4 datasets found
  1. T

    Vietnam Tourist Arrivals

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). Vietnam Tourist Arrivals [Dataset]. https://tradingeconomics.com/vietnam/tourist-arrivals
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 6, 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, 2015 - May 31, 2025
    Area covered
    Vietnam
    Description

    Tourist Arrivals in Vietnam decreased to 1528.35 Thousand in May from 1654.68 Thousand in April of 2025. This dataset provides - Vietnam Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. Number of international visitor arrivals in Vietnam 2016-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
    + more versions
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    Statista (2024). Number of international visitor arrivals in Vietnam 2016-2023 [Dataset]. https://www.statista.com/statistics/1195290/vietnam-international-visitor-arrivals/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    In 2023, the total number of international visitor arrivals to Vietnam reached approximately 12.6 million. Prior to the COVID-19 pandemic, Vietnam welcomed 18 million international arrivals in 2019, a record number for the country, following healthy year-on-year growth in visitor numbers since 2016. In March 2022, the country removed its travel restrictions, hoping to assist in the recovery of the tourism sector.

    Post-COVID-19 rebound

    Vietnam’s tourism industry has become an essential contributor to the country's service sector and overall economic growth. The country’s diverse landscapes, rich cultural heritage, and warm hospitality have attracted a growing number of international tourists in recent years. However, the outbreak of the COVID-19 pandemic dealt a severe blow to the industry, leading to a sharp decline in tourist arrivals and tourism sector revenue since 2020. Despite the challenges, Vietnam’s tourism industry has started to recover after the lifting of pandemic restrictions. In 2023, the country saw an impressive increase in international arrivals, with South Korea being the leading country of origin, followed by Mainland China. In addition to international tourism, the strong domestic market and the pent-up demand for travel have also played a crucial role in the country’s tourism industry. In 2023, the number of domestic tourists in the country reached approximately 108.2 million, doubling from 2021 figures.

    An optimistic future for Vietnam’s tourism sector

    The government's proactive efforts have enabled the industry to bounce back and regain momentum. For instance, the National Assembly of Vietnam has officially approved the Resolutions to implement a 3-month e-visa for all countries and visa duration exemption for 13 specific countries, effective from August 15, 2023. Particularly, foreigners from all countries and territories with e-visas can enter Vietnam via 42 ports and border gates, and citizens from 13 specific countries are allowed to stay in Vietnam for 45 days instead of 15 days since their entry, regardless of passport type or entry purpose. The visa relaxation is expected to boost tourism, foreign investment, and business cooperation in the country. Furthermore, the government's focus on sustainable tourism practices and infrastructure development will further enhance Vietnam's enchantment to visitors around the world.

  3. Sound and Audio Data in Vietnam

    • kaggle.com
    Updated Apr 3, 2025
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    Techsalerator (2025). Sound and Audio Data in Vietnam [Dataset]. https://www.kaggle.com/datasets/techsalerator/sound-and-audio-data-in-vietnam/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

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

    Description

    Techsalerator’s Location Sentiment Data for Vietnam

    Techsalerator’s Location Sentiment Data for Vietnam provides a robust dataset tailored for businesses, researchers, and developers. This collection offers valuable insights into how individuals perceive different locations across Vietnam, with a focus on sentiment analysis derived from social media, news, and location-based data.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Techsalerator’s Location Sentiment Data for Vietnam

    Techsalerator’s Location Sentiment Data for Vietnam delivers a detailed breakdown of sentiment trends in various regions of the country. This dataset is crucial for market research, urban development, tourism, and political analysis, providing valuable insights into public perception across urban, suburban, and rural areas.

    Top 5 Key Data Fields

    • Location Sentiment Score – Provides a numerical representation of sentiment for different geographic areas, including positive, neutral, and negative sentiments.
    • Geographic Region – Identifies the specific location within Vietnam where the sentiment was captured, from major cities to rural areas, supporting granular analysis.
    • Sentiment Type – Categorizes sentiment into positive, negative, or neutral, helping to assess public opinion about a location.
    • Time of Sentiment Capture – Records the timestamp for when the sentiment data was captured, allowing for trend analysis over different periods.
    • Source of Sentiment Data – Highlights the origin of the sentiment (social media platforms, news outlets, forums, etc.), ensuring data reliability and accuracy.

