Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Charles Mix County, SD Series ID: MHICILBSD46023A052NCEN 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 9:58 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 16510 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19830 1994-01-01 . 1995-01-01 21236 1996-01-01 . 1997-01-01 23063 1998-01-01 24384 1999-01-01 25291 2000-01-01 25893 2001-01-01 25753 2002-01-01 24876 2003-01-01 26526 2004-01-01 27266 2005-01-01 27117 2006-01-01 28712 2007-01-01 29402 2008-01-01 29146 2009-01-01 29749 2010-01-01 31957 2011-01-01 34124 2012-01-01 34065 2013-01-01 34687 2014-01-01 37566 2015-01-01 37455 2016-01-01 37838 2017-01-01 37836 2018-01-01 43903 2019-01-01 47562 2020-01-01 38573 2021-01-01 45132