Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Deuel County, SD Series ID: MHICIUBSD46039A052NCEN 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 21216 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24951 1994-01-01 . 1995-01-01 28123 1996-01-01 . 1997-01-01 31955 1998-01-01 35127 1999-01-01 35150 2000-01-01 37200 2001-01-01 37022 2002-01-01 37029 2003-01-01 39502 2004-01-01 40424 2005-01-01 42974 2006-01-01 43456 2007-01-01 44657 2008-01-01 49107 2009-01-01 47691 2010-01-01 49154 2011-01-01 49464 2012-01-01 53511 2013-01-01 56304 2014-01-01 56056 2015-01-01 59470 2016-01-01 58691 2017-01-01 60757 2018-01-01 61088 2019-01-01 70326 2020-01-01 66541 2021-01-01 70528 2022-01-01 81588