Graduates From Polytechnic Diploma Courses By Type Of Course And Sex, Annual
Description
Annual polytechnic diploma graduates by type of course and sex from 1993 through 2024, covering full-time and part-time programmes from the five polytechnics plus NIEC and MOE sources under evolving SSEC classifications. Education planners track graduate output by field and gender. Adapted from SingStat TableBuilder TS/M850501.
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 refer to academic year. With effect from 2011, data included source from MOE. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M850501
- 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 | 11104.000000 | 11719.000000 | 12200.000000 | 13276.000000 | 12909.000000 | 12268.000000 | 12457.000000 | 13359.000000 | 13693.000000 | 13632.000000 | 13602.000000 | 13213.000000 | 12819.000000 | 12455.000000 | 11595.000000 | 11375.000000 | 10659.000000 | 9754.000000 | 9649 | 9560 | 9537 | 8556 | 8914 | 8545 | 8182 | 8111 | 7748 | 7153 | 6877 | 6206 | 6057 | 5502 |
| Males: Education | 65.000000 | 53.000000 | 59.000000 | 62.000000 | 55.000000 | 36.000000 | 25.000000 | 13.000000 | 30.000000 | 20.000000 | 21.000000 | 12.000000 | 16.000000 | 5.000000 | 7.000000 | 4.000000 | 9.000000 | 3.000000 | 3 | 0 | 4 | 5 | 3 | na | na | na | na | na | na | na | na | na |
| Males: Applied Arts | 644.000000 | 650.000000 | 666.000000 | 746.000000 | 692.000000 | 646.000000 | 669.000000 | 682.000000 | 759.000000 | 731.000000 | 725.000000 | 783.000000 | 704.000000 | 573.000000 | 489.000000 | 428.000000 | 382.000000 | 298.000000 | 223 | 251 | 243 | 254 | 234 | 213 | 191 | 140 | 96 | 93 | 101 | 66 | 46 | 27 |
| Males: Humanities & Social Sciences | 56.000000 | 67.000000 | 70.000000 | 74.000000 | 89.000000 | 83.000000 | 77.000000 | 90.000000 | 92.000000 | 86.000000 | 315.000000 | 258.000000 | 188.000000 | 151.000000 | 92.000000 | 57.000000 | 8.000000 | 0.000000 | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
| Males: Mass Communication & Information Science | 107.000000 | 125.000000 | 143.000000 | 169.000000 | 159.000000 | 154.000000 | 145.000000 | 179.000000 | 203.000000 | 174.000000 | 162.000000 | 175.000000 | 201.000000 | 163.000000 | 156.000000 | 132.000000 | 117.000000 | 136.000000 | 120 | 136 | 93 | 66 | 45 | 54 | 53 | 59 | 56 | 45 | 33 | 27 | 15 | 11 |
| Males: Business & Administration | 1736.000000 | 1777.000000 | 1816.000000 | 2033.000000 | 2082.000000 | 1929.000000 | 1921.000000 | 2167.000000 | 2273.000000 | 2171.000000 | 2306.000000 | 2118.000000 | 2098.000000 | 2080.000000 | 1662.000000 | 1446.000000 | 1108.000000 | 1059.000000 | 882 | 840 | 896 | 946 | 904 | 861 | 832 | 884 | 861 | 769 | 690 | 631 | 482 | 407 |
| Males: Legal Studies | 62.000000 | 81.000000 | 61.000000 | 60.000000 | 60.000000 | 46.000000 | 60.000000 | 63.000000 | 66.000000 | 59.000000 | 62.000000 | 66.000000 | 43.000000 | 46.000000 | 35.000000 | 47.000000 | 43.000000 | 39.000000 | 28 | 34 | 23 | 38 | 54 | 19 | 29 | 19 | 20 | 6 | 19 | na | na | na |
| Males: Science & Related Technologies | 436.000000 | 431.000000 | 455.000000 | 567.000000 | 518.000000 | 501.000000 | 551.000000 | 589.000000 | 590.000000 | 577.000000 | 555.000000 | 547.000000 | 546.000000 | 446.000000 | 407.000000 | 452.000000 | 409.000000 | 311.000000 | 301 | 324 | 214 | 129 | 121 | 135 | 113 | 112 | 95 | 91 | 83 | 57 | 61 | 142 |
