4.6.9. Freight traffic of inland ports, volume of goods loaded or unloaded classified by type of goods*(3/3)

(tonnes)

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Period Mail, parcels Equipment and material utilized in the transport of goods Goods moved in the course of household and office removals, baggage transported separately from passengers, motor vehicles being moved for repair, other non-market goods n.e.c. Grouped goodsa Unidentifiable goodsb Other goods n.e.c. Total
Volume unloaded
2016. J–M 1 009 434 627
J–Ju 1 495 899 230
J–S 1 740 1 400 682
J–D 2 807 1 835 658
2017. J–M 533 266 567
J–Ju 1 597 774 464
J–S 2 317 1 448 310
J–D 2 880 2 107 337
2018. J–M 238 475 248
J–Ju 1 465 1 281 300
J–S 1 801 1 951 792
J–D 1 961 2 414 695
2019. J–M 238 636 764
J–Ju 238 1 488 823
J–S 1 186 2 246 126
J–D 2 175 2 859 937
2020. J–M 632 565 806
J–Ju 1 446 1 124 591
J–S 2 605 1 743 925
J–D 2 725 2 253 261
Volume loaded
2016. J–M 248 616 580
J–Ju 1 323 1 651 288
J–S 3 469 2 756 043
J–D 6 657 3 602 912
2017. J–M 1 451 602 729
J–Ju 3 943 1 762 311
J–S 6 022 2 818 332
J–D 12 904 3 691 508
2018. J–M 2 398 699 024
J–Ju 3 645 1 540 509
J–S 6 689 2 367 716
J–D 7 348 2 784 891
2019. J–M 683 889 440
J–Ju 3 971 1 797 601
J–S 5 777 2 539 236
J–D 6 428 8 3 204 374
2020. J–M 988 1 031 068
J–Ju 3 329 2 222 826
J–S 6 522 3 501 554
J–D 8 689 4 489 048
Total volume loaded and unloaded
2016. J–M 1 257 1 051 206
J–Ju 2 818 2 550 518
J–S 5 210 4 156 725
J–D 9 464 5 438 570
2017. J–M 1 983 869 296
J–Ju 5 540 2 536 775
J–S 8 339 4 266 642
J–D 15 784 5 798 845
2018. J–M 2 636 1 174 272
J–Ju 5 109 2 821 808
J–S 8 489 4 319 508
J–D 9 308 5 199 586
2019. J–M 922 1 526 204
J–Ju 4 210 3 286 424
J–S 6 963 4 785 362
J–D 8 602 8 6 064 312
2020. J–M 1 620 1 596 874
J–Ju 4 775 3 347 418
J–S 9 127 5 245 479
J–D 11 414 6 742 310
*Source: National Statistical Data Collection Programme (OSAP), Ministry for Innovation and Technology based on data collection No. 1857 titled Freight and vessel traffic of ports.  aA mixture of types of goods which are transported together.  bGoods which for any reason cannot be identified and therefore cannot be assigned to groups 01–16.  Preliminary data 

© Hungarian Central Statistical Office, 2011