PISA 2018 Results (Volume II)
Annex B2. Results for regions within countries
Table II.B2.1 [1/4]. Students’ socio-economic status for regions within countries
|
|
Coverage Index 3: Coverage of 15-year-old population |
Students’ socio-economic status measured by the PISA index of economic, social and cultural status (ESCS) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
All students |
Variability in the index |
Bottom quarter |
Second quarter |
Third quarter |
|||||||||||||
|
Mean index |
S.E. |
s |
S.D. |
S.E. |
s |
Mean index |
S.E. |
s |
Mean index |
S.E. |
s |
Mean index |
S.E. |
s |
|||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
0.96 |
0.16 |
(0.02) |
|
0.90 |
(0.01) |
|
-1.06 |
(0.03) |
|
-0.13 |
(0.03) |
|
0.60 |
(0.03) |
|
|
|
French Community |
m |
-0.05 |
(0.03) |
|
0.95 |
(0.02) |
|
-1.32 |
(0.03) |
|
-0.33 |
(0.04) |
|
0.36 |
(0.03) |
|
|
|
German-speaking Community |
m |
0.18 |
(0.04) |
|
0.85 |
(0.03) |
|
-0.97 |
(0.07) |
|
-0.07 |
(0.07) |
|
0.57 |
(0.05) |
|
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
m |
0.46 |
(0.03) |
|
0.81 |
(0.02) |
|
-0.63 |
(0.04) |
|
0.23 |
(0.04) |
|
0.81 |
(0.03) |
|
|
|
British Columbia |
m |
0.43 |
(0.04) |
|
0.80 |
(0.02) |
|
-0.66 |
(0.05) |
|
0.23 |
(0.05) |
|
0.80 |
(0.04) |
|
|
|
Manitoba |
m |
0.17 |
(0.03) |
|
0.87 |
(0.01) |
|
-0.98 |
(0.04) |
|
-0.12 |
(0.04) |
|
0.54 |
(0.03) |
|
|
|
New Brunswick |
m |
0.24 |
(0.03) |
|
0.85 |
(0.02) |
|
-0.90 |
(0.04) |
|
-0.03 |
(0.04) |
|
0.62 |
(0.03) |
|
|
|
Newfoundland and Labrador |
m |
0.38 |
(0.04) |
|
0.85 |
(0.03) |
|
-0.74 |
(0.06) |
|
0.13 |
(0.05) |
|
0.73 |
(0.04) |
|
|
|
Nova Scotia |
m |
0.33 |
(0.03) |
|
0.82 |
(0.03) |
|
-0.77 |
(0.04) |
|
0.13 |
(0.04) |
|
0.68 |
(0.03) |
|
|
|
Ontario |
m |
0.48 |
(0.03) |
|
0.81 |
(0.02) |
|
-0.62 |
(0.04) |
|
0.29 |
(0.04) |
|
0.85 |
(0.03) |
|
|
|
Prince Edward Island |
m |
0.32 |
(0.08) |
|
0.80 |
(0.03) |
|
-0.73 |
(0.06) |
|
0.08 |
(0.10) |
|
0.66 |
(0.10) |
|
|
|
Québec |
m |
0.37 |
(0.02) |
|
0.80 |
(0.01) |
|
-0.71 |
(0.04) |
|
0.17 |
(0.03) |
|
0.73 |
(0.02) |
|
|
|
Saskatchewan |
m |
0.29 |
(0.02) |
|
0.84 |
(0.02) |
|
-0.80 |
(0.04) |
|
0.02 |
(0.03) |
|
0.62 |
(0.02) |
|
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
m |
-0.56 |
(0.07) |
|
1.13 |
(0.04) |
|
-2.01 |
(0.07) |
|
-0.98 |
(0.07) |
|
-0.14 |
(0.10) |
|
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
m |
-0.20 |
(0.02) |
|
0.80 |
(0.01) |
|
-1.17 |
(0.02) |
|
-0.53 |
(0.03) |
|
0.04 |
(0.03) |
|
|
|
Sardegna |
m |
-0.31 |
(0.04) |
|
0.93 |
(0.01) |
|
-1.47 |
(0.03) |
|
-0.70 |
(0.04) |
|
-0.02 |
(0.04) |
|
|
|
Toscana |
m |
-0.21 |
(0.03) |
|
0.89 |
(0.02) |
|
-1.34 |
(0.04) |
|
-0.54 |
(0.04) |
|
0.08 |
(0.04) |
|
|
|
Trento |
m |
-0.16 |
(0.02) |
|
0.83 |
(0.02) |
|
-1.19 |
(0.03) |
|
-0.49 |
(0.03) |
|
0.11 |
(0.04) |
|
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
m |
-0.35 |
(0.06) |
|
1.05 |
(0.02) |
|
-1.77 |
(0.07) |
|
-0.67 |
(0.07) |
|
0.09 |
(0.08) |
|
|
|
Aragon |
m |
-0.02 |
(0.05) |
|
0.99 |
(0.02) |
|
-1.38 |
(0.06) |
|
-0.26 |
(0.05) |
|
0.42 |
(0.06) |
|
|
|
Asturias |
m |
-0.09 |
(0.04) |
|
1.03 |
(0.02) |
|
-1.47 |
(0.06) |
|
-0.41 |
(0.04) |
|
0.35 |
(0.05) |
|
|
|
Balearic Islands |
m |
-0.13 |
(0.05) |
|
1.00 |
(0.03) |
|
-1.48 |
(0.07) |
|
-0.43 |
(0.06) |
|
0.32 |
(0.06) |
|
|
|
Basque Country |
m |
0.08 |
(0.03) |
|
0.90 |
(0.01) |
|
-1.14 |
(0.04) |
|
-0.17 |
(0.04) |
|
0.52 |
(0.03) |
|
|
|
Canary Islands |
m |
-0.39 |
(0.04) |
|
1.02 |
(0.02) |
|
-1.74 |
(0.03) |
|
-0.71 |
(0.04) |
|
0.00 |
(0.06) |
|
|
|
Cantabria |
m |
-0.02 |
(0.03) |
|
0.93 |
(0.01) |
|
-1.23 |
(0.04) |
|
-0.31 |
(0.03) |
|
0.33 |
(0.05) |
|
|
|
Castile and Leon |
m |
-0.05 |
(0.05) |
|
1.01 |
(0.02) |
|
-1.44 |
(0.05) |
|
-0.32 |
(0.05) |
|
0.39 |
(0.06) |
|
|
|
Castile-La Mancha |
m |
-0.25 |
(0.05) |
|
1.07 |
(0.02) |
|
-1.67 |
(0.04) |
|
-0.61 |
(0.06) |
|
0.18 |
(0.07) |
|
|
|
Catalonia |
m |
0.09 |
(0.04) |
|
0.97 |
(0.02) |
|
-1.26 |
(0.06) |
|
-0.15 |
(0.06) |
|
0.56 |
(0.04) |
|
|
|
Ceuta |
m |
-0.60 |
(0.05) |
|
1.11 |
(0.03) |
|
-2.11 |
(0.09) |
|
-0.88 |
(0.09) |
|
-0.15 |
(0.06) |
|
|
|
Comunidad Valenciana |
m |
-0.20 |
(0.04) |
|
1.04 |
(0.02) |
|
-1.60 |
(0.04) |
|
-0.52 |
(0.05) |
|
0.26 |
(0.06) |
|
|
|
Extremadura |
m |
-0.36 |
(0.06) |
|
1.04 |
(0.02) |
|
-1.74 |
(0.06) |
|
-0.72 |
(0.07) |
|
0.05 |
(0.06) |
|
|
|
Galicia |
m |
-0.08 |
(0.03) |
|
1.00 |
(0.03) |
|
-1.40 |
(0.05) |
|
-0.37 |
(0.03) |
|
0.33 |
(0.04) |
|
|
|
La Rioja |
m |
-0.15 |
(0.02) |
|
1.01 |
(0.02) |
|
-1.50 |
(0.04) |
|
-0.43 |
(0.03) |
|
0.28 |
(0.03) |
|
|
|
Madrid |
m |
0.15 |
(0.04) |
|
1.03 |
(0.02) |
|
-1.26 |
(0.05) |
|
-0.12 |
(0.05) |
|
0.65 |
(0.04) |
|
|
|
Melilla |
m |
-0.61 |
(0.07) |
|
1.26 |
(0.05) |
|
-2.27 |
(0.10) |
|
-1.10 |
(0.10) |
|
-0.08 |
(0.10) |
|
|
|
Murcia |
m |
-0.41 |
(0.06) |
|
1.08 |
(0.03) |
|
-1.85 |
(0.07) |
|
-0.74 |
(0.07) |
|
0.02 |
(0.08) |
|
|
|
Navarre |
m |
0.01 |
(0.03) |
|
1.01 |
(0.03) |
|
-1.38 |
(0.06) |
|
-0.25 |
(0.04) |
|
0.48 |
(0.04) |
|
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
m |
0.28 |
(0.03) |
|
0.92 |
(0.01) |
|
-0.95 |
(0.04) |
|
0.01 |
(0.04) |
|
0.69 |
(0.03) |
|
|
|
Northern Ireland |
m |
0.20 |
(0.03) |
|
0.87 |
(0.01) |
|
-0.94 |
(0.03) |
|
-0.11 |
(0.04) |
|
0.57 |
(0.04) |
|
|
|
Scotland* |
0.85 |
0.22 |
(0.03) |
|
0.87 |
(0.01) |
|
-0.94 |
(0.02) |
|
-0.05 |
(0.04) |
|
0.61 |
(0.04) |
|
|
|
Wales |
m |
0.23 |
(0.03) |
|
0.85 |
(0.01) |
|
-0.90 |
(0.03) |
|
-0.04 |
(0.03) |
|
0.59 |
(0.03) |
|
|
* PISA adjudicated region.
Notes: See Table II.B1.2.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.1 [2/4]. Students’ socio-economic status for regions within countries
|
|
Coverage Index 3: Coverage of 15-year-old population |
Students’ socio-economic status measured by the PISA index of economic, social and cultural status (ESCS) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
All students |
Variability in the index |
Bottom quarter |
Second quarter |
Third quarter |
|||||||||||||
|
Mean index |
S.E. |
s |
S.D. |
S.E. |
s |
Mean index |
S.E. |
s |
Mean index |
S.E. |
s |
Mean index |
S.E. |
s |
|||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
0.94 |
-0.22 |
(0.05) |
|
1.08 |
(0.02) |
|
-1.70 |
(0.07) |
|
-0.53 |
(0.08) |
|
0.32 |
(0.06) |
|
|
|
Cordoba* |
0.83 |
-0.83 |
(0.05) |
|
1.12 |
(0.03) |
|
-2.31 |
(0.06) |
|
-1.22 |
(0.06) |
|
-0.36 |
(0.06) |
|
|
|
PBA* |
0.81 |
-0.91 |
(0.06) |
|
1.11 |
(0.02) |
|
-2.33 |
(0.05) |
|
-1.32 |
(0.07) |
|
-0.53 |
(0.08) |
|
|
|
Tucuman* |
0.75 |
-1.11 |
(0.06) |
|
1.25 |
(0.03) |
|
-2.70 |
(0.06) |
|
-1.62 |
(0.07) |
|
-0.66 |
(0.08) |
|
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
m |
-1.20 |
(0.09) |
|
1.21 |
(0.03) |
|
-2.79 |
(0.10) |
|
-1.61 |
(0.11) |
|
-0.75 |
(0.13) |
|
|
|
Northeast |
m |
-1.50 |
(0.06) |
|
1.31 |
(0.03) |
|
-3.19 |
(0.06) |
|
-1.97 |
(0.06) |
|
-1.04 |
(0.06) |
|
|
|
South |
m |
-0.95 |
(0.07) |
|
1.23 |
(0.03) |
|
-2.56 |
(0.07) |
|
-1.38 |
(0.08) |
|
-0.51 |
(0.10) |
|
|
|
Southeast |
m |
-0.93 |
(0.04) |
|
1.13 |
(0.02) |
|
-2.41 |
(0.05) |
|
-1.30 |
(0.04) |
|
-0.50 |
(0.04) |
|
|
|
Middle-West |
m |
-0.79 |
(0.08) |
|
1.10 |
(0.04) |
|
-2.21 |
(0.08) |
|
-1.18 |
(0.08) |
|
-0.43 |
(0.10) |
|
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
m |
-1.29 |
(0.07) |
|
1.09 |
(0.04) |
|
-2.63 |
(0.07) |
|
-1.73 |
(0.07) |
|
-1.00 |
(0.09) |
|
|
|
DKI Jakarta |
m |
-1.04 |
(0.10) |
|
1.05 |
(0.05) |
|
-2.32 |
(0.05) |
|
-1.45 |
(0.08) |
|
-0.77 |
(0.13) |
|
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
m |
-0.55 |
(0.03) |
|
0.80 |
(0.02) |
|
-1.53 |
(0.03) |
|
-0.89 |
(0.04) |
|
-0.29 |
(0.04) |
|
|
|
Aktobe region |
m |
-0.49 |
(0.06) |
|
0.83 |
(0.02) |
|
-1.56 |
(0.05) |
|
-0.81 |
(0.07) |
|
-0.16 |
(0.07) |
|
|
|
Almaty |
m |
-0.14 |
(0.06) |
|
0.83 |
(0.02) |
|
-1.25 |
(0.04) |
|
-0.42 |
(0.08) |
|
0.25 |
(0.06) |
|
|
|
Almaty region |
m |
-0.53 |
(0.05) |
|
0.84 |
(0.02) |
|
-1.56 |
(0.06) |
|
-0.88 |
(0.05) |
|
-0.27 |
(0.06) |
|
|
|
Astana |
m |
-0.09 |
(0.06) |
|
0.82 |
(0.02) |
|
-1.19 |
(0.06) |
|
-0.34 |
(0.09) |
|
0.29 |
(0.07) |
|
|
|
Atyrau region |
m |
-0.53 |
(0.05) |
|
0.83 |
(0.02) |
|
-1.60 |
(0.05) |
|
-0.84 |
(0.06) |
|
-0.22 |
(0.06) |
|
|
|
East-Kazakhstan region |
m |
-0.53 |
(0.07) |
|
0.83 |
(0.03) |
|
-1.59 |
(0.07) |
|
-0.86 |
(0.08) |
|
-0.24 |
(0.08) |
|
|
|
Karagandy region |
m |
-0.37 |
(0.05) |
|
0.80 |
(0.02) |
|
-1.40 |
(0.06) |
|
-0.67 |
(0.07) |
|
-0.07 |
(0.06) |
|
|
|
Kostanay region |
m |
-0.52 |
(0.04) |
|
0.79 |
(0.02) |
|
-1.51 |
(0.05) |
|
-0.85 |
(0.06) |
|
-0.22 |
(0.06) |
|
|
|
Kyzyl-Orda region |
m |
-0.49 |
(0.06) |
|
0.90 |
(0.02) |
|
-1.65 |
(0.05) |
|
-0.85 |
(0.07) |
|
-0.13 |
(0.08) |
|
|
|
Mangistau region |
m |
-0.40 |
(0.07) |
|
0.83 |
(0.03) |
|
-1.47 |
(0.07) |
|
-0.71 |
(0.07) |
|
-0.07 |
(0.09) |
|
|
|
North-Kazakhstan region |
m |
-0.54 |
(0.04) |
|
0.80 |
(0.02) |
|
-1.52 |
(0.03) |
|
-0.89 |
(0.05) |
|
-0.25 |
(0.06) |
|
|
|
Pavlodar region |
m |
-0.45 |
(0.06) |
|
0.79 |
(0.02) |
|
-1.46 |
(0.04) |
|
-0.76 |
(0.06) |
|
-0.17 |
(0.08) |
|
|
|
South-Kazakhstan region |
m |
-0.44 |
(0.06) |
|
0.86 |
(0.02) |
|
-1.57 |
(0.05) |
|
-0.76 |
(0.07) |
|
-0.06 |
(0.08) |
|
|
|
West-Kazakhstan region |
m |
-0.47 |
(0.04) |
|
0.83 |
(0.02) |
|
-1.54 |
(0.04) |
|
-0.80 |
(0.05) |
|
-0.17 |
(0.06) |
|
|
|
Zhambyl region |
m |
-0.68 |
(0.07) |
|
0.85 |
(0.02) |
|
-1.74 |
(0.06) |
|
-1.03 |
(0.07) |
|
-0.40 |
(0.09) |
|
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
m |
0.34 |
(0.02) |
|
0.69 |
(0.02) |
|
-0.58 |
(0.04) |
|
0.18 |
(0.03) |
|
0.62 |
(0.02) |
|
|
|
Republic of Tatarstan* |
m |
0.13 |
(0.02) |
|
0.72 |
(0.01) |
|
-0.81 |
(0.02) |
|
-0.10 |
(0.02) |
|
0.45 |
(0.02) |
|
|
* PISA adjudicated region.
