This dataset shows the annual population (end June) of Singapore Citizens by Age Group, Ethnic Group And Sex, over the time period of year 1970 to 2022. It excludes the number of Singapore permanent residents (PR).

The original dataset from the source comes in a wide format. This dataset shows the data after it has been transformed to long format.

Source: Singapore Department of Statistics See source URL under Provenance section.

Footnotes Data from 2003 onwards exclude residents who are overseas for a continuous period of 12 months or longer as at the reference period. For more information, please refer to the 'Population Trends' publication (www.singstat.gov.sg/publications/population/population-trends) and the Information Paper on 'Singapore Resident Population, 2003-2007' (www.singstat.gov.sg/-/media/files/publications/population/respop.pdf).

Terms of Use Please see https://www.singstat.gov.sg/terms-of-use .

Use of dataset is subject to the terms of the Singapore Open Data Licence (“ODL”). https://data.gov.sg/open-data-licence

Sample of data viz https://public.tableau.com/views/SingaporeCitizenPopulation/Dashboard1?:language=en-US&:display_count=n&:origin=viz_share_link

Dataset from Sport Singapore. For more information, visit https://data.gov.sg/datasets/d_82b974dc663f13493a8e0e0f51361a67/view

As of June 2025, there were around 3.11 million ethnic Chinese residents in Singapore. Singapore is a multi-ethnic society, with residents categorized into four main racial groups: Chinese, Malay, Indian, and Others. Each resident is assigned a racial category that follows the paternal side. This categorization would have an impact on both official as well as private matters. Modelling a peaceful, multi-ethnic society The racial categorization used in Singapore stemmed from its colonial past and continues to shape its social policies, from public housing quotas along the ethnic composition in the country to education policies pertaining second language, or ‘mother tongue’, instruction. Despite the emphasis on ethnicity and race, Singapore has managed to maintain a peaceful co-existence among its diverse population. Most Singaporeans across ethnic levels view the level of racial and religious harmony there to be moderately high. The level of acceptance and comfort with having people of other ethnicities in their social lives was also relatively high across the different ethnic groups. Are Singaporeans ready to move away from the CMIO model of ethnic classification? In recent times, however, there has been more open discussion on racism and the relevance of the CMIO (Chinese, Malay, Indian, Others) ethnic model for Singaporean society. The global discourse on racism has brought to attention the latent discrimination felt by the minority ethnic groups in Singapore, such as in the workplace. In 2010, Singapore introduced the option of having a ‘double-barreled’ race classification, reflecting the increasingly diverse and complicated ethnic background of its population. More than a decade later, there have been calls to do away from such racial classifications altogether. However, with social identity and policy deeply entrenched along these lines, it would be a challenge to move beyond race in Singapore.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_3cf667d761b4bdc6d4d3d3aeec37dea5/view

Dataset from Sport Singapore. For more information, visit https://data.gov.sg/datasets/d_8873929ba66d131f5d49d85976abb964/view

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.

            Formula 1 - 24 Rounds Complete Data - All GPs 2025

Context

Brazil Grand Prix

The Brazilian Grand Prix, currently held under the name São Paulo Grand Prix, is a Formula One championship race which is currently held at the Autódromo José Carlos Pace in Interlagos neighborhood, Cidade Dutra, São Paulo.

First held: 1972 | Laps: 71 | Most wins (constructors): McLaren (13) | Most wins (drivers): Alain Prost (6) | Number of times held: 53 | Race length: 305.879 km (190.064 miles)

Las Vegas Grand Prix

The Las Vegas Grand Prix is a motor racing event that forms part of the Formula One World Championship, taking place in Paradise, Nevada, in the United States. It is conducted as a night race on a temporary street circuit that includes parts of the Las Vegas Strip. The first race was held on November 18, 2023.

