Estonia, Latvia, and Lithuania had the highest value of digital economy as a share of gross domestic product (GDP) among the presented Central and Eastern European (CEE) countries, at ** percent each in 2021. To compare, in Czechia, the value of digital economy represented ***** percent of GDP.

Dataset Overview

This dataset provides a comprehensive overview of internet usage across countries as of 2024. It includes data on the percentage of the population using the internet, sourced from multiple organizations such as the World Bank (WB), International Telecommunication Union (ITU), and the CIA. The dataset covers all United Nations member states, excluding North Korea, and provides insights into internet penetration rates, user counts, and trends over recent years. The data is derived from household surveys and internet subscription statistics, offering a reliable snapshot of global digital connectivity.

Data Science Applications

This dataset can be used in various data science applications, including: - Digital Divide Analysis: Evaluate disparities in internet access between developed and developing nations. - Trend Analysis: Study the growth of internet penetration over time across different regions. - Policy Recommendations: Assist policymakers in identifying underserved areas and strategizing for improved connectivity. - Market Research: Help businesses identify potential markets for digital products or services. - Correlation Studies: Analyze relationships between internet penetration and socioeconomic indicators like GDP, education levels, or urbanization.

Column Descriptors

The dataset contains the following columns: 1. Location: Country or region name. 2. Rate (WB): Percentage of the population using the internet (World Bank data). 3. Year (WB): Year corresponding to the World Bank data. 4. Rate (ITU): Percentage of the population using the internet (ITU data). 5. Year (ITU): Year corresponding to the ITU data. 6. Users (CIA): Estimated number of internet users in absolute terms (CIA data). 7. Year (CIA): Year corresponding to the CIA data. 8. Notes: Additional notes or observations about specific entries.

Ethically Mined Data

The data has been sourced from publicly available and reputable organizations such as the World Bank, ITU, and CIA. These sources ensure transparency and ethical collection methods through household surveys and official statistics. The dataset excludes North Korea due to limited reliable information on its internet usage.

Acknowledgements

This dataset is based on information compiled from: - World Bank - International Telecommunication Union - CIA World Factbook - Wikipedia's "List of countries by number of Internet users" page

Special thanks to these organizations for providing open access to this valuable information, enabling deeper insights into global digital connectivity trends.

Citations: [1] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users [2] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users

This statistic shows the internet economy as a share of GDP in Southeast Asia in 2018, sorted by selected countries. In that year, the internet economy as a share of GDP in Indonesia amounted to approximately *** percent of the nation's GDP.

The One Belt One Road Initiative (BRI) has been the subject of multitudinous studies from various angles. Most previous studies have focused on BRI’s economic, geopolitical, or commercial implications for China. However, the few studies that focused on BRI’s influence on the exportations or importations of Chinese products via the Chinese Cross-border Electronic Commerce Market (CCBECM) have been carried out based only on authors’ opinions rather than on empirical evidence. Therefore, the actual effect of BRI on the exportations of Chinese product brands via CCBECM in BRI countries still needs to be discovered. Utilizing B2C exportation data of Chinese smartphones and a Difference-in Difference Model (DIDM), we have first examined the actual and direct impact of BRI policy on Chinese smartphone brands exportations via the Chinese Cross-border Electronic Commerce Market (CCBECM) from 2012 to 2019 in BRI countries. Secondly, we assessed the moderating role of GDP per capita (GDP) and Internet Access Rate (IAR) between BRI policy and exportations of Chinese smartphone brands. The results showed that the impact of BRI remains insignificant on the exportations of Chinese smartphones via CCBECM in BRI countries. However, it could be significant if BRI includes more developed and economically strong countries. The study also highlighted a negative moderating role of GDP per capita between BRI policy and exportations, showing that the higher the BRI effect is, the less GDP per capita will influence Chinese smartphone exportations in BRI countries.

