Dataset collections

Ngee Ann Polytechnic lists post-diploma courses offered from 2017 through 2022 in annual CSV datasets within this Singapore open-data collection. Prospective learners, career counsellors, and continuing education researchers can compare course catalogues year by year. Each file mirrors the academic year naming convention on the portal for skills-upgrading programmes at this autonomous polytechnic. Explore this collection for machine-readable Ngee Ann Polytechnic post-diploma course listings.

Temasek Polytechnic education open data in this collection provides part-time enrolment breakdowns by school, course name, and gender across multiple academic years. Member datasets include annual CSV files from AY2018 through AY2022 plus a combined 2015–2017 release. Lifelong learning researchers and institutional planners can compare part-time pathway uptake without accessing proprietary student records. Figures represent published enrolment counts within stated academic year coverage.

NEA exposes realtime weather open data through APIs for air temperature, rainfall, relative humidity, wind direction, and wind speed across Singapore’s station network. Readings can arrive at up to one-minute intervals at individual weather-station granularity, supporting dashboards, apps, and research needing fresh conditions. The collection bundles five API datasets alongside coverage from December 2016 onward. Developers integrate NEA feeds for outdoor event safety, urban microclimate monitoring, and public information services.

Temasek Polytechnic annual catalogues of part-time courses offered in Singapore, published as multiple CSV files by academic year. Fields include school, course name, MOE and polytechnic course codes, descriptions, and references as described by the institution. Prospective students, education counsellors, and skills-policy researchers can compare part-time pathways across years from 2016 onward in the member datasets. The collection documents continuing education offerings at Temasek Polytechnic.

Housing & Development Board (HDB) open data is the authoritative source for Singapore HDB resale flat prices and transaction records from 1990 onward. Five CSV datasets partition history by whether dates follow approval before March 2012 or registration from March 2012 and later sub-periods. Home buyers, economists, and journalists chart public housing affordability and turnover using monthly updated files through early 2024 in the catalog. The collection underpins much public analysis of Singapore’s largest housing segment.

Ministry of Social and Family Development (MSF) statistics on the Tribunal for the Maintenance of Parents in Singapore. Five CSV datasets cover new applicant age and gender, living arrangements, application and variation counts, and case outcomes from 2011 to 2021. Family law researchers and social policy analysts study how elderly parents use the tribunal when children do not provide adequate support. Open data supports transparency on access to maintenance recourse.

MOM annual tables count foreign workers in Singapore as at 31 December each year, with datasets excluding domestic workers or specific work-permit sectors and a stock-by-pass-type breakdown from 2017 to 2022. Policy researchers can analyse how Employment Pass, S Pass, Work Permit, and other pass categories shape the workforce. Footnotes clarify rounding and the composition of “other work passes.” The collection supports transparent debate on immigration and labour supply.

Ngee Ann Polytechnic publishes annual CSV files on planned intake and cut-off points for its diploma programmes in Singapore. The collection groups separate year releases from 2017, 2019, 2020, 2021, and 2022, each titled Planned Intake and Cut-Off Points for that admission cycle. Prospective students and education counsellors can compare entry benchmarks across cohorts within the 2017–2022 coverage window. Open data supports transparent polytechnic admissions planning without scraping course pages.

Singapore Prison Service publishes annual open data on convicted penal population as at 31 December each year. The collection bundles five CSV series by age group (with a break at 2020), education level, gender, and offence group. Criminal justice researchers and policymakers can study long-run composition of Singapore’s incarcerated population within the published coverage window. Transparent breakdowns support evidence-based discussions on rehabilitation and sentencing trends without identifying individuals.

Singapore Prison Service publishes annual open data on inmates admitted to Drug Rehabilitation Centre (DRC) programmes for treatment and rehabilitation. Multiple CSV files break admissions down by year, age group, education level, and gender where applicable. Researchers and policymakers studying Singapore’s drug rehabilitation pipeline can analyse admission volumes and demographic patterns within the published range. The collection documents correctional health responses separate from general prison capacity statistics.

Ngee Ann Polytechnic publishes annual CSV listings of scholarships and awards available to students from 2019 through 2023 in this collection. Prospective polytechnic applicants, financial-aid counsellors, and education researchers can compare award types year by year. The five member datasets align with Singapore open-data practice for transparent student support catalogues. Explore NP scholarships and awards data for continuing updates on polytechnic financial assistance.

Housing & Development Board (HDB) open data in this collection summarises cumulative completed dwelling units and non-residential properties since 1960. Five annual CSV datasets cover commercial, industrial, shops and recreational facilities, and government or institutional buildings alongside residential completions through the 2022 financial year window. Urban historians and housing economists can trace long-run public housing delivery and ancillary estate infrastructure. Figures are cumulative completions, not annual starts or sales.

