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