what can i do with the data?/media/files/gmac/research/gmat... · 2014. 10. 23. · this report...

Globally, more than 1.2 million Graduate Management Admission Test® (GMAT®) exams have been taken over the past five years by individuals interested in pursuing graduate management education. The GMAT exam is an important part of the admissions process for more than 6,100 graduate management programs worldwide. A total of 243,529 GMAT exams were taken by prospective business school students around the world in testing year 2014 (TY2014), which ran from July 1, 2013 through June 30, 2014. These examinees sent a total of 687,976 score reports to graduate-level management programs across the globe.

This report summarizes five-year global GMAT testing trends and includes:

• GMAT exams taken by residence,

• GMAT exams taken by gender,

• Mean age of GMAT examinees,

• Mean GMAT Total score, and

• GMAT score-sending breakdowns by program type (MBA, non-MBA master’s, and doctoral/other), TY 2014.

Mean GMAT Total scores and mean age of examinees are provided for groups with five or more exams taken and 10 or more score reports sent.

What Can I Do With the Data? This data brief can help you build candidate profiles for specific country and regional groups. For example, you can use the tables to determine the following about Chinese residents who sat for the GMAT exam in TY 2014: • Chinese residents sat for 42,008

GMAT exams. • The mean age of Chinese test

takers was 22.9 and the mean GMAT Total score was 594.

• Of the 107,155 GMAT score reports sent by Chinese residents, 69.2 percent were directed to non-MBA specialized master’s programs.

• Men in China (36% of scores sent) were more likely than women in China (23%) to send scores to MBA programs.

• Chinese residents represented 71 percent of GMAT test taking by East and Southeast Asian residents and 17 percent of global testing.

Use this report as a starting point to target your search of potential students and enhance school recruitment efforts. For example, you can purchase names of prospective students using the Graduate Management Admission Search Service® (GMASS®) database or develop profiles of the decision-making process for Chinese candidates based on data in the mba.com Prospective Students Survey Interactive Report.

See the back of this report for links to these and other resources.

Notes About the GMAT® Exam The GMAT exam consists of four sections: Verbal, Quantitative, Analytical Writing, and Integrated Reasoning. GMAT “Total” scores, which are reported in this report, are calculated based on performance on the Verbal and Quantitative sections of the exam. Total scores are reported in increments of 10, on a scale ranging from 200 to 800. Results are valid for a five-year period from test sitting. Please note that GMAT volume was artificially elevated in TY2012 as many examinees opted to sit for the exam before the addition of Integrated Reasoning (IR) in June 2012.

About GMAT® Examinees

Data in this report reflect the total number of GMAT exams that generated valid, reportable scores during a given testing year. Examinees who took the exam more than once during the year are included in the aggregate data each time they generated a valid score. For example, if an individual took the GMAT exam twice during the 2014 testing year, he or she would represent a total of two exams taken during that year. Program data are based on a school’s current GMAT code classifications for its respective programs.

About This Report

This Data-to-Go brief, prepared by GMAC researchers, summarizes five years of data for GMAT exams taken and score reports sent worldwide, filtered by residence at time of GMAT registration.

In This Report

Review GMAT exam and score reporting trends by:

• Region of Residence

• Country of Residence

Download the report at gmac.com/datatogo.

Profile of GMAT® Testing: Residence Report Testing Years 2010 Through 2014 November 2014

© 2014 Graduate Management Admission Council® (GMAC®). All rights reserved. 1

http://www.gmac.com/market-intelligence-and-research/market-research/gmac-data-to-go.aspx