Notes: See Table II.B1.2.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.1 [3/4]. Students’ socio-economic status for regions within countries
|
|
Students’ socio-economic status measured by the PISA index of economic, social and cultural status (ESCS) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Fourth quarter |
Top - Bottom quarter |
5th percentile |
95th percentile |
95th - 5th percentile |
||||||||||||
|
Mean index |
S.E. |
s |
Dif. |
S.E. |
s |
Value |
S.E. |
s |
Value |
S.E. |
s |
Dif. |
S.E. |
s |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
1.23 |
(0.02) |
|
2.29 |
(0.03) |
|
-1.36 |
(0.04) |
|
1.42 |
(0.01) |
|
2.77 |
(0.04) |
. |
|
|
French Community |
1.09 |
(0.03) |
|
2.40 |
(0.04) |
|
-1.63 |
(0.04) |
|
1.32 |
(0.02) |
|
2.95 |
(0.04) |
. |
|
|
German-speaking Community |
1.18 |
(0.04) |
|
2.15 |
(0.08) |
|
-1.24 |
(0.12) |
|
1.33 |
(0.10) |
|
2.56 |
(0.16) |
. |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
1.42 |
(0.03) |
|
2.05 |
(0.04) |
|
-0.94 |
(0.05) |
|
1.62 |
(0.04) |
|
2.57 |
(0.06) |
. |
|
|
British Columbia |
1.35 |
(0.03) |
|
2.02 |
(0.04) |
|
-0.99 |
(0.05) |
|
1.56 |
(0.03) |
|
2.55 |
(0.05) |
. |
|
|
Manitoba |
1.25 |
(0.03) |
|
2.23 |
(0.04) |
|
-1.30 |
(0.06) |
|
1.51 |
(0.05) |
|
2.81 |
(0.07) |
. |
|
|
New Brunswick |
1.26 |
(0.03) |
|
2.16 |
(0.05) |
|
-1.21 |
(0.03) |
|
1.46 |
(0.04) |
|
2.67 |
(0.05) |
. |
|
|
Newfoundland and Labrador |
1.38 |
(0.04) |
|
2.12 |
(0.05) |
|
-1.02 |
(0.07) |
|
1.60 |
(0.05) |
|
2.62 |
(0.08) |
. |
|
|
Nova Scotia |
1.27 |
(0.03) |
|
2.04 |
(0.04) |
|
-1.06 |
(0.03) |
|
1.49 |
(0.04) |
|
2.54 |
(0.04) |
. |
|
|
Ontario |
1.40 |
(0.02) |
|
2.02 |
(0.04) |
|
-0.94 |
(0.03) |
|
1.57 |
(0.03) |
|
2.51 |
(0.04) |
. |
|
|
Prince Edward Island |
1.27 |
(0.08) |
|
2.00 |
(0.06) |
|
-0.96 |
(0.06) |
|
1.47 |
(0.08) |
|
2.43 |
(0.12) |
. |
|
|
Québec |
1.30 |
(0.02) |
|
2.01 |
(0.03) |
|
-1.05 |
(0.06) |
|
1.51 |
(0.03) |
|
2.56 |
(0.06) |
. |
|
|
Saskatchewan |
1.33 |
(0.03) |
|
2.13 |
(0.04) |
|
-1.10 |
(0.05) |
|
1.58 |
(0.03) |
|
2.68 |
(0.05) |
. |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
0.91 |
(0.09) |
|
2.92 |
(0.10) |
|
-2.42 |
(0.06) |
|
1.20 |
(0.09) |
|
3.62 |
(0.10) |
. |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
0.87 |
(0.04) |
|
2.04 |
(0.04) |
|
-1.45 |
(0.06) |
|
1.14 |
(0.03) |
|
2.59 |
(0.06) |
. |
|
|
Sardegna |
0.95 |
(0.04) |
|
2.42 |
(0.04) |
|
-1.72 |
(0.03) |
|
1.28 |
(0.04) |
|
3.00 |
(0.04) |
. |
|
|
Toscana |
0.96 |
(0.04) |
|
2.30 |
(0.05) |
|
-1.59 |
(0.05) |
|
1.20 |
(0.03) |
|
2.79 |
(0.05) |
. |
|
|
Trento |
0.94 |
(0.03) |
|
2.13 |
(0.04) |
|
-1.45 |
(0.08) |
|
1.18 |
(0.04) |
|
2.63 |
(0.08) |
. |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
0.95 |
(0.05) |
|
2.72 |
(0.04) |
|
-2.09 |
(0.07) |
|
1.25 |
(0.05) |
|
3.34 |
(0.06) |
. |
|
|
Aragon |
1.14 |
(0.04) |
|
2.52 |
(0.06) |
|
-1.79 |
(0.06) |
|
1.33 |
(0.03) |
|
3.13 |
(0.07) |
. |
|
|
Asturias |
1.17 |
(0.04) |
|
2.64 |
(0.06) |
|
-1.88 |
(0.06) |
|
1.41 |
(0.04) |
|
3.29 |
(0.07) |
. |
|
|
Balearic Islands |
1.07 |
(0.05) |
|
2.55 |
(0.07) |
|
-1.82 |
(0.07) |
|
1.35 |
(0.04) |
|
3.17 |
(0.07) |
. |
|
|
Basque Country |
1.12 |
(0.02) |
|
2.26 |
(0.04) |
|
-1.52 |
(0.04) |
|
1.30 |
(0.03) |
|
2.82 |
(0.04) |
. |
|
|
Canary Islands |
0.90 |
(0.06) |
|
2.65 |
(0.06) |
|
-2.07 |
(0.03) |
|
1.17 |
(0.06) |
|
3.24 |
(0.07) |
. |
|
|
Cantabria |
1.15 |
(0.03) |
|
2.38 |
(0.04) |
|
-1.64 |
(0.03) |
|
1.37 |
(0.03) |
|
3.01 |
(0.04) |
. |
|
|
Castile and Leon |
1.15 |
(0.04) |
|
2.58 |
(0.04) |
|
-1.87 |
(0.04) |
|
1.39 |
(0.04) |
|
3.26 |
(0.05) |
. |
|
|
Castile-La Mancha |
1.09 |
(0.04) |
|
2.76 |
(0.04) |
|
-2.00 |
(0.03) |
|
1.35 |
(0.03) |
|
3.35 |
(0.04) |
. |
|
|
Catalonia |
1.20 |
(0.03) |
|
2.46 |
(0.06) |
|
-1.67 |
(0.06) |
|
1.43 |
(0.04) |
|
3.10 |
(0.07) |
. |
|
|
Ceuta |
0.75 |
(0.06) |
|
2.86 |
(0.09) |
|
-2.54 |
(0.12) |
|
1.04 |
(0.05) |
|
3.59 |
(0.13) |
. |
|
|
Comunidad Valenciana |
1.07 |
(0.05) |
|
2.67 |
(0.05) |
|
-1.97 |
(0.04) |
|
1.36 |
(0.04) |
|
3.33 |
(0.05) |
. |
|
|
Extremadura |
0.96 |
(0.05) |
|
2.70 |
(0.05) |
|
-2.00 |
(0.06) |
|
1.22 |
(0.06) |
|
3.22 |
(0.07) |
. |
|
|
Galicia |
1.13 |
(0.04) |
|
2.53 |
(0.06) |
|
-1.81 |
(0.06) |
|
1.38 |
(0.05) |
|
3.19 |
(0.08) |
. |
|
|
La Rioja |
1.06 |
(0.02) |
|
2.57 |
(0.05) |
|
-1.89 |
(0.04) |
|
1.31 |
(0.03) |
|
3.21 |
(0.05) |
. |
|
|
Madrid |
1.33 |
(0.02) |
|
2.59 |
(0.05) |
|
-1.70 |
(0.07) |
|
1.55 |
(0.02) |
|
3.24 |
(0.07) |
. |
|
|
Melilla |
1.00 |
(0.07) |
|
3.27 |
(0.12) |
|
-2.74 |
(0.07) |
|
1.28 |
(0.09) |
|
4.02 |
(0.12) |
. |
|
|
Murcia |
0.95 |
(0.07) |
|
2.80 |
(0.07) |
|
-2.22 |
(0.08) |
|
1.24 |
(0.03) |
|
3.47 |
(0.08) |
. |
|
|
Navarre |
1.16 |
(0.02) |
|
2.54 |
(0.06) |
|
-1.85 |
(0.11) |
|
1.37 |
(0.03) |
|
3.22 |
(0.11) |
. |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
1.38 |
(0.02) |
|
2.33 |
(0.03) |
|
-1.28 |
(0.04) |
|
1.61 |
(0.02) |
|
2.89 |
(0.04) |
. |
|
|
Northern Ireland |
1.29 |
(0.03) |
|
2.23 |
(0.03) |
|
-1.20 |
(0.03) |
|
1.54 |
(0.03) |
|
2.74 |
(0.04) |
. |
|
|
Scotland* |
1.27 |
(0.03) |
|
2.21 |
(0.03) |
|
-1.25 |
(0.03) |
|
1.47 |
(0.03) |
|
2.72 |
(0.04) |
. |
|
|
Wales |
1.28 |
(0.03) |
|
2.18 |
(0.03) |
|
-1.18 |
(0.03) |
|
1.50 |
(0.04) |
|
2.68 |
(0.05) |
. |
|
* PISA adjudicated region.
Notes: See Table II.B1.2.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.1 [4/4]. Students’ socio-economic status for regions within countries
|
|
Students’ socio-economic status measured by the PISA index of economic, social and cultural status (ESCS) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Fourth quarter |
Top - Bottom quarter |
5th percentile |
95th percentile |
95th - 5th percentile |
||||||||||||
|
Mean index |
S.E. |
s |
Dif. |
S.E. |
s |
Value |
S.E. |
s |
Value |
S.E. |
s |
Dif. |
S.E. |
s |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
1.04 |
(0.03) |
|
2.73 |
(0.06) |
|
-2.17 |
(0.06) |
|
1.26 |
(0.03) |
|
3.43 |
(0.06) |
. |
|
|
Cordoba* |
0.57 |
(0.05) |
|
2.88 |
(0.07) |
|
-2.69 |
(0.05) |
|
0.87 |
(0.04) |
|
3.56 |
(0.06) |
. |
|
|
PBA* |
0.54 |
(0.06) |
|
2.87 |
(0.05) |
|
-2.70 |
(0.06) |
|
0.90 |
(0.04) |
|
3.59 |
(0.07) |
. |
|
|
Tucuman* |
0.55 |
(0.08) |
|
3.25 |
(0.08) |
|
-3.03 |
(0.05) |
|
0.91 |
(0.07) |
|
3.94 |
(0.09) |
. |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
0.34 |
(0.05) |
|
3.13 |
(0.08) |
|
-3.26 |
(0.09) |
|
0.73 |
(0.08) |
|
3.99 |
(0.11) |
. |
|
|
Northeast |
0.19 |
(0.08) |
|
3.38 |
(0.08) |
|
-3.61 |
(0.05) |
|
0.68 |
(0.06) |
|
4.29 |
(0.07) |
. |
|
|
South |
0.65 |
(0.08) |
|
3.21 |
(0.08) |
|
-2.99 |
(0.08) |
|
1.03 |
(0.12) |
|
4.02 |
(0.14) |
. |
|
|
Southeast |
0.49 |
(0.05) |
|
2.90 |
(0.06) |
|
-2.85 |
(0.08) |
|
0.84 |
(0.04) |
|
3.68 |
(0.08) |
. |
|
|
Middle-West |
0.64 |
(0.10) |
|
2.85 |
(0.10) |
|
-2.60 |
(0.08) |
|
0.93 |
(0.10) |
|
3.53 |
(0.10) |
. |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
0.19 |
(0.10) |
|
2.82 |
(0.10) |
|
-3.02 |
(0.05) |
|
0.64 |
(0.10) |
|
3.65 |
(0.09) |
. |
|
|
DKI Jakarta |
0.39 |
(0.16) |
|
2.71 |
(0.13) |
|
-2.65 |
(0.06) |
|
0.78 |
(0.16) |
|
3.43 |
(0.16) |
. |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
0.52 |
(0.04) |
|
2.05 |
(0.04) |
|
-1.73 |
(0.05) |
|
0.77 |
(0.03) |
|
2.50 |
(0.05) |
. |
|
|
Aktobe region |
0.59 |
(0.04) |
|
2.15 |
(0.05) |
|
-1.83 |
(0.06) |
|
0.82 |
(0.03) |
|
2.65 |
(0.06) |
. |
|
|
Almaty |
0.88 |
(0.05) |
|
2.13 |
(0.04) |
|
-1.51 |
(0.05) |
|
1.09 |
(0.07) |
|
2.60 |
(0.06) |
. |
|
|
Almaty region |
0.57 |
(0.04) |
|
2.13 |
(0.05) |
|
-1.78 |
(0.11) |
|
0.81 |
(0.05) |
|
2.59 |
(0.10) |
. |
|
|
Astana |
0.88 |
(0.03) |
|
2.07 |
(0.05) |
|
-1.46 |
(0.06) |
|
1.06 |
(0.04) |
|
2.52 |
(0.06) |
. |
|
|
Atyrau region |
0.54 |
(0.04) |
|
2.13 |
(0.05) |
|
-1.85 |
(0.06) |
|
0.80 |
(0.04) |
|
2.64 |
(0.07) |
. |
|
|
East-Kazakhstan region |
0.55 |
(0.07) |
|
2.14 |
(0.07) |
|
-1.86 |
(0.08) |
|
0.82 |
(0.09) |
|
2.68 |
(0.10) |
. |
|
|
Karagandy region |
0.67 |
(0.05) |
|
2.06 |
(0.05) |
|
-1.62 |
(0.06) |
|
0.89 |
(0.05) |
|
2.51 |
(0.06) |
. |
|
|
Kostanay region |
0.50 |
(0.04) |
|
2.01 |
(0.05) |
|
-1.75 |
(0.08) |
|
0.72 |
(0.04) |
|
2.47 |
(0.09) |
. |
|
|
Kyzyl-Orda region |
0.67 |
(0.05) |
|
2.32 |
(0.04) |
|
-1.89 |
(0.07) |
|
0.92 |
(0.03) |
|
2.81 |
(0.07) |
. |
|
|
Mangistau region |
0.67 |
(0.07) |
|
2.14 |
(0.07) |
|
-1.72 |
(0.09) |
|
0.89 |
(0.08) |
|
2.60 |
(0.09) |
. |
|
|
North-Kazakhstan region |
0.52 |
(0.05) |
|
2.04 |
(0.05) |
|
-1.71 |
(0.06) |
|
0.76 |
(0.06) |
|
2.47 |
(0.08) |
. |
|
|
Pavlodar region |
0.57 |
(0.07) |
|
2.03 |
(0.05) |
|
-1.68 |
(0.05) |
|
0.81 |
(0.06) |
|
2.49 |
(0.06) |
. |
|
|
South-Kazakhstan region |
0.65 |
(0.05) |
|
2.23 |
(0.05) |
|
-1.83 |
(0.08) |
|
0.84 |
(0.04) |
|
2.67 |
(0.08) |
. |
|
|
West-Kazakhstan region |
0.61 |
(0.05) |
|
2.15 |
(0.05) |
|
-1.78 |
(0.03) |
|
0.85 |
(0.08) |
|
2.63 |
(0.08) |
. |
|
|
Zhambyl region |
0.44 |
(0.07) |
|
2.18 |
(0.06) |
|
-1.96 |
(0.05) |
|
0.69 |
(0.05) |
|
2.65 |
(0.06) |
. |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
1.13 |
(0.03) |
|
1.71 |
(0.04) |
|
-0.81 |
(0.04) |
|
1.25 |
(0.04) |
|
2.06 |
(0.06) |
. |
|
|
Republic of Tatarstan* |
1.00 |
(0.02) |
|
1.81 |
(0.02) |
|
-1.01 |
(0.02) |
|
1.15 |
(0.02) |
|
2.16 |
(0.02) |
. |
|
* PISA adjudicated region.
Notes: See Table II.B1.2.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.4 [1/6]. Socio-economic status and reading performance
|
|
Reading performance |
Socio-economic gradients |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Score, unadjusted |
Score, adjusted by ESCS1 |
Strength: Percentage of variance in reading performance explained by ESCS (R2) |
Slope: Score-point difference in reading performance associated with a one-unit increase in ESCS |
||||||||||
|
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
% |
S.E. |
s |
Score dif. |
S.E. |
s |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
502 |
(3.4) |
|
496 |
(3.0) |
|
17.3 |
(1.1) |
|
48 |
(1.9) |
|
|
|
French Community |
481 |
(3.0) |
|
485 |
(2.7) |
|
16.2 |
(1.6) |
|
42 |
(2.3) |
|
|
|
German-speaking Community |
483 |
(4.6) |
|
480 |
(5.0) |
|
5.1 |
(3.0) |
|
24 |
(7.0) |
|
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
532 |
(4.3) |
|
516 |
(4.3) |
|
9.2 |
(1.9) |
|
38 |
(4.0) |
|
|
|
British Columbia |
519 |
(4.5) |
|
508 |
(4.0) |
|
5.7 |
(1.5) |
|
31 |
(4.3) |
|
|
|
Manitoba |
494 |
(3.4) |
|
492 |
(3.3) |
|
4.6 |
(1.2) |
|
24 |
(3.2) |
|
|
|
New Brunswick |
489 |
(3.5) |
|
483 |
(3.4) |
|
5.6 |
(1.7) |
|
29 |
(4.4) |
|
|
|
Newfoundland and Labrador |
512 |
(4.3) |
|
510 |
(4.7) |
|
5.1 |
(1.8) |
|
26 |
(4.4) |
|
|
|
Nova Scotia |
516 |
(3.9) |
|
508 |
(4.2) |
|
6.1 |
(1.4) |
|
31 |
(4.2) |
|
|
|
Ontario |
524 |
(3.5) |
|
514 |
(3.5) |
|
4.8 |
(0.9) |
|
27 |
(2.9) |
|
|
|
Prince Edward Island |
503 |
(8.3) |
|
492 |
(7.9) |
|
7.9 |
(3.1) |
|
36 |
(9.6) |
|
|
|
Québec |
519 |
(3.5) |
|
507 |
(3.0) |
|
9.4 |
(1.4) |
|
36 |
(2.9) |
|
|
|
Saskatchewan |
499 |
(3.0) |
|
492 |
(3.2) |
|
8.7 |
(1.5) |
|
33 |
(3.1) |
|
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
455 |
(5.4) |
|
475 |
(4.6) |
|
19.3 |
(3.8) |
|
35 |
(3.3) |
|
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
495 |
(3.3) |
|
502 |
(3.5) |
|
7.5 |
(1.5) |
|
31 |
(3.2) |
|
|
|
Sardegna |
462 |
(4.1) |
|
469 |
(4.3) |
|
4.6 |
(1.3) |
|
21 |
(3.0) |
|
|
|
Toscana |
482 |
(4.0) |
|
489 |
(3.7) |
|
7.1 |
(1.3) |
|
28 |
(2.9) |
|
|
|
Trento |
496 |
(2.3) |
|
502 |
(2.6) |
|
9.1 |
(1.6) |
|
34 |
(3.1) |
|
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Aragon |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Asturias |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Balearic Islands |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Basque Country |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Canary Islands |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Cantabria |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile and Leon |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile-La Mancha |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Catalonia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Ceuta |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Comunidad Valenciana |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Extremadura |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Galicia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
La Rioja |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Madrid |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Melilla |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Murcia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Navarre |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
505 |
(3.0) |
|
499 |
(2.5) |
|
9.8 |
(1.2) |
|
34 |
(2.1) |
|
|
|
Northern Ireland |
501 |
(4.0) |
|
498 |
(3.7) |
|
6.9 |
(1.1) |
|
29 |
(2.6) |
|
|
|
Scotland* |
504 |
(3.0) |
|
498 |
(2.6) |
|
8.3 |
(1.4) |
|
32 |
(2.8) |
|
|
|
Wales |
483 |
(4.0) |
|
483 |
(3.7) |
|
4.0 |
(0.8) |
|
22 |
(2.4) |
|
|
* PISA adjudicated region.
1. ESCS refers to the PISA index of economic, social and cultural status.
Notes: See Table II.B1.2.3 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.4 [2/6]. Socio-economic status and reading performance
|
|
Reading performance |
Socio-economic gradients |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Score, unadjusted |
Score, adjusted by ESCS1 |
Strength: Percentage of variance in reading performance explained by ESCS (R2) |
Slope: Score-point difference in reading performance associated with a one-unit increase in ESCS |
||||||||||
|
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
% |
S.E. |
s |
Score dif. |
S.E. |
s |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
454 |
(5.4) |
|
462 |
(4.5) |
|
14.7 |
(2.7) |
|
33 |
(3.1) |
|
|
|
Cordoba* |
427 |
(4.5) |
|
455 |
(4.7) |
|
16.7 |
(2.5) |
|
33 |
(2.8) |
|
|
|
PBA* |
413 |
(5.8) |
|
445 |
(5.9) |
|
15.5 |
(3.0) |
|
34 |
(3.5) |
|
|
|
Tucuman* |
389 |
(5.0) |
|
427 |
(5.0) |
|
19.8 |
(2.8) |
|
34 |
(2.5) |
|
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
392 |
(6.9) |
|
424 |
(9.1) |
|
11.8 |
(3.5) |
|
26 |
(4.0) |
|
|
|
Northeast |
389 |
(4.2) |
|
430 |
(6.5) |
|
12.2 |
(2.6) |
|
26 |
(3.0) |
|
|
|
South |
432 |
(6.3) |
|
465 |
(5.1) |
|
17.8 |
(3.0) |
|
33 |
(2.9) |
|
|
|
Southeast |
424 |
(3.0) |
|
452 |
(3.8) |
|
11.1 |
(1.6) |
|
29 |
(2.1) |
|
|
|
Middle-West |
425 |
(9.1) |
|
454 |
(11.0) |
|
13.5 |
(4.6) |
|
35 |
(7.1) |
|
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
414 |
(5.8) |
|
448 |
(9.0) |
|
11.8 |
(3.8) |
|
26 |
(4.3) |
|
|
|
DKI Jakarta |
412 |
(7.0) |
|
447 |
(9.9) |
|
17.8 |
(5.9) |
|
33 |
(6.1) |
|
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
395 |
(4.5) |
|
400 |
(5.1) |
|
0.8 |
(0.4) |
|
8 |
(2.6) |
|
|
|
Aktobe region |
381 |
(4.3) |
|
389 |
(4.1) |
|
4.4 |
(1.5) |
|
17 |
(2.9) |
|
|
|
Almaty |
424 |
(7.8) |
|
428 |
(7.5) |
|
4.2 |
(2.3) |
|
21 |
(6.3) |
|
|
|
Almaty region |
360 |
(4.4) |
|
366 |
(4.5) |
|
2.1 |
(1.1) |
|
12 |
(3.2) |
|
|
|
Astana |
428 |
(7.4) |
|
430 |
(6.6) |
|
9.5 |
(2.1) |
|
30 |
(4.3) |
|
|
|
Atyrau region |
344 |
(4.4) |
|
354 |
(4.5) |
|
5.3 |
(1.9) |
|
19 |
(3.5) |
|
|
|
East-Kazakhstan region |
405 |
(6.4) |
|
417 |
(6.6) |
|
6.3 |
(3.2) |
|
23 |
(6.4) |
|
|
|
Karagandy region |
422 |
(6.8) |
|
430 |
(7.8) |
|
4.0 |
(2.3) |
|
21 |
(6.2) |
|
|
|
Kostanay region |
417 |
(5.1) |
|
428 |
(5.7) |
|
4.4 |
(1.7) |
|
20 |
(4.1) |
|
|
|
Kyzyl-Orda region |
366 |
(2.8) |
|
373 |
(3.1) |
|
4.2 |
(1.3) |
|
13 |
(2.2) |
|
|
|
Mangistau region |
361 |
(5.8) |
|
368 |
(6.2) |
|
4.9 |
(2.3) |
|
19 |
(4.6) |
|
|
|
North-Kazakhstan region |
413 |
(5.0) |
|
421 |
(6.2) |
|
2.3 |
(1.3) |
|
15 |
(4.3) |
|
|
|
Pavlodar region |
391 |
(6.5) |
|
398 |
(7.2) |
|
2.6 |
(1.6) |
|
17 |
(5.1) |
|
|
|
South-Kazakhstan region |
368 |
(3.5) |
|
373 |
(3.6) |
|
2.1 |
(0.9) |
|
11 |
(2.1) |
|
|
|
West-Kazakhstan region |
378 |
(4.9) |
|
387 |
(4.9) |
|
4.7 |
(1.3) |
|
19 |
(3.0) |
|
|
|
Zhambyl region |
369 |
(3.6) |
|
375 |
(4.1) |
|
1.3 |
(0.8) |
|
8 |
(2.8) |
|
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
486 |
(4.7) |
|
479 |
(5.4) |
|
2.8 |
(1.2) |
|
22 |
(5.1) |
|
|
|
Republic of Tatarstan* |
463 |
(3.1) |
|
460 |
(2.8) |
|
4.6 |
(1.1) |
|
27 |
(3.3) |
|
|
* PISA adjudicated region.
