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Last updated: 27 Oct 2024, 23:23 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 29/07/2019
Update Frequency: 5 years
Survey period: Household Expenditure Survey 2012/13
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/16438
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)2.3% | (Null)10.2% | (Null)7.4% | (Null)3.4% | (Null)6.8% | (Null)5.1% | (Null)4.5% | (Null)1.1% | (Null)5.7% | (Null)8.0% | (Null)8.0% |
TOTAL | 4724.5 | 3848.6 | 4752.5 | 5126 | 5455.9 | 5388.7 | 5267.3 | 4927.1 | 4589.8 | 3760 | 2277.7 |
FOOD AND NON-ALCOHOLIC BEVERAGES | 423.8 | 371.9 | 418.5 | 456.1 | 463.3 | 462.1 | 468.3 | 411.4 | 407.3 | 372.6 | 301.8 |
FOOD | 395.1 | 345.1 | 387.8 | 428.3 | 434.9 | 430.2 | 434.4 | 380.4 | 381.6 | 348.5 | 281.6 |
Bread and Cereals | 78.2 | 81.4 | 80.1 | 81.6 | 87.8 | 86.9 | 89.6 | 78.6 | 70 | 62.3 | 46.1 |
Meat | 66.3 | 60.4 | 63.2 | 66.4 | 65.2 | 70.1 | 75.7 | 65.6 | 70.1 | 64.8 | 52 |
Fish and Seafood | 64.3 | 56 | 63.2 | 59.8 | 60.5 | 65.2 | 70.4 | 64.5 | 71.9 | 68.8 | 57.7 |
Milk, Cheese and Eggs | 49.4 | 31.3 | 52.7 | 82.7 | 80.9 | 60.2 | 42.9 | 31.6 | 32.3 | 26.8 | 20.1 |
Oils and Fats | 8.9 | 8.6 | 8.1 | 9.4 | 8.8 | 10 | 10.1 | 9.1 | 8.9 | 7.7 | 6.7 |
Fruits | 44.4 | 34.4 | 40.1 | 42.2 | 44.7 | 45.2 | 50.4 | 46.3 | 47.9 | 44.3 | 38.2 |
Vegetables | 51.2 | 44.9 | 46.5 | 53.1 | 52.1 | 55.6 | 56.4 | 52 | 51.3 | 47.9 | 41.6 |
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_1db7fc61182711ea8e2f125e9dd2c014"
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.