GMAC® Data-to-Go Profile of GMAT® Testing: Residence Report

Table 1. GMAT® Testing Trends by Region of Residence

Region of Residence

GMAT® Exams Taken by Testing Year TY2014 Score Reports Sent by Program

Exams Taken TY2010 TY2011 TY2012 TY2013 TY2014 Scores Sent MBA

Non-MBA

Master’s

Doctoral /Other

Worldwide

Total 263,979 258,192 286,529 238,356 243,529 687,976 66.7% 30.2% 3.1%

Men 158,079 151,392 163,686 137,020 138,053 411,883 73.8% 23.4% 2.9%

Women 105,900 106,800 122,843 101,336 105,476 276,093 56.2% 40.3% 3.5%

Mean Age 26.5 26.3 26.1 26.0 25.8 25.9 26.9 23.4 28.6

Mean Score 544 544 548 546 550 576 574 579 596

Africa

Total 3,780 3,585 3,759 3,605 3,485 8,901 78.9% 16.5% 4.6%

Men 2,434 2,220 2,294 2,194 2,054 5,495 80.4% 14.8% 4.8%

Women 1,346 1,365 1,465 1,411 1,431 3,406 76.4% 19.2% 4.4%

Mean Age 29.1 28.8 28.5 28.9 28.7 28.3 28.7 25.5 32.1

Mean Score 455 452 452 439 446 479 486 446 482

Australia and Pacific Islands

Total 1,157 1,113 1,237 1,136 1,124 2,945 77.7% 19.0% 3.4%

Men 737 713 813 751 725 2,083 80.9% 15.4% 3.6%

Women 420 400 424 385 399 862 69.7% 27.6% 2.7%

Mean Age 27.0 27.5 27.7 27.5 27.3 27.5 28.1 24.4 31.7

Mean Score 577 583 585 579 590 616 619 601 616

Canada

Total 8,662 8,531 9,313 7,969 7,534 19,365 79.1% 17.2% 3.7%

Men 5,344 5,145 5,458 4,739 4,474 11,939 81.6% 14.7% 3.7%

Women 3,318 3,386 3,855 3,230 3,060 7,426 75.0% 21.2% 3.8%

Mean Age 27.7 27.7 27.6 27.5 27.4 27.2 27.5 24.8 31.3

Mean Score 555 553 555 553 552 575 573 587 581

Central and South Asia

Total 20,161 19,581 24,240 21,420 24,675 112,210 85.2% 12.7% 2.1%

Men 15,427 14,871 18,103 16,077 18,183 83,747 86.4% 11.6% 2.0%

Women 4,734 4,710 6,137 5,343 6,492 28,463 81.4% 16.1% 2.4%

Mean Age 25.6 25.8 25.6 25.6 25.5 25.5 25.7 23.9 29.4

Mean Score 573 574 576 572 572 589 592 567 590

East and Southeast Asia

Total 41,218 47,671 64,305 55,582 59,254 146,962 39.2% 57.2% 3.6%

Men 19,377 20,716 26,615 23,473 24,077 59,708 52.1% 43.9% 4.0%

Women 21,841 26,955 37,690 32,109 35,177 87,254 30.4% 66.4% 3.3%

Mean Age 25.3 24.5 24.1 24.3 24.3 24.3 27.0 22.2 26.1

Mean Score 586 586 587 583 586 619 607 627 628

Eastern Europe

Total 3,430 3,469 3,895 3,271 3,261 8,133 48.9% 48.1% 3.0%

Men 1,799 1,829 2,069 1,768 1,789 4,748 55.1% 42.7% 2.2%

Women 1,631 1,640 1,826 1,503 1,472 3,385 40.1% 55.7% 4.1%

Mean Age 25.6 25.3 25.4 25.2 25.1 25.0 27.4 22.5 27.8

Mean Score 556 561 560 564 563 593 597 590 576

Mexico, Caribbean and Latin America

Total 5,453 5,422 5,814 5,037 5,891 17,137 86.5% 11.4% 2.1%

Men 3,786 3,749 4,040 3,532 4,091 12,379 88.3% 10.1% 1.6%

Women 1,667 1,673 1,774 1,505 1,800 4,758 81.9% 14.8% 3.3%

Mean Age 27.7 27.6 27.7 27.8 27.7 27.7 27.8 26.7 32.0

Mean Score 538 534 536 539 548 577 587 518 510

Middle East

Total 8,452 7,993 8,017 7,110 6,778 16,179 78.1% 13.9% 8.0%

Men 5,278 5,090 4,947 4,517 4,225 10,933 78.5% 13.4% 8.1%

Women 3,174 2,903 3,070 2,593 2,553 5,246 77.2% 15.0% 7.8%

Mean Age 26.8 26.8 26.8 27.1 27.1 27.1 27.3 25.1 29.3

Mean Score 484 487 485 473 472 530 527 529 558

2 © 2014 Graduate Management Admission Council® (GMAC®). All rights reserved.


Table 1. GMAT® Testing Trends by Region of Residence

Region of Residence



Non-MBA

Master’s

Doctoral /Other

United States

Total 151,252 140,085 144,650 113,434 110,878 310,456 74.2% 22.6% 3.1%

Men 90,539 83,825 85,827 67,352 65,372 191,127 77.8% 19.5% 2.7%

Women 60,713 56,260 58,823 46,082 45,506 119,329 68.6% 27.7% 3.8%

Mean Age 26.9 26.9 26.8 26.6 26.5 26.5 27.0 24.4 29.3

Mean Score 531 528 530 528 532 555 560 533 596

Western Europe

Total 20,414 20,742 21,299 19,792 20,649 45,688 42.4% 55.3% 2.4%

Men 13,358 13,234 13,520 12,617 13,063 29,724 46.0% 52.0% 2.1%

Women 7,056 7,508 7,779 7,175 7,586 15,964 35.7% 61.5% 2.9%

Mean Age 26.3 25.9 25.7 25.4 25.2 25.3 27.9 23.3 26.9

Mean Score 560 561 562 562 557 583 602 567 589

Table 2. GMAT® Testing Trends by Country of Residence

Residence



Non-MBA

Master’s

Doctoral /Other

Afghanistan

Total 0 3 15 6 13 29 75.9% 20.7% 3.4% Men 0 1 11 4 8 26 84.6% 15.4% 0.0% Women 0 2 4 2 5 3 — — — Mean Age — — 25.1 29.0 26.3 26.4 25.9 — — Mean Score — — 443 517 466 549 574 — —

Albania

Total 17 21 28 33 36 68 45.6% 52.9% 1.5% Men 6 6 7 9 11 24 45.8% 50.0% 4.2% Women 11 15 21 24 25 44 45.5% 54.5% 0.0% Mean Age 25.9 24.5 24.9 23.9 24.5 24.0 24.7 23.3 — Mean Score 541 490 536 477 491 525 534 517 —

Algeria

Total 6 6 10 4 4 7 — — — Men 4 4 4 3 1 5 — — — Women 2 2 6 1 3 2 — — — Mean Age 30.0 25.8 28.2 — — — — — — Mean Score 478 510 434 — — — — — —

American Samoa

Total 2 0 2 8 3 9 — — — Men 1 0 1 2 0 0 — — — Women 1 0 1 6 3 9 — — — Mean Age — — — 23.9 — — — — — Mean Score — — — 449 — — — — —

Andorra

Total 14 0 3 2 3 11 100.0% 0.0% 0.0% Men 7 0 0 2 3 11 100.0% 0.0% 0.0% Women 7 0 3 0 0 0 — — — Mean Age 27.9 — — — — 25.5 25.5 — — Mean Score 546 — — — — 603 603 — —

Angola

Total 3 8 3 7 3 6 — — — Men 3 4 2 3 1 5 — — — Women 0 4 1 4 2 1 — — — Mean Age — 27.9 — 34.6 — — — — — Mean Score — 418 — 350 — — — — —




Residence



Non-MBA

Master’s

Doctoral /Other

Anguilla

Total 1 0 2 0 0 — — — — Men 0 0 0 0 0 — — — — Women 1 0 2 0 0 — — — — Mean Age — — — — — — — — — Mean Score — — — — — — — — —

Antigua and Barbuda

Total 7 2 4 0 0 — — — — Men 4 1 1 0 0 — — — — Women 3 1 3 0 0 — — — — Mean Age 29.6 — — — — — — — — Mean Score 517 — — — — — — — —

