100+ datasets found
  1. Coronavirus COVID-19 patients Philippines 2020, by age group

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Coronavirus COVID-19 patients Philippines 2020, by age group [Dataset]. https://www.statista.com/statistics/1104061/philippines-coronavirus-covid-19-patients-by-age-group/
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    As of April 2, 2020, about 609 patients who had coronavirus COVID-19 in the Philippines belonged to the age group of 60 to 69 years old. Only seven confirmed patients was between 90 to 99 years old.

  2. T

    Philippines Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). Philippines Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/philippines/coronavirus-cases
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 3, 2020 - May 17, 2023
    Area covered
    Philippines
    Description

    Philippines recorded 4115202 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Philippines reported 66453 Coronavirus Deaths. This dataset includes a chart with historical data for Philippines Coronavirus Cases.

  3. COVID-19 Households Survey 2020-2021 - Philippines

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated May 9, 2022
    + more versions
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    World Bank (2022). COVID-19 Households Survey 2020-2021 - Philippines [Dataset]. https://microdata.worldbank.org/index.php/catalog/4480
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    Dataset updated
    May 9, 2022
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank
    Time period covered
    2020 - 2021
    Area covered
    Philippines
    Description

    Abstract

    The Philippines COVID-19 Households Survey represents an important part of the World Bank’s real time monitoring of COVID-19 impacts along with firm and community surveys. It aims to assess the impact of the pandemic on households’ food security and welfare, their coping strategies, education, socio-emotional state, and public policy responses. A survey firm carried out phone surveys (based on a sample frame that the firm has maintained) and self-administered web surveys facilitated by Telecommunication Firms’ (Telcos) text blasts and social media advertisement campaigns distributing the web link to the survey questions. The survey instrument and procedures have been designed in accordance with the best practices laid out by the World Bank’s COVID-19 methodology and measurement task force. The average length of the survey was 30-40 minutes and were rolled out during key periods at the course of the pandemic.

    Geographic coverage

    National

    Analysis unit

    Household, individuals

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The mixed method combining both phone and web-based surveys was employed to ensure coverage of individuals from different socio-economic backgrounds. In the self-administered online survey (CAWI), respondents received notifications through text blast and social media ads. The text blast was coordinated by the National Economic Development Authority through the National Telecommunications Commission. In the other hand, the phone survey (CATI) specifically targeted to lower income households from an existing list of the partner survey firm with a target sample of 3,000 respondents.

    Sampling deviation

    In rounds 2 and 3, the survey was limited to phone interviews (CATI) from the panel of 5,049 respondents in round 1. Target number of respondents was 3,000.

    The team decided to simplify the methodology in the succeeding rounds due to resource constraints.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    The questionnaire had core modules that were collected in each round and additional modules on focus topics. Following are the topics covered: 1) Demographics and housing characteristics (round 1) 2) Knowledge of COVID-19: awareness and behavior (round 1) 3) Government action (rounds 1, 2) 4) Access to transportation (rounds 1, 2) 5) Access to food (rounds 1, 2) 6) Access to health services (rounds 1, 2) 7) Access to education (rounds 1) 8) Access to finances (rounds 1) 9) Employment and income sources (rounds 1) 10) Coping mechanisms and safety nets (rounds 1)

    Cleaning operations

    Initial data cleaning was done by the survey firm in close coordination with the World Bank team. Consistency checks and formatting was done further by the World Bank team during the analysis of the data.

    Response rate

    Following were the final sample for each round: Round 1 - 9,448 Round 2 - 1,805 Round 3 - 2,122

  4. Deaths from COVID-19 virus identified cases Philippines 2020-2023

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Deaths from COVID-19 virus identified cases Philippines 2020-2023 [Dataset]. https://www.statista.com/statistics/1367333/philippines-covid-19-virus-identified-deaths/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    According to preliminary data between January and September 2023, 0.5 percent of deaths in the Philippines were identified as caused by the COVID-19 virus. COVID-related deaths peaked in 2021 with a share of 9.7 percent.

  5. Coronavirus (COVID-19) key figures in the Philippines 2023

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Coronavirus (COVID-19) key figures in the Philippines 2023 [Dataset]. https://www.statista.com/statistics/1100765/philippines-coronavirus-covid19-cases/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    As of May 3, 2023, approximately 4.1 million people had been confirmed as infected with the COVID-19 virus in the Philippines. Of those, over four million had recovered and around 66.4 thousand died.

    Vaccination rollout in the Philippines
    The government’s vaccination drives successfully inoculated over 71 million Filipinos, surpassing the initial target of 70 million. This represented about 77 percent of the total eligible population to receive the vaccine. As of June 2022, the National Capital Region accounted for the highest share of the population that have been fully vaccinated from the virus, followed by Region 4-A.

