Country code 3-character
Country code 3-character
Results
| 2019-05-09 | |
|---|---|
Moldova | 0% |
Thailand | 0% |
Brazil | 0% |
France | 0% |
United States | 0% |
Italy | 0% |
Latvia | 0% |
Albania | 0% |
Serbia | 0% |
Macao | 0% |
Moscow City (RUS) | 0% |
Greece | 0% |
North Macedonia | 0% |
Netherlands | 0% |
Switzerland | 0% |
Montenegro | 0% |
United Arab Emirates | 0% |
Sweden | 0% |
Czech Republic | 0% |
Hong Kong | 0% |
Argentina | 0% |
Bosnia and Herzegovina | 0% |
B-S-J-Z (China) | 0% |
Costa Rica | 0% |
Denmark | 0% |
Slovak Republic | 0% |
Belgium | 0% |
Chile | 0% |
Philippines | 0% |
Colombia | 0% |
Poland | 0% |
Ireland | 0% |
Iceland | 0% |
New Zealand | 0% |
Vietnam | 0% |
Dominican Republic | 0% |
Canada | 0% |
Panama | 0% |
Lebanon | 0% |
Indonesia | 0% |
Finland | 0% |
Japan | 0% |
Brunei Darussalam | 0% |
Hungary | 0% |
Slovenia | 0% |
Georgia | 0% |
Chinese Taipei | 0% |
Singapore | 0% |
Spain | 0% |
Morocco | 0% |
United Kingdom | 0% |
Peru | 0% |
Bulgaria | 0% |
Ukraine | 0% |
Belarus | 0% |
Moscow Region (RUS) | 0% |
Jordan | 0% |
Korea | 0% |
Norway | 0% |
Israel | 0% |
Turkey | 0% |
Australia | 0% |
Russian Federation | 0% |
Malaysia | 0% |
Qatar | 0% |
Malta | 0% |
Portugal | 0% |
Tatarstan (RUS) | 0% |
Estonia | 0% |
Austria | 0% |
Saudi Arabia | 0% |
Germany | 0% |
Romania | 0% |
Lithuania | 0% |
Croatia | 0% |
Kosovo | 0% |
Mexico | 0% |
Luxembourg | 0% |
Cyprus | 0% |
Uruguay | 0% |
Kazakhstan | 0% |
Baku (Azerbaijan) | 0% |
ALB | 1.49% |
QAZ | 0.9% |
ARG | 2.08% |
AUS | 3.48% |
AUT | 1.33% |
BEL | 1.31% |
BIH | 0.97% |
BRA | 2.73% |
BRN | 0.25% |
BGR | 0.9% |
BLR | 1.07% |
CAN | 3.75% |
CHL | 1.16% |
TAP | 0.88% |
COL | 1.13% |
CRI | 0.94% |
HRV | 0.84% |
CZE | 1.52% |
DNK | 1.59% |
DOM | 1.07% |
EST | 1.05% |
FIN | 0.98% |
FRA | 1.15% |
GEO | 1.47% |
DEU | 1.02% |
GRC | 1.1% |
HKG | 0.69% |
HUN | 1.09% |
ISL | 0.65% |
IDN | 1.81% |
IRL | 0.72% |
ISR | 0.79% |
ITA | 2.47% |
KSV | 0.96% |
JPN | 0.84% |
KAZ | 2.81% |
JOR | 1.43% |
KOR | 0.86% |
LBN | 1.43% |
LVA | 1.41% |
LTU | 1.65% |
LUX | 0.2% |
MAC | 0.21% |
MYS | 0.87% |
MLT | 0.23% |
MEX | 1.31% |
MDA | 1.08% |
MNE | 0.28% |
MAR | 0.82% |
NLD | 0.71% |
NZL | 0.88% |
NOR | 1.15% |
PAN | 1.16% |
PER | 1.55% |
PHL | 0.85% |
POL | 1.1% |
PRT | 1.26% |
QAT | 0.86% |
ROU | 0.78% |
RUS | 1.2% |
SAU | 1.07% |
SRB | 0.85% |
SGP | 0.76% |
SVK | 1.72% |
VNM | 0.69% |
SVN | 1.58% |
ESP | 4.97% |
SWE | 1.02% |
CHE | 1.04% |
THA | 1.32% |
ARE | 3.45% |
TUR | 0.85% |
UKR | 1.14% |
MKD | 0.53% |
GBR | 2.15% |
USA | 0.75% |
URY | 0.86% |
QCI | 1.65% |
QMR | 0.28% |
QRT | 1.09% |
Calculated by VoxDash System-calculated | |
Sample size | 21,903 |
Sample size calculated by VoxDash | 21,903 |
Margin of error | ±1% |
Margin of error (calculated by VoxDash) | ±0.66% |
Data provider | |
Probability sampling | |
Data sampling | Random sample |
General population | |
Respondent qualification age | 15+ |
Geographies | Ecuador, Guatemala, Honduras, Cambodia, Paraguay, Senegal, Zambia |
Coverages | Global |
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Information of PISA 2018 (School questionnaire data ) Dataset