Enrolment In Polytechnic Diploma Courses By Type Of Course And Sex, Annual
Description
Annual enrolment in polytechnic diploma courses in Singapore by type of course and sex from 1993 through 2024, compiled by the Singapore Department of Statistics from MOE and polytechnic sources in wide-year CSV. Footnotes document SSEC classification changes; supports tertiary pathway and gender balance monitoring across local polytechnics.
Official description
Source: NATIONAL INSTITUTE OF EARLY CHILDHOOD DEVELOPMENT (FROM 2019), MINISTRY OF EDUCATION (FROM 2011), SINGAPORE POLYTECHNIC, NGEE ANN POLYTECHNIC, REPUBLIC POLYTECHNIC, TEMASEK POLYTECHNIC, NANYANG POLYTECHNIC Data Last Updated: 09/01/2026 Update Frequency: Annual Footnotes: Data prior to 2015 are classified according to the Singapore Standard Educational Classification (SSEC) 2010 while data for 2015 to 2019 and from 2020 are classified according to SSEC 2015 and SSEC 2020 respectively. Covers full-time and part-time polytechnic diploma courses. Data include students who are concurrently enrolled in advanced diploma courses. With effect from 2011, data included source from MOE. With effect from 2017, there are courses whose main field of study is not elsewhere classifiable. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M850481
- Last updated
- Coverage
- 1993-01-01 – 2024-12-31
- Rows
- 26
- Columns
- 33
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Males | 37632.000000 | 37714.000000 | 38080.000000 | 39780.000000 | 41578.000000 | 41533.000000 | 41480.000000 | 40930.000000 | 41287.000000 | 43235.000000 | 44893.000000 | 45299.000000 | 44092.000000 | 43427.000000 | 42960.000000 | 42030.000000 | 40583.000000 | 38625.000000 | 36123.000000 | 34266.000000 | 32962 | 32848 | 32783 | 31813 | 31108 | 30725 | 30035 | 29681 | 28412 | 27000 | 24867 | 23264 |
| Males: Education | 277.000000 | 150.000000 | 161.000000 | 163.000000 | 176.000000 | 179.000000 | 153.000000 | 121.000000 | 75.000000 | 71.000000 | 69.000000 | 79.000000 | 54.000000 | 50.000000 | 36.000000 | 29.000000 | 18.000000 | 25.000000 | 17.000000 | 15.000000 | 6 | 7 | 9 | 12 | 11 | 4 | na | na | na | na | na | na |
| Males: Applied Arts | 2094.000000 | 2131.000000 | 2103.000000 | 2123.000000 | 2278.000000 | 2283.000000 | 2248.000000 | 2163.000000 | 2172.000000 | 2287.000000 | 2685.000000 | 2546.000000 | 2637.000000 | 2503.000000 | 2387.000000 | 2093.000000 | 1831.000000 | 1583.000000 | 1356.000000 | 1056.000000 | 910 | 845 | 865 | 861 | 841 | 769 | 645 | 507 | 504 | 335 | 292 | 238 |
| Males: Humanities & Social Sciences | 208.000000 | 190.000000 | 194.000000 | 203.000000 | 215.000000 | 244.000000 | 262.000000 | 256.000000 | 262.000000 | 274.000000 | 1092.000000 | 1053.000000 | 966.000000 | 843.000000 | 625.000000 | 469.000000 | 340.000000 | 195.000000 | 76.000000 | 10.000000 | na | na | na | na | na | na | na | na | na | na | na | na |
