Resident University Graduates Aged 15 Years and Over by Field of Study, Country Where Highest Qualification was Attained and Sex (Census of Population 2000)
Description
Census of Population 2000 resident university graduates aged 15 and over by field of study, country where highest qualification was attained, and sex in SingStat CSV. Researchers study overseas versus local degree pathways and gender gaps in tertiary fields. Adapted from TableBuilder CT/8907.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: For more information, please refer to the publication on 'Singapore Census of Population 2000, Statistical Release 2: Education, Language and Religion' (https://www.singstat.gov.sg/find-data/explore-data-themes/population/education-language-spoken-and-literacy/related-information). Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8907
- 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- United Kingdom) Total | (Outside Singapore- United Kingdom) Males | (Outside Singapore- United Kingdom) Females | (Outside Singapore- USA) Total | (Outside Singapore- USA) Males | (Outside Singapore- USA) Females | (Outside Singapore- Canada) Total | (Outside Singapore- Canada) Males | (Outside Singapore- Canada) Females | (Outside Singapore- Australia & New Zealand) Total | (Outside Singapore- Australia & New Zealand) Males | (Outside Singapore- Australia & New Zealand) Females | (Outside Singapore- China, Hong Kong & Taiwan) Total | (Outside Singapore- China, Hong Kong & Taiwan) Males | (Outside Singapore- China, Hong Kong & Taiwan) Females | (Outside Singapore- India) Total | (Outside Singapore- India) Males | (Outside Singapore- India) Females | (Outside Singapore- Others) Total | (Outside Singapore- Others) Males | (Outside Singapore- Others) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 266631.000000 | 147958.000000 | 118673.000000 | 127912.000000 | 65986.000000 | 61926.000000 | 138718.000000 | 81971.000000 | 56747.000000 | 34645.000000 | 23754.000000 | 10890.000000 | 20555.000000 | 13019.000000 | 7536.000000 | 5611.000000 | 3241.000000 | 2369 | 34672.000000 | 18646.000000 | 16025.000000 | 15515.000000 | 8889.000000 | 6626.000000 | 15323.000000 | 7804.000000 | 7519.000000 | 12398.000000 | 6617.000000 | 5782.000000 |
| Education | 6622.000000 | 1965.000000 | 4657.000000 | 3820.000000 | 1124.000000 | 2696.000000 | 2802.000000 | 841.000000 | 1961.000000 | 535.000000 | 251.000000 | 284.000000 | 450.000000 | 147.000000 | 303.000000 | 112.000000 | 41.000000 | 72 | 425.000000 | 114.000000 | 311.000000 | 481.000000 | 132.000000 | 348.000000 | 393.000000 | 62.000000 | 331.000000 | 406.000000 | 94.000000 | 312.000000 |
| Fine & Applied Arts | 5230.000000 | 1604.000000 | 3626.000000 | 2057.000000 | 530.000000 | 1526.000000 | 3174.000000 | 1074.000000 | 2100.000000 | 442.000000 | 171.000000 | 271.000000 | 725.000000 | 224.000000 | 501.000000 | 165.000000 | 69.000000 | 96 | 823.000000 | 308.000000 | 515.000000 | 398.000000 | 123.000000 | 275.000000 | 295.000000 | 63.000000 | 232.000000 | 325.000000 | 116.000000 | 209.000000 |
| Humanities & Social Sciences | 35940.000000 | 13223.000000 | 22717.000000 | 21285.000000 | 7298.000000 | 13986.000000 | 14656.000000 | 5925.000000 | 8731.000000 | 2758.000000 | 1501.000000 | 1257.000000 | 1866.000000 | 1057.000000 | 809.000000 | 1480.000000 | 660.000000 | 820 | 2336.000000 | 1051.000000 | 1285.000000 | 1679.000000 | 550.000000 | 1128.000000 | 2358.000000 | 457.000000 | 1901.000000 | 2179.000000 | 649.000000 | 1530.000000 |
| Mass Communication & Information Science | 4382.000000 | 1550.000000 | 2832.000000 | 1243.000000 | 484.000000 | 758.000000 | 3139.000000 | 1066.000000 | 2074.000000 | 367.000000 | 151.000000 | 215.000000 | 846.000000 | 309.000000 | 537.000000 | 198.000000 | 74.000000 | 124 | 1221.000000 | 397.000000 | 824.000000 | 242.000000 | 72.000000 | 169.000000 | 129.000000 | 39.000000 | 90.000000 | 137.000000 | 23.000000 | 114.000000 |
| Business & Administration | 82038.000000 | 39746.000000 | 42293.000000 | 38687.000000 | 16254.000000 | 22433.000000 | 43352.000000 | 23492.000000 | 19860.000000 | 9530.000000 | 5795.000000 | 3735.000000 | 9059.000000 | 5466.000000 | 3593.000000 | 1706.000000 | 988.000000 | 718 | 15859.000000 | 7853.000000 | 8006.000000 | 1544.000000 | 573.000000 | 971.000000 | 3109.000000 | 1712.000000 | 1397.000000 | 2544.000000 | 1105.000000 | 1439.000000 |
