Countries by international visitor arrivals (non-residents, overnight and same-day)
France had the highest international visitor arrivals (non-residents, overnight and same-day) of 35 countries in 2019, at 217.88 million. Iceland had the lowest, at 2.57 million. The median was 16.09 million. Source: the Organisation for Economic Co-operation and Development.
Map of countries, 2019
- Under 5M
- 5M to 11M
- 11M to 16M
- 16M to 32M
- 32M to 74M
- 74M and over
- No data
All countries, 2019
Full ranking
| Rank | Countries | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | France | 217,876,722 | +2.8% |
| 2 | United States | 165,477,034 | -2.3% |
| 3 | Spain | 126,170,086 | +1.4% |
| 4 | Mexico | 97,406,037 | +0.9% |
| 5 | Italy | 95,398,764 | +2.3% |
| 6 | Poland | 88,514,000 | +3% |
| 7 | Hungary | 58,618,707 | +5.7% |
| 8 | Türkiye | 51,747,199 | +12.2% |
| 9 | United Kingdom | 40,857,000 | +1.4% |
| 10 | Czechia | 37,201,838 | +2.6% |
| 11 | Greece | 34,004,558 | +2.8% |
| 12 | Canada | 32,429,771 | +3.7% |
| 13 | Japan | 31,882,049 | +2.2% |
| 14 | Denmark Series break | 22,423,651 | -25.5% |
| 15 | Saudi Arabia | 20,292,206 | +15.5% |
| 16 | South Korea | 17,502,756 | +14% |
| 17 | Indonesia | 16,106,954 | +1.9% |
| 18 | Slovakia | 16,086,663 | +5.1% |
| 19 | South Africa | 14,797,000 | -1.4% |
| 20 | Egypt | 13,026,441 | +14.8% |
| 21 | Romania | 12,815,430 | +9.3% |
| 22 | Bulgaria | 12,552,152 | +1.5% |
| 23 | Argentina | 11,131,528 | +7.1% |
| 24 | Australia | 9,465,900 | +2.4% |
| 25 | Latvia | 8,342,335 | +7.3% |
| 26 | Lithuania | 6,149,700 | +0.6% |
| 27 | Estonia | 6,102,646 | +1.2% |
| 28 | Chile | 5,431,054 | -17.8% |
| 29 | Peru | 5,275,266 | -2% |
| 30 | Israel | 4,904,600 | +11.7% |
| 31 | Colombia | 4,130,762 | +3.3% |
| 32 | New Zealand | 3,888,473 | +0.8% |
| 33 | Malta | 3,382,515 | +7.3% |
| 34 | Costa Rica | 3,378,301 | +2% |
| 35 | Iceland | 2,570,522 | -8% |
Other periods
About this ranking
Arrivals of non-resident visitors in the country in the year: tourists who stay at least one night and same-day visitors together, from frontier statistics or visitor surveys reported to the OECD. Each arrival counts, so a visitor who comes twice counts twice.
Overnight visitors alone are international_tourists. Countries count arrivals in different ways, at the border or from visitor surveys, and by country of residence or by nationality. Use the series to follow one country over time; gaps between countries partly reflect method. Only demand-side counts (frontier statistics and visitor surveys) are served; the OECD also lists guests registered at accommodation, which are a different measure.
Every value in the ranking comes from the same publisher and the same period, so the countries are compared on one definition. 4 countries with data in other periods have no value for 2019 and are left out rather than filled from another source. Equal values share a rank.
How to cite
OECD. OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND). https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU. Accessed 2026-10-12. Data reuse terms and downstream attribution: https://www.oecd.org/en/about/terms-conditions.htmlCitation styles
APA 7
Organisation for Economic Co-operation and Development. (2026). OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND) (Countries by international visitor arrivals (non-residents, overnight and same-day), 2019) [Data set]. Retrieved October 12, 2026, from https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU
MLA 9
OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND), Countries by international visitor arrivals (non-residents, overnight and same-day), 2019. Organisation for Economic Co-operation and Development, 12 Oct. 2026, https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU. Invokely, https://invokely.ai/rankings/international-visitor-arrivals/countries?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
Organisation for Economic Co-operation and Development. 2026. OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND). Countries by international visitor arrivals (non-residents, overnight and same-day), 2019. Dataset. Accessed October 12, 2026. https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU. Also distributed by Invokely, https://invokely.ai/rankings/international-visitor-arrivals/countries?period=2019.
Harvard
Organisation for Economic Co-operation and Development (2026) OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND), Countries by international visitor arrivals (non-residents, overnight and same-day), 2019 [Dataset]. Available at: https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU, via Invokely: https://invokely.ai/rankings/international-visitor-arrivals/countries?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{organisation_countries_by_international_visitor_2019,
author = {{Organisation for Economic Co-operation and Development}},
title = {{OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD\_TOURISM\_INTER@DF\_INBOUND): Countries by international visitor arrivals (non-residents, overnight and same-day), 2019}},
year = {2026},
howpublished = {Data set},
url = {https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/international-visitor-arrivals/countries?period=2019. Publisher attribution: OECD. OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD\_TOURISM\_INTER@DF\_INBOUND). https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ\&df[id]=DSD\_TOURISM\_INTER\%40DF\_INBOUND\&df[ag]=OECD.CFE.TOU. Accessed 2026-10-12. Data reuse terms and downstream attribution: https://www.oecd.org/en/about/terms-conditions.html.},
}
RIS
TY - DATA
AU - Organisation for Economic Co-operation and Development
TI - OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND): Countries by international visitor arrivals (non-residents, overnight and same-day), 2019
PY - 2026
DA - 2026/10/12
PB - Organisation for Economic Co-operation and Development
DB - Invokely
UR - https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU
L2 - https://invokely.ai/rankings/international-visitor-arrivals/countries?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/international-visitor-arrivals/countries?period=2019.
N1 - Publisher attribution: OECD. OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND). https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TOURISM_INTER%40DF_INBOUND&df[ag]=OECD.CFE.TOU. Accessed 2026-10-12. Data reuse terms and downstream attribution: https://www.oecd.org/en/about/terms-conditions.html.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank Countries by international visitor arrivals (non-residents, overnight and same-day) using official data, and cite the source.
rank_places {"indicator":"international_visitor_arrivals","level":"country","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=international_visitor_arrivals&level=country&limit=10Questions
Which country has the highest international visitor arrivals (non-residents, overnight and same-day)?
France, with 217.88 million in 2019, according to the Organisation for Economic Co-operation and Development.
Which country has the lowest international visitor arrivals (non-residents, overnight and same-day)?
Iceland, with 2.57 million in 2019.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Organisation for Economic Co-operation and Development, OECD Inbound tourism: arrivals of non-resident visitors, overnight and same-day, tourism demand surveys and frontier statistics (DSD_TOURISM_INTER@DF_INBOUND). Retrieved 2026-10-12. 4 countries have no value for 2019 and are not ranked.