[A_A0E0D0V] Total Losses
Updated on DBnomics on January 21, 2024 (1:52 PM).
[freq] Frequency
- [A] annual
[unit] Unit
- [100_million_yuan] 100 million yuan
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Frequency [freq] (1)
Unit [unit] (1)
This dataset has 42 series:
Series code | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
[A0E0D0V0B] | 48.34 | 45.71 | 42.53 | 36.92 | 32.85 | 45.97 |
[A0E0D0V0C] | 0 | 0 | NA | 0.23 | NA | NA |
[A0E0D0V0D] | 32.5 | 27.16 | 21.6 | 18.71 | 22.64 | 28.91 |
[A0E0D0V0E] | 30.49 | 24.6 | 19.61 | 22.37 | 22.42 | 25.64 |
[A0E0D0V0F] | 10.89 | 16.25 | 14.73 | 11.26 | 24.13 | 22.74 |
[A0E0D0V0G] | 4.8 | 4.66 | 3.15 | 3.54 | 4.42 | 3.86 |
[A0E0D0V0H] | 9.3 | 9.26 | 7.99 | 7.51 | 11.47 | 9.31 |
[A0E0D0V0I] | 35.7 | 31.56 | 33.9 | 16.45 | 23.98 | 28.29 |
[A0E0D0V0J] | 5.98 | 6.84 | 9.76 | 7.36 | 7.82 | 7.15 |
[A0E0D0V0K] | 11.44 | 13.81 | 14.89 | 13.18 | 18.42 | 12.87 |
Showing results 11 - 20 / 42