    Hybrid shopping behavior Lockdown restrictions across the country forced consumers to turn to e-commerce channels and digital payment systems to prevent themselves from contracting the virus. A survey revealed that about 46 percent of respondents in the Philippines were first social media shoppers in 2021.

  6. T

    Philippines Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 11, 2020
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    TRADING ECONOMICS (2020). Philippines Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/philippines/coronavirus-recovered
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 11, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2019 - Dec 15, 2021
    Area covered
    Philippines
    Description

    Philippines recorded 1339248 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Philippines reported 50351 Coronavirus Deaths. This dataset includes a chart with historical data for Philippines Coronavirus Recovered.

  7. Latest Coronavirus COVID-19 figures for Philippines

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Philippines [Dataset]. https://covid19-today.pages.dev/countries/philippines/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Philippines
    Description

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

  8. M

    Project Tycho Dataset; Counts of COVID-19 Reported In PHILIPPINES: 2019-2021...

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    csv, zip
    Updated Sep 1, 2025
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    MIDAS Coordination Center (2025). Project Tycho Dataset; Counts of COVID-19 Reported In PHILIPPINES: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/PH.840539006
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    First-order administrative division, Second-order administrative division, Country, City, Philippines
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, population demographic census, and 2 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in PHILIPPINES: 2019-12-30 - 2021-07-31. It contains counts of cases, deaths, and demographics. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "Republic of Philippines Department of Health COVID-19 Website Dashboard", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  9. T

    Philippines Coronavirus COVID-19 Vaccination Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 22, 2021
    + more versions
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    TRADING ECONOMICS (2021). Philippines Coronavirus COVID-19 Vaccination Rate [Dataset]. https://tradingeconomics.com/philippines/coronavirus-vaccination-rate
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Apr 22, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2021 - Mar 9, 2023
    Area covered
    Philippines
    Description

    The number of COVID-19 vaccination doses administered per 100 people in the Philippines rose to 148 as of Oct 27 2023. This dataset includes a chart with historical data for Philippines Coronavirus Vaccination Rate.

  10. Related top queries and search interest value for “community quarantine”.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Adrian Galido; Jerina Jean Ecleo; Atina Husnayain; Emily Chia-Yu Su (2023). Related top queries and search interest value for “community quarantine”. [Dataset]. http://doi.org/10.1371/journal.pone.0249810.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Adrian Galido; Jerina Jean Ecleo; Atina Husnayain; Emily Chia-Yu Su
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Related top queries and search interest value for “community quarantine”.

  11. M

    Philippines : COVID-19 Response (Who Does What Where)

    • catalog.midasnetwork.us
    xls
    Updated Aug 25, 2025
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    United Nations Office for the Coordination of Humanitarian Affairs office (OCHA) in the Philippines - OCHA Philippines (2025). Philippines : COVID-19 Response (Who Does What Where) [Dataset]. https://catalog.midasnetwork.us/collection/35
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 25, 2025
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    United Nations Office for the Coordination of Humanitarian Affairs office (OCHA) in the Philippines - OCHA Philippines
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 25, 2020 - Aug 6, 2021
    Area covered
    Region, City, Country, Province, Municipality, Philippines
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, infectious disease, Health Heterogeneity, socio-economic impacts, control strategy census, and 4 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    Data contains the humanitarian organizations, the humanitarian categories/sectors as well as the subdivisions these organizations focus on ((these include community engagement, health, FSAL (food security and livelihoods), NFI (non-food items), WASH (water, hygiene, and sanitation), CCCM (camp coordination/camp management), protection, education, nutrition, shelter, etc)) and the activities related to these sectors they have undertaken in relation and in response to the COVID-19 pandemic in the Philippines.

  12. f

    Related top queries and search interest value for COVID-19 terms.

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Adrian Galido; Jerina Jean Ecleo; Atina Husnayain; Emily Chia-Yu Su (2023). Related top queries and search interest value for COVID-19 terms. [Dataset]. http://doi.org/10.1371/journal.pone.0249810.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Adrian Galido; Jerina Jean Ecleo; Atina Husnayain; Emily Chia-Yu Su
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Related top queries and search interest value for COVID-19 terms.

  13. Coronavirus (COVID-19) cases Manila City Philippines 2023

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Coronavirus (COVID-19) cases Manila City Philippines 2023 [Dataset]. https://www.statista.com/statistics/1107759/philippines-coronavirus-covid-19-cases-manila-city/
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    As of April 21, 2023, there were over 166 thousand coronavirus (COVID-19) cases within Manila City in the Philippines. Of these cases, about roughly 1.9 thousand patients died and around 163.8 thousand recovered.