1. ESCS refers to the PISA index of economic, social and cultural status.
Notes: See Table II.B1.2.3 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.4 [3/6]. Socio-economic status and reading performance
|
|
Reading performance, by socio-economic status (ESCS) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
National quarter of ESCS |
||||||||||||||||
|
Bottom quarter of ESCS |
Second quarter of ESCS |
Third quarter of ESCS |
Top quarter of ESCS |
Top - Bottom quarter |
||||||||||||
|
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Score dif. |
S.E. |
s |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
448 |
(4.6) |
|
483 |
(5.3) |
|
524 |
(4.8) |
|
558 |
(3.1) |
|
110 |
(5.1) |
|
|
|
French Community |
430 |
(4.2) |
|
468 |
(5.0) |
|
497 |
(5.1) |
|
538 |
(5.1) |
|
107 |
(6.7) |
|
|
|
German-speaking Community |
460 |
(11.2) |
|
480 |
(10.5) |
|
487 |
(9.5) |
|
512 |
(10.1) |
|
52 |
(16.0) |
|
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
492 |
(6.9) |
|
521 |
(7.2) |
|
553 |
(5.2) |
|
568 |
(6.0) |
|
76 |
(9.2) |
|
|
|
British Columbia |
483 |
(6.4) |
|
515 |
(5.8) |
|
541 |
(6.1) |
|
545 |
(8.0) |
|
61 |
(9.8) |
|
|
|
Manitoba |
468 |
(5.7) |
|
487 |
(5.2) |
|
504 |
(5.4) |
|
526 |
(5.8) |
|
58 |
(8.2) |
|
|
|
New Brunswick |
460 |
(6.3) |
|
477 |
(6.4) |
|
500 |
(6.3) |
|
524 |
(7.6) |
|
63 |
(10.6) |
|
|
|
Newfoundland and Labrador |
491 |
(7.9) |
|
514 |
(8.5) |
|
528 |
(7.5) |
|
546 |
(8.0) |
|
55 |
(9.9) |
|
|
|
Nova Scotia |
480 |
(6.0) |
|
510 |
(5.9) |
|
537 |
(6.9) |
|
543 |
(8.1) |
|
63 |
(8.3) |
|
|
|
Ontario |
492 |
(5.3) |
|
518 |
(4.9) |
|
542 |
(5.9) |
|
555 |
(4.8) |
|
63 |
(6.7) |
|
|
|
Prince Edward Island |
472 |
(13.7) |
|
484 |
(17.1) |
|
510 |
(12.4) |
|
549 |
(13.3) |
|
76 |
(18.0) |
|
|
|
Québec |
482 |
(4.7) |
|
510 |
(4.9) |
|
538 |
(5.0) |
|
554 |
(4.9) |
|
71 |
(6.2) |
|
|
|
Saskatchewan |
465 |
(5.2) |
|
491 |
(5.7) |
|
510 |
(5.0) |
|
539 |
(4.8) |
|
74 |
(6.8) |
|
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
409 |
(7.1) |
|
438 |
(7.3) |
|
462 |
(6.9) |
|
515 |
(12.3) |
|
106 |
(14.1) |
|
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
466 |
(5.4) |
|
493 |
(5.4) |
|
500 |
(7.0) |
|
525 |
(5.8) |
|
60 |
(7.2) |
|
|
|
Sardegna |
436 |
(5.8) |
|
458 |
(5.6) |
|
468 |
(7.4) |
|
485 |
(6.3) |
|
49 |
(7.6) |
|
|
|
Toscana |
447 |
(6.0) |
|
480 |
(6.7) |
|
495 |
(6.6) |
|
512 |
(5.6) |
|
65 |
(6.8) |
|
|
|
Trento |
461 |
(5.1) |
|
489 |
(6.6) |
|
505 |
(6.3) |
|
533 |
(6.6) |
|
72 |
(8.4) |
|
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Aragon |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Asturias |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Balearic Islands |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Basque Country |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Canary Islands |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Cantabria |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile and Leon |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile-La Mancha |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Catalonia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Ceuta |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Comunidad Valenciana |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Extremadura |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Galicia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
La Rioja |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Madrid |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Melilla |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Murcia |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Navarre |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
471 |
(3.8) |
|
495 |
(4.3) |
|
517 |
(4.4) |
|
553 |
(4.6) |
|
82 |
(5.7) |
|
|
|
Northern Ireland |
476 |
(4.8) |
|
483 |
(6.3) |
|
516 |
(7.1) |
|
539 |
(6.6) |
|
62 |
(6.8) |
|
|
|
Scotland* |
472 |
(4.8) |
|
492 |
(4.6) |
|
515 |
(5.8) |
|
544 |
(5.3) |
|
72 |
(6.9) |
|
|
|
Wales |
466 |
(4.7) |
|
478 |
(5.6) |
|
491 |
(5.9) |
|
515 |
(5.8) |
|
49 |
(6.6) |
|
|
* PISA adjudicated region.
1. ESCS refers to the PISA index of economic, social and cultural status.
Notes: See Table II.B1.2.3 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.4 [4/6]. Socio-economic status and reading performance
|
|
Reading performance, by socio-economic status (ESCS) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
National quarter of ESCS |
||||||||||||||||
|
Bottom quarter of ESCS |
Second quarter of ESCS |
Third quarter of ESCS |
Top quarter of ESCS |
Top - Bottom quarter |
||||||||||||
|
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Score dif. |
S.E. |
s |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
409 |
(6.5) |
|
443 |
(8.3) |
|
463 |
(7.4) |
|
505 |
(7.8) |
|
96 |
(9.5) |
|
|
|
Cordoba* |
376 |
(6.6) |
|
416 |
(5.7) |
|
446 |
(6.4) |
|
472 |
(7.2) |
|
96 |
(9.5) |
|
|
|
PBA* |
369 |
(5.9) |
|
397 |
(8.1) |
|
423 |
(8.2) |
|
466 |
(9.9) |
|
97 |
(11.4) |
|
|
|
Tucuman* |
341 |
(5.5) |
|
363 |
(7.0) |
|
404 |
(9.6) |
|
451 |
(7.7) |
|
110 |
(9.6) |
|
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
350 |
(7.8) |
|
390 |
(8.7) |
|
399 |
(11.9) |
|
432 |
(11.4) |
|
82 |
(12.6) |
|
|
|
Northeast |
355 |
(5.1) |
|
376 |
(4.8) |
|
389 |
(6.5) |
|
443 |
(10.7) |
|
88 |
(12.4) |
|
|
|
South |
390 |
(8.4) |
|
414 |
(7.4) |
|
435 |
(9.7) |
|
496 |
(9.1) |
|
106 |
(11.2) |
|
|
|
Southeast |
389 |
(3.5) |
|
407 |
(4.2) |
|
432 |
(4.4) |
|
473 |
(6.7) |
|
84 |
(7.2) |
|
|
|
Middle-West |
391 |
(8.7) |
|
401 |
(13.2) |
|
425 |
(12.0) |
|
488 |
(21.4) |
|
97 |
(23.0) |
|
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
388 |
(6.3) |
|
395 |
(5.8) |
|
413 |
(8.6) |
|
460 |
(13.6) |
|
73 |
(14.3) |
|
|
|
DKI Jakarta |
378 |
(4.7) |
|
391 |
(5.6) |
|
415 |
(8.9) |
|
465 |
(21.2) |
|
86 |
(22.3) |
|
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
388 |
(4.8) |
|
391 |
(6.3) |
|
398 |
(7.0) |
|
404 |
(6.6) |
|
16 |
(6.0) |
|
|
|
Aktobe region |
361 |
(5.7) |
|
376 |
(6.7) |
|
387 |
(6.9) |
|
399 |
(5.2) |
|
38 |
(6.4) |
|
|
|
Almaty |
401 |
(8.1) |
|
422 |
(9.5) |
|
428 |
(11.4) |
|
448 |
(12.2) |
|
47 |
(13.8) |
|
|
|
Almaty region |
348 |
(5.6) |
|
356 |
(5.8) |
|
362 |
(6.6) |
|
374 |
(6.1) |
|
26 |
(6.7) |
|
|
|
Astana |
396 |
(7.4) |
|
418 |
(9.9) |
|
441 |
(9.3) |
|
455 |
(9.1) |
|
59 |
(10.4) |
|
|
|
Atyrau region |
325 |
(5.8) |
|
344 |
(7.1) |
|
342 |
(7.1) |
|
364 |
(5.7) |
|
39 |
(8.0) |
|
|
|
East-Kazakhstan region |
380 |
(10.3) |
|
401 |
(6.6) |
|
410 |
(9.4) |
|
429 |
(10.6) |
|
49 |
(14.5) |
|
|
|
Karagandy region |
398 |
(6.3) |
|
422 |
(8.1) |
|
427 |
(10.9) |
|
443 |
(11.9) |
|
45 |
(13.2) |
|
|
|
Kostanay region |
396 |
(7.8) |
|
417 |
(6.2) |
|
422 |
(8.2) |
|
434 |
(7.9) |
|
39 |
(8.9) |
|
|
|
Kyzyl-Orda region |
351 |
(4.8) |
|
362 |
(4.5) |
|
373 |
(5.2) |
|
380 |
(4.6) |
|
29 |
(6.1) |
|
|
|
Mangistau region |
345 |
(6.1) |
|
353 |
(5.3) |
|
362 |
(8.0) |
|
383 |
(11.6) |
|
39 |
(11.9) |
|
|
|
North-Kazakhstan region |
397 |
(6.4) |
|
410 |
(6.1) |
|
413 |
(8.7) |
|
431 |
(8.5) |
|
34 |
(9.1) |
|
|
|
Pavlodar region |
379 |
(8.1) |
|
383 |
(6.6) |
|
391 |
(5.6) |
|
411 |
(12.8) |
|
33 |
(12.9) |
|
|
|
South-Kazakhstan region |
359 |
(4.8) |
|
361 |
(3.5) |
|
370 |
(6.9) |
|
383 |
(4.7) |
|
24 |
(5.3) |
|
|
|
West-Kazakhstan region |
360 |
(5.5) |
|
370 |
(6.7) |
|
391 |
(8.2) |
|
393 |
(6.0) |
|
33 |
(6.9) |
|
|
|
Zhambyl region |
359 |
(5.9) |
|
369 |
(5.0) |
|
369 |
(5.1) |
|
380 |
(5.8) |
|
21 |
(7.2) |
|
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
462 |
(7.9) |
|
480 |
(6.8) |
|
495 |
(6.3) |
|
509 |
(5.5) |
|
47 |
(9.0) |
|
|
|
Republic of Tatarstan* |
437 |
(3.6) |
|
450 |
(3.2) |
|
478 |
(4.1) |
|
487 |
(6.0) |
|
50 |
(6.5) |
|
|
* PISA adjudicated region.
1. ESCS refers to the PISA index of economic, social and cultural status.
Notes: See Table II.B1.2.3 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.4 [5/6]. Socio-economic status and reading performance
|
|
Reading performance, by socio-economic status (ESCS) |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
National decile of ESCS |
||||||||||
|
Below the bottom decile of ESCS |
Above the top decile of ESCS |
Above top - Below bottom deciles of ESCS |
||||||||
|
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Score dif. |
S.E. |
s |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
428 |
(6.0) |
|
569 |
(5.4) |
|
141 |
(7.8) |
|
|
|
French Community |
414 |
(5.5) |
|
548 |
(5.8) |
|
134 |
(8.0) |
|
|
|
German-speaking Community |
438 |
(21.8) |
|
518 |
(16.9) |
|
80 |
(27.1) |
|
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
Alberta |
478 |
(10.8) |
|
574 |
(9.5) |
|
96 |
(15.8) |
|
|
|
British Columbia |
467 |
(7.8) |
|
543 |
(11.1) |
|
76 |
(13.7) |
|
|
|
Manitoba |
459 |
(11.0) |
|
519 |
(9.6) |
|
60 |
(14.1) |
|
|
|
New Brunswick |
441 |
(10.4) |
|
515 |
(14.0) |
|
74 |
(18.2) |
|
|
|
Newfoundland and Labrador |
474 |
(14.1) |
|
542 |
(12.6) |
|
68 |
(18.0) |
|
|
|
Nova Scotia |
473 |
(10.0) |
|
550 |
(12.5) |
|
76 |
(15.2) |
|
|
|
Ontario |
485 |
(7.3) |
|
543 |
(5.6) |
|
58 |
(8.4) |
|
|
|
Prince Edward Island |
465 |
(19.7) |
|
532 |
(18.7) |
|
66 |
(25.1) |
|
|
|
Québec |
469 |
(7.3) |
|
564 |
(6.3) |
|
96 |
(9.6) |
|
|
|
Saskatchewan |
450 |
(8.0) |
|
543 |
(8.8) |
|
93 |
(12.6) |
|
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
401 |
(7.0) |
|
539 |
(13.8) |
|
138 |
(15.1) |
|
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
439 |
(7.7) |
|
554 |
(7.3) |
|
115 |
(10.4) |
|
|
|
Sardegna |
422 |
(9.7) |
|
505 |
(9.1) |
|
83 |
(12.9) |
|
|
|
Toscana |
428 |
(11.9) |
|
518 |
(7.6) |
|
90 |
(14.5) |
|
|
|
Trento |
441 |
(8.7) |
|
543 |
(9.5) |
|
102 |
(12.0) |
|
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Aragon |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Asturias |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Balearic Islands |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Basque Country |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Canary Islands |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Cantabria |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile and Leon |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile-La Mancha |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Catalonia |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Ceuta |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Comunidad Valenciana |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Extremadura |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Galicia |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
La Rioja |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Madrid |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Melilla |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Murcia |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Navarre |
m |
m |
|
m |
m |
|
m |
m |
|
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
England |
452 |
(6.4) |
|
553 |
(6.3) |
|
100 |
(8.4) |
|
|
|
Northern Ireland |
461 |
(7.0) |
|
549 |
(7.0) |
|
88 |
(9.3) |
|
|
|
Scotland* |
461 |
(6.4) |
|
549 |
(7.2) |
|
88 |
(9.6) |
|
|
|
Wales |
457 |
(6.9) |
|
528 |
(7.1) |
|
71 |
(9.0) |
|
|
* PISA adjudicated region.
1. ESCS refers to the PISA index of economic, social and cultural status.
Notes: See Table II.B1.2.3 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.4 [6/6]. Socio-economic status and reading performance
|
|
Reading performance, by socio-economic status (ESCS) |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
National decile of ESCS |
||||||||||
|
Below the bottom decile of ESCS |
Above the top decile of ESCS |
Above top - Below bottom deciles of ESCS |
||||||||
|
Mean score |
S.E. |
s |
Mean score |
S.E. |
s |
Score dif. |
S.E. |
s |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
CABA* |
395 |
(7.4) |
|
508 |
(8.9) |
|
113 |
(12.0) |
|
|
|
Cordoba* |
356 |
(9.4) |
|
488 |
(8.6) |
|
132 |
(13.4) |
|
|
|
PBA* |
361 |
(10.1) |
|
495 |
(9.0) |
|
134 |
(13.4) |
|
|
|
Tucuman* |
331 |
(7.9) |
|
469 |
(12.2) |
|
137 |
(14.4) |
|
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
North |
336 |
(9.2) |
|
465 |
(16.2) |
|
129 |
(17.3) |
|
|
|
Northeast |
346 |
(6.3) |
|
481 |
(18.2) |
|
135 |
(19.7) |
|
|
|
South |
375 |
(11.4) |
|
529 |
(11.8) |
|
154 |
(15.5) |
|
|
|
Southeast |
387 |
(5.6) |
|
502 |
(10.1) |
|
115 |
(11.5) |
|
|
|
Middle-West |
392 |
(13.6) |
|
522 |
(34.0) |
|
130 |
(35.8) |
|
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
381 |
(7.1) |
|
482 |
(16.3) |
|
101 |
(18.2) |
|
|
|
DKI Jakarta |
371 |
(5.2) |
|
497 |
(22.0) |
|
126 |
(23.9) |
|
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
374 |
(7.6) |
|
402 |
(10.4) |
|
28 |
(10.1) |
|
|
|
Aktobe region |
354 |
(6.8) |
|
396 |
(6.4) |
|
42 |
(9.2) |
|
|
|
Almaty |
383 |
(10.4) |
|
444 |
(13.6) |
|
62 |
(18.2) |
|
|
|
Almaty region |
346 |
(8.7) |
|
379 |
(7.6) |
|
32 |
(11.2) |
|
|
|
Astana |
388 |
(7.6) |
|
467 |
(11.1) |
|
79 |
(13.4) |
|
|
|
Atyrau region |
310 |
(7.5) |
|
370 |
(7.4) |
|
60 |
(9.5) |
|
|
|
East-Kazakhstan region |
362 |
(22.8) |
|
433 |
(16.6) |
|
70 |
(28.4) |
|
|
|
Karagandy region |
391 |
(8.1) |
|
453 |
(12.6) |
|
62 |
(17.5) |
|
|
|
Kostanay region |
377 |
(10.8) |
|
438 |
(9.5) |
|
61 |
(13.7) |
|
|
|
Kyzyl-Orda region |
341 |
(7.2) |
|
387 |
(6.3) |
|
45 |
(9.7) |
|
|
|
Mangistau region |
338 |
(8.9) |
|
388 |
(13.3) |
|
50 |
(15.1) |
|
|
|
North-Kazakhstan region |
394 |
(9.2) |
|
434 |
(11.4) |
|
41 |
(13.8) |
|
|
|
Pavlodar region |
368 |
(13.3) |
|
421 |
(15.8) |
|
53 |
(18.1) |
|
|
|
South-Kazakhstan region |
354 |
(7.8) |
|
381 |
(8.0) |
|
27 |
(10.0) |
|
|
|
West-Kazakhstan region |
352 |
(10.0) |
|
402 |
(8.9) |
|
50 |
(12.8) |
|
|
|
Zhambyl region |
351 |
(6.5) |
|
382 |
(7.2) |
|
31 |
(9.6) |
|
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
461 |
(10.7) |
|
503 |
(8.6) |
|
42 |
(13.7) |
|
|
|
Republic of Tatarstan* |
425 |
(5.2) |
|
483 |
(8.2) |
|
57 |
(9.5) |
|
|
* PISA adjudicated region.
