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Indian Tourism Performance Metrics

Data Science and Analytics

Tags and Keywords

Travel

Tourism

India

Visitors

Statistics

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About

This dataset provides detailed statistics on foreign visitors to India from 2014 to 2020. It includes data on foreigners, overseas Indian citizens, and crew members, whilst excluding categories such as diplomats and permanent residents. Compiled and analysed by the Indian Government, the data serves as fundamental input for establishing tourism policies and marketing strategies. This dataset has been meticulously rebuilt for ease of analysis.

Columns

The dataset includes various metrics related to tourism in India and globally:
  • noftaii: Number of Foreign Tourist Arrivals in India (in Millions)
  • noftaiiagr: Annual growth rate of Foreign Tourist Arrivals in India (in %)
  • noindfi: Number of Indian Nationals departures from India (in Millions)
  • noindfiagr: Annual growth rate of Indian Nationals departures from India (in %)
  • nodtvasu: Number of Domestic Tourist Visits to all States/Union Territories
  • nodtvasuagr: Annual growth rate of Domestic Tourist Visits to all States/Union Territories (in %)
  • feeftit: Estimated Foreign Exchange Earnings from Tourism in Indian Rupee (INR) terms (in Crores)
  • feeftitagr: Annual growth rate of Estimated Foreign Exchange Earnings from Tourism in INR terms (in %)
  • feeftust: Estimated Foreign Exchange Earnings from Tourism in US Dollar (US$) terms (in Billions)
  • feeftustagr: Annual growth rate of Estimated Foreign Exchange Earnings from Tourism in US$ terms (in %)
  • wnoita: World level Number of International Tourist Arrivals (in Millions)
  • wnoitaagr: Annual growth rate of World level International Tourist Arrivals (in %)
  • witr: World level International Tourism Receipts (in US$ Billion)
  • witragr: Annual growth rate of World level International Tourism Receipts (in %)
  • aprnoita: Number of International Tourist Arrivals in Asia and The Pacific Region (in Million)
  • aprnoitaagr: Annual growth rate of International Tourist Arrivals in Asia and The Pacific Region (in %)
  • apfitr: International Tourism Receipts in Asia and The Pacific Region (in US$ Billion)
  • apritragr: Annual growth rate of International Tourism Receipts in Asia and The Pacific Region (in %)
  • ipwiita: India’s Position in World, Share of India in International Tourist Arrivals (in %)
  • ipwirwta: India’s Position in World, India’s rank in World Tourist Arrivals
  • ipwsiitr: India’s Position in World, Share of India in International Tourism Receipts (US$ terms) (in %)
  • ipwirwtr: Position in Asia & the Pacific Region, India’s rank in World Tourism Receipts
  • ipaprita: Position in Asia & the Pacific Region, Share of India in International Tourist Arrivals (in %)
  • Country of Nationality: The nationality of the visitors.
  • 2014 1st quarter (Jan-March) to 2020 4th quarter (Oct-Dec): Quarterly foreign visitor data, categorised by country of nationality. These columns represent the number of visitors during each specific quarter.

Distribution

This dataset is typically available in CSV format and includes 32 columns with an approximate file size of 10.1 kB for the Country Quater Wise Visitors.csv segment. The data structure involves quarterly visitor statistics by country of nationality, with around 61 to 63 records (rows) per quarter, representing distinct nationalities.

Usage

This dataset is ideal for:
  • Establishing tourism policies: Informing governmental decisions on tourism development.
  • Developing marketing strategies: Guiding campaigns aimed at attracting foreign visitors.
  • Data visualisation: Creating visual representations of tourism trends.
  • Exploratory data analysis: Discovering patterns, anomalies, and relationships within tourism data.
  • Academic research: Analysing international and domestic tourism dynamics in India.

Coverage

The dataset covers foreign visitor trends in India from 2014 to 2020. It includes data at a world level and specifically for the Asia and The Pacific Region, providing a broad geographic context. The demographic scope focuses on foreign tourists, overseas Indians, and crew members. Data is available for various countries of nationality.

License

CC0: Public Domain

Who Can Use It

This dataset is intended for:
  • Government agencies involved in tourism policy and statistics.
  • Tourism boards and marketing professionals for strategy development.
  • Researchers and analysts in fields like economics, sociology, and data science.
  • Students and educators for academic projects and learning.
  • Anyone interested in international and domestic tourism trends in India.

Dataset Name Suggestions

  • India International Tourism Statistics 2014-2020
  • Foreign Visitor Trends in India (2014-2020)
  • India Tourism Data: International & Domestic Flows
  • Quarterly Tourism Insights: India 2014-2020
  • Indian Tourism Performance Metrics

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

13/08/2025

REGION

ASIA

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format