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
| 2023-05-03 | |
|---|---|
Bulgaria | 0% |
Greece | 0% |
Jordan | 0% |
Paraguay | 0% |
Korea | 0% |
Guatemala | 0% |
Portugal | 0% |
Austria | 0% |
Lithuania | 0% |
United States | 0% |
France | 0% |
Indonesia | 0% |
Uzbekistan | 0% |
Colombia | 0% |
Malta | 0% |
Italy | 0% |
Ukraine | 0% |
Baku (Azerbaijan) | 0% |
Croatia | 0% |
Panama | 0% |
Singapore | 0% |
El Salvador | 0% |
Argentina: Rest of the country | 0% |
Romania | 0% |
Chile | 0% |
Iceland | 0% |
Sweden | 0% |
Ireland | 0% |
Saudi Arabia | 0% |
Japan | 0% |
Türkiye | 0% |
Czech Republic | 0% |
Slovak Republic | 0% |
Estonia | 0% |
Kosovo | 0% |
Morocco | 0% |
Peru | 0% |
Viet Nam | 0% |
Dominican Republic | 0% |
Canada | 0% |
Spain | 0% |
Qatar | 0% |
Hong Kong (China) | 0% |
New Zealand | 0% |
Thailand | 0% |
Mexico | 0% |
United Arab Emirates: Rest of the country | 0% |
Slovenia | 0% |
Palestinian Authority | 0% |
Cambodia | 0% |
Poland | 0% |
Great Britain: Rest of the country | 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% |
Mongolia | 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% |
Jamaica | 0% |
Serbia | 0% |
Kazakhstan | 0% |
Republic of Moldova | 0% |
Montenegro | 0% |
Great Britain: Scotland | 0% |
Argentina: CABA | 0% |
United Arab Emirates: Abu Dhabi | 0% |
Belgium: Flemish community | 0% |
Argentina: Cordoba | 0% |
United Arab Emirates: Dubai | 0% |
Argentina: Mendoza | 0% |
United Arab Emirates: Sharjah | 0% |
Not Applicable | 0% |
Invalid | 0% |
Missing | 0% |
0080000 | 1.27% |
0310000 | 0.92% |
0320000 | 0.93% |
0320200 | 0.38% |
0320300 | 0.43% |
0320100 | 0.37% |
0360000 | 3.44% |
0400000 | 1.4% |
0560100 | 0.8% |
0560000 | 0.52% |
0760000 | 2.76% |
0960000 | 0.25% |
1000000 | 0.93% |
1160000 | 0.85% |
1240000 | 3.99% |
1520000 | 1.06% |
1580000 | 0.84% |
1700000 | 1.21% |
1880000 | 0.92% |
1910000 | 0.83% |
2030000 | 1.99% |
2080000 | 1.6% |
2140000 | 1.17% |
2220000 | 1.34% |
2330000 | 0.91% |
2460000 | 1.11% |
2500000 | 1.3% |
2680000 | 1.23% |
2750000 | 1.26% |
2760000 | 1.19% |
3000000 | 1.06% |
3200000 | 1.34% |
3440000 | 0.75% |
3480000 | 1.21% |
3520000 | 0.62% |
3600000 | 1.9% |
3720000 | 0.79% |
3760000 | 0.89% |
3800000 | 1.59% |
3830000 | 1.06% |
3880000 | 0.68% |
3920000 | 0.84% |
3980000 | 2.64% |
4000000 | 1.2% |
4100000 | 0.86% |
4280000 | 1.04% |
4400000 | 1.35% |
4460000 | 0.21% |
4580000 | 0.92% |
4700000 | 0.21% |
4840000 | 1.29% |
4960000 | 0.9% |
4980000 | 1.23% |
4990000 | 0.29% |
5040000 | 0.82% |
5280000 | 0.71% |
5540000 | 0.78% |
5780000 | 1.23% |
5910000 | 0.99% |
6000000 | 1.3% |
6040000 | 1.55% |
6080000 | 0.87% |
6160000 | 1.11% |
6200000 | 1.04% |
6340000 | 1.06% |
6420000 | 1.21% |
6820000 | 0.89% |
6880000 | 0.85% |
7020000 | 0.76% |
7030000 | 1.33% |
7040000 | 0.82% |
7050000 | 1.6% |
7240000 | 4.47% |
7520000 | 1.21% |
7560000 | 1.2% |
7640000 | 1.29% |
7840100 | 1.34% |
7840300 | 0.85% |
7840200 | 1.16% |
7840000 | 0.55% |
7920000 | 0.91% |
8070000 | 0.51% |
8260000 | 1.54% |
8262000 | 0.54% |
8400000 | 0.71% |
8580000 | 1.03% |
8600000 | 0.93% |
9010000 | 0.76% |
Sample size | 21,629 |
Sample size calculated by VoxDash | 21,629 |
Probability sampling | |
Margin of error | ±1% |
Margin of error (calculated by VoxDash) | ±0.67% |
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 2022 (School questionnaire data ) Dataset