Resident Population of Other Ethnic Groups by Age Group, Ethnic Group and Sex (Census of Population 2000)
What this data shows
Published by Singapore Department of Statistics. 19 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (25 columns in total). Last updated 2026-09-20.
Description
This Census of Population 2000 table from the Singapore Department of Statistics breaks down residents classified under 'Other Ethnic Groups' by five-year age band, specific ethnicity and sex. Rather than lumping them together, it names the component communities separately: Eurasian, Caucasian, Arab, Filipino, Thai, Japanese and a residual Others category, each with total, male and female counts. The census recorded about 46,400 residents in these groups in 2000, with Eurasians and Caucasians the two largest. Because Singapore's headline statistics usually report only Chinese, Malay, Indian and Others, this dataset is one of the few sources that lets researchers examine the age and sex structure of these smaller communities.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 29/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8848
- Last updated
- Rows
- 19
- Columns
- 25
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Eurasian) Total | (Eurasian) Males | (Eurasian) Females | (Caucasian) Total | (Caucasian) Males | (Caucasian) Females | (Arab) Total | (Arab) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 46443.000000 | 21818.000000 | 24625.000000 | 15079.000000 | 7630.000000 | 7449.000000 | 10987.000000 | 6111.000000 | 4876.000000 | 7541.000000 | 3787.000000 |
| 0 - 4 | 4166.000000 | 2119.000000 | 2047.000000 | 1013.000000 | 541.000000 | 472.000000 | 1679.000000 | 827.000000 | 852.000000 | 660.000000 | 342.000000 |
| 5 - 9 | 4163.000000 | 2157.000000 | 2006.000000 | 1107.000000 | 553.000000 | 554.000000 | 1462.000000 | 762.000000 | 700.000000 | 769.000000 | 398.000000 |
| 10 - 14 | 3570.000000 | 1833.000000 | 1737.000000 | 1091.000000 | 568.000000 | 523.000000 | 986.000000 | 498.000000 | 488.000000 | 787.000000 | 416.000000 |
| 15 - 19 | 2778.000000 | 1383.000000 | 1395.000000 | 837.000000 | 414.000000 | 423.000000 | 532.000000 | 226.000000 | 306.000000 | 705.000000 | 357.000000 |
| 20 - 24 | 2207.000000 | 982.000000 | 1225.000000 | 807.000000 | 395.000000 | 412.000000 | 319.000000 | 120.000000 | 199.000000 | 475.000000 | 240.000000 |
| 25 - 29 | 3169.000000 | 1206.000000 | 1963.000000 | 922.000000 | 478.000000 | 444.000000 | 491.000000 | 266.000000 | 225.000000 | 449.000000 | 233.000000 |
| 30 - 34 | 4340.000000 | 1650.000000 | 2690.000000 | 1148.000000 | 592.000000 | 556.000000 | 844.000000 | 533.000000 | 311.000000 | 433.000000 | 213.000000 |
| 35 - 39 | 4919.000000 | 2073.000000 | 2846.000000 | 1450.000000 | 748.000000 | 702.000000 | 993.000000 | 651.000000 | 342.000000 | 586.000000 | 321.000000 |
| 40 - 44 | 4323.000000 | 1971.000000 | 2352.000000 | 1424.000000 | 754.000000 | 670.000000 | 927.000000 | 552.000000 | 375.000000 | 640.000000 | 343.000000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Number | Text | No |
| (Total) Total | Numeric | No |
| (Total) Males | Numeric | No |
| (Total) Females | Numeric | No |
| (Eurasian) Total | Numeric | No |
| (Eurasian) Males | Numeric | No |
| (Eurasian) Females | Numeric | No |
| (Caucasian) Total | Numeric | No |
| (Caucasian) Males | Numeric | No |
| (Caucasian) Females | Numeric | No |
| (Arab) Total | Numeric | No |
| (Arab) Males | Numeric | No |
| (Arab) Females | Numeric | No |
| (Filipino) Total | Numeric | No |
| (Filipino) Males | Numeric | No |
| (Filipino) Females | Numeric | No |
| (Thai) Total | Numeric | No |
| (Thai) Males | Text | No |
| (Thai) Females | Numeric | No |
| (Japanese) Total | Numeric | No |
| (Japanese) Males | Text | No |
| (Japanese) Females | Text | No |
| (Others) Total | Numeric | No |
| (Others) Males | Numeric | No |
| (Others) Females | Numeric | No |