Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

The average for 2015 based on 158 countries was 27.78 percent. The highest value was in Zimbabwe: 67 percent and the lowest value was in Switzerland: 6.94 percent. The indicator is available from 1991 to 2015. Below is a chart for all countries where data are available.

Trend Market Economy is calculated based on data of Market Economy status index for 2016 and 2018 whether it is increasing or decreasing. Market Economy Status index is calculated taking account indicators like Level of Socioeconomic Development, Organization of the Market and Competition, Currency and Price Stability, Private Property, welfare regime, economic performance and sustainability. Market Economy Status index is one of indicators contributing for Bertelsmann Stiftung’s Transformation Index (BTI). The short description of Bertelsmann Stiftung’s Transformation Index (BTI)is given below :- Advocating reforms aimed at supporting the development of a constitutional democracy and a socially responsible market economy, the BTI provides the framework for an exchange of good practices among agents of reform. The BTI publishes two rankings, the Status Index and the Management Index, both of which are based on in-depth assessments of 129 countries. The Status Index ranks the countries according to the state of their democracy and market economy, while the Management Index ranks them according to their respective leadership’s management performance. Distributed among the dimensions of democracy, market economy and management, a total of 17 criteria are subdivided into 49 questions. BTI countries are selected according to the following criteria: They have yet to achieve a fully consolidated democracy and market economy, have populations of more than two million (excepting seven states chosen as particularly interesting cases), and are recognized as sovereign states. Quality/Lineage: The data is downloaded from the above link https://www.bti-project.org/en/data/ and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

China’s Protocol of Accession to the World Trade Organization, signed on December 2001, allowed other country members to consider China as a Non-Market Economy (NME) until the end of 2016. The aim of this article is to answer the following question: Can the Market Economy Status (MES) Recognition be measured in its compliance? The proxy used for that compliance was the number of antidumping investigations initiated per country. The expectation is that countries recognizing Chinese MES would initiate fewer antidumping investigations than countries still treating China as a NME. This would explain why the Chinese government has been campaigning vigorously since 2001 to gain MES among its economic partners. Using count-models, we demonstrate that MES had a positive impact in reducing the number of antidumping investigations against Chinese products.

Short-term business statistics (STS) give information on a wide range of economic activities. All STS data are index data. Additionally, annual absolute values are released for building permits indicators. Percentage changes are also available for each indicator: Infra-annual percentage changes - changes between two consecutive months or quarters - are calculated on the basis of non-adjusted data (prices) or calendar and seasonally adjusted data (volume and value indicators) and year-on-year changes - comparing a period to the same period one year ago - are calculated on the basis of non-adjusted data (prices and employment) or calendar adjusted data (volume and value indicators).

The index data are generally presented in the following forms:

• unadjusted
• calendar adjusted
• calendar and seasonally adjusted.

Depending on the EBS Regulation data are accessible as monthly, quarterly and annual data.

The STS indicators are listed below in five different sectors, reflecting the dissemination of these data in Eurostat’s online database “Eurobase”.

Based on the national data, Eurostat compiles short-term indicators for the EU and euro area. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of primary importance for the conduct of monetary and economic policy of the euro area. The PEEIs contributed by STS are marked with * in the text below.

The euro indicators are released through Eurostat's website.

INDUSTRY

• production (volume)*
• turnover: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic turnover into euro area and non-euro area is available for the euro area countries.
• producer prices (output prices)*: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic producer prices into euro area and non-euro area is available for the euro area countries.
• import prices*: Total, euro area market, Non euro area market (euro area countries only)
• labour input indicators: Number of employees and self-employed persons, Hours worked by employees, Gross wages and salaries

CONSTRUCTION

• production (volume)*
• building permits indicators*: number of dwellings, square meters of useful floor
• producer (output) prices in construction (if not available, they can be approximated by the construction costs variable)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

TRADE

• volume of sales (deflated turnover)*
• turnover (value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

SERVICES

• production (volume)*
• turnover (in value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries
• producer prices (output prices)*

MARKET ECONOMY

• total market production (volume)
• registrations
• bankruptcies

National reference metadata of the reporting countries are available in the Annexes to this metadata file.

