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Input-Output Multipliers (Supply, Use and Input-Output Tables 2017)

What this data shows

Published by Singapore Department of Statistics. 105 records. Fields include Coefficient, (Output Multiplier) Total, (Output Multiplier) Direct, (Output Multiplier) Indirect (13 columns in total). Last updated 2026-03-25.

Description

Singapore Department of Statistics CSV of industry output, value-added, and import multipliers (total, direct, and indirect) from the 2017 Supply, Use and Input-Output Tables. Economists model sectoral spillover effects in Singapore. Adapted from SingStat TableBuilder CT/17289.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 25/03/2026 Update Frequency: Annual Survey period: Supply, Use and Input-Output Tables 2017 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/17289

Last updated
Rows
105
Columns
13

Chart

Values are summed where multiple rows share the same category.

Data

Coefficient (Output Multiplier) Total (Output Multiplier) Direct (Output Multiplier) Indirect (Value Added Multiplier) Total (Value Added Multiplier) Direct (Value Added Multiplier) Indirect (Imports Multiplier) Total (Imports Multiplier) Direct (Imports Multiplier) Indirect (Compensation of Employees Multiplier) Total (Compensation of Employees Multiplier) Direct
001 Agriculture and nursery products 1579.013400 1000.000000 579.013400 714.328200 448.556000 265.772200 282.039300 154.6205 127.418800 401.099000 265.2082
002 Livestock 1476.530200 1000.000000 476.530200 645.548800 445.024800 200.524000 350.290200 235.5387 114.751500 246.208900 150.1861
003 Fishing and aquaculture 1434.763600 1000.000000 434.763600 616.056800 449.160400 166.896400 380.386600 260.2194 120.167200 322.713500 244.8621
004 Food preparations 1437.167100 1000.000000 437.167100 456.657900 290.901100 165.756800 542.285300 409.7075 132.577800 250.789300 179.9386
005 Oils and fats 1535.488100 1000.000000 535.488100 362.637800 207.216400 155.421400 636.350400 424.6723 211.678100 128.676700 70.1041
006 Dairy products 1380.291200 1000.000000 380.291200 481.385800 338.597400 142.788400 517.947900 397.0685 120.879400 135.226500 80.4878
007 Other food products n.e.c 1546.034900 1000.000000 546.034900 510.880600 308.668500 202.212100 487.853600 317.3769 170.476700 278.842000 196.7296
008 Beverages and tobacco products 1289.023900 1000.000000 289.023900 588.465000 477.762400 110.702600 410.955800 319.6323 91.323500 126.406500 79.6219
009 Textiles 1255.882200 1000.000000 255.882200 437.278800 335.937000 101.341800 561.342200 482.7037 78.638500 372.174300 324.2826
010 Wearing apparel and fur products 1203.489600 1000.000000 203.489600 519.284100 435.929300 83.354800 480.241200 423.5469 56.694300 304.412600 267.4042

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Coefficient Text No
(Output Multiplier) Total Numeric No
(Output Multiplier) Direct Numeric Yes
(Output Multiplier) Indirect Numeric No
(Value Added Multiplier) Total Numeric No
(Value Added Multiplier) Direct Numeric No
(Value Added Multiplier) Indirect Numeric No
(Imports Multiplier) Total Numeric No
(Imports Multiplier) Direct Text No
(Imports Multiplier) Indirect Numeric No
(Compensation of Employees Multiplier) Total Numeric No
(Compensation of Employees Multiplier) Direct Text No
(Compensation of Employees Multiplier) Indirect Numeric No