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 South Dakota Series ID: MHICIUBSD46000A052NCEN 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 1:11 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 23329 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28054 1994-01-01 . 1995-01-01 30927 1996-01-01 31562 1997-01-01 33056 1998-01-01 34947 1999-01-01 36364 2000-01-01 37845 2001-01-01 38667 2002-01-01 38658 2003-01-01 39497 2004-01-01 40777 2005-01-01 40887 2006-01-01 43291 2007-01-01 44353 2008-01-01 47324 2009-01-01 46078 2010-01-01 46866 2011-01-01 49481 2012-01-01 49332 2013-01-01 50205 2014-01-01 52007 2015-01-01 54297 2016-01-01 56104 2017-01-01 58068 2018-01-01 58371 2019-01-01 62170 2020-01-01 62820 2021-01-01 68907 2022-01-01 72530