Estimation of the external trade in services quarterly data with monthly data
Released: 19 January 2026
The Hungarian Central Statistical Office (HCSO) started to develop its quarterly statistics on external trade in services with the aim of providing an estimate of Hungary’s external trade in services with monthly frequency based on data coming from VAT declarations. The Office is using, beside VAT declarations data, regression models, too, for estimating monthly external trade in services turnover, and intends to further increase their accuracy based on data collected in the traditional, quarterly way. This development is going to improve the timeliness of the trade in services data, contributing to the estimation of the balance of payments, too.
The basis of the estimation is data coming from T + 421 VAT declarations, where the HCSO is considering the turnover of the external trade in services, and is processing the import and export sides separately. The fact that the methodology applied during the traditional external trade in services data collection (OSAP 1470) contains items that are not obligatory to be reported by the respondents, however these sums are present within the data on VAT related traffic, is a difficulty in the estimation process. Incoming OSAP 1470 survey information reveal that such items exist at numerous companies, these are excluded by the Office, as outliers, from the turnover data of the companies’ VAT declarations. As such the organisations handing in VAT declarations have to be divided into two groups: respondents assigned and not assigned in the OSAP 1470 survey. In the case of the former, based on their turnover-explanations certain items from their VAT declarations are not used by the Office, when it comes to the latter, all external trade in services VAT declaration items are taken into account.
Contrary to previous expectations turnover data regarding external trade in services of businesses cannot be fully classified by groups of services based on EBOPS-TESZOR-TEÁOR categories. The reason is that the largest companies in our country engaged in foreign trade in services cannot be categorized into a business or transport service group based on their activities, as they are primarily manufacturing companies that provide and use various services. As a result, the office publishes only 1-1 main amount on both import and export sides.
Similar to the balance of payments statistics, data reported in present experimental statistic do not include the turnover data of special purpose enterprises (SCVs).
It must be noted that not a comprehensive external trade in services turnover is estimated based on VAT returns as data on the following service groups are not included in VAT returns:
- financial services
- insurance services
- government services
- travel
- FISIM (Financial Intermediation Services Indirectly Measured).
In addition to VAT returns, additional data sources are also necessary for an effective estimate. Such are, for example, bank card data, used on the import side to estimate household consumption; these are received – and processed - by the HCSO from the National Bank of Hungary. Based on these the HCSO prepares a forecast for the given quarter. In addition, airport data collected on the OSAP 1966 questionnaire also contribute in increasing the accuracy of the estimate in both traffic directions.
The office's future goals include the breakdown of the estimated total turnover data into major service groups in order to increase the accuracy of the estimate, furthermore the use of other data collected within the OSAP framework (monthly industrial statistics, external trade in goods as well as external trade in services prices) in the estimates.
Experiences so far
The external trade in services statistics performs a major revision between October and December of each year, having an impact on the previously published quarterly and annual data. VAT returns data are an important verification basis during the revision. Tables 1 and 2 illustrate what this means in regard to the data estimated on the basis of VAT returns data and produced based on the OSAP 1470 questionnaire.
