Statistics Of Foreign Affiliates In Singapore, Annual
Description
Annual statistics of foreign affiliates in Singapore (inward FATS) from 2016 through 2024, covering employment, value-added, and cross-border trade in goods and services. Economic analysts measure the footprint of foreign-controlled enterprises in Singapore. Adapted from SingStat TableBuilder TS/M085781.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 29/06/2026 Update Frequency: Annual Footnotes: 1. Statistics of foreign affiliates in Singapore are also known as inward foreign affiliates statistics (inward FATS). 2. Employment of enterprises refers to total employment excluding migrant domestic workers. 3. Value-added of enterprises refers to Gross Value Added (GVA) less ownership of dwellings. 4. Exports and Imports of Goods & Services refer to cross-border transactions of goods and services between the Singapore economy and the rest of the world. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M085781
- Last updated
- Coverage
- 2016-01-01 – 2024-12-31
- Rows
- 5
- Columns
- 10
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 |
|---|---|---|---|---|---|---|---|---|---|
| Nominal Value Added | 367.800000 | 347.900000 | 446.700000 | 332.600000 | 252.500000 | 253.800000 | 255.700000 | 221.800000 | 199.100000 |
| Enterprise Count | 38117.000000 | 33350.000000 | 28898.000000 | 26488.000000 | 26017.000000 | 25460.000000 | 24797.000000 | 23289.000000 | 22453.000000 |
| Employment | 1012.600000 | 1000.300000 | 958.600000 | 901.900000 | 919.100000 | 939.300000 | 908.700000 | 866.000000 | 867.800000 |
| Exports Of Goods & Services | 863.200000 | 803.700000 | 874.200000 | 759.400000 | 625.400000 | 596.600000 | 574.400000 | 510.700000 | 458.800000 |
| Imports Of Goods & Services | 795.900000 | 745.400000 | 813.600000 | 678.100000 | 574.900000 | 557.000000 | 552.700000 | 492.100000 | 433.800000 |
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 |