Resident University Graduates Aged 15 Years and Over by Field of Study, Place Where Highest Qualification was Attained and Sex (Census of Population 2020)
Description
Census of Population 2020 table on resident university graduates aged 15 and over, classified by field of study, whether the highest qualification was attained in Singapore or overseas (with selected countries), and sex. Published by the Singapore Department of Statistics in CSV format. Supports higher education geography, overseas study patterns, and gender differences in graduate fields. Excludes full-time students as noted in source footnotes.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 17/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Footnotes: Note: Data pertain to residents who were not attending educational institutions as full-time students and include those who were upgrading their qualifications through part-time courses. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17469
- Last updated
- Rows
- 13
- Columns
- 31
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Singapore) Total | (Singapore) Males | (Singapore) Females | (Outside Singapore - Total) Total | (Outside Singapore - Total) Males | (Outside Singapore - Total) Females | (Outside Singapore - Australia) Total | (Outside Singapore - Australia) Males | (Outside Singapore - Australia) Females | (Outside Singapore - UK) Total | (Outside Singapore - UK) Males | (Outside Singapore - UK) Females | (Outside Singapore - Malaysia) Total | (Outside Singapore - Malaysia) Males | (Outside Singapore - Malaysia) Females | (Outside Singapore - India) Total | (Outside Singapore - India) Males | (Outside Singapore - India) Females | (Outside Singapore - US) Total | (Outside Singapore - US) Males | (Outside Singapore - US) Females | (Outside Singapore - Mainland China) Total | (Outside Singapore - Mainland China) Males | (Outside Singapore - Mainland China) Females | (Outside Singapore - Others) Total | (Outside Singapore - Others) Males | (Outside Singapore - Others) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1007183.000000 | 488586.000000 | 518598.000000 | 636210.000000 | 303860.000000 | 332350.000000 | 370973.000000 | 184726.000000 | 186247.000000 | 79141.000000 | 38440.000000 | 40701.000000 | 65394.000000 | 37898.000000 | 27496.000000 | 43780.000000 | 18253.000000 | 25527.000000 | 45502.000000 | 20814.000000 | 24688.000000 | 38913.000000 | 23273.000000 | 15640.000000 | 26061.000000 | 11868.000000 | 14193.000000 | 72182.000000 | 34180.000000 | 38002.000000 |
| Education | 47044.000000 | 12437.000000 | 34607.000000 | 36127.000000 | 9396.000000 | 26731.000000 | 10916.000000 | 3040.000000 | 7876.000000 | 2308.000000 | 746.000000 | 1562.000000 | 1247.000000 | 481.000000 | 766.000000 | 841.000000 | 196.000000 | 645.000000 | 1175.000000 | 309.000000 | 866.000000 | 1339.000000 | 467.000000 | 872.000000 | 1899.000000 | 381.000000 | 1518.000000 | 2109.000000 | 461.000000 | 1648.000000 |
| Fine & Applied Arts | 25693.000000 | 9904.000000 | 15790.000000 | 13259.000000 | 5291.000000 | 7968.000000 | 12434.000000 | 4613.000000 | 7821.000000 | 2615.000000 | 1281.000000 | 1334.000000 | 2605.000000 | 1037.000000 | 1568.000000 | 810.000000 | 293.000000 | 517.000000 | 785.000000 | 143.000000 | 642.000000 | 1882.000000 | 711.000000 | 1172.000000 | 1285.000000 | 350.000000 | 935.000000 | 2451.000000 | 798.000000 | 1653.000000 |
| Humanities & Social Sciences | 117490.000000 | 40051.000000 | 77439.000000 | 76595.000000 | 25902.000000 | 50693.000000 | 40895.000000 | 14149.000000 | 26746.000000 | 6511.000000 | 2489.000000 | 4022.000000 | 6767.000000 | 3157.000000 | 3610.000000 | 3300.000000 | 744.000000 | 2556.000000 | 4503.000000 | 814.000000 | 3689.000000 | 5339.000000 | 2629.000000 | 2709.000000 | 3598.000000 | 842.000000 | 2757.000000 | 10877.000000 | 3474.000000 | 7403.000000 |
| Mass Communication & Information Science | 28750.000000 | 10397.000000 | 18353.000000 | 18225.000000 | 6736.000000 | 11489.000000 | 10526.000000 | 3661.000000 | 6864.000000 | 4305.000000 | 1599.000000 | 2706.000000 | 1011.000000 | 495.000000 | 516.000000 | 1405.000000 | 338.000000 | 1066.000000 | 319.000000 | 91.000000 | 229.000000 | 1407.000000 | 597.000000 | 810.000000 | 330.000000 | 66.000000 | 264.000000 | 1749.000000 | 475.000000 | 1274.000000 |
| Business & Administration | 354550.000000 | 152237.000000 | 202313.000000 | 236513.000000 | 99412.000000 | 137101.000000 | 118037.000000 | 52825.000000 | 65212.000000 | 33035.000000 | 15074.000000 | 17961.000000 | 17596.000000 | 8887.000000 | 8709.000000 | 15404.000000 | 4395.000000 | 11009.000000 | 12323.000000 | 5618.000000 | 6705.000000 | 15216.000000 | 9136.000000 | 6080.000000 | 4565.000000 | 1281.000000 | 3284.000000 | 19898.000000 | 8434.000000 | 11464.000000 |
