World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. [Note: Even though Global Development Finance (GDF) is no longer listed in the WDI database name, all external debt and financial flows data continue to be included in WDI. The GDF publication has been renamed International Debt Statistics (IDS), and has its own separate database, as well.

Last Updated:01/28/2025

Data contains Following 20 Countries 'Argentina', 'Australia', 'Brazil', 'China', 'France', 'Germany', 'India', 'Indonesia', 'Italy', 'Japan', 'Korea, Rep.', 'Mexico', 'Netherlands', 'Russian Federation', 'Saudi Arabia', 'Spain', 'Switzerland', 'Turkiye', 'United Kingdom', 'United States'

Dataset contains below Development Indicators 'Adolescent fertility rate (births per 1,000 women ages 15-19)', 'Agriculture, forestry, and fishing, value added (% of GDP)', 'Annual freshwater withdrawals, total (% of internal resources)', 'Births attended by skilled health staff (% of total)', 'Contraceptive prevalence, any method (% of married women ages 15-49)', 'Domestic credit provided by financial sector (% of GDP)', 'Electric power consumption (kWh per capita)', 'Energy use (kg of oil equivalent per capita)', 'Exports of goods and services (% of GDP)', 'External debt stocks, total (DOD, current US$)', 'Fertility rate, total (births per woman)', 'Foreign direct investment, net inflows (BoP, current US$)', 'Forest area (sq. km)', 'GDP (current US$)', 'GDP growth (annual %)', 'GNI per capita, Atlas method (current US$)', 'GNI per capita, PPP (current international $)', 'GNI, Atlas method (current US$)', 'GNI, PPP (current international $)', 'Gross capital formation (% of GDP)', 'High-technology exports (% of manufactured exports)', 'Immunization, measles (% of children ages 12-23 months)', 'Imports of goods and services (% of GDP)', 'Income share held by lowest 20%', 'Industry (including construction), value added (% of GDP)', 'Inflation, GDP deflator (annual %)', 'Life expectancy at birth, total (years)', 'Merchandise trade (% of GDP)', 'Military expenditure (% of GDP)', 'Mobile cellular subscriptions (per 100 people)', 'Mortality rate, under-5 (per 1,000 live births)', 'Net barter terms of trade index (2015 = 100)', 'Net migration', 'Net official development assistance and official aid received (current US$)', 'Personal remittances, received (current US$)', 'Population density (people per sq. km of land area)', 'Population growth (annual %)', 'Population, total', 'Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)', 'Poverty headcount ratio at national poverty lines (% of population)', 'Prevalence of HIV, total (% of population ages 15-49)', 'Prevalence of underweight, weight for age (% of children under 5)', 'Primary completion rate, total (% of relevant age group)', 'Revenue, excluding grants (% of GDP)', 'School enrollment, primary (% gross)', 'School enrollment, primary and secondary (gross), gender parity index (GPI)', 'School enrollment, secondary (% gross)', 'Surface area (sq. km)', 'Tax revenue (% of GDP)', 'Terrestrial and marine protected areas (% of total territorial area)', 'Time required to start a business (days)', 'Total debt service (% of exports of goods, services and primary income)', 'Urban population growth (annual %)

