CLAL.it outlines the import and export trade flows of Cheese, Butter and AMF, Milk Powders, Whey and WPC, Condensed Milk, Packed and Bulk Milk, Lactose, Casein and Caseinates by the main international players.
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CLAL.it provides with some training paths, updated in real-time and useful to market analysis during workshops and project works.
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CLAL.it provides with a snapshot of the Milk production and livestock (cow, buffalo, goat, sheep, camel) and a number of interactive maps that visualize Milk Self-sufficiency worldwide.
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CLAL News is an information service on the national and international dairy market, developed by the CLAL Team and Leo Bertozzi.
The information is addressed to all operators in the sector and concerns the market, product innovation, the strategies of the major companies and retailers.
On the right you can find the latest news in English language.
CLAL News is mobile-friendly: use the QR code to access from your smartphone
Milk deliveries are the primary operational flow driving the dairy supply chain and represent a leading indicator for shifts in supply-demand dynamics within the sector.
This analysis provides a monthly breakdown of raw cow’s milk deliveries in Italy at regional and provincial level, enabling detailed monitoring of production trends and comparative analysis across the country’s local areas.
The data refer to conventional cow’s milk, span a long historical series, and are sourced from AGEA (Agenzia per le Erogazioni in Agricoltura).
Farm-gate milk prices in France » Organic milk prices in France »
| 1032 | ||||||||||||||
| Milk deliveries in 1031 with breakdown by Regions of France (million liters) | ||||||||||||||
| Regions | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total 1031 | ± on 1030 * |
| France | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total 1031 | |
| Total France 1031 | - | - | - | - | - | - | - | - | - | - | - | - | 0 | |
| % Change on 1030 | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Total France 1030 | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Organic Milk deliveries in 1031 with breakdown by France Departments (million liters) | ||||||||||||||
| Departments | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total 1031 | ± on 1030 * |
| Auvergne-Limousin | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Centre | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Charente-Poitou | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Grand Est | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Grand Ouest | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Nord-Picardie | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Normandie | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Sud-Est | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Sud-Ouest | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | n.d. |
| Organic Milk deliveries in 1031 with breakdown by France Regions (million liters) | ||||||||||||||
| Regions | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total 1031 | ± on 1030 * |
| France | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total 1031 | |
| Total Organic milk 1031 | - | - | - | - | - | - | - | - | - | - | - | - | 0 | |
| % Change on 1030 | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Total Organic milk 1030 | - | - | - | - | - | - | - | - | - | - | - | - | 0 | |
|
Last update: 11-07-2026 * % change from same period of previous year. Source: FranceAgriMer |
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Rolling year: for each month the chart visualizes the production in that month plus the production of the previous 11 months. With this method is always considered the total production in a time window of 12 months, so it is possible to identify the trend without the effect of seasonality.
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