EU-27: WMP production
This page contains the European Milk and cream powders (excl. SMP) production data, both in tables and charts.
The table offers as well the possibility to:
- consult the monthly volumes and changes, by clicking on the years in the column headers,
- access to the DairySheets by clicking on the names of the Member States of the EU.
The charts display:
- a breakdown of the Milk and cream powders (excl. SMP) production by Member States
- the monthly and average daily Milk and cream powders (excl. SMP) production,
- the year-over-year changes of Milk and cream powders (excl. SMP) production in the major EU Players,
- the yearly Milk and cream powders (excl. SMP) production of the last seven years,
- the Milk and cream powders (excl. SMP) production with rolling year
The balance sheet of Milk and cream powders (excl. SMP) completes the information.
From the Eurostat Handbook: definition of "Whole milk powder"
Milk powder with a milk fat content of not less than 26 % and less than 42 % by weight of the product.
UE-27: Production of Milk and cream powders (excl. SMP) (Tons) | ||||||||||||||
COUNTRY | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2022 | 2023 | Var % | Period | ||||
Austria | 1.090 | 490 | 410 | 30 | 1.560 | 1.910 | 1.450 | 1.290 | -11,0% | Jan - Sep '23 | ||||
Belgium | 56.430 | 56.330 | 54.650 | 70.190 | 40.220 | 26.780 | 21.420 | 27.780 | +29,7% | Jan - Sep '23 | ||||
Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Croatia | (c) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Czech Republic | 12.840 | 11.930 | 10.210 | 10.000 | 11.050 | 10.240 | 8.530 | 7.690 | -9,8% | Jan - Oct '23 | ||||
Denmark | 84.600 | 71.300 | 77.100 | 69.200 | 74.300 | 63.800 | 49.700 | 44.000 | -11,5% | Jan - Sep '23 | ||||
Estonia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Oct '23 | ||||
Finland | (c) | 400(i) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Oct '23 | ||||
France | 146.600 | 115.850 | 108.930 | 129.260 | 127.440 | 115.760 | 86.130 | 83.830 | -2,7% | Jan - Sep '23 | ||||
Germany | 256.609 | 287.703 | 288.775 | 283.386 | 292.194 | 309.461 | 240.406 | 214.623 (e) | -10,7% | Jan - Sep '23 | ||||
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Hungary | 0 | 0 | 0 | (c) | (c) | (c) | (c) | 70 | - | Jan - Oct '23 | ||||
Ireland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Latvia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Sep '23 | ||||
Lithuania | 0 | 620 | 280 | 670 | (c) | (c) | (c) | (c) | - | Jan - Oct '23 | ||||
Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '23 | ||||
Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 (e) | - | Jan - Oct '23 | ||||
Netherlands | 184.100 | 161.300 | 177.200 | 177.500 | 118.100 | 88.700 | 69.200 | 66.900 | -3,3% | Jan - Sep '23 | ||||
Poland | 28.130 | 30.930 | 33.520 | 29.940 | 30.540 | 29.840 | 21.960 | 19.680 | -10,4% | Jan - Sep '23 | ||||
Portugal | 7.010 | 7.660 | 9.120 | 9.180 | 11.010 | 8.540 | 6.640 | 6.470 | -2,6% | Jan - Sep '23 | ||||
Romania | 970 | 950 | 800 | 760 | 960 | 760(i) | 660 | 690 (e) | - | Jan - Sep '23 | ||||
Slovakia | 600(i) | 80(i) | 190(i) | 70(i) | 710(i) | 320(i) | 160 | 160 (e) | - | Jan - Oct '23 | ||||
Slovenia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Sep '23 | ||||
Spain | 9.140 | 12.990 | 11.680 | 12.570 | 14.910 | 27.440 | 18.230 | 39.320 | +115,7% | Jan - Sep '23 | ||||
Sweden | 23.920 | 34.470 | 34.560 | 29.400 | 29.400 | 29.400 | 22.050 | 22.050 | 0,0% | Jan - Sep '23 | ||||
TOTAL EU-27 | 810.469 | 791.573 | 806.435 | 821.326 | 750.724 | 711.871 | 544.906 | 532.923 (e) | -2,2% | Jan - Sep '23 | ||||
y-o-y % | -2,3% | +1,9% | +1,8% | -8,6% | -5,2% | |||||||||
(e) estimated data (i) incomplete data (c) confidential data NOTE:The countries highlighted in yellow indicate the presence of some confidential data which are not considered in the total calculation of productions. Source: Eurostat, Eurostat+BLE, Stimato CLAL |
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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