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Last updated: 08 Nov 2024, 19:00 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 09/09/2019
Update Frequency: 5 years
Survey period: Household Expenditure Survey 2017/18
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/16633
Dollar Text | Total Text | (Age Group of Main Income Earner (Years)) Below 25 Text | (Age Group of Main Income Earner (Years)) 25 - 29 Text | (Age Group of Main Income Earner (Years)) 30 - 34 Text | (Age Group of Main Income Earner (Years)) 35 - 39 Text | (Age Group of Main Income Earner (Years)) 40 - 44 Text | (Age Group of Main Income Earner (Years)) 45 - 49 Text | (Age Group of Main Income Earner (Years)) 50 - 54 Text | (Age Group of Main Income Earner (Years)) 55 - 59 Text | (Age Group of Main Income Earner (Years)) 60 - 64 Text | (Age Group of Main Income Earner (Years)) 65 & Over Text |
---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)2.8% | (Null)10.8% | (Null)5.7% | (Null)5.1% | (Null)5.7% | (Null)2.8% | (Null)5.1% | (Null)5.1% | (Null)5.7% | (Null)6.8% | (Null)6.3% |
TOTAL | 4906.4 | 4200.8 | 4549.2 | 5228.6 | 5563.1 | 6039.8 | 5733.4 | 5758.5 | 4713.4 | 3822.9 | 2699.2 |
FOOD AND NON-ALCOHOLIC BEVERAGES | 388.7 | 339 | 351.7 | 405.6 | 423.3 | 434.4 | 438.5 | 411.6 | 367.8 | 343 | 315.4 |
FOOD | 361 | 316.4 | 325.6 | 377.1 | 393.7 | 402.7 | 407.1 | 381.1 | 344.3 | 317.2 | 293.1 |
Bread and Cereals | 69.6 | 69.1 | 66.2 | 76.8 | 72.4 | 76.7 | 80.8 | 76.7 | 69.3 | 58.4 | 47.6 |
Meat | 60.3 | 53 | 57.8 | 53.2 | 60.1 | 67.8 | 74.4 | 64.4 | 56.6 | 52.3 | 53.2 |
Fish and Seafood | 57.3 | 52.1 | 53.6 | 53.2 | 54.7 | 59.5 | 61.5 | 59.1 | 58.1 | 56.2 | 58.6 |
Milk, Cheese and Eggs | 42 | 28.5 | 36.3 | 72.2 | 68.5 | 50.7 | 39.5 | 33.5 | 30.1 | 27.2 | 22.2 |
Oils and Fats | 7.7 | 7.2 | 6.7 | 6.5 | 7.2 | 8.2 | 9.5 | 8.4 | 8 | 6.7 | 7.5 |
Fruits | 47.1 | 36.1 | 39.9 | 43.3 | 48.8 | 52.2 | 50.6 | 53.2 | 45.7 | 47.3 | 43.5 |
Vegetables | 49.5 | 44 | 42.6 | 44.1 | 51.7 | 53.8 | 55.9 | 54 | 52 | 45.4 | 44 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Dollar | Dollar | Text | Dollar | - |
Total | Total | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) Below 25 | AgeGroupofMainIncomeEarner_Years_Below25 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 25 - 29 | AgeGroupofMainIncomeEarner_Years_25_29 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 30 - 34 | AgeGroupofMainIncomeEarner_Years_30_34 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 35 - 39 | AgeGroupofMainIncomeEarner_Years_35_39 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 40 - 44 | AgeGroupofMainIncomeEarner_Years_40_44 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 45 - 49 | AgeGroupofMainIncomeEarner_Years_45_49 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 50 - 54 | AgeGroupofMainIncomeEarner_Years_50_54 | Text | Dollar | - |
(Age Group of Main Income Earner (Years)) 55 - 59 | AgeGroupofMainIncomeEarner_Years_55_59 | Text | Dollar | - |
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_a21699b22ed2f2c0374429c5fd638feb"
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.
22 Nov 2023
Free forever for personal or commercial use, under the Open Data Licence.