Ministry of Education comprehensive school directory for Singapore with general profiles, subjects offered, co-curricular activities (CCAs), MOE programmes, and distinctive programmes. Five CSV members let parents, ed-tech builders, and researchers filter schools by academic and holistic offerings. Annual snapshots circa 2021–2022 support school choice tools and education equity studies. This collection is core Singapore open data for national school transparency.

Ngee Ann Polytechnic curricular open data lists Diploma Plus programmes offered in Singapore for catalogue years 2017 through 2022. Multiple annual CSV datasets (2017, 2019–2022) let users track which plus pathways were published each academic cycle. Students, counsellors, and researchers comparing polytechnic enrichment options can download structured programme listings from Data.gov.sg. Content reflects NP’s published programme tables rather than real-time class timetables.

Ministry of Health (MOH) healthcare capacity statistics in this Singapore open data collection describe health facilities and inpatient beds across acute, psychiatric, community hospital, and residential long-term care settings. Member datasets include Health Facilities and Beds in Inpatient Facilities plus related breakdown CSV files for primary care, dental, and pharmacy facilities. Health systems researchers can compare bed stocks and facility counts using MOH’s published sector taxonomy. Figures are administrative statistics, not patient-level occupancy rates.

Housing & Development Board (HDB) tables from the Sample Household Survey (SHS) on gender composition of HDB resident populations. CSV datasets break results by ethnic group and flat type, including residents aged 15 and above where noted. The five-year SHS design underpins demographic profiles of citizens and permanent residents in public housing from 2008–2018. Social researchers use the collection to study household structure without full census microdata. It anchors open HDB statistics on resident gender patterns across housing segments.

Elections Department open data documents Singapore parliamentary general election results from 1955 through 2020, including candidate-level outcomes, election dates, registered electors, rejected votes, and spoilt ballots, plus a list of political parties. Official metadata explains SMC and GRC structures and defines rejected versus spoilt ballot papers under Singapore election law. Historians, journalists, and civic educators use the CSV datasets to analyse turnout, party competition, and electoral geography over decades. ELD links provide fuller context on how parliamentary elections are administered.

Ministry of Finance (MOF) open data on Singapore’s government budget, operating revenue, expenditure by type, fiscal position, and manpower. Four CSV member datasets span financial years from 1997 through FY2024, with footnotes warning on reclassification and rounding. Economists and journalists use the collection for macro-fiscal analysis aligned to the April–March financial year. It supports transparent tracking of revenue and spending aggregates without parsing full Budget books. The collection is a cornerstone MOF release on Singapore’s data portal.

MOE annual statistics on the number of schools in Singapore by level and type, split across primary, secondary, pre-university, and mixed-level institutions. CSV member datasets cover each segment, including how mixed-level schools are classified by their secondary section per MOE notes. Education planners and researchers study institutional landscape changes from 1999 onward in the published coverage. The collection supports analysis of Singapore’s public, government-aided, and independent school sectors.

Housing & Development Board (HDB) derives household size statistics from the Sample Household Survey (SHS), conducted every five years for Singapore public housing residents. Four CSV datasets break averages, medians, and distributions by ethnic group and flat type. Planners studying crowding, demographics, and HDB flat mix can apply the household–dwelling unit definition noted in official metadata. Coverage runs from 2008 through 2018 across the bundled files.

Ngee Ann Polytechnic (NAP) lists skills-based modular courses in this Singapore open data collection for continuing education and workforce upskilling. Annual CSV releases from 2017 through 2020 mirror the catalogue’s course listings for each academic year. Training providers, career counsellors, and lifelong learning researchers can compare modular offerings over time. Course details follow NAP’s published descriptions in the member datasets.

Majlis Ugama Islam Singapura (MUIS) publishes Muslim prayer timetables for Singapore as open CSV data for worshippers and app developers. Member datasets include a consolidated timetable plus annual files for 2024, 2025, and 2026 covering daily prayer times across the Islamic calendar. Communities scheduling mosques, schools, and workplace breaks can import machine-readable times instead of PDF tables. The collection supports accurate local prayer time services islandwide.

Ministry of Education (MOE) tracks the share of PSLE students scoring A* to C in Standard English, Mother Tongue, Mathematics, and Science from 1997 through 2020 across four CSV datasets. Official notes explain exclusions for EM3 and Foundation-level candidatures after subject-based banding reforms. Education researchers analysing primary outcomes and equity across subjects can use this collection for longitudinal comparisons. It supports open-data exploration of Singapore PSLE attainment by individual standard subject.

Info-communications Media Development Authority (IMDA) manpower surveys underpin this collection on infocomm employment in Singapore from 2000 through 2017. CSV datasets break the workforce down by discipline of study, gender, highest qualification, and residential status, following the official definition of infocomm workers engaged in ICT or telecom roles. HR analysts and education planners can study talent pipelines using stratified establishment samples aligned to SSIC. Methodology notes in the official description explain sampling from the Department of Statistics establishment frame.