20191219 12265300 1.0 TRUE TRUE 150000000 5000 Number of trains (for passengers) 2010 Number of trains (for passengers). Source: UNECE rail census data 2010 unece census Number of trains (for passengers). Source: UNECE rail census data 2010 UNECE 20191219 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