-
Learning from the International ExperienceProgram on Education Policy and GovernanceHarvard UniversityAugust 2011Globally Challenged: Are U. S. Students Ready to Compete?Paul E. Peterson, Ludger Woessmann, Eric A. Hanushek, and Carlos Lastra
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International ComparisonsExtensive assessments of math, science, and reading skillsInternational comparisons largely ignored by U.S.U.S. scores portend bleak futureCurrent recession costs dwarfed by schooling crisis
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International Math Rankings PISA 2009
Chart2
600.0762529201
562.0187352542
554.5275210157
546.2284975349
543.1823895419
540.504324571
536.0481720679
533.9606815101
528.9930947972
526.8051472847
525.8356839209
525.282968285
519.3008697688
515.2722472998
514.3404529692
512.777635322
512.1041600848
506.6691222604
503.2781285317
501.4723051103
497.9557074369
496.7823023425
496.6833945562
495.9086379239
494.8028962034
494.238188768
492.8141008694
492.414080301
490.1700055849
489.0670715473
487.3965256646
487.1363578337
486.8883136405
483.4931545185
482.9084805052
481.9538088674
476.6023304654
467.8122006758
466.0963832794
459.9389219378
452.5327768015
446.8637535139
445.4513482545
442.381885506
430.9752879061
428.0661156346
427.0791883744
426.7238012062
421.0604821622
418.5839532652
418.5090940304
414.0449677385
404.8846756496
402.515414742
388.0680931749
386.6637991662
385.8141237509
380.8482574084
377.4610320934
371.4835105215
371.300914975
368.1128064055
365.1072712682
359.7480805794
331.1554799128
math score 2009
PISA Math Performance 2009
TOC
PISA PISA 2009 Results: What Students Know and Can Do: Student Performance in Reading, Mathematics and Science (Volume I) - OECD 2010
Volume I Chapter 3
Figure I.3.9How proficient are students in mathematics?
Figure I.3.10Comparing countries' performance in mathematics
Figure I.3.11Where countries rank in mathematics performance
Figure I.3.12Gender differences in mathematics performance
Fig I.3.12_alternativePerformance of males and females on the mathematics scale
Figure I.3.20How proficient are students in science?
Figure I.3.21Comparing countries' performance in science
Figure I.3.22Where countries rank in science performance
Figure I.3.23Gender differences in science performance
Figure I.3.aOverlapping of top performers in reading, mathematics and science on average in the OECD
Figure I.3.bTop performers in reading, mathematics and science
&R&D&T&Z&F&F&A
PISA PISA 2009 Results: What Students Know and Can Do: Student Performance in Reading, Mathematics and Science (Volume I) - OECD 2010
Data FI.3.9
Tab I.3.1OLD Table 7.1b
Percentage of students at each proficiency level on the mathematics scale
change into negative values Below Level 1, Level1, Level 2sort by this column
Below Level 1Level 1Level 2Level 3Level 4Level 5Level 6Sum Level 2, 3, 4, 5, 6
%%%%%%
Column1Column3Column5Column6Column8Column10Column12Column14Column16
Shanghai-China-1.4-3.48.715.220.823.826.6(95.1)
Finland-1.7-6.115.627.127.816.74.9(92.2)
Korea-1.9-6.215.624.426.317.77.8(91.9)
Hong Kong-China-2.6-6.213.221.925.419.910.8(91.2)
Liechtenstein-3.0-6.515.026.231.213.05.0(90.5)
Singapore-3.0-6.813.118.722.820.015.6(90.2)
Macao-China-2.8-8.219.627.824.512.84.3(89.0)
Canada-3.1-8.318.826.525.013.94.4(88.5)
Japan-4.0-8.517.425.723.514.76.2(87.5)
Estonia-3.0-9.622.729.922.79.82.2(87.4)
Chinese Taipei-4.2-8.615.520.922.217.211.3(87.2)
Netherlands-2.8-10.619.023.923.915.44.4(86.6)
Switzerland-4.5-9.015.923.023.516.37.8(86.5)
New Zealand-5.3-10.219.124.422.213.65.3(84.6)
Australia-5.1-10.820.325.821.711.94.5(84.1)
Iceland-5.7-11.321.327.320.910.53.1(83.0)
Denmark-4.9-12.123.027.421.09.12.5(82.9)
Norway-5.5-12.724.327.519.78.41.8(81.8)
Germany-6.4-12.218.823.121.713.24.6(81.4)
Belgium-7.7-11.317.521.821.314.65.8(80.9)
United Kingdom-6.2-14.024.927.217.98.11.8(79.8)
Slovenia-6.5-13.822.523.919.010.33.9(79.7)
Poland-6.1-14.424.026.119.08.22.2(79.5)
Ireland-7.3-13.624.528.619.45.80.9(79.2)
Slovak Republic-7.0-14.023.225.018.19.13.6(79.0)
Sweden-7.5-13.623.425.219.08.92.5(78.9)
Hungary-8.1-14.223.226.018.48.12.0(77.7)
Czech Republic-7.0-15.324.224.417.48.53.2(77.7)
France-9.5-13.119.923.820.110.43.3(77.5)
Latvia-5.8-16.727.228.216.45.10.6(77.4)
Austria-7.8-15.421.223.019.69.93.0(76.8)
United States-8.1-15.324.425.217.18.01.9(76.6)
Portugal-8.4-15.323.925.017.77.71.9(76.3)
Spain-9.1-14.623.926.617.76.71.3(76.3)
Luxembourg-9.6-14.422.723.119.09.02.3(76.1)
Italy-9.1-15.924.224.617.37.41.6(75.1)
Lithuania-9.0-17.326.125.315.45.71.3(73.7)
Russian Federation-9.5-19.028.525.012.74.31.0(71.4)
Greece-11.3-19.126.424.013.64.90.8(69.7)
Croatia-12.4-20.826.722.712.54.30.6(66.8)
Dubai (UAE)-17.6-21.223.019.612.15.31.2(61.2)
Israel-20.5-18.922.520.112.04.71.2(60.5)
Serbia-17.6-22.926.519.99.52.90.6(59.4)
Turkey-17.7-24.525.217.49.64.41.3(57.9)
Azerbaijan-11.5-33.835.314.83.60.90.2(54.7)
Romania-19.5-27.528.617.35.91.20.1(53.0)
Bulgaria-24.5-22.723.417.58.23.00.8(52.9)
Uruguay-22.9-24.625.117.07.92.10.3(52.4)
Mexico-21.9-28.928.315.64.70.70.0(49.2)
Chile-21.7-29.427.314.85.61.20.1(49.0)
Thailand-22.1-30.427.314.04.91.00.3(47.5)
Trinidad and Tobago-30.1-23.121.215.47.72.10.3(46.8)
Montenegro-29.6-28.824.612.23.80.90.1(41.6)
Kazakhstan-29.6-29.623.512.04.20.90.3(40.9)
Argentina-37.2-26.420.810.93.90.80.1(36.4)
Jordan-35.4-29.922.99.52.10.30.0(34.7)
Albania-40.5-27.220.29.12.60.40.0(32.3)
Brazil-38.1-31.019.08.13.00.70.1(30.9)
Colombia-38.8-31.620.37.51.60.10.0(29.6)
Peru-47.6-25.916.96.82.10.50.1(26.5)
Tunisia-43.4-30.218.76.11.30.20.0(26.4)
Qatar-51.1-22.713.17.24.21.50.3(26.2)
Indonesia-43.5-33.116.95.40.90.10.0(23.3)
Panama-51.5-27.313.95.61.40.40.0(21.2)
Kyrgyzstan-64.8-21.89.33.30.70.00.0(13.4)
ATOT0.00.00.00.00.00.00.0(0.0)
AAVG0.00.00.00.00.00.00.0(0.0)
&R&D &T &Z&F
Fig I.3.9
Figure I.3.9
How proficient are students in mathematics?
Percentage of students at the different levels of mathematics proficiency
Countries are ranked in descending order of the percentage of students at Levels 2, 3, 4, 5 and 6.
&R&D&T&Z&F&A
Fig I.3.9
-3.440248058-1.42992375438.737671107815.172354683320.791440550323.784291857726.6440699888
-6.1393998744-1.706636437215.563932442327.122091601727.81159753416.73054562154.9257964888
-6.2103063156-1.915056491515.622705668124.390345732926.293535666517.71884180787.8492083176
-6.1779489488-2.586201977413.24251690721.948131634525.389840486919.8990543910.7563056555
-6.5351547192-2.953603976814.977737010326.244789412431.23468882813.03232293495.0217031184
-6.8074957739-3.012235118513.129433695318.662116054422.776200957619.985095016515.6274233837
-8.1632901972-2.799350869519.558645832527.80211306224.53682349712.84646773244.2933088093
-8.3319365261-3.144396757618.765756559126.503255184424.974516104213.89209899184.3880398767
-8.5267473177-3.951494282617.421065731625.716945024923.503233503514.70641994226.1740941975
-9.63375624-3.003940082622.72404642329.901507561422.65915865949.84510475252.2324862811
-8.6484658628-4.158865880915.501758540620.936712932122.196141236717.246720071211.3113354758
-10.6059081682-2.810276302418.951333857523.860652574523.916731606815.43496570244.4201317882
-8.9947387261-4.475880992615.919738238623.003161298423.485455282716.27276672457.8482587371
-10.1520718614-5.257150642419.065590240224.394588314222.24338642213.62867925745.2585332623
-10.7635535772-5.109999615120.254171699725.768986088521.677553138911.93717412414.4885617564
-11.2738312502-5.679913111321.261963237127.295188882320.900944278510.48727906793.1008801728
-12.1101094124-4.943484589823.031422185727.378073275220.9716592829.07388059032.4913706646
-12.6598982711-5.517875990124.348686799427.528744999919.72760210788.40360516141.8135866704
-12.1953543554-6.422741159918.754532998823.080814804621.698725975213.22242169954.6254090066
-11.3383755183-7.712804418317.475445845121.802947762921.300044759214.55029038235.8200913139
-13.9511214158-6.232848368524.879033628427.201678735517.88553426188.09124417091.758539419
-13.8094169846-6.536278277422.474608156323.933203851619.039798559710.34128939363.8654047768
-14.3627688972-6.124626671223.991413679826.138275298118.99449234648.22875114792.1596719594
-13.5526740875-7.260409338324.490169276128.601245376719.43814033265.78789406770.8694675211
-14.024148701-7.002076644423.158480084924.9919918918.12408277369.08941618173.6098037245
-13.5688640926-7.506633799123.358347242725.230561402518.95292306858.88506885392.4976015407
-14.2090155688-8.099307021323.2263571926.012103603318.35959760358.13688864781.9567303653
-15.2994842633-7.033359978324.220742342124.383563549617.42569795628.46338535023.1737665603
-13.0717368115-9.452581446119.853283070823.825065543920.117449211410.42468105693.2552028593
-16.7396736905-5.819875192827.206164106328.155357753916.37611946635.08383815540.6189716348
-15.4411862623-7.798710500621.205604488523.026204179619.57848940159.91092800453.0388771631
-15.2829416195-8.110942264624.417260414825.210061573417.06264237318.03532622051.8808255342
-15.331969114-8.385107132623.929806945925.029947210917.69125111017.71753149591.9143869906
-14.6092684512-9.122211948223.948917113626.613842743417.65577999586.73426434041.3157154074
-14.3566713354-9.565557274322.677984358723.079264852318.96716261879.00871164432.3446479164
-15.873826945-9.056447467424.164743829524.610885032517.33289485647.36148441061.5997174586
-17.2981398728-9.034462585726.070565024325.270229973615.35077056625.67483696941.300995008
-19.0250867455-9.549219846828.489490861225.025978747812.67449270274.25553736030.9801937356
-19.0646511413-11.253780374826.369781842623.972146719313.61125561244.90902284060.819361469
-20.7894470496-12.363980195926.749537788722.666515805112.50759626814.30164226540.6212806272
-21.2104334037-17.635276850923.024465086219.589897220312.06611111095.2558312261.2179851021
-18.9333314531-20.519913432622.54905990220.08133191712.04625746984.7003571571.1697486686
-22.9426494746-17.640096765726.456860694319.93569960759.48691980992.91161298070.6261606673
-24.4627000967-17.685682127625.219982647117.37647830699.61446204764.37775282731.2629419469
-33.7998527355-11.474953375435.312893989614.77585452253.55688746230.853413070.2261448448
-27.4755558749-19.543377789628.554603081517.26637017245.90467050511.17951633980.0759062367
-22.6690831922-24.451689295623.429063534817.47130943448.19798262713.02755476660.7533171493
-24.6282037099-22.942912913625.146151202217.00789318177.85800077462.08276447070.3340737474
