Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Van Buren County, MI Series ID: MHICIUBMI26159A052NCEN 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 11:33 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 26777 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31371 1994-01-01 . 1995-01-01 35323 1996-01-01 . 1997-01-01 36916 1998-01-01 38617 1999-01-01 40097 2000-01-01 42670 2001-01-01 41326 2002-01-01 41796 2003-01-01 43116 2004-01-01 44014 2005-01-01 43743 2006-01-01 44959 2007-01-01 47601 2008-01-01 46531 2009-01-01 44915 2010-01-01 46020 2011-01-01 43261 2012-01-01 47445 2013-01-01 47648 2014-01-01 49868 2015-01-01 50382 2016-01-01 52087 2017-01-01 55820 2018-01-01 60477