Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Moody County, SD Series ID: MHICILBSD46101A052NCEN 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 2019-01-01 Last Updated: 2020-12-10 6:50 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 21825 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26854 1994-01-01 . 1995-01-01 28032 1996-01-01 . 1997-01-01 32090 1998-01-01 33493 1999-01-01 34001 2000-01-01 35074 2001-01-01 34604 2002-01-01 34685 2003-01-01 35849 2004-01-01 36884 2005-01-01 36415 2006-01-01 42465 2007-01-01 41753 2008-01-01 43004 2009-01-01 42690 2010-01-01 43084 2011-01-01 45506 2012-01-01 47789 2013-01-01 48824 2014-01-01 48245 2015-01-01 49278 2016-01-01 50638 2017-01-01 51555 2018-01-01 51537 2019-01-01 53974