This statistic shows the national debt of the emerging market and developing economies from 2020 to 2024 in relation to gross domestic product (GDP), with projections up until 2030. The figures are aggregated and refer to the whole country respectively, and include the debts of the state, the communities, the municipalities and the social insurances. In 2024, the national debt of the emerging market and developing economies amounted to approximately 69.47 percent of GDP.

The average for 2024 based on 25 countries was 32759 U.S. dollars. The highest value was in Qatar: 110946 U.S. dollars and the lowest value was in Pakistan: 5531 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

From 2012 to 2023, China was the largest emerging market for green bonds issued, with an issuance of nearly *** billion U.S. dollars. India, Brazil, Chile, and the United Arab Emirates were the largest issuers after China.

This statistic shows the gross domestic product (GDP) per capita in the main industrialized and emerging countries in current prices in 2024. All figures are estimates. This year, the gross domestic product per capita in China amounted to approximately 13,312.7 U.S. dollars.

United Kingdom UK: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: French Polynesia data was reported at 0.067 USD mn in Jun 2018. This records a decrease from the previous number of 0.139 USD mn for Mar 2018. United Kingdom UK: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: French Polynesia data is updated quarterly, averaging 0.070 USD mn from Dec 1961 (Median) to Jun 2018, with 119 observations. The data reached an all-time high of 0.937 USD mn in Sep 2006 and a record low of 0.002 USD mn in Dec 1990. United Kingdom UK: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: French Polynesia data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United Kingdom – Table UK.IMF.DOT: Imports: cif: by Country: Quarterly.

United States USD Trade Weighted Index: Nominal: Emerging Market Economies data was reported at 121.368 2006=100 in Jan 2019. This records a decrease from the previous number of 123.885 2006=100 for Dec 2018. United States USD Trade Weighted Index: Nominal: Emerging Market Economies data is updated monthly, averaging 98.829 2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 124.362 2006=100 in Nov 2018 and a record low of 89.858 2006=100 in Jul 2008. United States USD Trade Weighted Index: Nominal: Emerging Market Economies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

This statistic shows share of the main industrialized and emerging countries in the gross domestic product (GDP), adjusted for purchasing power, in 2024. That year, the share of China in the global gross domestic product (GDP) was about 19.45 percent.

The average for 2023 based on 26 countries was 6.1 percent. The highest value was in Pakistan: 23.33 percent and the lowest value was in Qatar: 0.29 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Index Time Series for iShares MSCI Emerging Markets Asia ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund generally will invest at least 80% of its assets in the component securities of the underlying index and in investments that have economic characteristics that are substantially identical to the component securities of the underlying index. The underlying index is designed to measure equity market performance in the emerging market countries of Asia. The underlying index includes large- and mid-capitalization companies and may change over time.

Switzerland Imports: Emerging Economies data was reported at 1,939.108 CHF mn in Oct 2018. This records an increase from the previous number of 1,657.517 CHF mn for Sep 2018. Switzerland Imports: Emerging Economies data is updated monthly, averaging 499.131 CHF mn from Jan 1988 (Median) to Oct 2018, with 370 observations. The data reached an all-time high of 3,701.513 CHF mn in Sep 2017 and a record low of 252.233 CHF mn in Jan 1995. Switzerland Imports: Emerging Economies data remains active status in CEIC and is reported by Swiss Federal Customs Administration. The data is categorized under Global Database’s Switzerland – Table CH.JA006 Imports: by Country.

Switzerland Imports: Emerging Economies: Mexico data was reported at 103.161 CHF mn in Oct 2018. This records an increase from the previous number of 78.233 CHF mn for Sep 2018. Switzerland Imports: Emerging Economies: Mexico data is updated monthly, averaging 13.992 CHF mn from Jan 1988 (Median) to Oct 2018, with 370 observations. The data reached an all-time high of 329.138 CHF mn in Jun 2014 and a record low of 2.316 CHF mn in Jan 1993. Switzerland Imports: Emerging Economies: Mexico data remains active status in CEIC and is reported by Swiss Federal Customs Administration. The data is categorized under Global Database’s Switzerland – Table CH.JA006 Imports: by Country.

Has the rise of large emerging economies influenced the foreign economic policies of smaller nations? Many of the BRICS' (Brazil, Russia, India, China, South Africa) dominance in export markets for low-skilled goods pose a particular challenge for “surplus-labor” countries characterized by large populations of unskilled and underemployed labor. We theorize the incentives of firms and governments in surplus-labor countries to form South-South preferential trade agreements (SSPTAs) as a means of diversifying and expanding trade relationships in the face of this challenge. Of all the BRICS, our findings show that China poses the greatest challenge; the countries forming the most South-South agreements are those whose exports have been most displaced by China. We verify this pattern using both systemic and country-specific measures of the China “shock.” Imports from China, in contrast, have no significant effect on SSPTA formation. Our account, which helps resolve the dual puzzle of declining trade with rich countries and the proliferation of SSPTAs in recent decades, underlines the implications of China's rise on the developing world.

