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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2021 | 2022 | Var % | Period | ||||
Austria | 4.150 | 1.090 | 490 | 410 | 30 | 1.560 | 480 | 810 | +68,8% | Jan - May '22 | ||||
Belgium | 36.570 | 56.430 | 56.330 | 54.650 | 70.190 | 40.220 | 24.760 | 17.210 | -30,5% | Jan - Jun '22 | ||||
Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Jun '22 | ||||
Croatia | (c) | (c) | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '22 | ||||
Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '22 | ||||
Czech Republic | 11.840 | 12.840 | 11.930 | 10.210 | 10.000 | 11.050 | 5.720 | 5.120 | -10,5% | Jan - Jun '22 | ||||
Denmark | 82.200 | 84.600 | 71.300 | 77.100 | 69.200 | 74.300 | 30.500 | 30.000 | -1,6% | Jan - May '22 | ||||
Estonia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Jun '22 | ||||
Finland | (c) | (c) | 400(i) | (c) | (c) | (c) | (c) | (c) | - | Jan - Jun '22 | ||||
France | 133.490 | 146.600 | 115.850 | 108.930 | 129.260 | 127.430 | 62.320 | 64.730 | +3,9% | Jan - Jun '22 | ||||
Germany | 256.322 | 256.609 | 287.703 | 288.775 | 283.386 | 292.194 | 148.937 | 131.149 (e) | -11,9% | Jan - Jun '22 | ||||
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '22 | ||||
Hungary | 0 | 0 | 0 | 0 | (c) | (c) | (c) | (c) | - | Jan - Jun '22 | ||||
Ireland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '22 | ||||
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Jun '22 | ||||
Latvia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Jun '22 | ||||
Lithuania | 40 | 0 | 620 | 280 | 670 | (c) | (c) | (c) | - | Jan - Jun '22 | ||||
Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '22 | ||||
Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '22 | ||||
Netherlands | 165.700 | 184.100 | 161.300 | 177.200 | 177.500 | 118.100 | 54.800 | 39.500 | -27,9% | Jan - May '22 | ||||
Poland | 32.710 | 28.130 | 30.930 | 33.520 | 29.940 | 30.540 | 16.140 | 15.830 | -1,9% | Jan - Jun '22 | ||||
Portugal | 7.840 | 7.010 | 7.660 | 9.120 | 9.180 | 11.010 | 5.090 | 4.610 | -9,4% | Jan - Jun '22 | ||||
Romania | 720(i) | 970 | 950 | 800 | 760 | 960 | 350 | 390 | - | Jan - May '22 | ||||
Slovakia | 1.200 | 600(i) | 80(i) | 190(i) | 70(i) | 710(i) | 430 | 370 (e) | - | Jan - Jun '22 | ||||
Slovenia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) (e) | - | Jan - Jun '22 | ||||
Spain | 26.800 | 9.140 | 12.990 | 11.680 | 12.570 | 14.910 | 5.830 | 9.620 | +65,0% | Jan - May '22 | ||||
Sweden | 31.670 | 23.920 | 34.470 | 34.560 | 29.400 | 29.400 | 12.250 | 12.250 | 0,0% | Jan - May '22 | ||||
TOTAL EU-27 | 789.332 | 810.469 | 791.573 | 806.435 | 821.326 | 750.714 | 326.434 | 301.899 (e) | -7,5% | Jan - May '22 | ||||
y-o-y % | +2,7% | -2,3% | +1,9% | +1,8% | -8,6% | |||||||||
(e) estimated data (i) incomplete data (c) confidential data NOTE:The data for the higlighted countries are confidential. These countries are not considered in the calculation of the total production. 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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