South Korea's total Exports in 2024 were valued at US$683.13 Billion, according to the United Nations COMTRADE database on international trade. South Korea's main export partners were: China, the United States and Vietnam. The top three export commodities were: Electrical, electronic equipment; Vehicles other than railway, tramway and Machinery, nuclear reactors, boilers. Total Imports were valued at US$631.73 Billion. In 2024, South Korea had a trade surplus of US$51.40 Billion.

Exports in South Korea increased to 59800 USD Million in June from 57270 USD Million in May of 2025. This dataset provides the latest reported value for - South Korea Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

South Korea's total Imports in 2024 were valued at US$631.73 Billion, according to the United Nations COMTRADE database on international trade. South Korea's main import partners were: China, the United States and Japan. The top three import commodities were: Mineral fuels, oils, distillation products; Electrical, electronic equipment and Machinery, nuclear reactors, boilers. Total Exports were valued at US$683.13 Billion. In 2024, South Korea had a trade surplus of US$51.40 Billion.

South Korea Export Value Index data was reported at 122.334 2015=100 in 2021. This records an increase from the previous number of 97.293 2015=100 for 2020. South Korea Export Value Index data is updated yearly, averaging 29.702 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 122.334 2015=100 in 2021 and a record low of 3.325 2015=100 in 1980. South Korea Export Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Trade Index. Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's export value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

Korea Export Value Index data was reported at 287.590 2000=100 in 2016. This records a decrease from the previous number of 305.777 2000=100 for 2015. Korea Export Value Index data is updated yearly, averaging 79.042 2000=100 from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 332.426 2000=100 in 2014 and a record low of 10.166 2000=100 in 1980. Korea Export Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Trade Index. Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the export value indexes are derived from export volume indexes (line 72) and corresponding unit value indexes of exports (line 74) in the IMF's International Financial Statistics.; ; United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.; ;

Techsalerator’s Import/Export Trade Data for Asia

Techsalerator’s Import/Export Trade Data for Asia offers a comprehensive and detailed examination of trade activities across the Asian continent. This extensive dataset provides deep insights into import and export transactions involving companies across various sectors throughout Asia.

Coverage Across All Asian Countries

The dataset encompasses a broad range of countries within Asia, including:

Central Asia:

Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia:

China Hong Kong Japan Mongolia North Korea South Korea Taiwan Southeast Asia:

Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam South Asia:

Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka West Asia (Middle East):

Armenia Azerbaijan Bahrain Cyprus Georgia Iran Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey United Arab Emirates Yemen Comprehensive Data Features

Transaction Details: The dataset includes detailed information on individual trade transactions, such as product descriptions, quantities, values, and dates. This level of detail allows for accurate tracking and analysis of trade patterns across Asia.

Company Information: It provides insights into the companies involved in trade, including their names, locations, and industry sectors. This information supports targeted market analysis and competitive intelligence.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, helping users understand market dynamics and sector-specific trends across diverse Asian economies.

Trade Trends: Historical data is available to analyze trade trends, identify emerging markets, and assess the impact of economic or geopolitical events on trade flows within the region.

Geographical Insights: Users can explore regional trade flows and cross-border dynamics between Asian countries and their global trade partners, including major trading nations outside the continent.

Regulatory and Compliance Data: Information on trade regulations, tariffs, and compliance requirements is included, assisting businesses in navigating the complex regulatory environments across different Asian countries.

Applications and Benefits

Market Research: Businesses can use the data to identify new market opportunities, assess competitive landscapes, and understand consumer demand across various Asian countries.

Strategic Planning: Companies can leverage insights from the data to refine trade strategies, optimize supply chains, and manage risks associated with international trade in Asia.

Economic Analysis: Analysts and policymakers can monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development initiatives.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in Asia’s diverse and rapidly evolving markets.

Techsalerator’s Import/Export Trade Data for Asia provides a vital resource for organizations involved in international trade, offering a detailed, reliable, and expansive view of trade activities across the Asian continent.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site'

Features may have these attributes:

• operator:type
• addr:full
• name
• aeroway
• emergency:helipad
• building
• addr:city
• source
• capacity:persons
• emergency

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

South Korea Import Value Index data was reported at 140.915 2015=100 in 2021. This records an increase from the previous number of 107.133 2015=100 for 2020. South Korea Import Value Index data is updated yearly, averaging 34.647 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 140.915 2015=100 in 2021 and a record low of 5.107 2015=100 in 1980. South Korea Import Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Trade Index. Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's import value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

Korea Tariff Rate: Most Favored Nation: Simple Mean: Manufactured Products data was reported at 7.380 % in 2016. This records a decrease from the previous number of 7.390 % for 2015. Korea Tariff Rate: Most Favored Nation: Simple Mean: Manufactured Products data is updated yearly, averaging 7.630 % from Dec 1988 (Median) to 2016, with 26 observations. The data reached an all-time high of 18.680 % in 1988 and a record low of 7.380 % in 2016. Korea Tariff Rate: Most Favored Nation: Simple Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Trade Tariffs. Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. 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. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.; ; 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.; ;

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• amenity
• building
• port
• operator:type
• addr:full
• addr:city
• source
• name:ko

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office')

Features may have these attributes:

• name
• name:en
• amenity
• operator
• network
• addr:full
• addr:city
• source
• name:ko

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• amenity
• man_made
• shop
• tourism
• opening_hours
• beds
• rooms
• addr:full
• addr:housenumber
• addr:street
• addr:city
• source
• name:ko

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

South Korea Exports to United States was US$128.37 Billion during 2024, according to the United Nations COMTRADE database on international trade. South Korea Exports to United States - data, historical chart and statistics - was last updated on July of 2025.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university')

Features may have these attributes:

• name
• name:en
• amenity
• building
• operator:type
• capacity:persons
• addr:full
• addr:city
• source
• name:ko

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL

Features may have these attributes:

• operator:type
• name
• source
• port
• addr:full
• building
• amenity
• addr:city

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This data is used for article of macroeconomic of some Asian countries in long period which explained about four Asian countries, such as Indonesia, Malaysia, Singapore, and South Korea. This data has taken from World Bank Development Indicators (WDI) database and is formed by Vector Auto Regression (VAR) model, then empirical result is executed by Granger causality model on E-views 11 program to gauge the relationship between gross domestic product, exchange rate, inflation rate, foreign direct investment, net export, government expenditures, unemployment rate, and savings. The results showed that most of gross domestic product of sample and other macro-economy variables have not causality relationship.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') OR tags['landuse'] IN ('residential')

Features may have these attributes:

• name
• name:en
• place
• landuse
• population
• is_in
• source
• name:ko

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap contains roughly 445.1 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 78 % of the total road length in the dataset region. The average age of data for the region is 1 year, 6 months ( Last edited 6 days ago ) and 21% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['highway'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• highway
• surface
• smoothness
• width
• lanes
• oneway
• bridge
• layer
• source
• name:ko

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Korea Cost to Exports: USD per Container data was reported at 670.000 USD in 2014. This stayed constant from the previous number of 670.000 USD for 2013. Korea Cost to Exports: USD per Container data is updated yearly, averaging 743.500 USD from Dec 2005 (Median) to 2014, with 10 observations. The data reached an all-time high of 790.000 USD in 2010 and a record low of 665.000 USD in 2012. Korea Cost to Exports: USD per Container data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Company Statistics. Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and technical control, customs broker fees, terminal handling charges and inland transport. The cost measure does not include tariffs or trade taxes. Only official costs are recorded. Several assumptions are made for the business surveyed: Has 60 or more employees; Is located in the country's most populous city; Is a private, limited liability company. It does not operate within an export processing zone or an industrial estate with special export or import privileges; Is domestically owned with no foreign ownership; Exports more than 10% of its sales. Assumptions about the traded goods: The traded product travels in a dry-cargo, 20-foot, full container load. The product: Is not hazardous nor does it include military items; Does not require refrigeration or any other special environment; Does not require any special phytosanitary or environmental safety standards other than accepted international standards.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

Korea Tariff Rate: Most Favored Nation: Weighted Mean: All Products data was reported at 8.830 % in 2016. This records an increase from the previous number of 8.420 % for 2015. Korea Tariff Rate: Most Favored Nation: Weighted Mean: All Products data is updated yearly, averaging 8.475 % from Dec 1988 (Median) to 2016, with 26 observations. The data reached an all-time high of 15.020 % in 1996 and a record low of 5.900 % in 1999. Korea 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 Korea – Table KR.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.; ;