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 Stanley County, SD Series ID: MHICILBSD46117A052NCEN 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 21949 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27714 1994-01-01 . 1995-01-01 29303 1996-01-01 . 1997-01-01 30470 1998-01-01 32710 1999-01-01 36878 2000-01-01 39379 2001-01-01 40063 2002-01-01 38501 2003-01-01 41048 2004-01-01 42909 2005-01-01 41780 2006-01-01 42665 2007-01-01 43979 2008-01-01 47218 2009-01-01 45952 2010-01-01 46145 2011-01-01 48383 2012-01-01 49374 2013-01-01 51405 2014-01-01 63891 2015-01-01 56035 2016-01-01 59035 2017-01-01 59169 2018-01-01 62623 2019-01-01 62629 2020-01-01 67958 2021-01-01 65452 2022-01-01 71662