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| FOM108C - Hourly average gross earnings in the economy on section and division level, CANE Rev.3, unadjusted series |
| Definition |
The hourly average gross earnings is calculated by reporting the gross amounts paid from the salary fund, from the net profit and other funds, to the number of hours actually worked.
The time actually worked includes hours actually worked in normal working time as stipulated in the labour contract/agreement and overtime actually worked, both on working days over the normal working hours, as well as on weekly resting days, public holidays and other non-working days. |
| Periodicity |
Monthly |
| Data sources |
Monthly survey on earnings details |
| Methodology |
For details see FOM107G matrix - Monthly average gross earnings in the economy on section and division level, CANE Rev.3.
The hourly average earnings represent the ratio between amounts paid to the employees by the economic operators in the reference month and the number of man-hours for the actual worked period from the reference month (including overtime).
As a result of a new Classification of Activities in the National Economy (CANE Rev. 3- developed in accordance with the provisions of the Commission delegated Regulation (EU) 2023/137 amending Regulation (EC) No 1893/2006 of the European Parliament and of the Council establishing the statistical classification of economic activities NACE Revision 2) entering into force and as a consequence, the updating of the activity carried out by the economic agents, starting with the reference year 2026, INS collects, produces and disseminates statistical indicators based on this classification.
In order to ensure the comparability with previous periods, the monthly data related to the year 2025 regarding the earnings and the number of employees at the end of the month were estimated in accordance with CANE Rev.3 classification. The estimation method applied is based on a CANE Rev.2 - CANE Rev.3 conversion matrix, used for recoding active statistical units in the Statistical Register of Enterprises. The collection of information on CANE Rev.3 was achieved by using multiple data sources both administrative and statistical, with the aim of improving the quality of statistical data and ensuring a complete coverage of all of CANE Rev.3 classes. The conversion matrix thus constructed ensures methodological coherence and comparability of statistical data series. |
| Last update |
MAR 20, 2026 |
| Observations |
This matrix represents a continuation of the FOM108A matrix, containing data up to Year 2025, according to CANE Rev.2.
The data are operative. |
| Continuation |
This matrix represents a continuation of the FOM108A matrix, containing data up to December 2025. |
| Responsible person |
Cotirta Alin; e-mail:alin.cotirta@insse.ro; int. 2281 |
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