Series Name: Developing countries’ and least developed countries’ share of global merchandise exports (percent)Series Code: TX_EXP_GBMRCHRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTarget 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Goal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Time series data for the statistic Merchandise exports (current US$) and country Marshall Islands. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 58.00 Million usd as of 12/31/2024, the lowest value since 12/31/2021. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.33 percent compared to the value the year prior.The 1 year change in percent is -3.33.The 3 year change in percent is -35.56.The 5 year change in percent is 5.45.The 10 year change in percent is 5.45.The Serie's long term average value is 31.97 Million usd. It's latest available value, on 12/31/2024, is 81.40 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1988, to it's latest available value, on 12/31/2024, is +2,800.00%.The Serie's change in percent from it's maximum value, on 12/31/2012, to it's latest available value, on 12/31/2024, is -45.79%.

Exports of goods and services (% of GDP) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.

ID: NE.EXP.GNFS.ZS Source: World Bank national accounts data, and OECD National Accounts data files. License: CC BY-4.0 Aggregation Method: Weighted average Limitations and Exceptions: Because policymakers have tended to focus on fostering the growth of output, and because data on production are easier to collect than data on spending, many countries generate their primary estimate of GDP using the production approach. Moreover, many countries do not estimate all the components of national expenditures but instead derive some of the main aggregates indirectly using GDP (based on the production approach) as the control total. Data on exports and imports are compiled from customs reports and balance of payments data. Although the data from the payments side provide reasonably reliable records of cross-border transactions, they may not adhere strictly to the appropriate definitions of valuation and timing used in the balance of payments or corresponds to the change-of ownership criterion. This issue has assumed greater significance with the increasing globalization of international business. Neither customs nor balance of payments data usually capture the illegal transactions that occur in many countries. Goods carried by travelers across borders in legal but unreported shuttle trade may further distort trade statistics. Long Definition: Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Periodicity: Annual Statistical Concept and Methodology: Gross domestic product (GDP) from the expenditure side is made up of household final consumption expenditure, general government final consumption expenditure, gross capital formation (private and public investment in fixed assets, changes in inventories, and net acquisitions of valuables), and net exports (exports minus imports) of goods and services. Such expenditures are recorded in purchaser prices and include net taxes on products. Topic: Economic Policy & Debt: National accounts: Shares of GDP & other

Time series data for the statistic Merchandise exports (current US$) and country Palau. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 3.00 Million usd as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -57.14 percent compared to the value the year prior.The 1 year change in percent is -57.14.The 3 year change in percent is 50.00.The 5 year change in percent is -25.00.The 10 year change in percent is -72.73.The Serie's long term average value is 9.03 Million usd. It's latest available value, on 12/31/2024, is 66.79 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2021, to it's latest available value, on 12/31/2024, is +50.00%.The Serie's change in percent from it's maximum value, on 12/31/2002, to it's latest available value, on 12/31/2024, is -85.00%.

Time series data for the statistic Merchandise exports (current US$) and country Costa Rica. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 21.69 Billion usd as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 14.00 percent compared to the value the year prior.The 1 year change in percent is 14.00.The 3 year change in percent is 39.98.The 5 year change in percent is 82.81.The 10 year change in percent is 92.78.The Serie's long term average value is 4.86 Billion usd. It's latest available value, on 12/31/2024, is 346.51 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +25,719.05%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

Time series data for the statistic Merchandise exports (current US$) and country Cayman Islands. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 47.00 Million usd as of 12/31/2024, the highest value since 12/31/2020. Regarding the One-Year-Change of the series, the current value constitutes an increase of 4.44 percent compared to the value the year prior.The 1 year change in percent is 4.44.The 3 year change in percent is 176.47.The 5 year change in percent is -6.00.The 10 year change in percent is -2.08.The Serie's long term average value is 38.55 Million usd. It's latest available value, on 12/31/2024, is 21.92 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2006, to it's latest available value, on 12/31/2024, is +176.47%.The Serie's change in percent from it's maximum value, on 12/31/2015, to it's latest available value, on 12/31/2024, is -27.69%.