  14. f

    Related top queries and search interest value for “social distancing”.

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Adrian Galido; Jerina Jean Ecleo; Atina Husnayain; Emily Chia-Yu Su (2023). Related top queries and search interest value for “social distancing”. [Dataset]. http://doi.org/10.1371/journal.pone.0249810.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Adrian Galido; Jerina Jean Ecleo; Atina Husnayain; Emily Chia-Yu Su
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Related top queries and search interest value for “social distancing”.

  15. Major cases of coronavirus (COVID-19) in the Philippines 2023, by province...

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Major cases of coronavirus (COVID-19) in the Philippines 2023, by province or city [Dataset]. https://www.statista.com/statistics/1103623/philippines-coronavirus-covid-19-cases-by-residence/
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    The coronavirus COVID-19, which originated in Wuhan, China, has spread worldwide. Across the different regions in the world, the number of cases is continuously increasing. As of May 3, 2023, Quezon City reported over 277 thousand cases of COVID-19 – the highest among other cities and provinces in the Philippines.

    Lesser restrictions in major cities Despite having the highest number of COVID-19 cases among cities and provinces nationwide, Quezon City was placed under Alert Level 1 for the month of June 2022 – the lowest alert level status for the pandemic. This meant freer movements across populations and full capacity of most establishments. The alert level status will be updated depending on the possible rise of new cases. The lowering down of restriction level was implemented after the vaccination target of 71 million was met. As of July 2022, over 71 million people have already been fully vaccinated from COVID, with over 15 million having received a booster dose.

    Unmasking
    The possibility of lifting the mandatory wearing of face masks in the country towards the end of 2022 was raised if the government successfully vaccinates 90 million of its 110 million population. In addition, the Philippine government will also start encouraging its population to take the booster shot, in efforts to control the spread of the Omicron subvariant. As of July 2022, the National Capital Region accounted for the highest share of the population with booster shots.

  16. Data from: Lost on the frontline, and lost in the data: COVID-19 deaths...

    • figshare.com
    zip
    Updated Jul 22, 2022
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    Loraine Escobedo (2022). Lost on the frontline, and lost in the data: COVID-19 deaths among Filipinx healthcare workers in the United States [Dataset]. http://doi.org/10.6084/m9.figshare.20353368.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 22, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Loraine Escobedo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    To estimate county of residence of Filipinx healthcare workers who died of COVID-19, we retrieved data from the Kanlungan website during the month of December 2020.22 In deciding who to include on the website, the AF3IRM team that established the Kanlungan website set two standards in data collection. First, the team found at least one source explicitly stating that the fallen healthcare worker was of Philippine ancestry; this was mostly media articles or obituaries sharing the life stories of the deceased. In a few cases, the confirmation came directly from the deceased healthcare worker's family member who submitted a tribute. Second, the team required a minimum of two sources to identify and announce fallen healthcare workers. We retrieved 86 US tributes from Kanlungan, but only 81 of them had information on county of residence. In total, 45 US counties with at least one reported tribute to a Filipinx healthcare worker who died of COVID-19 were identified for analysis and will hereafter be referred to as “Kanlungan counties.” Mortality data by county, race, and ethnicity came from the National Center for Health Statistics (NCHS).24 Updated weekly, this dataset is based on vital statistics data for use in conducting public health surveillance in near real time to provide provisional mortality estimates based on data received and processed by a specified cutoff date, before data are finalized and publicly released.25 We used the data released on December 30, 2020, which included provisional COVID-19 death counts from February 1, 2020 to December 26, 2020—during the height of the pandemic and prior to COVID-19 vaccines being available—for counties with at least 100 total COVID-19 deaths. During this time period, 501 counties (15.9% of the total 3,142 counties in all 50 states and Washington DC)26 met this criterion. Data on COVID-19 deaths were available for six major racial/ethnic groups: Non-Hispanic White, Non-Hispanic Black, Non-Hispanic Native Hawaiian or Other Pacific Islander, Non-Hispanic American Indian or Alaska Native, Non-Hispanic Asian (hereafter referred to as Asian American), and Hispanic. People with more than one race, and those with unknown race were included in the “Other” category. NCHS suppressed county-level data by race and ethnicity if death counts are less than 10. In total, 133 US counties reported COVID-19 mortality data for Asian Americans. These data were used to calculate the percentage of all COVID-19 decedents in the county who were Asian American. We used data from the 2018 American Community Survey (ACS) five-year estimates, downloaded from the Integrated Public Use Microdata Series (IPUMS) to create county-level population demographic variables.27 IPUMS is publicly available, and the database integrates samples using ACS data from 2000 to the present using a high degree of precision.27 We applied survey weights to calculate the following variables at the county-level: median age among Asian Americans, average income to poverty ratio among Asian Americans, the percentage of the county population that is Filipinx, and the percentage of healthcare workers in the county who are Filipinx. Healthcare workers encompassed all healthcare practitioners, technical occupations, and healthcare service occupations, including nurse practitioners, physicians, surgeons, dentists, physical therapists, home health aides, personal care aides, and other medical technicians and healthcare support workers. County-level data were available for 107 out of the 133 counties (80.5%) that had NCHS data on the distribution of COVID-19 deaths among Asian Americans, and 96 counties (72.2%) with Asian American healthcare workforce data. The ACS 2018 five-year estimates were also the source of county-level percentage of the Asian American population (alone or in combination) who are Filipinx.8 In addition, the ACS provided county-level population counts26 to calculate population density (people per 1,000 people per square mile), estimated by dividing the total population by the county area, then dividing by 1,000 people. The county area was calculated in ArcGIS 10.7.1 using the county boundary shapefile and projected to Albers equal area conic (for counties in the US contiguous states), Hawai’i Albers Equal Area Conic (for Hawai’i counties), and Alaska Albers Equal Area Conic (for Alaska counties).20