Argentina

Total 268 232 239 302 332 910 88.2% 8.8% 3.0% Men 218 180 191 237 254 695 91.9% 7.9% 0.1% Women 50 52 48 65 78 215 76.3% 11.6% 12.1% Mean Age 27.6 27.5 27.4 27.8 27.3 27.5 27.7 25.7 28.1 Mean Score 603 611 602 595 597 618 623 602 533

Armenia


Aruba

Total 3 2 8 0 8 19 21.1% 78.9% 0.0% Men 0 0 6 0 7 17 17.6% 82.4% 0.0% Women 3 2 2 0 1 2 — — — Mean Age — — 22.8 — 27.0 28.5 — 28.8 — Mean Score — — 464 — 441 481 — 481 —

Australia

Total 1,033 968 1,092 996 984 2,590 77.2% 19.7% 3.2% Men 657 608 723 682 650 1,846 80.6% 16.2% 3.2% Women 376 360 369 314 334 744 68.7% 28.2% 3.1% Mean Age 27.1 27.5 27.7 27.6 27.3 27.5 28.0 24.5 33.2 Mean Score 577 585 587 585 595 621 627 604 591

Austria


Azerbaijan


Bahamas





Residence



Non-MBA

Master’s

Doctoral /Other

Bahrain


Bangladesh

Total 160 221 256 247 280 1,156 59.9% 31.3% 8.7% Men 107 162 176 178 192 831 60.2% 30.6% 9.3% Women 53 59 80 69 88 325 59.4% 33.2% 7.4% Mean Age 26.1 27.0 25.7 26.3 26.1 26.1 26.1 24.9 29.7 Mean Score 499 497 502 486 490 509 501 505 578

Barbados

Total 22 14 11 12 14 30 83.3% 16.7% 0.0% Men 3 5 3 5 5 17 100.0% 0.0% 0.0% Women 19 9 8 7 9 13 61.5% 38.5% 0.0% Mean Age 25.6 32.1 27.6 26.8 25.8 25.6 25.9 — — Mean Score 523 449 551 441 518 549 560 — —

Belarus


Belgium


Belize

Total 4 6 2 4 3 7 — — — Men 2 2 1 1 1 1 — — — Women 2 4 1 3 2 6 — — — Mean Age — 23.0 — — — — — — — Mean Score — 413 — — — — — — —

Benin

Total 4 1 0 3 1 4 — — — Men 3 1 0 3 0 0 — — — Women 1 0 0 0 1 4 — — — Mean Age — — — — — — — — — Mean Score — — — — — — — — —

Bermuda

Total 16 21 7 13 15 39 61.5% 38.5% 0.0% Men 7 13 4 9 10 33 69.7% 30.3% 0.0% Women 9 8 3 4 5 6 — — — Mean Age 28.4 29.4 24.0 24.8 26.8 29.0 31.4 25.2 — Mean Score 525 562 499 599 586 629 638 615 —

Bhutan

Total 6 2 3 7 4 4 — — — Men 6 2 0 6 2 2 — — — Women 0 0 3 1 2 2 — — — Mean Age 28.7 — — 27.9 — — — — — Mean Score 390 — — 496 — — — — —




Residence



Non-MBA

Master’s

Doctoral /Other

Bolivia


Bonaire, Saint Eustatius, and

Saba


Bosnia and Herzegovina


Botswana


Brazil

Total 1,204 1,271 1,404 1,282 1,648 5,400 89.4% 8.5% 2.1% Men 893 929 1,031 953 1,190 4,025 90.3% 8.2% 1.5% Women 311 342 373 329 458 1,375 86.8% 9.5% 3.8% Mean Age 28.6 28.4 28.6 28.6 28.5 28.2 28.1 28.5 31.5 Mean Score 579 577 575 578 582 613 622 539 540

Brunei Darussalam

Total 6 5 4 5 3 16 56.3% 43.8% 0.0% Men 3 5 3 1 1 7 — — — Women 3 0 1 4 2 9 — — — Mean Age 31.2 31.0 — 35.4 — 28.1 — — — Mean Score 432 518 — 432 — 548 — — —

Bulgaria


Burkina Faso

Total 4 5 2 2 4 11 54.5% 45.5% 0.0% Men 3 3 1 2 2 5 — — — Women 1 2 1 0 2 6 — — — Mean Age — 32.4 — — — 29.2 — — — Mean Score — 460 — — — 315 — — —

Burundi

Total 6 9 2 3 1 1 — — — Men 3 5 0 1 0 0 — — — Women 3 4 2 2 1 1 — — — Mean Age 24.2 23.4 — — — — — — — Mean Score 337 403 — — — — — — —




Residence



Non-MBA

Master’s

Doctoral /Other

Cambodia

Total 10 9 8 3 14 38 63.2% 21.1% 15.8% Men 8 6 6 2 6 15 93.3% 6.7% 0.0% Women 2 3 2 1 8 23 43.5% 30.4% 26.1% Mean Age 25.0 27.7 26.3 — 28.6 28.7 31.0 — — Mean Score 416 407 456 — 479 500 540 — —

Cameroon


Canada

Total 8,662 8,531 9,313 7,969 7,534 19,365 79.1% 17.2% 3.7% Men 5,344 5,145 5,458 4,739 4,474 11,939 81.6% 14.7% 3.7% Women 3,318 3,386 3,855 3,230 3,060 7,426 75.0% 21.2% 3.8% Mean Age 27.7 27.7 27.6 27.5 27.4 27.2 27.5 24.8 31.3 Mean Score 555 553 555 553 552 575 573 587 581

Cape Verde


Cayman Islands


Chad


Chile

Total 443 367 396 445 454 1,493 91.9% 7.2% 0.9% Men 391 306 334 392 383 1,284 92.8% 6.2% 1.0% Women 52 61 62 53 71 209 86.6% 13.4% 0.0% Mean Age 29.2 29.6 29.6 29.3 29.3 29.0 28.9 29.9 31.4 Mean Score 584 563 579 575 584 609 612 591 467

