ACRA Information on Corporate Entities

This is a more detailed version of the UEN dataset here (https://data.gov.sg/dataset/entities-with-unique-entity-number). It is updated monthly, and there is additional information such as paid up capital and auditor.

Registered Entities with Unique Entity Number

The Unique Entity Number (UEN) is a standard identification number for entities, ranging from businesses and partnerships to charities and societies, to interact with government agencies. This dataset comprises data on entities that are registered in Singapore with any of the UEN Issuance Agencies listed below: * Accounting and Corporate Regulatory Authority (ACRA) * Attorney-General's Chambers (AGC) * IE Singapore * Islamic Religious Council of Singapore (MUIS) * Ministry of Culture, Community and Youth (MCCY) * Ministry of Education (MOE) * Ministry of Finance (MOF) * Ministry of Foreign Affairs (MFA) * Ministry of Health (MOH) * Ministry of Communications and Information (MCI) * Ministry of Manpower (MOM) * Ministry of National Development (MND) * Monetary Authority of Singapore (MAS) * People's Association (PA) * Registry of Societies (ROS) * Singapore Land Authority (SLA) For more information, please visit the UEN Website at https://www.uen.gov.sg/ueninternet/faces/pages/admin/aboutUEN.jspx

COVID-19 Weekly Stats

Data on COVID-19 cases

HDB Property Information

HDB property information contains the location of existing HDB blocks, highest floor level, year of completion, type of building and number of HDB flats (breakdown by flat type) per block etc.

PM2.5

Regional hourly PM2.5 value measured in μg/m3

Ultra-violet Index (UVI)

UV Index value averaged over the past hour. Updated every hour between 7 AM and 7 PM everyday.

Realtime Weather Readings across Singapore

NEA provides APIs for readings of temperature, humidity, precipitation and wind conditions at up to one-minute intervals. The data is provided at weather-station level.

Weather Forecast

Weather forecast for next 2 hours, next 24 hours and next 4 days.

HDB Carpark Information

Information about HDB carparks such as operating hours, car park location (in SVY21), type of parking system, etc.

