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 Lower Bound of Estimate of Median Household Income for Harding County, SD Series ID: MHICILBSD46063A052NCEN 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 19974 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25263 1994-01-01 . 1995-01-01 23006 1996-01-01 . 1997-01-01 23957 1998-01-01 20345 1999-01-01 24747 2000-01-01 26706 2001-01-01 27417 2002-01-01 25889 2003-01-01 28854 2004-01-01 30451 2005-01-01 28326 2006-01-01 28849 2007-01-01 31323 2008-01-01 32829 2009-01-01 35270 2010-01-01 33737 2011-01-01 38431 2012-01-01 43895 2013-01-01 39394 2014-01-01 44193 2015-01-01 51219 2016-01-01 47458 2017-01-01 47334 2018-01-01 49280 2019-01-01 49385 2020-01-01 52751 2021-01-01 52506 2022-01-01 57737