Analysis of ‘Strategic Trade Atlas Data 2012-2016’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/68002410-9be4-4f6d-8dc4-1c3b6904ca40 on 11 January 2022.

--- Dataset description provided by original source is as follows ---

The slice of world trade data underlying the Strategic Trade Atlas is made available here, covering the trade period 2012-2016. The data is published in three sets. The first, named Strategic Trade Atlas Data, is the main set. It includes trade flow data between countries in strategic commodities over time. The second set, named Strategic Commodities RCA Data, provides the estimation of the Revealed Comparative Advantage by countries in the trade of strategic commodities for the time period of reference. The third set, named Total Trade Data, includes trade measures by countries in all commodities (strategic and non strategic). This is of use to compute the share of strategic trade versus all trade.

--- Original source retains full ownership of the source dataset ---

The slice of world trade data underlying the Strategic Trade Atlas is made available here, covering the trade period 2017-2021. The data is published in three sets. The first, named Strategic Trade Atlas Data, is the main set. It includes trade flow data between countries in strategic commodities over time. The second set, named Strategic Commodities RCA Data, provides the estimation of the Revealed Comparative Advantage by countries in the trade of strategic commodities for the time period of reference. The third set, named Total Trade Data, includes trade measures by countries in all commodities (strategic and non strategic). This is of use to compute the share of strategic trade versus all trade.

Note: From November 2007 to April 2008, this product product was entitled World Trade Atlas - Canada Edition. Before November 2007, it was known as: Canadian Trade Data and Canadian International Trade. The International Merchandise Trade Data by Commodity Classification provides a Canadian perspective of imports and exports in a globally accepted format, the Harmonized Commodity Description and Coding System (HS). The following variables are available for import data at the HS10 level: + Country of Export + Country of Origin + Month + Province of Clearance + Quantity + Unit of Measure + US State of Origin + Value + Year The following variables are available for export data at the HS8 level: + Country of Destination + Month + Province of Clearance + Province of Origin + Quantity + Unit of Measure + US State of Destination + Value + Year

The slice of world trade data underlying the Strategic Trade Atlas is made available here, covering the trade period 2012-2016. The data is published in three sets. The first, named Strategic Trade Atlas Data, is the main set. It includes trade flow data between countries in strategic commodities over time. The second set, named Strategic Commodities RCA Data, provides the estimation of the Revealed Comparative Advantage by countries in the trade of strategic commodities for the time period of reference. The third set, named Total Trade Data, includes trade measures by countries in all commodities (strategic and non strategic). This is of use to compute the share of strategic trade versus all trade.

Trade in services (% of GDP) of Serbia dipped by 1.33% from 31.1 % in 2022 to 30.7 % in 2023. Since the 9.66% surge in 2021, trade in services (% of GDP) rocketed by 21.07% in 2023. Trade in services is the sum of service exports and imports divided by the value of GDP, all in current U.S. dollars.

The slice of world trade data underlying the Nuclear Trade Atlas is made available here, covering the trade period 2018-2022. The data is published in three sets. The first, named Nuclear Trade Atlas Data, is the main set. It includes trade flow data between countries in nuclear commodities over time. The second set, named Nuclear Commodities RCA Data, provides the estimation of the Revealed Comparative Advantage by countries in the trade of nuclear commodities for the time period of reference. The third set, named Total Trade Data, includes trade measures by countries in all commodities (nuclear and non strategic). This is of use to compute the share of nuclear trade versus all trade.

Net trade in goods of Lebanon dropped by 6.67% from -13,756,492,693 US dollars in 2022 to -12,838,323,957 US dollars in 2023. Since the 34.95% jump in 2021, net trade in goods shot up by 44.49% in 2023. Net trade in goods is the difference between exports and imports of goods. Trade in services is not included. Data are in current U.S. dollars.

The Atlas of Economic Complexity maintains trade data in multiple international classification systems. This data set contains unilateral trade flows for services from the International Monetary Fund (IMF) Direction of Trade Statistics database. Describes services across five broad categories as grouped by researchers at the Growth Lab Coverage starts in 1980 Categories provided at 1- 2- 4- 6- digit level for compatibility with our other data sets Raw data on trade in services contains unilateral data on services trade provided by the International Monetary Fund (IMF) and acquired through the World Development Indicators (WDI) of The World Bank The data is then cleaned by Growth Lab researchers.

GNI, Atlas method (current US$) in Hong Kong was reported at 415787808640 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Hong Kong - GNI, Atlas method - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The slice of world trade data underlying the Strategic Trade Atlas is made available here, covering the trade period 2013-2017. The data is published in three sets. The first, named Strategic Trade Atlas Data, is the main set. It includes trade flow data between countries in strategic commodities over time. The second set, named Strategic Commodities RCA Data, provides the estimation of the Revealed Comparative Advantage by countries in the trade of strategic commodities for the time period of reference. The third set, named Total Trade Data, includes trade measures by countries in all commodities (strategic and non strategic). This is of use to compute the share of strategic trade versus all trade.

The Atlas of Economic Complexity maintains trade data in multiple international classification systems. This data set contains trade flows classified via Standard International Trade Classification (SITC) Revision 2. In comparison to Harmonized System (HS), SITC data offers a longer time-series but covers fewer goods, as the goods classification names had to remain rather consistent since the 1960s, despite the onset of new goods segments or products since (e.g. electronics): Categorizes approximately 700 goods Covers years from 1962–2019 Categories break down to 1-, 2-, or 4-digit detail levels Raw data on trade in goods is provided by United Nations Statistical Division (COMTRADE). The data is then cleaned by Growth Lab researchers using the Bustos-Yildirim Method which uses bilateral trade flows to account for inconsistent reporting and provides more reliable accounting. In addition to trade in goods, the data additionally contains unilateral data on services trade provided by the International Monetary Fund (IMF) and acquired through the World Development Indicators (WDI) of The World Bank. For further information, see the data information page on the Atlas website.

GVA in trade of Blekinge län leapt by 11.69% from 514.9 millions of euro in 2010 to 575.1 millions of euro in 2011. Since the 15.79% slump in 2009, GVA in trade rocketed by 32.12% in 2011.

The data used for this report was collected by Kevin Woods and based on literature reviews as well as semistructured interviews with RFD officials, academics in Thai universities, and the private sector. In all cases, interviewees were told that that the study was funded by the European Forestry Institute and would likely result in a public report. Unless otherwise noted, data on wood import and export volumes was compiled by James Hewitt for the European Forestry Institute. The primary source of these trade statistics originates from the Customs Department of the Kingdom of Thailand. Additional sources were World Trade Atlas and UN Comtrade. Also, Thai newspapers were an important source for secondary data. Donor reports and web-based newspapers were instrumental in obtaining secondary data. Every effort has been made to provide pertinent analyses and accurate quantitative figures on the Thai forest product trade. Also, it should be clear that while this report strives to be as comprehensive as possible regarding the forest law enforcement, governance and forest products trade in Thailand, some aspects of this initiative may not have been captured.

The Atlas of Economic Complexity maintains trade data in multiple international classification systems. This data set contains trade flows classified via Harmonized System (HS) 1992. HS data offers a contemporary and detailed classification of goods, but covers a relatively short time period: Categorizes approximately 5,000 goods Covers years from 1995–2020 Categories break down to 1-, 2-, 4-, or 6-digit detail levels (though country reporting can be less reliable at the 6-digit level) Raw data on trade in goods is provided by United Nations Statistical Division (COMTRADE). The data is then cleaned by Growth Lab researchers using the Bustos-Yildirim Method which uses bilateral trade flows to account for inconsistent reporting and provides more reliable accounting. In addition to trade in goods, the data additionally contains unilateral data on services trade provided by the International Monetary Fund (IMF) and acquired through the World Development Indicators (WDI) of The World Bank. For further information, see the data information page on the Atlas website.

GVA in trade of Maramures dropped by 8.94% from 301.9 millions of euro in 2010 to 274.9 millions of euro in 2011. Since the 17.63% jump in 2008, GVA in trade plummeted by 44.99% in 2011.

Retail trade, except of motor vehicles and motorcycles of Wien (AT13) decreased by 3.26% from 14,532 number of local units in 2019 to 14,058 number of local units in 2020. Since the 1.45% upward trend in 2015, retail trade, except of motor vehicles and motorcycles slumped by 5.49% in 2020.

Our 2017 Journal of Conflict Resolution (JCR) paper ("Export Similarity and International Conflict") uses a measure of export similarity between countries for the years 1962-2000. In February 2023, we updated this measure to cover 1962-2020. Note that this version is based on the Atlas of Economic Complexity whereas the original version was based on the World Trade Flows data. The two measures are highly correlated (0.92). For more information, please read the "Update Notes" document below. You can find the original measure in the 2017 JCR replication file.

Personal, cultural and recreational services exports of World shot up by 19.36% from 86,579 million US dollars in 2020 to 103,340 million US dollars in 2021. Since the 9.64% jump in 2011, personal, cultural and recreational services exports soared by 80.57% in 2021.

GVA in trade of Vratsa grew by 2.58% from 85.5 millions euro in 2016 to 87.7 millions euro in 2017. Since the 3.95% dip in 2013, GVA in trade soared by 30.38% in 2017.

In this lecture we present and discuss cybercartographic ways of representing statistical data with Nunaliit. Nunaliit is an open-source software framework that enables the development of cybercartographic products including atlases. Cybercartographic atlases are on-line dynamic, interactive atlases supporting new forms of geovisualization that go beyond conventional and GIS mapping techniques to stimulate data analysis exploration and display. Researchers at the Geomatics and Cartographic Research Centre have developed several atlas prototypes, including The Cybercartographic Atlas of Canada's Trade with the World which is based in part on data that has now been liberated by Statistics Canada. Several innovative forms of geovisualization, including geo-audification and graphomap, will be presented and discussed to illustrate the potential of cybercartography tools and concepts to design new forms of audio-visual mapping.