Circuit length: 6.201 km (3.853 miles) | First held: 2023 | Laps: 50 | Most wins (constructors): Red Bull Racing (2) | Most wins (drivers): Max Verstappen (2) | Number of times held: 3

Qatar Grand Prix

The Qatar Grand Prix is a Formula One motor racing event which is held in Qatar. It was held for the first time on 21 November as part of the 2021 championship at the Lusail International Circuit, and after not taking place during the 2022 season due to the 2022 FIFA World Cup taking place in Qatar, it rejoined the calendar in 2023 under a 10-year contract. The race was established as the fourth full-night race (as opposed to day or day-to-night races) on the Formula One calendar, following the Singapore, Bahrain and Sakhir Grands Prix.

First held: 2021 | Laps: 57 | Most wins (constructors): Red Bull Racing (3) | Most wins (drivers): Max Verstappen (3) | Number of times held: 4 | Race length: 308.611 km (191.762 miles)

Abu Dhabi Grand Prix

The Abu Dhabi Grand Prix is a Formula One motor racing event. The first race took place on 1 November 2009, held at the Hermann Tilke-designed Yas Marina Circuit on Yas Island, near Abu Dhabi, the capital of the United Arab Emirates.[1]

The W Abu Dhabi - Yas Island is over the short straight between turn 13 and 14. It was announced in early 2007 at the Abu Dhabi F1 Festival. On 25 June 2008, the FIA announced the provisional 2009 Formula One calendar including the Abu Dhabi Grand Prix as the 19th and final race of the season on 15 November. On 5 November 2008, however, it was announced that the race would be held as the season finale on 1 November, two weeks before the initially planned date, as the 17th and final race.[2] The event has been held every year since, and is due to take place at the Yas Marina Circuit until at least 2030.[3]

First held: 2009 | Laps: 58 | Most wins (constructors): Red Bull Racing (8) | Most wins (drivers): Max Verstappen (5) | Number of times held: 17 | Race length: 306.183 km (190.253 miles)

Content

The dataset consists of all information on the Formula 1 Brazil, Las Vegas, Qatar and Abu Dhabi Grand Prixes 2025, drivers, constructors, qualifying, lap times, and pit stops.

• Time period: Nov - Dec 2025

            All 20 Previous Rounds data are already listed on my profile 🏎️

Acknowledgements

The data is fetched using Fast F1 Package.

Inspiration to Use This Dataset

This dataset captures the decisive final stretch of the 2025 Formula 1 season; Brazil, Las Vegas, Qatar, and Abu Dhabi, where championships are defined and pressure is at its peak. It provides a powerful foundation for analyzing end-season strategy shifts, driver consistency under pressure, and performance trends across diverse circuits.

"Pressure is something you feel when you don’t know what you’re doing." – Mario Andretti

Singapore Marriages Registered By Ethnic Group: UMLA: Inter-ethnic Group data was reported at 108.000 Number in May 2018. This records a decrease from the previous number of 187.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UMLA: Inter-ethnic Group data is updated monthly, averaging 58.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 326.000 Number in Dec 2017 and a record low of 3.000 Number in Sep 1976. Singapore Marriages Registered By Ethnic Group: UMLA: Inter-ethnic Group data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_beb7c464d16acc897b0b160403e11e9b/view

Genomic data obtained from the joint processing and variant calling of 4,810 individuals from Singapore. VCF files are by Chromosome (chr. 1-22 plus X) for all 4,810 individuals. Self-reported ethnicity is found in the "Region" column of metadata file.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_61ef44ab621ed1ef5592be1ab19b48fe/view

This is the underlying research data for master thesis: "Sorry, Locals Only: An Experimental Investigation of the Affective, Behavioural, and Cognitive Consequences of National Identity Denial".

The three datasets contain quantitative measures on identity denial, identity questioning, identity discrepancy, and affective, behavioural, and cognitive outcomes.

The datasets labelled 1A and 1B were collected through correlational survey methods (Study 1 pilot and replication samples), while the dataset labelled 2 was collected from an experiment (Study 2).

