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EU-28: Drinking Milk production

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This page contains the European Drinking 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 Drinking milk production by Member States
  • the monthly and average daily Drinking milk production,
  • the year-over-year changes of Drinking milk production in the major EU Players,
  • the yearly Drinking milk production of the last seven years,
  • the Drinking milk production with rolling year

From the Eurostat Handbook: definition of "Drinking milk"

Raw milk, whole milk, semi-skimmed and skimmed milk containing no additives. Relates only to milk directly intended for consumption, normally in containers of 2 l or less. Also includes milk with vitamin additives.

UE-28: Production of Drinking milk (Tons)
COUNTRY 2013 2014 2015 2016 2017 2018 2018 2019 Var % Period
Austria 786.500 739.700 757.460 786.330 781.980 796.300 595.300 578.870 -2,8% Jan - Sep '19
Belgium 747.350 718.070 723.480 688.770 678.260 673.130 503.600 492.880 -2,1% Jan - Sep '19
Bulgaria 71.480 73.680 80.080 68.370 66.110 74.950 55.710 55.870 +0,3% Jan - Sep '19
Croatia 256.810 241.150 234.450 223.410 222.560 217.550 164.660 169.430 +2,9% Jan - Sep '19
Cyprus 69.370 66.960 69.410 65.620 87.160 112.330 83.600 68.570 -18,0% Jan - Sep '19
Czech Republic 648.530 648.820 670.620 636.180 650.160 635.420 474.310 450.740 -5,0% Jan - Sep '19
Denmark 491.700 501.900 521.200 520.600 518.000 514.600 381.600 381.400 -0,1% Jan - Sep '19
Estonia 87.600 90.700 95.500 99.200 100.200 104.700 78.100 79.400 +1,7% Jan - Sep '19
Finland 735.160 727.880 697.040 672.590 641.610 618.330 460.600 440.760 -4,3% Jan - Sep '19
France 3.572.050 3.390.910 3.298.530 3.294.440 3.229.530 3.102.590 2.299.360 2.249.740 -2,2% Jan - Sep '19
Germany 5.162.260 5.250.520 4.980.450 4.993.060 4.743.280 4.646.120 3.444.200 3.378.130 -1,9% Jan - Sep '19
Greece 455.100 435.200 434.300 439.200 418.800 401.250 301.750 293.000 (e)

 -2,9% Jan - Sep '19
Hungary 399.220 432.730 462.210 512.960 525.740 520.260 384.760 398.840 +3,7% Jan - Sep '19
Ireland 493.430 496.610 523.000 542.750 554.120 530.700 394.960 415.210 +5,1% Jan - Sep '19
Italy 2.563.060 2.547.710 2.511.020 2.427.950 2.459.030 2.425.430 1.794.690 1.744.290 (e)

 -2,8% Jan - Sep '19
Latvia 61.090 56.180 56.230 61.980 55.850 42.080 30.540 35.030 +14,7% Jan - Sep '19
Lithuania 96.340 97.340 94.370 93.490 89.190 87.480 66.120 65.150 -1,5% Jan - Sep '19
Luxembourg (c) (c) (c) (c) (c) (c) (c) (c) - Jan - Sep '19
Malta (c) (c) (c) (c) (c) (c) (c) (c) - Jan - Oct '19
Netherlands (c) (c) (c) (c) (c) (c) (c) (c) - Jan - Sep '19
Poland 1.593.220 1.589.940 1.650.170 1.658.360 1.732.690 1.776.800 1.311.020 1.400.100 +6,8% Jan - Sep '19
Portugal 837.510 832.700 741.410 715.850 720.660 766.240 584.620 533.410 -8,8% Jan - Sep '19
Romania 219.530 251.960 260.510 276.380 289.960 306.220 226.060 240.170 +6,2% Jan - Sep '19
Slovakia 320.200 287.250 284.270 251.160 248.420 242.920 185.830 167.820 -9,7% Jan - Sep '19
Slovenia 152.980 154.580 155.240 157.140 177.040 168.030 127.340 123.130 -3,3% Jan - Sep '19
Spain 3.636.350 3.526.650 3.642.830 3.564.340 3.607.910 3.257.010 2.527.090 2.315.820 -8,4% Jan - Sep '19
Sweden 843.390 810.030 815.090 800.020 765.080 754.110 569.450 551.020 -3,2% Jan - Sep '19
United Kingdom 6.992.300 7.164.400 6.854.000 6.631.600 6.910.700 6.783.180 5.045.670 4.779.700 -5,3% Jan - Sep '19
TOTAL EU-28 31.292.530 31.133.570 30.612.870 30.181.750 30.274.040 29.557.730 22.090.940 21.408.480 (e) -3,1% Jan - Sep '19
y-o-y % -0,5% -1,7% -1,4% +0,3% -2,4%      
(e) estimated 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, ISTAT, 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.