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Last updated: 25 May 2025, 22:00 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 27/03/2024
Update Frequency: Annual
Survey period: Supply, Use and Input-Output Tables 2021
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17929
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% 4304.61.7% 992.50.9% 86.9340.9% | (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% 22.6% 382.50.9% 6.76420.9% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% |
Agriculture and nursery products | 193.5507 | 32.6443 | 1.6121 | 31.863 | 40.2627 | 3.5075 | 1083.555 | 4.0169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11.6238 | 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 | 40.7014 | 0 | 0 | 0 | 18.3823 | 12.4783 | 16.1696 | 0.228 | 0.2844 | 0.2415 | 0 | 0 | 0.0541 | 0 | 0 | 0.2108 | 0.1993 | 108.3733 | 493.9106 | 0 | 0 | 0 | 0.927 | 0 | 0 | 0 | 0 | 6.5968 | 0.0084 | 0 | 0 | 0 | 0 | 0.0343 | 0.0113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0285 | 0.0043 | 0 | 0 | 0 | 51.4389 | 0 | 0 | 3.8731 | 1.6649 | 0 | 6.6746 | 1.2212 | 3.6263 | 0 | 0.0174 | 10.5511 | 0 | 2556.9411 | 0 | 73.8658 | -223.4087 | 2935.5658 | 2180.5478 | 5342.964 | 7523.5118 |
Livestock | 0 | 0 | 0 | 219.8887 | 0.0298 | 0 | 55.9345 | 0 | 0 | 0 | 52.3321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6888 | 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 | 212.9444 | 0 | 0 | 0 | 0.2202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.1839 | 0 | 0 | 0 | 0 | 0.0123 | 0.0019 | 0 | 0 | 0 | 0 | 0 | 0 | 10.6429 | 0 | 0 | 0.6067 | 0.1103 | 1.8745 | 0 | 0.006 | 3.8825 | 0 | 506.1481 | 0 | 4.3135 | 2.0937 | 92.2554 | 560.3594 | 604.8107 | 1165.1701 |
Fishing and aquaculture | 0 | 0 | 48.6804 | 35.2022 | 0 | 0 | 5.5163 | 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 | 25.6392 | 0 | 0 | 1.364 | 0 | 0 | 0 | 24.652 | 235.1852 | 0 | 0 | 0 | 0.0832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.0009 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0079 | 0 | 0 | 0.2822 | 0.5206 | 0.8987 | 0 | 0.0019 | 1.2038 | 0 | 698.341 | 0 | 22.4217 | 5.3517 | 148.482 | 379.2448 | 874.5964 | 1253.8413 |
Food preparations | 0 | 0 | 0 | 482.5232 | 1.1032 | 17.9804 | 129.6122 | 1.8998 | 0 | 0 | 0 | 0.0185 | 0 | 0 | 0 | 0 | 0 | 0 | 13.2152 | 3.2574 | 0 | 0 | 0 | 0 | 0.4325 | 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 | 0.0636 | 0 | 0.0027 | 239.8565 | 0 | 0 | 16.9964 | 0 | 0.2869 | 0 | 91.1242 | 1173.4518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.8118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1437 | 0.0226 | 0 | 0 | 0 | 0 | 0 | 0 | 24.2842 | 0 | 4.9612 | 24.8177 | 3.9432 | 1.4626 | 0 | 0 | 23.5275 | 0 | 3765.7671 | 3.647 | 0 | 9.5259 | 799.1099 | 2271.7991 | 4578.05 | 6849.8491 |
Oils and fats | 0 | 0 | 0 | 0.2139 | 209.0098 | 28.8121 | 26.8244 | 0.551 | 0 | 0 | 0 | 0 | 0.2997 | 0 | 0 | 14.6951 | 0 | 2.748 | 9.5059 | 2116.8881 | 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 | 1.6115 | 0 | 0 | 0.0652 | 0 | 0 | 0 | 19.7879 | 60.4869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.6145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0223 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 23.6042 | 0 | 1.0773 | 1.1976 | 0.1903 | 0.1588 | 0 | 0 | 2.5545 | 0 | 250.7806 | 1.141 | 0 | 387.4186 | 3793.8576 | 2522.9232 | 4433.1977 | 6956.1209 |
Dairy products | 0 | 0 | 0 | 0.1893 | 13.2128 | 552.2148 | 476.1152 | 15.0211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.7708 | 10.5807 | 0.5491 | 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 | 0.0022 | 3.9837 | 0 | 0 | 0.2403 | 0 | 0.423 | 0 | 76.7981 | 269.6227 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9.0721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0775 | 0.0148 | 0 | 0 | 0 | 0 | 0 | 0 | 29.4999 | 0 | 4.1812 | 9.296 | 1.477 | 0.6163 | 0 | 0 | 9.9143 | 0 | 960.7109 | 7.375 | 0 | -17.5129 | 2386.6696 | 1529.873 | 3337.2425 | 4867.1155 |
