EU-27: 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 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2022 | 2023 | Var % | Period | ||||
Austria | 6.100 | 5.420 | 3.920 | 8.870 | 4.980 | 5.450 | 340 | 660 | +94,1% | Jan '23 | ||||
Belgium | 153.620 | 169.850 | 162.440 | 155.000 | 154.820 | 195.760 | 15.770 | 17.050 | +8,1% | Jan '23 | ||||
Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan '23 | ||||
Croatia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan '23 | ||||
Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan '23 | ||||
Czech Republic | 19.680 | 19.410 | 17.380 | 19.930 | 18.210 | 17.120 | 1.580 | 1.650 | +4,4% | Jan '23 | ||||
Denmark | 49.400 | 60.200 | 54.700 | 50.700 | 41.200 | 38.500 | 3.200 | 3.400 | +6,3% | Jan '23 | ||||
Estonia | 2.700(i) | 2.100(i) | 2.900(i) | (c) | (c) | (c) | (c) | (c) | - | Jan '23 | ||||
Finland | (c) | 3.900(i) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan '23 | ||||
France | 408.570 | 388.610 | 415.520 | 408.830 | 403.710 | 369.950 | 32.550 | 30.840 | -5,3% | Jan '23 | ||||
Germany | 430.400 | 414.217 | 392.784 | 416.505 | 352.798 | 351.512 | 28.824 | 28.824 (e) | 0,0% | Jan '23 | ||||
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan '23 | ||||
Hungary | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan '23 | ||||
Ireland | 119.760 | 133.850 | 134.360(i) | 132.510(i) | 133.480(i) | 157.140(i) | 5.210 | 5.920 | - | Jan '23 | ||||
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan '23 | ||||
Latvia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan '23 | ||||
Lithuania | 21.440 | 18.580 | 21.600 | 18.720 | 6.200(i) | 17.830(i) | (c) | (c) | - | Jan '23 | ||||
Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan '23 | ||||
Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan '23 | ||||
Netherlands | 65.600 | 64.800 | 67.000 | 70.500 | 91.000 | 106.000 | 8.700 | 8.000 | -8,0% | Jan '23 | ||||
Poland | 144.560 | 164.230 | 156.680 | 165.030 | 153.160 | 151.410 | 13.780 | 13.150 | -4,6% | Jan '23 | ||||
Portugal | 20.740 | 20.790 | 23.630 | 24.630 | 24.840 | 16.730 | 2.180 | 1.190 | -45,4% | Jan '23 | ||||
Romania | 1.430 | 1.310(i) | 800 | 630 | 1.310 | 1.570(i) | 90 | 90 (e) | 0,0% | Jan '23 | ||||
Slovakia | 1.190(i) | 1.470(i) | 1.880(i) | 3.350 | 3.120(i) | 2.270(i) | (c) | (c) | - | Jan '23 | ||||
Slovenia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan '23 | ||||
Spain | 17.870 | 14.420 | 12.960 | 22.520 | 11.130 | 5.930 | 560 | 490 | -12,5% | Jan '23 | ||||
Sweden | 55.050 | 46.080 | 42.310 | 36.420 | 36.650 | 37.090 | 3.080 | 3.130 | +1,6% | Jan '23 | ||||
TOTAL EU-27 | 1.373.020 | 1.369.337 | 1.350.124 | 1.379.565 | 1.293.808 | 1.297.022 | 110.654 | 108.474 (e) | -2,0% | Jan '23 | ||||
y-o-y % | -0,3% | -1,4% | +2,2% | -6,2% | +0,2% | |||||||||
(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, 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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