Imports of environmental goods comprise all environmental goods entering the national territory. A relatively high share of environmental goods imports indicates that an economy purchases a significant share of environmental goods from other economies. Exports of environmental goods comprise all environmental goods leaving the national territory. A relatively high share of environmental goods exports indicates that an economy produces and sells a significant share of environmental goods to other economies. An economy’s environmental goods trade balance is the difference between its exports and imports of environmental goods.Comparative advantage is a measure of the relative advantage or disadvantage a particular economy has in a certain class of goods (in this case, environmental goods), and can be used to evaluate export potential in that class of goods. A value greater than one indicates a relative advantage in environmental goods, while a value of less than one indicates a relative disadvantage.Sources: Department of Economic and Social Affairs/United Nations. 2022. United Nations Comtrade database. https://comtrade.un.org. Accessed on 2023-06-28; International Monetary Fund (IMF) Direction of Trade Statistics (DOTS). https://data.imf.org/dot. Accessed on 2023-06-28. World Economic Outlook (WEO) Database. https://www.imf.org/en/Publications/WEO/weo-database/2022/April. Accessed on 2023-06-28; IMF staff calculations.Category: Cross-Border IndicatorsData series: Comparative advantage in environmental goodsEnvironmental goods exportsEnvironmental goods exports as percent of GDPEnvironmental goods exports as share of total exportsEnvironmental goods importsEnvironmental goods imports as percent of GDPEnvironmental goods imports as share of total importsEnvironmental goods trade balanceEnvironmental goods trade balance as percent of GDPTotal trade in environmental goodsTotal trade in environmental goods as percent of GDPMetadata:Sources: Trade data from UN Comtrade Database (https://comtrade.un.org/). Harmonized Commodity Description and Coding System (HS) 2017. Trade aggregates from IMF Direction of Trade Statistics (DOTS) (data.imf.org/dot). GDP data from World Economic Outlook.Methodology:Environmental goods imports and exports are estimated by aggregating HS 6-digit commodities identified as environmental goods based on OECD and Eurostat, The Environmental Goods & Services Industry: Manual for Data Collection and Analysis, 1999, and IMF research. Total goods imports and exports are estimated by aggregating all commodities. Environmental goods trade balance is calculated as environmental goods exports less environmental goods imports. A positive trade balance means an economy has a surplus in environmental goods, while a negative trade balance means an economy has a deficit in environmental goods.Total goods are estimated by aggregating all commodities. Comparative advantage is calculated as the proportion of an economy’s exports that are environmental goods to the proportion of global exports that are environmental goods. Total trade in environmental goods is calculated as the sum of environmental goods exports and environmental goods imports. This measure provides an indication of an economy’s involvement (openness) to trade in environmental goods.National-accounts basis GDP at current prices from the World Economic Outlook is used to calculate the percent of GDP. This measure provides an indication of an economy’s involvement (openness) to trade in environmental goods.Methodology Attachment Environmental Goods Harmonized System Codes

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.

Aggregated versus detailed data

International trade in goods statistics are published through different datasets grouped into two categories:

• Aggregated data refer to macroeconomic indicators for the EU and euro area. Monthly (short-term indicators) and annual (long-term indicators) data are aggregated by broad product categories. Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC).
• Detailed data refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain product aggregations at higher levels.

Statistical dimensions

Data periodicity (monthly or yearly) and product nomenclature (CN, SITC, BEC or CPA) differ depending on the dataset, but the following statistical fields are always available:

• reporting country: country or geo-economic area such as EU or euro area;
• partner country: EU Member State, non-EU country or geo-economic area.
• reference period: month and/or year;
• trade flows: import and export; and
• product according to the relevant classification.

Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

Time series data for the statistic Merchandise exports (current US$) and country Jamaica. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 1.93 Billion usd as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.70 percent compared to the value the year prior.The 1 year change in percent is -3.70.The 3 year change in percent is 30.18.The 5 year change in percent is 16.78.The 10 year change in percent is 32.78.The Serie's long term average value is 1.04 Billion usd. It's latest available value, on 12/31/2024, is 85.66 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +1,112.58%.The Serie's change in percent from it's maximum value, on 12/31/2008, to it's latest available value, on 12/31/2024, is -20.95%.