    Top 5 Sentiment Trends in Vietnam

    • Urban Growth Perception – Increasingly positive sentiment in urban areas like Ho Chi Minh City and Hanoi due to economic development, leading to shifts in real estate and business strategies.
    • Tourism Sentiment – Positive shifts in tourist destination areas, such as Da Nang and Phu Quoc, as Vietnam becomes a popular travel hub, influencing the hospitality industry.
    • Environmental Concerns – Growing negative sentiment related to environmental issues in coastal regions, due to pollution and climate change awareness, impacting policy and advocacy.
    • Tech and Innovation Sentiment – Highly positive sentiment in tech hubs such as Hanoi, where innovation and startups are thriving, influencing venture capital investments.
    • Political Sentiment – Public sentiment analysis around government policies and political developments, with notable variations between urban and rural perceptions.

    Top 5 Applications of Location Sentiment Data in Vietnam

    • Market Research – Brands can use sentiment data to tailor marketing campaigns to specific regions, adjusting their strategies based on local perceptions.
    • Urban Planning – Governments and urban developers use sentiment data to understand public opinion on infrastructure projects, aiding in better decision-making.
    • Tourism Promotion – Tourism authorities can use sentiment analysis to identify high-interest locations and optimize marketing for visitor attractions.
    • Public Policy Analysis – Political organizations use sentiment data to gauge public opinion on policies and campaigns, ensuring alignment with voter concerns.
    • Corporate Strategy – Businesses use sentiment data to understand the emotional connection customers have with different regions, guiding product development and expansion decisions.

    Accessing Techsalerator’s Location Sentiment Data

    To obtain Techsalerator’s Location Sentiment Data for Vietnam, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields

    • Location Sentiment Score
    • Geographic Region
    • Sentiment Type (Positive, Neutral, Negative)
    • Time of Sentiment Capture
    • Source of Sentiment Data
    • Sentiment Breakdown by Demographics
    • Trending Topics in Locations
    • Event-Based Sentiment Shifts
    • Influencer Impact on Sentiment
    • Contact Information

    For comprehensive insights into public sentiment across various locations in Vietnam, Techsalerator’s dataset is a valuable resource for researchers, marketers, urban planners, and policymakers.

  4. Z

    TripAdvisor Vietnam Hotel Reviews

    • data.niaid.nih.gov
    Updated May 25, 2023
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    Trinh Tran Thi Kieu (2023). TripAdvisor Vietnam Hotel Reviews [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7967493
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    Dataset updated
    May 25, 2023
    Dataset provided by
    Thao Huynh Nhi Thanh
    Trinh Tran Thi Kieu
    An Dinh Van
    Hieu Tran Nguyen Ngoc
    Anh Nguyen Thi Linh
    License

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

    Area covered
    Vietnam
    Description

    The TripAdvisor Vietnam Hotel Reviews Dataset is a comprehensive collection of user-generated reviews from the popular online travel platform TripAdvisor. This dataset offers valuable insights into the experiences, opinions, and ratings provided by individuals who have stayed at various hotels across Vietnam.

    The dataset encompasses many hotels in different cities and regions of Vietnam, including popular tourist destinations such as Hanoi, Ho Chi Minh City, Da Nang, Nha Trang, and more. The reviews cover a diverse spectrum of accommodation types, ranging from budget guesthouses to luxurious resorts, providing a comprehensive representation of the Vietnamese hospitality industry.

    Each review entry in the dataset includes a rich set of information, offering researchers, developers, and data analysts an in-depth understanding of hotel performance and customer satisfaction. Key attributes of the dataset include:

    Review Text: The actual text of the review left by the user, which contains detailed descriptions, opinions, and feedback about their hotel experience.

    Rating: The overall rating provided by the reviewer, typically ranging from 1 to 5 stars, reflects their satisfaction level with the hotel.

    Date: The review was posted, enabling temporal analysis and tracking changes over time.

    Location: The hotel's geographic location allows researchers to analyze regional variations in hotel performance and customer preferences.

    The TripAdvisor Vietnam Hotel Reviews Dataset is valuable for various applications, including sentiment analysis, opinion mining, natural language processing, customer behavior analysis, recommender systems, and more. Researchers can leverage this dataset to gain deep insights into customer experiences, identify patterns, trends, and sentiments, and develop data-driven strategies for the Vietnamese hotel industry.

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Share
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TwitterTwitter
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Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). Vietnam Tourist Arrivals [Dataset]. https://tradingeconomics.com/vietnam/tourist-arrivals

Vietnam Tourist Arrivals

Vietnam Tourist Arrivals - Historical Dataset (2015-01-31/2025-05-31)

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12 scholarly articles cite this dataset (View in Google Scholar)
csv, json, xml, excelAvailable download formats
Dataset updated
Jun 6, 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, 2015 - May 31, 2025
Area covered
Vietnam
Description

Tourist Arrivals in Vietnam decreased to 1528.35 Thousand in May from 1654.68 Thousand in April of 2025. This dataset provides - Vietnam Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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