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 Turner County, SD Series ID: MHICIUBSD46125A052NCEN 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 23880 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28922 1994-01-01 . 1995-01-01 30682 1996-01-01 . 1997-01-01 35655 1998-01-01 37407 1999-01-01 38746 2000-01-01 40861 2001-01-01 40422 2002-01-01 39709 2003-01-01 41196 2004-01-01 42769 2005-01-01 42218 2006-01-01 45244 2007-01-01 49421 2008-01-01 52276 2009-01-01 52328 2010-01-01 51869 2011-01-01 54976 2012-01-01 57283 2013-01-01 57174 2014-01-01 60773 2015-01-01 58971 2016-01-01 64499 2017-01-01 61213 2018-01-01 68533 2019-01-01 71100 2020-01-01 67739 2021-01-01 74375 2022-01-01 82960