-28.8753147677-21.921178033928.271816868415.5718012044.6523312160.65948741490.048070495
-29.3652172681-21.65987228827.280793782914.76549254825.60603687371.20874771040.1138395287
-30.3940867794-22.133062661727.298888540714.02447157534.89103225480.97925177780.2792064104
-23.0783881868-30.107843890821.226006429815.41646085617.70917443012.1180334630.3440927434
-28.7718183051-29.644374415724.600524356612.21245007363.81060580790.9077342090.0524928322
-29.5590516452-29.578946643623.464341598512.03989731064.1997339090.9000530310.257975862
-26.378380588-37.176196041720.776961630110.88581503833.92360605910.79343063250.0656100103
-29.8511728782-35.417883301322.87457507299.46254176412.12695478560.26641090810.0004612899
-27.2477024625-40.48689053220.15157898189.05815425992.6495111940.39443008010.0117324898
-30.9935050719-38.12566160218.96332399568.13533769572.9832652460.72886821840.0700381705
-31.6100665935-38.837193293120.32002202927.51456249311.60244086730.11554153010.0001731937
-25.887416988-47.644062455416.90065370696.84790778672.09457192030.53308181010.0923053325
-30.1573064774-43.40900969218.71884137146.12480310631.3265224820.2478199370.0156969339
-22.6860955875-51.076868927913.06874217847.20790654194.18334590011.48977733670.2872635274
-33.1407358734-43.528938729716.90265661325.43643169540.91606090070.07517618760
-27.261753654-51.494724098913.86892673745.59240729481.40380079220.35487499280.0235124298
-21.785921821-64.8451088789.3267023243.29536117370.70775356640.03915223690
Students at Level 1 or below
Students at Level 2 or above
Level 1
Below Level 1
Level 2
Level 3
Level 4
Level 5
Level 6
%
Fig I.3.10
Figure I.3.10
Comparing countries' performance in mathematics
MeanComparison countryCountries whose mean score is NOT statistically significantly different from that comparison country
600Shanghai-China
562Singapore
555Hong Kong-ChinaKorea
546KoreaHong Kong-China, Chinese Taipei, Finland, Liechtenstein
543Chinese TaipeiKorea, Finland, Liechtenstein, Switzerland
541FinlandKorea, Chinese Taipei, Liechtenstein, Switzerland
536LiechtensteinKorea, Chinese Taipei, Finland, Switzerland, Japan, Netherlands
534SwitzerlandChinese Taipei, Finland, Liechtenstein, Japan, Canada, Netherlands
529JapanLiechtenstein, Switzerland, Canada, Netherlands, Macao-China
527CanadaSwitzerland, Japan, Netherlands, Macao-China
526NetherlandsLiechtenstein, Switzerland, Japan, Canada, Macao-China, New Zealand
525Macao-ChinaJapan, Canada, Netherlands
519New ZealandNetherlands, Belgium, Australia, Germany
515BelgiumNew Zealand, Australia, Germany, Estonia
514AustraliaNew Zealand, Belgium, Germany, Estonia
513GermanyNew Zealand, Belgium, Australia, Estonia, Iceland
512EstoniaBelgium, Australia, Germany, Iceland
507IcelandGermany, Estonia, Denmark
503DenmarkIceland, Slovenia, Norway, France, Slovak Republic
501SloveniaDenmark, Norway, France, Slovak Republic, Austria
498NorwayDenmark, Slovenia, France, Slovak Republic, Austria, Poland, Sweden, Czech Republic, United Kingdom, Hungary
497FranceDenmark, Slovenia, Norway, Slovak Republic, Austria, Poland, Sweden, Czech Republic, United Kingdom, Hungary
497Slovak RepublicDenmark, Slovenia, Norway, France, Austria, Poland, Sweden, Czech Republic, United Kingdom, Hungary
496AustriaSlovenia, Norway, France, Slovak Republic, Poland, Sweden, Czech Republic, United Kingdom, Hungary, United States
495PolandNorway, France, Slovak Republic, Austria, Sweden, Czech Republic, United Kingdom, Hungary, Luxembourg, United States, Portugal
494SwedenNorway, France, Slovak Republic, Austria, Poland, Czech Republic, United Kingdom, Hungary, Luxembourg, United States, Ireland, Portugal
493Czech RepublicNorway, France, Slovak Republic, Austria, Poland, Sweden, United Kingdom, Hungary, Luxembourg, United States, Ireland, Portugal
492United KingdomNorway, France, Slovak Republic, Austria, Poland, Sweden, Czech Republic, Hungary, Luxembourg, United States, Ireland, Portugal
490HungaryNorway, France, Slovak Republic, Austria, Poland, Sweden, Czech Republic, United Kingdom, Luxembourg, United States, Ireland, Portugal, Spain, Italy, Latvia
489LuxembourgPoland, Sweden, Czech Republic, United Kingdom, Hungary, United States, Ireland, Portugal
487United StatesAustria, Poland, Sweden, Czech Republic, United Kingdom, Hungary, Luxembourg, Ireland, Portugal, Spain, Italy, Latvia
487IrelandSweden, Czech Republic, United Kingdom, Hungary, Luxembourg, United States, Portugal, Spain, Italy, Latvia
487PortugalPoland, Sweden, Czech Republic, United Kingdom, Hungary, Luxembourg, United States, Ireland, Spain, Italy, Latvia
483SpainHungary, United States, Ireland, Portugal, Italy, Latvia
483ItalyHungary, United States, Ireland, Portugal, Spain, Latvia
482LatviaHungary, United States, Ireland, Portugal, Spain, Italy, Lithuania
477LithuaniaLatvia
468Russian FederationGreece, Croatia
466GreeceRussian Federation, Croatia
460CroatiaRussian Federation, Greece
453Dubai (UAE)Israel, Turkey
447IsraelDubai (UAE), Turkey, Serbia
445TurkeyDubai (UAE), Israel, Serbia
442SerbiaIsrael, Turkey
431AzerbaijanBulgaria, Romania, Uruguay
428BulgariaAzerbaijan, Romania, Uruguay, Chile, Thailand, Mexico
427RomaniaAzerbaijan, Bulgaria, Uruguay, Chile, Thailand
427UruguayAzerbaijan, Bulgaria, Romania, Chile
421ChileBulgaria, Romania, Uruguay, Thailand, Mexico
419ThailandBulgaria, Romania, Chile, Mexico, Trinidad and Tobago
419MexicoBulgaria, Chile, Thailand
414Trinidad and TobagoThailand
405KazakhstanMontenegro
403MontenegroKazakhstan
388ArgentinaJordan, Brazil, Colombia, Albania
387JordanArgentina, Brazil, Colombia, Albania
386BrazilArgentina, Jordan, Colombia, Albania
381ColombiaArgentina, Jordan, Brazil, Albania, Indonesia
377AlbaniaArgentina, Jordan, Brazil, Colombia, Tunisia, Indonesia
371TunisiaAlbania, Indonesia, Qatar, Peru, Panama
371IndonesiaColombia, Albania, Tunisia, Qatar, Peru, Panama
368QatarTunisia, Indonesia, Peru, Panama
365PeruTunisia, Indonesia, Qatar, Panama
360PanamaTunisia, Indonesia, Qatar, Peru
331Kyrgyzstan
Statistically significantly above the OECD average
Not statistically significantly different from the OECD average
Statistically significantly below the OECD average
Below Level 1
Level 1
Level 2
Level 3
Level 4
Level 5
Level 6
&R&D&T&Z&F&F&A
Fig I.3.10
math score 2009
PISA Math Performance 2009
Fig I.3.11
Figure I.3.11
Where countries rank in mathematics performance
Statistically significantly above the OECD average
Not statistically significantly different from the OECD average
Statistically significantly below the OECD average
Mathematics
Mean scoreS.E.Range of rank
OECD countriesAll countries/economies
Upper rankLower rankUpper rankLower rank
Shanghai-China600(2.8)11
Singapore562(1.4)22
Hong Kong-China555(2.7)34
Korea546(4.0)1236
Chinese Taipei543(3.4)47
Finland541(2.2)1347
Liechtenstein536(4.1)59
Switzerland534(3.3)2469
Japan529(3.3)36812
Canada527(1.6)46912
Netherlands526(4.7)37813
Macao-China525(0.9)1012
New Zealand519(2.3)681214
Belgium515(2.3)7111317
Australia514(2.5)7111317
Germany513(2.9)8121317
Estonia512(2.6)8111417
Iceland507(1.4)11131719
Denmark503(2.6)12161821
Slovenia501(1.2)13151921
Norway498(2.4)13201926
France497(3.1)13221928
Slovak Republic497(3.1)13221928
Austria496(2.7)14222028
Poland495(2.8)15242129
Sweden494(2.9)15242130
Czech Republic493(2.8)16252231
United Kingdom492(2.4)17252331
Hungary490(3.5)18282334
Luxembourg489(1.2)22262833
United States487(3.6)21292636
Ireland487(2.5)22292835
Portugal487(2.9)22292836
Spain483(2.1)26293236
Italy483(1.9)26293236
Latvia482(3.1)3237
Lithuania477(2.6)3638
Russian Federation468(3.3)3839
Greece466(3.9)30303840
Croatia460(3.1)3940
Dubai (UAE)453(1.1)4142
Israel447(3.3)31324244
Turkey445(4.4)31324144
Serbia442(2.9)4244
Azerbaijan431(2.8)4547
Bulgaria428(5.9)4551
Romania427(3.4)4549
Uruguay427(2.6)4549
Chile421(3.1)33344751
Thailand419(3.2)4852
Mexico419(1.8)33344951
Trinidad and Tobago414(1.3)5152
Kazakhstan405(3.0)5354
Montenegro403(2.0)5354
Argentina388(4.1)5558
Jordan387(3.7)5558
Brazil386(2.4)5558
Colombia381(3.2)5659
Albania377(4.0)5761
Tunisia371(3.0)5963
Indonesia371(3.7)5963
Qatar368(0.7)6163
Peru365(4.0)6164
Panama360(5.2)6264
Kyrgyzstan331(2.9)6565
Data FI.3.12
Table I.3.3OLD Table 7.1a
Mean score, variation and gender differences in student performance on the mathematics scale
Gender differences
All studentsMalesGirls
Mean scoreMean scoreScore difference
Column1Column6Column7Column9Column28Column29
Colombia381398366-32-12
Liechtenstein536547523-24-12
Belgium515526504-22-12
Chile421431410-21-12
United Kingdom492503482-20-12
United States487497477-20-12
Switzerland534544524-20-12
Luxembourg489499479-19-12
Austria496506486-19-12
Spain483493474-19-12
Peru365374356-18-12
Netherlands526534517-17-12
France497505489-16-12
Denmark503511495-16-12
Germany513520505-16-12
Brazil386394379-16-12
Italy483490475-15-12
Hong Kong-China555561547-14-12
Greece466473459-14-12
Mexico419425412-14-12
Uruguay427433421-12-12
Tunisia371378366-12-12
Montenegro403408396-12-12
Hungary490496484-12-12
Canada527533521-12-12
Portugal487493481-12-12
Serbia442448437-12-12
Macao-China525531520-11-12
Turkey445451440-11-12
Croatia460465454-11-12
Argentina388394383-10-12
Australia514519509-10-12
Japan529534524-9-12
Estonia512516508-9-12
Israel447451443-8-12
Azerbaijan431435427-8-12
New Zealand519523515-8-12
Ireland487491483-8-12
Singapore562565559-5-12
Panama360362357-5-12
Norway498500495-5-12
Czech Republic493495490-5-12
Chinese Taipei543546541-5-12
Thailand419421417-4-12
Poland495497493-3-12
Iceland507508505-3-12
Romania427429425-3-12
Korea546548544-3-12
Slovak Republic497498495-3-12
Finland541542539-3-12
Dubai (UAE)453454451-2-12
Russian Federation468469467-2-12
Latvia482483481-2-12
Slovenia501502501-1-12
Jordan3873863870-12
Kazakhstan4054054051-12
Shanghai-China6005996011-12
Indonesia3713713721-12
Sweden4944934952-12
Bulgaria4284264304-12
Qatar3683663715-12
Kyrgyzstan3313283346-12
Lithuania4774744806-12
Trinidad and Tobago4144104188-12
Albania37737238311-12
OECD total-15.06-11.98
OECD average-11.98-11.98
-11.98
-11.98
&R&D &T &Z&F
Fig I.3.12
Figure I.3.12
Gender differences in mathematics performance
Figure I.3.12Gender differences in mathematics performanceNote: Statistically significant gender differences are marked in a darker tone (see Annex A3).Countries are ranked in ascending order of the score point difference (girls - boys).Source: OECD PISA 2009 Database, Table I.3.3.
