EU-27: Skimmed Milk Powder (SMP) production
This page contains the European Skimmed milk powder 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 production by Member States
- the monthly and average daily Skimmed milk powder production,
- the year-over-year changes of Skimmed milk powder production in the major EU Players,
- the yearly Skimmed milk powder production of the last seven years,
- the Skimmed milk powder production with rolling year
The balance sheet of Skimmed milk powder 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 (Tons) | ||||||||||||||
COUNTRY | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2021 | 2022 | Var % | Period | ||||
Austria | 4.070 | 6.100 | 5.420 | 3.920 | 8.870 | 4.980 | 1.670 | 970 | -41,9% | Jan - Mar '22 | ||||
Belgium | 162.150 | 153.620 | 169.850 | 162.440 | 155.000 | 154.820 | 42.440 | 39.630 (e) | -6,6% | Jan - Mar '22 | ||||
Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Mar '22 | ||||
Croatia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Mar '22 | ||||
Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 (e) | - | Jan - Mar '22 | ||||
Czech Republic | 24.420 | 19.680 | 19.410 | 17.380 | 19.930 | 18.210 | 6.530 | 6.320 | -3,2% | Jan - Apr '22 | ||||
Denmark | 43.800 | 49.400 | 60.200 | 54.700 | 50.700 | 41.200 | 9.700 | 9.500 | -2,1% | Jan - Mar '22 | ||||
Estonia | 1.700 | 2.700(i) | 2.100(i) | 2.900(i) | (c) | (c) | (c) | (c) | - | Jan - Apr '22 | ||||
Finland | (c) | (c) | 3.900(i) | (c) | (c) | (c) | (c) | (c) | - | Jan - Apr '22 | ||||
France | 426.610 | 408.570 | 388.610 | 415.520 | 408.830 | 403.450 | 107.050 | 101.180 | -5,5% | Jan - Mar '22 | ||||
Germany | 435.630 | 430.400 | 414.217 | 392.784 | 416.505 | 352.778 | 102.791 | 88.004 (e) | -14,4% | Jan - Mar '22 | ||||
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Mar '22 | ||||
Hungary | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Mar '22 | ||||
Ireland | 117.740 | 119.760 | 133.850 | 134.360(i) | 132.510(i) | 133.480(i) | 11.360 | 9.990 | -12,1% | Jan - Mar '22 | ||||
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Mar '22 | ||||
Latvia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Mar '22 | ||||
Lithuania | 35.820 | 21.440 | 18.580 | 21.600 | 18.720 | 6.200(i) | 1.700 | 4.230 | +148,8% | Jan - Mar '22 | ||||
Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Mar '22 | ||||
Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '22 | ||||
Netherlands | 70.200 | 65.600 | 64.800 | 67.000 | 70.500 | 91.000 | 21.700 | 25.800 | +18,9% | Jan - Mar '22 | ||||
Poland | 142.670 | 144.560 | 164.230 | 156.680 | 165.030 | 153.160 | 38.760 | 41.280 | +6,5% | Jan - Mar '22 | ||||
Portugal | 18.980 | 20.740 | 20.790 | 23.630 | 24.630 | 24.840 | 5.990 | 6.150 | +2,7% | Jan - Mar '22 | ||||
Romania | 1.290 | 1.430 | 1.310(i) | 800 | 630 | 1.310 | 190 | 400 | - | Jan - Mar '22 | ||||
Slovakia | 1.930(i) | 1.190(i) | 1.470(i) | 1.880(i) | 3.350 | 3.120(i) | 1.310 | 1.250 (e) | - | Jan - Apr '22 | ||||
Slovenia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Mar '22 | ||||
Spain | 14.860 | 17.870 | 14.420 | 12.960 | 22.520 | 11.130 | 3.740 | 1.660 | -55,6% | Jan - Mar '22 | ||||
Sweden | 44.300 | 55.050 | 46.080 | 42.310 | 36.420 | 36.650 | 9.530 | 9.340 | -2,0% | Jan - Mar '22 | ||||
TOTAL EU-27 | 1.541.250 | 1.512.790 | 1.520.457 | 1.505.284 | 1.530.165 | 1.431.898 | 361.471 | 342.454 (e) | -5,3% | Jan - Mar '22 | ||||
y-o-y % | -1,8% | +0,5% | -1,0% | +1,7% | -6,4% | |||||||||
(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, 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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