Foreign Wholesale Trade Index, (2017 = 100), In Chained Volume Terms, Quarterly
What this data shows
Published by Singapore Department of Statistics. 14 records. Fields include Data Series, 2024 4Q, 2024 3Q, 2024 2Q (121 columns in total). Covers 1995-01-01 to 2024-12-31. Last updated 2026-09-09.
Description
Quarterly Foreign Wholesale Trade Index for Singapore at chained volume terms with 2017=100 from 1995 through 2024, published by the Singapore Department of Statistics in CSV. Supports trade volume trend analysis, wholesale sector cyclicality research, and macro monitoring with methodology documented on Singstat.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 20/05/2026 Update Frequency: Quarterly Footnotes: Relevant methodology paper is available via https://www.singstat.gov.sg/find-data/explore-data-themes/industry/services/related-information. This series has been discontinued, please refer to the new series, “Foreign Wholesale Trade Series, In Chained Volume Terms”. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M601961
- Last updated
- Coverage
- 1995-01-01 – 2024-12-31
- Rows
- 14
- Columns
- 121
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2024 4Q | 2024 3Q | 2024 2Q | 2024 1Q | 2023 4Q | 2023 3Q | 2023 2Q | 2023 1Q | 2022 4Q | 2022 3Q | 2022 2Q |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 139.875000 | 136.866000 | 128.339000 | 123.308000 | 129.356000 | 123.474000 | 120.136000 | 115.212000 | 126.862000 | 121.558000 | 114.718000 |
| Total (Excluding Petroleum) | 148.854000 | 142.926000 | 141.325000 | 127.212000 | 137.783000 | 127.315000 | 121.167000 | 119.980000 | 135.314000 | 132.086000 | 130.597000 |
| Food, Beverages And Tobacco | 112.274000 | 102.064000 | 91.650000 | 79.311000 | 93.869000 | 85.900000 | 87.168000 | 75.749000 | 83.907000 | 82.863000 | 82.835000 |
| Household Equipment And Furniture | 125.955000 | 135.680000 | 141.540000 | 127.764000 | 101.649000 | 106.341000 | 113.426000 | 129.947000 | 102.027000 | 127.762000 | 141.182000 |
| Petroleum And Petroleum Products | 126.535000 | 126.591000 | 111.262000 | 115.636000 | 117.494000 | 115.735000 | 114.912000 | 106.981000 | 116.110000 | 108.456000 | 95.504000 |
| Chemicals And Chemical Products | 128.508000 | 121.843000 | 117.277000 | 96.295000 | 122.524000 | 109.983000 | 115.276000 | 97.427000 | 119.972000 | 113.232000 | 107.272000 |
| Electronic Components | 234.308000 | 248.593000 | 223.102000 | 204.180000 | 213.217000 | 223.054000 | 181.013000 | 171.464000 | 191.122000 | 184.563000 | 190.479000 |
| Industrial And Construction Machinery | 102.072000 | 116.399000 | 118.981000 | 112.941000 | 113.423000 | 125.555000 | 140.732000 | 128.213000 | 127.543000 | 134.546000 | 120.573000 |
| Telecommunications And Computers | 234.448000 | 188.978000 | 174.201000 | 165.286000 | 211.935000 | 160.428000 | 145.872000 | 180.903000 | 219.799000 | 168.662000 | 158.347000 |
| Metals, Timber And Construction Materials | 141.735000 | 146.467000 | 156.019000 | 139.213000 | 140.621000 | 128.869000 | 116.041000 | 114.782000 | 123.720000 | 129.284000 | 129.474000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2024 4Q | Numeric | No |
| 2024 3Q | Numeric | No |
| 2024 2Q | Numeric | No |
| 2024 1Q | Numeric | No |
| 2023 4Q | Numeric | No |
| 2023 3Q | Numeric | No |
| 2023 2Q | Numeric | No |
| 2023 1Q | Numeric | No |
| 2022 4Q | Numeric | No |
| 2022 3Q | Numeric | No |
| 2022 2Q | Numeric | No |
| 2022 1Q | Numeric | No |
| 2021 4Q | Numeric | No |
| 2021 3Q | Numeric | No |
| 2021 2Q | Numeric | No |
| 2021 1Q | Numeric | No |
| 2020 4Q | Numeric | No |
| 2020 3Q | Numeric | No |
| 2020 2Q | Numeric | No |
| 2020 1Q | Numeric | No |
| 2019 4Q | Numeric | No |
| 2019 3Q | Numeric | No |
| 2019 2Q | Numeric | No |
| 2019 1Q | Numeric | No |
| 2018 4Q | Numeric | No |
| 2018 3Q | Numeric | No |
| 2018 2Q | Numeric | No |
| 2018 1Q | Numeric | No |
| 2017 4Q | Numeric | No |
| 2017 3Q | Numeric | No |
| 2017 2Q | Numeric | No |
| 2017 1Q | Numeric | No |
| 2016 4Q | Numeric | No |
| 2016 3Q | Numeric | No |
| 2016 2Q | Numeric | No |
| 2016 1Q | Numeric | No |
| 2015 4Q | Numeric | No |
| 2015 3Q | Numeric | No |
| 2015 2Q | Numeric | No |
| 2015 1Q | Numeric | No |
| 2014 4Q | Numeric | No |
| 2014 3Q | Numeric | No |
| 2014 2Q | Numeric | No |
| 2014 1Q | Numeric | No |
| 2013 4Q | Numeric | No |
| 2013 3Q | Numeric | No |
| 2013 2Q | Numeric | No |
| 2013 1Q | Numeric | No |
| 2012 4Q | Numeric | No |
| 2012 3Q | Numeric | No |
| 2012 2Q | Numeric | No |
| 2012 1Q | Numeric | No |
| 2011 4Q | Numeric | No |
| 2011 3Q | Numeric | No |
| 2011 2Q | Numeric | No |
| 2011 1Q | Numeric | No |
| 2010 4Q | Numeric | No |
| 2010 3Q | Numeric | No |
| 2010 2Q | Numeric | No |
Showing the first 60 of 121 columns. Download the CSV for the full schema.