About this Dataset

This dataset contains 25 columns which are: 1. Country: Corresponding country. 2. Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population): Poverty in country. 3. Life expectancy at birth, total (years): Expected life from birth. 4. Population, total: Population of Country. 5. Population growth (annual %): Population growth each year. 6. Net migration: is the difference between the number of immigrants and the number of emigrants divided by the population. 7. Human Capital Index (HCI) (scale 0-1): is an annual measurement prepared by the World Bank. HCI measures which countries are best in mobilizing their human capital, the economic and professional potential of their citizens. The index measures how much capital each country loses through lack of education and health. 8. GDP (current US$)current US$constant US$current LCUconstant LCU: Gross domestic product is a monetary measure of the market value of all the final goods and services produced in a specific time period by a country or countries. 9. GDP per capita (current US$)current US$constant US$current LCUconstant LCU: the sum of gross value added by all resident producers in the economy plus any product taxes (less subsidies) not included in the valuation of output, divided by mid-year population. 10. GDP growth (annual %): The annual average rate of change of the gross domestic product (GDP) at market prices based on constant local currency, for a given national economy, during a specified period of time. 11. Unemployment, total (% of total labor force) (modeled ILO estimate) 12. Inflation, consumer prices (annual %) 13. Personal remittances, received (% of GDP) 14. CO2 emissions (metric tons per capita) 15. Forest area (% of land area) 16. Access to electricity (% of population) 17. Annual freshwater withdrawals, total (% of internal resources) 18. Electricity production from renewable sources, excluding hydroelectric (% of total) 19. People using safely managed sanitation services (% of population) 20. Intentional homicides (per 100,000 people) 21. Central government debt, total (% of GDP) 22. Statistical performance indicators (SPI): Overall score (scale 0-100) 23. Individuals using the Internet (% of population) 24. Proportion of seats held by women in national parliaments (%) 25. Foreign direct investment, net inflows (% of GDP): is when an investor becomes a significant or lasting investor in a business or corporation in a foreign country, which can be a boost to the global economy.

Category

Economic

Keywords

Row Count

217

Price

$5.50

The One Belt One Road Initiative (BRI) has been the subject of multitudinous studies from various angles. Most previous studies have focused on BRI’s economic, geopolitical, or commercial implications for China. However, the few studies that focused on BRI’s influence on the exportations or importations of Chinese products via the Chinese Cross-border Electronic Commerce Market (CCBECM) have been carried out based only on authors’ opinions rather than on empirical evidence. Therefore, the actual effect of BRI on the exportations of Chinese product brands via CCBECM in BRI countries still needs to be discovered. Utilizing B2C exportation data of Chinese smartphones and a Difference-in Difference Model (DIDM), we have first examined the actual and direct impact of BRI policy on Chinese smartphone brands exportations via the Chinese Cross-border Electronic Commerce Market (CCBECM) from 2012 to 2019 in BRI countries. Secondly, we assessed the moderating role of GDP per capita (GDP) and Internet Access Rate (IAR) between BRI policy and exportations of Chinese smartphone brands. The results showed that the impact of BRI remains insignificant on the exportations of Chinese smartphones via CCBECM in BRI countries. However, it could be significant if BRI includes more developed and economically strong countries. The study also highlighted a negative moderating role of GDP per capita between BRI policy and exportations, showing that the higher the BRI effect is, the less GDP per capita will influence Chinese smartphone exportations in BRI countries.

This is the data used in the research "Complexity, Inequality, and Internet". Inequality is quantified using the Gini coefficient after taxes and transfers, sourced from the Standardized World Income Inequality Database, incorporating data from the OECD, World Bank, and ECLAC (Solt, 2020). Explanatory variables include the Economic Complexity Index (ECI) from the Atlas of Economic Complexity (The Growth Lab at Harvard University, 2019), normalized within a range of -3 to +3; real GDP per capita in 2017 US dollars from the Penn World Table (Feenstra, et al., 2015); and internet access, measured as the percentage of the population using this service (The World Bank, 2023). The dataset comprises 126 countries with data spanning from 1995 to 2020.

This data is presented in CSV and XLSX formats for further review.

countries that start with J. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

All data are expressed as a percentage, except for GDP per capita, net wages, total population, life expectancy, expected years of education, average years of schooling, life and non-life premium, total premium, bank deposits, financial assets and deposits of insurance companies, which are expressed in absolute terms.

Source of data:

Data on Life and Non-life premium, Total (gross) premium, Premium reserve data, Financial assets and Deposits of insurance companies are collected from the official reports of insurance supervision agencies: Insurance Supervision Agency in Montenegro (http://www.ano.me/en/), Croatian Financial Services Supervisory Agency (https://www.hanfa.hr/en/), National Bank of Serbia (https://www.nbs.rs/internet/english/, Insurance Supervision Agency of North Macedonia (http://aso.mk/en/?lang=en) and Financial Supervisory Authority in Albania (https://amf.gov.al/).