&R&D&T&Z&F&F&A
All students Boys Girls
Fig I.3.12
397.7099000257365.5203980622380.8482574084
547.4264921233523.2229418056536.0481720679
525.9159532168504.1568977767515.2722472998
431.3327140569410.3759145831421.0604821622
502.8460543487482.3635810647492.414080301
497.2650069876476.992552038487.3965256646
543.7110787484523.8593197282533.9606815101
498.6346448449479.2421426388489.0670715473
505.6830533532486.4993863344495.9086379239
492.7796840638473.898897853483.4931545185
373.8230539492356.2148046638365.1072712682
534.4564944351517.3069184461525.8356839209
505.1180499563488.85560092496.7823023425
511.4264141808495.2927704824503.2781285317
520.3921804193504.8246625668512.777635322
394.0477261147378.5389832987385.8141237509
490.0045062898475.404164683482.9084805052
561.0433653535547.2023826612554.5275210157
473.1323754865459.3070975797466.0963832794
425.4120943422411.7696898843418.5090940304
433.2393558009420.940154421426.7238012062
377.8787848813365.6812615501371.4835105215
408.4380199249396.3074939893402.515414742
496.1284085082484.1105951117490.1700055849
532.7002463643520.8320336669526.8051472847
492.9050143502481.1364999023486.8883136405
448.10678318436.6039003092442.381885506
530.8269891053519.6023728341525.282968285
450.7490727034439.8029318785445.4513482545
464.9614663223454.2786440433459.9389219378
393.6717993551383.2348127202388.0680931749
519.4177861355509.4806493117514.3404529692
533.5544506815524.1308897234528.9930947972
516.3590536346507.5373128336512.1041600848
451.0595490796442.8166252748446.8637535139
434.9903417991426.7677279575430.9752879061
523.0964858656515.3456853973519.3008697688
490.8590632878483.3180535815487.1363578337
564.5876437248559.3619585818562.0187352542
362.3562243163357.1763519406359.7480805794
500.3974247461495.4019245725497.9557074369
495.1306286319490.1787386232492.8141008694
545.6119983426540.7028250411543.1823895419
420.6479871869417.010817955418.5839532652
496.551149133493.0528009542494.8028962034
508.4121981577504.9454378571506.6691222604
428.8260137027425.3957643963427.0791883744
547.8192869745544.4525789499546.2284975349
497.994573862495.3954404957496.6833945562
541.7910002523539.2123728749540.504324571
453.7150455201451.2976682896452.5327768015
468.9112096719466.7324188809467.8122006758
482.8910285282481.0410142682481.9538088674
502.1204703929500.7979717041501.4723051103
386.4198733842386.9113370256386.6637991662
404.6190884234405.1580502008404.8846756496
599.4276944389600.7132275085600.0762529201
370.6466186426371.9432813864371.300914975
493.3755315735495.1282633517494.238188768
426.2582307094430.0136507678428.0661156346
365.5204216171370.8037408628368.1128064055
328.2327410868333.9114373383331.1554799128
473.5385895724479.752949783476.6023304654
409.9723602442418.0414870539414.0449677385
372.2926565763382.9004203838377.4610320934
Males
Girls
All students
Mean score
Data(I.3.12alternative)
-32.1895019635-12
-24.2035503177-12
-21.7590554401-12
-20.9567994738-12
-20.482473284-12
-20.2724549496-12
-19.8517590202-12
-19.3925022061-12
-19.1836670188-12
-18.8807862108-12
-17.6082492854-12
-17.1495759889-12
-16.2624490364-12
-16.1336436983-12
-15.5675178524-12
-15.508742816-12
-14.6003416068-12
-13.8409826923-12
-13.8252779068-12
-13.6424044579-12
-12.29920138-12
-12.1975233313-12
-12.1305259356-12
-12.0178133966-12
-11.8682126974-12
-11.7685144479-12
-11.5028828708-12
-11.2246162712-12
-10.9461408249-12
-10.682822279-12
-10.4369866349-12
-9.9371368238-12
-9.4235609582-12
-8.8217408009-12
-8.2429238048-12
-8.2226138416-12
-7.7508004683-12
-7.5410097063-12
-5.225685143-12
-5.1798723756-12
-4.9955001736-12
-4.9518900087-12
-4.9091733014-12
-3.6371692319-12
-3.4983481788-12
-3.4667603007-12
-3.4302493064-12
-3.3667080246-12
-2.5991333663-12
-2.5786273774-12
-2.4173772304-12
-2.178790791-12
-1.8500142601-12
-1.3224986889-12
0.4914636414-12
0.5389617774-12
1.2855330696-12
1.2966627438-12
1.7527317782-12
3.7554200584-12
5.2833192457-12
5.6786962515-12
6.2143602106-12
8.0691268097-12
10.6077638075-12
OECD average -12 score points
Boys perform better
Girls perform better
Score difference
#REF!
Score point difference
Fig I.3.12alternative
Data(I.3.12alternative)
Mean score, variation and gender differences in student performance on the mathematics scale
Gender differences
MalesFemalesDifference (M - F)
Mean scoreMean scoreScore dif.
Column1Column2Column3Column4
A0085085053
A0315345249
A0364214174
A0564694672
A1005004955
A191426430-4
A2334544512
A2764294253
A348493495-2
A3604834812
A3804514438
A392405405-1
A3983623575
A4105425393
A4465465415
A4994974933
A6165485444
A6204954905
A6344984953
A702386387-0
A7054914838
A7805235158
A784371372-1
A788599601-1
A8265025011
A03239438310
A04037435618
A07649047515
A124474480-6
A15239836632
A15654752324
A15853152011
A17053451717
A20352050516
A20854452420
A24652650421
A25050348220
A30051149516
A3445655595
A352372383-11
A37239437916
A37646545411
A40040839612
A41749947919
A42850648720
A43845144011
A440328334-6
A44243342112
A48453352112
A52849348112
A55449347518
A57842541214
A59147345914
A60449648412
A64256154714
A64337836612
A6885165089
A703366371-5
A72443141021
A75249747720
A7564354278
A76450448915
A79244943712
A840410418-8
A85851950910
trend points275625
275625
Mean score on the mathematics scale
Gender difference (girls - boys)
Table 7.1a
Fig I.3.12_alternative
Performance of males and females on the mathematics scale
&R&D&T&Z&F&A
Table 7.1a
ColombiaColombiaColombiaColombia383.2348127202Colombia505.4590409029275
LiechtensteinLiechtensteinLiechtensteinLiechtenstein356.2148046638Liechtenstein524.3938174319625
BelgiumBelgiumBelgiumBelgium475.404164683Belgium417.010817955
ChileChileChileChile479.752949783Chile466.7324188809
United KingdomUnited KingdomUnited KingdomUnited Kingdom365.5203980622United Kingdom495.4019245725
United StatesUnited StatesUnited StatesUnited States523.2229418056United States430.0136507678
SwitzerlandSwitzerlandSwitzerlandSwitzerland519.6023728341Switzerland451.2976682896
LuxembourgLuxembourgLuxembourgLuxembourg517.3069184461Luxembourg425.3957643963
AustriaAustriaAustriaAustria504.8246625668Austria495.1282633517
SpainSpainSpainSpain523.8593197282Spain481.0410142682
PeruPeruPeruPeru504.3443368667Peru442.8166252748
NetherlandsNetherlandsNetherlandsNetherlands482.3635810647Netherlands405.1580502008
FranceFranceFranceFrance495.2927704824France357.1763519406
DenmarkDenmarkDenmarkDenmark559.3619585818Denmark539.2123728749
GermanyGermanyGermanyGermany382.9004203838Germany540.7028250411
BrazilBrazilBrazilBrazil378.5389832987Brazil493.0528009542
ItalyItalyItalyItaly454.2786440433Italy544.139210153
Hong Kong-ChinaHong Kong-ChinaHong Kong-ChinaHong Kong-China396.3074939893Hong Kong-China490.1787386232
GreeceGreeceGreeceGreece479.2421426388Greece495.3954404957
MexicoMexicoMexicoMexico486.836078538Mexico386.9113370256
UruguayUruguayUruguayUruguay439.8029318785Uruguay483.3180535815
TunisiaTunisiaTunisiaTunisia333.9114373383Tunisia515.3456853973
MontenegroMontenegroMontenegroMontenegro420.940154421Montenegro371.9432813864
HungaryHungaryHungaryHungary520.8320336669Hungary600.7132275085
CanadaCanadaCanadaCanada481.1364999023Canada500.7979717041
PortugalPortugalPortugalPortugal474.5996732624Portugal
SerbiaSerbiaSerbiaSerbia411.7696898843Serbia
Macao-ChinaMacao-ChinaMacao-ChinaMacao-China459.3070975797Macao-China
TurkeyTurkeyTurkeyTurkey484.1105951117Turkey
CroatiaCroatiaCroatiaCroatia547.2023826612Croatia
ArgentinaArgentinaArgentinaArgentina365.6812615501Argentina
AustraliaAustraliaAustraliaAustralia507.5373128336Australia
JapanJapanJapanJapan370.8037408628Japan
EstoniaEstoniaEstoniaEstonia410.3759145831Estonia
IsraelIsraelIsraelIsrael476.992552038Israel
AzerbaijanAzerbaijanAzerbaijanAzerbaijan426.7677279575Azerbaijan
New ZealandNew ZealandNew ZealandNew Zealand488.9000570671New Zealand
IrelandIrelandIrelandIreland436.6168536504Ireland
SingaporeSingaporeSingaporeSingapore418.0414870539Singapore
PanamaPanamaPanamaPanama509.4565508708Panama
Females perform better than males
Males perform better than females
Sign
non sign
Trend
Male score
Female score
Data FI.3.20
Table 7.1aCould you give us the median also please
Mean score, variation and gender differences in student performance on the mathematics scale(column on the right side of the table)
All studentsGender differencesPercentiles
Mean scoreStandard deviationMalesFemalesDifference (M - F)5th10th25th75th90th95th50th
MeanS.E.S.D.S.E.Mean scoreS.E.Mean scoreS.E.Score dif.S.E.ScoreS.E.ScoreS.E.ScoreS.E.ScoreS.E.ScoreS.E.ScoreS.E.ScoreS.E.