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.

Aggregated versus detailed data

International trade in goods statistics are published through different datasets grouped into two categories:

• Aggregated data refer to macroeconomic indicators for the EU and euro area. Monthly (short-term indicators) and annual (long-term indicators) data are aggregated by broad product categories. Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC).
• Detailed data refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain product aggregations at higher levels.

Statistical dimensions

Data periodicity (monthly or yearly) and product nomenclature (CN, SITC, BEC or CPA) differ depending on the dataset, but the following statistical fields are always available:

• reporting country: country or geo-economic area such as EU or euro area;
• partner country: EU Member State, non-EU country or geo-economic area.
• reference period: month and/or year;
• trade flows: import and export; and
• product according to the relevant classification.

Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

Time series data for the statistic Merchandise exports (current US$) and country Belgium. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 535.74 Billion usd as of 12/31/2024, the lowest value since 12/31/2021. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -5.65 percent compared to the value the year prior.The 1 year change in percent is -5.65.The 3 year change in percent is -2.85.The 5 year change in percent is 19.88.The 10 year change in percent is 13.46.The Serie's long term average value is 400.95 Billion usd. It's latest available value, on 12/31/2024, is 33.62 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1999, to it's latest available value, on 12/31/2024, is +199.04%.The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -14.47%.

Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data was reported at 1.870 % in 2022. This records a decrease from the previous number of 2.840 % for 2021. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data is updated yearly, averaging 2.840 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 5.340 % in 2001 and a record low of 1.870 % in 2022. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Trade Tariffs. Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Imports of low carbon technology products comprise all low carbon technology products entering the national territory. A relatively high share of low carbon technology products imports indicates that an economy purchases a significant share of low carbon technology products from other economies. Exports of low carbon technology products comprise all low carbon technology products leaving the national territory. A relatively high share of low carbon technology products exports indicates that an economy produces and sells a significant share of low carbon technology products to other economies. An economy’s trade balance in low carbon technology products is the difference between its exports and imports of low carbon technology products.Comparative advantage is a measure of the relative advantage or disadvantage a particular economy has in a certain class of goods (in this case, low carbon technology products), and can be used to evaluate export potential in that class of goods. A value greater than one indicates a relative advantage in low carbon technology products, while a value of less than one indicates a relative disadvantage.Sources: Department of Economic and Social Affairs/United Nations. 2022. United Nations Comtrade database. https://comtrade.un.org. International Monetary Fund (IMF) Direction of Trade Statistics (DOTS). https://data.imf.org/dot. World Economic Outlook (WEO) Database. https://www.imf.org/en/Publications/WEO/weo-database/2022/April. IMF staff calculations.Category: Mitigation,Transition to a Low-Carbon EconomyData series: Comparative advantage in low carbon technology productsExports of low carbon technology productsExports of low carbon technology products as percent of GDPExports of low carbon technology products as share of total exportsImports of low carbon technology productsImports of low carbon technology products as percent of GDPImports of low carbon technology products as share of total importsTotal trade in low carbon technology productsTotal trade in low carbon technology products as percent of GDPTrade balance in low carbon technology productsTrade balance in low carbon technology products as percent of GDPMetadata:Sources: Trade data from UN Comtrade Database (https://comtrade.un.org/). Harmonized Commodity Description and Coding System (HS) 2017. Trade aggregates from IMF Direction of Trade Statistics (DOTS) (data.imf.org/dot). GDP data from World Economic Outlook.Methodology:Low carbon technology products are estimated by aggregating HS 6-digit commodities identified as low carbon technology products based on Pigato, Miria A., Simon J. Black, Damien Dussaux, Zhimin Mao, Miles McKenna, Ryan Rafaty, and Simon Touboul. 2020. Technology Transfer and Innovation for Low-Carbon Development. International Development in Focus. Washington, DC: World Bank, and IMF research. Trade balance in low carbon technology products is calculated as low carbon technology products exports less low carbon technology products imports. A positive trade balance means an economy has a surplus in low carbon technology products, while a negative trade balance means an economy has a deficit in low carbon technology products.Total goods are estimated by aggregating all commodities. Comparative advantage is calculated as the proportion of an economy’s exports that are low carbon technology products to the proportion of global exports that are low carbon technology products. Total trade in low carbon technology products is calculated as the sum of low carbon technology products exports and low carbon technology products imports. National-accounts basis GDP at current prices from the World Economic Outlook is used to calculate the percent of GDP. This measure provides an indication of an economy’s involvement (openness) to trade in low carbon technology products, which is important for understanding how these technologies can be transferred between economies.Methodology Attachment Low Carbon Technology Harmonized System Codes

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.