Tourist Attractions

Tourist Attractions in Singapore

Graduate Employment Survey - NTU, NUS, SIT, SMU, SUSS & SUTD

The Graduate Employment Survey (GES) is jointly conducted by NTU, NUS, SMU, SIT (from 2014), SUTD (from 2015) and SUSS (from 2018) annually to survey the employment conditions of graduates about six months after their final examinations. The Ministry of Education (MOE) publishes the results of key employment indicators of the survey to provide prospective students with timely and comparable data to assist them in making informed course decisions. Graduates from NTU, NUS, SMU and SUSS are surveyed in Nov. Due to their different academic calendars, graduates from SUTD and SIT are surveyed in Feb and Mar. 2021 GES: * 5,599 fresh graduates and 114 follow-up graduates from NTU were surveyed and the overall response rates obtained were 75.1% and 78.1% respectively. * 6,897 fresh graduates and 830 follow-up graduates from NUS were surveyed and the overall response rates obtained were 74.6% and 69.4% respectively. * 1,914 fresh graduates and 156 follow-up graduates from SMU were surveyed and the overall response rates obtained were 76.3% and 78.8% respectively. * 511 fresh graduates from SUSS were surveyed and the overall response rate obtained was 81.0%. * 416 full-time and 82 follow-up graduates from SUTD were surveyed and the overall response rates obtained were 82.0% and 78.0% respectively. * 2,006 full-time graduates from SIT were surveyed and the overall response rate obtained was 84.5%. 2020 GES: * 5,755 fresh graduates and 99 follow-up graduates from NTU were surveyed and the overall response rates obtained were 79.1% and 83.8% respectively. * 6,894 fresh graduates and 853 follow-up graduates from NUS were surveyed and the overall response rates obtained were 78.5% and 74.1% respectively. * 1,883 fresh graduates and 145 follow-up graduates from SMU were surveyed and the overall response rates obtained were 78.4% and 77.2% respectively. * 370 fresh graduates from SUSS were surveyed and the overall response rate obtained was 88.6%. * 372 full-time and 62 follow-up graduates from SUTD were surveyed and the overall response rates obtained were 81.2% and 74.2% respectively. * 2,172 full-time graduates from SIT were surveyed and the overall response rate obtained was 86.6%. 2019 GES: * 5,909 fresh graduates and 75 follow-up graduates from NTU were surveyed and the overall response rates obtained were 78.4% and 80.0% respectively. * 6,609 fresh graduates and 870 follow-up graduates from NUS were surveyed and the overall response rates obtained were 77.9% and 74.7% respectively. * 1,842 fresh graduates and 161 follow-up graduates from SMU were surveyed and the overall response rates obtained were 77.0% and 72.7% respectively. * 252 fresh graduates from SUSS were surveyed and the overall response rate obtained was 87.3%. * 431 full-time and 62 follow-up graduates from SUTD were surveyed and the overall response rates obtained were 85.8% and 80.6% respectively. * 1,809 full-time graduates from SIT were surveyed and the overall response rate obtained was 83.3%. 2018 GES: * 5,900 full-time graduates and 28 follow-up graduates from NTU were surveyed and the overall response rates obtained were 75.9% and 96.4% respectively. * 6,699 full-time graduates and 877 follow-up from NUS were surveyed and the overall response rates obtained were 76.3% and 68.4% respectively. * 1,886 full-time graduates and 145 follow-up graduates from SMU were surveyed and the overall response rates obtained were 79.7% and 77.2% respectively. * 168 full-time graduates from SUSS were surveyed and the overall response rate obtained was 91.7%. * 334 full-time graduates and 76 follow-up graduates from SUTD were surveyed and the overall response rate obtained were 85.3% and 84.2% respectively. * 1,707 graduates from SIT were surveyed and the overall response rate obtained was 85.2%. 2017 GES: * 6,042 full-time graduates and 30 follow-up graduates from NTU were surveyed and the overall response rates obtained were 84.3% and 100% respectively. * 6,466 full-time graduates and 825 follow-up from NUS were surveyed and the overall response rate obtained were 80.6% and 72.1% respectively. * 1,779 full-time graduates and 114 follow-up graduates from SMU were surveyed and the overall response rate obtained were 77.6% and 75.4% respectively. * 228 graduates from SUTD were surveyed and the overall response rate obtained was 85.4%. * 1,530 graduates from SIT were surveyed and the overall response rate obtained was 85.6%. 2016 GES: * 5,836 graduates from NTU were surveyed and the overall response rate obtained was 77.0%. * 6,314 graduates from NUS were surveyed and the overall response rate obtained was 80.4%. * 1,803 graduates from SMU were surveyed and the overall response rate obtained was 74.1%. * 246 graduates from SUTD were surveyed and the overall response rate obtained was 83.7%. * 1,230 graduates from SIT were surveyed and the overall response rate obtained was 84.6%. 2015 GES: * 5,774 graduates from NTU were surveyed and the overall response rate obtained was 71.9%. * 6,188 graduates from NUS were surveyed and the overall response rate obtained was 74.8%. * 1,638 graduates from SMU were surveyed and the overall response rate obtained was 76.2%. * 298 graduates from SUTD were surveyed and the overall response rate was 86.2%. * 1,363 graduates from SIT were surveyed and the overall response rate obtained was 78.9%. 2014 GES: 14,868 graduates from NTU, NUS, SIT and SMU were surveyed and the overall response rate obtained was 75%. 2013 GES: 15,365 graduates from NTU, NUS and SMU were surveyed and the overall response rate obtained was 72%. Notes: \* SMU's courses are direct four-yr programmes and graduates could be awarded Cum Laude and above, Merit, High Merit or no awards. The data for SMU's courses is displayed in two categories: (i) overall results for all graduates within the course regardless of the award they attained, and (ii) results for the graduates awarded Cum Laude and above. Should the graduates undertake more than one Degree (e.g. Dual Degree programme), they have been classified based on their first Degree. ^ Data is based on a sample size of fewer than 30 respondents. \** No data is shown due to the small number of graduates and/or low response rates. \# Data on Law, Medical, Pharmacy and Biomedical Sciences & Chinese Medicine graduates are obtained from a follow-up survey on those who graduated one year ago (e.g. for 2018 GES survey, data is obtained from 2017 graduates) after they have completed their one-year practical law course/pupillage/housemanship/first-year residency/practical training. Data on Architecture graduates are obtained from a follow-up survey on those who graduated 3 years ago (e.g. for 2018 GES survey, data is obtained from 2015 graduates) after they have completed their practical training. ^^ Data includes the employment figures of graduates from Bachelor of Engineering (Bioengineering), which was merged into Bachelor of Engineering (Biomedical Engineering) in 2014. \## Data on NTU’s Medicine graduates will be obtained from a follow-up survey on the graduates after they have completed their housemanship/first-year residency. \### Data on SUTD's Bachelor of Science (Architecture and Sustainable Design) graduates will be obtained from a follow-up survey on the graduates after they have completed their practical training. **Disclaimer:** The data published is provided on an “as is” basis without any warranties of any kind.  To the fullest extent permitted by law, MOE does not warrant and hereby disclaims any warranty as to the accuracy, correctness, completeness, reliability or fitness for any particular purpose of such data.  The reader assumes all responsibility and risk for the use of such data.  MOE shall not be liable for any damage or loss of any kind caused as a result (directly or indirectly) of the use of such data, including but not limited to any damage or loss suffered as a result of reliance on the data published.