Market Economy Status index is calculated taking account indicators like Level of Socioeconomic Development, Organization of the Market and Competition, Currency and Price Stability, Private Property, welfare regime, economic performance and sustainability. Market Economy Status index is one of indicators contributing for Bertelsmann Stiftung’s Transformation Index (BTI). The short description of Bertelsmann Stiftung’s Transformation Index (BTI)is given below :- Advocating reforms aimed at supporting the development of a constitutional democracy and a socially responsible market economy, the BTI provides the framework for an exchange of good practices among agents of reform. The BTI publishes two rankings, the Status Index and the Management Index, both of which are based on in-depth assessments of 129 countries. The Status Index ranks the countries according to the state of their democracy and market economy, while the Management Index ranks them according to their respective leadership’s management performance. Distributed among the dimensions of democracy, market economy and management, a total of 17 criteria are subdivided into 49 questions. BTI countries are selected according to the following criteria: They have yet to achieve a fully consolidated democracy and market economy, have populations of more than two million (excepting seven states chosen as particularly interesting cases), and are recognized as sovereign states. Quality/Lineage: The data is downloaded from the above link https://www.bti-project.org/en/data/ and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

Description:

This dataset provides key economic indicators from various countries between 2010 and 2023. The dataset includes monthly data on inflation rates, GDP growth rates, unemployment rates, interest rates, and stock market index values. The data has been sourced from reputable global financial institutions and is suitable for economic analysis, machine learning models, and forecasting economic trends.

Data Sources:

The data has been generated to simulate real-world economic conditions, mimicking information from trusted sources like: - World Bank for GDP growth and inflation data - International Monetary Fund (IMF) for macroeconomic data - OECD for labor market statistics - National Stock Exchanges for stock market index values

Columns:

1. Date: The specific date (in Year/Month/Day format) representing when the data was collected.
2. Country: The country the data pertains to (e.g., USA, Germany, Japan).
3. Inflation Rate (%): The rate of inflation for that country, showing how fast prices for goods and services are increasing.
4. GDP Growth Rate (%): The percentage growth of the country’s Gross Domestic Product (GDP), indicating economic expansion or contraction.
5. Unemployment Rate (%): The percentage of the working-age population that is unemployed.
6. Interest Rate (%): The central bank's interest rate, used to control inflation and influence the economy.
7. Stock Index Value: The value of the country’s main stock market index, reflecting the performance of the stock market.

Potential Uses: - Economic Analysis: Researchers and analysts can use this dataset to study trends in inflation, GDP growth, unemployment, and other economic factors. - Machine Learning: This dataset can be used to train models for predicting economic trends or market performance. Financial Forecasting: Investors and economists can leverage this data for forecasting market movements based on economic conditions. - Comparative Studies: The dataset allows comparisons across countries and regions, offering insights into global economic performance.

The average for 2021 based on 158 countries was 0.239 index points. The highest value was in Switzerland: 0.921 index points and the lowest value was in Democratic Republic of the Congo: 0 index points. The indicator is available from 1980 to 2021. Below is a chart for all countries where data are available.

Context:

The provided dataset is extracted from yahoo finance using pandas and yahoo finance library in python. This deals with stock market index of the world best economies. The code generated data from Jan 01, 2003 to Jun 30, 2023 that’s more than 20 years. There are 18 CSV files, dataset is generated for 16 different stock market indices comprising of 7 different countries. Below is the list of countries along with number of indices extracted through yahoo finance library, while two CSV files deals with annualized return and compound annual growth rate (CAGR) has been computed from the extracted data.

Number of Countries & Index:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F90ce8a986761636e3edbb49464b304d8%2FNumber%20of%20Index.JPG?generation=1688490342207096&alt=media" alt="">

Content:

Unit of analysis: Stock Market Index Analysis

This dataset is useful for research purposes, particularly for conducting comparative analyses involving capital market performance and could be used along with other economic indicators.