China


Christmas Island





Residence



Non-MBA

Master’s

Doctoral /Other

Cocos (Keeling) Islands


Colombia


Comoros


Congo

Total 1 0 2 4 4 10 100.0% 0.0% 0.0% Men 1 0 1 4 2 5 — — — Women 0 0 1 0 2 5 — — — Mean Age — — — — — 27.9 27.9 — — Mean Score — — — — — 450 450 — —

Costa Rica


Croatia


Curaçao

Total 0 0 5 4 2 6 — — — Men 0 0 4 3 0 0 — — — Women 0 0 1 1 2 6 — — — Mean Age — — 27.8 — — — — — — Mean Score — — 450 — — — — — —

Cyprus


Czech Republic





Residence



Non-MBA

Master’s

Doctoral /Other

Denmark


Djibouti


Dominica


Dominican Republic


East Timor


Ecuador


Egypt

Total 1,009 812 789 612 603 1,186 77.9% 11.3% 10.8% Men 729 552 529 442 412 854 81.1% 9.6% 9.3% Women 280 260 260 170 191 332 69.6% 15.7% 14.8% Mean Age 29.1 28.5 28.2 28.6 28.6 27.6 27.5 24.4 31.3 Mean Score 466 470 481 465 472 520 519 499 546

El Salvador


Equatorial Guinea





Residence



Non-MBA

Master’s

Doctoral /Other

Eritrea


Estonia

Total 27 27 37 28 16 43 11.6% 88.4% 0.0% Men 12 14 19 17 9 20 20.0% 80.0% 0.0% Women 15 13 18 11 7 23 4.3% 95.7% 0.0% Mean Age 24.6 25.3 25.6 25.3 24.3 23.9 — 23.7 — Mean Score 590 577 595 565 542 560 — 562 —

Ethiopia


Fiji


Finland


France


French Polynesia

Total 1 2 3 0 4 18 100.0% 0.0% 0.0% Men 1 2 1 0 0 0 — — — Women 0 0 2 0 4 18 100.0% 0.0% 0.0% Mean Age — — — — — 33.0 33.0 — — Mean Score — — — — — 302 302 — —

Gabon


Gambia





Residence



Non-MBA

Master’s

Doctoral /Other

Georgia


Germany


Ghana


Gibraltar


Greece

Total 1,568 1,565 1,275 1,047 982 1,876 35.7% 60.9% 3.4% Men 793 814 715 627 591 1,201 38.8% 58.5% 2.7% Women 775 751 560 420 391 675 30.2% 65.0% 4.7% Mean Age 24.3 24.3 24.6 25.0 25.0 25.2 27.1 24.0 28.3 Mean Score 520 526 531 527 525 560 550 563 599

Greenland


Grenada

Total 6 2 4 1 3 9 — — — Men 4 0 1 0 0 0 — — — Women 2 2 3 1 3 9 — — — Mean Age 32.8 — — — — — — — — Mean Score 425 — — — — — — — —

Guadeloupe


Guam

Total 26 31 18 23 24 51 96.1% 3.9% 0.0% Men 15 20 11 8 15 42 95.2% 4.8% 0.0% Women 11 11 7 15 9 9 — — — Mean Age 26.7 30.1 29.3 30.5 31.3 28.5 28.7 — — Mean Score 463 477 488 422 379 433 433 — —




Residence



Non-MBA

Master’s

Doctoral /Other

Guatemala


Guernsey


Guinea


Guyana

Total 4 6 2 2 3 10 100.0% 0.0% 0.0% Men 1 1 0 0 2 9 — — — Women 3 5 2 2 1 1 — — — Mean Age — 29.2 — — — 39.1 39.1 — — Mean Score — 450 — — — 525 525 — —

Haiti


Honduras


Hong Kong

Total 2,362 2,137 2,272 2,009 1,937 4,409 59.6% 35.8% 4.7% Men 1,261 1,121 1,145 1,045 943 2,235 64.4% 31.6% 3.9% Women 1,101 1,016 1,127 964 994 2,174 54.6% 40.0% 5.4% Mean Age 27.0 26.5 26.4 26.4 26.1 25.9 27.3 23.5 26.3 Mean Score 569 574 583 587 597 632 631 630 657

Hungary


Iceland





Residence



Non-MBA

Master’s

Doctoral /Other

India


Indonesia


Iran

Total 0 42 290 202 165 793 22.7% 12.5% 64.8% Men 0 30 184 139 111 563 22.4% 7.3% 70.3% Women 0 12 106 63 54 230 23.5% 25.2% 51.3% Mean Age — 27.3 27.6 28.3 28.2 28.2 28.1 27.4 28.4 Mean Score — 514 541 556 550 583 548 572 597

Iraq

Total 8 13 2 3 4 20 30.0% 40.0% 30.0% Men 8 9 2 3 3 14 42.9% 14.3% 42.9% Women 0 4 0 0 1 6 — — — Mean Age 27.3 27.2 — — — 36.1 — — — Mean Score 540 564 — — — 545 — — —

Ireland


Isle of Man


Israel

Total 2,699 2,430 2,385 1,830 1,711 5,201 95.7% 1.9% 2.4% Men 1,708 1,539 1,484 1,170 1,057 3,342 96.4% 1.7% 1.9% Women 991 891 901 660 654 1,859 94.5% 2.3% 3.3% Mean Age 28.6 28.5 28.4 28.4 28.5 28.2 28.2 28.0 28.8 Mean Score 480 484 484 482 485 506 505 570 487

Italy

Total 1,723 1,637 1,879 1,809 1,431 3,223 41.5% 54.9% 3.6% Men 1,185 1,144 1,208 1,211 1,062 2,549 45.4% 50.9% 3.6% Women 538 493 671 598 369 674 26.9% 69.9% 3.3% Mean Age 24.4 24.1 23.9 23.9 24.5 24.9 28.4 22.2 25.5 Mean Score 555 559 560 558 569 594 604 585 619

