Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Norton City, VA
Series ID: MHICIUBVA51720A052NCEN
Source: U.S. Census Bureau
Release: Small Area Income and Poverty Estimates
Seasonal Adjustment: Not Seasonally Adjusted
Frequency: Annual
Units: Dollars
Date Range: 1993-01-01 to 2018-01-01
Last Updated: 2019-12-13 11:44 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
1993-01-01 23436
1994-01-01 .
1995-01-01 25685
1996-01-01 .
1997-01-01 26384
1998-01-01 27116
1999-01-01 26637
2000-01-01 27603
2001-01-01 26533
2002-01-01 28499
2003-01-01 29117
2004-01-01 30176
2005-01-01 29941
2006-01-01 31366
2007-01-01 33743
2008-01-01 31274
2009-01-01 34539
2010-01-01 36901
2011-01-01 36009
2012-01-01 36498
2013-01-01 35547
2014-01-01 34973
2015-01-01 34550
2016-01-01 34006
2017-01-01 37158
2018-01-01 38182