As of April 7, 2022, 416 people in Singapore were hospitalized due to COVID-19. Out of these, 44 cases required oxygen supplementation, while 15 in the ICU. To date, 1,290 deaths have so far been attributed to COVID-19.

State of the coronavirus (COVID-19) pandemic in Singapore As of February 2, 2022, Singapore had registered more than 362 thousand confirmed cases of COVID-19. Despite having an 88 percent COVID-19 vaccination rate, the country has been going through a surge in COVID-19 infections now caused by the highly-contagious Omicron variant. This has led to delays in its plans to reopen the country for a 'return to normal'.

Gradual return to normalcy? Due to the current increase in COVID-19 infections, Singapore has pushed back plans to remove the restrictions imposed to control the pandemic, with the Prime Minister estimating that it would be another three to six months before the 'new normal' could begin. This was to prevent the healthcare system from being overstressed. While vaccination rates remain high, hospitalization rates have increased, with the majority of those hospitalized being unvaccinated.

Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of April 7, 2022, the total number of COVID-19 cases in Singapore amounted to around 1.1 million. There has been a decrease in daily cases in Singapore this week, though the number is still expected to rise largely due to the highly-contagious Omicron variant.

Overcoming the COVID-19 pandemic Singapore was one of the few countries worldwide that had managed to successfully control the spread of COVID-19. This was done through imposing a strict lockdown period during the beginning of the pandemic in 2020, introducing and enforcing hygiene and social-distancing rules, and effective contact tracing, among others. The measures in place had the intended impact, as the number of daily recorded cases have decreased to manageable levels. Furthermore, community transmission has been reduced to just several cases a week; the majority of the daily new cases of COVID-19 recorded were from overseas arrivals.

Recovering from the economic impact of COVID-19 The closure of businesses, compounded by the global restrictions on movement, had had an adverse effect on its economy. Singapore went through its worse recession on record, while the resident unemployment rate increased. However, with restrictions in the country easing, economists have raised their forecasts for economic growth in Singapore for 2021.

Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Singapore recorded 2414394 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Singapore reported 1722 Coronavirus Deaths. This dataset includes a chart with historical data for Singapore Coronavirus Cases.

On November 4, 2022, Singapore recorded 3,128 new confirmed cases of COVID-19. Although the number of daily cases is started to decline, Singapore is still expecting a rise in cases caused by the highly-contagious Omicron variant.

Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

JHU Has Stopped Collecting Data As Of 03/10/2023

After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.

The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.

Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.

Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.

On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:

• time_series_covid19_confirmed_global.csv
• time_series_covid19_deaths_global.csv
• time_series_covid19_recovered_global.csv

---DEPRECATION WARNING---
The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:

• time_series_19-covid-Confirmed.csv
• time_series_19-covid-Deaths.csv
• time_series_19-covid-Recovered.csv

In past 24 hours, Singapore, Asia had N/A new cases, N/A deaths and N/A recoveries.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Singapore Exports of watch cases and to Romania was US$1 during 2023, according to the United Nations COMTRADE database on international trade. Singapore Exports of watch cases and to Romania - data, historical chart and statistics - was last updated on March of 2025.

In 2022, there was a total of 2,511 reported cases of tuberculosis in Singapore. This was an increase in tuberculosis cases compared to the ones reported in the previous year, which was 2,314 cases.

Singapore Crime Cases Recorded: Overall data was reported at 32,773.000 Number in 2017. This records a decrease from the previous number of 33,099.000 Number for 2016. Singapore Crime Cases Recorded: Overall data is updated yearly, averaging 33,099.000 Number from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 37,093.000 Number in 2005 and a record low of 29,984.000 Number in 2013. Singapore Crime Cases Recorded: Overall data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G077: Public Safety.

China Exports of watch cases and to Singapore was US$3.44 Million during 2023, according to the United Nations COMTRADE database on international trade. China Exports of watch cases and to Singapore - data, historical chart and statistics - was last updated on March of 2025.

Brazil Imports from Singapore of Watch Cases and Parts was US$2.72 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Brazil Imports from Singapore of Watch Cases and Parts - data, historical chart and statistics - was last updated on March of 2025.

Singapore Crime Cases Recorded: Housebreaking and Related Crimes data was reported at 328.000 Number in 2017. This records an increase from the previous number of 300.000 Number for 2016. Singapore Crime Cases Recorded: Housebreaking and Related Crimes data is updated yearly, averaging 706.000 Number from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 1,551.000 Number in 2005 and a record low of 300.000 Number in 2016. Singapore Crime Cases Recorded: Housebreaking and Related Crimes data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G077: Public Safety.

Singapore Imports of clock cases and cases of a similar type for other goods of this chapter from Poland was US$2.02 Thousand during 2022, according to the United Nations COMTRADE database on international trade.

Forecast: Import of Wooden Packing Cases, Boxes and Pallets to Singapore 2024 - 2028 Discover more data with ReportLinker!

Singapore Exports of clock cases and cases of a similar type for other goods of this chapter to Australia was US$3.08 Thousand during 2023, according to the United Nations COMTRADE database on international trade.

Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singapore residents over the years. In 2020, Singapore has been experiencing an unprecedented dengue outbreak. As of 7 Sep, the cumulative number of dengue cases for this year stands at more than 28300. We collect a dataset of weekly dengue cases with the locality of each case. Specifically, our dataset captures all dengue cases that are reported from 15 Feb to 9 July in 2020, which covers the nationwide lockdown period from 7 April to 1 June for controlling the pandemics of COVID-19. The locality is matched to spatial units with a high resolution, with an average coverage of only about 1.35 km2. The dengue case dataset with such a fine-grained resolution could provide materials for either revealing dengue transmission pattern, or researching on the effects of lockdown on dengue spreading dynamics. The resulting weekly dengue case records with geographical locality are released in simple formats for easy access to facilitate studies on dengue epidemics.

Singapore Crime Cases Recorded: Crimes against Persons data was reported at 4,527.000 Number in 2017. This records an increase from the previous number of 4,354.000 Number for 2016. Singapore Crime Cases Recorded: Crimes against Persons data is updated yearly, averaging 3,969.000 Number from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 4,527.000 Number in 2017 and a record low of 3,708.000 Number in 2006. Singapore Crime Cases Recorded: Crimes against Persons data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G077: Public Safety.

Forecast: Trunks and Cases of Leather Market Size Value in Singapore 2022 - 2026 Discover more data with ReportLinker!

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretabilty. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:

• Analyze missing data: Project Tycho datasets do not inlcude time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported.
• Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exxclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".