Ivory Coast (Cote D'Ivoire)





Residence



Non-MBA

Master’s

Doctoral /Other

Jamaica


Japan

Total 2,519 2,379 2,641 2,616 2,543 5,515 87.7% 10.9% 1.4% Men 1,916 1,797 2,024 2,060 2,030 4,546 90.7% 8.5% 0.8% Women 603 582 617 556 513 969 73.4% 22.3% 4.3% Mean Age 29.8 30.0 30.0 29.9 30.0 29.6 29.9 26.8 31.7 Mean Score 557 552 554 549 560 585 587 570 611

Jersey


Jordan


Kazakhstan


Kenya


Korea, South

Total 5,098 4,392 4,351 3,853 3,645 6,013 74.8% 14.6% 10.6% Men 3,759 3,226 3,238 2,841 2,651 4,572 78.6% 11.4% 10.0% Women 1,339 1,166 1,113 1,012 994 1,441 62.9% 24.8% 12.3% Mean Age 30.2 30.5 30.7 30.7 30.8 30.9 31.6 28.6 29.7 Mean Score 587 588 595 589 585 620 620 599 650

Kuwait


Kyrgyzstan





Residence



Non-MBA

Master’s

Doctoral /Other

Lao Peoples Democratic

Republic

Total 3 3 4 5 4 16 87.5% 0.0% 12.5% Men 1 3 2 3 4 16 87.5% 0.0% 12.5% Women 2 0 2 2 0 0 — — — Mean Age — — — 22.2 — 23.9 24.0 — — Mean Score — — — 486 — 684 739 — —

Latvia

Total 58 44 50 41 34 93 9.7% 89.2% 1.1% Men 28 34 31 23 11 29 20.7% 79.3% 0.0% Women 30 10 19 18 23 64 4.7% 93.8% 1.6% Mean Age 23.7 24.7 23.4 24.7 23.9 22.6 — 22.4 — Mean Score 571 582 591 580 582 622 — 623 —

Lebanon


Lesotho

Total 1 2 13 6 2 5 — — — Men 1 1 3 4 2 5 — — — Women 0 1 10 2 0 0 — — — Mean Age — — 28.7 28.7 — — — — — Mean Score — — 375 517 — — — — —

Liberia

Total 5 6 11 6 5 5 — — — Men 3 3 2 4 5 5 — — — Women 2 3 9 2 0 0 — — — Mean Age 28.8 30.3 29.8 27.2 36.2 — — — — Mean Score 304 275 300 332 354 — — — —

Libyan Arab Jamahiriya


Liechtenstein

Total 3 3 6 5 5 8 — — — Men 3 1 6 3 4 8 — — — Women 0 2 0 2 1 0 — — — Mean Age — — 35.2 26.8 30.6 — — — — Mean Score — — 532 556 488 — — — —

Lithuania


Luxembourg





Residence



Non-MBA

Master’s

Doctoral /Other

Macao


Macedonia


Madagascar

Total 2 2 6 4 3 14 64.3% 35.7% 0.0% Men 1 2 5 2 2 9 — — — Women 1 0 1 2 1 5 — — — Mean Age — — 32.3 — — 25.6 — — — Mean Score — — 448 — — 596 — — —

Malawi

Total 9 3 6 5 8 5 — — — Men 4 3 2 4 5 3 — — — Women 5 0 4 1 3 2 — — — Mean Age 35.0 — 33.2 32.4 33.6 — — — — Mean Score 528 — 375 454 406 — — — —

Malaysia


Maldives

Total 3 3 6 5 5 7 — — — Men 2 1 5 3 4 5 — — — Women 1 2 1 2 1 2 — — — Mean Age — — 26.0 27.6 29.6 — — — — Mean Score — — 515 426 376 — — — —

Mali


Malta

Total 6 4 4 9 5 24 29.2% 70.8% 0.0% Men 5 4 2 6 2 10 60.0% 40.0% 0.0% Women 1 0 2 3 3 14 7.1% 92.9% 0.0% Mean Age 25.5 — — 23.8 22.6 22.7 — 22.1 — Mean Score 505 — — 536 550 547 — 501 —

Martinique

Total 6 3 2 3 0 — — — — Men 6 0 2 2 0 — — — — Women 0 3 0 1 0 — — — — Mean Age 30.3 — — — — — — — — Mean Score 488 — — — — — — — —




Residence



Non-MBA

Master’s

Doctoral /Other

Mauritania


Mauritius


Mexico

Total 1,388 1,454 1,589 1,137 1,275 3,321 88.6% 9.8% 1.5% Men 1,016 1,054 1,196 786 947 2,591 90.5% 8.0% 1.5% Women 372 400 393 351 328 730 81.9% 16.4% 1.6% Mean Age 26.7 26.8 26.9 27.1 27.0 27.1 27.1 26.2 33.2 Mean Score 520 513 517 508 525 548 556 493 452

Moldova


Monaco

Total 15 9 12 13 16 37 48.6% 51.4% 0.0% Men 7 6 6 7 14 33 45.5% 54.5% 0.0% Women 8 3 6 6 2 4 — — — Mean Age 24.6 24.4 29.9 25.2 28.9 26.9 30.1 23.9 — Mean Score 452 584 460 513 509 508 501 515 —

Mongolia


Montenegro

Total 0 0 0 10 6 13 30.8% 53.8% 15.4% Men 0 0 0 3 1 2 — — — Women 0 0 0 7 5 11 18.2% 63.6% 18.2% Mean Age — — — 24.8 23.7 24.2 — — — Mean Score — — — 480 505 521 — — —

Montserrat


Morocco





Residence



Non-MBA

Master’s

Doctoral /Other

Mozambique

Total 12 8 2 9 11 30 83.3% 16.7% 0.0% Men 8 6 1 6 8 23 82.6% 17.4% 0.0% Women 4 2 1 3 3 7 — — — Mean Age 27.9 27.8 — 29.4 27.0 26.4 27.0 — — Mean Score 495 443 — 444 548 585 590 — —

