4,615 datasets found
Energy Market Authority GeoJSON of average monthly household electricity consumption in Singapore in 2013 by URA planning area and dwelling type, measured in kWh. Energy analysts and planners compare residential electricity use across planning areas and housing types for that year.
Energy Market Authority GeoJSON of average monthly household electricity consumption in Singapore for 2012 by URA planning area and dwelling type, in kilowatt-hours, with coverage from July 2014. Energy and housing analysts map how consumption varies across regions and HDB versus private dwelling types.
Energy Market Authority GeoJSON of average monthly household electricity consumption in Singapore in 2010 by URA planning area and dwelling type, in kWh. Energy and housing analysts map how electricity use varies across regions and housing types.
Energy Market Authority GeoJSON of average monthly household electricity consumption in 2011 by URA planning area and dwelling type, in kilowatt-hours. Energy planners and housing researchers map historical electricity use across Singapore neighbourhoods and dwelling categories for demand benchmarking.
Energy Market Authority GeoJSON of average monthly household electricity consumption in Singapore in 2009 by URA region and dwelling type, reported in kWh. Energy analysts compare residential electricity use across regions and housing types for that year; the official blurb also references planning-area breakdowns.
Energy Market Authority GeoJSON of average monthly household electricity consumption in Singapore by URA planning area and dwelling type for 2011, in kilowatt-hours. Energy and housing analysts map consumption patterns across planning areas and flat or landed dwelling types.
GeoJSON layer from the Energy Market Authority mapping average monthly household electricity consumption in Singapore for 2010, measured in kilowatt-hours and broken down by URA planning area and dwelling type. Consumption values are attached to planning area geometries, so the data can be mapped as a choropleth or joined with housing and demographic statistics. Paired with the equivalent 2009 layer, it supports year-on-year comparison of residential electricity use across HDB flat types and private housing, informing energy efficiency research and demand analysis at the neighbourhood level.
GeoJSON layer from the Energy Market Authority mapping average monthly household electricity consumption in Singapore for 2009, measured in kilowatt-hours and broken down by URA planning area and dwelling type. Because consumption values are attached to planning area geometries, the dataset can be rendered directly as a choropleth map or joined to population, income and housing statistics. Energy analysts and researchers use it as a baseline year for studying how household electricity use varies between HDB flat types and private housing across different parts of the island.
Energy Market Authority GeoJSON of average monthly household electricity consumption in Singapore by URA planning area and dwelling type for 2012, in kilowatt-hours. Complements the 2011 release for year-on-year planning-area and dwelling-type energy comparisons.
Annual percentage of the Primary 1 cohort eligible for secondary school in Singapore, sourced from the Ministry of Education and disseminated by the Singapore Department of Statistics in CSV format from 2014 through 2024. The indicator supports education pathway monitoring, equity analysis of progression rates, and long-run schooling access research aligned with MOE cohort tracking.
Housing & Development Board GeoJSON of existing HDB buildings across Singapore. Urban planners, property analysts, and GIS developers map public-housing building footprints and overlay them with town, transport, and amenity layers. Coverage reflects the November 2025 release.
Housing & Development Board GeoJSON of HDB car park outlines across Singapore, with coverage dated 4 November 2025. Mobility planners, town councils, and GIS developers map multi-storey and surface car park footprints alongside estates, roads, and availability layers.
Housing & Development Board GeoJSON layer showing the footprints of HDB buildings that are under construction in Singapore. Because it marks blocks still being built rather than completed ones, the layer gives a forward-looking view of where new public housing supply is coming on stream — useful for tracking Build-To-Order project progress, anticipating population growth in a precinct, and planning schools, transport, and amenities around it. GIS users overlay it with existing HDB blocks, Master Plan zoning, and MRT lines, or use it to flag construction activity near a site of interest.
Housing & Development Board GeoJSON layer marking HDB buildings that have been closed and are fully vacant. Blocks reach this state ahead of demolition, redevelopment, or upgrading under programmes such as the Selective En bloc Redevelopment Scheme, so the layer shows where public housing stock is leaving service. Planners and researchers use it to trace estate renewal, exclude decommissioned blocks from address and population datasets, and study land being freed for future development. It overlays naturally with existing HDB blocks, under-construction buildings, and Master Plan land-use zoning.
Housing & Development Board GeoJSON of line features representing building details in Singapore’s HDB estates, with source coverage dated 4 November 2025. The layer provides cartographic geometry for public-housing building outlines or related linear elements rather than household-level information. Architects, estate planners, mapping developers, and GIS analysts can combine it with HDB building polygons, roads, parcels, and amenities for detailed estate maps and spatial analysis.
Urban Redevelopment Authority GeoJSON of government land sales sites awarded from 1967 onward, with boundaries reflecting tender award conditions. Property researchers and GIS users map URA sale site history, urban development pipelines, and state land disposal patterns across Singapore.
PUB, Singapore’s national water agency, CSV of drinking water quality parameters from 2023 through 2025, with year, parameter name, units, average value, and range. Water-quality and public-health users monitor how tap-water indicators perform against reported averages and ranges.
Monthly averages of water temperature, air temperature, air pressure, relative humidity, solar irradiance, and wind speed recorded by Marine Environmental Sensing Network buoys at St John's Island, Raffles Lighthouse, and Pulau Ubin. MESN is the ocean monitoring arm of the St John's Island National Marine Laboratory, and it also collects a range of seawater parameters relevant to biogeochemical and oceanographic processes and to climate-change research. The spreadsheet is updated twice a year, in June and December. Marine scientists, climate researchers, and students use it to track sea temperature and coastal weather conditions in Singapore's southern waters.
Catalogue of Institute of Technical Education courses from 2014 through 2026, listing course type and name by year in CSV. Prospective students, education researchers, and workforce planners can browse ITE programme offerings and track how the vocational catalogue evolves over time.
Course fees for part-time Higher Nitec programmes offered by the Institute of Technical Education in Singapore, covering 2013 through 2026. The CSV carries year, module type, participant category, and fee per module, so users can compare what Singapore citizens, permanent residents, and other participant groups pay for different module types. Prospective students, employers sponsoring staff training, and education researchers use it to plan upskilling budgets and to track how continuing-education fees have changed over more than a decade.