Aggregated versus detailed data

International trade in goods statistics are published through different datasets grouped into two categories:

• Aggregated data refer to macroeconomic indicators for the EU and euro area. Monthly (short-term indicators) and annual (long-term indicators) data are aggregated by broad product categories. Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC).
• Detailed data refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain product aggregations at higher levels.

Statistical dimensions

Data periodicity (monthly or yearly) and product nomenclature (CN, SITC, BEC or CPA) differ depending on the dataset, but the following statistical fields are always available:

• reporting country: country or geo-economic area such as EU or euro area;
• partner country: EU Member State, non-EU country or geo-economic area.
• reference period: month and/or year;
• trade flows: import and export; and
• product according to the relevant classification.

Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

Time series data for the statistic Merchandise exports to high-income economies (% of total merchandise exports) and country Marshall Islands. Indicator Definition:Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.The indicator "Merchandise exports to high-income economies (% of total merchandise exports)" stands at 65.43 as of 12/31/2023, the lowest value since 12/31/2014. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -19.60 percent compared to the value the year prior.The 1 year change in percent is -19.60.The 3 year change in percent is -8.18.The 5 year change in percent is -18.41.The 10 year change in percent is 130.59.The Serie's long term average value is 86.71. It's latest available value, on 12/31/2023, is 24.54 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2013, to it's latest available value, on 12/31/2023, is +130.59%.The Serie's change in percent from it's maximum value, on 12/31/2001, to it's latest available value, on 12/31/2023, is -34.57%.

Series Name: Developing countries’ and least developed countries’ share of global merchandise imports (percent)Series Code: TX_IMP_GBMRCHRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTarget 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Goal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Sri Lanka LK: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data was reported at 5.040 % in 2015. This records a decrease from the previous number of 7.720 % for 2014. Sri Lanka LK: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data is updated yearly, averaging 7.720 % from Dec 1990 (Median) to 2015, with 19 observations. The data reached an all-time high of 31.290 % in 1993 and a record low of 5.040 % in 2015. Sri Lanka LK: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Trade Tariffs. Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Time series data for the statistic Merchandise exports (current US$) and country Malta. Indicator Definition:Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.The indicator "Merchandise exports (current US$)" stands at 3.77 Billion usd as of 12/31/2024, the highest value since 12/31/2013. Regarding the One-Year-Change of the series, the current value constitutes an increase of 8.77 percent compared to the value the year prior.The 1 year change in percent is 8.77.The 3 year change in percent is 23.07.The 5 year change in percent is 18.66.The 10 year change in percent is 28.75.The Serie's long term average value is 1.53 Billion usd. It's latest available value, on 12/31/2024, is 146.62 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +34,181.82%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2024, is -14.02%.

International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.

Aggregated versus detailed data

ITGS are published through different datasets grouped into two categories:

• Aggregated data refer to macroeconomic indicators for the EU and euro area. Monthly (short-term indicators) and annual (long-term indicators, not part of this data collection) data are aggregated by broad product categories. Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC).
• Detailed data refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain product aggregations at higher levels.

Statistical dimensions

Data periodicity (monthly or yearly) and product nomenclature (CN, SITC, BEC or CPA) differ depending on the dataset, but the following statistical fields are always available:

• reporting country: country or geo-economic area such as EU or euro area;
• partner country: EU Member State, non-EU country or geo-economic area;
• reference period: month and/or year;
• trade flows: import and export; and
• product according to the relevant classification.

Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

Germany DE: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 0.840 % in 2022. This records a decrease from the previous number of 1.340 % for 2021. Germany DE: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 1.690 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 4.800 % in 2001 and a record low of 0.830 % in 2020. Germany DE: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).