| Law | 6884.000000 | 3680.000000 | 3203.000000 | 3312.000000 | 1676.000000 | 1636.000000 | 3572.000000 | 2005.000000 | 1567.000000 | 2761.000000 | 1624.000000 | 1137.000000 | 171.000000 | 94.000000 | 77.000000 | 10.000000 | 10.000000 | na | 120.000000 | 65.000000 | 54.000000 | 185.000000 | 90.000000 | 94.000000 | 78.000000 | 23.000000 | 54.000000 | 248.000000 | 98.000000 | 150.000000 |
| Natural, Physical, Chemical & Mathematical Sciences | 19032.000000 | 9150.000000 | 9883.000000 | 10615.000000 | 4802.000000 | 5813.000000 | 8417.000000 | 4348.000000 | 4070.000000 | 1496.000000 | 878.000000 | 618.000000 | 943.000000 | 612.000000 | 331.000000 | 471.000000 | 280.000000 | 191 | 1125.000000 | 573.000000 | 552.000000 | 1058.000000 | 685.000000 | 373.000000 | 2098.000000 | 742.000000 | 1356.000000 | 1226.000000 | 577.000000 | 649.000000 |
| Health Sciences | 11725.000000 | 5772.000000 | 5953.000000 | 5996.000000 | 3401.000000 | 2595.000000 | 5730.000000 | 2371.000000 | 3359.000000 | 1672.000000 | 988.000000 | 684.000000 | 382.000000 | 174.000000 | 208.000000 | 86.000000 | 38.000000 | 48 | 1795.000000 | 612.000000 | 1184.000000 | 689.000000 | 188.000000 | 501.000000 | 516.000000 | 135.000000 | 381.000000 | 590.000000 | 237.000000 | 353.000000 |
| Information Technology | 16284.000000 | 10191.000000 | 6093.000000 | 6555.000000 | 3916.000000 | 2639.000000 | 9728.000000 | 6274.000000 | 3454.000000 | 2651.000000 | 1844.000000 | 807.000000 | 1057.000000 | 728.000000 | 329.000000 | 436.000000 | 330.000000 | 105 | 3662.000000 | 2110.000000 | 1552.000000 | 589.000000 | 411.000000 | 178.000000 | 940.000000 | 585.000000 | 355.000000 | 394.000000 | 266.000000 | 128.000000 |
| Architecture & Building | 7775.000000 | 4727.000000 | 3048.000000 | 3903.000000 | 2106.000000 | 1798.000000 | 3872.000000 | 2621.000000 | 1250.000000 | 948.000000 | 665.000000 | 282.000000 | 345.000000 | 241.000000 | 104.000000 | 32.000000 | 25.000000 | 6 | 1460.000000 | 958.000000 | 502.000000 | 584.000000 | 388.000000 | 195.000000 | 123.000000 | 79.000000 | 45.000000 | 380.000000 | 265.000000 | 115.000000 |
| Engineering Sciences | 60656.000000 | 50765.000000 | 9892.000000 | 26488.000000 | 22198.000000 | 4290.000000 | 34168.000000 | 28567.000000 | 5602.000000 | 10171.000000 | 9028.000000 | 1143.000000 | 3865.000000 | 3399.000000 | 466.000000 | 717.000000 | 636.000000 | 81 | 4559.000000 | 3940.000000 | 619.000000 | 7272.000000 | 5230.000000 | 2042.000000 | 4346.000000 | 3544.000000 | 802.000000 | 3237.000000 | 2789.000000 | 448.000000 |
| Others | 10062.000000 | 5585.000000 | 4476.000000 | 3953.000000 | 2197.000000 | 1756.000000 | 6109.000000 | 3388.000000 | 2720.000000 | 1314.000000 | 858.000000 | 456.000000 | 847.000000 | 569.000000 | 278.000000 | 197.000000 | 90.000000 | 107 | 1286.000000 | 665.000000 | 620.000000 | 797.000000 | 445.000000 | 352.000000 | 938.000000 | 364.000000 | 574.000000 | 730.000000 | 398.000000 | 333.000000 |
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- United Kingdom) Total | Numeric | No |
| (Outside Singapore- United Kingdom) Males | Numeric | No |
| (Outside Singapore- United Kingdom) Females | Numeric | No |
| (Outside Singapore- USA) Total | Numeric | No |
| (Outside Singapore- USA) Males | Numeric | No |
| (Outside Singapore- USA) Females | Numeric | No |
| (Outside Singapore- Canada) Total | Numeric | No |
| (Outside Singapore- Canada) Males | Numeric | No |
| (Outside Singapore- Canada) Females | Text | No |
| (Outside Singapore- Australia & New Zealand) Total | Numeric | No |
| (Outside Singapore- Australia & New Zealand) Males | Numeric | No |
| (Outside Singapore- Australia & New Zealand) Females | Numeric | No |
| (Outside Singapore- China, Hong Kong & Taiwan) Total | Numeric | No |
| (Outside Singapore- China, Hong Kong & Taiwan) Males | Numeric | No |
| (Outside Singapore- China, Hong Kong & Taiwan) Females | Numeric | No |
| (Outside Singapore- India) Total | Numeric | No |
| (Outside Singapore- India) Males | Numeric | No |
| (Outside Singapore- India) Females | Numeric | No |
| (Outside Singapore- Others) Total | Numeric | No |
| (Outside Singapore- Others) Males | Numeric | No |
| (Outside Singapore- Others) Females | Numeric | No |