Bangladesh2019 Economic Complexity: -0.96, Rank 131 of 157
2019 Product Exports | Imports: $47.2B | $55.6B, 52 of 225 | 47 of 225
2019 Per Capita Product Exports | Imports: $289 | $341, 175 of 219 | 191 of 219
2018 Service Exports | Imports : $4.98B | $10.7B, 42 of 88 | 32 of 88
Overview: In 2019 Bangladesh was the number 40 economy in the world in terms of GDP (current US$), the number 52 in total exports, the number 47 in total imports, the number 145 economy in terms of GDP per capita (current US$) and the number 131 most complex economy according to the Economic Complexity Index (ECI).
Exports: The top exports of Bangladesh are Non-Knit Men's Suits ($7.06B), Knit T-shirts ($6.92B), Knit Sweaters ($5.71B), Non-Knit Women's Suits ($5.39B), and Non-Knit Men's Shirts ($2.5B), exporting mostly to United States ($6.86B), Germany ($6.69B), United Kingdom ($3.92B), Spain ($3.41B), and France ($3.33B).
In 2019, Bangladesh was the world's biggest exporter of Non-Knit Men's Shirts ($2.5B), Jute Yarn ($461M), Jute and Other Textile Fibers ($113M), Textile Scraps ($84.4M), and Jute Woven Fabric ($80.4M)
Imports: The top imports of Bangladesh are Refined Petroleum ($3.8B), Raw Cotton ($1.9B), Petroleum Gas ($1.42B), Heavy Pure Woven Cotton ($1.31B), and Scrap Iron ($1.1B), importing mostly from China ($17.3B), India ($8.24B), Singapore ($2.96B), Malaysia ($2.33B), and Indonesia ($1.91B).
In 2019, Bangladesh was the world's biggest importer of Heavy Pure Woven Cotton ($1.31B), Light Pure Woven Cotton ($919M), Heavy Mixed Woven Cotton ($849M), Woven Fabric of Synthetic Staple Fibers ($282M), Light Mixed Woven Cotton ($250M)
Top Export (2019): Non-Knit Men's Suits, $7.06B
Top Destination (2019): United States, $6.86B
In 2019, Bangladesh exported a total of $47.2B, making it the number 52 exporter in the world. During the last five reported years the exports of Bangladesh have changed by $12.8B from $34.4B in 2014 to $47.2B in 2019.
The most recent exports are led by Non-Knit Men's Suits ($7.06B), Knit T-shirts ($6.92B), Knit Sweaters ($5.71B), Non-Knit Women's Suits ($5.39B), and Non-Knit Men's Shirts ($2.5B). The most common destination for the exports of Bangladesh are United States ($6.86B), Germany ($6.69B), United Kingdom ($3.92B), Spain ($3.41B), and France ($3.33B).
Top Import (2019): Refined Petroleum, $3.8B
Top Origin (2019): China, $17.3B
In 2019 Bangladesh imported $55.6B, making it the number 47 trade destination in the world. During the last five reported years the imports of Bangladesh changed by $15.9B from $39.8B in 2014 to $55.6B in 2019.
The most recent imports of Bangladesh are led by Refined Petroleum ($3.8B), Raw Cotton ($1.9B), Petroleum Gas ($1.42B), Heavy Pure Woven Cotton ($1.31B), and Scrap Iron ($1.1B). The most common import partners for Bangladesh are China ($17.3B), India ($8.24B), Singapore ($2.96B), Malaysia ($2.33B), and Indonesia ($1.91B).
Bangladesh Exports Services (2018): $4.98B
Bangladesh Imports Services (2018): $10.7B
In 2018, Bangladesh exported $4.98B worth of services. The top services exported by Bangladesh in 2018 were Other government services ($2.12B), Miscellaneous business, professional, and technical services ($834M), Telecommunications services ($366M), Personal travel ($352M), and Air transport ($350M).
The top services imported by Bangladesh in 2018 were Sea transport ($7.16B), Air transport ($814M), Personal travel ($704M), Miscellaneous business, professional, and technical services ($685M), and Construction in the compiling economy ($369M).
The top product import tariffs by their MFN Ad Valorem value for Bangladesh are Abrasive powder, grain on paper or paperboard support (25%) and Abrasive powderor grain on woven textile support (25%).
Click any of the products in the bar chart to see the specific Ad Valorem Duty Rates by partner country.
*The tariffs applied to imports for Bangladesh are:
During the last 20 years Bangladesh's economy has become relatively más complex, moving from the 131st to the 131st position in the ECI rank.
These economic complexity rankings use 6 digit exports classified according to the HS96 classification. We consider only countries with population of at least 1 million and exports of at least $1 billion, and products with world trade over $500 million. To explore different rankings and vary these parameters visit the custom rankings section.
Bangladesh has a high level of specialization in Jute Yarn (350), Non-Knit Men's Shirts (67.8), Non-Knit Babies' Garments (66.8), Textile Scraps (60.1), and Knit T-shirts (57.6). Specialization is measured using RCA, an index that takes the ratio between Bangladesh observed and expected exports in each product.
The highest complexity exports of Bangladesh according to the product complexity index (PCI) are Automatic goods vending, money changing machines, etc (0.83), Frames and mountings for spectacles, goggles, etc (0.4), Hydrogen peroxide, (including solidified with urea) (0.37), Nickel waste or scrap (0.34), and Bicycles, other cycles, not motorized (0.22). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.
The top export opportunities for Bangladesh according to the relatedness index, are Pepper (0.14), Coconuts, Brazil Nuts, and Cashews (0.14), Nutmeg, mace and cardamons (0.14), Rubber (0.13), and Cinnamon (0.13). Relatedness measures the distance between a country's current exports and each product. The barchart show only products that Bangladesh is not specialized in.
The product space is a network connecting products that are likely to be co-exported. The product space can be used to predict future exports, since countries are more likely to start exporting products that are related to current exports. Relatedness measures the distance between a product, and all of the products it is currently specialized in.
The Complexity-Relatedness diagram compares the risk and the strategic value of a country's potential export oppotunities. Relatedness is a predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth, less income inequality, and lower emissions.
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