Dataset collections

Infocomm Media Development Authority (IMDA) household survey data on online shopping among Singapore residents. CSV datasets include overall Online Shoppers, breakdowns by age group, and by value of purchase from the Annual Survey on Infocomm Usage in Households. Digital economy researchers track e-commerce adoption trends from 2002 through the years published on data.gov.sg. Methodology notes describe face-to-face interviews with nationally representative household samples.

Elections Department (ELD) publishes this ad-hoc collection on Singapore parliamentary by-elections, covering results from 1957 through 2016. CSV datasets include by-election dates, candidate-level vote counts, and registered electors together with rejected votes and spoilt ballots. Researchers studying electoral geography, SMC and GRC contests, and turnout quality can align figures with ELD definitions for rejected and spoilt papers. The official notes link party listings and broader parliamentary election guidance on data.gov.sg and eld.gov.sg for context beyond headline winners.

Ministry of Health (MOH) provides age-standardised mortality rates for major causes of death in Singapore: ischaemic heart disease, stroke, and cancer. Three CSV datasets split the indicators by condition for longitudinal public-health analysis. Epidemiologists and health planners can compare disease burdens on a consistent age-adjusted basis. This collection is a core Singapore open-data resource for mortality trends and non-communicable disease monitoring.

Economic Development Board (EDB) quarterly statistics in this collection capture manufacturing-sector business expectations for the next three and six months relative to the prior three months. Three CSV datasets break views down by total manufacturing, manufacturing clusters, and sub-clusters for analysts tracking industrial sentiment. Coverage in the catalogue runs through September 2019, supporting retrospective comparison with production and export indicators. Researchers should treat expectations as survey-based forward-looking indicators, not realised output.

Building and Construction Authority (BCA) publication of building energy performance declarations submitted through the Building Energy Submission System (BESS). Listing datasets for 2019, 2020, and commercial buildings in CSV and XLSX formats support benchmarking and green building policy in Singapore. Facilities managers and researchers analyse owner-reported consumption under mandatory submission rules, noting data may be revised. The collection advances transparency on operational energy use in the built environment.

IRAS publishes annual property tax statistics split by HDB, private residential, commercial, industrial, and other property types from FY2002 to FY2024. Three CSV datasets cover overall assessments and medians by broad type, HDB flat types, and private residential categories. Homeowners, real-estate researchers, and fiscal analysts can relate annual values and tax collected to housing market segments in Singapore. This collection supports transparent exploration of IRAS property tax and annual value trends on the national data portal.

IMDA telecom quality open data in this collection tracks average 3G public cellular call success rates across all cells from 2007 through 2016. Multiple CSV releases—Call Success Rate 2007–2008, 2009–2011, and 2013–2016—let analysts stitch a longitudinal view of mobile network reliability before 4G and 5G dominance. Regulators and consumer advocates can benchmark operator performance using consistent success-rate definitions. Monthly frequency in the catalogue reflects IMDA’s historical reporting cadence for the covered years.

Elections Department (ELD) curates historical presidential election statistics for Singapore, including results, election dates, and elector turnout details with rejected and spoilt ballots. Three CSV datasets let researchers reconstruct contests from the first poll in 1993 through the published coverage window. Political scientists, journalists, and civic educators can analyse vote shares and administrative counts using official definitions for rejected and spoilt papers. This collection links open data to ELD’s broader presidential election reference materials online.

CPF Board’s annual open data summarises retirement-related cash flows for Singapore members from 2006 through 2022. Three CSV files cover monthly payouts under the Retirement Sum Scheme and CPF LIFE, plus net withdrawals for members aged 55 and above. Pension researchers can compare legacy RSS payouts with LIFE annuity-style benefits. Figures round to the nearest hundred thousand dollars as stated in official metadata.

Intellectual Property Office of Singapore (IPOS) design filing analytics appear in this collection with separate CSV files for totals, classifications, and applicant countries. Datasets include Designs filed in Singapore (Total vs Foreign vs Local Filing Numbers), Designs filed in Singapore by Classification, and Designs filed in Singapore by Country of Applicant. Innovation economists and IP researchers can study how foreign versus local applicants use Singapore’s designs registry. Statistics follow IPOS administrative filings, not enforcement or grant outcomes.

Economic Development Board (EDB) releases monthly Index of Industrial Production (IIP) series with 2015=100 for Singapore manufacturing, classified by SSIC 2015 clusters and sub-clusters. Three CSV datasets cover headline IIP, cluster breakdowns, and sub-cluster detail for production analytics. Economists tracking factory output and trade-sensitive sectors can align with EDB’s official industrial classification. Use this EDB collection for Singapore manufacturing IIP open data by cluster.

Central Provident Fund Board open data documents how Singapore’s mandatory retirement savings scheme is calibrated over time. CSV datasets cover CPF contribution rates, allocation splits across age bands and account types, and the ordinary wage ceiling. Employers, payroll teams, and researchers tracing policy changes from 1955 through 2023 can compare historical tables without manual transcription. The ad-hoc collection supports compliance modelling and longitudinal studies of CPF parameters.

