3 datasets found
  1. T

    Philippines Tourist Arrivals

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated May 8, 2025
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    TRADING ECONOMICS (2025). Philippines Tourist Arrivals [Dataset]. https://tradingeconomics.com/philippines/tourist-arrivals
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    May 8, 2025
    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 31, 1991 - Apr 30, 2025
    Area covered
    Philippines
    Description

    Tourist Arrivals in Philippines decreased to 450493 in April from 486171 in March of 2025. This dataset provides - Philippines Tourist Arrivals - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. n

    Data from: In-water observations highlight the effects of provisioning on...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Dec 13, 2020
    + more versions
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    Christine Legaspi; Gonzalo Araujo (2020). In-water observations highlight the effects of provisioning on whale shark behaviour at the world’s largest whale shark tourism destination [Dataset]. http://doi.org/10.5061/dryad.fn2z34tqs
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    zipAvailable download formats
    Dataset updated
    Dec 13, 2020
    Dataset provided by
    Large Marine Vertebrates Research Institute Philippines
    Authors
    Christine Legaspi; Gonzalo Araujo
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    World
    Description

    The whale shark is the world’s largest fish that forms predictable aggregations globally, many of which support tourism industries. The largest non-captive provisioned whale shark destination globally is at Oslob, Philippines, where >500,000 tourists visit yearly. There, the sharks are provisioned daily, year-round, allowing the human-shark interaction in nearshore waters. We used in-water behavioural observations of whale sharks between 2015 and 2017 to understand the relationship between external stimuli and shark behaviour, whether frequency of visits at the site can act as a predictor of behaviour, and the tourist compliance to the code of conduct. Mixed effects models revealed that the number of previous visits at the site was a strong predictor of whale shark behaviour, and that provisioned sharks were less likely to exhibit avoidance. Compliance was poor, with 93% of surveys having people <2 m from the animal, highlighting overcrowding on whale sharks at Oslob. Given the behavioural implications to whale sharks highlighted here and the local community’s reliance on the tourism industry, it is imperative to look into improving management strategies to increase tourist compliance and strive for sustainable tourism practices. Methods The dataset was collected using through dedicated focal follows (Altmann, 1974) between February 2015 and May 2017. Within each survey, an assigned researcher would follow the first shark randomly encountered within the study area and identify the individual using photo-identification. The researcher would gather observations of the shark's predominant behaviour, and as well as events and the individual's corresponding reactions. Tourist compliance to the local code of conduct was also recorded within each survey.

    The data gathered was processed by fitting a binomial generalised linear mixed model (GLMM) using the R program to determine variables that influence whale shark behaviour.

  3. P

    Philippines Tourism Expenditure: Domestic

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com, Philippines Tourism Expenditure: Domestic [Dataset]. https://www.ceicdata.com/en/philippines/tourism-expenditure/tourism-expenditure-domestic-
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Philippines
    Variables measured
    Tourism Statistics
    Description

    Philippines Tourism Expenditure: Domestic data was reported at 2,644,833.000 PHP mn in 2017. This records an increase from the previous number of 2,108,216.000 PHP mn for 2016. Philippines Tourism Expenditure: Domestic data is updated yearly, averaging 519,391.000 PHP mn from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 2,644,833.000 PHP mn in 2017 and a record low of 182,059.000 PHP mn in 2000. Philippines Tourism Expenditure: Domestic data remains active status in CEIC and is reported by Department of Tourism. The data is categorized under Global Database’s Philippines – Table PH.Q009: Tourism Expenditure .

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TRADING ECONOMICS (2025). Philippines Tourist Arrivals [Dataset]. https://tradingeconomics.com/philippines/tourist-arrivals

Philippines Tourist Arrivals

Philippines Tourist Arrivals - Historical Dataset (1991-01-31/2025-04-30)

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4 scholarly articles cite this dataset (View in Google Scholar)
excel, csv, json, xmlAvailable download formats
Dataset updated
May 8, 2025
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 31, 1991 - Apr 30, 2025
Area covered
Philippines
Description

Tourist Arrivals in Philippines decreased to 450493 in April from 486171 in March of 2025. This dataset provides - Philippines Tourist Arrivals - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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