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Table 1 Percentages (SE) of 4th-grade students meeting high, intermediate, and low benchmarks and national means and standard deviations by country

From: Subject-specific strength and weaknesses of fourth-grade students in Europe: a comparative latent profile analysis of multidimensional proficiency patterns based on PIRLS/TIMSS combined 2011

Country Percentages (SE) of 4th-grade students meeting international benchmarksa National mean (SE) and standard deviation
High international benchmark Intermediate international benchmark Low international benchmark
All subjects Reading Maths Science Reading Maths Science All subjects Reading Maths Science Readingb Mathsc Scienced
Austria 18 (1.2) 39 (1.5) 26 (1.5) 42 (1.6) 80 (0.9) 70 (1.9) 79 (1.7) 92 (0.8) 97 (0.3) 95 (0.8) 96 (0.6) 529 (2.0) 63 508 (2.6) 63 532 (2.8) 70
Czech Republic 21 (1.1) 50 (1.4) 30 (1.5) 44 (1.5) 87 (0.9) 72 (1.3 81 (1.1) 92 (0.8) 98 (0.5) 93 (0.8) 97 (0.7) 545 (2.2) 61 511 (2.4) 70 536 (2.5) 72
Finland 39 (1.3) 63 (1.3) 49 (1.3) 65 (1.7) 92 (0.7) 85 (1.2) 92 (0.8) 97 (0.5) 99 (0.2) 98 (0.4) 99 (0.3) 568 (1.9 64 545 (2.3) 68 570 (2.6) 67
Germany 23 (1.3) 46 (1.4) 37 (1.4) 39 (1.6) 85 (1.0) 81 (1.3) 78 (1.5) 94 (0.8) 98 (0.3) 97 (0.6) 96 (0.7) 541 (2.2) 66 528 (2.2) 62 528 (2.9) 70
Hungary 28 (1.3) 48 (1.5) 37 (1.4) 46 (2.0) 81 (1.2) 70 (1.5) 78 (1.5) 88 (1.1) 95 (0.7) 90 (1.0) 93 (0.9) 539 (2.9) 78 515 (3.4) 90 534 (3.7 86
Ireland 25 (1.5) 53 (1.4) 41 (1.6) 35 (1.7) 85 (0.8) 77 (1.4) 72 (1.6) 90 (0.9 97 (0.5) 94 (0.6) 92 (0.9) 552 (2.3) 75 527 (2.6) 78 516 (3.4) 79
Italy 18 (1.1) 46 (1.4) 28 (1.4) 37 (1.6) 85 (1.1) 69 (1.3 76 (1.3) 90 (0.9) 98 (0.4) 93 (0.8) 95 (1.0) 541 (2.2) 66 508 (2.6) 72 524 (2.7) 74
Lithuania 21 (1.3) 39 (1.4) 43 (1.5) 31 (1.6) 80 (1.2) 79 (1.2) 73 (1.2) 92 (0.8) 97 (0.4) 96 (0.6) 95 (0.6) 528 (2.0) 66 534 (2.4) 74 515 (2.4) 68
Malta 7 (0.4) 24 (0.7) 25 (0.9) 14 (0.7) 55 (0.8) 63 (0.8) 41 (1.0) 64 (0.9) 78 (0.6) 88 (0.6) 70 (1.1) 477 (1.4) 97 496 (1.3) 78 446 (1.9) 98
Northern Ireland 29 (1.4) 58 (1.4) 59 (1.4) 33 (1.6) 87 (0.9) 85 (1.2) 74 (1.3) 92 (0.8) 97 (0.6) 96 (0.5) 94 (1.0) 558 (2.4) 76 562 (2.9) 86 517 (2.6) 71
Poland 12 (0.8) 39 (1.2) 17 (1.1) 29 (1.5) 77 (0.9) 56 (1.3) 67 (1.2) 83 (1.0) 95 (0.5) 87 (0.9) 91 (0.8) 526 (2.1) 73 481 (2.2) 73 505 (2.6) 78
Portugal 23 (1.7) 47 (1.8) 40 (1.9) 35 (1.8) 84 (1.2) 80 (1.7) 75 (2.0) 93 (1.1) 98 (0.5) 97 (0.6) 95 (1.0 541 (2.6) 66 532 (3.4) 69 522 (3.9) 73
Romania 17 (1.2) 32 (1.6) 28 (1.7) 37 (2.3) 65 (2.1) 57 (2.2) 66 (2.3) 73 (2.1) 86 (1.5) 79 (1.9) 84 (1.8) 502 (4.3) 91 482 (5.8) 105 505 (5.9) 107
Slovak Republic 21 (1.3) 44 (1.5) 30 (1.7) 44 (1.5) 79 (0.9) 69 (1.6) 81 (1.1) 89 (1.3) 95 (0.6) 90 (1.2) 97 (0.7) 535 (2.8) 69 507 (3.8) 80 532 (3.8) 79
Slovenia 20 (1.3) 42 (1.2) 31 (1.4) 36 (1.6) 79 (1.2) 72 (1.4) 74 (1.3) 90 (0.7) 95 (0.6) 94 (0.6) 93 (0.6) 530 (2.0) 70 513 (2.2) 69 520 (2.7) 76
Spain 9 (0.8) 31 (1.3) 17 (1.1) 28 (1.5) 72 (1.2) 56 (1.9) 67 (1.6) 82 (1.4) 94 (0.7) 87 (1.3) 92 (1.2) 513 (2.3) 68 482 (2.9) 70 505 (3.0) 73
Sweden 18 (1.1) 47 (1.6) 25 (1.2) 44 (1.5) 85 (1.0) 69 (1.4) 79 (1.1) 91 (0.7) 98 (0.3) 93 (0.7) 95 (0.5) 542 (2.1) 65 504 (2.0) 67 533 (2.7) 75
  1. aAll numbers from Mullis (2013)
  2. bAll numbers from Mullis et al. (2012b)
  3. cAll numbers from Mullis et al. (2012a)
  4. dAll numbers from Martin et al. (2012)