Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cache County, UT Series ID: MHICIUBUT49005A052NCEN 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 1:09 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 30585 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35008 1994-01-01 . 1995-01-01 37694 1996-01-01 . 1997-01-01 40055 1998-01-01 41860 1999-01-01 42140 2000-01-01 44156 2001-01-01 43213 2002-01-01 43582 2003-01-01 44350 2004-01-01 45664 2005-01-01 43983 2006-01-01 46194 2007-01-01 50044 2008-01-01 53161 2009-01-01 50263 2010-01-01 49300 2011-01-01 50549 2012-01-01 50652 2013-01-01 52464 2014-01-01 53438 2015-01-01 55421 2016-01-01 60881 2017-01-01 58989 2018-01-01 64785 2019-01-01 66858 2020-01-01 71266 2021-01-01 73887 2022-01-01 81157