A Singapore Government Agency Website

How to identify

Official website links end with .gov.sg

Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.

Scam alert

Government officers will never ask you to send money or share your details over the phone. When unsure, hang up and call Scamshield at 1799.

Sign up here for higher rate limits, priority support and maintenance notifications. Rate limits will be enforced on 31 December 2025.

‌

Economy

Average Monthly Household Expenditure Among Resident Households By Type Of Goods And Services, Quinquennial

Data from Jan 1993 to Dec 2023

Last updated: 09 Dec 2025, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 28/11/2024

Update Frequency: Quinquennial

Footnotes: Expenditure data include imputed rental of owner-occupied accommodation. Data for 1992/93 exclude 1-person households.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M212981

Sample OpenAPI query

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_7a24e1f85969c45ad68a89f7acf4e7a8"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Average Monthly Household Expenditure Among Resident Households By Type Of Goods And Services, Quinquennial (2025) [Dataset]. data.gov.sg. Retrieved December 25, 2025 from https://data.gov.sg/datasets/d_7a24e1f85969c45ad68a89f7acf4e7a8/view

About this dataset

Contact

feedback@data.gov.sg

Created on

22 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)

‌

Economy

Average Monthly Household Expenditure Among Resident Households By Type Of Goods And Services, Quinquennial

Data from Jan 1993 to Dec 2023

Last updated: 09 Dec 2025, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 28/11/2024

Update Frequency: Quinquennial

Footnotes: Expenditure data include imputed rental of owner-occupied accommodation. Data for 1992/93 exclude 1-person households.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M212981

‌

Data explorer

AverageMonthlyHouseholdExpenditureAmongResidentHouseholdsByTypeOfGoodsAndServicesQuinquennial.csv (17 rows, 1.5 KB)

Data Series Text	2023 Numeric	2018 Numeric	2013 Numeric	2008 Numeric	2003 Numeric	1998 Numeric	1993 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%
Total	7118.7	6160.8	5815.3	4432.5	3797.8	3627.6	3033.4
Food And Food Serving Services	1421.7	1203.9	1197.4	956.3	806.1	862.2	800.4
Food And Non-Alcoholic Beverages	455.9	394	433.3	364.6	340.5	380.5	396.3
Food And Beverage Serving Services	965.7	809.9	764.1	591.7	465.6	481.7	404.1
Clothing And Footwear	119.6	122.9	155.6	143.1	127	139.7	177.2
Housing And Related Expenditure	2122.1	1703.1	1730.3	1165.7	916.5	875.3	712.4
Housing And Utilities	1737.5	1425.6	1473.6	983.6	704.1	659.1	531.2
Imputed Rental Of Owner-Occupied Accommodation	1187.7	998	1046.8	623.6	445.9	451.9	371.8
Furnishing, Household Equipment And Routine Household Maintenance	384.6	277.5	256.7	182.1	212.5	216.2	181.1
Health	473.5	320.1	253	211.4	163.5	121.6	88.9

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Dollar	-
2023	2023	Numeric	Dollar	-
2018	2018	Numeric	Dollar	-
2013	2013	Numeric	Dollar	-
2008	2008	Numeric	Dollar	-
2003	2003	Numeric	Dollar	-
1998	1998	Numeric	Dollar	-
1993	1993	Numeric	Dollar	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_7a24e1f85969c45ad68a89f7acf4e7a8
2. Click on the button below