The economic indicators for the observed Western Balkan countries (GDP per capita, unemployment rate, inflation rate, net earnings and average effective deposit interest rate) are taken from the website Eurostat (https://ec.europa.eu/eurostat) and Statista (https://www.statista.com/)

All demographic indicators, except for the expected and average years of schooling and education index, were collected from the Eurostat and UNDP database (https://ec.europa.eu/eurostat/data/database; http://hdr.undp.org/en/countries/profiles/ ).

Data on expected and average school years were taken from the UNESCO Institute for Statistics (http://uis.unesco.org) , while the education index was obtained as a result of a calculation based on a formula published on the UNDP website (http://hdr.undp.org/en/content/education-index).

Data on bond yield were collected from the website of European Commission (https://ec.europa.eu/), i.e. from EC reports - EU Candidate Countries’ & Potential Candidates’ Economic Quarterly (CCEQ), except two data for Serbia (2006 and 2007) which were estimated by Makima extrapolation.

Bank deposits data are taken from the official reports of banks' regulatory institutions: Central bank of Montenegro (https://www.cbcg.me/en), National bank of Serbia (https://www.nbs.rs/en/indeks/), Croatian National bank (https://www.hnb.hr/en/home), National bank of the Republic of North Macedonia (https://www.nbrm.mk/pocetna-en.nspx); Bank of Albania (https://www.bankofalbania.org/home/)

Description of columns:

f1-GDPper capita; f2- Unemployment (%); f3-Inflation rate (%); f4- Net Wages €; f5- Deposit rate (%); f6- Population; f7- Female (%); f8- Population <15 (%); f9- Population 15-64 (%); f10- Dep old (%); f11- Dep young (%); f12- Urban population (%); f13-Life exp. (years); f14- Preschool enroll rate (%); f15- Elem school enroll rate (%); f16-High school enroll rate (%); f17- University enroll rate (%); f18- Expected years of schooling; f19- Avg. years of schooling; f20- Education Index (%); f21- Fertility rate (number of children to a woman); f22- Birth rate (per 1000 inhabitants); f23- Health costs (% GDP); f24-premium reserve per GDP,

i1- life premium €; i2- non-life premium €; i3- total premium €; i4- bond yield (%); i5a- bank deposits ( national currency); i5b- bank deposits €; i6a-financial assets in insurance (national currency); i6b- financial assets in insurance €; i7a- deposits of insurers (national currency); i7b –deposit of insurers €

According to Cognitive Market Research, the global Mobile Point of Sale Terminals market size will be USD 49245 million in 2025. It will expand at a compound annual growth rate (CAGR) of 12.40% from 2025 to 2033.

North America held the major market share for more than 40% of the global revenue with a market size of USD 18220.6 million in 2025 and will grow at a compound annual growth rate (CAGR) of 10.8% from 2025 to 2033.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 14281.0 million.
APAC held a market share of around 23% of the global revenue with a market size of USD 11818.8 million in 2025 and will grow at a compound annual growth rate (CAGR) of 15.3% from 2025 to 2033.
South America has a market share of more than 5% of the global revenue with a market size of USD 1871.3 million in 2025 and will grow at a compound annual growth rate (CAGR) of 13.1% from 2025 to 2033.
Middle East had a market share of around 2% of the global revenue and was estimated at a market size of USD 1969.8 million in 2025 and will grow at a compound annual growth rate (CAGR) of 13.7% from 2025 to 2033.
Africa had a market share of around 1% of the global revenue and was estimated at a market size of USD 1083.3 million in 2025 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2025 to 2033.
Restaurants is the fastest growing segment of the Mobile Point of Sale Terminals industry

Market Dynamics of Mobile Point of Sale Terminals Market

Key Drivers for Mobile Point of Sale Terminals Market

Increasing Adoption of Smartphones and Tablets to Boost Market Growth

The widespread adoption of smartphones and tablets is a primary driver for the mPOS market, with 5.6 billion people (69% of the global population) subscribing to mobile services by the end of 2023, marking an increase of 1.6 billion since 2015. Mobile internet penetration has grown even faster, with 58% of the global population using mobile internet, totaling 4.7 billion users, an increase of 2.1 billion since 2015. Mobile technologies and services contributed 5.4% to global GDP in 2023. As smartphones and tablets are increasingly equipped with features like NFC, Bluetooth, and Wi-Fi, they can function as mPOS terminals. These devices are more affordable and accessible than traditional POS systems, making mPOS solutions a viable option for small businesses, startups, and even large retail chain.

