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

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

Data on COVID-19 cases

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.

Data for 1970 and from 1980 onwards refer to Singapore residents (citizens and permanent residents). Data prior to 1980 (except 1970) refer to total population. Data for 1970 and 1980 refer to all residents present in Singapore on Census day. Data from 2000 onwards are based on the register-based approach. Data from 2003 onwards exclude residents who are overseas for a continuous period of 12 months or longer as at the reference period.

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.

Average daily number of trips made islandwide on MRT, LRT, bus & taxi. * Only data from 2001 onwards had been updated when the methodology of estimating taxi ridership was revised in 2003.

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.

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.

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.

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

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.

The residential statistics were compiled from information in caveats lodged at the option stage with the Singapore Land Registry, supplemented with Stamp Duty data from the Inland Revenue Authority of Singapore, as well as data provided by developers for new sales. A caveat is normally lodged by a purchaser to protect his/her interest of a property shortly after the option to purchase is exercised. The prices in 2009-Q1 are used as the base reference price of the index. The indices are compiled based on a Stratified Hedonic Regression method. The value of properties transacted in the past 5 quarters are used as weights. The weights are revised every 3 years. The latest revision was in 2015-Q1. The commercial statistics were compiled from information in caveats lodged at the option stage with the Singapore Land Registry. A caveat is normally lodged by a purchaser to protect his/her interest of a property shortly after the option to purchase is exercised. The prices in 1998-Q4 are used as the base reference price of the index (i.e. the index for 1998-Q4 assumes a value of 100).The indices are compiled based on a Moving Average weight method, whereby the value of properties transacted in the past 12 quarters are used as weights.

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.

The table shows the total amount spent by government on education. The latest figures are preliminary.

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

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.

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

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.

A high-resolution coastal and marine habitat map for Singapore created through pixel-based supervised classification of satellite imagery, bathymetry data, and expert ground knowledge. Due to the size of the data file, it will not render on data.gov.sg. Hence please download the data file onto your computer and view it from your native application.

This dataset contains the representative location of facilities in Parks which are under the purview of the National Parks Board.

This dataset shows the indicative location of rooftop and vertical greenery.

On 2 August 1991, in an effort to control indiscriminate felling of mature trees, two areas in the South Central and Eastern parts of Singapore were gazetted as Tree Conservation Areas [under the Parks and Trees (Preservation of Trees) Order 1991]. The two Tree Conservation Areas (TCAs) were selected based on the extent of greenery and the number of mature trees within the areas that are worth conserving. These mature trees provide the lush verdant and wooded ambience to enhance the beauty of the environment. Some of these trees have taken as long as 50 to 100 years to reach their present size. The gazette requires written permission for proposals to fell any mature tree to be obtained from the Commissioner of Parks & Recreation. Mature trees are defined as trees with girth more than one metre measured half a metre from the ground. This applies to developers as well as owners of private properties and even if no development works are being undertaken. This dataset presents the indicative extent of the two TCAs.

The Heritage Roads scheme was implemented by the Government in 2005 to recognise and protect roads with lush roadside trees and multi-layered vegetation that create "green walls" and "green tunnels" effects along certain roads. The data show the extent of the Heritage Road Green Buffer whereby written approval must be obtained from the Commissioner of Parks & Recreation for the cutting or removal of any tree or plant within the designated Heritage Road Green Buffer. This includes any altering, closing up or removal of any Heritage Road Green Buffer; erecting or placing of any structure or object (whether temporary or permanent) in, above, across or under any Heritage Road Green Buffer; and erecting, constructing or laying within any Heritage Road Green Buffer any fence, retaining wall, foundation, manhole, pipe, cable, mains or any obstruction or structure (whether temporary or permanent).

A high-resolution shoreline typology map for Singapore created through pixel-based supervised classification of satellite imagery, bathymetry data, and expert ground knowledge.

To locate parks in Singapore

This dataset shows the indicative segments of the Park Connector Loop. The Park Connector Loop are islandwide network of linear open spaces around major residential areas, linking up parks and nature sites. An important part of Singapore's transformation into a City in a Garden, the Park Connector Loop brings you through the lush greenery and natural splendour of our island, as well as a wide range of exciting recreational activities.

This dataset provides the indicative locations of the tracks within areas managed by the National Parks Board. Also included are the Park Connector Networks. Where possible, the tracks within parks and nature reserves are connected to the park connector network.

The polygon in this layer represents the indicative Managed Areas of Parks which are currently under the purview of NParks.

This dataset shows the indicative location of lamp post within parkland managed by the National Parks Board.

Car Park Lot Boundaries

Indicative footprints of buildings/structures within NParks managed areas.

Indicative locations of BBQ Pits maintained by NPARKS

Indicative positions for NParks maintained play/fitness equipment.