Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sully County, SD Series ID: MHICILBSD46119A052NCEN 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 1:53 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 22666 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28088 1994-01-01 . 1995-01-01 27972 1996-01-01 . 1997-01-01 30598 1998-01-01 33038 1999-01-01 31742 2000-01-01 33465 2001-01-01 33259 2002-01-01 31927 2003-01-01 32906 2004-01-01 38117 2005-01-01 35922 2006-01-01 37502 2007-01-01 37643 2008-01-01 41710 2009-01-01 43749 2010-01-01 43507 2011-01-01 49691 2012-01-01 50581 2013-01-01 52050 2014-01-01 53636 2015-01-01 52241 2016-01-01 48835 2017-01-01 49282 2018-01-01 53218 2019-01-01 54393 2020-01-01 50717 2021-01-01 55427 2022-01-01 66916