https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-economy/wp-content/uploads/2024/02/260224-The-Mobile-Economy-2024.pdf/

Growth in Cashless Transactions to Boost Market Growth

The shift toward cashless and digital payments has significantly fueled the growth of the mPOS market. Mobile wallet payments, including purchases and person-to-person (P2P) transfers, saw strong growth, reaching 14.4 billion transactions in 2022, up from 2.9 billion in 2018, surpassing the 11.2 billion check transactions estimated for 2021. In 2022, 55.9% of the 13.8 billion mobile wallet purchases were made via in-person merchant terminals, compared to a 50-50 split in 2018. P2P and money transfer payments also grew, reaching 9.5 billion in 2022, up from 1.6 billion in 2018. This growth is driven by increasing consumer preference for contactless payments due to their convenience, speed, and security, as well as government initiatives promoting cashless transactions to reduce physical money handling costs, improve security, and combat tax evasion.

https://www.federalreserve.gov/paymentsystems/fr-payments-study.htm#:~:text=Mobile%20wallet%20payments%2C%20mostly%20purchases,and%2049.3%20percent%20by%20value/

Restraint Factor for the Mobile Point of Sale Terminals Market

Security concerns, Will Limit Market Growth

Security remains a major concern for both businesses and consumers regarding mobile payment solutions. Key security challenges in the mPOS market include the risk of data breaches, as mobile devices are vulnerable to cyberattacks, which can lead to financial losses and reputational damage. Fraud risk is another issue, with mPOS systems, particularly in regions with less developed payment infrastructures, being susceptible to card cloning, identity theft, and unauthorized transactions. Additionally, ensuring compliance with security standards like PCI DSS (Payment Card Industry Data Security Standard) is a complex and costly task for mPOS providers, especially when mana...

Global Sharing Economy market size was USD 145.22 Billion in 2022. Sharing Economy Industry's Compound Annual Growth Rate will be 32.6% from 2023 to 2030. What is driving the Sharing Economy Market?

The proliferation of advanced digital platforms and devices

In recent years, the sharing economy has changed the way individuals share and conduct transactions in digital areas. The recent technological advancements have enabled transactions to take place on demand, to be precisely measurable in time and thus more scalable, and to be dynamically matched through an online platform. Advanced digital platforms and devices, such as smartphones and high-speed internet, have increased connectivity. This connectivity enables sharing economy platforms to connect providers and consumers effortlessly. People can easily access sharing economy services through mobile apps or websites, facilitating resource and service sharing. Digital platforms provide users with easy access to information about available resources and services. Through sharing economy platforms, individuals can quickly find and compare options, making it convenient to rent or share assets. The availability of detailed listings, photos, reviews, and ratings helps users make informed decisions and build trust in the sharing economy ecosystem. The companies in the sharing economy are growing as a result of profound shifts in consumer behavior. One of the major players in sharing economy is Uber which has in just a few years completely transformed industries and became the largest player in the sharing economy. Uber manages around 157 000 rides globally on an average day. According to Uber, 131 million people used Uber in 2022, an 11% increase by 2021. Moreover, the increasing adoption of smartphones is supporting the growth of the sharing economy. Smartphones provide individuals with constant access to sharing economy platforms, enabling on-the-go booking, real-time communication with service providers, and instant updates. The convenience and mobility offered by smartphones have significantly expanded the reach and usage of sharing economy services. According to the source GSMA Intelligence, smartphones accounted for 68% of total mobile connections in 2020,8 compared to 64% in 2019 and 47% in 2016 across the world. Thus, the increasing usage of smartphones globally led to adopt the digital platforms, which in turn fuels the growth of the sharing economy. Furthermore, the development of advanced digital platforms prioritizes user experience and offers intuitive interfaces by allowing individuals to easily navigate and interact with the platforms. Companies are increasingly expanding their business in the shared mobility industry and developing innovative platforms for users. For instance, Force Motors launched a next-generation shared mobility platform called Urbania. The simplicity and convenience of these platforms make it easy for users to engage in sharing activities, accelerating the growth of the sharing economy market. These technological advancements for the development of cost-effective products have been contributing to driving the growth and adoption of sharing economy services.

Changing consumer preferences fuels the market growth


Rising focus on sustainability and environmental consciousness (Access Detailed Analysis in the Full Report Version)


Substantial growth of the entertainment industry (Access Detailed Analysis in the Full Report Version)

Introduction of Sharing Economy

The sharing economy is an economic model defined as a peer-to-peer (P2P) based activity of providing, acquiring, or sharing access to goods and services that is often facilitated by a community-based online platform. Sharing economy (SE) is a relatively new field of economics, gaining more traction from various industries. It has several applications in materials, transportation, hospitality, and sharing of information and knowledge. SE is related to various economic and environmental aspects such as sustainability, environment-friendly practices, circularity, less production, and more responsible use of resources. Sharing economy helps connect goods and services seekers with their providers using technology. It helps businesses reduce costs and increase efficiency along with environment-friendly choices for consumers. Further, some prominent factors that led to the boost of economy sharing are...

Associated with manuscript titled: Fifty Muslim-majority countries have fewer COVID-19 cases and deaths than the 50 richest non-Muslim countriesThe objective of this research was to determine the difference in the total number of COVID-19 cases and deaths between Muslim-majority and non-Muslim countries, and investigate reasons for the disparities. Methods: The 50 Muslim-majority countries had more than 50.0% Muslims with an average of 87.5%. The non-Muslim country sample consisted of 50 countries with the highest GDP while omitting any Muslim-majority countries listed. The non-Muslim countries’ average percentage of Muslims was 4.7%. Data pulled on September 18, 2020 included the percentage of Muslim population per country by World Population Review15 and GDP per country, population count, and total number of COVID-19 cases and deaths by Worldometers.16 The data set was transferred via an Excel spreadsheet on September 23, 2020 and analyzed. To measure COVID-19’s incidence in the countries, three different Average Treatment Methods (ATE) were used to validate the results. Results published as a preprint at https://doi.org/10.31235/osf.io/84zq5(15) Muslim Majority Countries 2020 [Internet]. Walnut (CA): World Population Review. 2020- [Cited 2020 Sept 28]. Available from: http://worldpopulationreview.com/country-rankings/muslim-majority-countries (16) Worldometers.info. Worldometer. Dover (DE): Worldometer; 2020 [cited 2020 Sept 28]. Available from: http://worldometers.info

countries that start with B. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

Southeast Asia (SEA)'s internet economy is poised for significant growth, with Indonesia leading the charge. In 2024, Indonesia's internet economy was estimated to reach ** billion U.S. dollars in gross merchandise value (GMV), far surpassing other countries in the region. Singapore, despite its smaller size, generated GMV of approximately ** billion U.S. dollars. E-commerce: the largest segment of SEA’s internet economy Key segments of SEA’s internet economy include e-commerce, online travel, online ride-hailing and food delivery, and online media. Among these, e-commerce is the largest segment, with its GMV estimated to reach nearly *** billion USD in 2024. According to an online survey, more than **** of respondents in Southeast Asia preferred online shopping compared to ** percent favoring in-store shopping. Online marketplaces such as Shopee, Lazada, and Tokopedia are the most popular in the region. As of 2023, Shopee was SEA’s leading e-commerce platform by GMV. E-commerce market size by country Indonesia, the most populous country in SEA, evidently has the largest e-commerce market in the region. In 2024, its e-commerce GMV amounted to approximately ** billion U.S. dollars and is forecasted to reach *** billion U.S. dollars 2030, driven by a rapidly expanding e-commerce user base in Indonesia. Meanwhile, Thailand, Vietnam, the Philippines have relatively comparable e-commerce market sizes, with Malaysia’s and Singapore’s being smaller in comparison. These Southeast Asian e-commerce markets are expected to continue growing in the next few years; however, Indonesia, Thailand, Vietnam, and the Philippines are projected to grow at a much faster pace compared to Malaysia and Singapore.

countries Currency Honduran lempira. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

countries Main continent America. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

Internet sales have played an increasingly significant role in retailing. In 2024, e-commerce accounted for over ** percent of retail sales worldwide. Forecasts indicate that by 2029, the online segment will make up close to over ** percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************** U.S. dollars, a figure expected to exceed **** trillion U.S. dollars by 2028. Digital development in Latin America boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the region. So much so that Brazil and Argentina appear to lead the world's fastest-growing online retail markets. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditioe-comernal fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The average order value of online shopping via smartphones and tablets still lags traditional e-commerce via desktop computers. However, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2021, Malaysia was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. South Korea, Taiwan, and the Philippines completed the top of the ranking.

American countries. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

African countries. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

countries Currency Chilean peso. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym