OIV Statistics Database — World & Country Statistics

The book of record for global vitiviniculture. The OIV Statistics Database is compiled by the International Organisation of Vine and Wine, the intergovernmental body whose member states produce most of the world's wine, and harmonised with the FAO's Statistics Division - so a hectare of vines or a hectolitre of wine means the same thing in every row, whether the row is France, Chile or the world aggregate.

The subject splits four ways, and all four ride in one observation shape: area under vines in hectares, production of wine, table grapes and dried grapes, consumption as apparent use in hectolitres, and trade as export volumes, export values and re-exports. Coverage runs at world, regional and national level across members and major non-member producers - roughly 50+ producing and consuming countries beside the aggregates.

Around the core sits a publication calendar worth knowing: the World Wine Production Outlook each October with preliminary estimates for the current campaign, the State of the World Vine and Wine Sector report each April covering the prior year, a Statistical Brief on Wine Table Grapes and Dried Grapes, an online Statistical Yearbook whose dropdown lists 1999 through 2014, and Thematical Focus studies running 2014 to 2025 on re-exportation hubs, production and consumption by colour, organic vineyards and sparkling wine. Where this sits among its industry peers is mapped on our data processing outsourced services data hub.

Illustrative rows in the delivered shape - one statistic set per country per year:

country                : reporting country | 'World'
year                   : reference year
area_under_vines       : hectares
wine_production        : hectolitres (excluding juice and must where noted)
wine_consumption       : hectolitres, apparent use
table_grape_production : volume
dried_grape_production : volume
exports_volume         : hectolitres or tonnes
exports_value          : current currency units
re_exports             : hub-country volumes

Read the anatomy rather than the placeholders. Every record carries two keys - which country, which year - and then the measured variables hang off them in fixed positions, so a ten-vintage comparison for one market is a filter rather than a reassembly job. Because world aggregates sit beside national rows under the same schema, share-of-world arithmetic needs no second source. Live values for the countries, variables and years you name arrive with your sample.

Ten documented fields define every delivered record, fully typed below - two keys, six measures and two trade columns. The definitions ship with an inferred confidence flag and are re-verified against live output before any sample goes out, so the first delivery matches the dictionary you evaluated against.

Additional fields on request: the wider program extends past the core ten. Colour splits for production and consumption, organic-vineyard area and sparkling-wine series come from the Thematical Focus studies; import-side volumes and values mirror the export columns; and per-publication vintage flags tie rows back to the October outlook or April sector report. Tell us the model and we confirm the column set against delivery.

• Geography - global, regional and national level across the organisation's members and major non-member producers. World aggregates sit in the same table as national rows, so benchmarking a single market against the planet is one join, not one procurement.
• Time - three layers with different depths: the online Statistical Yearbook lists 1999 through 2014; Thematical Focus briefs run 2014 to 2025; and the outlook reports reference the 2024/2025 campaigns. The rhythm is annual, with preliminary current-campaign estimates arriving each October and the full prior-year picture each April.
• Granularity - one row per country per year per variable, with world aggregates. There is no sub-national or firm-level dimension; the finest cut is the country, which is precisely what makes cross-market comparisons clean.

That country-year grain is the quiet asset here: it turns the service into a ready-made country-year panel for anything from vintage-cycle features to long-run consumption trends.

API, files, or your warehouse. Daily, weekly, or hourly.

• Wine market sizing - official vineyard area, production, consumption and trade figures give national and world market maps a defensible denominator before any forecast layer goes on top; see our market sizing use case.
• Vintage-cycle and demand modelling - country-year production and consumption series feed forecasting models where the annual rhythm is a feature, not a bug; see the demand forecasting use case.
• Producer-share benchmarking - country production shares show which producer markets a competitor or category depends on, and how that dependence moves between campaigns; see the competitor tracking use case.
• Citation-grade evidence - intergovernmental provenance with documented methodology changes makes the numbers safe to print, cite or defend in review; see the citation-grade research use case.
• Supply-side inputs to beverage models - wine balances anchor sector screens and exposure work the same way output statistics anchor any agri-commodity thesis.

Market researchers and consultants (relevance 3) get the sizing layer for wine-market decks - world and national volumes under one methodology; see market researchers use cases. Journalists, academics and students (relevance 3) get the citable intergovernmental source for production and consumption trends, with a glossary and update history behind every figure; see journalists academics use cases. Investors and quants (relevance 2) get supply-side inputs for beverages models - production, consumption and trade balances as exogenous vintage-cycle features; see investors quants use cases. Data scientists (relevance 2) feed forecasting pipelines with tidy country-year rows instead of transcribing dashboards; see data scientists use cases. Competitive-intel teams (relevance 2) benchmark which producer markets rivals depend on; see competitive intel use cases, and e-commerce operators watch production-versus-consumption gaps for vintage-driven repricing pressure.

Within Datadory's catalog the natural companions split into two families. The publisher's own registries - the OIV Databases Hub GI/AO & Vine Varieties - carry the names side of vitiviniculture: geographical indications, appellations of origin and the catalogue of vine varieties, while this record carries the numbers. On the macro side, services-trade series such as BEA's iTable, UNCTADstat and World Bank ICT exports measure the data-processing industry this catalog files them under, not the wine sector, so they complement rather than substitute.

What no substitute offers: one harmonised methodology across roughly 50+ countries covering vines, wine, table grapes and dried grapes together - including the dried-grape and re-export angles most wine datasets drop. The head-to-head against a vendor directory is settled on our Outsource Accelerator vs OIV Statistics Database comparison, and the full slate sits on the best data-processing-outsourced-services datasets ranking.

Three things worth settling upfront.

First, cadence versus need: the publication rhythm is annual - October brings preliminary current-campaign estimates, April brings the full prior-year picture - so treat the dataset as the benchmarking instrument and pair a faster feed when decisions run on freshness. Datadory delivers on your schedule either way.

Second, window selection differs by layer: the online yearbook lists 1999-2014, the thematic briefs run 2014-2025, and the outlook series speaks to the 2024/2025 campaigns. State the span your analysis needs and the sample gets cut to exactly that window.

Third, scope confirmation: the exact country list and latest available year per variable vary by measure, so we confirm both against the extract during evaluation rather than quoting a blanket number. Field definitions carry an inferred flag until they are re-verified against your sample - nothing reaches production unconfirmed.