Adjudicated sub-region code 7-digit code (3-digit country code + region ID + stratum ID)
Adjudicated sub-region code 7-digit code (3-digit country code + region ID + stratum ID)
Results
| 2019-05-09 | |
|---|---|
Hong Kong (China) | 0% |
New Zealand | 0% |
Thailand | 0% |
Mexico | 0% |
Bulgaria | 0% |
Greece | 0% |
Jordan | 0% |
Korea | 0% |
Portugal | 0% |
Austria | 0% |
Lithuania | 0% |
United States | 0% |
France | 0% |
Indonesia | 0% |
Bosnia and Herzegovina | 0% |
Colombia | 0% |
Malta | 0% |
Italy | 0% |
Baku (Azerbaijan) | 0% |
Moscow City (RUS) | 0% |
Croatia | 0% |
Panama | 0% |
Singapore | 0% |
Belarus | 0% |
Lebanon | 0% |
Argentina | 0% |
Luxembourg | 0% |
Romania | 0% |
Chile | 0% |
Iceland | 0% |
Sweden | 0% |
Ireland | 0% |
Saudi Arabia | 0% |
Moscow Region (RUS) | 0% |
Japan | 0% |
Turkey | 0% |
Czech Republic | 0% |
Slovak Republic | 0% |
Estonia | 0% |
Russian Federation | 0% |
Kosovo | 0% |
Tatarstan (RUS) | 0% |
Morocco | 0% |
Peru | 0% |
Viet Nam | 0% |
Ukraine | 0% |
Dominican Republic | 0% |
Canada | 0% |
Spain | 0% |
Qatar | 0% |
United Arab Emirates | 0% |
Slovenia | 0% |
B-S-J-Z (China) | 0% |
Poland | 0% |
Great Britain | 0% |
Australia | 0% |
Finland | 0% |
Macao (China) | 0% |
Belgium: Rest of the country | 0% |
Switzerland | 0% |
Brazil | 0% |
Germany | 0% |
Israel | 0% |
Brunei Darussalam | 0% |
Cyprus | 0% |
North Macedonia | 0% |
Albania | 0% |
Denmark | 0% |
Philippines | 0% |
Latvia | 0% |
Netherlands | 0% |
Hungary | 0% |
Chinese Taipei | 0% |
Malaysia | 0% |
Uruguay | 0% |
Georgia | 0% |
Norway | 0% |
Costa Rica | 0% |
Serbia | 0% |
Kazakhstan | 0% |
Republic of Moldova | 0% |
Montenegro | 0% |
Great Britain: Scotland | 0% |
Argentina: Ciudad Autónoma de Buenos | 0% |
Belgium: Flemish community | 0% |
Argentina: Provincia de Buenos Aires | 0% |
Argentina: Tucuman | 0% |
Argentina: Cordoba | 0% |
Not Applicable | 0% |
Invalid | 0% |
Missing | 0% |
0080000 | 3.14% |
0310000 | 3.8% |
0760000 | 8.35% |
1520000 | 3.5% |
1580000 | 4.27% |
2140000 | 2.51% |
2760000 | 6.23% |
3440000 | 3.5% |
4100000 | 3.79% |
4460000 | 2.63% |
4580000 | 4.41% |
5040000 | 3.21% |
5910000 | 3.38% |
6040000 | 4.79% |
6200000 | 5.08% |
7240000 | 20.14% |
7840000 | 11.51% |
8262000 | 2.47% |
8400000 | 3.28% |
Sample size | 107,367 |
Sample size calculated by VoxDash | 107,367 |
Probability sampling | |
Margin of error | ±1% |
Margin of error (calculated by VoxDash) | ±0.3% |
Calculated by VoxDash | |
Data provider | |
General population | |
Respondent qualification age | 15+ |
Data sampling | Random sample |
Geographies | Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal, Zambia |
Coverages | Global |
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Information of PISA 2018 (Teacher questionnaire data) Dataset