Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Moody County, SD Series ID: MHICIUBSD46101A052NCEN 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 1:09 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 26331 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31360 1994-01-01 . 1995-01-01 34141 1996-01-01 . 1997-01-01 38291 1998-01-01 39639 1999-01-01 38822 2000-01-01 40766 2001-01-01 39720 2002-01-01 39840 2003-01-01 40717 2004-01-01 41984 2005-01-01 43788 2006-01-01 49332 2007-01-01 49749 2008-01-01 51732 2009-01-01 51399 2010-01-01 51240 2011-01-01 55108 2012-01-01 56101 2013-01-01 58600 2014-01-01 59063 2015-01-01 60180 2016-01-01 60824 2017-01-01 63925 2018-01-01 63247 2019-01-01 68084 2020-01-01 79140 2021-01-01 73888 2022-01-01 78522