| Males: Mass Communication & Information Science | 284.000000 | 307.000000 | 350.000000 | 393.000000 | 458.000000 | 490.000000 | 497.000000 | 486.000000 | 484.000000 | 537.000000 | 519.000000 | 522.000000 | 513.000000 | 523.000000 | 516.000000 | 526.000000 | 485.000000 | 439.000000 | 411.000000 | 399.000000 | 421 | 378 | 329 | 227 | 180 | 165 | 178 | 181 | 185 | 148 | 117 | 83 |
| Males: Business & Administration | 5910.000000 | 5513.000000 | 5514.000000 | 5890.000000 | 6165.000000 | 6212.000000 | 6285.000000 | 6143.000000 | 6284.000000 | 6624.000000 | 7414.000000 | 7440.000000 | 6906.000000 | 6822.000000 | 6931.000000 | 6471.000000 | 5672.000000 | 4605.000000 | 3810.000000 | 3267.000000 | 2991 | 2941 | 3072 | 3116 | 3064 | 2947 | 2920 | 2907 | 2962 | 2648 | 2388 | 2038 |
| Males: Legal Studies | 208.000000 | 210.000000 | 245.000000 | 258.000000 | 250.000000 | 202.000000 | 184.000000 | 190.000000 | 203.000000 | 218.000000 | 223.000000 | 221.000000 | 211.000000 | 176.000000 | 156.000000 | 133.000000 | 137.000000 | 131.000000 | 133.000000 | 123.000000 | 118 | 107 | 114 | 128 | 109 | 98 | 88 | 84 | 62 | 53 | 37 | 26 |
| Males: Science & Related Technologies | 1396.000000 | 1273.000000 | 1328.000000 | 1708.000000 | 1467.000000 | 1613.000000 | 1612.000000 | 1679.000000 | 1773.000000 | 1823.000000 | 1852.000000 | 1818.000000 | 1764.000000 | 1774.000000 | 1605.000000 | 1535.000000 | 1504.000000 | 1487.000000 | 1286.000000 | 1169.000000 | 1068 | 971 | 774 | 509 | 444 | 409 | 397 | 366 | 337 | 304 | 260 | 660 |
| Males: Health Sciences | 2057.000000 | 2486.000000 | 2429.000000 | 2406.000000 | 2291.000000 | 2153.000000 | 2032.000000 | 2010.000000 | 2102.000000 | 2203.000000 | 1830.000000 | 1812.000000 | 1880.000000 | 1868.000000 | 1869.000000 | 1645.000000 | 1433.000000 | 1279.000000 | 1301.000000 | 1075.000000 | 848 | 562 | 361 | 396 | 350 | 360 | 331 | 300 | 276 | 232 | 171 | 85 |
| Males: Information Technology | 7361.000000 | 6679.000000 | 6406.000000 | 6550.000000 | 6545.000000 | 6302.000000 | 6117.000000 | 5946.000000 | 6107.000000 | 6503.000000 | 7085.000000 | 7263.000000 | 7048.000000 | 6880.000000 | 6758.000000 | 6932.000000 | 7054.000000 | 7063.000000 | 6740.000000 | 6879.000000 | 6876 | 6907 | 6723 | 5639 | 4801 | 3974 | 3252 | 2534 | 2136 | 1812 | 1346 | 915 |
| Males: Architecture, Building & Real Estate | 995.000000 | 1018.000000 | 1190.000000 | 1191.000000 | 936.000000 | 1188.000000 | 1115.000000 | 1061.000000 | 832.000000 | 934.000000 | 1010.000000 | 986.000000 | 903.000000 | 817.000000 | 951.000000 | 828.000000 | 792.000000 | 724.000000 | 667.000000 | 596.000000 | 588 | 556 | 588 | 626 | 745 | 892 | 952 | 1085 | 1112 | 1045 | 935 | 800 |
| Males: Engineering Sciences | 14430.000000 | 15567.000000 | 15896.000000 | 16368.000000 | 18073.000000 | 17973.000000 | 18446.000000 | 18525.000000 | 18567.000000 | 19234.000000 | 19405.000000 | 20426.000000 | 20252.000000 | 20450.000000 | 20486.000000 | 20706.000000 | 20670.000000 | 20500.000000 | 19873.000000 | 19155.000000 | 18569 | 19066 | 19424 | 19823 | 20097 | 20677 | 20947 | 21400 | 20630 | 20113 | 19045 | 18180 |
