The findings come from surveys conducted between August 24 –
September 7, 2018 on the Ipsos Global Advisor platform using the
Ipsos Online Panel system with 20,788 adults across 29 countries:
Argentina, Australia, Belgium, Brazil, Canada, Chile, China,
Colombia, France, Germany, Great Britain, Hungary, India, Italy,
Japan, Malaysia, Mexico, Peru, Poland, Romania, Russia, Saudi
Arabia, Serbia, South Africa, South Korea, Spain, Sweden, Turkey,
and the U.S.
All survey respondents are aged 18-64 in Canada and the U.S. and
16-64 in all other countries.
The sample size per country in each survey is approximately
N=1,000 for Australia, Brazil, Canada, China, France, Germany,
Great Britain, India, Italy, Japan, Spain, and the U.S.and
approximately N=500 for Argentina, Belgium, Chile, Colombia,
Hungary, Malaysia, Mexico, Peru, Poland, Romania, Russia, Saudi
Arabia, Serbia, South Africa, South Korea, Sweden, and Turkey.
Weighting has been employed to balance demographics and
ensure that the sample’s composition reflects that of the adult
population according to the most recent country census data.
A survey with an unweighted probability sample of this size would
have an estimated margin of error of +/-3.1 percentage points for
a sample of 1,000 and an estimated margin of error of +/-4.5
percentage points for a 500 sample 19 times out of 20.
In 17 of the countries surveyed ,internet penetration is sufficiently
high to think of the samples as representative of the national
population within the age ranges covered: Argentina, Australia,
Belgium, Canada, France, Germany, Hungary, Italy, Japan, Poland,
Serbia, South Korea, Spain, Sweden, Great Britain, and the U.S.
Brazil, Chile, China, Colombia, India, Malaysia, Mexico, Romania,
Russia, Peru, Saudi Arabia, South Africa, and Turkey have lower
levels of internet penetration. Samples from those countries
should not be considered to be fully nationally representative, but
instead to represent a more affluent, connected population,
representing an important and emerging middle class.
Results may not always sum to 100% or may be 1 point
higher/lower than the actuals due to rounding, multiple responses
or the exclusion of don't knows or not stated responses.
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