Myanmar

Total 9 2 9 11 14 37 59.5% 40.5% 0.0% Men 4 0 3 3 6 23 52.2% 47.8% 0.0% Women 5 2 6 8 8 14 71.4% 28.6% 0.0% Mean Age 28.7 — 29.8 26.4 24.7 24.3 24.6 23.9 — Mean Score 474 — 400 396 491 523 488 574 —

Namibia


Nepal


Netherlands

Total 1,071 1,049 1,109 1,140 2,248 4,139 19.6% 78.8% 1.5% Men 701 707 727 728 1,435 2,686 20.6% 77.6% 1.8% Women 370 342 382 412 813 1,453 17.8% 81.1% 1.1% Mean Age 26.3 26.7 25.8 25.2 24.0 24.1 27.0 23.3 26.0 Mean Score 531 544 545 539 507 533 582 520 591

Netherlands Antilles

Total 5 5 0 0 0 — — — — Men 2 3 0 0 0 — — — — Women 3 2 0 0 0 — — — — Mean Age 28.2 22.0 — — — — — — — Mean Score 484 428 — — — — — — —

New Caledonia

Total 6 2 4 7 3 9 — — — Men 2 1 3 2 0 0 — — — Women 4 1 1 5 3 9 — — — Mean Age 23.5 — — 24.6 — — — — — Mean Score 622 — — 624 — — — — —

New Zealand


Nicaragua

Total 31 34 31 22 31 101 72.3% 5.0% 22.8% Men 19 18 16 15 12 47 74.5% 2.1% 23.4% Women 12 16 15 7 19 54 70.4% 7.4% 22.2% Mean Age 26.4 26.4 25.4 27.2 26.0 26.6 25.3 — 30.4 Mean Score 522 471 478 540 489 529 529 — 543




Residence



Non-MBA

Master’s

Doctoral /Other

Niger


Nigeria


Northern Mariana Islands


Norway


Oman


Pakistan


Palau


Palestinian Territory


Panama





Residence



Non-MBA

Master’s

Doctoral /Other

Papua New Guinea


Paraguay


Peru

Total 396 361 445 457 578 1,672 93.4% 6.4% 0.2% Men 266 239 276 290 371 1,122 93.0% 6.8% 0.2% Women 130 122 169 167 207 550 94.0% 5.6% 0.4% Mean Age 28.6 28.6 28.6 29.0 28.2 28.0 28.0 27.1 — Mean Score 560 566 565 558 580 599 601 561 —

Philippines

Total 251 236 270 278 324 1,143 89.9% 9.4% 0.8% Men 124 124 135 169 187 668 90.9% 8.8% 0.3% Women 127 112 135 109 137 475 88.4% 10.1% 1.5% Mean Age 26.2 26.7 26.1 26.5 27.1 26.9 26.9 26.2 — Mean Score 556 542 559 522 531 560 565 526 —

Pitcairn


Poland


Portugal


Puerto Rico


Qatar





Residence



Non-MBA

Master’s

Doctoral /Other

Republic of Congo

Total 1 2 0 0 5 12 75.0% 25.0% 0.0% Men 1 2 0 0 5 12 75.0% 25.0% 0.0% Women 0 0 0 0 0 0 — — — Mean Age — — — — 33.2 38.8 — — — Mean Score — — — — 302 279 — — —

Reunion

Total 7 3 5 3 1 1 — — — Men 4 3 4 3 0 0 — — — Women 3 0 1 0 1 1 — — — Mean Age 29.3 — 26.0 — — — — — — Mean Score 500 — 450 — — — — — —

Romania


Russia

Total 1,408 1,399 1,754 1,524 1,460 3,437 57.1% 40.5% 2.4% Men 707 693 874 766 761 1,952 67.5% 30.7% 1.8% Women 701 706 880 758 699 1,485 43.5% 53.4% 3.1% Mean Age 25.9 25.2 25.6 25.1 25.2 25.5 27.9 22.0 28.9 Mean Score 559 571 564 566 566 600 609 587 611

Rwanda


Saint Kitts and Nevis


Saint Lucia

Total 6 6 3 4 3 12 33.3% 66.7% 0.0% Men 4 2 0 0 0 0 — — — Women 2 4 3 4 3 12 33.3% 66.7% 0.0% Mean Age 29.8 26.5 — — — 25.9 — — — Mean Score 457 525 — — — 425 — — —

Samoa


San Marino





Residence



Non-MBA

Master’s

Doctoral /Other

Saudi Arabia


Senegal


Serbia

Total 0 0 0 81 95 156 39.1% 39.7% 21.2% Men 0 0 0 43 53 97 34.0% 39.2% 26.8% Women 0 0 0 38 42 59 47.5% 40.7% 11.9% Mean Age — — — 25.4 24.8 24.9 25.3 23.4 26.7 Mean Score — — — 553 512 579 552 595 600

Serbia and Montenegro

Total 101 99 90 0 0 — — — — Men 55 62 54 0 0 — — — — Women 46 37 36 0 0 — — — — Mean Age 25.5 25.3 25.0 — — — — — — Mean Score 546 528 528 — — — — — —

Seychelles


Sierra Leone

Total 1 6 4 1 5 6 — — — Men 1 3 2 0 3 5 — — — Women 0 3 2 1 2 1 — — — Mean Age — 32.0 — — 33.4 — — — — Mean Score — 457 — — 376 — — — —

Singapore

Total 2,373 2,442 2,829 1,973 1,976 5,845 72.7% 24.1% 3.2% Men 1,456 1,432 1,677 1,128 1,158 3,518 75.4% 22.1% 2.5% Women 917 1,010 1,152 845 818 2,327 68.8% 27.0% 4.2% Mean Age 28.3 28.1 28.1 28.2 28.4 28.0 28.3 26.8 30.2 Mean Score 599 598 604 606 606 627 630 619 625