Singapore Police Force Digital Traffic Red Light Cameras

Digital Traffic Red Light System (DTRLS) consists of SPF wholly owned traffic enforcement cameras deployed at road junctions to deter and detect vehicles from committing the traffic offence of red-running. Implementation approach is in phases.

Master Plan 2019 Subzone Boundary (No Sea)

Indicative polygon of subzone boundary. To facilitate urban planning, the Urban Redevelopment Authority (URA) divides Singapore into regions, planning areas and subzones. The Planning Regions are divided into smaller Planning Areas. Each Planning Area is further divided into smaller subzones which are usually centred around a focal point such as neighbourhood centre or activity node. The Master Plan is a forward looking guiding plan for Singapore's development in the medium term over the next 10 to 15 years and the planning boundaries may not coincide with existing developments for some areas.

HDB Resale Price Index

Tracks the overall price movement of the public residential market. The index is based on quarterly average resale price by date of registration. The index till 3Q2014 was computed using stratification method, while that from 4Q2014 onwards is computed using the stratified hedonic regression method. 1Q2009 is adopted as the new base period with index at 100. The index from 1Q1990 to 3Q2014 are rebased to the new base period at 1Q2009. Indices from 1Q1990 to 3Q2014 are re-scaled using a factor of 100 (new index in 1Q2009) / 138.3 (original index in 1Q2009) multiplied on the original index level to derive the re-based index level for the respective quarters. Due to rounding, there could be some differences in the quarterly price change compared to the RPI series before re-scaling.

Renting Out of Flats 2023

Market rental rates by approval date. The rental should be taken as indicative only as the rental agreed between the flat owners and tenants are dependent on many factors. The rental is based on the declaration by the flat owner. HDB does not verify the accuracy of the data.

Annual Motor Vehicle Population by Vehicle Type

Annual motor vehicle population by vehicle type

Carpark Availability

Get the latest carpark availability in Singapore: - Retrieved every minute - Use the date_time parameter to retrieve the latest carpark availability at that moment in time - Detailed carpark information can be found at https://data.gov.sg/dataset/hdb-carpark-information - Limited to 60 requests per minute per API key

Taxi Availability

For access to real-time taxi availability data. Returns location coordinates of all Taxis that are currently available for hire. Does not include "Hired" or "Busy" Taxis.

IPOS applications API

This dataset contains APIs for the retrieval for the following type of applications: - Patents - Designs - Trademarks

Realtime Weather Readings across Singapore

NEA provides APIs for readings of temperature, humidity, precipitation and wind conditions at up to one-minute intervals. The data is provided at weather-station level.

Traffic Images

Returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints.

Amendment to MP2014 Other Text

Annotation of other texts displayed in the master plan.

Amendment to MP2014 Conservation Area Text

Annotation of Conservation Area Text

URA No of Dwelling Units (current year)

This layer shows the number of Dwelling Units for private residential properties for both occupied and vacant properties.

Amendment to Master Plan 2019 Rail Station layer

Indicative MRT and LRT station outline layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Amendment to Master Plan 2019 Road Graphic layer

Indicative line of road kerb or road divider layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Social Service Agencies

Directory of Voluntary Welfare Organisations

Strengthening Families Programme

Strengthening Families Programme@Family Service Centre (FAM@FSC) and Related Programmes

Amendment to Master Plan 2019 Rail Line layer

Indicative line of MRT, LRT and Railway network layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Master Plan 2019 Planning Area Boundary (No Sea)

Indicative polygon of planning area boundary. To facilitate urban planning, the Urban Redevelopment Authority (URA) divides Singapore into regions, planning areas and subzones. The Planning Regions are divided into smaller Planning Areas. Each Planning Area have a population of about 150,000 and served by a town centre and several neighbourhood commercial/shopping centres. The Master Plan is a forward looking guiding plan for Singapore's development in the medium term over the next 10 to 15 years and the planning boundaries may not coincide with existing developments for some areas.

Amendment to Master Plan 2019 Underground Structure layer

Indicative outline showing selective underground structure and infrastructure layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Amendment to Master Plan 2019 Road Name layer

Annotation of road names layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA’s web site at https://www.ura.gov.sg/.

Amendment to Master Plan 2019 Rail Station Name layer

Annotation of MRT and LRT Station name layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Amendment to Master Plan 2019 Other Line layer

Other line works layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Amendment to MP2014 Rail Station Text

Annotation of MRT and LRT station name.

Amendment to Master Plan 2019 Monument Building layer

Indicative monument building layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA�s web site at https://www.ura.gov.sg/.

Amendment to Master Plan 2019 Monument Number layer

Annotation of Monument Number layer. This layer is extracted from the latest Master Plan 2019 which may be updated from time to time. For the latest Master Plan, please visit URA’s web site at https://www.ura.gov.sg/.