All analyses were conducted in R or SPSS. R code is available at https://github.com/nadyamajeed/thesis_masters. Opening the .sav file requires SPSS or R.

Singapore Marriages Registered By Ethnic Group: UMLA: Indians data was reported at 14.000 Number in May 2018. This stayed constant from the previous number of 14.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UMLA: Indians data is updated monthly, averaging 15.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 55.000 Number in Dec 1989 and a record low of 0.000 Number in Jun 2017. Singapore Marriages Registered By Ethnic Group: UMLA: Indians data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_cf29323093e9a38f58a234770faaf182/view

As a multicultural country led by 3 different races, it was a tough journey for Malaya (now known as Malaysia) to continue preserving their own unique identity. In the 16th century, they fell into the hands of Portuguese Colonists, then the Dutch, Britishs and eventually the Japanese occupation and communist threat in the 1940s.

Although things eventually became better when the Japanese surrendered, the imbalance in racial composition between the original Malay settlers and Chinese immigrants sparked numerous civil wars between the 2 races (which eventually led to the separation of Singapore from Malaya in 1965). Although these racial tensions are still present today in 2023, matters have been way peaceful except on some occasions where manipulative politicians raise these issues again to prepare for a potential coup d'etat.

This is a simple dataset with only a date and number of births on that day, great for Time Series forecasting.

Notable historical events which might influence the birth rate: 08/12/1941 - 05/09/1945 : Japanese Occupation of Malaya 16/06/1948 - 02/12/1989 : Communist Insurgency in Malaya 16/09/1963 : Founding of Malaysia (Sabah and Sarawak is combined with the Malay Peninsular) 09/08/1965 : Separation of Singapore from Malaysia. 13/05/1969 : (May 13 Incident) Racial clash between ethnic Malays and Chinese leading to a state of emergency.

Do leave me a message if you have any questions!

Dataset from Sport Singapore. For more information, visit https://data.gov.sg/datasets/d_59a40c9c89c44a5b267a35eb904eb6ce/view

This study contains data on 2,238 university students in Thailand, Philippines, Malaysia, Singapore, and Indonesia and their attitudes towards certain nationals and ethnic groups in the period 1970-1971. Respondents were asked questions in their native language about their attitudes towards certain groups in order to determine their social and international alienation from these groups. Demographic variables provide information on age, sex, nationality, ethnicity, religion, languages spoken, and occupation. The data map is provided as an ASCII text file, and the codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site. A total of 2,238 randomly selected university students in Thailand, the Philippines, Malaysia, Singapore, and Indonesia in the period 1970-1971. Datasets: DS1: Attitudinal Distance in Southeast Asia, 1970-1971

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_e7ae90176a68945837ad67892b898466/view

In 2024, the number of crimes committed in Singapore for every 100,000 individuals was 1,255. This was a ten-year high, and mostly due to the increase in scams and cybercrimes cases. Low crime rates in Singapore Singapore has a reputation for being one of the safest cities in the world. Violent crime in Singapore is rare – as of 2021, such crimes accounted for nine per 100 thousand population. One reason for this could be the harsh penalties for offenders, as well as a strict ban on weapons for those not in law enforcement. Singapore still carries out capital punishment for crimes such as murder and the illegal possession of firearms carry the death penalty. Increase in commercial crime The most common type of crime committed in Singapore were commercial crimes, especially scams. As Singaporeans carry out more aspects of everyday life online, so too are criminals looking to take advantage of unsuspecting victims. In 2021, scams involving e-commerce transactions were the most common of such crimes. These typically involve the fraudulent sale of products on C2C commercial sites, which are harder to track. Such scams, however, usually involve smaller amounts of money, unlike investment scams. These involve targeting individuals and tricking them into wiring large sums of money for supposed financial investments. In 2021, individuals in Singapore who fell victim to such scams were cheated out of around 191 million Singapore dollars.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_a163709ce243e0d0d398d841b26f5049/view