Sint Maarten


Slovakia





Residence



Non-MBA

Master’s

Doctoral /Other

Slovenia


Somalia


South Africa


South Sudan


Spain

Total 1,096 946 1,058 898 935 2,173 72.3% 26.2% 1.6% Men 817 693 773 654 666 1,564 72.2% 26.0% 1.9% Women 279 253 285 244 269 609 72.4% 26.8% 0.8% Mean Age 27.5 27.4 27.2 26.9 26.5 26.6 27.6 23.6 30.7 Mean Score 580 582 578 583 579 605 620 569 531

Sri Lanka

Total 62 64 67 47 48 135 79.3% 6.7% 14.1% Men 34 33 38 27 29 94 87.2% 7.4% 5.3% Women 28 31 29 20 19 41 61.0% 4.9% 34.1% Mean Age 27.6 29.0 27.4 26.5 26.7 26.7 26.2 — 29.7 Mean Score 521 503 497 488 505 549 582 — 387

St. Vincent and Grenadines

Total 4 2 2 0 2 12 100.0% 0.0% 0.0% Men 3 1 0 0 0 0 — — — Women 1 1 2 0 2 12 100.0% 0.0% 0.0% Mean Age — — — — — 29.6 29.6 — — Mean Score — — — — — 599 599 — —

Sudan

Total 0 5 4 0 0 — — — — Men 0 5 2 0 0 — — — — Women 0 0 2 0 0 — — — — Mean Age — 27.0 — — — — — — — Mean Score — 448 — — — — — — —

Suriname

Total 2 1 1 5 2 1 — — — Men 0 0 1 4 2 1 — — — Women 2 1 0 1 0 0 — — — Mean Age — — — 22.8 — — — — — Mean Score — — — 458 — — — — —




Residence



Non-MBA

Master’s

Doctoral /Other

Swaziland


Sweden


Switzerland


Syrian Arab Republic

Total 23 29 3 0 0 — — — — Men 17 22 3 0 0 — — — — Women 6 7 0 0 0 — — — — Mean Age 28.0 26.6 — — — — — — — Mean Score 463 471 — — — — — — —

Taiwan


Tajikistan

Total 6 5 9 2 3 9 — — — Men 6 3 7 1 3 9 — — — Women 0 2 2 1 0 0 — — — Mean Age 27.7 27.4 26.9 — — — — — — Mean Score 403 454 538 — — — — — —

Tanzania


Thailand

Total 1,576 1,467 1,813 1,542 1,594 3,482 75.0% 21.5% 3.5% Men 675 640 791 685 687 1,500 75.0% 22.0% 3.0% Women 901 827 1,022 857 907 1,982 75.0% 21.2% 3.8% Mean Age 25.4 25.2 25.2 25.1 25.1 25.2 25.3 24.4 28.3 Mean Score 515 515 512 508 523 554 560 540 514

Togo

Total 2 1 3 1 5 7 — — — Men 2 1 1 1 5 7 — — — Women 0 0 2 0 0 0 — — — Mean Age — — — — 30.4 — — — — Mean Score — — — — 474 — — — —




Residence



Non-MBA

Master’s

Doctoral /Other

Trinidad and Tobago


Tunisia


Turkey


Turkmenistan

Total 3 7 3 5 6 17 47.1% 47.1% 5.9% Men 2 6 2 2 3 11 45.5% 45.5% 9.1% Women 1 1 1 3 3 6 — — — Mean Age — 27.4 — 22.0 27.0 25.8 — — — Mean Score — 411 — 490 528 634 — — —

Turks and Caicos Islands


Uganda


Ukraine


United Arab Emirates

Total 1,152 1,174 1,105 844 894 2,508 82.5% 13.4% 4.1% Men 775 828 788 593 626 1,879 84.4% 11.5% 4.0% Women 377 346 317 251 268 629 76.8% 18.8% 4.5% Mean Age 26.9 27.2 27.3 27.1 27.2 26.7 26.7 25.5 30.5 Mean Score 515 521 533 529 531 583 589 546 583

United Kingdom





Residence



Non-MBA

Master’s

Doctoral /Other

United States


Uruguay


US Minor Outlying Islands


Uzbekistan


Venezuela


Vietnam

Total 591 604 670 664 835 2,273 61.9% 33.1% 5.0% Men 231 221 276 279 335 897 69.2% 27.3% 3.5% Women 360 383 394 385 500 1,376 57.2% 36.8% 6.0% Mean Age 25.8 25.3 25.0 24.9 24.9 25.0 25.5 23.5 27.2 Mean Score 527 528 546 551 557 585 584 585 589

Virgin Islands, British

Total 2 0 3 2 3 13 100.0% 0.0% 0.0% Men 1 0 1 0 2 8 — — — Women 1 0 2 2 1 5 — — — Mean Age — — — — — 29.8 29.8 — — Mean Score — — — — — 502 502 — —

Virgin Islands, US


Wallis and Futuna Islands





Residence



Non-MBA

Master’s

Doctoral /Other

Western Sahara


Yemen

Total 7 3 6 8 2 4 — — — Men 3 3 2 6 1 4 — — — Women 4 0 4 2 1 0 — — — Mean Age 32.4 — 29.2 27.6 — — — — — Mean Score 484 — 355 400 — — — — —

Zambia


Zimbabwe


Note: Dashes that appear in the table are used to indicate “not applicable,” such as when there are no examinees in a given subgroup, and thus, no scores exist. For examinee privacy, dashes are also used in place of mean age and mean Total scores when there are fewer than five examinees from a given subgroup or country.



