Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yankton County, SD Series ID: MHICILBSD46135A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 10:40 AM 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 22316 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25681 1994-01-01 . 1995-01-01 27648 1996-01-01 . 1997-01-01 29996 1998-01-01 31828 1999-01-01 33052 2000-01-01 33870 2001-01-01 33753 2002-01-01 33581 2003-01-01 34933 2004-01-01 35981 2005-01-01 37809 2006-01-01 36995 2007-01-01 39958 2008-01-01 41569 2009-01-01 42105 2010-01-01 41295 2011-01-01 44052 2012-01-01 44228 2013-01-01 43268 2014-01-01 42831 2015-01-01 44675 2016-01-01 50325 2017-01-01 51446 2018-01-01 50885 2019-01-01 55205 2020-01-01 49968 2021-01-01 59591