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Last updated: 24 May 2025, 22:01 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 21/03/2023
Update Frequency: Annual
Survey period: Supply, Use and Input-Output Tables 2019
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17833
Million Dollars Text | (Purchases by Industry) Agriculture and nursery products Numeric | (Purchases by Industry) Livestock Numeric | (Purchases by Industry) Fishing and aquaculture Numeric | (Purchases by Industry) Food preparations Numeric | (Purchases by Industry) Oils and fats Numeric | (Purchases by Industry) Dairy products Numeric | (Purchases by Industry) Other food products n.e.c Numeric | (Purchases by Industry) Beverages and tobacco products Numeric | (Purchases by Industry) Textiles Numeric | (Purchases by Industry) Wearing apparel and fur products Numeric | (Purchases by Industry) Footwear and leather products Numeric | (Purchases by Industry) Wood and wooden products (except furniture) Numeric | (Purchases by Industry) Paper and paper products Numeric | (Purchases by Industry) Printing and reproduction of recorded media Numeric | (Purchases by Industry) Petroleum products Numeric | (Purchases by Industry) Basic chemicals and chemical products Numeric | (Purchases by Industry) Petrochemicals and petrochemical products Numeric | (Purchases by Industry) Paints and related products Numeric | (Purchases by Industry) Detergents, perfumes, cleaning and toilet preparations Numeric | (Purchases by Industry) Other chemical products Numeric | (Purchases by Industry) Pharmaceuticals and biological products Numeric | (Purchases by Industry) Rubber and plastic products Numeric | (Purchases by Industry) Other non-metallic mineral products Numeric | (Purchases by Industry) Basic metals Numeric | (Purchases by Industry) Fabricated metal products (except machinery and equipment) Numeric | (Purchases by Industry) Semiconductor devices, electronic components and boards Numeric | (Purchases by Industry) Computers and peripheral equipment Numeric | (Purchases by Industry) Communications equipment Numeric | (Purchases by Industry) Consumer electronics Numeric | (Purchases by Industry) Scientific, photographic and optical products Numeric | (Purchases by Industry) Electrical industrial apparatus, batteries and accumulators Numeric | (Purchases by Industry) Electric wiring and lighting equipment Numeric | (Purchases by Industry) Domestic appliances Numeric | (Purchases by Industry) Other electrical equipment Numeric | (Purchases by Industry) General and special purpose machinery (except oil rigs) Numeric | (Purchases by Industry) Mining, quarrying and construction equipment Numeric | (Purchases by Industry) Semiconductor related equipment Numeric | (Purchases by Industry) Installation of industrial machinery and equipment Numeric | (Purchases by Industry) Land transport equipment Numeric | (Purchases by Industry) Ships and boats Numeric | (Purchases by Industry) Aircraft and related parts Numeric | (Purchases by Industry) Transport equipment n.e.c Numeric | (Purchases by Industry) Furniture (except of stone) Numeric | (Purchases by Industry) Jewellery and related articles Numeric | (Purchases by Industry) Medical and dental instruments and supplies Numeric | (Purchases by Industry) Other manufacturing Numeric | (Purchases by Industry) Electricity Numeric | (Purchases by Industry) Gas Numeric | (Purchases by Industry) Water and sewerage Numeric | (Purchases by Industry) Waste collection, treatment and disposal services Numeric | (Purchases by Industry) Building construction Numeric | (Purchases by Industry) Civil engineering works Numeric | (Purchases by Industry) Specialised construction services Numeric | (Purchases by Industry) Wholesale trade Numeric | (Purchases by Industry) Retail trade Numeric | (Purchases by Industry) Land transport Numeric | (Purchases by Industry) Water transport Numeric | (Purchases by Industry) Air transport Numeric | (Purchases by Industry) Land transport supporting