020-01-01 59213 2021-01-01 57789 2022-01-01 63822