Singapore Tourism Board (STB) visitor statistics in this collection report international arrivals to Singapore from 1978 through November 2015 at monthly granularity. Three CSV datasets provide totals, country splits, and regional splits for tourism economists and aviation demand modelling. Analysts can align monthly arrival shocks with marketing campaigns and regional source markets. Long series supports structural breaks research though later months may be published in successor collections.

HDB annual datasets describe completion status for residential developments, commercial projects, and residential units broken down by town or estate from 2007–08 to 2021–22. Housing analysts can see how Singapore’s public housing pipeline converts planned projects into completed stock over time. Three CSV files let users focus on commercial, residential aggregate, or town-level residential detail. The collection pairs with demand and grant statistics on the HDB open-data theme.

Singapore Prison Service statistics on convicted inmates admitted to penal institutions each year. Member datasets slice admissions by age group, education level, and offence group, supporting criminology and social policy research on who enters Singapore’s correctional system. The CSV files help compare demographic and offence profiles across years without sensitive case detail. Coverage runs from 2006 through 2022, offering a longitudinal view of penal admissions in Singapore open data.

Ministry of Education (MOE) aggregates school enrolment statistics across primary, secondary, and pre-university levels in Singapore. Three CSV datasets—Primary Schools, Secondary Schools, and Pre-University—form this collection for education planners and researchers. Analysts studying cohort sizes, school system capacity, and level-specific trends can compare files within one portal entry. Explore MOE open data on students in schools for sector-wide enrolment insights.

Ministry of Education (MOE) tracks intake, enrolment, and graduates across Singapore’s schools, polytechnics, universities, and ITE through three CSV datasets. Researchers comparing pipeline metrics by institution can follow detailed footnotes on degree scope, NIE reporting, and publicly funded arts degrees. Education policy analysts and workforce planners use this collection for long-run tertiary and vocational statistics. Explore MOE open data on institutional intake, enrolment, and graduation flows.

National Environment Agency (NEA) real-time weather forecast APIs for Singapore covering the next two hours, twenty-four hours, and four days. Member datasets 2-hour Weather Forecast, 24-hour Weather Forecast, and 4-day Weather Forecast power mobile apps, event planning tools, and climate communication dashboards. Developers integrate NEA meteorological outputs with rainfall and lightning collections on data.gov.sg for holistic severe weather awareness. Forecast horizons match NEA public weather services.

Info-communications Media Development Authority (IMDA) digital inclusion statistics in this collection track household computer access in Singapore from 1999 through 2014. Three annual CSV datasets report overall access, breakdowns by housing type, and by number of computers at home. Researchers studying the digital divide and early home ICT adoption can compare trends before smartphone-centric surveys dominated connectivity metrics. Figures measure reported access levels rather than device specifications or broadband speeds.

Housing & Development Board (HDB) Sample Household Survey results appear in this Singapore public housing collection. CSV datasets cover HDB Households by Ethnic Group, by Flat Type, and cross-tabulated percentages by flat type and ethnic group—key for studying social mix in Singapore’s estates. Urban sociologists, planners, and journalists writing about HDB demography can download the tables for 2008–2018 coverage. Official metadata explains the household-dwelling unit definition used in the quinquennial survey.

Economic Development Board (EDB) business expectations surveys in this collection capture manufacturing firms’ views on the most important factors limiting export orders over the next three months versus the past three months. Three quarterly CSV datasets cover total manufacturing, clusters, and sub-clusters from 2003 through early 2019. Trade economists and industry analysts can study sentiment drivers before pandemic-era disruptions outside the catalogue window. Responses reflect surveyed expectations, not realised export volumes.

Intellectual Property Office of Singapore (IPOS) statistics in this collection track trademarks filed in Singapore by applicant country and Nice classification from 2013 through 2022. Three annual CSV datasets compare total, foreign, and local filings alongside class and country breakdowns for innovation and trade analysts. Brand strategists and IP researchers can study filing patterns without applicant-level records. Counts reflect applications filed in Singapore, not global portfolio status.

Ministry of Education open data on teachers in schools covers pre-university, primary, and secondary levels across Singapore. Three CSV datasets—Teachers In Schools for each level—let analysts compare staffing counts between school types and over time. Education researchers and journalists studying class-size policy or teacher supply can download structured tables instead of manual Freedom of Information requests. The collection groups level-specific files under one catalog entry for easier discovery on data.gov.sg.

Inland Revenue Authority of Singapore (IRAS) summarises claimants and amounts for reliefs, allowances, and tax set-offs claimed by taxable individuals from Year of Assessment (YA) 2004 onward. Three CSV datasets split reliefs by type, combined reliefs and allowances, and tax set-offs for policy analysts studying Singapore personal income tax support measures. Figures are stated as at 31 March following each YA on a preceding-year income basis. Explore this IRAS collection for open data on individual tax reliefs and rebates.