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Asymmetries in statistics on International Trade in Goods

Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia., 19 October 2021 14:00 ,  , Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia. It has been more than difficult to get a consistent picture of the trade between the two areas because of the huge differences (asymmetries) in statistics on trade in goods published by Eurostat and Geostat (National Statistics Office of Georgia) respectively. The differences have been both concerning the level and – even more worrying – also the trend in trade. , A fruitful and intensive 2-year cooperation between Geostat and Danish experts from Statistics Denmark in the frame of the Twinning project , Strengthening the Capacity of the Georgian Statistical System, has now resulted in a comprehensive report describing the nature, reasons and possible solutions to these asymmetries. The report is an important input to understanding asymmetries and how to handle them in the future “, Link, ”.  , Georgia’s geographical location on the shore of the Black Sea means that many goods traded between countries in Europe and mainly Armenia and Azerbaijan are transiting through Georgia. The European traders/custom are in many cases not aware that the specific imported/exported good is only transiting in Georgia and is therefore incorrectly reporting the good as being imported/exported from/to Georgia. Incorrect reporting of goods that are only transiting through Georgia are by far the major reason for the asymmetries according to the report prepared by the project, which has analysed in depths the methodology applied to trade in goods statistics in Georgia, the concepts applied and the practical data collection.  , The analysis thereby also implies that the Georgian data in the cases where goods are transiting in Georgia, are more likely to be correct than Eurostat’s data as the asymmetry appears due to incorrect declaration of country of origin (when EU is importing) and country of final destination (when goods are exported from the EU). In many of these cases, the hypothesis was supported by mirror analysis carried out on data from Azerbaijan, Armenia and Turkmenistan, which showed similar asymmetries in trade data with the EU. , Asymmetries might be caused by methodological reasons, as well as by data errors. A thorough review of the compilation of international trade in goods in Geostat has revealed a sound methodology applied in Geostat’s compilation of International Trade Statistics and great awareness of international standards. The analysis also indicates that there might be a few issues concerning the so-called trade system, volatile currency, high exemption threshold for export, imputation of missing import of cars and misclassifications of commodities, all of which are more or less out of the hands of Geostat, and more importantly, are minor issues in the big asymmetry picture. , Data errors are by far the biggest problem detected. A good understanding and overview of the nature and major sources of the data errors were obtained from structured in depths microlevel analysis involving a lot of correspondence with colleagues from 6 different EU National Statistical Offices and to some extent local importers/exporters. A lot of hard work remains to reduce the asymmetries in the future, requiring most of all careful training of individual data reporters concerning the importance of indicating the correct country of origin/country of final destination.

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/19-10-2021-asymmetries-in-statistics-on-international-trade-in-goods

Morocco 2024-2026

Statistics Denmark is implementing the second phase of a Strategic Sector Program in Morocco financed by the Danish Ministry of Foreign Affairs. Our partner is the High Commission for Planning (Haut-Commissariat au Plan - HCP) which is the main producer of official Statistics in the Kingdom of Morocco., About Denmark’s Strategic Sector Cooperation,  (on the homepage of the Ministry of Foreign Affairs), Long-term ambitions, The second phase of collaboration between Statistics Denmark and Haut-Commissariat au Plan (HCP) aims in the longer run to establish and secure the preconditions for a sustainable national statistical system based on digital collection, processing and dissemination of administrative and to a lesser degree survey data. This to support the decision making for the development of the Moroccan society in general and the just green transition in particular., The second phase naturally builds on the results achieved in the first phase. During the first phase , the digitalisation of the statistical production process in HCP has progressed to a new level: With a new IT strategy, the establishment of a Data Management Centre, the use of web based surveys, implementation of a new software for the business register etc. the IT-infrastructure to receive, process and disseminate data is now more or less in place. , The aim in phase II is thus to secure a steady and continuous flow of data into the system - both from surveys and from administrative registers, and to finalize the quality aspects of the production of statistics and to publish it., You can read more about phase I and find videos about the project here, Strategic outcomes, The project has three strategic outcomes:, Improved statistical frameworks (or systems) supporting a just green transition in Morocco through strengthening NSO capacities to work with adequately and appropriately disaggregated survey and administrative data for statistics, for digitalization processes and for communication., HCP has strengthened their role as a trusted data provider, their capacities to cooperate and to access relevant sector data, and their provision of relevant and in-demand statistics to government, private institutions and the general public relevant to a just green transition., Accelerated required decisions on viable data-solutions for the data ecosystem including but not limited to those of relevance to a just green transition enabled by partners through exposition to Danish data-solution companies and the Danish Public Private Partnership data-ecosystem of statistics., Areas of collaboration, Improving HCPs capacity and the national statistical system is done by amongst other things improving the economic modelling capacities, digitalising prioritised statistical processes, continued work on IT and data security issues, finalising the establishment of a statistical business register and secure data flows, improving quality work, and providing technical support to the further development of the implementation of The System of Environmental Economic Accounting (SEEA)., Besides the efforts to further strengthen capacities in the production, the quality and the access to statistics efforts will be made to strengthen the cooperation between data providers and users establishing national partnerships with both government and private institutions. In practical terms through e.g. working groups and user groups, by drawing up aggreements, arranging work shops and study visits etc.

https://www.dst.dk/en/consulting/projects/morocco-2024-2026

GF12: General enterprise statistics

municipality, industry (DB07 10- 19- and 127 grouping and detailed) and time
2019-2023 (Number)

https://www.statbank.dk/GF12

Tables in StatBank

Linking of additional data

Additional data can either be delivered personally at Statistics Denmark's reception or be sent by registered mail to Statistics Denmark on a physical medium (DVD, CD-ROM or USB, which will not be returned).

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/tilknytning-af-ovrige-data

Farms with livestock

How many farms have livestock? How many of them are organic? What is the livestock population of e.g. pigs and cattle?

https://www.dst.dk/en/Statistik/emner/erhvervsliv/landbrug-gartneri-og-skovbrug/landbrug-med-dyr

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Economy of the general government sector

What are the expenditures and revenues of the public sector? How much money is used on the military, healthcare and education?

https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/offentlig-sektors-oekonomi

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Wealth and liabilities

How large are the fortunes of people in Denmark? What does it look like by age and geography? And how many have more debt than wealth?

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/formue/formue-og-gaeld

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Unemployed persons

How high is the unemployment rate in Denmark, and how did it develop in recent years?

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/arbejdsloese

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Taxes and duties

Mail:

https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/skatter-og-afgifter

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Imports and exports of goods and services

How much does Denmark export per year? And how big are the imports? Which goods do we export the most of?

https://www.dst.dk/en/Statistik/emner/oekonomi/betalingsbalance-og-udenrigshandel/import-og-eksport-af-varer-og-tjenester

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