There are 18 distinct CSV files associated with this dataset. First 16 CSV files deals with number of indices and last two CSV file deals with annualized return of each year and CAGR of each index. If data in any column is blank, it portrays that index was launch in later years, for instance: Bse500 (India), this index launch in 2007, so earlier values are blank, similarly China_Top300 index launch in year 2021 so early fields are blank too.

The extraction process involves applying different criteria, like in 16 CSV files all columns are included, Adj Close is used to calculate annualized return. The algorithm extracts data based on index name (code given by the yahoo finance) according start and end date.

Annualized return and CAGR has been calculated and illustrated in below image along with machine readable file (CSV) attached to that.

To extract the data provided in the attachment, various criteria were applied:

1. Content Filtering: The data was filtered based on several attributes, including the index name, start and end date. This filtering process ensured that only relevant data meeting the specified criteria.

2. Collaborative Filtering: Another filtering technique used was collaborative filtering using yahoo finance, which relies on index similarity. This approach involves finding indices that are similar to other index or extended dataset scope to other countries or economies. By leveraging this method, the algorithm identifies and extracts data based on similarities between indices.

In the last two CSV files, one belongs to annualized return, that was calculated based on the Adj close column and new DataFrame created to store its outcome. Below is the image of annualized returns of all index (if unreadable, machine-readable or CSV format is attached with the dataset).

Annualized Return:

As far as annualised rate of return is concerned, most of the time India stock market indices leading, followed by USA, Canada and Japan stock market indices.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F37645bd90623ea79f3708a958013c098%2FAnnualized%20Return.JPG?generation=1688525901452892&alt=media" alt="">

Compound Annual Growth Rate (CAGR):

The best performing index based on compound growth is Sensex (India) that comprises of top 30 companies is 15.60%, followed by Nifty500 (India) that is 11.34% and Nasdaq (USA) all is 10.60%.

The worst performing index is China top300, however this is launch in 2021 (post pandemic), so would not possible to examine at that stage (due to less data availability). Furthermore, UK and Russia indices are also top 5 in the worst order.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F58ae33f60a8800749f802b46ec1e07e7%2FCAGR.JPG?generation=1688490409606631&alt=media" alt="">

Geography: Stock Market Index of the World Top Economies

Time period: Jan 01, 2003 – June 30, 2023

Variables: Stock Market Index Title, Open, High, Low, Close, Adj Close, Volume, Year, Month, Day, Yearly_Return and CAGR

File Type: CSV file

Inspiration:

• Time series prediction model
• Investment opportunities in world best economies
• Comparative Analysis of past data with other stock market indices or other indices

Disclaimer:

This is not a financial advice; due diligence is required in each investment decision.

As of 2025, there are **** official candidate countries for membership in the European Union, as well as Kosovo identified by the European Commission as a potential future candidate. A key element of the Copenhagen Criteria - the conditions which must be fulfilled to join the EU - is the existence of a functioning market economy in the candidate country, with the ability of the country to handle the strong competition and economic pressures which come with joining the European Single Market. While the political and administrative/institutional criteria have been considered the key stumbling block which has prevented the current candidate countries from progressing towards full membership, the current state of the economies of candidate countries is also a cause for concern. According to the most recently available data, all candidate countries have lower GDP per capita than even the poorest EU member state, Bulgaria. Ukraine, the newest candidate country, which was granted candidate status by the EU in response to Russia's invasion of the country in 2022, is the poorest candidate country, as measured by GDP per capita. This represents a serious issue, as the EU has never incorporated a country which is so far from the average economic standards of the Union. On the other hand, the chance to join the EU could provide an economic boost to Ukraine, or any other candidate country, as can be seen with the fast rising GDP per capita of countries which have joined the EU since 2004, such as Czechia, Hungary, and Poland.

