socialtourismtraveltransportair-transportmigrationworld-bankpanel-datainternationaleconomics
International Tourism, Travel & Transport Statistics
1960–2023
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Not documented — confirm reuse terms with the seller
- Source / creator
- Supplier-cited: World Bank Open Data
- Collection method
- Supplier description: **Sources:** World Bank Open Data API — 25 indicator series compiled from World Development Indicators (WDI), International Tourism statistics (UNWTO via World Bank), ICAO air transport data, and UN Population Division migration estimates.
- Coverage / snapshot
- 1960–2023
- Data last updated
- Not documented
- Update schedule
- Not documented
Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Coverage is stated by the supplier; it has not been verified against every record in the full file.
Sample structure score: 72.1 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 22.1 / 50 | 137 of 310 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 30 / 30 | 137 of 137 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| country_code | 0 / 10 | string | 0 / 10 |
| country_name | 0 / 10 | string | 0 / 10 |
| year | 0 / 10 | number | 0 / 10 |
| international_tourism_arrivals | 7 / 10 | number | 0 / 3 |
| international_tourism_departures | 9 / 10 | number | 0 / 1 |
| tourism_receipts_usd | 9 / 10 | number | 0 / 1 |
| tourism_expenditures_usd | 8 / 10 | number | 0 / 2 |
| tourism_receipts_pct_exports | 9 / 10 | number | 0 / 1 |
| tourism_expenditures_pct_imports | 8 / 10 | number | 0 / 2 |
| tourism_receipts_travel_items_usd | 7 / 10 | number | 0 / 3 |
| tourism_expenditures_travel_items_usd | 7 / 10 | number | 0 / 3 |
| air_transport_passengers | 4 / 10 | number | 0 / 6 |
| air_transport_departures | 4 / 10 | number | 0 / 6 |
| air_transport_freight_million_ton_km | 4 / 10 | number | 0 / 6 |
| exports_goods_services_usd | 4 / 10 | number | 0 / 6 |
| imports_goods_services_usd | 4 / 10 | number | 0 / 6 |
| travel_services_pct_exports | 4 / 10 | number | 0 / 6 |
| travel_services_pct_imports | 4 / 10 | number | 0 / 6 |
| international_migrant_stock | 10 / 10 | unknown | 0 / 0 |
| international_migrant_stock_pct_pop | 10 / 10 | unknown | 0 / 0 |
| net_migration | 0 / 10 | number | 0 / 10 |
| railways_passengers_km | 9 / 10 | number | 0 / 1 |
| railways_freight_million_ton_km | 9 / 10 | number | 0 / 1 |
| container_port_traffic_teu | 8 / 10 | number | 0 / 2 |
| gdp_current_usd | 3 / 10 | number | 0 / 7 |
| gdp_per_capita_usd | 3 / 10 | number | 0 / 7 |
| population | 0 / 10 | number | 0 / 10 |
| tourism_intensity_per_1000 | 7 / 10 | number | 0 / 3 |
| tourism_receipts_pct_gdp | 9 / 10 | number | 0 / 1 |
| tourism_balance_usd | 9 / 10 | number | 0 / 1 |
| air_passengers_per_capita | 4 / 10 | number | 0 / 6 |
About this data
Panel dataset covering international tourism, air transport, surface transport, trade in services, and migration for 218 countries. Includes tourism arrivals/departures, receipts/expenditures, air passenger volumes, railway traffic, container port throughput, and derived indicators. Compiled from World Bank WDI, UNWTO, ICAO, and UN Population Division.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py a006b11c-c814-4f7a-84fc-2f73f65d7664 --output dataset.bin
Full supplier documentation
Original supplier listing: International Tourism, Travel & Transport Statistics (1960–2023)
Multi-source panel dataset covering international tourism, air transport, surface transport, trade in services, and international migration for 218 countries from 1960 to 2023. Contains 13,952 observations across 31 variables including tourism arrivals/departures, receipts/expenditures, air passenger volumes, railway traffic, container port throughput, and derived indicators like tourism intensity per capita and tourism balance.
**Sources:** World Bank Open Data API — 25 indicator series compiled from World Development Indicators (WDI), International Tourism statistics (UNWTO via World Bank), ICAO air transport data, and UN Population Division migration estimates.
**Key Features:**
- 218 countries and territories
- 64-year time span (1960–2023)
- 8 core tourism indicators (arrivals, departures, receipts, expenditures)
- 3 air transport indicators (passengers, departures, freight)
- 2 surface transport indicators (railways passengers, freight)
- 5 trade & services indicators
- 3 migration indicators
- 4 derived analytical indicators (tourism intensity, receipts % GDP, tourism balance, air passengers per capita)
- GDP, GDP per capita, and population for contextual analysis
**Format:** Wide panel — one row per country-year, all indicators as columns. Missing values left blank (not all indicators available for all country-years).
**Use Cases:** Tourism economics research, travel industry analysis, transport infrastructure comparisons, international mobility trends, COVID-19 impact studies on global tourism, development economics.
Schema
| Name | Type | Description |
|---|---|---|
| country_code | string | |
| country_name | string | |
| year | string | |
| international_tourism_arrivals | string | |
| international_tourism_departures | string | |
| tourism_receipts_usd | string | |
| tourism_expenditures_usd | string | |
| tourism_receipts_pct_exports | string | |
| tourism_expenditures_pct_imports | string | |
| tourism_receipts_travel_items_usd | string | |
| tourism_expenditures_travel_items_usd | string | |
| air_transport_passengers | string | |
| air_transport_departures | string | |
| air_transport_freight_million_ton_km | string | |
| exports_goods_services_usd | string | |
| imports_goods_services_usd | string | |
| travel_services_pct_exports | string | |
| travel_services_pct_imports | string | |
| international_migrant_stock | string | |
| international_migrant_stock_pct_pop | string | |
| net_migration | string | |
| railways_passengers_km | string | |
| railways_freight_million_ton_km | string | |
| container_port_traffic_teu | string | |
| gdp_current_usd | string | |
| gdp_per_capita_usd | string | |
| population | string | |
| tourism_intensity_per_1000 | string | |
| tourism_receipts_pct_gdp | string | |
| tourism_balance_usd | string | |
| air_passengers_per_capita | string |
Sample Data
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For AI Agents
Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "International Tourism, Travel " })
// Found: a006b11c-c814-4f7a-84fc-2f73f65d7664
get_download_url({ dataset_id: "a006b11c-c814-4f7a-84fc-2f73f65d7664" }) // free — sign in with MCP OAuth firstVia REST API
# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/a006b11c-c814-4f7a-84fc-2f73f65d7664/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"