| Males: Services | 2412.000000 | 2190.000000 | 2264.000000 | 2527.000000 | 2724.000000 | 2694.000000 | 2529.000000 | 2350.000000 | 2426.000000 | 2527.000000 | 1709.000000 | 1133.000000 | 958.000000 | 721.000000 | 640.000000 | 663.000000 | 647.000000 | 594.000000 | 453.000000 | 522.000000 | 567 | 508 | 524 | 476 | 466 | 430 | 325 | 317 | 208 | 310 | 276 | 239 |
| Females | 34093.000000 | 33376.000000 | 33524.000000 | 34997.000000 | 36484.000000 | 36917.000000 | 36353.000000 | 36283.000000 | 36841.000000 | 38518.000000 | 39407.000000 | 39541.000000 | 38773.000000 | 38508.000000 | 37940.000000 | 36424.000000 | 34179.000000 | 32358.000000 | 30420.000000 | 28858.000000 | 27379 | 27113 | 26535 | 25686 | 24936 | 24209 | 23142 | 21954 | 20702 | 19156 | 17355 | 15534 |
| Females: Education | 2516.000000 | 2510.000000 | 2552.000000 | 2640.000000 | 2722.000000 | 2903.000000 | 2174.000000 | 1842.000000 | 1407.000000 | 1067.000000 | 960.000000 | 966.000000 | 886.000000 | 815.000000 | 737.000000 | 600.000000 | 529.000000 | 523.000000 | 517.000000 | 469.000000 | 413 | 350 | 326 | 292 | 194 | 82 | na | na | na | na | na | na |
| Females: Applied Arts | 3697.000000 | 3668.000000 | 3450.000000 | 3413.000000 | 3381.000000 | 3369.000000 | 3253.000000 | 3128.000000 | 3064.000000 | 3186.000000 | 3448.000000 | 3389.000000 | 3346.000000 | 3104.000000 | 3054.000000 | 2716.000000 | 2386.000000 | 2150.000000 | 1859.000000 | 1543.000000 | 1210 | 1044 | 969 | 881 | 864 | 818 | 733 | 602 | 501 | 377 | 318 | 278 |
| Females: Humanities & Social Sciences | 767.000000 | 712.000000 | 772.000000 | 784.000000 | 732.000000 | 830.000000 | 809.000000 | 792.000000 | 758.000000 | 773.000000 | 1307.000000 | 1284.000000 | 1248.000000 | 1109.000000 | 850.000000 | 743.000000 | 572.000000 | 374.000000 | 167.000000 | 73.000000 | na | na | na | na | na | na | na | na | na | na | na | na |
| Females: Mass Communication & Information Science | 868.000000 | 861.000000 | 989.000000 | 1142.000000 | 1334.000000 | 1396.000000 | 1420.000000 | 1368.000000 | 1436.000000 | 1496.000000 | 1413.000000 | 1328.000000 | 1182.000000 | 1283.000000 | 1215.000000 | 1131.000000 | 1036.000000 | 989.000000 | 1042.000000 | 1052.000000 | 1044 | 916 | 739 | 584 | 456 | 506 | 477 | 419 | 324 | 280 | 261 | 247 |
| Females: Business & Administration | 8692.000000 | 8357.000000 | 8685.000000 | 9277.000000 | 10013.000000 | 9946.000000 | 10004.000000 | 10036.000000 | 10425.000000 | 10968.000000 | 12267.000000 | 11881.000000 | 11139.000000 | 11007.000000 | 11055.000000 | 10468.000000 | 9465.000000 | 8400.000000 | 7524.000000 | 7268.000000 | 7263 | 7585 | 7876 | 7928 | 7929 | 7838 | 7811 | 7740 | 7755 | 7087 | 6748 | 6216 |
