EU-27: Skimmed Milk Powder (SMP) production
This page contains the European Skimmed milk powder (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 Skimmed milk powder (SMP) production by Member States
- the monthly and average daily Skimmed milk powder (SMP) production,
- the year-over-year changes of Skimmed milk powder (SMP) production in the major EU Players,
- the yearly Skimmed milk powder (SMP) production of the last seven years,
- the Skimmed milk powder (SMP) production with rolling year
The balance sheet of Skimmed milk powder (SMP) completes the information.
From the Eurostat Handbook: definition of "Skimmed-milk powder"
Milk powder with a maximum milk fat content of 1,5 % by weight of the product.
UE-27: Production of Skimmed milk powder (SMP) (Tons) | ||||||||||||||
COUNTRY | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2024 | 2025 | Var % | Period | ||||
Austria | 3.920 | 8.870 | 4.980 | 5.450 | 5.240 | 5.690 | 1.950 | 1.760 (e) | -9,7% | Jan - Apr '25 | ||||
Belgium | 162.440 | 155.000 | 154.820 | 196.970 | 181.750 | 172.390 | 70.810 | 62.430 (e) | -11,8% | Jan - Apr '25 | ||||
Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Croatia | (c) | (c) | (c) | (c) | (c) | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Czech Republic | 17.380 | 19.930 | 18.210 | 17.120 | 16.620 | 14.110 | 5.530 | 4.350 | -21,3% | Jan - Apr '25 | ||||
Denmark | 54.700 | 50.700 | 41.200 | 38.500 | 31.300 | 33.300 | 11.900 | 8.500 (e) | -28,6% | Jan - Apr '25 | ||||
Estonia | 2.900(i) | (c) | (c) | (c) | (c) | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Finland | (c) | (c) | (c) | (c) | (c) | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
France | 415.520 | 408.830 | 403.710 | 380.270 | 371.260 | 377.040 | 137.290 | 139.300 (e) | +1,5% | Jan - Apr '25 | ||||
Germany | 392.784 | 416.505 | 352.798 | 351.512 | 347.215 | 328.555 | 117.589 | 122.854 (e) | +4,5% | Jan - Apr '25 | ||||
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Hungary | (c) | (c) | (c) | (c) | (c) | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Ireland | 134.360(i) | 132.510(i) | 133.480(i) | 157.140(i) | 143.750(i) | 121.320 | 28.010 | 22.360 (e) | - | Jan - Apr '25 | ||||
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Latvia | (c) | (c) | (c) | (c) | (c) | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Lithuania | 21.600 | 18.720 | 6.200(i) | 17.830(i) | 16.450(i) | 10.050 | 3.930 | 3.480 | - | Jan - Apr '25 | ||||
Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | - | ||||
Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Netherlands | 67.000 | 70.500 | 91.000 | 106.000 | 73.200 | 86.000 | 32.200 | 33.200 (e) | +3,1% | Jan - Apr '25 | ||||
Poland | 156.680 | 165.030 | 153.160 | 151.410 | 148.744 | 167.390 | 60.510 | 55.340 | -8,5% | Jan - Apr '25 | ||||
Portugal | 23.630 | 24.630 | 24.840 | 16.730 | 21.510 | 23.450 | 8.750 | 6.670 | -23,8% | Jan - Apr '25 | ||||
Romania | 800 | 630 | 1.310 | 1.460(i) | 170(i) | 80 | 0 | 0 | - | Jan - Apr '25 | ||||
Slovakia | 1.880(i) | 3.350 | 3.120(i) | 1.360(i) | (c) | 680 | 420 | 420 (e) | - | Jan - Apr '25 | ||||
Slovenia | (c) | (c) | (c) | (c) | (c) | 0 | 0 | 0 | - | Jan - Apr '25 | ||||
Spain | 12.960 | 22.520 | 11.130 | 5.930 | 4.680 | 3.710 | 1.460 | 1.980 | +35,6% | Jan - Apr '25 | ||||
Sweden | 42.310 | 36.420 | 36.650 | 37.090 | 36.400 | 35.620 | 12.530 | 12.550 (e) | +0,2% | Jan - Apr '25 | ||||
TOTAL EU-27 | 1.349.324 | 1.378.935 | 1.292.498 | 1.306.982 | 1.237.919 | 1.247.255 | 460.519 | 448.934 (e) | -2,5% | Jan - Apr '25 | ||||
y-o-y % | +2,2% | -6,3% | +1,1% | -5,3% | +0,8% | |||||||||
(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, 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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