Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, SD Series ID: MHICILBSD46083A052NCEN 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 2018-01-01 Last Updated: 2019-12-13 11:39 AM 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 25974 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33799 1994-01-01 . 1995-01-01 36986 1996-01-01 . 1997-01-01 42673 1998-01-01 45162 1999-01-01 46600 2000-01-01 48064 2001-01-01 49429 2002-01-01 51995 2003-01-01 55770 2004-01-01 55767 2005-01-01 54766 2006-01-01 59720 2007-01-01 59993 2008-01-01 67232 2009-01-01 67436 2010-01-01 69211 2011-01-01 71432 2012-01-01 71656 2013-01-01 73473 2014-01-01 74152 2015-01-01 74573 2016-01-01 77774 2017-01-01 82984 2018-01-01 76485