This dataset provides values for WAGES HIGH SKILLED reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This data for global, regional (EU-27), and country-specific (G20 member countries) energy and emission pathways required to achieve a defined carbon budget of under 450 Gt/CO2, developed to limit the mean global temperature rise to 1.5°C, over 50% likelihood. The data were calculated with the 1.5°C sectorial pathways of the One Earth Climate Model—an integrated energy assessment model devised at the University of Technology Sydney (UTS). The data consist of the following six zip-folder datasets (refer to Section 2 for an explanation of the data): 1. Appendix folder: Each file contains one worksheet, which summarizes the overall 1.5°C scenario. 2. Sector folder (XLSX): Each file contains one worksheet, which summarizes the industry sectors analysed. 3. Sector folder (CSV): The data contained are the same as those described in point 2. 4. Sector emissions folder: Each file contains one worksheet, which summarizes the total annual emissions for each industry sector. 5. Scope emissions folder (XLSX): Each file contains one worksheet, which summarizes the total annual emissions for each industry sector—with the additional specificity of emission scope. 6. Scope emissions folder (CSV): The data contained are the same as those described in point 5. Methods The data consist of the following six zipped dataset folders, each containing 21 separate files for each of the areas assessed. 1. Appendix zip folder: contains 21 XLSX files. Each file contains one worksheet, which summarizes the overall 1.5 °C scenario. This tab is called the ‘Appendix’ and contains: electricity generation (TWh/a), transport—final energy (PJ/a), heat supply and air conditioning (PJ/a), installed capacity (GW), final energy demand (PJ/a), energy-related CO2 emissions (million tons/a), and primary energy demand (PJ/a). 2. Sector zip folder (XLSX): contains 21 XLSX files. Each file contains one worksheet, which summarizes the industry sectors analysed. Key industry metrics are provided, such as the energy and carbon intensities of the GICS sectors analysed. Due to industry specificity—and the choice of methodology—the units of data vary between the different sectors. 3. Sector zip folder (CSV): contains 21 CSV files. The data contained are the same as those described in point 2. However, the data have been organized in a database layout and saved in the CSV file format, significantly improving data parsing. 4. Sector emission zip folder: contains 21 XLSX files. Each file contains one worksheet, which summarizes the total annual emissions (MtCO2/a) for each industry sector. 5. Scope emissions zip folder (XLSX): contains 21 XLSX files. Each file contains one worksheet, which summarizes the total annual emissions (MtCO2/a) for each industry sector—and specifies the emission scopes. This tab also provides an additional breakdown of emissions into the categories of CO2 and total GHG emissions. Two accounting methodologies are presented: (i) the OECM approach, which defines Scope 1 emissions as those related to heat and energy use; and (ii) the production-centric approach, which places the emission burden of other non-energy and Scope 3 emissions on the producer, because they are categorized as Scope 1 emissions. 6. Scope emissions zip folder (CSV): contains 21 CSV files. The data contained are the same as those described in point 5. However, the data have been organized in a database layout and saved in the CSV file format to improve data parsing. The six datasets are summarized in Table 1, with further information on the data presented in the following sub-sections. Table 1: Overview of the data files/datasets

Label

Name of data file/dataset

File types

Data repository and identifier (DOI or accession number)

Dataset 1

Appendix

XLSX

https://doi.org/10.5061/dryad.cz8w9gj82

Dataset 2

Sector_XLSX

XLSX

https://doi.org/10.5061/dryad.cz8w9gj82

Dataset 3

Sector_CSV

CSV

https://doi.org/10.5061/dryad.cz8w9gj82

Dataset 4

Sector_Emission

XLSX

https://doi.org/10.5061/dryad.cz8w9gj82

Dataset 5

Scope_Emission_XLSX

XLSX

https://doi.org/10.5061/dryad.cz8w9gj82

Dataset 6

Scope_Emission_CSV

CSV

https://doi.org/10.5061/dryad.cz8w9gj82

1.1. Description of data parameters The datasets contain the following scenario input parameters: 1. Market development: current and assumed development of the demand by sector, such as cement produced, passenger kilometers travelled, or assumed market volume in US$2015 gross domestic product (GDP). 2. Energy intensity—activity based: energy use per unit of service and/or product; for example, in megajoules (MJ) per passenger kilometer travelled (MJ/pkm), MJ per ton of steel (MJ/ton steel), aluminum, or cement. 3. Energy intensity—finance based: energy use per unit of investment in MJ per US$ GDP (MJ/$GDP) contributed by, for example, the forestry or agricultural sector. The dataset contains the following scenario output parameters: 4. Carbon intensity: current and future carbon intensities per unit of product or service; for example, in tons of CO2 per ton of steel produced (tCO2/ton steel) or grams of carbon dioxide per passenger kilometer (gCO2/pkm). 5. Scope 1, 2, and 3 emissions: datasets for each of the industry sectors and countries analysed. In addition to the emissions data, the deviations of the emissions from those of the year 2019 are provided. 6. Country scenarios: complete country scenario datasets of historical data (2012, 2015–2020) and future projections (2025–2050 in 5-year increments). Energy demand and supply data by technology, fuel, and sector are provided, including the overall energy and carbon emissions balance of the country analysed. 1.2. Geographic resolution: country data provided The dataset contains data for the following 21 countries and regions: · Regions: global, EU-27 · Countries: G20 member countries—Canada, USA, Mexico, Brazil, Argentina, Germany, France, Italy, United Kingdom, Türkiye, Russian Federation, Saudi Arabia, South Africa, Indonesia, India, China, Japan, South Korea, and Australia 1.3. Sectorial resolution: industry sector data provided The dataset contains data for the following industry sectors: Agriculture & food processing, forestry & wood products, chemical industry, aluminum industry, construction and buildings, water utilities, textile & leather industry, steel industry, cement industry, transport sector (aviation: freight & passenger transport; shipping: freight & passenger transport; and road transport: freight & passenger transport). 1.4. Time resolution The scenario data are provided for the years 2017, 2018, 2019, 2020, 2025, 2030, 2035, 2040, 2045, and 2050.

