EU-28: Concentrated milk production
This page contains the European Concentrated milk 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 Concentrated milk production by Member States
- the monthly and average daily Concentrated milk production,
- the year-over-year changes of Concentrated milk production in the major EU Players,
- the yearly Concentrated milk production of the last seven years,
- the Concentrated milk production with rolling year
From the Eurostat Handbook: definition of "Concentrated milk"
A product obtained by partial elimination of water, from whole milk, semi-skimmed or skimmed milk only. Also includes evaporated milk (heat-treated) and concentrated milk with added sugar, Also includes concentrated milk used for the manufacture of “Chocolate crumb”, dried product consisting of milk, sugar and cocoa paste.
UE-28: Production of Concentrated milk (Tons) | ||||||||||||||
COUNTRY | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2018 | 2019 | Var % | Period | ||||
Austria | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Sep '19 | ||||
Belgium | 59.860 | 72.950 | 69.920 | 41.430 | 29.950 | 25.930 | 19.800 | 20.070 | +1,4% | Jan - Sep '19 | ||||
Bulgaria | 0 | 0 | 0 | (c) | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Croatia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '19 | ||||
Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '19 | ||||
Czech Republic | 11.270 | 10.340 | 11.210 | 11.950 | 13.040 | 8.730 | 7.430 | 7.010 | -5,7% | Jan - Oct '19 | ||||
Denmark | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '19 | ||||
Estonia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Finland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
France | 83.330 | 79.700 | 72.180 | 59.610 | 62.100 | 66.090 | 53.520 | 51.270 | -4,2% | Jan - Sep '19 | ||||
Germany | 400.280 | 412.740 | 411.940 | 351.440 | 372.650 | 332.810 | 271.250 | 276.190 | +1,8% | Jan - Oct '19 | ||||
Greece | 16.050 | 10.430 | 8.390 | 8.040 | 6.850 | 8.110 | 5.870 | 6.950 | +18,4% | Jan - Sep '19 | ||||
Hungary | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Oct '19 | ||||
Ireland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '19 | ||||
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '19 | ||||
Latvia | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Oct '19 | ||||
Lithuania | 13.250 | 16.200 | 13.690 | 13.470 | 24.060 | 30.650 | 27.400 | 14.380 | -47,5% | Jan - Oct '19 | ||||
Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Malta | (c) | (c) | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Netherlands | 360.500 | 382.000 | 407.700 | 372.400 | 367.000 | 344.100 | 250.000 | 286.900 | +14,8% | Jan - Sep '19 | ||||
Poland | 36.330 | 35.760 | 35.390 | 32.790 | 31.680 | 31.740 | 26.090 | 28.430 | +9,0% | Jan - Oct '19 | ||||
Portugal | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Romania | (c) | (c) | (c) | (c) | (c) | (c) | (c) | (c) | - | Jan - Oct '19 | ||||
Slovakia | 0 | 0 | (c) | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Slovenia | 0 | (c) | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Oct '19 | ||||
Spain | 77.270 | 68.540 | 55.670 | 34.650 | 31.340 | 33.510 | 25.310 | 25.050 | -1,0% | Jan - Sep '19 | ||||
Sweden | 0 | (c) | (c) | 0 | 0 | 0 | 0 | 0 | - | Jan - Sep '19 | ||||
United Kingdom | (c) | (c) | 89.800 | (c) | 99.600 | 119.500 | 91.600 | 100.800 | - | Jan - Sep '19 | ||||
TOTAL EU-28 | 1.058.140 | 1.088.660 | 1.086.090 | 925.780 | 938.670 | 881.670 | 648.710 | 684.080 | +5,5% | Jan - Sep '19 | ||||
y-o-y % | +2,9% | -0,2% | -14,8% | +1,4% | -6,1% | |||||||||
(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 |
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.