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 Yankton County, SD Series ID: MHICIUBSD46135A052NCEN 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 1:51 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 26638 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30060 1994-01-01 . 1995-01-01 33469 1996-01-01 . 1997-01-01 35982 1998-01-01 37778 1999-01-01 37509 2000-01-01 39063 2001-01-01 38511 2002-01-01 38356 2003-01-01 39451 2004-01-01 40642 2005-01-01 42933 2006-01-01 43116 2007-01-01 48363 2008-01-01 49715 2009-01-01 49952 2010-01-01 49299 2011-01-01 52242 2012-01-01 52340 2013-01-01 49930 2014-01-01 51895 2015-01-01 53307 2016-01-01 59005 2017-01-01 60368 2018-01-01 62185 2019-01-01 66531 2020-01-01 64182 2021-01-01 72061 2022-01-01 69715