Input-Output Multipliers (Supply, Use and Input-Output Tables 2016)
What this data shows
Published by Singapore Department of Statistics. 105 records. Fields include Coefficient, (Output) Total, (Output) Direct, (Output) Indirect (10 columns in total). Last updated 2021-03-22.
Description
Industry input-output multipliers from Singapore’s 2016 Supply, Use and Input-Output Tables showing total, direct, and indirect effects on output, value added, and imports. Economists model policy and demand shocks across production linkages. Adapted from SingStat TableBuilder CT/17291.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 22/03/2021 Update Frequency: Annual Survey period: Supply, Use and Input-Output Tables 2016 Footnotes: This table shows the total, direct, and indirect output, value added, and imports multipliers by industry. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17291
- Last updated
- Rows
- 105
- Columns
- 10
Chart
Values are summed where multiple rows share the same category.
Data
| Coefficient | (Output) Total | (Output) Direct | (Output) Indirect | (Value Added) Total | (Value Added) Direct | (Value Added) Indirect | (Imports) Total | (Imports) Direct | (Imports) Indirect |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture and nursery products | 1790.753600 | 1000.000000 | 790.753600 | 612.408100 | 242.206300 | 370.201800 | 385.303400 | 219.8203 | 165.483100 |
| Livestock | 1412.772100 | 1000.000000 | 412.772100 | 750.301700 | 572.377100 | 177.924600 | 246.009100 | 152.1441 | 93.865000 |
| Fishing and aquaculture | 1389.771700 | 1000.000000 | 389.771700 | 640.556400 | 485.678300 | 154.878100 | 355.968400 | 254.8281 | 101.140300 |
| Food preparations | 1420.706900 | 1000.000000 | 420.706900 | 453.214700 | 289.153000 | 164.061700 | 545.737300 | 422.6112 | 123.126100 |
| Oils and fats | 1390.274700 | 1000.000000 | 390.274700 | 309.186900 | 187.431500 | 121.755400 | 690.149200 | 535.5807 | 154.568500 |
| Dairy products | 1289.450700 | 1000.000000 | 289.450700 | 638.332000 | 522.327500 | 116.004500 | 361.126500 | 276.1293 | 84.997200 |
| Other food products n.e.c | 1533.898800 | 1000.000000 | 533.898800 | 539.099300 | 325.753300 | 213.346000 | 459.796800 | 304.2769 | 155.519900 |
| Beverages and tobacco products | 1341.057000 | 1000.000000 | 341.057000 | 567.192600 | 435.193600 | 131.999000 | 432.205000 | 326.6864 | 105.518600 |
| Textiles | 1319.677600 | 1000.000000 | 319.677600 | 472.688700 | 340.479900 | 132.208800 | 526.667600 | 442.7707 | 83.896900 |
| Wearing apparel and fur products | 1206.644800 | 1000.000000 | 206.644800 | 504.221000 | 418.077100 | 86.143900 | 495.293200 | 441.7712 | 53.522000 |
Preview shows 10 rows and 10 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Coefficient | Text | No |
| (Output) Total | Numeric | No |
| (Output) Direct | Numeric | Yes |
| (Output) Indirect | Numeric | No |
| (Value Added) Total | Numeric | No |
| (Value Added) Direct | Numeric | No |
| (Value Added) Indirect | Numeric | No |
| (Imports) Total | Numeric | No |
| (Imports) Direct | Text | No |
| (Imports) Indirect | Numeric | No |