| Males: Health Sciences | 625.000000 | 776.000000 | 715.000000 | 692.000000 | 620.000000 | 610.000000 | 670.000000 | 696.000000 | 661.000000 | 622.000000 | 594.000000 | 612.000000 | 576.000000 | 514.000000 | 380.000000 | 370.000000 | 408.000000 | 407.000000 | 267 | 178 | 127 | 100 | 92 | 126 | 83 | 85 | 74 | 70 | 35 | 35 | na | na |
| Males: Information Technology | 2017.000000 | 1866.000000 | 1920.000000 | 2083.000000 | 1906.000000 | 1746.000000 | 1773.000000 | 2004.000000 | 2051.000000 | 2156.000000 | 2133.000000 | 2062.000000 | 2096.000000 | 2163.000000 | 2075.000000 | 2078.000000 | 2050.000000 | 1862.000000 | 2067 | 2157 | 1974 | 1603 | 1455 | 1193 | 904 | 795 | 581 | 522 | 451 | 269 | 223 | 223 |
| Males: Architecture, Building & Real Estate | 310.000000 | 249.000000 | 355.000000 | 363.000000 | 287.000000 | 320.000000 | 345.000000 | 380.000000 | 323.000000 | 319.000000 | 272.000000 | 277.000000 | 241.000000 | 268.000000 | 221.000000 | 233.000000 | 175.000000 | 176.000000 | 161 | 176 | 158 | 171 | 225 | 282 | 308 | 283 | 325 | 314 | 227 | 232 | 157 | 222 |
| Males: Engineering Sciences | 4330.000000 | 4950.000000 | 5133.000000 | 5505.000000 | 5691.000000 | 5396.000000 | 5562.000000 | 5704.000000 | 5838.000000 | 5946.000000 | 5990.000000 | 5938.000000 | 5870.000000 | 5816.000000 | 5826.000000 | 5908.000000 | 5728.000000 | 5262.000000 | 5375 | 5310 | 5580 | 5000 | 5573 | 5462 | 5525 | 5622 | 5531 | 5142 | 5098 | 4791 | 4950 | 4400 |
| Males: Services | 716.000000 | 694.000000 | 807.000000 | 922.000000 | 750.000000 | 801.000000 | 659.000000 | 792.000000 | 807.000000 | 771.000000 | 467.000000 | 365.000000 | 240.000000 | 230.000000 | 245.000000 | 220.000000 | 222.000000 | 201.000000 | 222 | 154 | 225 | 244 | 208 | 200 | 144 | 112 | 109 | 101 | 140 | 98 | 123 | 70 |
| Females | 10072.000000 | 10892.000000 | 11377.000000 | 12157.000000 | 11913.000000 | 11530.000000 | 11782.000000 | 12446.000000 | 12573.000000 | 12378.000000 | 12354.000000 | 12189.000000 | 12011.000000 | 11314.000000 | 10619.000000 | 9784.000000 | 9682.000000 | 8799.000000 | 8388 | 8511 | 8300 | 7561 | 7671 | 7421 | 6891 | 6530 | 6156 | 5766 | 5228 | 4802 | 4230 | 3838 |
| Females: Education | 848.000000 | 815.000000 | 885.000000 | 864.000000 | 891.000000 | 967.000000 | 416.000000 | 387.000000 | 292.000000 | 298.000000 | 273.000000 | 302.000000 | 202.000000 | 200.000000 | 167.000000 | 173.000000 | 175.000000 | 156.000000 | 128 | 111 | 103 | 99 | 79 | na | na | na | na | na | na | na | na | na |
| Females: Applied Arts | 1067.000000 | 1046.000000 | 1054.000000 | 1059.000000 | 1082.000000 | 934.000000 | 941.000000 | 1000.000000 | 1024.000000 | 977.000000 | 995.000000 | 963.000000 | 855.000000 | 770.000000 | 703.000000 | 576.000000 | 582.000000 | 409.000000 | 319 | 308 | 278 | 241 | 253 | 248 | 211 | 178 | 137 | 100 | 88 | 86 | 73 | 65 |
| Females: Humanities & Social Sciences | 245.000000 | 221.000000 | 264.000000 | 223.000000 | 259.000000 | 242.000000 | 233.000000 | 257.000000 | 261.000000 | 257.000000 | 388.000000 | 369.000000 | 289.000000 | 278.000000 | 183.000000 | 96.000000 | 67.000000 | 0.000000 | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
