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For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT |
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1.1. Contact organisation | Statistics Netherlands |
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1.2. Contact organisation unit | National Accounts |
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1.5. Contact mail address | r.mosterd @ cbs.nl and s.schenau@cbs.nl |
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2.1. Metadata last certified | 29/09/2023 | ||
2.2. Metadata last posted | 29/09/2023 | ||
2.3. Metadata last update | 29/09/2023 |
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3.1. Data description | |||
Physical energy flow accounts (PEFA) is one module of the European environmental-economic accounts - Regulation (EU) 691/2011 Annex VI. PEFA record the flows of energy (in terajoules) from the environment to the economy (natural inputs), within the economy (products), and from the economy back to the environment (residuals), using the accounting framework of physical supply and use tables. PEFA provide information on energy flows arranged in a way fully compatible with concepts, principles, and classifications of national accounts – thus enabling integrated analyses of environmental, energy and economic issues e.g. through environmental-economic modelling. PEFA complement the traditional energy statistics, balances and derived indicators which are the main reference data source for EU energy policies.
The PEFA questionnaire is available on Eurostat's website: https://ec.europa.eu/eurostat/web/environment/methodology |
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3.2. Classification system | |||
Physical energy flow accounts (PEFA) datasets have the following dimensions:
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3.3. Coverage - sector | |||
The data set covers the entire national economy as defined in national accounts (ESA 2010, paragraph 2.04), as well as its physical relation to economies in the rest of the world and the environment.
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3.4. Statistical concepts and definitions | |||
Physical energy flow accounts (PEFA) are conceptually rooted in the System of Environmental-Economic Accounting (SEEA) which is an international statistical standard. The SEEA central framework provides standard concepts, definitions, classifications, accounting rules and tables for the provision of statistics on the environment and its relationship with the economy. |
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3.5. Statistical unit | |||
Data refer to activities of resident economic units in the sense of SEEA CF 2012 and national accounts (ESA), including households. |
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3.6. Statistical population | |||
The national economy is as defined in SEEA CF 2012 and national accounts (ESA); i.e. all economic activities undertaken by resident units (see ESA 2010, paragraph 2.04). A unit is said to be a resident unit of a country when it has a centre of economic interest in the economic territory of that country, that is, when it engages for an extended period (1 year or more) in economic activities in that territory. |
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3.7. Reference area | |||
The Netherlands |
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3.8. Coverage - Time | |||
2014 - 2021 |
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3.9. Base period | |||
Not applicable. |
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The unit of measure is terajoule (TJ). |
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The data refer to the calendar year. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
PEFA are legally covered by Regulation (EC) No. 691/2011 on European environmental economic accounts as amended by Regulation (EU) No. 538/2014. EEEA currently include six modules (air emissions accounts, environmentally related taxes by economic activity, economy-wide material flow accounts, environmental protection expenditure accounts, environmental goods and services sector accounts, and physical energy flow accounts). |
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6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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7.1. Confidentiality - policy | |||
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7.2. Confidentiality - data treatment | |||
Not for the figures in the PEFA Questionnaire |
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8.1. Release calendar | |||
We will publish this data in our statistical database ‘StatLine’ in November 2023. |
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8.2. Release calendar access | |||
We will publish this data in our statistical database ‘StatLine’ in November 2023 |
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8.3. Release policy - user access | |||
Data published on the Statistic Netherlands’s website (Statline) is freely accessible for all users. |
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annual |
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10.1. Dissemination format - News release | |||
Release of website publication |
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10.2. Dissemination format - Publications | |||
Waar komt onze energie vandaan? |
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10.3. Dissemination format - online database | |||
Online database of Statistics Netherlands- Statline
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10.3.1. Data tables - consultations | |||
Will be calculated and provided by EUROSTAT. |
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10.4. Dissemination format - microdata access | |||
Not applicable. |
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10.5. Dissemination format - other | |||
Online database -Statline |
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10.5.1. Metadata - consultations | |||
Will be calculated and provided by EUROSTAT. |
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10.6. Documentation on methodology | |||
Short research description (in Dutch): |
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10.6.1. Metadata completeness - rate | |||
Will be calculated and provided by EUROSTAT. |
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10.7. Quality management - documentation | |||
the PEFA is based upon data the Energy balance sheets. A report of methods and quality assessments can be found here: |
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11.1. Quality assurance | |||
See 10.7 on the quality of the sources. And during the compilationprocess checks are carried out and analyses are performed on the data. |
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11.2. Quality management - assessment | |||
See 10.7 on the quality of the sources. And during the compilationprocess checks are carried out and analyses are performed on the data. |
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12.1. Relevance - User Needs | |||
Main users are policy researchers, modellers in energy and climate research, input-Output researchers and analysts. |
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12.2. Relevance - User Satisfaction | |||
No surveys are conducted on user satisfaction. Enquiries on figures and statistics can be submitted at our Infoservice |
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12.3. Completeness | |||
Complete |
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12.3.1. Data completeness - rate | |||
Will be calculated and provided by EUROSTAT. |
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13.1. Accuracy - overall | |||