1. ESCS refers to the PISA index of economic, social and cultural status.
Notes: See Table II.B1.2.3 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Table II.B2.9 [1/4]. Total variation in reading performance, and variation between and within schools
|
|
Sample size |
Coverage1 |
Mean reading performance |
Total variation in reading performance2 |
Variation in reading performance between schools3 |
Variation in reading performance within schools |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Number of schools |
% |
Mean score |
S.E. |
s |
Variance |
S.E. |
s |
Variance |
S.E. |
s |
Variance |
S.E. |
s |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
159 |
97.3 |
506 |
(3.5) |
|
10309 |
(409) |
|
4424 |
(439) |
|
5865 |
(180) |
|
|
|
French Community |
97 |
94.2 |
489 |
(2.8) |
|
9095 |
(314) |
|
3175 |
(330) |
|
5891 |
(218) |
|
|
|
German-speaking Community |
9 |
98.9 |
484 |
(4.6) |
|
8232 |
(628) |
|
1853 |
(1033) |
|
6345 |
(440) |
|
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
79 |
96.6 |
532 |
(4.3) |
|
10298 |
(468) |
|
1284 |
(262) |
|
8968 |
(389) |
|
|
|
British Columbia |
83 |
99.7 |
520 |
(4.5) |
|
10750 |
(444) |
|
949 |
(274) |
|
9912 |
(370) |
|
|
|
Manitoba |
93 |
99.3 |
495 |
(3.4) |
|
9773 |
(325) |
|
936 |
(245) |
|
8876 |
(343) |
|
|
|
New Brunswick |
53 |
100.0 |
489 |
(3.5) |
|
10653 |
(504) |
|
772 |
(239) |
|
9978 |
(550) |
|
|
|
Newfoundland and Labrador |
46 |
99.8 |
512 |
(4.3) |
|
9902 |
(555) |
|
332 |
(158) |
|
9612 |
(445) |
|
|
|
Nova Scotia |
52 |
91.7 |
514 |
(3.9) |
|
10391 |
(502) |
|
709 |
(269) |
|
9651 |
(446) |
|
|
|
Ontario |
146 |
100.0 |
524 |
(3.5) |
|
10233 |
(317) |
|
1052 |
(177) |
|
9235 |
(282) |
|
|
|
Prince Edward Island |
9 |
76.3 |
505 |
(13.0) |
|
11470 |
(1012) |
|
1711 |
(861) |
|
9577 |
(893) |
|
|
|
Québec |
139 |
97.8 |
521 |
(3.5) |
|
8785 |
(338) |
|
1723 |
(281) |
|
7034 |
(271) |
|
|
|
Saskatchewan |
87 |
99.6 |
499 |
(3.0) |
|
8963 |
(414) |
|
456 |
(182) |
|
8493 |
(403) |
|
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
58 |
100.0 |
455 |
(5.4) |
|
8013 |
(514) |
|
2916 |
(497) |
|
5115 |
(201) |
|
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
81 |
99.7 |
496 |
(3.3) |
|
7870 |
(353) |
|
2535 |
(389) |
|
5370 |
(322) |
|
|
|
Sardegna |
71 |
98.9 |
463 |
(4.1) |
|
8317 |
(377) |
|
2855 |
(418) |
|
5414 |
(238) |
|
|
|
Toscana |
70 |
99.7 |
482 |
(4.0) |
|
8804 |
(460) |
|
3006 |
(542) |
|
5669 |
(261) |
|
|
|
Trento |
57 |
99.6 |
497 |
(2.3) |
|
8576 |
(369) |
|
3669 |
(601) |
|
4926 |
(250) |
|
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
53 |
98.8 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Aragon |
52 |
98.7 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Asturias |
55 |
98.5 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Balearic Islands |
53 |
97.0 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Basque Country |
128 |
97.6 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Canary Islands |
54 |
96.8 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Cantabria |
56 |
99.1 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile and Leon |
59 |
98.3 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Castile-La Mancha |
53 |
99.0 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Catalonia |
50 |
98.3 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Ceuta |
12 |
97.6 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Comunidad Valenciana |
53 |
97.9 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Extremadura |
54 |
97.9 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Galicia |
60 |
98.5 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
La Rioja |
45 |
98.2 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Madrid |
143 |
98.2 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Melilla |
8 |
99.5 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Murcia |
52 |
96.2 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
Navarre |
49 |
97.9 |
m |
m |
|
m |
m |
|
m |
m |
|
m |
m |
|
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
175 |
100.0 |
505 |
(3.0) |
|
10165 |
(302) |
|
1812 |
(255) |
|
8315 |
(205) |
|
|
|
Northern Ireland |
79 |
100.0 |
501 |
(4.0) |
|
9515 |
(432) |
|
3353 |
(436) |
|
6123 |
(296) |
|
|
|
Scotland* |
110 |
100.0 |
504 |
(3.0) |
|
8995 |
(352) |
|
789 |
(221) |
|
8249 |
(294) |
|
|
|
Wales |
107 |
100.0 |
483 |
(4.0) |
|
9389 |
(304) |
|
1372 |
(215) |
|
7989 |
(280) |
|
|
* PISA adjudicated region.
1. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
2. The total variation in student performance is calculated from the square of the standard deviation for all students. Due to the unbalanced, clustered nature of the data, the sum of the between- and within-school variation components, as an estimate from a sample, does not necessarily add up to the total.
3. In some countries/economies, subunits within schools were sampled instead of schools; this may affect the estimation of between-school variation components (see Annex A3).
4. The index of academic inclusion is calculated as 100*(1-rho), where rho stands for the intra-class correlation of performance. The intra-class correlation, in turn, is the variation in student performance between schools, divided by the sum of the variation in student performance between schools and the variation in student performance within schools, and multiplied by 100.
Notes: See Table II.B1.4.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
Table II.B2.9 [2/4]. Total variation in reading performance, and variation between and within schools
|
|
Sample size |
Coverage1 |
Mean reading performance |
Total variation in reading performance2 |
Variation in reading performance between schools3 |
Variation in reading performance within schools |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Number of schools |
% |
Mean score |
S.E. |
s |
Variance |
S.E. |
s |
Variance |
S.E. |
s |
Variance |
S.E. |
s |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
81 |
100.0 |
454 |
(5.4) |
|
8711 |
(433) |
|
2848 |
(419) |
|
5841 |
(250) |
|
|
|
Cordoba* |
83 |
100.0 |
427 |
(4.5) |
|
8289 |
(452) |
|
2972 |
(421) |
|
5291 |
(196) |
|
|
|
PBA* |
87 |
100.0 |
413 |
(5.8) |
|
9359 |
(443) |
|
3343 |
(503) |
|
5982 |
(260) |
|
|
|
Tucuman* |
85 |
100.0 |
389 |
(5.0) |
|
9145 |
(472) |
|
3697 |
(496) |
|
5397 |
(184) |
|
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
37 |
74.5 |
413 |
(8.0) |
|
8071 |
(507) |
|
2648 |
(807) |
|
5383 |
(353) |
|
|
|
Northeast |
118 |
68.8 |
421 |
(4.6) |
|
8843 |
(630) |
|
3294 |
(652) |
|
5535 |
(242) |
|
|
|
South |
71 |
88.3 |
442 |
(6.0) |
|
9070 |
(593) |
|
3218 |
(589) |
|
5813 |
(351) |
|
|
|
Southeast |
187 |
90.5 |
431 |
(2.9) |
|
9472 |
(305) |
|
3119 |
(411) |
|
6360 |
(200) |
|
|
|
Middle-West |
37 |
87.5 |
439 |
(8.9) |
|
9954 |
(1220) |
|
3857 |
(1360) |
|
6158 |
(449) |
|
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
58 |
100.0 |
414 |
(5.8) |
|
6932 |
(531) |
|
3656 |
(655) |
|
3252 |
(174) |
|
|
|
DKI Jakarta |
60 |
100.0 |
412 |
(7.0) |
|
6961 |
(814) |
|
3764 |
(793) |
|
3207 |
(290) |
|
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
44 |
87.1 |
395 |
(4.9) |
|
6224 |
(363) |
|
1126 |
(338) |
|
5120 |
(343) |
|
|
|
Aktobe region |
32 |
78.6 |
390 |
(5.3) |
|
4749 |
(346) |
|
1205 |
(459) |
|
3864 |
(346) |
|
|
|
Almaty |
21 |
71.2 |
446 |
(9.5) |
|
7020 |
(746) |
|
2015 |
(752) |
|
4889 |
(474) |
|
|
|
Almaty region |
31 |
86.5 |
361 |
(4.8) |
|
4753 |
(323) |
|
799 |
(276) |
|
4155 |
(269) |
|
|
|
Astana |
24 |
81.5 |
439 |
(8.0) |
|
6557 |
(469) |
|
1661 |
(430) |
|
5013 |
(280) |
|
|
|
Atyrau region |
26 |
75.3 |
349 |
(4.5) |
|
4643 |
(408) |
|
980 |
(403) |
|
3897 |
(328) |
|
|
|
East-Kazakhstan region |
37 |
82.8 |
415 |
(6.4) |
|
5795 |
(445) |
|
1598 |
(420) |
|
4389 |
(387) |
|
|
|
Karagandy region |
28 |
72.1 |
426 |
(8.2) |
|
7389 |
(690) |
|
2346 |
(684) |
|
5202 |
(447) |
|
|
|
Kostanay region |
40 |
85.8 |
424 |
(5.3) |
|
5541 |
(341) |
|
1360 |
(381) |
|
4526 |
(314) |
|
|
|
Kyzyl-Orda region |
27 |
70.9 |
378 |
(3.6) |
|
3560 |
(315) |
|
667 |
(293) |
|
3140 |
(335) |
|
|
|
Mangistau region |
22 |
78.7 |
369 |
(6.3) |
|
4985 |
(451) |
|
1479 |
(514) |
|
3656 |
(353) |
|
|
|
North-Kazakhstan region |
54 |
86.2 |
415 |
(5.5) |
|
6002 |
(362) |
|
1210 |
(376) |
|
4965 |
(255) |
|
|
|
Pavlodar region |
35 |
86.8 |
393 |
(7.3) |
|
6899 |
(432) |
|
2391 |
(461) |
|
4761 |
(338) |
|
|
|
South-Kazakhstan region |
32 |
83.7 |
368 |
(3.6) |
|
4045 |
(346) |
|
681 |
(220) |
|
3529 |
(326) |
|
|
|
West-Kazakhstan region |
35 |
78.9 |
384 |
(5.3) |
|
5131 |
(377) |
|
1588 |
(318) |
|
3624 |
(343) |
|
|
|
Zhambyl region |
28 |
80.0 |
375 |
(4.1) |
|
3907 |
(311) |
|
1080 |
(346) |
|
2996 |
(257) |
|
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
59 |
98.3 |
487 |
(4.8) |
|
8404 |
(402) |
|
1170 |
(248) |
|
7254 |
(260) |
|
|
|
Republic of Tatarstan* |
232 |
98.7 |
463 |
(3.1) |
|
8298 |
(293) |
|
2072 |
(273) |
|
6455 |
(162) |
|
|
* PISA adjudicated region.
1. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
2. The total variation in student performance is calculated from the square of the standard deviation for all students. Due to the unbalanced, clustered nature of the data, the sum of the between- and within-school variation components, as an estimate from a sample, does not necessarily add up to the total.
3. In some countries/economies, subunits within schools were sampled instead of schools; this may affect the estimation of between-school variation components (see Annex A3).
4. The index of academic inclusion is calculated as 100*(1-rho), where rho stands for the intra-class correlation of performance. The intra-class correlation, in turn, is the variation in student performance between schools, divided by the sum of the variation in student performance between schools and the variation in student performance within schools, and multiplied by 100.
Notes: See Table II.B1.4.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
Table II.B2.9 [3/4]. Total variation in reading performance, and variation between and within schools
|
|
As a percentage of the average total variation in reading performance across OECD countries |
Index of academic inclusion4 |
|||||
|---|---|---|---|---|---|---|---|
|
Total variation |
Between-school variation |
Within-school variation |
|||||
|
% |
% |
% |
% |
S.E. |
s |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
Flemish Community* |
106.0 |
45.5 |
60.3 |
57.0 |
(2.7) |
|
|
|
French Community |
93.5 |
32.6 |
60.6 |
65.0 |
(2.7) |
|
|
|
German-speaking Community |
84.7 |
19.1 |
65.2 |
77.4 |
(10.1) |
|
|
|
Canada |
|
|
|
|
|
|
|
|
Alberta |
105.9 |
13.2 |
92.2 |
87.5 |
(2.3) |
|
|
|
British Columbia |
110.5 |
9.8 |
101.9 |
91.3 |
(2.4) |
|
|
|
Manitoba |
100.5 |
9.6 |
91.3 |
90.5 |
(2.3) |
|
|
|
New Brunswick |
109.5 |
7.9 |
102.6 |
92.8 |
(2.1) |
|
|
|
Newfoundland and Labrador |
101.8 |
3.4 |
98.8 |
96.7 |
(1.6) |
|
|
|
Nova Scotia |
106.9 |
7.3 |
99.2 |
93.2 |
(2.4) |
|
|
|
Ontario |
105.2 |
10.8 |
95.0 |
89.8 |
(1.6) |
|
|
|
Prince Edward Island |
117.9 |
17.6 |
98.5 |
84.8 |
(6.5) |
|
|
|
Québec |
90.3 |
17.7 |
72.3 |
80.3 |
(2.7) |
|
|
|
Saskatchewan |
92.2 |
4.7 |
87.3 |
94.9 |
(2.0) |
|
|
|
Colombia |
|
|
|
|
|
|
|
|
Bogotá |
82.4 |
30.0 |
52.6 |
63.7 |
(4.2) |
|
|
|
Italy |
|
|
|
|
|
|
|
|
Bolzano |
80.9 |
26.1 |
55.2 |
67.9 |
(3.7) |
|
|
|
Sardegna |
85.5 |
29.4 |
55.7 |
65.5 |
(3.5) |
|
|
|
Toscana |
90.5 |
30.9 |
58.3 |
65.3 |
(4.4) |
|
|
|
Trento |
88.2 |
37.7 |
50.7 |
57.3 |
(4.5) |
|
|
|
Spain |
|
|
|
|
|
|
|
|
Andalusia |
m |
m |
m |
m |
m |
|
|
|
Aragon |
m |
m |
m |
m |
m |
|
|
|
Asturias |
m |
m |
m |
m |
m |
|
|
|
Balearic Islands |
m |
m |
m |
m |
m |
|
|
|
Basque Country |
m |
m |
m |
m |
m |
|
|
|
Canary Islands |
m |
m |
m |
m |
m |
|
|
|
Cantabria |
m |
m |
m |
m |
m |
|
|
|
Castile and Leon |
m |
m |
m |
m |
m |
|
|
|
Castile-La Mancha |
m |
m |
m |
m |
m |
|
|
|
Catalonia |
m |
m |
m |
m |
m |
|
|
|
Ceuta |
m |
m |
m |
m |
m |
|
|
|
Comunidad Valenciana |
m |
m |
m |
m |
m |
|
|
|
Extremadura |
m |
m |
m |
m |
m |
|
|
|
Galicia |
m |
m |
m |
m |
m |
|
|
|
La Rioja |
m |
m |
m |
m |
m |
|
|
|
Madrid |
m |
m |
m |
m |
m |
|
|
|
Melilla |
m |
m |
m |
m |
m |
|
|
|
Murcia |
m |
m |
m |
m |
m |
|
|
|
Navarre |
m |
m |
m |
m |
m |
|
|
|
United Kingdom |
|
|
|
|
|
|
|
|
England |
104.5 |
18.6 |
85.5 |
82.1 |
(2.2) |
|
|
|
Northern Ireland |
97.8 |
34.5 |
63.0 |
64.6 |
(3.3) |
|
|
|
Scotland* |
92.5 |
8.1 |
84.8 |
91.3 |
(2.3) |
|
|
|
Wales |
96.5 |
14.1 |
82.1 |
85.3 |
(2.1) |
|
|
* PISA adjudicated region.
1. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
2. The total variation in student performance is calculated from the square of the standard deviation for all students. Due to the unbalanced, clustered nature of the data, the sum of the between- and within-school variation components, as an estimate from a sample, does not necessarily add up to the total.
3. In some countries/economies, subunits within schools were sampled instead of schools; this may affect the estimation of between-school variation components (see Annex A3).
4. The index of academic inclusion is calculated as 100*(1-rho), where rho stands for the intra-class correlation of performance. The intra-class correlation, in turn, is the variation in student performance between schools, divided by the sum of the variation in student performance between schools and the variation in student performance within schools, and multiplied by 100.
Notes: See Table II.B1.4.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
Table II.B2.9 [4/4]. Total variation in reading performance, and variation between and within schools
|
|
As a percentage of the average total variation in reading performance across OECD countries |
Index of academic inclusion4 |
|||||
|---|---|---|---|---|---|---|---|
|
Total variation |
Between-school variation |
Within-school variation |
|||||
|
% |
% |
% |
% |
S.E. |
s |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
CABA* |
89.6 |
29.3 |
60.1 |
67.2 |
(3.6) |
|
|
|
Cordoba* |
85.2 |
30.6 |
54.4 |
64.0 |
(3.6) |
|
|
|
PBA* |
96.2 |
34.4 |
61.5 |
64.1 |
(3.8) |
|
|
|
Tucuman* |
94.0 |
38.0 |
55.5 |
59.4 |
(3.5) |
|
|
|
Brazil |
|
|
|
|
|
|
|
|
North |
83.0 |
27.2 |
55.4 |
67.0 |
(6.9) |
|
|
|
Northeast |
90.9 |
33.9 |
56.9 |
62.7 |
(5.0) |
|
|
|
South |
93.3 |
33.1 |
59.8 |
64.4 |
(4.7) |
|
|
|
Southeast |
97.4 |
32.1 |
65.4 |
67.1 |
(3.1) |
|
|
|
Middle-West |
102.4 |
39.7 |
63.3 |
61.5 |
(8.9) |
|
|
|
Indonesia |
|
|
|
|
|
|
|
|
DI Yogyakarta |
71.3 |
37.6 |
33.4 |
47.1 |
(5.0) |
|
|
|
DKI Jakarta |
71.6 |
38.7 |
33.0 |
46.0 |
(5.8) |
|
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
Akmola region |
64.0 |
11.6 |
52.6 |
82.0 |
(4.7) |
|
|
|
Aktobe region |
48.8 |
12.4 |
39.7 |
76.2 |
(6.6) |
|
|
|
Almaty |
72.2 |
20.7 |
50.3 |
70.8 |
(8.3) |
|
|
|
Almaty region |
48.9 |
8.2 |
42.7 |
83.9 |
(4.7) |
|
|
|
Astana |
67.4 |
17.1 |
51.5 |
75.1 |
(4.9) |
|
|
|
Atyrau region |
47.7 |
10.1 |
40.1 |
79.9 |
(6.5) |
|
|
|
East-Kazakhstan region |
59.6 |
16.4 |
45.1 |
73.3 |
(5.5) |
|
|
|
Karagandy region |
76.0 |
24.1 |
53.5 |
68.9 |
(6.8) |
|
|
|
Kostanay region |
57.0 |
14.0 |
46.5 |
76.9 |
(5.2) |
|
|
|
Kyzyl-Orda region |
36.6 |
6.9 |
32.3 |
82.5 |
(6.2) |
|
|
|
Mangistau region |
51.3 |
15.2 |
37.6 |
71.2 |
(6.5) |
|
|
|
North-Kazakhstan region |
61.7 |
12.4 |
51.1 |
80.4 |
(5.1) |
|
|
|
Pavlodar region |
70.9 |
24.6 |
49.0 |
66.6 |
(5.0) |
|
|
|
South-Kazakhstan region |
41.6 |
7.0 |
36.3 |
83.8 |
(4.7) |
|
|
|
West-Kazakhstan region |
52.8 |
16.3 |
37.3 |
69.5 |
(4.7) |
|
|
|
Zhambyl region |
40.2 |
11.1 |
30.8 |
73.5 |
(5.9) |
|
|
|
Russia |
|
|
|
|
|
|
|
|
Moscow region* |
86.4 |
12.0 |
74.6 |
86.1 |
(2.6) |
|
|
|
Republic of Tatarstan* |
85.3 |
21.3 |
66.4 |
75.7 |
(2.6) |
|
|
* PISA adjudicated region.
1. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
2. The total variation in student performance is calculated from the square of the standard deviation for all students. Due to the unbalanced, clustered nature of the data, the sum of the between- and within-school variation components, as an estimate from a sample, does not necessarily add up to the total.
3. In some countries/economies, subunits within schools were sampled instead of schools; this may affect the estimation of between-school variation components (see Annex A3).
4. The index of academic inclusion is calculated as 100*(1-rho), where rho stands for the intra-class correlation of performance. The intra-class correlation, in turn, is the variation in student performance between schools, divided by the sum of the variation in student performance between schools and the variation in student performance within schools, and multiplied by 100.
Notes: See Table II.B1.4.1 for national data.
Information regarding the proportion of the sample covered is shown next to the standard error. No symbol means at least 75% of the population was covered; one dagger (†) means at least 50% but less than 75%; and one double-dagger (‡) means less than 50% was covered. For comparisons across cycles, the coverage information corresponds to the cycle with the lowest sample coverage.