Table 1
Difference between the quarterly aggregated indicator data estimated based on VAT returns and the balance of payments’ external trade in services data
(%)
Year
Quarter
Difference
External trade in services import
External trade in services export
2020
Q1
2.76%
0.52%
2020
Q2
8.94%
4.86%
2020
Q3
7.38%
6.09%
2020
Q4
–6.03%
–3.41%
2021
Q1
–5.95%
2.15%
2021
Q2
2.21%
2.62%
2021
Q3
4.71%
–0.88%
2021
Q4
–1.66%
–4.24%
2022
Q1
5.01%
2.35%
2022
Q2
6.53%
–1.52%
2022
Q3
4.58%
–3.79%
2022
Q4
–0.91%
–5.89%
2023
Q1
–1.94%
–0.30%
2023
Q2
3.26%
0.74%
2023
Q3
–1.79%
1.73%
2023
Q4
–1.21%
2.31%
2024
Q1
–4.18%
6.00%
2024
Q2
–1.07%
7.26%
2024
Q3
–5.02%
6.28%
2024
Q4
–3.23%
–2.61%
2025
Q1
0.06%
1.15%
2025
Q2
–3.64%
–2.69%
2025
Q3
–0.51%
1.69%
Table 2
Difference between the indicator data aggregated on a yearly level and the** **balance of payments’ external trade in services data
(%)
Year
Difference
External trade in services import
External trade in services export
2020
3.26%
2.02%
2021
–0.17%
–0.08%
2022
3.80%
–2.21%
2023
–0.42%
1.12%
2024
–3.37%
4.23%
The HCSO has set a target of ±5% deviation within the framework of present experimental statistics.
Table 3
Value of the external trade in services import*, thousand HUF
Month
2020
2021
2022
2023
2024
2025
January
335 719 711
389 446 067
390 464 619
526 993 297
517 019 055
502 942 903
February
296 376 449
298 178 733
379 101 478
543 979 850
559 787 970
530 844 075
March
576 581 725
692 623 843
742 502 283
896 157 751
922 444 734
919 031 256
April
293 647 991
332 124 563
443 542 985
497 034 594
535 788 240
503 867 655
May
264 086 854
307 420 394
466 050 795
493 528 870
556 660 585
558 083 082
June
439 110 752
629 723 810
778 612 152
858 923 862
911 383 968
871 061 772
July
293 095 235
383 169 881
516 577 559
542 034 371
621 685 314
602 478 942
August
282 108 447
353 349 097
482 131 741
506 706 788
578 531 571
569 721 341
September
510 759 924
640 582 051
838 190 588
858 369 224
954 187 332
852 659 951
October
326 221 634
398 821 946
539 829 588
490 902 870
587 417 035
November
375 896 272
467 382 082
594 785 838
590 686 008
629 535 524
December
732 039 502
862 880 565
1 117 390 416
985 049 234
1 043 777 319
* Estimated monthly data.
Table 4
Value of the external trade in services export*, thousand HUF
Month
2020
2021
2022
2023
2024
2025
January
327 123 099
257 332 053
354 510 852
545 985 505
487 783 827
547 941 320
February
322 608 809
271 025 237
372 640 913
510 473 666
502 021 652
505 119 860
March
853 837 128
898 092 437
1 129 354 246
1 403 163 957
1 422 002 694
1 439 562 085
April
287 462 259
345 249 737
523 999 367
541 159 757
569 057 891
601 529 880
May
251 558 247
329 990 348
523 798 673
554 015 854
535 351 632
632 107 626
June
675 865 073
890 663 210
1 215 005 755
1 344 603 616
1 344 302 403
1 423 114 851
July
339 394 871
414 378 836
572 942 585
582 106 585
593 146 464
654 623 376
August
284 822 431
373 974 893
609 031 664
579 000 888
539 454 677
571 705 982
September
744 425 964
939 449 661
1 318 457 973
1 300 824 833
1 453 891 571
1 486 175 094
October
385 107 012
396 490 844
589 342 290
521 512 334
661 729 343
November
344 785 578
440 179 154
604 014 854
580 563 549
645 238 663
December
883 402 931
1 171 666 406
1 592 044 804
1 447 919 424
1 663 826 044
* Estimated monthly data.
Figure 1
Figure 2
Footnotes
-
42th day following the base period. ↩
Released: 19 January 2026
The Hungarian Central Statistical Office (HCSO) started to develop its quarterly statistics on external trade in services with the aim of providing an estimate of Hungary’s external trade in services with monthly frequency based on data coming from VAT declarations. The Office is using, beside VAT declarations data, regression models, too, for estimating monthly external trade in services turnover, and intends to further increase their accuracy based on data collected in the traditional, quarterly way. This development is going to improve the timeliness of the trade in services data, contributing to the estimation of the balance of payments, too.