services Numeric | (Purchases by Industry) Water transport supporting services Numeric | (Purchases by Industry) Air transport supporting services Numeric | (Purchases by Industry) Cargo handling, warehousing and other support services Numeric | (Purchases by Industry) Postal and courier services Numeric | (Purchases by Industry) Accommodation Numeric | (Purchases by Industry) Food and beverage services Numeric | (Purchases by Industry) Publishing Numeric | (Purchases by Industry) Media entertainment Numeric | (Purchases by Industry) Telecommunications Numeric | (Purchases by Industry) Computer programming, consultancy and information services Numeric | (Purchases by Industry) Banking and finance Numeric | (Purchases by Industry) Financial services (except insurance and pension funding) Numeric | (Purchases by Industry) Life insurance and reinsurance Numeric | (Purchases by Industry) General insurance and reinsurance Numeric | (Purchases by Industry) Other auxiliary financial services Numeric | (Purchases by Industry) Security dealing services Numeric | (Purchases by Industry) Pension funding and other auxiliary insurance services Numeric | (Purchases by Industry) Fund management Numeric | (Purchases by Industry) Real estate Numeric | (Purchases by Industry) Ownership of dwellings Numeric | (Purchases by Industry) Legal services Numeric | (Purchases by Industry) Accounting, auditing and tax consultancy services Numeric | (Purchases by Industry) Head offices and business representative offices Numeric | (Purchases by Industry) Consultancy services Numeric | (Purchases by Industry) Architectural and engineering services Numeric | (Purchases by Industry) Research and development Numeric | (Purchases by Industry) Advertising and market research Numeric | (Purchases by Industry) Specialised design services Numeric | (Purchases by Industry) Other professional, scientific and technical services Numeric | (Purchases by Industry) Veterinary services Numeric | (Purchases by Industry) Rental and leasing of tangible assets Numeric | (Purchases by Industry) Rental and leasing of intangible assets Numeric | (Purchases by Industry) Employment and labour contracting Numeric | (Purchases by Industry) Travel agency, tour operator and reservation services Numeric | (Purchases by Industry) Security and investigation services Numeric | (Purchases by Industry) Cleaning and landscape maintenance services Numeric | (Purchases by Industry) Office administrative and support services Numeric | (Purchases by Industry) Exhibitions, conventions and other events Numeric | (Purchases by Industry) Public administration and defence Numeric | (Purchases by Industry) Education Numeric | (Purchases by Industry) Health services Numeric | (Purchases by Industry) Social services Numeric | (Purchases by Industry) Arts and entertainment Numeric | (Purchases by Industry) Recreation and sports Numeric | (Purchases by Industry) Member organisations Numeric | (Purchases by Industry) Repair of computers, personal and household goods and vehicles Numeric | (Purchases by Industry) Other personal services Numeric | (Purchases by Industry) Domestic services Numeric | (Purchases by Final Demand) Household and NPISHs final consumption expenditure Numeric | (Purchases by Final Demand) Government final consumption expenditure Numeric | (Purchases by Final Demand) Gross fixed capital formation Numeric | (Purchases by Final Demand) Changes in inventories Numeric | (Purchases by Final Demand) Exports of goods & services Numeric | (Totals) Total intermediate use at purchasers' prices Numeric | (Totals) Total final use at purchasers' prices Numeric | (Totals) Total use at purchasers' prices Numeric |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% 088.7% 9400.9% 3930.9021.7% 98.2280.9% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% 093.0% 1.72.6% 5.42950.9% 385.20790.9% | (Null)0.0% | (Null)0.0% 080.9% 52648.8892.6% 3.7590.9% 7.0610.9% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% |