In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
Table II.B2.18 [1/6]. Variation in Principals’ views on staff shortage, by school characteristics
Results based on school principals’ reports
|
|
All schools1 |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Sample size |
Coverage2 |
Average index of principals’ views on staff shortage |
Percentiles of index of principals’ views on staff shortage |
Variability in index of principals’ views on staff shortage across schools |
|||||||||
|
Inter-decile range |
|||||||||||||
|
Number of schools |
% |
Mean Index |
S.E. |
10th |
S.E. |
Median (50th) |
S.E. |
90th |
S.E. |
I.D.R. |
S.E. |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
151 |
92.3 |
0.194 |
(0.061) |
-1.455 |
(0.499) |
0.430 |
(0.024) |
1.074 |
(0.120) |
2.530 |
(0.518) |
|
|
French Community |
89 |
86.5 |
0.581 |
(0.078) |
-0.316 |
(0.162) |
0.611 |
(0.110) |
1.440 |
(0.134) |
1.756 |
(0.224) |
|
|
German-speaking Community |
9 |
98.9 |
0.791 |
(0.010) |
-0.002 |
c |
0.592 |
c |
2.098 |
c |
2.100 |
c |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
79 |
96.6 |
-0.263 |
(0.115) |
-1.455 |
c |
-0.178 |
(0.218) |
0.837 |
(0.175) |
2.292 |
(0.175) |
|
|
British Columbia |
81 |
96.7 |
0.074 |
(0.092) |
-1.455 |
c |
0.189 |
(0.092) |
1.074 |
(0.524) |
2.530 |
(0.524) |
|
|
Manitoba |
92 |
98.6 |
-0.209 |
(0.053) |
-1.455 |
c |
-0.010 |
(0.185) |
1.074 |
(0.080) |
2.530 |
(0.080) |
|
|
New Brunswick |
53 |
100.0 |
0.268 |
(0.019) |
-1.455 |
c |
0.443 |
(0.009) |
1.074 |
c |
2.530 |
c |
|
|
Newfoundland and Labrador |
46 |
99.8 |
-0.220 |
(0.051) |
-1.455 |
c |
-0.297 |
(0.000) |
1.544 |
(0.481) |
2.999 |
(0.481) |
|
|
Nova Scotia |
50 |
88.8 |
0.270 |
(0.068) |
-1.455 |
(0.000) |
0.430 |
(0.012) |
1.082 |
(0.187) |
2.537 |
(0.187) |
|
|
Ontario |
143 |
98.9 |
-0.525 |
(0.096) |
-1.455 |
c |
-0.587 |
(0.584) |
0.674 |
(0.248) |
2.129 |
(0.248) |
|
|
Prince Edward Island |
8 |
63.9 |
1.145 |
(0.145) |
0.430 |
c |
0.837 |
(0.289) |
2.088 |
c |
1.658 |
c |
|
|
Québec |
129 |
89.0 |
0.158 |
(0.071) |
-1.455 |
c |
0.333 |
(0.136) |
1.258 |
(0.184) |
2.713 |
(0.184) |
|
|
Saskatchewan |
86 |
97.5 |
0.020 |
(0.071) |
-1.455 |
c |
0.028 |
(0.145) |
1.000 |
(0.012) |
2.455 |
(0.012) |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
58 |
100.0 |
-0.018 |
(0.116) |
-1.455 |
c |
0.013 |
(0.210) |
1.095 |
(0.169) |
2.550 |
(0.169) |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
81 |
99.7 |
0.299 |
(0.011) |
-0.587 |
(0.028) |
0.430 |
c |
0.973 |
c |
1.560 |
(0.028) |
|
|
Sardegna |
70 |
97.5 |
0.672 |
(0.097) |
-0.316 |
(0.383) |
0.674 |
(0.146) |
1.970 |
(0.145) |
2.287 |
(0.340) |
|
|
Toscana |
68 |
96.2 |
0.668 |
(0.106) |
0.006 |
(0.394) |
0.743 |
(0.100) |
1.544 |
(0.293) |
1.538 |
(0.515) |
|
|
Trento |
55 |
98.3 |
0.150 |
(0.034) |
-1.455 |
c |
0.430 |
c |
1.828 |
c |
3.283 |
c |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
49 |
93.2 |
0.447 |
(0.108) |
-0.297 |
(0.162) |
0.449 |
(0.024) |
1.544 |
(0.489) |
1.840 |
(0.440) |
|
|
Aragon |
50 |
97.3 |
0.375 |
(0.127) |
-0.587 |
(0.379) |
0.283 |
(0.202) |
1.341 |
(0.409) |
1.927 |
(0.574) |
|
|
Asturias |
54 |
97.9 |
0.485 |
(0.086) |
-0.297 |
(0.258) |
0.512 |
(0.140) |
1.341 |
(0.177) |
1.637 |
(0.307) |
|
|
Balearic Islands |
51 |
97.6 |
0.459 |
(0.124) |
-0.587 |
(0.471) |
0.512 |
(0.108) |
1.544 |
(0.071) |
2.130 |
(0.470) |
|
|
Basque Country |
123 |
96.3 |
0.104 |
(0.076) |
-0.614 |
(0.891) |
0.108 |
(0.182) |
0.922 |
(0.210) |
1.536 |
(0.982) |
|
|
Canary Islands |
51 |
93.8 |
0.537 |
(0.146) |
-0.587 |
(1.286) |
0.449 |
(0.025) |
1.881 |
(0.257) |
2.468 |
(1.319) |
|
|
Cantabria |
52 |
94.7 |
0.251 |
(0.095) |
-1.455 |
(0.868) |
0.379 |
(0.143) |
1.341 |
(0.213) |
2.796 |
(0.917) |
|
|
Castile and Leon |
59 |
100.0 |
0.355 |
(0.101) |
-0.587 |
(1.317) |
0.360 |
(0.183) |
1.341 |
(0.168) |
1.927 |
(1.331) |
|
|
Castile-La Mancha |
53 |
100.0 |
0.573 |
(0.127) |
-0.297 |
(0.301) |
0.674 |
(0.128) |
1.544 |
(0.229) |
1.840 |
(0.382) |
|
|
Catalonia |
47 |
93.3 |
0.095 |
(0.145) |
-1.455 |
c |
0.183 |
(0.168) |
1.341 |
(0.428) |
2.796 |
(0.428) |
|
|
Ceuta |
10 |
71.5 |
0.780 |
(0.017) |
-0.178 |
c |
0.430 |
c |
2.490 |
c |
2.667 |
c |
|
|
Comunidad Valenciana |
52 |
99.6 |
0.295 |
(0.101) |
-0.614 |
(0.704) |
0.430 |
(0.193) |
1.544 |
(0.478) |
2.158 |
(0.744) |
|
|
Extremadura |
51 |
94.3 |
0.163 |
(0.174) |
-1.455 |
(0.301) |
0.210 |
(0.178) |
1.776 |
(0.733) |
3.231 |
(0.828) |
|
|
Galicia |
57 |
95.3 |
0.047 |
(0.113) |
-1.455 |
c |
0.210 |
(0.055) |
0.922 |
(0.571) |
2.377 |
(0.571) |
|
|
La Rioja |
44 |
98.4 |
0.164 |
(0.007) |
-1.455 |
c |
0.263 |
c |
1.341 |
c |
2.796 |
c |
|
|
Madrid |
132 |
93.6 |
0.455 |
(0.090) |
-0.783 |
(0.977) |
0.449 |
(0.035) |
1.872 |
(0.139) |
2.655 |
(0.985) |
|
|
Melilla |
8 |
100.0 |
0.684 |
(0.015) |
0.189 |
c |
0.655 |
c |
1.544 |
c |
1.354 |
c |
|
|
Murcia |
52 |
100.0 |
0.390 |
(0.113) |
-1.455 |
(1.342) |
0.449 |
(0.063) |
1.544 |
(0.359) |
2.999 |
(1.533) |
|
|
Navarre |
49 |
100.0 |
0.251 |
(0.092) |
-1.455 |
(1.228) |
0.210 |
(0.052) |
1.166 |
(0.378) |
2.621 |
(1.161) |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
132 |
76.1 |
-0.217 |
(0.065) |
-1.455 |
c |
0.013 |
(0.071) |
0.837 |
(0.132) |
2.292 |
(0.132) |
|
|
Northern Ireland |
67 |
84.1 |
-0.501 |
(0.090) |
-1.455 |
c |
-0.587 |
(0.130) |
0.605 |
(0.420) |
2.060 |
(0.420) |
|
|
Scotland* |
83 |
75.0 |
0.173 |
(0.097) |
-1.455 |
(0.368) |
0.210 |
(0.278) |
1.258 |
(0.106) |
2.713 |
(0.381) |
|
|
Wales |
99 |
92.1 |
-0.065 |
(0.086) |
-1.455 |
c |
0.006 |
(0.073) |
1.000 |
(0.093) |
2.455 |
(0.093) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.13 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.18 [2/6]. Variation in Principals’ views on staff shortage, by school characteristics
Results based on school principals’ reports
|
|
All schools1 |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Sample size |
Coverage2 |
Average index of principals’ views on staff shortage |
Percentiles of index of principals’ views on staff shortage |
Variability in index of principals’ views on staff shortage across schools |
|||||||||
|
Inter-decile range |
|||||||||||||
|
Number of schools |
% |
Mean Index |
S.E. |
10th |
S.E. |
Median (50th) |
S.E. |
90th |
S.E. |
I.D.R. |
S.E. |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
75 |
93.2 |
-0.178 |
(0.105) |
-1.455 |
c |
-0.178 |
(0.216) |
1.341 |
(0.326) |
2.796 |
(0.326) |
|
|
Cordoba* |
80 |
96.2 |
-0.176 |
(0.122) |
-1.455 |
c |
-0.178 |
(0.136) |
1.527 |
(0.434) |
2.982 |
(0.434) |
|
|
PBA* |
82 |
93.4 |
-0.242 |
(0.098) |
-1.455 |
c |
-0.088 |
(0.122) |
0.902 |
(0.190) |
2.357 |
(0.190) |
|
|
Tucuman* |
81 |
94.5 |
-0.025 |
(0.110) |
-1.455 |
c |
0.028 |
(0.086) |
1.300 |
(0.451) |
2.755 |
(0.451) |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
34 |
70.5 |
-0.550 |
(0.180) |
-1.455 |
c |
-0.587 |
(0.828) |
0.922 |
(0.193) |
2.377 |
(0.193) |
|
|
Northeast |
113 |
65.8 |
-0.260 |
(0.096) |
-1.455 |
c |
-0.195 |
(0.222) |
1.095 |
(0.267) |
2.550 |
(0.267) |
|
|
South |
61 |
80.0 |
-0.413 |
(0.155) |
-1.455 |
c |
-0.587 |
(0.487) |
0.922 |
(0.296) |
2.377 |
(0.296) |
|
|
Southeast |
170 |
82.4 |
-0.021 |
(0.084) |
-1.455 |
c |
0.028 |
(0.172) |
1.356 |
(0.127) |
2.811 |
(0.127) |
|
|
Middle-West |
36 |
87.2 |
-0.129 |
(0.229) |
-1.455 |
c |
-0.178 |
(0.382) |
1.651 |
(0.575) |
3.106 |
(0.575) |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
50 |
83.3 |
0.186 |
(0.163) |
-1.455 |
c |
0.263 |
(0.275) |
1.544 |
(0.175) |
2.999 |
(0.175) |
|
|
DKI Jakarta |
49 |
84.0 |
0.057 |
(0.155) |
-1.455 |
c |
0.263 |
(0.105) |
1.151 |
(0.304) |
2.607 |
(0.304) |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
44 |
87.1 |
-0.559 |
(0.173) |
-1.577 |
c |
-0.519 |
(0.486) |
0.586 |
(0.826) |
2.162 |
(0.826) |
|
|
Aktobe region |
32 |
78.6 |
-0.287 |
(0.202) |
-1.455 |
c |
-0.213 |
(0.307) |
1.243 |
(0.439) |
2.698 |
(0.439) |
|
|
Almaty |
21 |
71.2 |
-0.756 |
(0.184) |
-1.577 |
c |
-0.614 |
(0.530) |
0.006 |
(0.665) |
1.582 |
(0.665) |
|
|
Almaty region |
31 |
86.5 |
-0.642 |
(0.113) |
-1.455 |
c |
-0.783 |
(0.256) |
0.430 |
(0.434) |
1.885 |
(0.434) |
|
|
Astana |
24 |
81.5 |
-0.092 |
(0.236) |
-1.577 |
(0.121) |
0.150 |
(0.325) |
1.126 |
(0.363) |
2.703 |
(0.326) |
|
|
Atyrau region |
26 |
75.3 |
-0.376 |
(0.182) |
-1.455 |
c |
-0.431 |
(0.110) |
0.973 |
(0.444) |
2.428 |
(0.444) |
|
|
East-Kazakhstan region |
37 |
82.8 |
-0.607 |
(0.160) |
-1.577 |
(0.163) |
-0.783 |
(0.211) |
0.694 |
(0.190) |
2.270 |
(0.158) |
|
|
Karagandy region |
28 |
72.1 |
-0.079 |
(0.287) |
-1.577 |
(0.121) |
-0.222 |
(0.524) |
1.544 |
(0.141) |
3.120 |
(0.191) |
|
|
Kostanay region |
40 |
85.8 |
-0.376 |
(0.236) |
-1.577 |
c |
-0.656 |
(0.405) |
1.402 |
(0.325) |
2.978 |
(0.325) |
|
|
Kyzyl-Orda region |
27 |
70.9 |
-0.721 |
(0.163) |
-1.455 |
(0.121) |
-1.455 |
(0.959) |
0.512 |
(0.319) |
1.967 |
(0.335) |
|
|
Mangistau region |
22 |
78.7 |
-0.231 |
(0.231) |
-1.455 |
c |
-0.459 |
(0.572) |
1.243 |
(0.233) |
2.698 |
(0.233) |
|
|
North-Kazakhstan region |
54 |
86.2 |
-0.485 |
(0.133) |
-1.577 |
(0.000) |
-0.519 |
(0.101) |
1.004 |
(0.320) |
2.581 |
(0.320) |
|
|
Pavlodar region |
35 |
86.8 |
-0.721 |
(0.172) |
-1.577 |
c |
-0.914 |
(0.379) |
0.546 |
(0.215) |
2.123 |
(0.215) |
|
|
South-Kazakhstan region |
32 |
83.7 |
-0.260 |
(0.229) |
-1.455 |
c |
-0.775 |
(0.519) |
1.544 |
(1.109) |
2.999 |
(1.109) |
|
|
West-Kazakhstan region |
35 |
78.9 |
-0.869 |
(0.110) |
-1.577 |
(0.000) |
-0.783 |
(0.216) |
0.044 |
(0.266) |
1.621 |
(0.266) |
|
|
Zhambyl region |
28 |
80.0 |
-0.194 |
(0.287) |
-1.455 |
(0.121) |
-0.587 |
(0.375) |
2.088 |
(1.160) |
3.544 |
(1.157) |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
59 |
98.3 |
-0.419 |
(0.107) |
-1.455 |
c |
-0.316 |
(0.146) |
0.592 |
(0.139) |
2.047 |
(0.139) |
|
|
Republic of Tatarstan* |
232 |
98.7 |
-0.060 |
(0.082) |
-1.455 |
c |
-0.002 |
(0.054) |
1.151 |
(0.125) |
2.607 |
(0.125) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.13 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.18 [3/6]. Variation in Principals’ views on staff shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on staff shortage, by schools’ socio-economic profile3 |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bottom quarter |
Second quarter |
Third quarter |
Top quarter |
Top - bottom quarter |
|||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
0.500 |
(0.115) |
0.153 |
(0.158) |
0.102 |
(0.125) |
0.024 |
(0.131) |
-0.476 |
(0.169) |
|
|
French Community |
1.032 |
(0.145) |
0.272 |
(0.191) |
0.565 |
(0.198) |
0.457 |
(0.182) |
-0.576 |
(0.224) |
|
|
German-speaking Community |
m |
m |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
-0.191 |
(0.249) |
-0.520 |
(0.304) |
-0.227 |
(0.321) |
-0.105 |
(0.247) |
0.085 |
(0.348) |
|
|
British Columbia |
0.392 |
(0.220) |
-0.020 |
(0.217) |
0.137 |
(0.285) |
-0.241 |
(0.224) |
-0.632 |
(0.332) |
|
|
Manitoba |
0.127 |
(0.126) |
-0.249 |
(0.199) |
-0.317 |
(0.192) |
-0.382 |
(0.093) |
-0.509 |
(0.143) |
|
|
New Brunswick |
0.294 |
(0.038) |
0.602 |
(0.033) |
-0.387 |
(0.065) |
0.516 |
(0.027) |
0.223 |
(0.047) |
|
|
Newfoundland and Labrador |
-0.267 |
(0.161) |
-0.621 |
(0.156) |
0.096 |
(0.330) |
-0.447 |
(0.315) |
-0.179 |
(0.345) |
|
|
Nova Scotia |
0.724 |
(0.219) |
-0.041 |
(0.282) |
0.073 |
(0.184) |
0.345 |
(0.153) |
-0.379 |
(0.209) |
|
|
Ontario |
-0.105 |
(0.255) |
-0.636 |
(0.217) |
-0.829 |
(0.201) |
-0.506 |
(0.196) |
-0.401 |
(0.350) |
|
|
Prince Edward Island |
m |
m |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Québec |
0.310 |
(0.189) |
0.422 |
(0.151) |
0.408 |
(0.144) |
-0.536 |
(0.160) |
-0.846 |
(0.252) |
|
|
Saskatchewan |
0.029 |
(0.164) |
0.255 |
(0.250) |
-0.143 |
(0.130) |
-0.077 |
(0.102) |
-0.105 |
(0.189) |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
0.420 |
(0.257) |
0.516 |
(0.318) |
-0.143 |
(0.282) |
-0.938 |
(0.276) |
-1.358 |
(0.389) |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
0.253 |
(0.017) |
0.362 |
(0.025) |
0.531 |
(0.018) |
0.008 |
(0.034) |
-0.246 |
(0.038) |
|
|
Sardegna |
0.630 |
(0.282) |
0.576 |
(0.307) |
1.012 |
(0.285) |
0.459 |
(0.253) |
-0.171 |
(0.414) |
|
|
Toscana |
0.700 |
(0.212) |
0.844 |
(0.193) |
0.679 |
(0.407) |
0.472 |
(0.298) |
-0.227 |
(0.363) |
|
|
Trento |
0.075 |
(0.112) |
0.151 |
(0.070) |
-0.196 |
(0.078) |
0.572 |
(0.065) |
0.497 |
(0.142) |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
0.621 |
(0.249) |
0.761 |
(0.337) |
0.313 |
(0.356) |
0.072 |
(0.194) |
-0.549 |
(0.332) |
|
|
Aragon |
-0.018 |
(0.313) |
0.444 |
(0.399) |
0.938 |
(0.274) |
0.126 |
(0.177) |
0.144 |
(0.342) |
|
|
Asturias |
0.586 |
(0.221) |
0.308 |
(0.178) |
0.580 |
(0.251) |
0.491 |
(0.169) |
-0.095 |
(0.264) |
|
|
Balearic Islands |
0.558 |
(0.263) |
0.543 |
(0.271) |
0.603 |
(0.325) |
0.120 |
(0.391) |
-0.439 |
(0.447) |
|
|
Basque Country |
0.077 |
(0.204) |
0.373 |
(0.166) |
0.138 |
(0.198) |
-0.179 |
(0.158) |
-0.256 |
(0.256) |
|
|
Canary Islands |
0.779 |
(0.313) |
0.338 |
(0.498) |
1.192 |
(0.517) |
-0.208 |
(0.290) |
-0.987 |
(0.444) |
|
|
Cantabria |
0.684 |
(0.186) |
0.117 |
(0.222) |
0.393 |
(0.295) |
-0.154 |
(0.159) |
-0.838 |
(0.233) |
|
|
Castile and Leon |
0.447 |
(0.279) |
0.247 |
(0.297) |
0.492 |
(0.280) |
0.212 |
(0.135) |
-0.235 |
(0.329) |
|
|
Castile-La Mancha |
0.557 |
(0.184) |
0.635 |
(0.286) |
0.670 |
(0.434) |
0.433 |
(0.175) |
-0.124 |
(0.250) |
|
|
Catalonia |
0.344 |
(0.262) |
0.478 |
(0.363) |
-0.079 |
(0.399) |
-0.417 |
(0.369) |
-0.760 |
(0.452) |
|
|
Ceuta |
-0.178 |
c |
-0.111 |
(0.005) |
0.692 |
(0.000) |
0.430 |
(0.000) |
0.608 |
(0.000) |
|
|
Comunidad Valenciana |
0.172 |
(0.189) |
0.493 |
(0.281) |
0.437 |
(0.334) |
0.067 |
(0.325) |
-0.104 |
(0.427) |
|
|
Extremadura |
-0.086 |
(0.295) |
0.692 |
(0.469) |
0.175 |
(0.257) |
-0.131 |
(0.295) |
-0.045 |
(0.445) |
|
|
Galicia |
0.006 |
(0.284) |
0.266 |
(0.271) |
0.097 |
(0.226) |
-0.207 |
(0.215) |
-0.214 |
(0.354) |
|
|
La Rioja |
0.110 |
(0.016) |
0.198 |
(0.016) |
0.345 |
(0.008) |
0.021 |
(0.015) |
-0.089 |
(0.021) |
|
|
Madrid |
1.051 |
(0.203) |
0.557 |
(0.206) |
0.411 |
(0.209) |
-0.229 |
(0.156) |
-1.281 |
(0.259) |
|
|
Melilla |
m |
m |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Murcia |
0.556 |
(0.172) |
0.601 |
(0.250) |
0.298 |
(0.340) |
0.092 |
(0.268) |
-0.464 |
(0.309) |
|
|
Navarre |
0.280 |
(0.108) |
0.430 |
(0.237) |
0.370 |
(0.280) |
-0.078 |
(0.103) |
-0.358 |
(0.157) |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
England |
-0.025 |
(0.159) |
0.100 |
(0.168) |
-0.206 |
(0.163) |
-0.761 |
(0.128) |
-0.737 |
(0.220) |
|
|
Northern Ireland |
-0.609 |
(0.215) |
-0.754 |
(0.238) |
-0.502 |
(0.311) |
-0.160 |
(0.219) |
0.450 |
(0.310) |
|
|
Scotland* |
0.092 |
(0.222) |
0.380 |
(0.213) |
0.278 |
(0.165) |
-0.049 |
(0.255) |
-0.141 |
(0.339) |
|
|
Wales |
0.179 |
(0.276) |
-0.141 |
(0.248) |
-0.011 |
(0.182) |
-0.151 |
(0.189) |
-0.331 |
(0.341) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.13 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.18 [4/6]. Variation in Principals’ views on staff shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on staff shortage, by schools’ socio-economic profile3 |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bottom quarter |
Second quarter |
Third quarter |
Top quarter |
Top - bottom quarter |
|||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
CABA* |
0.405 |
(0.204) |
0.223 |
(0.226) |
-0.526 |
(0.294) |
-0.864 |
(0.175) |
-1.269 |
(0.261) |
|
|
Cordoba* |
-0.003 |
(0.211) |
0.367 |
(0.288) |
-0.487 |
(0.320) |
-0.609 |
