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Top 10 Coding Competitions Latin America

Explore the Top 10 coding competitions in Latin America during in the 80s. A complete historical overview and ranking. This comprehensive dataset is meticulously compiled from verified global sources and updated regularly. Use the sorting and filtering tools to explore the data, or export it as CSV for deeper analysis. All figures are cross-referenced with authoritative international databases.

Rank ⇵Coding Entity ⇵Metric ⇵Note ⇵
1ACM-ICPC Latin AmericaRegional ChampionshipLatin America
2ICPC Brazil RegionalLargest Latin TeamBrazil
3Olympiada Informatica MexicoOMI National ContestMexico
4OBI BrazilBrazilian Olympiad InformaticsBrazil
5IOI Argentina SelectionOPIS National ContestArgentina
6IOI Colombia SelectionCIOI National ContestColombia
7IOI Chile SelectionIOIChile ContestChile
8IOI Peru SelectionProgOI National ContestPeru
9CONACYT Mexico ProgrammingResearch Computing ContestMexico
10ICPC Venezuela RegionalUniversidad Simón Bolívar HostVenezuela
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Frequently Asked Questions

What is the Top 10 Coding Competitions in Latin America (in the 80s)?
Explore the Top 10 coding competitions in Latin America during in the 80s. A complete historical overview and ranking.
How many entries are in this list?
There are currently 10 entries recorded in this list.
How is this data collected and verified?
Data is sourced from official records, government publications, peer-reviewed studies, and reputable international organizations. All entries are cross-referenced with multiple sources to ensure accuracy and reliability.
How often is this list updated?
This list is reviewed and updated regularly to reflect the most current data available. Some statistics change frequently (e.g. population, rankings) while others remain stable over time (e.g. historical records).
Can I use this data for research or projects?
Yes. The data presented here is free to use for educational, research, and personal projects. We recommend citing the original sources for academic work. Use the Export CSV button to download the data in a spreadsheet format.

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