  17. Travel history and exposure COVID-19 positive cases Philippines 2020

    • statista.com
    Updated Mar 12, 2020
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    Statista (2020). Travel history and exposure COVID-19 positive cases Philippines 2020 [Dataset]. https://www.statista.com/statistics/1103146/philippines-coronavirus-covid-19-positive-cases-based-on-travel-history-exposure/
    Explore at:
    Dataset updated
    Mar 12, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    As of March 12, 2020, there were 52 confirmed cases of coronavirus COVID-19 in the Philippines. Of these, 34 cases occurred through local transmission, which included direct exposure to known coronavirus COVID-19 carrier. In addition, infected persons had a travel history to China, South Korea, Australia, UAE, Indonesia, United States, United Kingdom, Taiwan, and Switzerland.

  18. Z

    Counts of COVID-19 reported in PHILIPPINES: 2019-2021

    • data.niaid.nih.gov
    Updated Jun 3, 2024
    + more versions
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    MIDAS Coordination Center (2024). Counts of COVID-19 reported in PHILIPPINES: 2019-2021 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11451853
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    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    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.

  19. H

    Research for Effective Covid-19 Response (RECOVR): Philippines

    • dataverse.harvard.edu
    Updated Aug 3, 2020
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    Elliott Collins; Shana S. Warren; Doug Parkerson (2020). Research for Effective Covid-19 Response (RECOVR): Philippines [Dataset]. http://doi.org/10.7910/DVN/W7OBKB
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 3, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Elliott Collins; Shana S. Warren; Doug Parkerson
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Philippines
    Dataset funded by
    Mulago Foundation + Anonymous Donor
    Description

    Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers about the communities that are hardest-hit by the economic toll of the pandemic. IPA has rolled out the RECOVR survey in Burkina Faso, Colombia, Côte d'Ivoire, Ghana, Metro Mexico City, the Philippines, Rwanda, Sierra Leone, and Zambia. We document severe negative shocks to employment, income and food security, and identify how families are caring for and educating their children during extended school closures.

  20. Gender of coronavirus COVID-19 positive cases Philippines 2020

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Gender of coronavirus COVID-19 positive cases Philippines 2020 [Dataset]. https://www.statista.com/statistics/1103213/philippines-novel-coronavirus-covid-19-patients-by-gender/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    As of April 2, 2020, there were 1,603 males and 1,030 female patients who had novel coronavirus COVID-19 in the Philippines. It is estimated that a maximum of one million people would lose their jobs in the Philippines due to the enhanced community quarantine within the Luzon Island of the Philippines. The Luzon-enhanced community quarantine is a total lockdown, restricting the movement of the population with exceptions, in response to the growing pandemic of COVID-19 in the country from March 17 to mid-April, 2020.

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Statista (2025). Coronavirus COVID-19 patients Philippines 2020, by age group [Dataset]. https://www.statista.com/statistics/1104061/philippines-coronavirus-covid-19-patients-by-age-group/
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Coronavirus COVID-19 patients Philippines 2020, by age group

Explore at:
Dataset updated
Aug 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Philippines
Description

As of April 2, 2020, about 609 patients who had coronavirus COVID-19 in the Philippines belonged to the age group of 60 to 69 years old. Only seven confirmed patients was between 90 to 99 years old.

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