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

ABSTRACT Food prices play a major role in setting inflation rates, and in recent years’ global climatic conditions has worsened a lot while global demand is increasing due to the growth of the middle class in countries such as China and India. Rising food prices remains a key concern for the government of Saudi Arabia. Saudi Arabia remains vulnerable to increases in food prices due to its high dependence on imports. The Saudi economy is an open-market based economy which is reflected by data of foreign trade with trading partners of the Kingdom. High degree of economic openness of a country causes the domestic inflation rate to be affected by change in the prices of goods in the country of origin. Saudi government is facing the challenge of limiting inflation amid a spike in global food prices. Another major challenge to the effectiveness of the Saudi monetary policy is the lack of autonomy due to the pegged exchange rate system with the US dollar. This paper attempts to study the market dynamics of the kingdom of Saudi Arabia, drivers responsible for inflation and measures that has been taken by the government to deal with the situation.

Lithuania had the largest digital economy among the Baltic countries, measured at **** billion euros in 2021. Furthermore, this value was expected to grow by **** percent between 2021 and 2030. Digital economies of Latvia and Estonia were expected to nearly double in size over that period.

Graph and download economic data for Financial Market: Share Prices for Euro Area (19 Countries) (SPASTT01EZQ661N) from Q1 1987 to Q3 2025 about stock market, Euro Area, and Europe.

The average for 2025 based on 174 countries was 60 index points. The highest value was in Singapore: 84 index points and the lowest value was in North Korea: 3 index points. The indicator is available from 1995 to 2025. Below is a chart for all countries where data are available.

With a Gross Domestic Product of over 4.3 trillion Euros, the German economy was by far the largest in Europe in 2024. The similarly sized economies of the United Kingdom and France were the second and third largest economies in Europe during this year, followed by Italy and Spain. The smallest economy in this statistic is that of the small Balkan nation of Montenegro, which had a GDP of 7.4 billion Euros. In this year, the combined GDP of the 27 member states that compose the European Union amounted to approximately 17.95 trillion Euros. The big five Germany’s economy has consistently had the largest economy in Europe since 1980, even before the reunification of West and East Germany. The United Kingdom, by contrast, has had mixed fortunes during the same period and had a smaller economy than Italy in the late 1980s. The UK also suffered more than the other major economies during the recession of the late 2000s, meaning the French economy was the second largest on the continent for some time afterward. The Spanish economy was continually the fifth-largest in Europe in this 38-year period, and from 2004 onwards, has been worth more than one trillion Euros. The smallest GDP, the highest economic growth in Europe Despite having the smallerst GDP of Europe, Montenegro emerged as the fastest growing economy in the continent, achieving an impressive annual growth rate of 4.5 percent, surpassing Turkey's growth rate of 4 percent. Overall,this Balkan nation has shown a remarkable economic recovery since the 2010 financial crisis, with its GDP projected to grow by 28.71 percent between 2024 and 2029. Contributing to this positive trend are successful tourism seasons in recent years, along with increased private consumption and rising imports. Europe's economic stagnation Malta, Albania, Iceland, and Croatia were among the countries reporting some of the highest growth rates this year. However, Europe's overall performance reflected a general slowdown in growth compared to the trend seen in 2021, during the post-pandemic recovery. Estonia experienced the sharpest negative growth in 2023, with its economy shrinking by 2.3% compared to 2022, primarily due to the negative impact of sanctions placed on its large neighbor, Russia. Other nations, including Sweden, Germany, and Finland, also recorded slight negative growth.

Throughout the world, democracy and a market economy have become powerful frameworks in which social sustainability can prosper. Successful processes of reform can be observed in every region of the globe. There are, however, no guarantees of success; many countries undergoing transformation face stagnation and power struggles or violence and even state failure. Good governance is pivotal to reform policies that work. What are the key decisions? What are the lessons to be learned from past experiences? What strategies are likely to succeed? Under which conditions? The BTI 2024 puts development and transformation policies to the test.