Regional Categories

AFRICAAlgeria Angola Benin Botswana Burkina Faso Burundi Cameroon Cape Verde Central African Republic Chad Comoros Congo, Dem. Rep. of the Congo, Republic of the Cote d’Ivoire (Ivory Coast) Djibouti Egypt Equatorial Guinea Eritrea

Ethiopia Gabon Gambia, The Ghana Guinea Kenya Lesotho Liberia Libya Madagascar Malawi Mali Mauritania Mauritius Morocco Mozambique Namibia Niger

Nigeria Reunion Rwanda Sao Tome and Príncipe Senegal Seychelles Sierra Leone Somalia South Africa South Sudan Sudan Swaziland Tanzania Togo Tunisia Uganda Zambia Zimbabwe

AUSTRALIA AND PACIFIC ISLANDSAmerican Samoa Australia Christmas Island Fiji Guam Kiribati

Marshall Islands Micronesia, Federated States of New Caledonia New Zealand Northern Mariana Islands Palau

Papua New Guinea Samoa Tahiti Tonga

CANADA Canada

CENTRAL AND SOUTH ASIAAfghanistan Bangladesh Bhutan India

Kazakhstan Kyrgyzstan Nepal Pakistan

Tajikistan Turkmenistan Uzbekistan

EAST AND SOUTHEAST ASIABrunei Cambodia China, People’s Republic of East Timor Hong Kong (SAR of China) Indonesia Japan

Korea, D.P.R. of (North) Korea, Rep. of (South) Laos Macau (SAR of China) Malaysia Maldives Myanmar (Burma)

Mongolia Philippines Singapore Sri Lanka Taiwan Thailand Vietnam

EASTERN EUROPEAlbania Armenia Azerbaijan Belarus Bosnia-Herzegovina Bulgaria Croatia Czech Republic

Estonia Georgia Hungary Latvia Lithuania Macedonia, The F.Y.R. of Moldova Montenegro

Poland Romania Russia Serbia, Republic of Slovakia Slovenia Ukraine



MEXICO, CARIBBEAN, AND LATIN AMERICAAnguilla Antigua and Barbuda Argentina Aruba Bahamas Barbados Belize Bermuda Bolivia Brazil British Virgin Islands Cayman Islands Chile Colombia Costa Rica

Cuba Dominica, Commonwealth of Dominican Republic Ecuador El Salvador Grenada Guadaloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat

Nicaragua Panama Paraguay Peru Puerto Rico St. Kitts St. Lucia St. Vincent and The Grenadines Suriname Trinidad and Tobago Turks and Caicos Islands Uruguay US Virgin Islands Venezuela

MIDDLE EASTBahrain Gaza Strip Iran Iraq Israel Jordan

Kuwait Lebanon Oman Palestinian Territories Qatar Saudi Arabia

Syria Turkey United Arab Emirates West Bank Yemen

UNITED STATES United States of America

WESTERN EUROPEAndorra Austria Belgium Cyprus Denmark Finland France Germany Gibraltar

Greece Holy See (Vatican City) Iceland Ireland Italy Liechtenstein Luxembourg Malta Monaco

Netherlands Norway Portugal San Marino Spain Sweden Switzerland United Kingdom

Contributors

The following individuals from the Research Department in the School Products Division of GMAC made significant contributions to the publication of this report: Alex Chisholm, Director, Statistical Analysis, report concept and design, analysis, interpretation of data, and drafting, revising of manuscript for intellectual content; David Svancer, Research Analyst Manager, data preparation and manuscript review; Michelle Sparkman Renz, Director, Research Communications, manuscript review; Paula Bruggeman, Editor/Writer, Manager, Research Communications, editorial review and publication management; Tacoma Williams, Research Coordinator, quality assurance; Paula McKay, Director, School Products, content review; and Robert Alig, Executive Vice President, School Products, manuscript review.

Contact Information For questions or comments regarding the study findings, methodology, or data, please contact Alex Chisholm at [email protected], or the GMAC Research Department at [email protected].

For more information about all Research products, surveys, and services, visit gmac.com/research.


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Related Publications • 2014 mba.com Prospective Students Survey Report

This survey report offers information about the motivations, reservations, intended career outcomes, and funding expectations of prospective graduate management students who have registered on mba.com. Rich survey data offer insights into key issues that affect school recruitment success. gmac.com/prospectivestudents

• 2014 mba.com Prospective Students Interactive Research Tool (For GMAT using schools) This interactive data research tool allows schools to create customized searches of survey data regarding the motivations, preferences, program choices of thousands of individuals who are considering applying to a graduate business school program. This report represents data collected from more than 12,000 prospective students who registered on mba.com from October 2012 through September 2013. gmac.com/interactiveresearch

• GMAT® Trends Tracker 2014 (For GMAT using schools) The GMAT Trends Tracker is an Adobe Flex tool that presents GMAT exam data from testing years 2010 through 2014 in a dynamic format with additional student mobility data. The GMAT Trends Tracker offers graphical displays of data tables and the ability to select and view the regional and demographic data of interest to you. All data can be downloaded for further use. gmac.com/geographictrends

Related Admissions Recruiting Resources

Looking for more students? The Graduate Management Admission Search Service® (GMASS®) database can help you find the best talent to recruit for your programs. As a GMAT score recipient, you have access to the GMASS global database of prospective candidates interested in graduate management education—nearly 400,000 candidates who are waiting to hear from you.

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• Save money: GMASS is a cost-effective way to build multi-channel marketing programs To get more information or to start a GMASS subscription, contact Paula McKay at [email protected], or visit gmac.com/gmass.


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http://www.gmac.com/market-intelligence-and-research/market-research/interactive-research.aspx

http://www.gmac.com/market-intelligence-and-research/gmat-geographic-trend-reports.aspx


http://www.gmac.com/reach-and-recruit-students/recruit-students-for-your-program/recruit-with-precision.aspx

Market Research

GMAC provides timely information to help drive your strategic decisions

GMAC trends analysis and statistical data on graduate business education inform business and employment reporting in leading news publications. Below is a list of the research we produce.

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Interactive Research: Use interactive research tools to visually display trends and export data. (Note: Due to the rich potential for market advantage, access to our most detailed tools is limited to GMAT using schools and study participants.)

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