This dataset is used in the empirical analysis of the article titled: Assessing the dynamics of international competitiveness based on high-tech exports: Insights from a heterogenous panel of selected G20 countries

Foreign Direct Investment Position: Outward: Total: G20 Countries Excluding European Union data was reported at 406,377.700 EUR mn in 2023. This records a decrease from the previous number of 462,272.700 EUR mn for 2022. Foreign Direct Investment Position: Outward: Total: G20 Countries Excluding European Union data is updated yearly, averaging 224,553.400 EUR mn from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 462,272.700 EUR mn in 2022 and a record low of 127,483.900 EUR mn in 2013. Foreign Direct Investment Position: Outward: Total: G20 Countries Excluding European Union data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ireland – Table IE.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are not excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.; G20 countries excluding European Union, 19 countries: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Republic of Korea, Russian Federation, Saudi Arabia, South Africa, Turkey, United Kingdom, United States

This dataset provides values for CURRENT ACCOUNT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Denmark Foreign Direct Investment Income: Outward: USD: Total: G20 Countries Excluding European Union data was reported at 9.919 USD bn in 2023. This records an increase from the previous number of 9.162 USD bn for 2022. Denmark Foreign Direct Investment Income: Outward: USD: Total: G20 Countries Excluding European Union data is updated yearly, averaging 9.541 USD bn from Dec 2020 (Median) to 2023, with 4 observations. The data reached an all-time high of 10.770 USD bn in 2021 and a record low of 5.638 USD bn in 2020. Denmark Foreign Direct Investment Income: Outward: USD: Total: G20 Countries Excluding European Union data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Denmark – Table DK.OECD.FDI: Foreign Direct Investment Income: USD: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) is treated as portfolio investment. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the immediate counterpart country. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Direct Influence/Indirect Control (DIIC) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the resident direct investment enterprise. Statistical unit:Enterprise and Local Enterprise Group combined. Respondents have the opportunity to choose between reporting for one enterprise only or reporting for several enterprises within the same group; G20 countries excluding European Union, 19 countries: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Republic of Korea, Russian Federation, Saudi Arabia, South Africa, Turkey, United Kingdom, United States

The analysis has been carried out for a sample of 45 countries belonging to the G20 and OECD for the period–1990-2019. For skill level analysis, the data is available for 33 countries for low-, high-, and semi-skill employment and 22 countries for unskilled employment. For low- and high-skill employment, data is available for 1995-2019; for semi-skill employment, it is available for 2000-2019, and for unskilled employment for 2006-2019. The employment datasets are obtained from the International Labour Organization (ILO) website and export quality indicators from the International Monetary Fund (IMF) online database website. The datasets on R&D, FDI, Gross Fixed capital formation, Medium and high technology exports, ICT indicators, and export unit value index are obtained from the World Bank’s World Development Indicators (WDI) and average Tariff data from the World Integrated Trade Solution (WITS) website.