Agriculture and nursery products | 74.0799 | 17.0086 | 1.1037 | 26.491 | 26.87 | 1.7586 | 676.6532 | 4.057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7.0096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27.0576 | 0 | 0 | 0 | 14.6267 | 9.2428 | 10.3603 | 0.1455 | 0.0976 | 0.0642 | 0 | 0 | 0.0344 | 0 | 0 | 0.1243 | 0.0167 | 155.5026 | 858.9255 | 0 | 0 | 0 | 1.5202 | 0 | 0 | 0 | 0 | 1.5099 | 4.3948 | 0 | 0.0002 | 0 | 0 | 0.0727 | 0.0038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0245 | 0.0033 | 0 | 0 | 0 | 50.2997 | 0 | 0 | 1.3597 | 1.1131 | 0 | 5.4819 | 1.111 | 3.3345 | 0 | 0.0138 | 6.9847 | 0 | 2361.5586 | 0 | 18.4855 | 292.5771 | 2029.5585 | 1988.4576 | 4702.1796 | 6690.6373 |
Livestock | 0 | 0 | 0 | 186.048 | 0.019 | 0 | 37.7551 | 0 | 0 | 0 | 57.0638 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4262 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 329.8393 | 0 | 0 | 0 | 0.1806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.4995 | 0 | 0 | 0 | 0 | 0.0062 | 0.0008 | 0 | 0 | 0 | 0 | 0 | 0 | 2.1623 | 0 | 0 | 0.4313 | 0.0872 | 1.484 | 0 | 0.0046 | 2.3355 | 0 | 446.3401 | 0 | 3.8045 | -6.4973 | 81.3589 | 624.3435 | 525.0062 | 1149.3496 |
Fishing and aquaculture | 0 | 0 | 22.3494 | 34.6081 | 0 | 0 | 4.3264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.0197 | 0 | 0 | 0.8436 | 0 | 0 | 0 | 37.472 | 223.5918 | 0 | 0 | 0 | 0.0632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0035 | 0.0005 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0052 | 0 | 0 | 0.2331 | 0.5294 | 0.9041 | 0 | 0.0017 | 0.8415 | 0 | 651.0379 | 0 | 13.2572 | -6.5553 | 253.3401 | 341.7929 | 911.08 | 1252.8729 |
Food preparations | 0 | 0 | 0 | 344.5613 | 0.6028 | 7.5227 | 74.743 | 1.6047 | 0 | 0 | 0 | 0.0107 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6117 | 1.7547 | 0 | 0 | 0 | 0 | 0.2454 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0305 | 0 | 0.0227 | 144.8798 | 0 | 0 | 7.851 | 0 | 0.1802 | 0 | 101.8432 | 1149.8636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.6257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0615 | 0.0087 | 0 | 0 | 0 | 0 | 0 | 0 | 19.5403 | 0 | 2.9745 | 15.0723 | 2.2789 | 0.9892 | 0 | 0 | 12.0914 | 0 | 3149.7415 | 0 | 0 | 10.1053 | 591.6313 | 1890.9704 | 3751.4782 | 5642.4486 |
Oils and fats | 0 | 0 | 0 | 0.7995 | 179.2642 | 62.3407 | 79.9969 | 2.4068 | 0 | 0 | 0 | 0 | 1.0388 | 0 | 0 | 39.024 | 0 | 8.9679 | 2.2754 | 1125.391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.6775 | 0 | 0 | 0.1463 | 0 | 0 | 0 | 114.3711 | 218.6601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.2649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0494 | 0.008 | 0 | 0 | 0 | 0 | 0 | 0 | 18.8544 | 0 | 3.3404 | 3.7614 | 0.5687 | 0.5555 | 0 | 0 | 6.7894 | 0 | 289.2673 | 0 | 0 | -135.907 | 2623.1944 | 1872.5524 | 2776.5546 | 4649.107 |
Dairy products | 0 | 0 | 0 | 0.1931 | 10.1854 | 475.3871 | 387.3568 | 17.8985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.6391 | 0.6909 | 0.4173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0216 | 2.7991 | 0 | 0 | 0.1546 | 0 | 0.3635 | 0 | 121.0943 | 265.9011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.1974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0468 | 0.008 | 0 | 0 | 0 | 0 | 0 | 0 | 23.6743 | 0 | 3.5368 | 7.9651 | 1.2043 | 0.5881 | 0 | 0 | 7.1885 | 0 | 788.9564 | 0 | 0 | 36.2125 | 2294.1154 | 1369.5115 | 3119.2844 | 4488.7959 |
Other food products n.e.c | 0 | 36.3797 | 4.0062 | 37.8717 | 4.5574 | 311.3159 | 1045.6216 | 165.0473 | 0 | 0 | 0 | 0.2486 | 0 | 0 | 0 | 0.0147 | 0 | 62.0091 | 16.5161 | 17.7467 | 18.9018 | 0 | 0 | 0 | 0.4929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.2914 | 0 | 0 | 0 | 0 | 0 | 0.8308 | 0.525 | 0.2105 | 0 | 0 | 0.4778 | 66.6934 | 0 | 0 | 3.5987 | 0 | 1.2457 | 2.4418 | 139.1929 | 1742.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4.5846 | 0 | 0 | 0 | 0 | 0 | 0 | 6.4622 | 0 | 0 | 0 | 0 | 0.1791 | 0.0242 | 0 | 0 | 0 | 0 | 0 | 0 | 69.5888 | 0 | 4.0654 | 9.1555 | 1.3843 | 0.676 | 0 | 0 | 33.0516 | 0 | 4283.399 | 0 | 0 | 346.4856 | 8004.53 | 3858.5693 | 12634.4146 | 16492.984 |