A008508(0.0)90(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A031528(0.0)93(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A032390(0.0)93(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A036419(0.0)77(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A040364(0.0)89(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A056470(0.0)87(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A076480(0.0)94(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A100499(0.0)85(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A124476(0.0)87(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A152385(0.0)77(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A156532(0.0)95(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A158526(0.0)86(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A170531(0.0)89(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A191426(0.0)100(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A203510(0.0)100(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A208535(0.0)100(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A233444(0.0)98(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A246517(0.0)107(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A250493(0.0)86(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A276427(0.0)80(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A300500(0.0)87(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A344558(0.0)106(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A348496(0.0)94(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A352374(0.0)92(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A360486(0.0)78(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A372383(0.0)80(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A376459(0.0)90(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A380446(0.0)102(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A392405(0.0)84(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A398355(0.0)80(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A400395(0.0)82(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A410541(0.0)84(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A417492(0.0)98(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A428490(0.0)104(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A438439(0.0)94(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A440330(0.0)82(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A442423(0.0)91(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A446544(0.0)108(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A484528(0.0)89(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
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A554487(0.0)90(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A578423(0.0)78(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A591466(0.0)90(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A604491(0.0)93(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A616549(0.0)86(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
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A642557(0.0)97(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A643365(0.0)78(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
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A764497(0.0)102(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
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A792440(0.0)92(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A826486(0.0)95(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A840412(0.0)99(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
A858511(0.0)94(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
ATOT0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)0(0.0)
AAVG0(0.0)0(0.0)
&R&D &T &Z&F
Fig I.3.20
Table I.3.4OLD Table 7.2b
Percentage of students at each proficiency level on the science scale
change in negative values (Below Level1, Level 1, Level 2)sort by this column
Proficiency levels
Below Level 1Level 1Level 2Level 3Level 4Level 5Level 6Sum Level 2, 3, 4, 5 and 6
%%%%%%%S.E.
Column1Column2Column4Column6Column8Column10Column12Column14Column15Column16
Shanghai-China-0.4-2.810.526.036.120.43.9(0.0)96.8
Finland-1.1-4.915.328.831.215.43.3(0.0)94.0
Korea-1.1-5.218.533.130.410.51.1(0.0)93.7
Hong Kong-China-1.4-5.215.129.432.714.22.0(0.0)93.4
Estonia-1.3-7.021.334.325.79.01.4(0.0)91.7
Canada-2.0-7.520.931.226.210.51.6(0.0)90.4
Macao-China-1.5-8.125.237.822.74.50.2(0.0)90.4
Japan-3.2-7.516.326.629.514.42.6(0.0)89.3
Chinese Taipei-2.2-8.921.133.325.88.00.8(0.0)88.9
Liechtenstein-1.4-9.923.829.825.49.00.7(0.0)88.7
Singapore-2.8-8.717.525.425.715.34.6(0.0)88.5
Australia-3.4-9.220.028.424.511.53.1(0.0)87.4
Poland-2.3-10.926.132.121.26.80.8(0.0)86.9
Netherlands-2.6-10.621.826.925.311.21.5(0.0)86.8
New Zealand-4.0-9.418.125.825.114.03.6(0.0)86.6
Switzerland-3.5-10.621.329.824.19.21.5(0.0)86.0
Hungary-3.8-10.425.533.221.85.10.3(0.0)85.9
Latvia-2.3-12.529.135.517.63.00.1(0.0)85.3
Slovenia-3.1-11.723.728.723.08.71.2(0.0)85.2
Germany-4.1-10.720.127.325.010.91.9(0.0)85.2
United Kingdom-3.8-11.222.728.822.29.51.9(0.0)85.0
Ireland-4.4-10.723.329.922.97.51.2(0.0)84.8
Norway-3.8-11.926.631.120.15.90.5(0.0)84.2
Portugal-3.0-13.528.932.318.13.90.3(0.0)83.5
Denmark-4.1-12.526.030.620.15.90.9(0.0)83.4
Lithuania-3.5-13.528.932.417.04.30.4(0.0)83.0
Czech Republic-4.7-12.625.628.819.97.21.2(0.0)82.7
Iceland-5.5-12.525.830.418.86.10.8(0.0)82.1
Belgium-6.4-11.720.727.224.09.01.1(0.0)82.0
United States-4.2-13.925.027.520.17.91.3(0.0)81.9
Spain-4.6-13.627.932.317.63.70.2(0.0)81.8
Croatia-3.6-14.930.031.116.73.50.2(0.0)81.5
Sweden-5.8-13.425.628.418.77.11.0(0.0)80.9
Slovak Republic-5.0-14.227.629.217.75.60.7(0.0)80.7
France-7.1-12.222.128.821.77.30.8(0.0)80.7
Italy-6.1-14.525.529.518.65.30.5(0.0)79.4
Austria-6.7-14.323.826.620.67.11.0(0.0)79.1
Russian Federation-5.5-16.530.729.013.93.90.4(0.0)78.0
Luxembourg-8.4-15.324.327.118.26.00.7(0.0)76.3
Greece-7.2-18.129.827.914.02.80.3(0.0)74.7
Turkey-6.9-23.034.525.29.11.10.0(0.0)70.0
Dubai (UAE)-11.0-19.526.022.914.94.80.8(0.0)69.5
Chile-8.4-23.935.223.67.91.10.0(0.0)67.7
Israel-13.9-19.226.024.112.83.50.5(0.0)66.9
Serbia-10.1-24.333.923.67.11.00.0(0.0)65.6
Bulgaria-16.5-22.326.621.010.92.40.2(0.0)61.2
Romania-11.9-29.534.119.74.40.40.0(0.0)58.6
Uruguay-17.0-25.629.319.57.11.40.1(0.0)57.4
Thailand-12.2-30.634.717.54.40.60.0(0.0)57.2
Jordan-18.0-27.632.217.64.10.50.0(0.0)54.4
Mexico-14.5-32.833.615.83.10.20.0(0.0)52.6
Trinidad and Tobago-25.1-24.925.216.07.11.80.1(0.0)50.1
Argentina-25.2-27.226.715.44.80.60.0(0.0)47.6
Montenegro-22.2-31.429.413.63.10.20.0(0.0)46.4
Tunisia-21.3-32.430.913.02.20.20.0(0.0)46.3
Colombia-20.4-33.730.213.12.50.10.0(0.0)45.9
Brazil-19.7-34.528.812.63.90.60.0(0.0)45.8
Kazakhstan-22.4-33.027.912.83.60.30.0(0.0)44.6
Albania-26.3-31.027.712.92.00.10.0(0.0)42.7
Panama-32.8-32.423.29.32.20.20.0(0.0)34.9
Qatar-36.4-28.818.89.84.81.30.1(0.0)34.8
Indonesia-24.6-41.027.06.90.50.00.0(0.0)34.4
Peru-35.3-33.021.78.01.80.20.0(0.0)31.7
Azerbaijan-31.5-38.522.46.70.80.00.0(0.0)30.0
Kyrgyzstan-52.9-29.013.34.00.70.00.0(0.0)18.0
&R&D &T &Z&F
Fig I.3.21
Figure I.3.20
How proficient are students in science?
Percentage of students at the different levels of science proficiency
Countries are ranked in descending order of the percentage of students at Levels 2, 3, 4, 5 and 6.