| Females: Legal Studies | 411.000000 | 393.000000 | 412.000000 | 444.000000 | 391.000000 | 314.000000 | 281.000000 | 290.000000 | 308.000000 | 312.000000 | 312.000000 | 331.000000 | 340.000000 | 276.000000 | 245.000000 | 238.000000 | 233.000000 | 238.000000 | 238.000000 | 236.000000 | 230 | 245 | 259 | 274 | 229 | 222 | 218 | 203 | 182 | 176 | 111 | 62 |
| Females: Science & Related Technologies | 2386.000000 | 2223.000000 | 2137.000000 | 2405.000000 | 2296.000000 | 2347.000000 | 2442.000000 | 2507.000000 | 2723.000000 | 2881.000000 | 3046.000000 | 2990.000000 | 2971.000000 | 2846.000000 | 2647.000000 | 2397.000000 | 2207.000000 | 2076.000000 | 1777.000000 | 1682.000000 | 1573 | 1406 | 1341 | 1104 | 1168 | 1073 | 927 | 793 | 652 | 493 | 376 | 1220 |
| Females: Health Sciences | 5802.000000 | 5817.000000 | 5905.000000 | 6099.000000 | 6297.000000 | 6130.000000 | 6032.000000 | 5849.000000 | 5704.000000 | 5803.000000 | 5219.000000 | 5468.000000 | 5621.000000 | 5879.000000 | 5860.000000 | 5549.000000 | 5087.000000 | 4714.000000 | 4663.000000 | 4159.000000 | 3632 | 2849 | 2180 | 2058 | 1793 | 1800 | 1762 | 1661 | 1632 | 1508 | 1207 | 715 |
| Females: Information Technology | 2762.000000 | 2357.000000 | 2146.000000 | 2209.000000 | 2310.000000 | 2480.000000 | 2646.000000 | 2904.000000 | 3186.000000 | 3644.000000 | 4226.000000 | 4541.000000 | 4823.000000 | 4963.000000 | 5002.000000 | 5100.000000 | 5024.000000 | 5216.000000 | 5153.000000 | 5144.000000 | 4869 | 4808 | 4305 | 3555 | 2898 | 2423 | 2011 | 1675 | 1433 | 1293 | 1064 | 997 |
| Females: Architecture, Building & Real Estate | 1031.000000 | 1037.000000 | 998.000000 | 1019.000000 | 1026.000000 | 1078.000000 | 1120.000000 | 1139.000000 | 1207.000000 | 1283.000000 | 1329.000000 | 1310.000000 | 1185.000000 | 1063.000000 | 1067.000000 | 991.000000 | 982.000000 | 972.000000 | 955.000000 | 870.000000 | 833 | 857 | 931 | 964 | 917 | 918 | 907 | 926 | 935 | 904 | 964 | 1008 |
| Females: Engineering Sciences | 4077.000000 | 4282.000000 | 4259.000000 | 4231.000000 | 4551.000000 | 4592.000000 | 4666.000000 | 4792.000000 | 4892.000000 | 5253.000000 | 4920.000000 | 5385.000000 | 5472.000000 | 5722.000000 | 5846.000000 | 6139.000000 | 6341.000000 | 6435.000000 | 6303.000000 | 6173.000000 | 6145 | 6876 | 7460 | 7906 | 8352 | 8412 | 8192 | 7840 | 7201 | 6966 | 6242 | 4737 |
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2024 | Numeric | No |
| 2023 | Numeric | No |
| 2022 | Numeric | No |
| 2021 | Numeric | No |
| 2020 | Numeric | No |
| 2019 | Numeric | No |
| 2018 | Numeric | No |
| 2017 | Numeric | No |
| 2016 | Numeric | No |
| 2015 | Numeric | No |
| 2014 | Numeric | No |
| 2013 | Numeric | No |
| 2012 | Numeric | No |
| 2011 | Numeric | No |
| 2010 | Numeric | No |
| 2009 | Numeric | No |
| 2008 | Numeric | No |
| 2007 | Numeric | No |
| 2006 | Numeric | No |
| 2005 | Numeric | No |
| 2004 | Text | No |
| 2003 | Text | No |
| 2002 | Text | No |
| 2001 | Text | No |
| 2000 | Text | No |
| 1999 | Text | No |
| 1998 | Text | No |
| 1997 | Text | No |
| 1996 | Text | No |
| 1995 | Text | No |
| 1994 | Text | No |
| 1993 | Text | No |