Beverages and tobacco products | 0 | 0 | 0 | 0.6241 | 0.1362 | 0.8274 | 2.8532 | 289.2998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9.4587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0569 | 0.036 | 0.8601 | 4.1861 | 24.8914 | 0.0539 | 32.6102 | 9.8416 | 0 | 1.7098 | 0.1914 | 0.2142 | 0.2644 | 121.0881 | 696.5316 | 0 | 0.5999 | 0 | 0 | 0 | 3.3281 | 0 | 0 | 0 | 0 | 0 | 0 | 0.8948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0482 | 0.005 | 0 | 0 | 0 | 0 | 0 | 0 | 36.9728 | 0 | 1.5071 | 0.8485 | 0.6605 | 3.3855 | 0 | 0 | 6.1263 | 0 | 3572.0286 | 0 | 0 | -34.0243 | 9117.853 | 1250.1115 | 12655.8573 | 13905.9687 |
Textiles | 0 | 0.0461 | 0.1353 | 0.2932 | 0.148 | 0.8142 | 1.1304 | 6.7193 | 29.026 | 85.2442 | 1.0507 | 1.8492 | 19.3281 | 1.119 | 0.2448 | 0.1305 | 6.0068 | 0.2413 | 0.7924 | 6.3242 | 2.6719 | 6.5177 | 0.1735 | 11.6556 | 1.5528 | 10.9511 | 0.0933 | 0.5463 | 0 | 3.9643 | 0.7428 | 1.4128 | 0 | 0.0046 | 4.9144 | 4.0553 | 3.5089 | 0.0264 | 1.6993 | 4.5018 | 2.2776 | 0.0488 | 34.4655 | 0.0195 | 9.4357 | 17.0067 | 1.3564 | 0.0695 | 0.7582 | 0.5192 | 24.2013 | 15.3103 | 41.2383 | 77.243 | 5.8726 | 0.9153 | 13.9045 | 3.5594 | 0 | 5.369 | 0.1602 | 15.118 | 0 | 78.873 | 0 | 1.8444 | 18.3047 | 20.4805 | 0.2125 | 0 | 0 | 0 | 0 | 0.0498 | 0 | 0 | 0 | 4.3403 | 0 | 0 | 0 | 0 | 2.1073 | 1.3752 | 0.9927 | 8.7231 | 10.2492 | 0.0135 | 0 | 8.2019 | 0.6896 | 0 | 2.7411 | 0 | 0 | 0 | 0 | 4.4211 | 22.2907 | 14.6751 | 25.522 | 4.0092 | 5.6803 | 11.7356 | 3.6068 | 79.1907 | 0 | 594.1624 | 0 | 13.9259 | -6.0433 | 711.5962 | 818.8157 | 1313.6411 | 2132.4568 |
Wearing apparel and fur products | 0.0168 | 0 | 0 | 0.5196 | 0.02 | 0.4002 | 0.6546 | 0.0839 | 0.3684 | 231.0288 | 0.1911 | 1.364 | 1.3872 | 0.3157 | 0 | 0.2898 | 0.0535 | 0.2966 | 0.18 | 0.6302 | 5.6922 | 1.1237 | 0.0817 | 0.6141 | 0.6061 | 0.6912 | 0 | 0.0334 | 0 | 1.1177 | 0.02 | 0 | 0 | 0.0048 | 1.7946 | 2.0445 | 0.0103 | 0.9028 | 0.1108 | 1.3041 | 0.1513 | 0.1967 | 0.0794 | 0 | 0.8157 | 0.0508 | 1.4151 | 0.4566 | 4.9068 | 0.8145 | 22.3259 | 13.7903 | 10.6962 | 169.6377 | 183.275 | 34.8505 | 7.0553 | 2.385 | 3.548 | 3.4603 | 0.0637 | 51.5005 | 1.9942 | 2.0879 | 45.3665 | 0.7801 | 0.9927 | 0.8471 | 0.1253 | 0 | 0.0126 | 0 | 0 | 0.0217 | 0 | 2.5722 | 0 | 0.3155 | 0 | 0.2621 | 0.165 | 2.0616 | 1.0305 | 0.3254 | 0.6448 | 3.8115 | 0.0859 | 0.0059 | 0 | 0.3629 | 0.4106 | 0.8083 | 0.0245 | 1.3277 | 0.1639 | 0.0854 | 0 | 27.174 | 33.2067 | 14.7536 | 24.1651 | 4.9571 | 11.118 | 0.4727 | 1.927 | 20.0984 | 0 | 4179.0038 | 0 | 0 | 137.9318 | 4483.3636 | 969.9918 | 8800.2993 | 9770.2911 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Million Dollars | MillionDollars | Text | Million Dollars | - |
(Purchases by Industry) Agriculture and nursery products | PurchasesbyIndustry_Agricultureandnurseryproducts | Numeric | Million Dollars | - |
(Purchases by Industry) Livestock | PurchasesbyIndustry_Livestock | Numeric | Million Dollars | - |
(Purchases by Industry) Fishing and aquaculture | PurchasesbyIndustry_Fishingandaquaculture | Numeric | Million Dollars | - |
(Purchases by Industry) Food preparations | PurchasesbyIndustry_Foodpreparations | Numeric | Million Dollars | - |
(Purchases by Industry) Oils and fats | PurchasesbyIndustry_Oilsandfats | Numeric | Million Dollars | - |
(Purchases by Industry) Dairy products | PurchasesbyIndustry_Dairyproducts | Numeric | Million Dollars | - |
(Purchases by Industry) Other food products n.e.c | PurchasesbyIndustry_Otherfoodproductsn_e_c | Numeric | Million Dollars | - |
(Purchases by Industry) Beverages and tobacco products | PurchasesbyIndustry_Beveragesandtobaccoproducts | Numeric | Million Dollars | - |
(Purchases by Industry) Textiles | PurchasesbyIndustry_Textiles | Numeric | Million Dollars | - |
This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.
import requests
dataset_id = "d_0b151f7cacf21f2a2817560a14875986"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
27 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.