Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wabaunsee County, KS
Series ID: MHICIUBKS20197A052NCEN
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 11:46 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 28329
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33647
1994-01-01 .
1995-01-01 37237
1996-01-01 .
1997-01-01 39835
1998-01-01 41519
1999-01-01 42874
2000-01-01 45566
2001-01-01 45061
2002-01-01 44829
2003-01-01 44842
2004-01-01 47884
2005-01-01 51093
2006-01-01 52711
2007-01-01 53123
2008-01-01 58073
2009-01-01 60164
2010-01-01 55391
2011-01-01 55833
2012-01-01 59408
2013-01-01 59359
2014-01-01 64952
2015-01-01 62990
2016-01-01 67379
2017-01-01 69669
2018-01-01 64993