| Females: Mass Communication & Information Science | 285.000000 | 393.000000 | 427.000000 | 479.000000 | 461.000000 | 447.000000 | 437.000000 | 524.000000 | 498.000000 | 470.000000 | 393.000000 | 463.000000 | 452.000000 | 348.000000 | 325.000000 | 303.000000 | 318.000000 | 400.000000 | 296 | 282 | 257 | 142 | 150 | 143 | 184 | 119 | 89 | 83 | 84 | 68 | 83 | 71 |
| Females: Business & Administration | 2573.000000 | 2930.000000 | 2996.000000 | 3291.000000 | 3316.000000 | 3141.000000 | 3371.000000 | 3681.000000 | 3655.000000 | 3639.000000 | 3598.000000 | 3490.000000 | 3462.000000 | 3364.000000 | 3034.000000 | 2597.000000 | 2341.000000 | 2294.000000 | 2281 | 2388 | 2408 | 2489 | 2438 | 2426 | 2474 | 2389 | 2355 | 2192 | 2120 | 2101 | 1727 | 1645 |
| Females: Legal Studies | 138.000000 | 110.000000 | 118.000000 | 116.000000 | 84.000000 | 76.000000 | 93.000000 | 94.000000 | 92.000000 | 87.000000 | 87.000000 | 126.000000 | 90.000000 | 68.000000 | 90.000000 | 67.000000 | 78.000000 | 82.000000 | 78 | 84 | 104 | 78 | 100 | 66 | 71 | 59 | 53 | 39 | 49 | na | na | na |
| Females: Science & Related Technologies | 668.000000 | 679.000000 | 769.000000 | 884.000000 | 782.000000 | 788.000000 | 846.000000 | 981.000000 | 914.000000 | 923.000000 | 931.000000 | 922.000000 | 845.000000 | 732.000000 | 663.000000 | 592.000000 | 568.000000 | 453.000000 | 460 | 453 | 323 | 334 | 344 | 338 | 262 | 253 | 222 | 121 | 114 | 105 | 117 | 421 |
| Females: Health Sciences | 1798.000000 | 2092.000000 | 1947.000000 | 2140.000000 | 1864.000000 | 1867.000000 | 1895.000000 | 1771.000000 | 1895.000000 | 1697.000000 | 1843.000000 | 1868.000000 | 1971.000000 | 1678.000000 | 1619.000000 | 1447.000000 | 1432.000000 | 1517.000000 | 1130 | 994 | 725 | 577 | 608 | 581 | 488 | 518 | 449 | 453 | 400 | 244 | na | na |
| Females: Information Technology | 644.000000 | 623.000000 | 723.000000 | 824.000000 | 818.000000 | 852.000000 | 1001.000000 | 1099.000000 | 1281.000000 | 1300.000000 | 1488.000000 | 1513.000000 | 1589.000000 | 1610.000000 | 1493.000000 | 1525.000000 | 1720.000000 | 1415.000000 | 1515 | 1526 | 1345 | 1015 | 910 | 756 | 576 | 508 | 441 | 347 | 337 | 299 | 372 | 382 |
| Females: Architecture, Building & Real Estate | 309.000000 | 301.000000 | 323.000000 | 338.000000 | 353.000000 | 339.000000 | 383.000000 | 444.000000 | 420.000000 | 396.000000 | 435.000000 | 353.000000 | 271.000000 | 297.000000 | 318.000000 | 308.000000 | 293.000000 | 274.000000 | 233 | 249 | 312 | 300 | 279 | 272 | 310 | 277 | 260 | 282 | 270 | 320 | 312 | 267 |
| Females: Engineering Sciences | 1157.000000 | 1252.000000 | 1448.000000 | 1453.000000 | 1461.000000 | 1361.000000 | 1610.000000 | 1633.000000 | 1650.000000 | 1718.000000 | 1656.000000 | 1672.000000 | 1856.000000 | 1861.000000 | 1917.000000 | 2008.000000 | 2035.000000 | 1742.000000 | 1887 | 2081 | 2385 | 2242 | 2465 | 2549 | 2279 | 2196 | 2128 | 2122 | 1748 | 1562 | 1530 | 986 |
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 | Text | No |
| 2005 | Text | 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 |