In 2023, a substantial revision of the PEFA was undertaken, departing from the Eurostat-provided PEFA builder. Instead, we adopted a more customized approach, utilizing the National Energy Balance Sheet data and developed R programming code. This transformation spanned the years 2014 to 2021, ensuring coherence and consistency in the timeseriess. The benefits of this approach include simultaneous production of PEFA questionnaires for multiple years, resulting in significant time savings, the ability to maintain data integrity through rigorous quality control measures, and the capacity to provide more accurate data on a more detailed level. This has casued deviations from the previous time series as we were able to include more detailed data and avoid general division keys that were used before. This revised methodology enhances the reliability of our energy statistics, streamlines production, and bolsters our commitment to providing accurate, timely data. |
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13.2. Sampling error | |||
Not applicable to statistical accounts. |
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13.2.1. Sampling error - indicators | |||
Not applicable to statistical accounts. |
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13.3. Non-sampling error | |||
Not applicable to statistical accounts. |
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13.3.1. Coverage error | |||
Not applicable to statistical accounts. |
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13.3.1.1. Over-coverage - rate | |||
Not applicable to statistical accounts. |
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13.3.1.2. Common units - proportion | |||
Not applicable to statistical accounts. |
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13.3.2. Measurement error | |||
Not applicable to statistical accounts. |
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13.3.3. Non response error | |||
Not applicable to statistical accounts. |
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13.3.3.1. Unit non-response - rate | |||
Not applicable to statistical accounts. |
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13.3.3.2. Item non-response - rate | |||
Not applicable to statistical accounts. |
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13.3.4. Processing error | |||
Not applicable to statistical accounts. |
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13.3.5. Model assumption error | |||
Not applicable to statistical accounts. |
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14.1. Timeliness | |||
November 2023 |
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14.1.1. Time lag - first result | |||
Not applicable. |
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14.1.2. Time lag - final result | |||
Not applicable. |
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14.2. Punctuality | |||
Not applicable. |
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14.2.1. Punctuality - delivery and publication | |||
Will be calculated and provided by EUROSTAT. |
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15.1. Comparability - geographical | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data on PEFA are compiled according to international guidelines and insofar comparable. Application of the PEFA Builder tool ensures comparability to a certain extent. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not applicable. |
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15.2. Comparability - over time | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Please see the table in 15.2.1.1. |
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15.2.1. Length of comparable time series | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Will be calculated and provided by EUROSTAT. |
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15.2.1.1. Comparability - over time detailed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Please use below table for explaining b)-flags (breaks in time series):
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15.3. Coherence - cross domain | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The PEFA questionnaire data seamlessly integrates as an input for the MFA (Material Flow Accounts) without the need for any adjustments, ensuring that the inputs align consistently with the PEFA dataset. |
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15.3.1. Coherence - sub annual and annual statistics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not applicable; reported PEFA data are only annual. |
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15.3.2. Coherence - National Accounts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The PEFA is constructed on the foundational principles of National Accounts, incorporating multiple datasets from the National Accounts to delineate specific sector divisions. The residency principle is applied as well. |
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15.3.3. Do you cooperate with national colleagues compiling AEA? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In 2023, the AEA and PEFA are compiled by the same employee of Statistics Netherlands. As said before, division keys are shared and cross comparisons are made regularly to ensure consistency. |
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15.3.4. Are there compilation elements that PEFA compilers jointly undertake with AEA compilers (e.g. distribution of road transport fuel use and emissions by NACE)? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
We are using the same distribution keys as used for the Air emission Accounts: • For passenger cars the distribution key is constructed out of energy used, calculated from fuel used per vehicle type and road performance per vehicle and fuel type. And with fixed assets and production as keys. Also the wages and salaries in kind are used to correct for the lease cars of the households.
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15.3.5. Do you report in PEFA imports and exports according to the SEEA-CF concepts for trade in goods (see SEEA-CF section 3.3.3, paras. 3.121 ff., and para. 1.46)? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Yes |
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15.3.6. Do you perform cross-domain plausibility checks between your PEFA data on air transport versus OECD's data on CO2-emissions of air transport? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Yes. |
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15.3.7. Do you perform cross-domain plausibility checks between PEFA data points and corresponding data points in energy statistics (see PEFA validation rules)? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Certainly. Cross-domain plausibility checks are indeed conducted between PEFA data points and their corresponding counterparts in energy statistics, and it's worth noting that the data sources for these checks are primarily consistent. |
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15.3.8. Do you perform cross-domain plausibility checks between PEFA data points and the corresponding data points in economy-wide material flow accounts (EW-MFA) (see PEFA validation rules)? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The EW-MFA uses the results from the PEFA questionnaires. |
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15.4. Coherence - internal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Eurostat's validation procedures should ensure full internal consistency, at least for the mandatory data points. |
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0,2 FTE annually |
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17.1. Data revision - policy | |||
Every year we recalculate the full time series of the PEFA from 2014onwards. Normally till t-1. This is done to align every single year completely with the Energy Balance (and changes that occur in there). The result is that there are no inconsistencies with the Energy statistics.
In 2023, a substantial revision of the PEFA was undertaken, departing from the Eurostat-provided PEFA builder. Instead, we adopted a more customized approach, utilizing the National Energy Balance Sheet data and developed R programming code. This transformation spanned the years 2014 to 2021, ensuring coherence and consistency in the timeseriess. The benefits of this approach include simultaneous production of PEFA questionnaires for multiple years, resulting in significant time savings, the ability to maintain data integrity through rigorous quality control measures, and the capacity to provide more accurate data on a more detailed level. This has casued deviations from the previous time series as we were able to include more detailed data and avoid general division keys that were used before. This revised methodology enhances the reliability of our energy statistics, streamlines production, and bolsters our commitment to providing accurate, timely data. |
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17.2. Data revision - practice | |||
Revisions are annlually due to new source data fro the complete time sries fro mthe Energy Statistics. The same revision policy is applied to the AEA. It enhances the consistency to do this fro the PEFA as well. |
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17.2.1. Data revision - average size | |||
Will be calculated and provided by EUROSTAT. |
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18.1. Source data | |||
Data sources used to produce physical energy flow accounts are described in the following sub-concepts. |
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18.1.1. Which are the main data sources you employ for the use of natural energy inputs (i.e. who is extracting)? | |||
Energy Joined Questionnaires + Dutch Energy Balances + Transport Statistics + National Accounts data. |
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18.1.2. Which are the main data sources you employ for supply of energy products (e.g. electricity, refinery products etc.)? | |||
Energy Joined Questionnaires + Dutch Energy Balances |
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18.1.3. Which are the main data sources you employ for the transformation use by energy transforming entities (NACE 2-digit divisions)? | |||
Energy Joined Questionnaires + Dutch Energy Balances + Transport Statistics + National Accounts data. |
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18.1.4. Which are the main data sources you employ for the end use by end user entities (including non-energy use)? | |||
Energy Joined Questionnaires + Dutch Energy Balances + Transport Statistics + National Accounts data. |
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18.1.5. Which auxiliary data do you use to develop 'distribution keys' to assign energy use to the detailed breakdown of production activities (NACE 2-digit divisions) and categories of household consumption? | |||
Transport Statistics |
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18.1.6. Do you use the PEFA builder? If yes: for populating the PEFA Tables, or for control only? | |||
No. The PEFA Builder was used before 2023. After the 2023 revision the PEFA builder was not used. |
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18.1.7. Which data sources do you use to make adjustments for the residence principle? | |||
The adjustment for the residence principle is made by using transport statistics- the road traffic performance data categorised in residence (in the Netherlands and abroad) and non-residence, in vehicle types and fuel type. |
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18.2. Frequency of data collection | |||
Annual |
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18.3. Data collection | |||
See 18.1 |
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18.4. Data validation | |||
See 18.1 |
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18.5. Data compilation | |||
The data compilation has been programmed in R in the year 2023. The main source material is explained in section 18.1. The compilation focusses on the division to NACE catgories and to energy carrier and applying the resident principle. |
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18.5.1. Imputation - rate | |||
Not applicable. |
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18.5.2. Do you assign all supply of electricity and heat to NACE D35, or do you assign some to other NACE divisions than D35? Is the assignment you did fully aligned to the ESA monetary supply table submitted by your country? | |||
Not all the supply of electricity is allocated to NACE D35. Sectors that derive their energy from alternative sources like wind and solar are allocated either to their respective economic sectors or to households. |
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18.5.3. Which method do you use for the allocation of road transport energy use to NACE industries and households? | |||
We are using the same distribution keys as used for the Air emission Accounts: • For passenger cars the distribution key is constructed out of energy used, calculated from fuel used per vehicle type and road performance per vehicle and fuel type. And with fixed assets and production as keys. Also the wages and salaries in kind are used to correct for the lease cars of the households. |
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18.5.4. Which method do you use for the allocation of energy use to detailed service industries (i.e. NACE 2-digit divisions 55-98)? | |||
We apply different division keys such as the monetary supply and use tables or data on the employed people to a specific sector. |
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18.5.5. How do you ensure a coherent assignment of energy use to economic activities (i.e. the use of energy products by a given production activity (NACE A*64 division) reported in PEFA must be coherent with the emissions reported in AEA)? | |||
By applying the same dicision keys where possible. Both rely on different data sources as explained in section 18.1. |
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18.6. Adjustment | |||
Not applicable. |
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18.6.1. Seasonal adjustment | |||
Not applicable. |
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