Other food products n.e.c | 0 | 66.5154 | 10.3067 | 45.4052 | 7.2285 | 483.8278 | 1296.1599 | 171.673 | 0 | 0 | 0 | 0.3716 | 0 | 0 | 0 | 0.0247 | 0 | 85.1618 | 309.2427 | 28.5515 | 30.9926 | 0 | 0 | 0 | 0.7136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72.0035 | 0 | 0 | 0 | 0 | 0 | 1.1607 | 0.7899 | 0.3613 | 0 | 0 | 0.0653 | 122.1033 | 0 | 0 | 6.8571 | 0 | 1.8691 | 33.1895 | 107.9343 | 1768.1703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.4553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3629 | 0.0547 | 0 | 0 | 0 | 0 | 0 | 0 | 219.5766 | 0 | 5.8764 | 13.0649 | 2.0759 | 0.8662 | 0 | 0 | 55.7354 | 0 | 5675.6656 | 14.126 | 0 | -99.8634 | 8432.2748 | 4990.7477 | 14022.203 | 19012.9507 |
Beverages and tobacco products | 0 | 0 | 0 | 0.6707 | 0.1925 | 1.5065 | 4.3423 | 297.0202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12.2827 | 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 | 0.0699 | 0.0476 | 1.2973 | 45.8048 | 71.7666 | 0.0056 | 53.6761 | 21.6231 | 0 | 2.9637 | 1.035 | 0.265 | 3.1593 | 66.93 | 495.4783 | 0 | 0.6566 | 0 | 0 | 0 | 2.546 | 0 | 0 | 0 | 0 | 0 | 0 | 7.2811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0894 | 0.0105 | 0 | 0 | 0 | 0 | 0 | 0 | 87.7446 | 0 | 1.9148 | 1.0643 | 0.7733 | 3.8461 | 0 | 0 | 9.0808 | 0 | 3560.215 | 7.114 | 0 | 57.079 | 8832.4046 | 1195.1449 | 12456.8126 | 13651.9576 |
Textiles | 0 | 0.0722 | 0.273 | 0.2421 | 0.1575 | 0.9416 | 1.3169 | 6.1638 | 20.8736 | 85.561 | 0.6084 | 2.3605 | 21.4862 | 1.1449 | 0.2939 | 0.1806 | 6.4502 | 0.2356 | 3.3841 | 8.6211 | 3.7606 | 7.4076 | 0.2079 | 14.9613 | 1.7924 | 15.5781 | 0.0608 | 0.5577 | 0 | 5.1576 | 0.7192 | 1.2655 | 0 | 0.0053 | 6.4952 | 3.0695 | 8.8456 | 0.0489 | 2.0251 | 8.0911 | 2.2444 | 0.0802 | 30.2632 | 0.0321 | 11.4506 | 25.8921 | 1.3973 | 0.157 | 0.3418 | 1.5022 | 29.0428 | 19.821 | 60.9707 | 151.1676 | 15.0698 | 3.5538 | 26.7826 | 2.7712 | 0 | 23.8154 | 0.7907 | 30.634 | 0 | 46.5004 | 0 | 4.4119 | 64.8113 | 23.2898 | 1.0714 | 0 | 0 | 0 | 0 | 0.1825 | 0 | 0 | 0 | 10.6691 | 0 | 0 | 0 | 0 | 3.772 | 2.5521 | 2.5947 | 7.801 | 11.057 | 0.0125 | 0 | 12.0856 | 1.2734 | 0 | 2.1516 | 0 | 0 | 0 | 0 | 31.3888 | 22.6013 | 20.4531 | 26.8635 | 4.0948 | 5.123 | 8.2675 | 3.7051 | 102.7554 | 0 | 813.0319 | 0 | 20.4625 | 0.873 | 1083.496 | 1097.6857 | 1917.8634 | 3015.5491 |
Wearing apparel and fur products | 0.0705 | 0 | 0 | 0.6716 | 0.0002 | 0.6161 | 2.3618 | 0.0769 | 0.5614 | 390.8087 | 0.1637 | 1.8931 | 1.5533 | 0.3644 | 0 | 1.3559 | 0.143 | 0.2288 | 0.2996 | 0.6174 | 6.401 | 1.4226 | 0.1031 | 0.7515 | 0.3843 | 0.8846 | 0 | 0.0104 | 0 | 1.3626 | 0.0274 | 0 | 0 | 0 | 1.8981 | 1.6057 | 0.1258 | 2.1993 | 0.1407 | 1.6278 | 0.7198 | 0.3517 | 0.0811 | 0 | 1.3786 | 0.0761 | 1.8159 | 0.7179 | 6.0401 | 1.6241 | 27.273 | 19.0821 | 2.7594 | 385.3348 | 579.753 | 63.1746 | 16.6607 | 2.6457 | 5.8466 | 16.2665 | 0.3823 | 107.589 | 24.5363 | 3.7945 | 51.7879 | 2.3929 | 3.5614 | 1.2569 | 0.6965 | 0 | 0.0234 | 0 | 0 | 0.1044 | 0 | 6.9039 | 0 | 1.7579 | 0 | 0.6813 | 0.2833 | 6.2507 | 2.639 | 0.7147 | 2.5678 | 4.5046 | 0.0992 | 0.0072 | 0 | 0.8124 | 0.8278 | 3.2904 | 0.1398 | 0.8154 | 2.9249 | 0.7852 | 0 | 26.5817 | 49.8549 | 21.5254 | 34.8614 | 6.4029 | 9.1387 | 1.686 | 2.2614 | 31.5976 | 0 | 3196.2173 | 0 | 0 | 134.3586 | 2252.5667 | 1968.3742 | 5583.1426 | 7551.5168 |
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_46c0db643151ff3488b330c12c025daf"
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.
28 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.