The basis of the estimation is data coming from T + 421 VAT declarations, where the HCSO is considering the turnover of the external trade in services, and is processing the import and export sides separately. The fact that the methodology applied during the traditional external trade in services data collection (OSAP 1470) contains items that are not obligatory to be reported by the respondents, however these sums are present within the data on VAT related traffic, is a difficulty in the estimation process. Incoming OSAP 1470 survey information reveal that such items exist at numerous companies, these are excluded by the Office, as outliers, from the turnover data of the companies’ VAT declarations. As such the organisations handing in VAT declarations have to be divided into two groups: respondents assigned and not assigned in the OSAP 1470 survey. In the case of the former, based on their turnover-explanations certain items from their VAT declarations are not used by the Office, when it comes to the latter, all external trade in services VAT declaration items are taken into account.
Contrary to previous expectations turnover data regarding external trade in services of businesses cannot be fully classified by groups of services based on EBOPS-TESZOR-TEÁOR categories. The reason is that the largest companies in our country engaged in foreign trade in services cannot be categorized into a business or transport service group based on their activities, as they are primarily manufacturing companies that provide and use various services. As a result, the office publishes only 1-1 main amount on both import and export sides.
Similar to the balance of payments statistics, data reported in present experimental statistic do not include the turnover data of special purpose enterprises (SCVs).
It must be noted that not a comprehensive external trade in services turnover is estimated based on VAT returns as data on the following service groups are not included in VAT returns:
- financial services
- insurance services
- government services
- travel
- FISIM (Financial Intermediation Services Indirectly Measured).
In addition to VAT returns, additional data sources are also necessary for an effective estimate. Such are, for example, bank card data, used on the import side to estimate household consumption; these are received – and processed - by the HCSO from the National Bank of Hungary. Based on these the HCSO prepares a forecast for the given quarter. In addition, airport data collected on the OSAP 1966 questionnaire also contribute in increasing the accuracy of the estimate in both traffic directions.
The office's future goals include the breakdown of the estimated total turnover data into major service groups in order to increase the accuracy of the estimate, furthermore the use of other data collected within the OSAP framework (monthly industrial statistics, external trade in goods as well as external trade in services prices) in the estimates.
Experiences so far
The external trade in services statistics performs a major revision between October and December of each year, having an impact on the previously published quarterly and annual data. VAT returns data are an important verification basis during the revision. Tables 1 and 2 illustrate what this means in regard to the data estimated on the basis of VAT returns data and produced based on the OSAP 1470 questionnaire.
| Year | Quarter | Difference | |
|---|---|---|---|
| External trade in services import | External trade in services export | ||
| 2020 | Q1 | 2.76% | 0.52% |
| 2020 | Q2 | 8.94% | 4.86% |
| 2020 | Q3 | 7.38% | 6.09% |
| 2020 | Q4 | –6.03% | –3.41% |
| 2021 | Q1 | –5.95% | 2.15% |
| 2021 | Q2 | 2.21% | 2.62% |
| 2021 | Q3 | 4.71% | –0.88% |
| 2021 | Q4 | –1.66% | –4.24% |
| 2022 | Q1 | 5.01% | 2.35% |
| 2022 | Q2 | 6.53% | –1.52% |
| 2022 | Q3 | 4.58% | –3.79% |
| 2022 | Q4 | –0.91% | –5.89% |
| 2023 | Q1 | –1.94% | –0.30% |
| 2023 | Q2 | 3.26% | 0.74% |
| 2023 | Q3 | –1.79% | 1.73% |
| 2023 | Q4 | –1.21% | 2.31% |
| 2024 | Q1 | –4.18% | 6.00% |
| 2024 | Q2 | –1.07% | 7.26% |
| 2024 | Q3 | –5.02% | 6.28% |
| 2024 | Q4 | –3.23% | –2.61% |
| 2025 | Q1 | 0.06% | 1.15% |
| 2025 | Q2 | –3.64% | –2.69% |
| 2025 | Q3 | –0.51% | 1.69% |
| Year | Difference | |
|---|---|---|
| External trade in services import | External trade in services export | |
| 2020 | 3.26% | 2.02% |
| 2021 | –0.17% | –0.08% |
| 2022 | 3.80% | –2.21% |
| 2023 | –0.42% | 1.12% |
| 2024 | –3.37% | 4.23% |
The HCSO has set a target of ±5% deviation within the framework of present experimental statistics.
