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 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2024 | 2025 | Var % | Period | ||||
| Austria | 410 | 30 | 1.560 | 1.910 | 2.020 | 3.050 | 1.640 | 620 | -62,2% | Jan - Aug '25 | ||||
| Belgium | 54.650 | 70.190 | 40.220 | 26.780 | 40.480 | 32.280 | 26.160 | 27.350 | +4,5% | Jan - Sep '25 | ||||
| Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '25 | ||||
| Croatia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Aug '25 | ||||
| Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Aug '25 | ||||
| Czech Republic | 10.210 | 10.000 | 11.050 | 10.240 | 9.270 | 9.200 | 7.380 | 6.310 | -14,5% | Jan - Sep '25 | ||||
| Denmark | 77.100 | 69.200 | 74.300 | 63.800 | 54.700 | 49.800 | 33.200 | 33.800 | +1,8% | Jan - Aug '25 | ||||
| Estonia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Jun '25 | ||||
| Finland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Sep '25 | ||||
| France | 108.930 | 129.260 | 127.440 | 118.740 | 113.070 | 110.970 | 85.750 | 76.100 | -11,3% | Jan - Sep '25 | ||||
| Germany | 288.775 | 283.386 | 292.194 | 309.461 | 308.676 | 309.970 | 238.321 | 214.364(e) | -10,1% | Jan - Sep '25 | ||||
| Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Aug '25 | ||||
| Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '25 | ||||
| Ireland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Sep '25 | ||||
| Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Aug '25 | ||||
| Latvia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Jun '25 | ||||
| Lithuania | 280 | 670 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Sep '25 | ||||
| Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | - | ||||
| Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '25 | ||||
| Netherlands | 177.200 | 177.500 | 118.100 | 88.700 | 85.200 | 80.100 | 57.000 | 50.000 | -12,3% | Jan - Aug '25 | ||||
| Poland | 33.520 | 29.940 | 30.540 | 29.840 | 23.450 | 7.850 | 4.080 | 1.940(e) | -52,5% | Jan - Sep '25 | ||||
| Portugal | 9.120 | 9.180 | 11.010 | 8.540 | 8.760 | 9.770 | 7.480 | 7.380 | -1,3% | Jan - Sep '25 | ||||
| Romania | 800 | 760 | 960 | 760 | 760 | 390 | 170 | 170(e) | - | Jan - Aug '25 | ||||
| Slovakia | 190 | 70 | 710 | 160 | 0 | 70 | 70 | 70(e) | - | Jan - Sep '25 | ||||
| Slovenia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | (c) | - | Jan - Sep '25 | ||||
| Spain | 11.680 | 12.570 | 14.910 | 27.440 | 53.480 | 56.970 | 40.830 | 35.500 | -13,1% | Jan - Sep '25 | ||||
| Sweden | 34.560 | 29.400 | 29.400 | 29.400 | 29.400 | 29.400 | 19.600 | 19.600 | 0,0% | Jan - Aug '25 | ||||
| TOTAL EU-27 | 806.435 | 821.326 | 750.724 | 714.851 | 728.506 | 699.360 | 366.116 | 337.316 (e) | -7,9% | Jan - Jun '25 | ||||
| y-o-y % | +1,8% | -8,6% | -4,8% | +1,9% | -4,0% | |||||||||
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(e) estimated 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 |
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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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