| Law | 20049.000000 | 9768.000000 | 10281.000000 | 9875.000000 | 4837.000000 | 5037.000000 | 10174.000000 | 4930.000000 | 5244.000000 | 1242.000000 | 597.000000 | 646.000000 | 6092.000000 | 3151.000000 | 2941.000000 | 434.000000 | 194.000000 | 241.000000 | 290.000000 | 98.000000 | 191.000000 | 791.000000 | 425.000000 | 366.000000 | 465.000000 | 117.000000 | 348.000000 | 859.000000 | 348.000000 | 511.000000 |
| Natural & Mathematical Sciences | 67130.000000 | 29220.000000 | 37910.000000 | 39195.000000 | 17026.000000 | 22169.000000 | 27935.000000 | 12194.000000 | 15741.000000 | 4471.000000 | 1631.000000 | 2840.000000 | 3511.000000 | 1939.000000 | 1572.000000 | 4473.000000 | 1624.000000 | 2849.000000 | 5437.000000 | 1720.000000 | 3717.000000 | 2512.000000 | 1714.000000 | 798.000000 | 1777.000000 | 934.000000 | 844.000000 | 5753.000000 | 2633.000000 | 3120.000000 |
| Health Sciences | 55055.000000 | 17118.000000 | 37937.000000 | 33033.000000 | 10483.000000 | 22550.000000 | 22022.000000 | 6635.000000 | 15387.000000 | 6493.000000 | 1818.000000 | 4675.000000 | 5439.000000 | 2288.000000 | 3151.000000 | 1353.000000 | 311.000000 | 1042.000000 | 1305.000000 | 231.000000 | 1074.000000 | 1105.000000 | 483.000000 | 621.000000 | 1387.000000 | 413.000000 | 974.000000 | 4940.000000 | 1090.000000 | 3850.000000 |
| Information Technology | 83542.000000 | 55110.000000 | 28432.000000 | 45731.000000 | 31971.000000 | 13760.000000 | 37811.000000 | 23139.000000 | 14671.000000 | 7553.000000 | 5005.000000 | 2548.000000 | 4606.000000 | 3058.000000 | 1547.000000 | 5568.000000 | 3191.000000 | 2376.000000 | 9024.000000 | 4670.000000 | 4354.000000 | 2570.000000 | 1819.000000 | 750.000000 | 2266.000000 | 1492.000000 | 774.000000 | 6225.000000 | 3903.000000 | 2322.000000 |
| Architecture, Building and Real Estate | 21413.000000 | 10566.000000 | 10847.000000 | 13203.000000 | 6290.000000 | 6914.000000 | 8210.000000 | 4277.000000 | 3933.000000 | 2208.000000 | 1190.000000 | 1017.000000 | 1852.000000 | 1061.000000 | 792.000000 | 1582.000000 | 643.000000 | 939.000000 | 219.000000 | 59.000000 | 160.000000 | 402.000000 | 268.000000 | 135.000000 | 268.000000 | 146.000000 | 121.000000 | 1679.000000 | 909.000000 | 770.000000 |
| Engineering Sciences | 171280.000000 | 132768.000000 | 38512.000000 | 105884.000000 | 80992.000000 | 24892.000000 | 65396.000000 | 51776.000000 | 13620.000000 | 7374.000000 | 6398.000000 | 976.000000 | 13433.000000 | 11608.000000 | 1826.000000 | 8190.000000 | 6130.000000 | 2060.000000 | 9530.000000 | 6749.000000 | 2780.000000 | 5711.000000 | 4690.000000 | 1021.000000 | 7566.000000 | 5533.000000 | 2032.000000 | 13593.000000 | 10668.000000 | 2925.000000 |
| Others | 15188.000000 | 9010.000000 | 6177.000000 | 8570.000000 | 5523.000000 | 3047.000000 | 6618.000000 | 3487.000000 | 3131.000000 | 1027.000000 | 613.000000 | 414.000000 | 1234.000000 | 736.000000 | 498.000000 | 420.000000 | 193.000000 | 227.000000 | 593.000000 | 311.000000 | 282.000000 | 639.000000 | 334.000000 | 305.000000 | 655.000000 | 313.000000 | 341.000000 | 2049.000000 | 987.000000 | 1062.000000 |
Columns
| Column | Type | Categorical |
|---|---|---|
| Number | Text | No |
| (Total) Total | Numeric | No |
| (Total) Males | Numeric | No |
| (Total) Females | Numeric | No |
| (Singapore) Total | Numeric | No |
| (Singapore) Males | Numeric | No |
| (Singapore) Females | Numeric | No |
| (Outside Singapore - Total) Total | Numeric | No |
| (Outside Singapore - Total) Males | Numeric | No |
| (Outside Singapore - Total) Females | Numeric | No |
| (Outside Singapore - Australia) Total | Numeric | No |
| (Outside Singapore - Australia) Males | Numeric | No |
| (Outside Singapore - Australia) Females | Numeric | No |
| (Outside Singapore - UK) Total | Numeric | No |
| (Outside Singapore - UK) Males | Numeric | No |
| (Outside Singapore - UK) Females | Numeric | No |
| (Outside Singapore - Malaysia) Total | Numeric | No |
| (Outside Singapore - Malaysia) Males | Numeric | No |
| (Outside Singapore - Malaysia) Females | Numeric | No |
| (Outside Singapore - India) Total | Numeric | No |
| (Outside Singapore - India) Males | Numeric | No |
| (Outside Singapore - India) Females | Numeric | No |
| (Outside Singapore - US) Total | Numeric | No |
| (Outside Singapore - US) Males | Numeric | No |
| (Outside Singapore - US) Females | Numeric | No |
| (Outside Singapore - Mainland China) Total | Numeric | No |
| (Outside Singapore - Mainland China) Males | Numeric | No |
| (Outside Singapore - Mainland China) Females | Numeric | No |
| (Outside Singapore - Others) Total | Numeric | No |
| (Outside Singapore - Others) Males | Numeric | No |
| (Outside Singapore - Others) Females | Numeric | No |