| Month | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|
| January | 335 719 711 | 389 446 067 | 390 464 619 | 526 993 297 | 517 019 055 | 502 942 903 |
| February | 296 376 449 | 298 178 733 | 379 101 478 | 543 979 850 | 559 787 970 | 530 844 075 |
| March | 576 581 725 | 692 623 843 | 742 502 283 | 896 157 751 | 922 444 734 | 919 031 256 |
| April | 293 647 991 | 332 124 563 | 443 542 985 | 497 034 594 | 535 788 240 | 503 867 655 |
| May | 264 086 854 | 307 420 394 | 466 050 795 | 493 528 870 | 556 660 585 | 558 083 082 |
| June | 439 110 752 | 629 723 810 | 778 612 152 | 858 923 862 | 911 383 968 | 871 061 772 |
| July | 293 095 235 | 383 169 881 | 516 577 559 | 542 034 371 | 621 685 314 | 602 478 942 |
| August | 282 108 447 | 353 349 097 | 482 131 741 | 506 706 788 | 578 531 571 | 569 721 341 |
| September | 510 759 924 | 640 582 051 | 838 190 588 | 858 369 224 | 954 187 332 | 852 659 951 |
| October | 326 221 634 | 398 821 946 | 539 829 588 | 490 902 870 | 587 417 035 | |
| November | 375 896 272 | 467 382 082 | 594 785 838 | 590 686 008 | 629 535 524 | |
| December | 732 039 502 | 862 880 565 | 1 117 390 416 | 985 049 234 | 1 043 777 319 |
| Month | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|
| January | 327 123 099 | 257 332 053 | 354 510 852 | 545 985 505 | 487 783 827 | 547 941 320 |
| February | 322 608 809 | 271 025 237 | 372 640 913 | 510 473 666 | 502 021 652 | 505 119 860 |
| March | 853 837 128 | 898 092 437 | 1 129 354 246 | 1 403 163 957 | 1 422 002 694 | 1 439 562 085 |
| April | 287 462 259 | 345 249 737 | 523 999 367 | 541 159 757 | 569 057 891 | 601 529 880 |
| May | 251 558 247 | 329 990 348 | 523 798 673 | 554 015 854 | 535 351 632 | 632 107 626 |
| June | 675 865 073 | 890 663 210 | 1 215 005 755 | 1 344 603 616 | 1 344 302 403 | 1 423 114 851 |
| July | 339 394 871 | 414 378 836 | 572 942 585 | 582 106 585 | 593 146 464 | 654 623 376 |
| August | 284 822 431 | 373 974 893 | 609 031 664 | 579 000 888 | 539 454 677 | 571 705 982 |
| September | 744 425 964 | 939 449 661 | 1 318 457 973 | 1 300 824 833 | 1 453 891 571 | 1 486 175 094 |
| October | 385 107 012 | 396 490 844 | 589 342 290 | 521 512 334 | 661 729 343 | |
| November | 344 785 578 | 440 179 154 | 604 014 854 | 580 563 549 | 645 238 663 | |
| December | 883 402 931 | 1 171 666 406 | 1 592 044 804 | 1 447 919 424 | 1 663 826 044 |
Footnotes
-
42th day following the base period. ↩