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Input-Output Multipliers (Supply, Use and Input-Output Tables 2021)

What this data shows

Published by Singapore Department of Statistics. 107 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 2021 Supply, Use and Input-Output Tables. Economists model sectoral spillover effects in Singapore. Adapted from SingStat TableBuilder CT/17942.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 25/03/2026 Update Frequency: Annual Survey period: Supply, Use and Input-Output Tables 2021 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/17942

Last updated
Rows
107
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 1668.915800 1000.000000 668.915800 434.093700 222.958600 211.135100 562.173000 349.1355 213.037500 154.431500 77.3877
002 Livestock 1588.254000 1000.000000 588.254000 348.118400 134.319900 213.798500 645.380100 465.2755 180.104600 200.637300 122.9704
003 Fishing and aquaculture 1321.690000 1000.000000 321.690000 486.442000 369.849900 116.592100 510.846100 408.0691 102.777000 246.653100 203.6575
004 Food preparations 1412.483400 1000.000000 412.483400 387.410600 254.040800 133.369800 610.736100 464.3821 146.354000 225.972100 167.7561
005 Oils and fats 1584.206100 1000.000000 584.206100 228.738000 88.742100 139.995900 769.097600 529.3475 239.750100 142.823200 87.135
006 Dairy products 1566.571800 1000.000000 566.571800 386.165600 203.837400 182.328200 611.765200 425.0599 186.705300 179.603000 99.9564
007 Other food products n.e.c 1502.241000 1000.000000 502.241000 463.998400 303.274300 160.724100 534.074500 365.4251 168.649400 211.827600 149.0241
008 Beverages and tobacco products 1259.401400 1000.000000 259.401400 640.048000 546.270300 93.777700 358.982000 276.6204 82.361600 127.370300 91.2284
009 Textiles 1311.990600 1000.000000 311.990600 413.205900 298.593900 114.612000 585.071200 497.5401 87.531100 626.630300 578.7169
010 Wearing apparel and fur products 1196.125400 1000.000000 196.125400 196.529600 139.305900 57.223700 802.909700 717.6862 85.223500 108.680500 84.3548

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