IntroductionWhile many countries have successfully promoted generic drug use, South Korea faces challenges with low utilization and high expenditure shares, despite various policy reforms. This study aimed to evaluate the effectiveness of generic drug policies in South Korea, by comparing the prices, competition, and usage trends of generic drugs between South Korea and the Group of Twenty (G20) countries.MethodsWe analyzed 26 off-patent active ingredients marketed in South Korea and G20 countries from 2014 to 2023. Generic drug prices were calculated by dividing total sales by total volume in 2023, with the average price for each country subsequently determined. Generic competition was measured by the number of generic drugs available in each country. The usage trends of generic drugs were assessed using the sales and volume ratios of off-patent original drugs to generic drugs in 2023.ResultsSouth Korea had more generic drugs for 19 of the 26 analyzed ingredients (73.1%) compared to other G20 countries. However, for recently off-patent ingredients, the number of generic drugs was smaller in South Korea. The generic prices for 18 ingredients (69.2%) were lower in South Korea than in the G20 and Advanced Eight (A8) countries. Similar to the generic competition, generics with larger market sizes had higher prices in South Korea. Conversely, the prices of recently off-patent ingredients were higher in South Korea compared to the G20 countries. For 24 ingredients (92.3%), the sales and volume ratios of generic drugs in South Korea were considerably lower compared to the G20 countries.ConclusionThis study confirms that the pharmaceutical policies and regulatory frameworks for generic drug are fragmented and inefficient in South Korea. Consequently, these fragmented and inefficient policies disrupt the virtuous cycle mechanism of generic price and usage driven by effective competition. To address these challenges and promote the use of generic drugs, the findings of this study suggest the need to develop and implement policies in South Korea that focus on optimizing the pharmaceutical expenditure structure, enhancing post-listing price management system for generic drugs, supporting the accelerated development of generic drugs, and promoting the prescription and use of generic drugs.

The B-STA-R dataset provides information on more than 1138 bilateral agreements on cooperation in matters of science and technology, mostly concluded by countries of the G20 and OECD in the period between 1937 and 2020. These science and technology agreements (STA) are intergovernmental treaties in which the participating countries establish a framework for bilateral cooperation in science and technology (S&T). The files associated with the dataset contain information on the concluding countries, dates of signing, and entry into force. Moreover, links to the full texts of the agreements are provided where possible. B-STA-R is meant to inform studies from the social sciences and humanities that deal with the topic of international science policy, science diplomacy, innovation studies, foreign policy analysis, history of S&T, globalization and diffusion studies, etc.

This dataset provides values for BUSINESS CONFIDENCE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The B-STA-R dataset provides information on more than 1138 bilateral agreements on cooperation in matters of science and technology, mostly concluded by countries of the G20 and OECD in the period between 1937 and 2020. These science and technology agreements (STA) are intergovernmental treaties in which the participating countries establish a framework for bilateral cooperation in science and technology (S&T). The files associated with the dataset contain information on the concluding countries, dates of signing, and entry into force. Moreover, links to the full texts of the agreements are provided where possible. B-STA-R is meant to inform studies from the social sciences and humanities that deal with the topic of international science policy, science diplomacy, innovation studies, foreign policy analysis, history of S&T, globalization and diffusion studies, etc. Compilation/SynthesisCompilationSynthesis Kompilation/SyntheseCompilationSynthesis

This dataset provides values for LABOR FORCE PARTICIPATION RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for 30 YEAR BOND YIELD reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Denmark Foreign Direct Investment Income: Outward: USD: Total: G20 Non-OECD Countries data was reported at 1.717 USD bn in 2023. This records an increase from the previous number of 849.700 USD mn for 2022. Denmark Foreign Direct Investment Income: Outward: USD: Total: G20 Non-OECD Countries data is updated yearly, averaging 1.446 USD bn from Dec 2020 (Median) to 2023, with 4 observations. The data reached an all-time high of 1.884 USD bn in 2021 and a record low of 849.700 USD mn in 2022. Denmark Foreign Direct Investment Income: Outward: USD: Total: G20 Non-OECD Countries data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Denmark – Table DK.OECD.FDI: Foreign Direct Investment Income: USD: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) is treated as portfolio investment. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the immediate counterpart country. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Direct Influence/Indirect Control (DIIC) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the resident direct investment enterprise. Statistical unit:Enterprise and Local Enterprise Group combined. Respondents have the opportunity to choose between reporting for one enterprise only or reporting for several enterprises within the same group; G20 countries non OECD members, 8 countries: Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa

Spain Foreign Direct Investment Income: Inward: Total: G20 Countries Excluding European Union data was reported at 17,162.000 EUR mn in 2023. This records an increase from the previous number of 14,998.000 EUR mn for 2022. Spain Foreign Direct Investment Income: Inward: Total: G20 Countries Excluding European Union data is updated yearly, averaging 12,499.500 EUR mn from Dec 2013 (Median) to 2023, with 8 observations. The data reached an all-time high of 17,162.000 EUR mn in 2023 and a record low of 9,724.000 EUR mn in 2014. Spain Foreign Direct Investment Income: Inward: Total: G20 Countries Excluding European Union data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Spain – Table ES.OECD.FDI: Foreign Direct Investment Income: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and posisitons are allocated according to the activity of the resident direct investor. Statistical unit: Unspecified.; G20 countries excluding European Union, 19 countries: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Republic of Korea, Russian Federation, Saudi Arabia, South Africa, Turkey, United Kingdom, United States

Lithuania LT: Foreign Direct Investment Income: Inward: Total: G20 Non-OECD Countries data was reported at 8.410 EUR mn in 2023. This records a decrease from the previous number of 35.770 EUR mn for 2022. Lithuania LT: Foreign Direct Investment Income: Inward: Total: G20 Non-OECD Countries data is updated yearly, averaging 16.380 EUR mn from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 162.170 EUR mn in 2005 and a record low of 3.800 EUR mn in 2013. Lithuania LT: Foreign Direct Investment Income: Inward: Total: G20 Non-OECD Countries data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Income: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.; G20 countries non OECD members, 8 countries: Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa

Lithuania LT: Foreign Direct Investment Income: Inward: Total: G20 Countries Excluding European Union data was reported at 809.210 EUR mn in 2023. This records a decrease from the previous number of 866.890 EUR mn for 2022. Lithuania LT: Foreign Direct Investment Income: Inward: Total: G20 Countries Excluding European Union data is updated yearly, averaging 206.760 EUR mn from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 866.890 EUR mn in 2022 and a record low of 84.720 EUR mn in 2009. Lithuania LT: Foreign Direct Investment Income: Inward: Total: G20 Countries Excluding European Union data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Income: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.; G20 countries excluding European Union, 19 countries: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Republic of Korea, Russian Federation, Saudi Arabia, South Africa, Turkey, United Kingdom, United States

Denmark Foreign Direct Investment Income: Outward: Total: G20 Non-OECD Countries data was reported at 11,828.000 DKK mn in 2023. This records an increase from the previous number of 5,343.000 DKK mn for 2022. Denmark Foreign Direct Investment Income: Outward: Total: G20 Non-OECD Countries data is updated yearly, averaging 9,758.500 DKK mn from Dec 2020 (Median) to 2023, with 4 observations. The data reached an all-time high of 11,846.000 DKK mn in 2021 and a record low of 5,343.000 DKK mn in 2022. Denmark Foreign Direct Investment Income: Outward: Total: G20 Non-OECD Countries data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Denmark – Table DK.OECD.FDI: Foreign Direct Investment Income: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) is treated as portfolio investment. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the immediate counterpart country. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Direct Influence/Indirect Control (DIIC) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the resident direct investment enterprise. Statistical unit:Enterprise and Local Enterprise Group combined. Respondents have the opportunity to choose between reporting for one enterprise only or reporting for several enterprises within the same group; G20 countries non OECD members, 8 countries: Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa

Spain Foreign Direct Investment Income: Inward: USD: Total: G20 Non-OECD Countries data was reported at 240.052 USD mn in 2023. This records a decrease from the previous number of 419.602 USD mn for 2022. Spain Foreign Direct Investment Income: Inward: USD: Total: G20 Non-OECD Countries data is updated yearly, averaging 224.898 USD mn from Dec 2013 (Median) to 2023, with 8 observations. The data reached an all-time high of 570.519 USD mn in 2014 and a record low of -132.450 USD mn in 2021. Spain Foreign Direct Investment Income: Inward: USD: Total: G20 Non-OECD Countries data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Spain – Table ES.OECD.FDI: Foreign Direct Investment Income: USD: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and posisitons are allocated according to the activity of the resident direct investor. Statistical unit: Unspecified.; G20 countries non OECD members, 8 countries: Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa