[SITCM011.DG.WERTA] Meat of bovine animals, fresh, chilled or frozen – Germany – Exports: Value
Retrieved by DBnomics on June 18, 2025 (10:55 AM)
- from
- 2008-01=131,080
- to
- 2025-04=158,624
- min:
- 55,835
- max:
- 161,419
- avg:
- 116,850.611
- σ:
- 18,246.371
Loading chart
| Period | Value |
|---|---|
| 2008-01 | 131080 |
| 2008-02 | 132492 |
| 2008-03 | 121442 |
| 2008-04 | 134444 |
| 2008-05 | 127390 |
| 2008-06 | 148535 |
| 2008-07 | 144791 |
| 2008-08 | 124940 |
| 2008-09 | 161085 |
| 2008-10 | 131864 |
| 2008-11 | 108312 |
| 2008-12 | 115632 |
| 2009-01 | 122881 |
| 2009-02 | 127374 |
| 2009-03 | 103387 |
| 2009-04 | 116293 |
| 2009-05 | 127384 |
| 2009-06 | 114486 |
| 2009-07 | 131164 |
| 2009-08 | 119694 |
| 2009-09 | 113068 |
| 2009-10 | 127404 |
| 2009-11 | 105018 |
| 2009-12 | 128278 |
| 2010-01 | 124025 |
| 2010-02 | 105071 |
| 2010-03 | 125267 |
| 2010-04 | 115155 |
| 2010-05 | 96974 |
| 2010-06 | 125091 |
| 2010-07 | 106963 |
| 2010-08 | 120895 |
| 2010-09 | 132753 |
| 2010-10 | 138685 |
| 2010-11 | 161419 |
| 2010-12 | 152045 |
| 2011-01 | 131702 |
| 2011-02 | 123912 |
| 2011-03 | 132004 |
| 2011-04 | 149646 |
| 2011-05 | 150839 |
| 2011-06 | 146946 |
| 2011-07 | 133821 |
| 2011-08 | 125174 |
| 2011-09 | 152497 |
| 2011-10 | 128796 |
| 2011-11 | 132763 |
| 2011-12 | 135130 |
| 2012-01 | 131097 |
| 2012-02 | 124515 |
| 2012-03 | 141055 |
| 2012-04 | 126972 |
| 2012-05 | 135717 |
| 2012-06 | 138770 |
| 2012-07 | 124136 |
| 2012-08 | 132458 |
| 2012-09 | 130860 |
| 2012-10 | 125687 |
| 2012-11 | 117088 |
| 2012-12 | 127119 |
| 2013-01 | 117168 |
| 2013-02 | 107257 |
| 2013-03 | 137328 |
| 2013-04 | 128408 |
| 2013-05 | 122871 |
| 2013-06 | 121342 |
| 2013-07 | 118643 |
| 2013-08 | 133592 |
| 2013-09 | 124557 |
| 2013-10 | 109937 |
| 2013-11 | 109862 |
| 2013-12 | 117755 |
| 2014-01 | 118160 |
| 2014-02 | 110561 |
| 2014-03 | 106768 |
| 2014-04 | 122263 |
| 2014-05 | 114455 |
| 2014-06 | 122874 |
| 2014-07 | 122262 |
| 2014-08 | 103505 |
| 2014-09 | 115358 |
| 2014-10 | 112220 |
| 2014-11 | 107884 |
| 2014-12 | 114562 |
| 2015-01 | 109882 |
| 2015-02 | 99850 |
| 2015-03 | 121778 |
| 2015-04 | 103721 |
| 2015-05 | 111992 |
| 2015-06 | 117628 |
| 2015-07 | 121303 |
| 2015-08 | 105645 |
| 2015-09 | 123004 |
| 2015-10 | 101660 |
| 2015-11 | 102774 |
| 2015-12 | 110905 |
| 2016-01 | 104840 |
| 2016-02 | 100467 |
| 2016-03 | 119181 |
| 2016-04 | 97431 |
| 2016-05 | 105882 |
| 2016-06 | 109282 |
| 2016-07 | 106411 |
| 2016-08 | 100483 |
| 2016-09 | 114052 |
| 2016-10 | 97145 |
| 2016-11 | 102668 |
| 2016-12 | 112851 |
| 2017-01 | 91365 |
| 2017-02 | 99064 |
| 2017-03 | 111008 |
| 2017-04 | 99475 |
| 2017-05 | 116053 |
| 2017-06 | 117783 |
| 2017-07 | 101374 |
| 2017-08 | 106335 |
| 2017-09 | 116966 |
| 2017-10 | 104656 |
| 2017-11 | 103535 |
| 2017-12 | 112957 |
| 2018-01 | 101182 |
| 2018-02 | 97910 |
| 2018-03 | 110288 |
| 2018-04 | 104889 |
| 2018-05 | 101611 |
| 2018-06 | 107600 |
| 2018-07 | 105841 |
| 2018-08 | 108611 |
| 2018-09 | 103053 |
| 2018-10 | 105995 |
| 2018-11 | 103766 |
| 2018-12 | 96473 |
| 2019-01 | 106176 |
| 2019-02 | 93051 |
| 2019-03 | 102101 |
| 2019-04 | 102251 |
| 2019-05 | 108700 |
| 2019-06 | 97955 |
| 2019-07 | 105379 |
| 2019-08 | 100399 |
| 2019-09 | 99355 |
| 2019-10 | 103100 |
| 2019-11 | 99955 |
| 2019-12 | 96279 |
| 2020-01 | 96243 |
| 2020-02 | 93639 |
| 2020-03 | 85372 |
| 2020-04 | 55835 |
| 2020-05 | 60950 |
| 2020-06 | 90860 |
| 2020-07 | 94661 |
| 2020-08 | 88944 |
| 2020-09 | 95742 |
| 2020-10 | 82404 |
| 2020-11 | 66302 |
| 2020-12 | 84019 |
| 2021-01 | 73819 |
| 2021-02 | 66902 |
| 2021-03 | 90751 |
| 2021-04 | 86991 |
| 2021-05 | 85810 |
| 2021-06 | 98696 |
| 2021-07 | 109709 |
| 2021-08 | 105680 |
| 2021-09 | 107384 |
| 2021-10 | 113549 |
| 2021-11 | 125558 |
| 2021-12 | 115911 |
| 2022-01 | 93679 |
| 2022-02 | 108197 |
| 2022-03 | 130095 |
| 2022-04 | 129172 |
| 2022-05 | 143942 |
| 2022-06 | 139008 |
| 2022-07 | 134648 |
| 2022-08 | 142371 |
| 2022-09 | 137839 |
| 2022-10 | 121267 |
| 2022-11 | 133636 |
| 2022-12 | 131834 |
| 2023-01 | 130731 |
| 2023-02 | 115518 |
| 2023-03 | 144061 |
| 2023-04 | 117525 |
| 2023-05 | 130090 |
| 2023-06 | 135310 |
| 2023-07 | 128131 |
| 2023-08 | 128778 |
| 2023-09 | 127368 |
| 2023-10 | 122048 |
| 2023-11 | 120148 |
| 2023-12 | 117769 |
| 2024-01 | 115424 |
| 2024-02 | 116769 |
| 2024-03 | 129215 |
| 2024-04 | 134728 |
| 2024-05 | 135152 |
| 2024-06 | 131860 |
| 2024-07 | 142152 |
| 2024-08 | 133302 |
| 2024-09 | 139639 |
| 2024-10 | 138855 |
| 2024-11 | 138261 |
| 2024-12 | 136000 |
| 2025-01 | 143462 |
| 2025-02 | 127998 |
| 2025-03 | 160187 |
| 2025-04 | 158624 |
| Dimension | Dimension value |
|---|---|
| [SITC] SITC (3-digit codes): Foreign trade | [SITCM011] Meat of bovine animals, fresh, chilled or frozen |
| [DINSG] Germany | [DG] Germany |
| [ind] Indicator | [WERTA] Exports: Value |