Advocating reforms aimed at supporting the development of a constitutional democracy and a socially responsible market economy, the BTI provides the framework for an exchange of good practices among agents of reform. The BTI publishes two rankings, the Status Index and the Governance Index, both of which are based on in-depth assessments of 137 countries. The Status Index ranks the countries according to the state of their democracy and market economy, while the Governance Index ranks them according to their respective leadership’s performance. Distributed among the dimensions of democracy, market economy and governance, a total of 17 criteria are subdivided into 49 questions.

BTI countries are selected according to the following criteria: They have yet to achieve a fully consolidated democracy and market economy, have populations of more than one million, and are recognized as sovereign states.

The Transformation Index project is managed by the Bertelsmann Stiftung.

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.

The Bertelsmann Stiftung’s Transformation Index (BTI) analyzes and evaluates the quality of democracy, a market economy and political management in 129 developing and transition countries. It measures successes and setbacks on the path toward a democracy based on the rule of law and a socially responsible market economy. This 2016 report for Vietnam covers the period from 1 February 2013 to 31 January 2015.

Judgement on current situation in life and political and economic development of the country in times of economic and social upheaval.

Topics: 1. Common part of the survey for all participating countries: most important problems of the country; intent to emigrate and country of choice; desired occupation for one´s own child; judgement on the job of the president of the country; concerns and desires for the future; assessment of current standard of living and comparison with the situation five years ago and expected future development; judgement on the situation of the country in comparison over time; preference for freedom or social security; attitude to admission of undemocratic parties; attitude to freedom of the press; perceived discrimination against women; attitude to division of labor in raising children; judgement on conduct of the parliamentary representatives and the attitude to democracy in the country (scale); feeling of political effectiveness; internal or external control; achievement orientation; attitude to the national economy; demand for increased environmental protection; desire for foreign support for one´s country; the government as guarantor of equal opportunities and social security; welfare state; necessity of the willingness to compromise in politics; interest in politics at municipal level; diminishing interest in political events; self-assessment as patriot; attitude to securing of peace through military strength; readiness for national defense; necessity of participation of one´s country in world politics; claims to territory in neighboring countries; attitude to restriction on immigration; attitude to use of military for restoration of world order.

Religion and morals: importance of prayer and significance of God in one´s own life; doubt in the existence of God; attitude to prohibition of books critical of society and to sex magazines and films; attitude to freedom of speech even for fascists; assessment of the general trustworthiness of people; AIDS as punishment by God; representation of traditional values in the area of family and marriage; attitude to abortion; clear concepts of Good and Evil; perceived intensification of class differences; assessment of personal things in common with uneducated and persons of another race or ethnic affiliation; satisfaction with one´s own financial situation.

Demography: party membership; union membership; residential status; city size; religiousness.

1. Additional questions in this survey: judgement on political and economic changes of the last few years; particularly positive and negative changes; attitude to introduction of a multi-party system and introduction of the free market economy; judgement on the speed of transition to the free market economy; assessment of the influence of the media and organizations as well as institutions on the country; assumed influence of foreign nations on one´s country; attitude to selected ethnic groups (Ukrainians, Germans, Jews, Lithuanians and Russians); perceived threat to the nation from within and without; judgement on the effects of social changes on the standard of living, moral concepts, public morals, dealing of people with one another and on the relation of ethnic groups with each another; judgement on the influence of the church; most reliable alliance partner for one´s country; countries from which the greatest threat originates; attitude to Gorbachev, Bush, the Pope, the UN and selected personalities of public life; most important fears; preference for forgetting or calling to account those responsible in the old regime; preference for replacement of key managers of the old regime; attitude to privatization of selected areas of the economy and civil service; attitude to free establishing of prices; acceptance of unemployment or preference for government guarantee of full-employment; attitude to a government-specified profit limitation; attitude to borrowing to finance durable economic goods; occupation within one´s own home; work satisfaction; satisfaction with employer; preference for capitalism or democratic (social) market economy; party preference; judgement on current position of women in comparison to their position in the old regime; preference for national defense in an alliance or with individually concluded peace treaties; judgement on the level of defense expenditures; attitude to export of weapons into third world countries; attitude to advertising (scale); acceptance of advertisi...