The Emerging Markets Bond Index (EMBI), commonly known as "riesgo país" in Spanish speaking countries, is a weighted financial benchmark that measures the interest rates paid each day by a selected portfolio of government bonds from emerging countries. It is measured in base points, which reflect the difference between the return rates paid by emerging countries' government bonds and those offered by U.S. Treasury bills. This difference is defined as "spread". Which Latin American country has the highest risk bonds? As of September 19, 2024, Venezuela was the Latin American country with the greatest financial risk and highest expected returns of government bonds, with an EMBI spread of around 254 percent. This means that the annual interest rates paid by Venezuela's sovereign debt titles were estimated to be exponentially higher than those offered by the U.S. Treasury. On the other hand, Brazil's EMBI reached 207 index points at the end of August 2023. In 2023, Venezuela also had the highest average EMBI in Latin America, exceeding 40,000 base points. The impact of COVID-19 on emerging market bonds The economic crisis spawned by the coronavirus pandemic heavily affected the financial market's estimated risks of emerging governmental bonds. For instance, as of June 30, 2020, Argentina's EMBI spread had increased more than four percentage points in comparison to January 30, 2020. All the Latin American economies measured saw a significant increase of the EMBI spread in the first half of the year.

The average for 2025 based on 27 countries was 54 points. The highest value was in the Czechia: 80 points and the lowest value was in China: 20 points. The indicator is available from 1995 to 2025. Below is a chart for all countries where data are available.

The average for 2020 based on 23 countries was 81.29 percent. The highest value was in China: 182.87 percent and the lowest value was in Pakistan: 15.04 percent. The indicator is available from 1960 to 2020. Below is a chart for all countries where data are available.

Switzerland Imports: Emerging Economies: Brazil data was reported at 196.071 CHF mn in Oct 2018. This records an increase from the previous number of 151.949 CHF mn for Sep 2018. Switzerland Imports: Emerging Economies: Brazil data is updated monthly, averaging 49.036 CHF mn from Jan 1988 (Median) to Oct 2018, with 370 observations. The data reached an all-time high of 282.364 CHF mn in Jan 2013 and a record low of 17.443 CHF mn in Feb 1993. Switzerland Imports: Emerging Economies: Brazil data remains active status in CEIC and is reported by Swiss Federal Customs Administration. The data is categorized under Global Database’s Switzerland – Table CH.JA006 Imports: by Country.

In 2019, insurance premiums amounted to ***** U.S. dollars per capita in the Bahamas. Insurance density is used as an indicator for the development of insurance within a country and is calculated as ratio of total insurance premiums to whole population of a given country.

Insurance density in selected emerging countries

The insurance industry is an industry that has the ability to make significant financial contributions to a national economy. It contributes to the formation of national income by creating value added through the provision of indemnity and in its role as an institutional investor. As a country develops and its gross domestic product rises, the demand for insurance increases significantly as the macro-economic focus begins to shift or deviate from its earlier incarnation. A result of this sort of change, especially in a developing country, is often a rise in the level of disposable income. As income increases so does the rate of consumption and the level of affluence, this can have a direct effect on population development, density and urbanization, this, in turn, has inevitable sociocultural repercussions and an increased sense of risk aversion.

The future of the Bahamian insurance sector

Some economists make the case for the interrelation of insurance sector growth and economic development: economic growth leads to a rise in the demand for insurance; the growth of the insurance industry induces economic growth. The GDP in the Bahamas is forecast to continue its climb until at least 2024. The population is also set to grow over the next few years.

Total-Cashflows-From-Financing-Activities Time Series for Utilico Emerging Markets Ltd. Utilico Emerging Markets Trust PLC is a closed-ended balanced mutual fund launched and managed by ICM Investment Management Limited. The fund is co-managed by ICM Limited. It invests in the public equity and fixed income markets of emerging market countries across the globe. The fund seeks to invest in securities of companies operating in the infrastructure, utility, and related sectors. It primarily invests in value stocks of companies, as well as in convertible securities and bonds of various credit ratings. The fund focuses on businesses with essential service or monopolistic characteristics to create its portfolio. It benchmarks the performance of its portfolio against the MSCI Emerging Markets Total Return Index. The fund was formerly known as Utilico Emerging Markets Limited. Utilico Emerging Markets Trust PLC was formed on July 20, 2005 and is domiciled in United Kingdom.

The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing. Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF's International Financial Statistics. The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank's Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, "Economy Groupings," for more details. Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B-D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year. Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP. In many countries, fiscal data follow the IMF's Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing ("") of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending. The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF's Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions.

Index Time Series for MAYBANK EMERGING ETF. The frequency of the observation is daily. Moving average series are also typically included. Under normal circumstances, the fund seeks to achieve its investment objective by investing at least 80% of its net assets, which include borrowings for investment purposes, in the common and preferred stocks of companies located in emerging market countries. It seeks to invest in companies capable of sustainable growth based on the fundamental characteristics of those companies, including balance sheet information; number of employees; size and stability of cash flow; management"s depth, adaptability and integrity; product lines; marketing strategies; corporate governance; and financial health.