&R&D&T&Z&F&A
Fig I.3.21
0000000-2.7596989712-0.407722637710.515829750525.967321609536.058959056720.36676921913.9236987553
0000000-4.9152114385-1.098460335115.26260225528.779080029731.243193483615.38539850953.3160539487
0000000-5.2395087603-1.094989224718.502388023433.14442877930.396925199710.54492038431.0768396285
0000000-5.1948548106-1.426798692315.104217797429.377106470132.706973249914.16484834292.0252006367
0000000-7.049764644-1.267978675221.313687448334.294228886525.6824884018.95405484851.4377970965
0000000-7.5041646483-2.04653267620.888766344831.228628782426.228243825410.51617396061.5874897624
0000000-8.1267221657-1.507023796925.165614706237.772451457922.65274376674.54109592020.2343481864
0000000-7.4683485482-3.211011155116.26983548426.600876228729.514670890714.38335923462.5518984589
0000000-8.8857146447-2.167898862521.102063424933.259032204425.75650890768.03255028320.7962316728
0000000-9.9143856604-1.391052195523.796283295229.833866421925.35795034848.97672430250.7297377763
0000000-8.7111386422-2.783545126417.499696270125.38238480625.714423623915.3160687594.5927427724
0000000-9.156625482-3.395626906719.978199450728.428719028124.502513635211.45016310333.0881523941
0000000-10.861927903-2.286708320726.069658592732.07711184121.15834087846.77424075120.7720117131
0000000-10.6151129918-2.563148673121.82556400626.914834751225.342294450111.23927602461.4997691031
0000000-9.3750958942-3.982270791518.052560798225.829986123925.131176075313.97989842663.6490118904
0000000-10.5584778994-3.474517263721.314804084929.793983227324.11424337949.20883304911.5351410962
0000000-10.3506291733-3.79815753125.509178249633.175956955821.78070687095.08642047150.298950748
0000000-12.4608036118-2.260167606129.068005427335.530002515717.58071086252.98158373310.1187262435
0000000-11.6975365599-3.058546639923.724515631428.680128401522.95248565628.72608852651.1606985846
0000000-10.7017097746-4.070266348120.128328718927.337950124.971519762210.85828858261.9319367136
0000000-11.1879543887-3.830243795322.665011245128.764641041322.17640281329.49259009741.883156619
0000000-10.7426212752-4.431840627223.293999260429.927797400722.89372913167.52672141421.1832908906
0000000-11.9323810237-3.823132404626.645909058431.114914749920.06162298015.90056885780.5214709255
0000000-13.481905803-3.022096535128.913126814832.345640638318.06313529223.90699964990.2670952667
0000000-12.4554783093-4.104767082626.017396915530.637761819520.05905253935.86413258090.8614107529
0000000-13.519800532-3.477315361228.929038492532.447492318617.00568494594.25841680590.3622515439
0000000-12.6473477207-4.664644072225.581728973128.834284692719.91393189417.15675328591.2013093614
0000000-12.4745420682-5.467585432425.820469016630.448422002518.83070338356.12573485040.8325432463
0000000-11.6814338852-6.36092988320.655569066127.192138017624.01715509419.04140723731.0513668169
0000000-13.9109803417-4.193155209325.033063642227.545669465520.1401137297.88985632771.2871612845
0000000-13.6243421319-4.605024855127.92386185932.328457175517.55008424953.7463593930.2218703359
0000000-14.8957937406-3.586057940529.978378415631.114083970216.73005107763.49283336060.202801495
0000000-13.3533757808-5.779335860525.629109289328.430815039818.69568597217.08951089491.0221671625
0000000-14.2101042937-5.047540792527.59685456929.171378758517.74046052825.55322860740.6804324507
0000000-12.1651102889-7.106442906322.072804287928.849945507521.67206431327.30924629080.8243864054
0000000-14.5142887664-6.115488912925.4676483229.462197130618.64335160385.30925770330.487767563
0000000-14.2673539781-6.674046706223.842273225726.607844519520.5813540417.05037216540.9767553641
0000000-16.5036193805-5.49335133230.665850880529.035987088513.94207379453.91253013480.4465873891
0000000-15.2597306374-8.440526068424.30886497227.123568711718.15351330066.01650311160.6972931983
0000000-18.1234896751-7.156551378229.798078208827.874707441213.98678999792.78456063820.2758226606
0000000-23.041592054-6.936285415634.545805318325.21034627199.14374160121.07378367210.048445667
0000000-19.4966297726-11.04620268826.01652991622.930886857214.9296929164.78205187140.7980059788
0000000-23.9198840417-8.35462735235.165431737723.61456510817.85724142271.05715165020.0310986876
0000000-19.2284270855-13.87219740826.012566255724.125492882512.82592776793.48153835450.4538502459
0000000-24.2513687572-10.134263975233.872686364223.61610615547.08289597611.01784855390.0248302181
0000000-22.2712227311-16.544697043726.620470958920.997333932510.91687803832.44172353250.207673763
0000000-29.4659053647-11.927540318934.120651611419.70310546934.38555365040.38465421790.0125893673
0000000-25.6288810321-16.961438034729.264314394219.53572006837.09941630791.40813543680.102094726
0000000-30.6139361082-12.184584194634.697742093317.4700762974.41474378890.58887630330.0300412149
0000000-27.5969901554-18.03665138932.203154755817.5721512374.12008290050.45963599780.0113335646
0000000-32.8412798361-14.516276099333.570055601915.78302040043.08799511230.19581806480.0055548851
0000000-24.8504899951-25.05292249225.156348907215.97039619787.10475851351.76544197270.0996419217
0000000-27.2130924152-25.197964718126.700845513115.40821635934.82838647970.61679316380.0347013508
0000000-31.3904561898-22.175483536529.445085554313.60428382783.1375689680.24712192360
0000000-32.3838637458-21.349691284630.906898206913.01670941962.18322098360.15117220350.0084441559
0000000-33.6914366021-20.393913213730.183770114413.11164793952.48174435350.13513386230.0023539145
0000000-34.4712802405-19.710346471228.783586098312.61681086423.85153128880.55339786980.0130471672
0000000-32.9639850276-22.449465651727.85561329712.7947162433.61147682610.31165651820.0130864364
0000000-30.9845865663-26.305592940327.657344731712.91148928132.04816726330.0928192170
0000000-32.3541922321-32.777805079623.17207109189.30984579942.17585652030.21022927680
0000000-28.78036821-36.423052398718.75163425459.80783360134.81087796631.28790330410.1383302651
0000000-41.0263811243-24.567173840826.95291554516.91769387430.52895827010.00687734540
0000000-33.0243410418-35.283445391621.70001521617.9944620821.79543591340.1823276860.0199726691
0000000-38.4741212619-31.54546494522.43208291556.70690118380.81461819990.02681149380
0000000-29.0438684691-52.913953696913.25415833774.00980625470.73559050990.04262273170
Students at Level 1 or below
Students at Level 2 or above
Below Level 1
Level 1
Level 2
Level 3
Level 4
Level 5
Level 6
Level 1
Below Level 1
Level 2
Level 3
Level 4
Level 5
Level 6
%
Fig I.3.22
Figure I.3.21
Comparing countries' performance in science
MeanComparison countryCountries whose mean score is NOT statistically significantly different from that comparison country
575Shanghai-China
554FinlandHong Kong-China
549Hong Kong-ChinaFinland
542SingaporeJapan, Korea
539JapanSingapore, Korea, New Zealand
538KoreaSingapore, Japan, New Zealand
532New ZealandJapan, Korea, Canada, Estonia, Australia, Netherlands
529CanadaNew Zealand, Estonia, Australia, Netherlands
528EstoniaNew Zealand, Canada, Australia, Netherlands, Germany, Liechtenstein
527AustraliaNew Zealand, Canada, Estonia, Netherlands, Chinese Taipei, Germany, Liechtenstein
522NetherlandsNew Zealand, Canada, Estonia, Australia, Chinese Taipei, Germany, Liechtenstein, Switzerland, United Kingdom, Slovenia
520Chinese TaipeiAustralia, Netherlands, Germany, Liechtenstein, Switzerland, United Kingdom
520GermanyEstonia, Australia, Netherlands, Chinese Taipei, Liechtenstein, Switzerland, United Kingdom
520LiechtensteinEstonia, Australia, Netherlands, Chinese Taipei, Germany, Switzerland, United Kingdom
517SwitzerlandNetherlands, Chinese Taipei, Germany, Liechtenstein, United Kingdom, Slovenia, Macao-China
514United KingdomNetherlands, Chinese Taipei, Germany, Liechtenstein, Switzerland, Slovenia, Macao-China, Poland, Ireland
512SloveniaNetherlands, Switzerland, United Kingdom, Macao-China, Poland, Ireland, Belgium
511Macao-ChinaSwitzerland, United Kingdom, Slovenia, Poland, Ireland, Belgium
508PolandUnited Kingdom, Slovenia, Macao-China, Ireland, Belgium, Hungary, United States
508IrelandUnited Kingdom, Slovenia, Macao-China, Poland, Belgium, Hungary, United States, Czech Republic, Norway
507BelgiumSlovenia, Macao-China, Poland, Ireland, Hungary, United States, Czech Republic, Norway, France
503HungaryPoland, Ireland, Belgium, United States, Czech Republic, Norway, Denmark, France, Sweden, Austria
502United StatesPoland, Ireland, Belgium, Hungary, Czech Republic, Norway, Denmark, France, Iceland, Sweden, Austria, Latvia, Portugal
500Czech RepublicIreland, Belgium, Hungary, United States, Norway, Denmark, France, Iceland, Sweden, Austria, Latvia, Portugal
500NorwayIreland, Belgium, Hungary, United States, Czech Republic, Denmark, France, Iceland, Sweden, Austria, Latvia, Portugal
499DenmarkHungary, United States, Czech Republic, Norway, France, Iceland, Sweden, Austria, Latvia, Portugal
498FranceBelgium, Hungary, United States, Czech Republic, Norway, Denmark, Iceland, Sweden, Austria, Latvia, Portugal, Lithuania, Slovak Republic
496IcelandUnited States, Czech Republic, Norway, Denmark, France, Sweden, Austria, Latvia, Portugal, Lithuania, Slovak Republic
495SwedenHungary, United States, Czech Republic, Norway, Denmark, France, Iceland, Austria, Latvia, Portugal, Lithuania, Slovak Republic, Italy
494AustriaHungary, United States, Czech Republic, Norway, Denmark, France, Iceland, Sweden, Latvia, Portugal, Lithuania, Slovak Republic, Italy, Spain, Croatia
494LatviaUnited States, Czech Republic, Norway, Denmark, France, Iceland, Sweden, Austria, Portugal, Lithuania, Slovak Republic, Italy, Spain, Croatia
493PortugalUnited States, Czech Republic, Norway, Denmark, France, Iceland, Sweden, Austria, Latvia, Lithuania, Slovak Republic, Italy, Spain, Croatia
491LithuaniaFrance, Iceland, Sweden, Austria, Latvia, Portugal, Slovak Republic, Italy, Spain, Croatia
490Slovak RepublicFrance, Iceland, Sweden, Austria, Latvia, Portugal, Lithuania, Italy, Spain, Croatia
489ItalySweden, Austria, Latvia, Portugal, Lithuania, Slovak Republic, Spain, Croatia
488SpainAustria, Latvia, Portugal, Lithuania, Slovak Republic, Italy, Croatia, Luxembourg
486CroatiaAustria, Latvia, Portugal, Lithuania, Slovak Republic, Italy, Spain, Luxembourg, Russian Federation
484LuxembourgSpain, Croatia, Russian Federation
478Russian FederationCroatia, Luxembourg, Greece
470GreeceRussian Federation, Dubai (UAE)
466Dubai (UAE)Greece
455IsraelTurkey, Chile
454TurkeyIsrael, Chile
447ChileIsrael, Turkey, Serbia, Bulgaria
443SerbiaChile, Bulgaria
439BulgariaChile, Serbia, Romania, Uruguay
428RomaniaBulgaria, Uruguay, Thailand
427UruguayBulgaria, Romania, Thailand
425ThailandRomania, Uruguay
416MexicoJordan
415JordanMexico, Trinidad and Tobago
410Trinidad and TobagoJordan, Brazil
405BrazilTrinidad and Tobago, Colombia, Montenegro, Argentina, Tunisia, Kazakhstan
402ColombiaBrazil, Montenegro, Argentina, Tunisia, Kazakhstan
401MontenegroBrazil, Colombia, Argentina, Tunisia, Kazakhstan
401ArgentinaBrazil, Colombia, Montenegro, Tunisia, Kazakhstan, Albania
401TunisiaBrazil, Colombia, Montenegro, Argentina, Kazakhstan
400KazakhstanBrazil, Colombia, Montenegro, Argentina, Tunisia, Albania
391AlbaniaArgentina, Kazakhstan, Indonesia
383IndonesiaAlbania, Qatar, Panama, Azerbaijan
379QatarIndonesia, Panama
376PanamaIndonesia, Qatar, Azerbaijan, Peru
373AzerbaijanIndonesia, Panama, Peru
369PeruPanama, Azerbaijan
330Kyrgyzstan
Statistically significantly above the OECD average
Not statistically significantly different from the OECD average
Statistically significantly below the OECD average
&R&D&T&Z&F&A&F
Data F I.3.23
Figure I.3.22
Where countries rank in science performance
Statistically significantly above the OECD average
Not statistically significantly different from the OECD average
Statistically significantly below the OECD average
Science
S.E.Range of rank
OECD countriesAll countries/economies
Mean scoreUpper rankLower rankUpper rankLower rank
Shanghai-China575(2.3)11
Finland554(2.3)1123
Hong Kong-China549(2.8)23
Singapore542(1.4)46
Japan539(3.4)2346
Korea538(3.4)2447
New Zealand532(2.6)3669
Canada529(1.6)47710
Estonia528(2.7)48711
Australia527(2.5)48711
Netherlands522(5.4)411716
Chinese Taipei520(2.6)1115
Germany520(2.8)7101015
Liechtenstein520(3.4)1016
Switzerland517(2.8)8121217
United Kingdom514(2.5)9131419
Slovenia512(1.1)10131619
Macao-China511(1.0)1619
Poland508(2.4)12161722
Ireland508(3.3)11171623
Belgium507(2.5)12171824
Hungary503(3.1)13211927
United States502(3.6)13221929
Czech Republic500(3.0)15232129
Norway500(2.6)16232129
Denmark499(2.5)16232230
France498(3.6)16252233
Iceland496(1.4)20252632
Sweden495(2.7)19262534
Austria494(3.2)19282536
Latvia494(3.1)2535
Portugal493(2.9)21282736
Lithuania491(2.9)2837
Slovak Republic490(3.0)23292937
Italy489(1.8)25283237
Spain488(2.1)25293237
Croatia486(2.8)3339
Luxembourg484(1.2)28293739
Russian Federation478(3.3)3840
Greece470(4.0)30303941
Dubai (UAE)466(1.2)4041
Israel455(3.1)31324243
Turkey454(3.6)31334244
Chile447(2.9)32334345
Serbia443(2.4)4446
Bulgaria439(5.9)4447
Romania428(3.4)4749
Uruguay427(2.6)4749
Thailand425(3.0)4749
Mexico416(1.8)34345051
Jordan415(3.5)5052
Trinidad and Tobago410(1.2)5153
Brazil405(2.4)5256
Colombia402(3.6)5358
Montenegro401(2.0)5458
Argentina401(4.6)5359
Tunisia401(2.7)5358
Kazakhstan400(3.1)5358
Albania391(3.9)5860
Indonesia383(3.8)5962
Qatar379(0.9)6062
Panama376(5.7)6064
Azerbaijan373(3.1)6264
Peru369(3.5)6264
Kyrgyzstan330(2.9)6565
Fig I.3.23
Table I.3.6OLD Table 7.2a
Mean score, variation and gender differences in student performance on the science scale
Gender differences
All studentsBoysGirls
Mean scoreMean scoreScore differenceOECD
Column1Column52Column6Column8Column9Column92
Jordan415398433-350
Albania391377406-290
Dubai (UAE)466453480-270
Qatar379366393-260
Kyrgyzstan330318340-220
Bulgaria439430450-200
Trinidad and Tobago410401419-180
Lithuania491483500-170
Finland554546562-150
Slovenia512505519-140
Thailand425418431-130
Montenegro401395408-130
Turkey454448460-120
Japan539534545-120
Romania428423433-100
Greece470465475-100
Indonesia383378387-90
Croatia486482491-90
Kazakhstan400396405-90
Argentina401397404-80
Azerbaijan373370377-70
Latvia494490497-70
New Zealand532529535-60
Poland508505511-60
Czech Republic500498503-50
Sweden495493497-40
Norway500498502-40
Portugal493491495-30
Russian Federation478477480-30
Israel455453456-30
Ireland508507509-30
Macao-China511510512-20
Korea538537539-20
Panama376375377-20
Italy489488490-20
Serbia443442443-10
Uruguay427427428-10
Singapore542541542-10
Chinese Taipei520520521-10
Australia527527528-10
Estonia528527528-10
Slovak Republic490490491-10
Shanghai-China575574575-10
Hungary50350350300
Tunisia40140140010
Iceland49649649520
Hong Kong-China54955054830
Brazil40540740430
France49850049730
Netherlands52252452040
Peru36937236750
Canada52953152650
Germany52052351860
Belgium50751050360
Mexico41641941360
Luxembourg48448748070
Spain48849248570
Austria49449849080
Switzerland51752051280
Chile44745244390
United Kingdom51451950990
Denmark499505494120
United States502509495140
Liechtenstein520527511160
Colombia402413392210
Trend Points275700
Trend Points275700
&R&D &T &Z&F
Fig I.3.a
Figure I.3.23
Gender differences in science performance
Figure I.3.23Gender differences in science performanceNote: Statistically significant gender differences are marked in a darker tone (see Annex A3).Countries are ranked in ascending order of the score-point difference (girls - boys).Source: OECD PISA 2009 Database, Table I.3.6.
&R&D&T&Z&F&F&A
All students Boys Girls
Mean score on the science scale
Gender difference (girls - boys)
Fig I.3.a
397.9763516955433.0569861847415.3877540497
376.5221284113405.6125943071390.6957520371
453.1862417459480.350428669466.4714535284
366.4874788031392.899676383379.4472444445
318.4528496407340.0054388951329.5456404194
429.7279056111449.5993653084439.2941623464
401.1247017065419.0971060803410.1956396741
482.9358547495500.1240241779491.4097918515
546.3518570932561.8389201244554.0795449133
504.9656610416518.8273475441511.7593645253
417.8772804001430.9508007347425.2962888998
395.1028421866407.7497577483401.2775693213
448.0324430016460.176007292453.9096976859
533.7868615094545.4474118401539.4310038991
423.1197304433433.0544442474428.1788990787
465.1717039643474.8864756711470.1157679089
378.1240507553386.9337747568382.5694396054
482.2283908076491.0235018307486.363425008
396.1718166962404.7037336609400.3761374035
396.6673884403404.4362759517400.8385696906
369.6838438992376.8510396082373.1835433364
490.431693391497.2362967495493.8789144149
528.9870818731535.1536305193532.0068798152
505.116947695511.0227509931508.0682942705
498.2316715604503.07436947500.4971185178
493.3166726769496.9519640229495.1058855346
498.1245889058501.7071282376499.8756744815
491.1658260022494.6556026842492.9499884751
476.7468962488479.820980977478.297502569
453.43926562456.2126358896454.8509606635
506.6442712506509.3584604959507.9841617295
509.8457622709512.3234258634511.0695206792
536.843944132539.2613443052537.9861800012
374.9202366496376.8572483771375.8955512209
487.8918086381489.8249064349488.8313285603
442.1751142572443.4021238496442.7857876371
426.6072583924427.7531377239427.2142928748
541.1443154561542.2655610196541.6955115475
519.9409483941520.9084116945520.4197575957
526.7989884885527.7218945765527.2705429989
527.4413631827528.2507345026527.8317383803
489.9787498237490.5479490141490.265892534
574.3329212763574.8967078494574.6173546933
502.6980530939502.5864880559502.6427394169
400.9262696493400.4212800217400.6614989143
496.492263855494.7146071694495.5984638072
550.2354587312547.6720270644549.0286859115
407.1654616024403.8475079763405.4039577112
499.9391184504496.5987052493498.2269014708
524.1880017853520.2693327305522.2181511364
371.585063683367.0732109845369.351773651
531.0117657035526.3676313569528.7049624122
523.097198855517.5939089716520.4053728749
509.7263086465503.2850533457506.5754904804
419.169677987412.724955089415.9086748177
487.2827687249480.4832402402483.9281223531
491.7967422853484.5951491879488.2546330572
498.339878317490.4653268788494.3276559926
520.4885856738512.4926296104516.5675176813
451.8783197902442.8793288888447.4673542001
518.5211340222509.0752760126513.7102430595
505.1749877034493.6156874104499.3369710438
508.6896458815494.952063223502.0022921187
527.3876564162511.490002439519.9140175199
412.8683917875391.6431810005401.7501110768
Boys
Girls
All students
Mean score
DataFI.3.b
-35.08063448920.0930952999
-29.09046589580.0930952999
-27.16418692310.0930952999
-26.41219757990.0930952999
-21.55258925440.0930952999
-19.87145969730.0930952999
-17.97240437380.0930952999
-17.18816942840.0930952999
-15.48706303120.0930952999
-13.86168650250.0930952999
-13.07352033460.0930952999
-12.64691556170.0930952999
-12.14356429030.0930952999
-11.66055033070.0930952999
-9.93471380410.0930952999
-9.71477170690.0930952999
-8.80972400150.0930952999
-8.79511102310.0930952999
-8.53191696470.0930952999
-7.76888751140.0930952999
-7.1671957090.0930952999
-6.80460335840.0930952999
-6.16654864610.0930952999
-5.90580329810.0930952999
-4.84269790960.0930952999
-3.6352913460.0930952999
-3.58253933180.0930952999
-3.4897766820.0930952999
-3.07408472820.0930952999
-2.77337026960.0930952999
-2.71418924530.0930952999
-2.47766359240.0930952999
-2.41740017320.0930952999
-1.93701172750.0930952999
-1.93309779680.0930952999
-1.22700959250.0930952999
-1.14587933140.0930952999
-1.12124556350.0930952999
-0.96746330040.0930952999
-0.9229060880.0930952999
-0.80937131990.0930952999
-0.56919919040.0930952999
-0.56378657310.0930952999
0.11156503790.0930952999
0.50498962760.0930952999
1.77765668570.0930952999
2.56343166680.0930952999
3.31795362610.0930952999
3.34041320110.0930952999
3.91866905480.0930952999
4.51185269850.0930952999
4.64413434660.0930952999
5.50328988340.0930952999
6.44125530080.0930952999
6.4447228980.0930952999
6.79952848470.0930952999
7.20159309740.0930952999
7.87455143830.0930952999
7.99595606340.0930952999
8.99899090140.0930952999
9.44585800970.0930952999
11.55930029310.0930952999
13.73758265860.0930952999
15.89765397710.0930952999
21.2252107870.0930952999
OECD average0 score-point
Boys perform better
Girls perform better
Score difference
OECD
Score point difference
Fig I.3.b
Figure I.3.aOverlapping of top performers in reading, mathematics and science on average in the OECD
Source: OECD PISA 2009 Database, Table I.3.7.
82.1%
Reading , mathematics and science 4.1%
Mathematics and science 2.5%
Mathematics only 5.0%
Reading only 1.6%
Reading and mathematics 1.2%
Science only 1.2%
Non-top performers in any of the three domains: 83.7%
Reading and science 0.8%
Data(III.2.3)
Table I.3.7
Mean score and percentage of top performers in reading, mathematics and science
READMathematicsScience
Mean scoreTop performersMean scoreTop performersMean scoreTop performers
Level 5(from 633.33 to 707.93 score points)Level 6(above 707.93 score points)Sum (Level 5 + Level 6)Level 5(from 633.33 to 707.93 score points)Level 6(above 707.93 score points)Sum (Level 5 + Level 6)Level 5(from 606.99 to 669.30 score points)Level 6(above 669.30 score points)Sum (Level 5 + Level 6)
Mean%%Mean%%Mean%%
Column1Column2Column3Level 5Level 6Column4Column1Column2concatenate colW colVLevel 5Level 6Lev5+6Column1Column2Column3Level 5Level 6SUM Level 5+6
362AzerbaijanAzerbaijan (362)0.00.00.0331KyrgyzstanKyrgyzstan (331)0.00.00.0383IndonesiaIndonesia (383)0.00.00.0
402IndonesiaIndonesia (402)0.00.00.0371IndonesiaIndonesia (371)0.10.00.1373AzerbaijanAzerbaijan (373)0.00.00.0
314KyrgyzstanKyrgyzstan (314)0.10.00.1381ColombiaColombia (381)0.10.00.1330KyrgyzstanKyrgyzstan (330)0.00.00.0
385AlbaniaAlbania (385)0.20.00.2371TunisiaTunisia (371)0.20.00.3391AlbaniaAlbania (391)0.10.00.1
404TunisiaTunisia (404)0.20.00.2387JordanJordan (387)0.30.00.3402ColombiaColombia (402)0.10.00.1
405JordanJordan (405)0.20.00.2360PanamaPanama (360)0.40.00.4401TunisiaTunisia (401)0.20.00.2
421ThailandThailand (421)0.30.00.3377AlbaniaAlbania (377)0.40.00.4416MexicoMexico (416)0.20.00.2
390KazakhstanKazakhstan (390)0.40.00.4365PeruPeru (365)0.50.10.6369PeruPeru (369)0.20.00.2
425MexicoMexico (425)0.40.00.4419MexicoMexico (419)0.70.00.7376PanamaPanama (376)0.20.00.2
370PeruPeru (370)0.40.00.5386BrazilBrazil (386)0.70.10.8401MontenegroMontenegro (401)0.20.00.2
371PanamaPanama (371)0.50.00.5388ArgentinaArgentina (388)0.80.10.9400KazakhstanKazakhstan (400)0.30.00.3
413ColombiaColombia (413)0.50.00.6403MontenegroMontenegro (403)0.90.11.0428RomaniaRomania (428)0.40.00.4
408MontenegroMontenegro (408)0.60.00.6431AzerbaijanAzerbaijan (431)0.90.21.1415JordanJordan (415)0.50.00.5
424RomaniaRomania (424)0.70.00.7405KazakhstanKazakhstan (405)0.90.31.2405BrazilBrazil (405)0.60.00.6
442SerbiaSerbia (442)0.80.00.8427RomaniaRomania (427)1.20.11.3425ThailandThailand (425)0.60.00.6
398ArgentinaArgentina (398)0.90.11.0419ThailandThailand (419)1.00.31.3401ArgentinaArgentina (401)0.60.00.7
449ChileChile (449)1.30.01.3421ChileChile (421)1.20.11.3443SerbiaSerbia (443)1.00.01.0
412BrazilBrazil (412)1.20.11.3368QatarQatar (368)1.50.31.8447ChileChile (447)1.10.01.1
372QatarQatar (372)1.50.21.7427UruguayUruguay (427)2.10.32.4454TurkeyTurkey (454)1.10.01.1
426UruguayUruguay (426)1.70.11.8414Trinidad and TobagoTrinidad and Tobago (414)2.10.32.5379QatarQatar (379)1.30.11.4
464TurkeyTurkey (464)1.80.01.9442SerbiaSerbia (442)2.90.63.5427UruguayUruguay (427)1.40.11.5
416Trinidad and TobagoTrinidad and Tobago (416)2.10.22.3428BulgariaBulgaria (428)3.00.83.8410Trinidad and TobagoTrinidad and Tobago (410)1.80.11.9
429BulgariaBulgaria (429)2.60.22.8460CroatiaCroatia (460)4.30.64.9439BulgariaBulgaria (439)2.40.22.6
487Macao-ChinaMacao-China (487)2.80.12.9468Russian FederationRussian Federation (468)4.31.05.2470GreeceGreece (470)2.80.33.1
468LithuaniaLithuania (468)2.80.12.9445TurkeyTurkey (445)4.41.35.6494LatviaLatvia (494)3.00.13.1
484LatviaLatvia (484)2.90.12.9482LatviaLatvia (482)5.10.65.7486CroatiaCroatia (486)3.50.23.7
459Russian FederationRussian Federation (459)2.80.33.2466GreeceGreece (466)4.90.85.7455IsraelIsrael (455)3.50.53.9
476CroatiaCroatia (476)3.10.13.2447IsraelIsrael (447)4.71.25.9488SpainSpain (488)3.70.24.0
481SpainSpain (481)3.20.23.3453Dubai (UAE)Dubai (UAE) (453)5.31.26.5493PortugalPortugal (493)3.90.34.2
477Slovak RepublicSlovak Republic (477)4.20.34.5487IrelandIreland (487)5.80.96.7478Russian FederationRussian Federation (478)3.90.44.4
483SloveniaSlovenia (483)4.30.34.6477LithuaniaLithuania (477)5.71.37.0491LithuaniaLithuania (491)4.30.44.6
499LiechtensteinLiechtenstein (499)4.20.44.6483SpainSpain (483)6.71.38.0511Macao-ChinaMacao-China (511)4.50.24.8
495DenmarkDenmark (495)4.40.34.7483ItalyItaly (483)7.41.69.0503HungaryHungary (503)5.10.35.4
489PortugalPortugal (489)4.60.24.8487PortugalPortugal (487)7.71.99.6466Dubai (UAE)Dubai (UAE) (466)4.80.85.6
470AustriaAustria (470)4.50.44.9492United KingdomUnited Kingdom (492)8.11.89.8489ItalyItaly (489)5.30.55.8
478Czech RepublicCzech Republic (478)4.70.45.1487United StatesUnited States (487)8.01.99.9490Slovak RepublicSlovak Republic (490)5.60.76.2
495Chinese TaipeiChinese Taipei (495)4.80.45.2490HungaryHungary (490)8.12.010.1500NorwayNorway (500)5.90.56.4
459Dubai (UAE)Dubai (UAE) (459)4.80.55.3498NorwayNorway (498)8.41.810.2484LuxembourgLuxembourg (484)6.00.76.7
483GreeceGreece (483)5.00.65.6495PolandPoland (495)8.22.210.4499DenmarkDenmark (499)5.90.96.7
472LuxembourgLuxembourg (472)5.20.55.7489LuxembourgLuxembourg (489)9.02.311.4496IcelandIceland (496)6.10.87.0
486ItalyItaly (486)5.40.45.8494SwedenSweden (494)8.92.511.4508PolandPoland (508)6.80.87.5
501EstoniaEstonia (501)5.40.66.1503DenmarkDenmark (503)9.12.511.6495AustriaAustria (495)7.11.08.0
494HungaryHungary (494)5.80.36.1493Czech RepublicCzech Republic (493)8.53.211.6495SwedenSweden (495)7.11.08.1
496IrelandIreland (496)6.30.77.0512EstoniaEstonia (512)9.82.212.1498FranceFrance (498)7.30.88.1
500PolandPoland (500)6.50.77.2497Slovak RepublicSlovak Republic (497)9.13.612.7500Czech RepublicCzech Republic (500)7.21.28.4
474IsraelIsrael (474)6.41.07.4496OECD averageOECD average (496)9.63.112.7501OECD averageOECD average (501)7.41.18.5
497GermanyGermany (497)7.00.67.6496AustriaAustria (496)9.93.012.9508IrelandIreland (508)7.51.28.7
492OECD averageOECD average (492)7.01.07.9507IcelandIceland (507)10.53.113.6520Chinese TaipeiChinese Taipei (520)8.00.88.8
494United KingdomUnited Kingdom (494)7.01.08.0497FranceFrance (497)10.43.313.7502United StatesUnited States (502)7.91.39.2
501SwitzerlandSwitzerland (501)7.40.78.1501SloveniaSlovenia (501)10.33.914.2520LiechtensteinLiechtenstein (520)9.00.79.7
503NorwayNorway (503)7.60.88.4514AustraliaAustralia (514)11.94.516.4512SloveniaSlovenia (512)8.71.29.9
500IcelandIceland (500)7.51.08.5525Macao-ChinaMacao-China (525)12.84.317.1507BelgiumBelgium (507)9.01.110.1
497SwedenSweden (497)7.71.39.0513GermanyGermany (513)13.24.617.8528EstoniaEstonia (528)9.01.410.4
496FranceFrance (496)8.51.19.6536LiechtensteinLiechtenstein (536)13.05.018.1517SwitzerlandSwitzerland (517)9.21.510.7
508NetherlandsNetherlands (508)9.10.79.8527CanadaCanada (527)13.94.418.3514United KingdomUnited Kingdom (514)9.51.911.4
500United StatesUnited States (500)8.41.59.9519New ZealandNew Zealand (519)13.65.318.9538KoreaKorea (538)10.51.111.6
506BelgiumBelgium (506)10.11.111.2526NetherlandsNetherlands (526)15.44.419.9529CanadaCanada (529)10.51.612.1
533Hong Kong-ChinaHong Kong-China (533)11.21.212.4515BelgiumBelgium (515)14.65.820.4522NetherlandsNetherlands (522)11.21.512.7
524CanadaCanada (524)11.01.812.8529JapanJapan (529)14.76.220.9520GermanyGermany (520)10.91.912.8
515AustraliaAustralia (515)10.72.112.8541FinlandFinland (541)16.74.921.7527AustraliaAustralia (527)11.53.114.5
539KoreaKorea (539)11.91.012.9534SwitzerlandSwitzerland (534)16.37.824.1549Hong Kong-ChinaHong Kong-China (549)14.22.016.2
520JapanJapan (520)11.51.913.4546KoreaKorea (546)17.77.825.6539JapanJapan (539)14.42.616.9
536FinlandFinland (536)12.91.614.5543Chinese TaipeiChinese Taipei (543)17.211.328.6532New ZealandNew Zealand (532)14.03.617.6
526SingaporeSingapore (526)13.12.615.7555Hong Kong-ChinaHong Kong-China (555)19.910.830.7554FinlandFinland (554)15.43.318.7
521New ZealandNew Zealand (521)12.92.915.7562SingaporeSingapore (562)20.015.635.6542SingaporeSingapore (542)15.34.619.9
556Shanghai-ChinaShanghai-China (556)17.02.419.5600Shanghai-ChinaShanghai-China (600)23.826.650.4575Shanghai-ChinaShanghai-China (575)20.43.924.3
Fig 7.3-alternaitve
Figure I.3.b
Top performers in reading, mathematics and science
Percentage of students reaching the two highest levels of proficiencyLevel 5
Level 6
Countries are ranked in descending order of the percentage of top performers (Levels 5 and 6).
Fig 7.3-alternaitve
0.03915223690
0.07517618760
0.11554153010.0001731937
0.2478199370.0156969339
0.26641090810.0004612899
0.35487499280.0235124298
0.39443008010.0117324898
0.53308181010.0923053325
0.65948741490.048070495
0.72886821840.0700381705
0.79343063250.0656100103
0.9077342090.0524928322
0.853413070.2261448448
0.9000530310.257975862
1.17951633980.0759062367
0.97925177780.2792064104
1.20874771040.1138395287
1.48977733670.2872635274
2.08276447070.3340737474
2.1180334630.3440927434
2.91161298070.6261606673
3.02755476660.7533171493
4.30164226540.6212806272
4.25553736030.9801937356
4.37775282731.2629419469
5.08383815540.6189716348
4.90902284060.819361469
4.7003571571.1697486686
5.2558312261.2179851021
5.78789406770.8694675211
5.67483696941.300995008
6.73426434041.3157154074
7.36148441061.5997174586
7.71753149591.9143869906
8.09124417091.758539419
8.03532622051.8808255342
8.13688864781.9567303653
8.40360516141.8135866704
8.22875114792.1596719594
9.00871164432.3446479164
8.88506885392.4976015407
9.07388059032.4913706646
8.46338535023.1737665603
9.84510475252.2324862811
9.08941618173.6098037245
9.64636196363.0614932306
9.91092800453.0388771631
10.48727906793.1008801728
10.42468105693.2552028593
10.34128939363.8654047768
11.93717412414.4885617564
12.84646773244.2933088093
13.22242169954.6254090066
13.03232293495.0217031184
13.89209899184.3880398767
13.62867925745.2585332623
15.43496570244.4201317882
14.55029038235.8200913139
14.70641994226.1740941975
16.73054562154.9257964888
16.27276672457.8482587371
17.71884180787.8492083176
17.246720071211.3113354758
19.8990543910.7563056555
19.985095016515.6274233837
23.784291857726.6440699888
Level 5
Level 6
%
0.00687734540
0.02681149380
0.04262273170
0.0928192170
0.13513386230.0023539145
0.15117220350.0084441559
0.19581806480.0055548851
0.1823276860.0199726691
0.21022927680
0.24712192360
0.31165651820.0130864364
0.38465421790.0125893673
0.45963599780.0113335646
0.55339786980.0130471672
0.58887630330.0300412149
0.61679316380.0347013508
1.01784855390.0248302181
1.05715165020.0310986876
1.07378367210.048445667
1.28790330410.1383302651
1.40813543680.102094726
1.76544197270.0996419217
2.44172353250.207673763
2.78456063820.2758226606
2.98158373310.1187262435
3.49283336060.202801495
3.48153835450.4538502459
3.7463593930.2218703359
3.90699964990.2670952667
3.91253013480.4465873891
4.25841680590.3622515439
4.54109592020.2343481864
5.08642047150.298950748
4.78205187140.7980059788
5.30925770330.487767563
5.55322860740.6804324507
5.90056885780.5214709255
6.01650311160.6972931983
5.86413258090.8614107529
6.12573485040.8325432463
6.77424075120.7720117131
7.05037216540.9767553641
7.08951089491.0221671625
7.30924629080.8243864054
7.15675328591.2013093614
7.37291796241.1388235567
7.52672141421.1832908906
8.03255028320.7962316728
7.88985632771.2871612845
8.97672430250.7297377763
8.72608852651.1606985846
9.04140723731.0513668169
8.95405484851.4377970965
9.20883304911.5351410962
9.49259009741.883156619
10.54492038431.0768396285
10.51617396061.5874897624
11.23927602461.4997691031
10.85828858261.9319367136
11.45016310333.0881523941
14.16484834292.0252006367
14.38335923462.5518984589
13.97989842663.6490118904
15.38539850953.3160539487
15.3160687594.5927427724
20.36676921913.9236987553
Level 5
Level 6
%
0.01256737930
0.01635536770
0.10836993460
0.16387574090.001838143
0.2024780630.0079537817
0.23574625260.0028066573
0.28813799980.0028118881
0.35576800260.0028519367
0.39530029430.0081642765
0.44515393050.0416086418
0.51968652130.0253964411
0.5361787140.0146093174
0.58913491970.017842599
0.7033519030.0123774251
0.7901554930.0218879394
0.91526751240.0674054446
1.25638763940.0187822472
1.20673227410.1006412
1.51320310180.2107921019
1.66050262430.0903503713
1.84433886820.0309808721
2.08483712460.1667866751
2.59470640770.1869667959
2.80150771490.0736721932
2.77539809620.1493182792
2.8685012220.0769173171
2.82207507810.3280408939
3.058310140.1330982037
3.18226614420.1614584745
4.22328713580.2521215743
4.34030866480.2548344775
4.23629909540.3958624375
4.39671287680.3065051233
4.57469721950.2282733166
4.53555258730.3643081526
4.71764036620.3954454198
4.78154651310.4060148729
4.83104441060.4878049616
5.00817912390.606164645
5.19903891550.4676003539
5.37898932730.4347879747
5.40038621010.6497912231
5.78851023020.2699200008
6.29332415630.6872347944
6.54020994370.6684542265
6.41624168521.014143972
7.00127252860.6369443598
6.96347702110.9806159514
7.03744656410.996763055
7.37661144840.7288679062
7.60870237860.7970573869
7.50626077961.0127007938
7.70513929481.3270896158
8.47487124131.089743715
9.06116565340.7473839661
8.35328351171.5063753827
10.07820319981.1055955899
11.21268016871.2104888582
10.95666208081.796726486
10.67147045842.094724337
11.85015126811.0499514282
11.48572107841.9364052225
12.88927593191.6115810075
13.06413152642.6321300638
12.8795379762.851473022
17.04950496642.4430367993
Level 5
Level 6
%
Data(III.2.3)
Mean score, variation and gender differences in student performance on the science scale
Gender differences
MalesFemalesDifference (M - F)
Mean scoreMean scoreScore dif.
Column1Column2Column3Column4
A0084964951
A031534545-11
A0403723675
A056477480-3
A076488490-2
A100498502-4
A158510512-2
A1705245204
A2035235186
A2465105046
A344541542-1
A348493497-4
A3724074043
A376482491-9
A380453456-3
A4284984918
A442427428-1
A446520521-1
A528491495-3
A6045035030
A616537539-2
A620498503-5
A634490490-1
A6425505483
A6434014001
A688527528-1
A705507509-3
A7645004973
A780529535-6
A788574575-1
A792442443-1
A858527528-1
A398375377-2
A032397404-8
A036418431-13
A124483500-17
A15241339221
A15652751116
A191430450-20
A2085205128
A233453480-27
A2505195099
A276423433-10
A30050549412
A352377406-29
A360490497-7
A392396405-9
A400395408-13
A410546562-15
A4174874807
A438448460-12
A440318340-22
A4845315265
A499505511-6
A5544914847
A5784194136
A591465475-10
A702398433-35
A703366393-26
A7244524439
A75250949514
A756370377-7
A784378387-9
A826505519-14
A840401419-18
Trend Points275700700
Trend Points275700700
Reading
Mathematics
Science
50%
36%
Fig 7.3
Performance of males and females on the science scale
&R&D&T&Z&F&A
ColombiaColombiaColombiaColombia495.0603595276Colombia404.4339558282275
LiechtensteinLiechtensteinLiechtensteinLiechtenstein545.0172332824Liechtenstein430.9508007347700
BelgiumBelgiumBelgiumBelgium367.0732109845Belgium500.1240241779
ChileChileChileChile479.820980977Chile391.6431810005
United KingdomUnited KingdomUnited KingdomUnited Kingdom489.8249064349United Kingdom511.490002439
United StatesUnited StatesUnited StatesUnited States501.7071282376United States449.5993653084
SwitzerlandSwitzerlandSwitzerlandSwitzerland512.3234258634Switzerland512.4926296104
LuxembourgLuxembourgLuxembourgLuxembourg520.2693327305Luxembourg480.350428669
AustriaAustriaAustriaAustria517.5939089716Austria509.0752760126
SpainSpainSpainSpain503.5159417595Spain433.0544442474
PeruPeruPeruPeru542.2655610196Peru493.6156874104
NetherlandsNetherlandsNetherlandsNetherlands496.9519640229Netherlands405.6125943071
FranceFranceFranceFrance403.8475079763France497.2362967495
DenmarkDenmarkDenmarkDenmark491.0235018307Denmark404.7037336609
GermanyGermanyGermanyGermany456.2126358896Germany407.7449914926
BrazilBrazilBrazilBrazil490.8831262364Brazil561.8389201244
ItalyItalyItalyItaly427.7531377239Italy480.4832402402
Hong Kong-ChinaHong Kong-ChinaHong Kong-ChinaHong Kong-China520.9084116945Hong Kong-China460.176007292
GreeceGreeceGreeceGreece494.6556026842Greece340.0035420948
MexicoMexicoMexicoMexico502.5864880559Mexico526.3676313569
UruguayUruguayUruguayUruguay538.5166396628Uruguay511.0227509931
TunisiaTunisiaTunisiaTunisia503.07436947Tunisia484.127774532
MontenegroMontenegroMontenegroMontenegro490.4658953272Montenegro412.724955089
HungaryHungaryHungaryHungary547.6720270644Hungary474.8864756711
CanadaCanadaCanadaCanada400.4212800217Canada433.0569861847
PortugalPortugalPortugalPortugal528.2507345026Portugal392.899676383
SerbiaSerbiaSerbiaSerbia509.3584604959Serbia442.8793288888
Macao-ChinaMacao-ChinaMacao-ChinaMacao-China496.9046189118Macao-China494.952063223
TurkeyTurkeyTurkeyTurkey535.1536305193Turkey376.8510396082
CroatiaCroatiaCroatiaCroatia574.8967078494Croatia386.9337747568
ArgentinaArgentinaArgentinaArgentina443.2297623041Argentina518.8273475441
AustraliaAustraliaAustraliaAustralia527.5876305401Australia419.0971060803
JapanJapanJapanJapan376.8572483771Japan
Females perform better than males
Males perform better than females
non-significant
significant
Trend
Male score
Female score
-
Cognitive Skills and Economic Growth
-
Secondary School Completion
Chart1
97.21407717411
96.0159577203Ireland
94.739822294Japan
92.9935560644Finland
92.9595144274Korea
91.3873608298Greece
91.2813856732Norway
91.0893014625United Kingdom
89.7174663758Switzerland
89.5580701528Israel
89.2386227478Iceland
86.9310865713Czech Republic
85.1132810992Slovenia
85.0145993919Italy
83.3777154693EU19 average
82.7393214879Denmark
82.6358393217Poland
80.6698705244Slovak Republic
79.9625745464OECD average
78.1206904602Hungary
77.946508719New Zealand
76.66908239United States
76.4040340391Sweden
76.3499484799Canada
73.3104945569Spain
73.2323659268Luxembourg
69.2266039527Chile
62.9071765075Portugal
44.0227274302Mexico
26.2095236772Turkey
secondary completion 2008
Percent
Secondary School Completion Rates
Contents
Education at a Glance 2010: OECD Indicators - OECD 2010
Indicator A2: How many students finish secondary education and access tertiary education?
Version 1 - Last updated: 06-Sep-2010
Education at a Glance 2010
Indicator A2: How many students finish secondary education and access tertiary education?
Tables
Table A2.1. Upper secondary graduation rates (2008)
Table A2.2 Trends in graduation rates (first-time) at upper secondary level (1995-2008)
Table A2.3. Entry rates into tertiary education and age distribution of new entrants (2008)
Table A2.4. Trends in entry rates at tertiary level (1995-2008)
Table A2.5 (Web only) Post-secondary non-tertiary graduation rates (2008)
Table A2.6. (Web only) Percentage of new entrants into tertiary education and proportion of females, by field of education (2008)
Charts
Chart A2.1. Upper secondary graduation rate (2008)
Chart A2.2. Access to tertiary-type A education for upper secondary graduates (2008)
Chart A2.3. Entry rates into tertiary-type A education (1995, 2000 and 2008)
Chart A2.4. Entry rates into tertiary-type B education (1995, 2008)
Chart A2.5. Entry rates into tertiary-type A education: Impact of international students (2008)
OECD 2010
Education at a Glance 2010: OECD Indicators - OECD 2010
T_A2.1
Education at a Glance 2010: OECD Indicators - OECD 2010
Indicator A2: How many students finish secondary education and access tertiary education?
Version 1 - Last updated: 06-Sep-2010
Table A2.1. Upper secondary graduation rates (2008)
Sum of graduation rates for single year of age, by programme destination, programme orientation and gender
Total (first-time graduates)General programmesPre-vocational/vocational programmesISCED 3A (designed to prepare for direct entry into tertiary-type A education)ISCED 3B (designed to prepare for direct entry into tertiary-type B education)ISCED 3C (long) similar to duration of typical 3A or 3B programmesISCED 3C (short) shorter than duration of typical 3A or 3B programmes
M + FMalesFemalesM + FMalesFemalesM + FMalesFemalesM + FMalesFemalesM + FMalesFemalesM + FMalesFemalesM + FMalesFemales
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)
OECD countries
Australia2mmmm[=67][=66][=62][=73][=39][=19][=37][=41][=67][=62][=73]x(19)x(20)x(21)[=39][=37][=41]x(19)x(20)x(21)
Austriammmm[=17]