(0.216) |
-0.605 |
(0.301) |
|
|
PBA* |
-0.049 |
(0.241) |
-0.015 |
(0.251) |
-0.121 |
(0.298) |
-0.816 |
(0.279) |
-0.767 |
(0.366) |
|
|
Tucuman* |
0.143 |
(0.301) |
0.407 |
(0.325) |
0.057 |
(0.204) |
-0.720 |
(0.206) |
-0.863 |
(0.350) |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
North |
-0.040 |
(0.382) |
-0.684 |
(0.433) |
-0.650 |
(0.540) |
-1.455 |
(0.177) |
-1.415 |
(0.409) |
|
|
Northeast |
0.239 |
(0.250) |
-0.317 |
(0.246) |
0.074 |
(0.247) |
-1.085 |
(0.210) |
-1.324 |
(0.296) |
|
|
South |
-0.303 |
(0.403) |
0.006 |
(0.280) |
-0.165 |
(0.403) |
-1.207 |
(0.182) |
-0.904 |
(0.447) |
|
|
Southeast |
0.193 |
(0.136) |
0.421 |
(0.189) |
-0.069 |
(0.282) |
-0.646 |
(0.266) |
-0.839 |
(0.295) |
|
|
Middle-West |
-0.565 |
(0.469) |
0.128 |
(0.631) |
0.587 |
(0.686) |
-0.745 |
(0.481) |
-0.180 |
(0.651) |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
0.374 |
(0.281) |
-0.081 |
(0.418) |
0.470 |
(0.348) |
-0.053 |
(0.376) |
-0.427 |
(0.415) |
|
|
DKI Jakarta |
0.604 |
(0.171) |
0.190 |
(0.261) |
0.031 |
(0.338) |
-0.647 |
(0.400) |
-1.250 |
(0.435) |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
-0.546 |
(0.347) |
-0.423 |
(0.508) |
-0.399 |
(0.566) |
-0.950 |
(0.443) |
-0.404 |
(0.570) |
|
|
Aktobe region |
-0.187 |
(0.359) |
0.320 |
(0.896) |
-0.635 |
(0.822) |
-0.599 |
(0.733) |
-0.412 |
(0.880) |
|
|
Almaty |
-1.061 |
(0.489) |
-0.915 |
(0.433) |
-0.884 |
(0.460) |
-0.718 |
(0.767) |
0.344 |
(0.834) |
|
|
Almaty region |
-0.637 |
(0.272) |
-1.131 |
(0.453) |
-0.132 |
(0.393) |
-0.670 |
(0.188) |
-0.032 |
(0.338) |
|
|
Astana |
0.273 |
(0.366) |
0.317 |
(0.928) |
-0.405 |
(0.833) |
-0.746 |
(0.331) |
-1.018 |
(0.508) |
|
|
Atyrau region |
-0.569 |
(0.227) |
-0.485 |
(0.580) |
-0.046 |
(0.525) |
-0.423 |
(0.767) |
0.147 |
(0.733) |
|
|
East-Kazakhstan region |
-0.653 |
(0.312) |
-0.659 |
(0.517) |
-0.387 |
(0.333) |
-0.763 |
(0.403) |
-0.110 |
(0.544) |
|
|
Karagandy region |
-0.522 |
(0.397) |
-0.945 |
(1.084) |
1.428 |
(0.826) |
0.454 |
(0.247) |
0.976 |
(0.461) |
|
|
Kostanay region |
-0.004 |
(0.407) |
-0.769 |
(0.830) |
-0.214 |
(0.756) |
-0.562 |
(0.653) |
-0.559 |
(0.805) |
|
|
Kyzyl-Orda region |
-0.797 |
(0.324) |
-0.767 |
(0.420) |
-0.754 |
(0.586) |
-0.594 |
(0.503) |
0.203 |
(0.671) |
|
|
Mangistau region |
-0.096 |
(0.586) |
0.923 |
(1.019) |
-0.698 |
(0.670) |
-0.674 |
(0.368) |
-0.578 |
(0.693) |
|
|
North-Kazakhstan region |
-0.192 |
(0.283) |
-0.648 |
(0.553) |
-0.472 |
(0.341) |
-0.640 |
(0.165) |
-0.448 |
(0.307) |
|
|
Pavlodar region |
-0.687 |
(0.351) |
-0.645 |
(0.515) |
-1.095 |
(0.590) |
-0.394 |
(0.429) |
0.294 |
(0.517) |
|
|
South-Kazakhstan region |
0.604 |
(0.706) |
-0.789 |
(0.603) |
-0.340 |
(0.554) |
-0.673 |
(0.472) |
-1.278 |
(0.735) |
|
|
West-Kazakhstan region |
-0.708 |
(0.233) |
-0.896 |
(0.374) |
-0.899 |
(0.436) |
-0.983 |
(0.181) |
-0.275 |
(0.285) |
|
|
Zhambyl region |
-0.648 |
(0.321) |
0.380 |
(0.976) |
-0.455 |
(0.578) |
-0.056 |
(0.861) |
0.592 |
(0.894) |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
-0.391 |
(0.284) |
-0.364 |
(0.246) |
-0.731 |
(0.272) |
-0.172 |
(0.236) |
0.218 |
(0.368) |
|
|
Republic of Tatarstan* |
-0.130 |
(0.136) |
-0.028 |
(0.175) |
-0.139 |
(0.173) |
0.060 |
(0.197) |
0.190 |
(0.248) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.13 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.18 [5/6]. Variation in Principals’ views on staff shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on staff shortage, by type of school |
||||||||
|---|---|---|---|---|---|---|---|---|---|
|
Public |
Private government-dependent |
Private independent |
Private-Public4 |
||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
Flemish Community* |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
French Community |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
German-speaking Community |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
Alberta |
-0.255 |
(0.115) |
m |
m |
m |
m |
m |
m |
|
|
British Columbia |
0.099 |
(0.096) |
-0.043 |
(0.427) |
m |
m |
-0.142 |
(0.441) |
|
|
Manitoba |
-0.170 |
(0.056) |
-0.578 |
(0.219) |
m |
m |
-0.408 |
(0.227) |
|
|
New Brunswick |
0.268 |
(0.019) |
m |
m |
m |
m |
m |
m |
|
|
Newfoundland and Labrador |
-0.202 |
(0.041) |
m |
m |
m |
m |
m |
m |
|
|
Nova Scotia |
0.270 |
(0.068) |
m |
m |
m |
m |
m |
m |
|
|
Ontario |
-0.509 |
(0.099) |
m |
m |
-0.979 |
(0.137) |
-0.469 |
(0.174) |
|
|
Prince Edward Island |
1.145 |
(0.145) |
m |
m |
m |
m |
m |
m |
|
|
Québec |
0.396 |
(0.082) |
-0.726 |
(0.234) |
-0.554 |
(0.221) |
-1.014 |
(0.159) |
|
|
Saskatchewan |
0.050 |
(0.068) |
m |
m |
m |
m |
m |
m |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
Bogotá |
0.551 |
(0.160) |
m |
m |
-0.880 |
(0.170) |
-1.431 |
(0.233) |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
Bolzano |
0.310 |
(0.012) |
-0.110 |
(0.044) |
m |
m |
-0.420 |
(0.046) |
|
|
Sardegna |
0.690 |
(0.095) |
m |
m |
m |
m |
m |
m |
|
|
Toscana |
0.675 |
(0.107) |
m |
m |
m |
m |
m |
m |
|
|
Trento |
0.301 |
(0.030) |
-0.319 |
(0.122) |
m |
m |
-0.620 |
(0.130) |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
Andalusia |
0.527 |
(0.133) |
0.211 |
(0.145) |
m |
m |
-0.316 |
(0.198) |
|
|
Aragon |
0.352 |
(0.184) |
0.490 |
(0.172) |
m |
m |
0.138 |
(0.252) |
|
|
Asturias |
0.502 |
(0.117) |
0.468 |
(0.127) |
m |
m |
-0.033 |
(0.179) |
|
|
Balearic Islands |
0.641 |
(0.132) |
-0.104 |
(0.279) |
0.633 |
(0.110) |
-0.545 |
(0.241) |
|
|
Basque Country |
0.125 |
(0.127) |
0.070 |
(0.088) |
m |
m |
-0.055 |
(0.155) |
|
|
Canary Islands |
0.780 |
(0.177) |
0.048 |
(0.436) |
-0.446 |
(0.342) |
-0.989 |
(0.322) |
|
|
Cantabria |
0.482 |
(0.108) |
-0.359 |
(0.195) |
m |
m |
-0.841 |
(0.219) |
|
|
Castile and Leon |
0.482 |
(0.136) |
0.012 |
(0.130) |
m |
m |
-0.470 |
(0.189) |
|
|
Castile-La Mancha |
0.658 |
(0.155) |
0.312 |
(0.171) |
m |
m |
-0.346 |
(0.230) |
|
|
Catalonia |
0.357 |
(0.198) |
-0.376 |
(0.285) |
m |
m |
-0.733 |
(0.347) |
|
|
Ceuta |
m |
m |
0.127 |
(0.012) |
m |
m |
m |
m |
|
|
Comunidad Valenciana |
0.417 |
(0.112) |
0.165 |
(0.259) |
-0.186 |
(0.376) |
-0.344 |
(0.246) |
|
|
Extremadura |
0.011 |
(0.212) |
0.902 |
(0.102) |
m |
m |
0.891 |
(0.234) |
|
|
Galicia |
0.178 |
(0.142) |
-0.282 |
(0.137) |
m |
m |
-0.460 |
(0.198) |
|
|
La Rioja |
0.270 |
(0.007) |
0.043 |
(0.011) |
m |
m |
-0.227 |
(0.013) |
|
|
Madrid |
0.869 |
(0.120) |
0.230 |
(0.171) |
-0.496 |
(0.176) |
-0.934 |
(0.183) |
|
|
Melilla |
0.726 |
(0.016) |
m |
m |
m |
m |
m |
m |
|
|
Murcia |
0.469 |
(0.145) |
0.170 |
(0.142) |
m |
m |
-0.299 |
(0.204) |
|
|
Navarre |
0.324 |
(0.105) |
0.033 |
(0.138) |
m |
m |
-0.291 |
(0.177) |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
England |
-0.087 |
(0.115) |
-0.112 |
(0.088) |
-1.342 |
(0.114) |
-0.204 |
(0.136) |
|
|
Northern Ireland |
-0.501 |
(0.101) |
-0.477 |
(0.509) |
m |
m |
0.024 |
(0.548) |
|
|
Scotland* |
0.215 |
(0.095) |
m |
m |
m |
m |
m |
m |
|
|
Wales |
-0.040 |
(0.088) |
m |
m |
-0.775 |
(0.409) |
-0.736 |
(0.418) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.13 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.18 [6/6]. Variation in Principals’ views on staff shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on staff shortage, by type of school |
||||||||
|---|---|---|---|---|---|---|---|---|---|
|
Public |
Private government-dependent |
Private independent |
Private-Public4 |
||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
CABA* |
0.386 |
(0.170) |
-0.578 |
(0.171) |
-1.276 |
(0.119) |
-1.255 |
(0.222) |
|
|
Cordoba* |
0.235 |
(0.173) |
-0.435 |
(0.269) |
-1.051 |
(0.233) |
-0.893 |
(0.247) |
|
|
PBA* |
0.102 |
(0.100) |
-0.802 |
(0.224) |
-0.864 |
(0.496) |
-0.920 |
(0.259) |
|
|
Tucuman* |
0.222 |
(0.136) |
-0.657 |
(0.199) |
m |
m |
-0.879 |
(0.232) |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
North |
-0.331 |
(0.204) |
m |
m |
-1.455 |
c |
-1.124 |
(0.204) |
|
|
Northeast |
-0.065 |
(0.108) |
m |
m |
-1.203 |
(0.141) |
-1.138 |
(0.189) |
|
|
South |
-0.238 |
(0.182) |
m |
m |
-1.298 |
(0.138) |
-1.059 |
(0.226) |
|
|
Southeast |
0.205 |
(0.081) |
m |
m |
-0.917 |
(0.263) |
-1.121 |
(0.276) |
|
|
Middle-West |
0.048 |
(0.253) |
m |
m |
-1.061 |
(0.358) |
-1.109 |
(0.444) |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
0.274 |
(0.189) |
0.319 |
(0.430) |
-0.018 |
(0.358) |
-0.077 |
(0.335) |
|
|
DKI Jakarta |
-0.086 |
(0.174) |
m |
m |
0.478 |
(0.227) |
0.564 |
(0.287) |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
Akmola region |
-0.559 |
(0.173) |
m |
m |
m |
m |
m |
m |
|
|
Aktobe region |
-0.287 |
(0.202) |
m |
m |
m |
m |
m |
m |
|
|
Almaty |
-0.769 |
(0.188) |
m |
m |
m |
m |
m |
m |
|
|
Almaty region |
-0.642 |
(0.113) |
m |
m |
m |
m |
m |
m |
|
|
Astana |
-0.075 |
(0.254) |
m |
m |
m |
m |
m |
m |
|
|
Atyrau region |
-0.322 |
(0.204) |
m |
m |
m |
m |
m |
m |
|
|
East-Kazakhstan region |
-0.597 |
(0.162) |
m |
m |
m |
m |
m |
m |
|
|
Karagandy region |
-0.079 |
(0.287) |
m |
m |
m |
m |
m |
m |
|
|
Kostanay region |
-0.376 |
(0.236) |
m |
m |
m |
m |
m |
m |
|
|
Kyzyl-Orda region |
-0.721 |
(0.163) |
m |
m |
m |
m |
m |
m |
|
|
Mangistau region |
-0.231 |
(0.231) |
m |
m |
m |
m |
m |
m |
|
|
North-Kazakhstan region |
-0.485 |
(0.133) |
m |
m |
m |
m |
m |
m |
|
|
Pavlodar region |
-0.721 |
(0.172) |
m |
m |
m |
m |
m |
m |
|
|
South-Kazakhstan region |
-0.240 |
(0.238) |
m |
m |
m |
m |
m |
m |
|
|
West-Kazakhstan region |
-0.869 |
(0.110) |
m |
m |
m |
m |
m |
m |
|
|
Zhambyl region |
-0.192 |
(0.290) |
m |
m |
m |
m |
m |
m |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
Moscow region* |
-0.419 |
(0.107) |
m |
m |
m |
m |
m |
m |
|
|
Republic of Tatarstan* |
-0.060 |
(0.082) |
m |
m |
m |
m |
m |
m |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.13 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.19 [1/6]. Variation in Principals’ views on material shortage, by school characteristics
Results based on school principals’ reports
|
|
All schools1 |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Sample size |
Coverage2 |
Average index of principals' views on material shortage |
Percentiles of index of principals’ views on material shortage |
Variability in index of principals’ views on material shortage across schools |
|||||||||
|
Inter-decile range |
|||||||||||||
|
Number of schools |
% |
Mean Index |
S.E. |
10th |
S.E. |
Median (50th) |
S.E. |
90th |
S.E. |
I.D.R. |
S.E. |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
150 |
91.7 |
-0.240 |
(0.066) |
-1.421 |
c |
-0.281 |
(0.034) |
0.757 |
(0.150) |
2.178 |
(0.150) |
|
|
French Community |
89 |
86.5 |
0.356 |
(0.101) |
-1.421 |
(0.938) |
0.268 |
(0.223) |
1.525 |
(0.338) |
2.946 |
(1.011) |
|
|
German-speaking Community |
9 |
98.9 |
-0.362 |
(0.012) |
-1.421 |
c |
0.100 |
(0.121) |
0.757 |
c |
2.178 |
c |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
79 |
96.6 |
-0.705 |
(0.098) |
-1.421 |
c |
-1.421 |
(0.249) |
0.470 |
(0.032) |
1.891 |
(0.032) |
|
|
British Columbia |
80 |
96.7 |
-0.321 |
(0.089) |
-1.421 |
c |
-0.238 |
(0.081) |
0.500 |
(0.354) |
1.921 |
(0.354) |
|
|
Manitoba |
92 |
98.6 |
-0.789 |
(0.044) |
-1.421 |
c |
-0.943 |
(0.002) |
0.108 |
(0.208) |
1.529 |
(0.208) |
|
|
New Brunswick |
53 |
100.0 |
0.038 |
(0.054) |
-1.421 |
c |
0.100 |
(0.033) |
1.028 |
(0.001) |
2.450 |
(0.001) |
|
|
Newfoundland and Labrador |
46 |
99.8 |
-0.787 |
(0.056) |
-1.421 |
c |
-1.421 |
(0.000) |
0.142 |
(0.134) |
1.564 |
(0.134) |
|
|
Nova Scotia |
51 |
91.5 |
-0.246 |
(0.062) |
-1.421 |
c |
-0.238 |
c |
0.834 |
(0.241) |
2.255 |
(0.241) |
|
|
Ontario |
143 |
98.9 |
-0.670 |
(0.089) |
-1.421 |
c |
-0.688 |
(0.232) |
0.265 |
(0.225) |
1.686 |
(0.225) |
|
|
Prince Edward Island |
8 |
63.9 |
0.407 |
(0.119) |
0.069 |
(0.247) |
0.100 |
c |
1.248 |
(0.340) |
1.179 |
(0.420) |
|
|
Québec |
132 |
91.8 |
-0.405 |
(0.075) |
-1.421 |
c |
-0.487 |
(0.130) |
0.630 |
(0.178) |
2.051 |
(0.178) |
|
|
Saskatchewan |
86 |
97.5 |
-0.502 |
(0.052) |
-1.421 |
c |
-0.648 |
(0.052) |
0.500 |
(0.025) |
1.921 |
(0.025) |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
58 |
100.0 |
0.124 |
(0.121) |
-1.421 |
(0.000) |
0.111 |
(0.091) |
1.533 |
(0.213) |
2.954 |
(0.213) |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
81 |
99.7 |
-0.073 |
(0.016) |
-1.421 |
c |
0.100 |
c |
0.834 |
(0.002) |
2.255 |
(0.002) |
|
|
Sardegna |
69 |
96.1 |
0.738 |
(0.095) |
-0.312 |
(0.348) |
0.633 |
(0.160) |
1.774 |
(0.338) |
2.086 |
(0.496) |
|
|
Toscana |
68 |
96.2 |
0.508 |
(0.090) |
-0.684 |
(0.556) |
0.429 |
(0.009) |
1.474 |
(0.289) |
2.159 |
(0.509) |
|
|
Trento |
55 |
98.3 |
-0.435 |
(0.030) |
-1.421 |
c |
-0.445 |
(0.239) |
0.265 |
(0.200) |
1.686 |
(0.200) |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
51 |
96.5 |
0.509 |
(0.167) |
-1.421 |
(0.755) |
0.459 |
(0.224) |
1.932 |
(0.252) |
3.353 |
(0.803) |
|
|
Aragon |
51 |
99.3 |
0.058 |
(0.163) |
-1.421 |
c |
0.057 |
(0.161) |
1.686 |
(0.295) |
3.108 |
(0.295) |
|
|
Asturias |
54 |
97.9 |
0.099 |
(0.106) |
-1.421 |
(0.513) |
-0.238 |
(0.400) |
1.686 |
(0.157) |
3.108 |
(0.545) |
|
|
Balearic Islands |
51 |
97.6 |
0.293 |
(0.117) |
-1.421 |
(0.348) |
0.399 |
(0.209) |
1.686 |
(0.353) |
3.108 |
(0.534) |
|
|
Basque Country |
123 |
96.3 |
-0.082 |
(0.092) |
-1.421 |
(0.000) |
0.069 |
(0.175) |
1.244 |
(0.319) |
2.665 |
(0.319) |
|
|
Canary Islands |
51 |
93.8 |
0.464 |
(0.152) |
-1.421 |
(0.653) |
0.429 |
(0.109) |
1.918 |
(0.281) |
3.340 |
(0.822) |
|
|
Cantabria |
52 |
94.7 |
-0.157 |
(0.090) |
-1.421 |
(0.000) |
-0.102 |
(0.293) |
0.757 |
(0.078) |
2.178 |
(0.078) |
|
|
Castile and Leon |
58 |
98.3 |
0.047 |
(0.126) |
-1.421 |
(0.000) |
-0.113 |
(0.243) |
1.248 |
(0.080) |
2.669 |
(0.080) |
|
|
Castile-La Mancha |
53 |
100.0 |
1.023 |
(0.148) |
-0.634 |
(0.340) |
1.205 |
(0.153) |
2.461 |
(0.710) |
3.096 |
(0.793) |
|
|
Catalonia |
47 |
93.3 |
0.018 |
(0.163) |
-1.421 |
c |
0.100 |
(0.095) |
1.737 |
(0.409) |
3.158 |
(0.409) |
|
|
Ceuta |
10 |
71.5 |
0.364 |
(0.035) |
-1.421 |
c |
0.265 |
c |
2.960 |
c |
4.381 |
c |
|
|
Comunidad Valenciana |
52 |
99.6 |
0.153 |
(0.120) |
-1.421 |
(0.366) |
0.026 |
(0.168) |
1.529 |
(0.324) |
2.950 |
(0.462) |
|
|
Extremadura |
52 |
96.1 |
0.103 |
(0.173) |
-1.421 |
(0.690) |
0.057 |
(0.337) |
1.686 |
(0.578) |
3.108 |
(1.071) |
|
|
Galicia |
57 |
95.3 |
-0.015 |
(0.117) |
-1.421 |
(0.000) |
0.057 |
(0.158) |
1.248 |
(0.113) |
2.669 |
(0.113) |
|
|
La Rioja |
44 |
98.4 |
-0.104 |
(0.009) |
-1.421 |
(0.000) |
-0.067 |
c |
1.248 |
c |
2.669 |
(0.000) |
|
|
Madrid |
134 |
95.9 |
0.013 |
(0.089) |
-1.421 |
(0.000) |
0.100 |
(0.156) |
1.252 |
(0.106) |
2.673 |
(0.106) |
|
|
Melilla |
8 |
100.0 |
0.726 |
(0.026) |
-0.688 |
c |
0.757 |
(0.038) |
2.128 |
c |
2.817 |
c |
|
|
Murcia |
52 |
100.0 |
0.339 |
(0.116) |
-1.421 |
(0.502) |
0.307 |
(0.213) |
1.970 |
(0.374) |
3.391 |
(0.684) |
|
|
Navarre |
49 |
100.0 |
-0.114 |
(0.105) |
-1.421 |
(0.000) |
0.100 |
(0.338) |
1.307 |
(0.143) |
2.728 |
(0.143) |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
England |
132 |
76.1 |
-0.088 |
(0.082) |
-1.421 |
c |
-0.067 |
(0.201) |
1.248 |
(0.201) |
2.669 |
(0.201) |
|
|
Northern Ireland |
68 |
86.0 |
0.209 |
(0.129) |
-1.421 |
(0.433) |
0.100 |
(0.017) |
1.686 |
(0.665) |
3.108 |
(0.808) |
|
|
Scotland* |
83 |
75.0 |
-0.267 |
(0.101) |
-1.421 |
c |
-0.238 |
(0.058) |
0.987 |
(0.371) |
2.408 |
(0.371) |
|
|
Wales |
100 |
93.0 |
0.381 |
(0.082) |
-1.421 |
(0.593) |
0.299 |
(0.151) |
1.770 |
(0.229) |
3.191 |
(0.659) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.14 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution.
Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.19 [2/6]. Variation in Principals’ views on material shortage, by school characteristics
Results based on school principals’ reports
|
|
All schools1 |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Sample size |
Coverage2 |
Average index of principals' views on material shortage |
Percentiles of index of principals’ views on material shortage |
Variability in index of principals’ views on material shortage across schools |
|||||||||
|
Inter-decile range |
|||||||||||||
|
Number of schools |
% |
Mean Index |
S.E. |
10th |
S.E. |
Median (50th) |
S.E. |
90th |
S.E. |
I.D.R. |
S.E. |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
|
|
CABA* |
75 |
93.2 |
-0.083 |
(0.130) |
-1.421 |
c |
-0.226 |
(0.236) |
1.686 |
(0.489) |
3.108 |
(0.489) |
|
|
Cordoba* |
80 |
96.2 |
0.134 |
(0.115) |
-1.421 |
c |
0.131 |
(0.138) |
1.474 |
(0.321) |
2.896 |
(0.321) |
|
|
PBA* |
83 |
94.3 |
0.472 |
(0.146) |
-1.421 |
c |
0.757 |
(0.286) |
2.143 |
(0.095) |
3.564 |
(0.095) |
|
|
Tucuman* |
83 |
96.6 |
0.160 |
(0.109) |
-1.421 |
c |
0.276 |
(0.149) |
1.291 |
(0.296) |
2.712 |
(0.296) |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
North |
35 |
72.4 |
0.242 |
(0.202) |
-1.421 |
c |
0.142 |
(0.466) |
1.686 |
(0.133) |
3.108 |
(0.133) |
|
|
Northeast |
113 |
65.8 |
0.217 |
(0.114) |
-1.421 |
c |
0.265 |
(0.257) |
1.686 |
(0.019) |
3.108 |
(0.019) |
|
|
South |
62 |
80.4 |
0.061 |
(0.149) |
-1.421 |
c |
0.100 |
(0.086) |
1.529 |
(0.237) |
2.950 |
(0.237) |
|
|
Southeast |
171 |
82.8 |
-0.288 |
(0.079) |
-1.421 |
c |
-0.484 |
(0.227) |
1.248 |
(0.035) |
2.669 |
(0.035) |
|
|
Middle-West |
36 |
87.2 |
0.014 |
(0.240) |
-1.421 |
c |
0.057 |
(0.174) |
1.529 |
(0.461) |
2.950 |
(0.461) |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
49 |
81.7 |
0.585 |
(0.171) |
-0.943 |
(0.427) |
0.429 |
(0.179) |
2.186 |
(0.855) |
3.129 |
(0.947) |
|
|
DKI Jakarta |
49 |
84.0 |
-0.014 |
(0.174) |
-1.421 |
(0.000) |
-0.067 |
(0.185) |
1.686 |
(0.410) |
3.108 |
(0.410) |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
44 |
87.1 |
0.278 |
(0.203) |
-1.421 |
(0.212) |
0.268 |
(0.328) |
1.737 |
(0.665) |
3.158 |
(0.670) |
|
|
Aktobe region |
32 |
78.6 |
0.690 |
(0.147) |
-0.281 |
(0.056) |
0.789 |
(0.150) |
2.143 |
(0.590) |
2.424 |
(0.578) |
|
|
Almaty |
21 |
71.2 |
-0.727 |
(0.185) |
-1.421 |
(0.000) |
-1.421 |
(0.575) |
0.630 |
(1.072) |
2.051 |
(1.072) |
|
|
Almaty region |
31 |
86.5 |
0.194 |
(0.167) |
-1.421 |
(0.000) |
0.429 |
(0.236) |
1.478 |
(0.462) |
2.900 |
(0.462) |
|
|
Astana |
24 |
81.5 |
0.415 |
(0.232) |
-1.421 |
(0.855) |
0.459 |
(0.142) |
1.248 |
(0.934) |
2.669 |
(0.815) |
|
|
Atyrau region |
26 |
75.3 |
-0.028 |
(0.163) |
-1.421 |
(0.230) |
0.072 |
(0.143) |
1.248 |
(0.529) |
2.669 |
(0.577) |
|
|
East-Kazakhstan region |
37 |
82.8 |
0.395 |
(0.212) |
-0.688 |
(0.733) |
0.500 |
(0.438) |
1.727 |
(0.483) |
2.416 |
(0.774) |
|
|
Karagandy region |
28 |
72.1 |
0.179 |
(0.206) |
-1.421 |
(0.000) |
0.500 |
(0.215) |
1.248 |
(0.455) |
2.669 |
(0.455) |
|
|
Kostanay region |
40 |
85.8 |
0.496 |
(0.206) |
-1.421 |
c |
0.789 |
(0.295) |
1.686 |
(0.430) |
3.108 |
(0.430) |
|
|
Kyzyl-Orda region |
27 |
70.9 |
0.254 |
(0.211) |
-1.421 |
c |
0.500 |
(0.136) |
1.478 |
(0.000) |
2.900 |
(0.000) |
|
|
Mangistau region |
22 |
78.7 |
-0.118 |
(0.265) |
-1.421 |
c |
0.057 |
(0.681) |
1.248 |
(0.219) |
2.669 |
(0.219) |
|
|
North-Kazakhstan region |
54 |
86.2 |
0.581 |
(0.159) |
-0.688 |
(0.524) |
0.467 |
(0.267) |
1.936 |
(0.720) |
2.624 |
(0.837) |
|
|
Pavlodar region |
35 |
86.8 |
-0.292 |
(0.134) |
-1.421 |
(0.000) |
-0.269 |
(0.148) |
0.834 |
(0.492) |
2.255 |
(0.492) |
|
|
South-Kazakhstan region |
32 |
83.7 |
0.388 |
(0.231) |
-0.943 |
(0.632) |
0.103 |
(0.774) |
1.932 |
(0.380) |
2.875 |
(0.720) |
|
|
West-Kazakhstan region |
35 |
78.9 |
-0.047 |
(0.149) |
-1.421 |
(0.928) |
-0.226 |
(0.430) |
0.831 |
(0.542) |
2.252 |
(0.986) |
|
|
Zhambyl region |
28 |
80.0 |
0.433 |
(0.188) |
-1.421 |
(0.423) |
0.440 |
(0.185) |
1.574 |
(0.890) |
2.995 |
(0.917) |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
59 |
98.3 |
-0.175 |
(0.113) |
-1.421 |
(0.000) |
-0.141 |
(0.222) |
1.205 |
(0.388) |
2.626 |
(0.388) |
|
|
Republic of Tatarstan* |
232 |
98.7 |
0.442 |
(0.081) |
-1.421 |
(0.629) |
0.470 |
(0.040) |
1.970 |
(0.261) |
3.391 |
(0.650) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.14 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.19 [3/6]. Variation in Principals’ views on material shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on material shortage, by schools’ socio-economic profile3 |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bottom quarter |
Second quarter |
Third quarter |
Top quarter |
Top - bottom quarter |
|||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
|
|
Flemish Community* |
-0.110 |
(0.140) |
-0.220 |
(0.161) |
-0.343 |
(0.149) |
-0.292 |
(0.153) |
-0.183 |
(0.199) |
|
|
French Community |
0.690 |
(0.193) |
0.300 |
(0.172) |
0.433 |
(0.275) |
-0.002 |
(0.260) |
-0.692 |
(0.347) |
|
|
German-speaking Community |
m |
m |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
|
|
Alberta |
-0.824 |
(0.212) |
-0.972 |
(0.160) |
-0.643 |
(0.295) |
-0.355 |
(0.322) |
0.469 |
(0.411) |
|
|
British Columbia |
-0.071 |
(0.267) |
-0.323 |
(0.292) |
-0.438 |
(0.273) |
-0.465 |
(0.153) |
-0.394 |
(0.302) |
|
|
Manitoba |
-0.952 |
(0.115) |
-0.823 |
(0.135) |
-0.737 |
(0.145) |
-0.634 |
(0.109) |
0.317 |
(0.171) |
|
|
New Brunswick |
0.300 |
(0.153) |
0.289 |
(0.131) |
-0.409 |
(0.049) |
-0.057 |
(0.037) |
-0.357 |
(0.157) |
|
|
Newfoundland and Labrador |
-0.675 |
(0.132) |
-1.173 |
(0.161) |
-0.703 |
(0.201) |
-0.867 |
(0.103) |
-0.192 |
(0.138) |
|
|
Nova Scotia |
-0.148 |
(0.165) |
-0.217 |
(0.160) |
-0.061 |
(0.121) |
-0.580 |
(0.015) |
-0.433 |
(0.166) |
|
|
Ontario |
-0.233 |
(0.285) |
-0.879 |
(0.192) |
-0.809 |
(0.189) |
-0.751 |
(0.141) |
-0.518 |
(0.314) |
|
|
Prince Edward Island |
m |
m |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Québec |
-0.446 |
(0.178) |
-0.246 |
(0.194) |
-0.109 |
(0.194) |
-0.817 |
(0.120) |
-0.371 |
(0.220) |
|
|
Saskatchewan |
-0.369 |
(0.193) |
-0.322 |
(0.200) |
-0.873 |
(0.092) |
-0.459 |
(0.081) |
-0.090 |
(0.205) |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
|
|
Bogotá |
0.829 |
(0.194) |
0.508 |
(0.346) |
-0.008 |
(0.394) |
-0.905 |
(0.309) |
-1.734 |
(0.377) |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
|
|
Bolzano |
-0.317 |
(0.026) |
0.059 |
(0.027) |
-0.129 |
(0.033) |
0.130 |
(0.042) |
0.447 |
(0.049) |
|
|
Sardegna |
0.723 |
(0.272) |
0.682 |
(0.197) |
0.864 |
(0.414) |
0.627 |
(0.291) |
-0.096 |
(0.391) |
|
|
Toscana |
0.219 |
(0.186) |
0.773 |
(0.230) |
0.846 |
(0.285) |
0.229 |
(0.095) |
0.010 |
(0.206) |
|
|
Trento |
-0.381 |
(0.103) |
-0.544 |
(0.077) |
-0.472 |
(0.060) |
-0.378 |
(0.022) |
0.003 |
(0.104) |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
|
|
Andalusia |
0.700 |
(0.279) |
1.155 |
(0.432) |
0.008 |
(0.409) |
0.105 |
(0.277) |
-0.595 |
(0.326) |
|
|
Aragon |
-0.264 |
(0.414) |
0.374 |
(0.298) |
0.450 |
(0.540) |
-0.404 |
(0.304) |
-0.139 |
(0.517) |
|
|
Asturias |
0.411 |
(0.246) |
-0.127 |
(0.266) |
0.441 |
(0.375) |
-0.238 |
(0.228) |
-0.649 |
(0.327) |
|
|
Balearic Islands |
0.135 |
(0.332) |
0.238 |
(0.291) |
0.641 |
(0.429) |
0.128 |
(0.394) |
-0.007 |
(0.532) |
|
|
Basque Country |
0.208 |
(0.285) |
0.366 |
(0.304) |
-0.319 |
(0.263) |
-0.599 |
(0.164) |
-0.807 |
(0.325) |
|
|
Canary Islands |
0.616 |
(0.361) |
0.413 |
(0.421) |
0.956 |
(0.370) |
-0.169 |
(0.381) |
-0.785 |
(0.516) |
|
|
Cantabria |
0.048 |
(0.289) |
-0.005 |
(0.334) |
-0.343 |
(0.235) |
-0.354 |
(0.266) |
-0.402 |
(0.388) |
|
|
Castile and Leon |
0.325 |
(0.296) |
-0.244 |
(0.501) |
0.471 |
(0.440) |
-0.372 |
(0.295) |
-0.697 |
(0.417) |
|
|
Castile-La Mancha |
1.181 |
(0.238) |
1.250 |
(0.418) |
0.875 |
(0.400) |
0.764 |
(0.367) |
-0.416 |
(0.449) |
|
|
Catalonia |
0.338 |
(0.344) |
0.270 |
(0.518) |
-0.053 |
(0.380) |
-0.548 |
(0.323) |
-0.886 |
(0.482) |
|
|
Ceuta |
-1.421 |
(0.000) |
-0.614 |
(0.057) |
1.973 |
c |
1.248 |
c |
2.669 |
c |
|
|
Comunidad Valenciana |
0.477 |
(0.253) |
0.152 |
(0.556) |
0.327 |
(0.455) |
-0.372 |
(0.279) |
-0.848 |
(0.363) |
|
|
Extremadura |
-0.056 |
(0.286) |
0.374 |
(0.406) |
0.427 |
(0.428) |
-0.370 |
(0.246) |
-0.314 |
(0.338) |
|
|
Galicia |
-0.059 |
(0.312) |
0.272 |
(0.366) |
0.053 |
(0.287) |
-0.361 |
(0.265) |
-0.302 |
(0.410) |
|
|
La Rioja |
0.294 |
(0.016) |
-0.463 |
(0.037) |
0.163 |
(0.015) |
-0.422 |
(0.018) |
-0.716 |
(0.024) |
|
|
Madrid |
0.524 |
(0.218) |
0.268 |
(0.183) |
-0.124 |
(0.207) |
-0.657 |
(0.139) |
-1.181 |
(0.256) |
|
|
Melilla |
m |
m |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Murcia |
0.577 |
(0.329) |
0.319 |
(0.343) |
0.229 |
(0.315) |
0.217 |
(0.337) |
-0.360 |
(0.466) |
|
|
Navarre |
0.146 |
(0.198) |
0.031 |
(0.254) |
-0.127 |
(0.313) |
-0.504 |
(0.161) |
-0.650 |
(0.251) |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
|
|
England |
0.082 |
(0.152) |
0.107 |
(0.227) |
0.082 |
(0.195) |
-0.598 |
(0.166) |
-0.680 |
(0.215) |
|
|
Northern Ireland |
0.297 |
(0.258) |
-0.107 |
(0.344) |
0.138 |
(0.408) |
0.510 |
(0.350) |
0.213 |
(0.471) |
|
|
Scotland* |
-0.610 |
(0.230) |
-0.139 |
(0.278) |
-0.087 |
(0.216) |
-0.218 |
(0.217) |
0.393 |
(0.330) |
|
|
Wales |
0.634 |
(0.259) |
-0.010 |
(0.229) |
0.526 |
(0.207) |
0.381 |
(0.176) |
-0.252 |
(0.357) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.14 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.19 [4/6]. Variation in Principals’ views on material shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on material shortage, by schools’ socio-economic profile3 |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bottom quarter |
Second quarter |
Third quarter |
Top quarter |
Top - bottom quarter |
|||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
|
|
CABA* |
0.557 |
(0.370) |
0.407 |
(0.370) |
-0.422 |
(0.249) |
-0.930 |
(0.192) |
-1.487 |
(0.428) |
|
|
Cordoba* |
0.673 |
(0.231) |
0.126 |
(0.245) |
-0.068 |
(0.301) |
-0.192 |
(0.328) |
-0.864 |
(0.407) |
|
|
PBA* |
1.464 |
(0.257) |
0.779 |
(0.305) |
0.550 |
(0.518) |
-0.929 |
(0.290) |
-2.393 |
(0.387) |
|
|
Tucuman* |
0.587 |
(0.270) |
0.192 |
(0.343) |
0.445 |
(0.205) |
-0.615 |
(0.313) |
-1.202 |
(0.448) |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
|
|
North |
1.121 |
(0.297) |
0.418 |
(0.558) |
0.583 |
(0.559) |
-1.341 |
(0.440) |
-2.462 |
(0.543) |
|
|
Northeast |
0.627 |
(0.282) |
0.430 |
(0.246) |
0.501 |
(0.233) |
-0.737 |
(0.285) |
-1.364 |
(0.380) |
|
|
South |
0.456 |
(0.218) |
0.552 |
(0.371) |
0.397 |
(0.482) |
-1.222 |
(0.299) |
-1.678 |
(0.382) |
|
|
Southeast |
0.191 |
(0.182) |
-0.152 |
(0.222) |
-0.449 |
(0.226) |
-0.739 |
(0.212) |
-0.930 |
(0.246) |
|
|
Middle-West |
0.236 |
(0.527) |
0.971 |
(0.972) |
-0.353 |
(0.378) |
-0.863 |
(0.290) |
-1.098 |
(0.671) |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
1.194 |
(0.455) |
0.886 |
(0.554) |
0.371 |
(0.439) |
-0.133 |
(0.238) |
-1.327 |
(0.468) |
|
|
DKI Jakarta |
0.625 |
(0.331) |
-0.070 |
(0.403) |
0.046 |
(0.315) |
-0.727 |
(0.374) |
-1.352 |
(0.495) |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
|
|
Akmola region |
0.184 |
(0.351) |
0.102 |
(0.480) |
0.898 |
(0.644) |
-0.163 |
(0.572) |
-0.347 |
(0.632) |
|
|
Aktobe region |
0.776 |
(0.384) |
1.255 |
(0.813) |
0.435 |
(0.685) |
0.344 |
(0.457) |
-0.432 |
(0.622) |
|
|
Almaty |
-0.686 |
(0.647) |
-0.487 |
(0.693) |
-0.851 |
(0.616) |
-1.421 |
(0.000) |
-0.735 |
(0.647) |
|
|
Almaty region |
0.322 |
(0.430) |
-0.307 |
(0.645) |
0.351 |
(0.337) |
0.406 |
(0.158) |
0.084 |
(0.479) |
|
|
Astana |
0.207 |
(0.375) |
1.003 |
(0.592) |
-0.114 |
(0.679) |
0.467 |
(0.352) |
0.260 |
(0.508) |
|
|
Atyrau region |
-0.142 |
(0.330) |
0.593 |
(0.450) |
-0.377 |
(0.384) |
-0.205 |
(0.475) |
-0.063 |
(0.610) |
|
|
East-Kazakhstan region |
0.206 |
(0.386) |
0.189 |
(0.450) |
0.844 |
(0.525) |
0.294 |
(0.515) |
0.088 |
(0.710) |
|
|
Karagandy region |
0.285 |
(0.478) |
-0.504 |
(0.630) |
0.724 |
(0.584) |
0.014 |
(0.390) |
-0.272 |
(0.643) |
|
|
Kostanay region |
0.794 |
(0.385) |
0.383 |
(0.480) |
0.928 |
(0.766) |
-0.150 |
(0.345) |
-0.944 |
(0.526) |
|
|
Kyzyl-Orda region |
0.246 |
(0.267) |
0.032 |
(1.127) |
0.432 |
(1.272) |
0.328 |
(0.451) |
0.083 |
(0.548) |
|
|
Mangistau region |
0.138 |
(0.673) |
0.267 |
(0.894) |
-0.144 |
(1.225) |
-0.750 |
(0.918) |
-0.888 |
(1.171) |
|
|
North-Kazakhstan region |
0.562 |
(0.382) |
0.897 |
(0.563) |
0.223 |
(0.416) |
0.601 |
(0.473) |
0.039 |
(0.591) |
|
|
Pavlodar region |
-0.107 |
(0.293) |
-0.015 |
(0.486) |
-0.788 |
(0.644) |
-0.249 |
(0.375) |
-0.142 |
(0.449) |
|
|
South-Kazakhstan region |
1.199 |
(0.407) |
0.396 |
(0.518) |
-0.628 |
(0.832) |
0.515 |
(0.729) |
-0.684 |
(0.842) |
|
|
West-Kazakhstan region |
-0.142 |
(0.225) |
0.178 |
(0.319) |
0.402 |
(0.327) |
-0.700 |
(0.435) |
-0.557 |
(0.407) |
|
|
Zhambyl region |
-0.053 |
(0.421) |
1.009 |
(0.681) |
0.075 |
(0.590) |
0.660 |
(0.741) |
0.713 |
(0.822) |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
|
|
Moscow region* |
-0.148 |
(0.301) |
-0.237 |
(0.385) |
-0.268 |
(0.295) |
-0.034 |
(0.214) |
0.114 |
(0.343) |
|
|
Republic of Tatarstan* |
0.645 |
(0.117) |
0.432 |
(0.173) |
0.334 |
(0.181) |
0.356 |
(0.200) |
-0.290 |
(0.224) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.14 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.19 [5/6]. Variation in Principals’ views on material shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on material shortage, by type of school |
||||||||
|---|---|---|---|---|---|---|---|---|---|
|
Public |
Private government-dependent |
Private independent |
Private-Public4 |
||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
OECD |
Belgium |
|
|
|
|
|
|
|
|
|
Flemish Community* |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
French Community |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
German-speaking Community |
m |
m |
m |
m |
m |
m |
m |
m |
|
|
Canada |
|
|
|
|
|
|
|
|
|
|
Alberta |
-0.743 |
(0.085) |
m |
m |
m |
m |
m |
m |
|
|
British Columbia |
-0.286 |
(0.098) |
-0.351 |
(0.168) |
m |
m |
-0.065 |
(0.185) |
|
|
Manitoba |
-0.778 |
(0.042) |
-0.867 |
(0.403) |
m |
m |
-0.089 |
(0.405) |
|
|
New Brunswick |
0.038 |
(0.054) |
m |
m |
m |
m |
m |
m |
|
|
Newfoundland and Labrador |
-0.779 |
(0.056) |
m |
m |
m |
m |
m |
m |
|
|
Nova Scotia |
-0.246 |
(0.062) |
m |
m |
m |
m |
m |
m |
|
|
Ontario |
-0.656 |
(0.092) |
m |
m |
-1.077 |
(0.234) |
-0.420 |
(0.250) |
|
|
Prince Edward Island |
0.407 |
(0.119) |
m |
m |
m |
m |
m |
m |
|
|
Québec |
-0.273 |
(0.092) |
-1.009 |
(0.183) |
-0.725 |
(0.167) |
-0.552 |
(0.152) |
|
|
Saskatchewan |
-0.519 |
(0.055) |
m |
m |
m |
m |
m |
m |
|
|
Colombia |
|
|
|
|
|
|
|
|
|
|
Bogotá |
0.654 |
(0.155) |
m |
m |
-0.676 |
(0.206) |
-1.331 |
(0.257) |
|
|
Italy |
|
|
|
|
|
|
|
|
|
|
Bolzano |
-0.065 |
(0.016) |
-0.515 |
(0.044) |
m |
m |
-0.450 |
(0.047) |
|
|
Sardegna |
0.755 |
(0.096) |
m |
m |
m |
m |
m |
m |
|
|
Toscana |
0.515 |
(0.091) |
m |
m |
m |
m |
m |
m |
|
|
Trento |
-0.412 |
(0.015) |
-0.507 |
(0.121) |
m |
m |
-0.096 |
(0.123) |
|
|
Spain |
|
|
|
|
|
|
|
|
|
|
Andalusia |
0.768 |
(0.201) |
-0.440 |
(0.242) |
m |
m |
-1.208 |
(0.314) |
|
|
Aragon |
0.229 |
(0.214) |
-0.170 |
(0.316) |
m |
m |
-0.400 |
(0.382) |
|
|
Asturias |
0.231 |
(0.138) |
-0.222 |
(0.166) |
m |
m |
-0.454 |
(0.219) |
|
|
Balearic Islands |
0.560 |
(0.131) |
-0.301 |
(0.307) |
-0.391 |
(0.433) |
-0.885 |
(0.278) |
|
|
Basque Country |
0.024 |
(0.157) |
-0.234 |
(0.101) |
m |
m |
-0.258 |
(0.186) |
|
|
Canary Islands |
0.743 |
(0.187) |
-0.378 |
(0.302) |
-0.512 |
(0.234) |
-1.191 |
(0.253) |
|
|
Cantabria |
-0.123 |
(0.112) |
-0.273 |
(0.156) |
m |
m |
-0.150 |
(0.193) |
|
|
Castile and Leon |
0.423 |
(0.172) |
-0.695 |
(0.158) |
m |
m |
-1.118 |
(0.232) |
|
|
Castile-La Mancha |
1.246 |
(0.170) |
0.045 |
(0.334) |
m |
m |
-1.201 |
(0.375) |
|
|
Catalonia |
0.166 |
(0.181) |
-0.174 |
(0.415) |
m |
m |
-0.340 |
(0.453) |
|
|
Ceuta |
m |
m |
0.084 |
(0.048) |
m |
m |
m |
m |
|
|
Comunidad Valenciana |
0.335 |
(0.150) |
-0.006 |
(0.287) |
-0.652 |
(0.291) |
-0.511 |
(0.269) |
|
|
Extremadura |
0.123 |
(0.201) |
0.200 |
(0.260) |
m |
m |
0.077 |
(0.330) |
|
|
Galicia |
0.179 |
(0.122) |
-0.470 |
(0.307) |
m |
m |
-0.649 |
(0.330) |
|
|
La Rioja |
-0.080 |
(0.013) |
-0.108 |
(0.015) |
m |
m |
-0.029 |
(0.021) |
|
|
Madrid |
0.359 |
(0.088) |
-0.123 |
(0.210) |
-0.679 |
(0.181) |
-0.718 |
(0.172) |
|
|
Melilla |
0.797 |
(0.027) |
m |
m |
m |
m |
m |
m |
|
|
Murcia |
0.618 |
(0.141) |
-0.436 |
(0.196) |
m |
m |
-1.053 |
(0.243) |
|
|
Navarre |
0.057 |
(0.136) |
-0.378 |
(0.183) |
m |
m |
-0.435 |
(0.233) |
|
|
United Kingdom |
|
|
|
|
|
|
|
|
|
|
England |
0.126 |
(0.140) |
0.041 |
(0.111) |
-1.352 |
(0.061) |
-0.288 |
(0.169) |
|
|
Northern Ireland |
0.218 |
(0.133) |
0.170 |
(0.419) |
m |
m |
-0.048 |
(0.430) |
|
|
Scotland* |
-0.249 |
(0.102) |
m |
m |
m |
m |
m |
m |
|
|
Wales |
0.417 |
(0.084) |
m |
m |
-0.640 |
(0.500) |
-1.057 |
(0.507) |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.14 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Table II.B2.19 [6/6]. Variation in Principals’ views on material shortage, by school characteristics
Results based on school principals’ reports
|
|
Average index of principals’ views on material shortage, by type of school |
||||||||
|---|---|---|---|---|---|---|---|---|---|
|
Public |
Private government-dependent |
Private independent |
Private-Public4 |
||||||
|
Mean Index |
S.E. |
Mean Index |
S.E. |
Mean Index |
S.E. |
Dif. |
S.E. |
||
|
Partners |
Argentina |
|
|
|
|
|
|
|
|
|
CABA* |
0.499 |
(0.209) |
-0.525 |
(0.203) |
-1.069 |
(0.172) |
-1.250 |
(0.253) |
|
|
Cordoba* |
0.387 |
(0.131) |
0.050 |
(0.323) |
-0.628 |
(0.266) |
-0.583 |
(0.254) |
|
|
PBA* |
1.010 |
(0.164) |
-0.406 |
(0.289) |
-0.690 |
(0.562) |
-1.491 |
(0.334) |
|
|
Tucuman* |
0.359 |
(0.107) |
-0.110 |
(0.408) |
m |
m |
-0.470 |
(0.426) |
|
|
Brazil |
|
|
|
|
|
|
|
|
|
|
North |
0.608 |
(0.187) |
m |
m |
-1.324 |
(0.124) |
-1.932 |
(0.217) |
|
|
Northeast |
0.454 |
(0.116) |
m |
m |
-0.933 |
(0.212) |
-1.387 |
(0.247) |
|
|
South |
0.342 |
(0.174) |
m |
m |
-1.376 |
(0.041) |
-1.718 |
(0.178) |
|
|
Southeast |
-0.118 |
(0.087) |
m |
m |
-0.965 |
(0.198) |
-0.847 |
(0.221) |
|
|
Middle-West |
0.259 |
(0.270) |
m |
m |
-1.274 |
(0.171) |
-1.533 |
(0.317) |
|
|
Indonesia |
|
|
|
|
|
|
|
|
|
|
DI Yogyakarta |
0.492 |
(0.239) |
0.971 |
(0.369) |
-0.117 |
(0.241) |
0.085 |
(0.359) |
|
|
DKI Jakarta |
0.039 |
(0.236) |
m |
m |
0.027 |
(0.303) |
-0.012 |
(0.383) |
|
|
Kazakhstan |
|
|
|
|
|
|
|
|
|
|
Akmola region |
0.278 |
(0.203) |
m |
m |
m |
m |
m |
m |
|
|
Aktobe region |
0.690 |
(0.147) |
m |
m |
m |
m |
m |
m |
|
|
Almaty |
-0.730 |
(0.191) |
m |
m |
m |
m |
m |
m |
|
|
Almaty region |
0.194 |
(0.167) |
m |
m |
m |
m |
m |
m |
|
|
Astana |
0.445 |
(0.236) |
m |
m |
m |
m |
m |
m |
|
|
Atyrau region |
0.042 |
(0.170) |
m |
m |
m |
m |
m |
m |
|
|
East-Kazakhstan region |
0.412 |
(0.214) |
m |
m |
m |
m |
m |
m |
|
|
Karagandy region |
0.179 |
(0.206) |
m |
m |
m |
m |
m |
m |
|
|
Kostanay region |
0.496 |
(0.206) |
m |
m |
m |
m |
m |
m |
|
|
Kyzyl-Orda region |
0.254 |
(0.211) |
m |
m |
m |
m |
m |
m |
|
|
Mangistau region |
-0.118 |
(0.265) |
m |
m |
m |
m |
m |
m |
|
|
North-Kazakhstan region |
0.581 |
(0.159) |
m |
m |
m |
m |
m |
m |
|
|
Pavlodar region |
-0.292 |
(0.134) |
m |
m |
m |
m |
m |
m |
|
|
South-Kazakhstan region |
0.412 |
(0.243) |
m |
m |
m |
m |
m |
m |
|
|
West-Kazakhstan region |
-0.047 |
(0.149) |
m |
m |
m |
m |
m |
m |
|
|
Zhambyl region |
0.444 |
(0.190) |
m |
m |
m |
m |
m |
m |
|
|
Russia |
|
|
|
|
|
|
|
|
|
|
Moscow region* |
-0.175 |
(0.113) |
m |
m |
m |
m |
m |
m |
|
|
Republic of Tatarstan* |
0.442 |
(0.081) |
m |
m |
m |
m |
m |
m |
|
* PISA adjudicated region.
1. In this chapter, all analyses are restricted to schools with the modal ISCED level for 15-year-old students. Results may thus differ from those estimated on the entire sample of 15-year-old students.
2. Coverage refers to the weighted share of students in the PISA sample who attend schools included in this analysis. It is equal to 100% if all schools in the PISA sample are included in the analysis.
3. The socio-economic profile is measured by the school’s average PISA index of economic, social and cultural status (ESCS).
4. The calculation “Private-Public” is the difference between private government-dependent and independent schools combined, and public schools.
Notes: See Table II.B1.5.14 for national data.
Values that are statistically significant are indicated in bold (see Annex A3).
Private schools refer to schools managed directly or indirectly by a non-governmental organisation, such as a church, trade union, business or other private institution. Privately managed schools are classified as independent when at least 50% of the funding comes from private sources; they are classified as government-dependent when at least 50% of the funding comes from the government (including departments, local, regional, state and national). The classification is based on the school principal’s report.
Annex B2 List of tables available on line
|
WEB |
Table II.B2.2 |
Average and distribution of reading performance |
|
WEB |
Table II.B2.3 |
Socio-economic status and mathematics and science performance |
|
WEB |
Table II.B2.5 |
Proportion of academically resilient students |
|
WEB |
Table II.B2.6 |
Percentage of academically resilient students, by quarter of key indices |
|
WEB |
Table II.B2.7 |
Average of key student attitudes and academic resilience |
|
WEB |
Table II.B2.8 |
Students' well-being, by socio-economic status |
|
WEB |
Table II.B2.10 |
Between- and within-school variation in students' socio-economic status |
|
WEB |
Table II.B2.11 |
Isolation index of low- and high-achieving students in reading |
|
WEB |
Table II.B2.12 |
Isolation index of disadvantaged and advantaged students |
|
WEB |
Table II.B2.13 |
Isolation of disadvantaged students from high-achieving students in reading |
|
WEB |
Table II.B2.14 |
School admissions policies, by school type |
|
WEB |
Table II.B2.15 |
Percentage of students enrolled in general and vocational/modular programmes, by school type |
|
WEB |
Table II.B2.16 |
Reading performance, by type of programme |
|
WEB |
Table II.B2.17 |
Variation in Class size, by school characteristics |
|
WEB |
Table II.B2.20 |
Variation in Students' views on teacher enthusiam, by school characteristics |
|
WEB |
Table II.B2.21 |
Principals' views on lack of teaching staff, by school characteristics |
|
WEB |
Table II.B2.22 |
Principals' negative views on teaching staff, by school characteristics |
|
WEB |
Table II.B2.23 |
Principals' views on lack of assisting staff, by school characteristics |
|
WEB |
Table II.B2.24 |
Principals' negative views on assisting staff, by school characteristics |
|
WEB |
Table II.B2.25 |
Principals' views on lack of educational material, by school characteristics |
|
WEB |
Table II.B2.26 |
Principals' negative views on educational material, by school characteristics |
|
WEB |
Table II.B2.27 |
Principals' views on lack of physical infrastructure, by school characteristics |
|
WEB |
Table II.B2.28 |
Principals' negative views on physical infrastructure, by school characteristics |
|
WEB |
Table II.B2.29 |
Teacher absenteeism, by school characteristics |
|
WEB |
Table II.B2.30 |
Teachers not being well prepared for classes, by school characteristics |
|
WEB |
Table II.B2.31 |
Fully certified teachers, by school characteristics |
|
WEB |
Table II.B2.32 |
Teachers with at least a master's degree, by school characteristics |
|
WEB |
Table II.B2.33 |
Student-teacher ratio, by school characteristics |
|
WEB |
Table II.B2.34 |
Students who expect to complete tertiary education, by socio-economic status and type of programme |
|
WEB |
Table II.B2.35 |
Factors that motivate students' career and education expectations, by socio-economic status |
|
WEB |
Table II.B2.36 |
High performers who do not expect to complete tertiary education, by socio-economic status |
|
WEB |
Table II.B2.37 |
Low performers who expect to complete tertiary education, by socio-economic status |
|
WEB |
Table II.B2.38 |
Students in schools that provide career guidance, by school socio-economic profile and type of programme |
|
WEB |
Table II.B2.39 |
Students in schools that provide mandatory career guidance, by school socio-economic profile |
|
WEB |
Table II.B2.40 |
Students whose education and career expectations are not aligned, by socio-economic status |
|
WEB |
Table II.B2.41 |
Students' career expectations, by skills level of occupation, socio-economic status and type of programme |
|
WEB |
Table II.B2.42 |
Mean score and variation in reading performance, by gender |
|
WEB |
Table II.B2.43 |
Mean score and variation in mathematics performance, by gender |
|
WEB |
Table II.B2.44 |
Mean score and variation in science performance, by gender |
|
WEB |
Table II.B2.45 |
Percentage of students at each proficiency level in reading, by gender |
|
WEB |
Table II.B2.46 |
Percentage of students at each proficiency level in mathematics, by gender |
|
WEB |
Table II.B2.47 |
Percentage of students at each proficiency level in science, by gender |
|
WEB |
Table II.B2.48 |
Reading performance, by gender and socio-economic status |
|
WEB |
Table II.B2.49 |
Mathematics performance, by gender and socio-economic status |
|
WEB |
Table II.B2.50 |
Science performance, by gender and socio-economic status |
|
WEB |
Table II.B2.51 |
Percentage of low achievers/top performers in reading, by gender and socio-economic status |
|
WEB |
Table II.B2.52 |
Percentage of low achievers/top performers in mathematics, by gender and socio-economic status |
|
WEB |
Table II.B2.53 |
Percentage of low achievers/top performers in science, by gender and socio-economic status |
|
WEB |
Table II.B2.54 |
Index of enjoyment of reading, by gender (PISA 2018) |
|
WEB |
Table II.B2.55 |
Time spent reading for enjoyment, by gender |
|
WEB |
Table II.B2.56 |
ICT use outside of school for leisure, by gender |
|
WEB |
Table II.B2.57 |
Percentage of students reading e-mails, by gender |
|
WEB |
Table II.B2.58 |
Percentage of students chatting on line (e.g. <WhatsApp>, <Messenger>), by gender |
|
WEB |
Table II.B2.59 |
Percentage of students reading news on line, by gender |
|
WEB |
Table II.B2.60 |
Percentage of students searching information on line to learn about a particular topic, by gender |
|
WEB |
Table II.B2.61 |
Percentage of students taking part in online group discussions or forums, by gender |
|
WEB |
Table II.B2.62 |
Percentage of students searching the Internet for practical information, by gender |
|
WEB |
Table II.B2.63 |
How much time students spend studying before and after school, by gender |
|
WEB |
Table II.B2.64 |
Index of attitudes towards competition, by gender |
|
WEB |
Table II.B2.65 |
Index of motivation to master tasks, by gender |
|
WEB |
Table II.B2.66 |
Index of fear of failure, by gender |
|
WEB |
Table II.B2.67 |
Index of perceived competence in reading, by gender |
|
WEB |
Table II.B2.68 |
Index of perceived difficulty in reading, by gender |
|
WEB |
Table II.B2.69 |
Expectation to work in science-related occupations, by gender |
|
WEB |
Table II.B2.70 |
Expectation to work as science and engineering professionals amongst top performers in science or mathematics, by gender |
|
WEB |
Table II.B2.71 |
Expectation to work as health professionals amongst top performers in science or mathematics, by gender |
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Table II.B2.72 |
Socio-economic status, by immigrant background |
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WEB |
Table II.B2.73 |
Language spoken at home, by immigrant background |
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WEB |
Table II.B2.74 |
Mean reading performance and academic resilience, by immigrant background |
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WEB |
Table II.B2.75 |
Students who expect to complete tertiary education, by immigrant background |
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WEB |
Table II.B2.76 |
Concentration of immigrant students in schools |
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WEB |
Table II.B2.77 |
Students' well-being, by immigrant background |