In 2025, there were around 1.53 billion people worldwide who spoke English either natively or as a second language, slightly more than the 1.18 billion Mandarin Chinese speakers at the time of survey. Hindi and Spanish accounted for the third and fourth most widespread languages that year. Languages in the United States The United States does not have an official language, but the country uses English, specifically American English, for legislation, regulation, and other official pronouncements. The United States is a land of immigration, and the languages spoken in the United States vary as a result of the multicultural population. The second most common language spoken in the United States is Spanish or Spanish Creole, which over than 43 million people spoke at home in 2023. There were also 3.5 million Chinese speakers (including both Mandarin and Cantonese),1.8 million Tagalog speakers, and 1.57 million Vietnamese speakers counted in the United States that year. Different languages at home The percentage of people in the United States speaking a language other than English at home varies from state to state. The state with the highest percentage of population speaking a language other than English is California. About 45 percent of its population was speaking a language other than English at home in 2023.

Mexico is the country with the largest number of native Spanish speakers in the world. As of 2024, 132.5 million people in Mexico spoke Spanish with a native command of the language. Colombia was the nation with the second-highest number of native Spanish speakers, at around 52.7 million. Spain came in third, with 48 million, and Argentina fourth, with 46 million. Spanish, a world language As of 2023, Spanish ranked as the fourth most spoken language in the world, only behind English, Chinese, and Hindi, with over half a billion speakers. Spanish is the official language of over 20 countries, the majority on the American continent, nonetheless, it's also one of the official languages of Equatorial Guinea in Africa. Other countries have a strong influence, like the United States, Morocco, or Brazil, countries included in the list of non-Hispanic countries with the highest number of Spanish speakers. The second most spoken language in the U.S. In the most recent data, Spanish ranked as the language, other than English, with the highest number of speakers, with 12 times more speakers as the second place. Which comes to no surprise following the long history of migrations from Latin American countries to the Northern country. Moreover, only during the fiscal year 2022. 5 out of the top 10 countries of origin of naturalized people in the U.S. came from Spanish-speaking countries.

In 2023, around 43.37 million people in the United States spoke Spanish at home. In comparison, approximately 998,179 people were speaking Russian at home during the same year. The distribution of the U.S. population by ethnicity can be accessed here. A ranking of the most spoken languages across the world can be accessed here.

Papua New Guinea is the most linguistically diverse country in the world. As of 2025, it was home to 840 different languages. Indonesia ranked second with 709 languages spoken. In the United States, 335 languages were spoken in that same year.

Context

This is a dataset I found online through the Google Dataset Search portal.

Content

The American Community Survey (ACS) 2009-2013 multi-year data are used to list all languages spoken in the United States that were reported during the sample period. These tables provide detailed counts of many more languages than the 39 languages and language groups that are published annually as a part of the routine ACS data release. This is the second tabulation beyond 39 languages since ACS began.

The tables include all languages that were reported in each geography during the 2009 to 2013 sampling period. For the purpose of tabulation, reported languages are classified in one of 380 possible languages or language groups. Because the data are a sample of the total population, there may be languages spoken that are not reported, either because the ACS did not sample the households where those languages are spoken, or because the person filling out the survey did not report the language or reported another language instead.

The tables also provide information about self-reported English-speaking ability. Respondents who reported speaking a language other than English were asked to indicate their ability to speak English in one of the following categories: "Very well," "Well," "Not well," or "Not at all." The data on ability to speak English represent the person’s own perception about his or her own ability or, because ACS questionnaires are usually completed by one household member, the responses may represent the perception of another household member.

These tables are also available through the Census Bureau's application programming interface (API). Please see the developers page for additional details on how to use the API to access these data.

Acknowledgements

Sources:

Google Dataset Search: https://toolbox.google.com/datasetsearch

2009-2013 American Community Survey

Original dataset: https://www.census.gov/data/tables/2013/demo/2009-2013-lang-tables.html

Downloaded From: https://data.world/kvaughn/languages-county

Banner and thumbnail photo by Farzad Mohsenvand on Unsplash

Statistics of the Languages spoken in South Africa. For each language, we report the ISO, the African subfamily, and the prevalent countries where the language is also spoken.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

The United States is the non-hispanic country with the largest number of native Spanish speakers in the world, with approximately 41.89 million people with a native command of the language in 2024. However, the European Union had the largest group of non-native speakers with limited proficiency of Spanish, at around 28 million people. Furthermore, Mexico is the country with the largest number of native Spanish speakers in the world as of 2024.

Context:

There are over 7,000 human languages in the world. The World Atlas of Language Structures (WALS) contains information on the structure of 2,679 of them. It also includes information about where languages are used. WALS is widely-cited and used in the linguistics research community.

Content:

The World Atlas of Language Structures (WALS) is a large database of structural (phonological, grammatical, lexical) properties of languages gathered from descriptive materials (such as reference grammars) by a team of 55 authors. The atlas provides information on the location, linguistic affiliation and basic typological features of a great number of the world's languages

WALS Online is a publication of the (Max Planck Institute for Evolutionary Anthropology)[http://www.eva.mpg.de/]. It is a separate publication, edited by Dryer, Matthew S. & Haspelmath, Martin (Leipzig: Max Planck Institute for Evolutionary Anthropology, 2013) The main programmer is Robert Forkel.

This dataset includes three files:

• source.bib: A BibTex file with all of the sources cited in the dataset in it
• language.csv: A file with a list of all the languages included in WALS
• wals-data.csv: A file containing information on the features associated with each individual language

Acknowledgements:

This dataset is licensed under a Creative Commons Attribution 4.0 International License .

The World Atlas of Language Structures was edited by Matthew Dryer and Martin Haspelmath. If you use this data in your work, please include the following citation:

Dryer, Matthew S. & Haspelmath, Martin (eds.) 2013. The World Atlas of Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at http://wals.info, Accessed on September 7, 2017.)

Inspiration:

• This dataset was designed to make interactive maps of language features. Can you make an interactive map that shows different linguistic features? You might find it helpful to use Leaflet (for R) or Plotly (for Python). This blog post is a great resource to help you get started.
• There’s a lot of discussion of “linguistic universals” in linguistics. These are specific features that every language (should) have. Can you identify any features that you think may be universals from this dataset?

You may also like:

• Atlas of Pidgin and Creole Language Structures: Information on 76 Creole and Pidgin Languages
• World Language Family Map
• The Sign Language Analyses (SLAY) Database

R scripts (numbered from 1 to 9) to prepare data, perform calculations, and run analyses for the projection of speaker numbers for 27 Indigenous languages of Canada between the years 2001 and 2101. Contains data on first language collected during the censuses of 2001, 2006, 2011, 2016, and 2021 provided by Statistics Canada.Contains fertility and mortality schedules taken from the 2022 World Population Prospects (UN). Contains other data files that were produced from the data and calculations described above.

​ “Middle East” LanguagesIndependent StudyFebruary 16, 2012Amanda DoyleCo-authors: Kevin Ragborg, Marc Puricelli, and Maria LindellDespite the relatively small geographical size of the “Middle East,” there is great diversity of the spoken languages within the region. The most common spoken language of the “Middle East” is Arabic, a Semitic language closely related to Hebrew that was developed beginning in the 8th century BC. Currently, around 280 million people speak Arabic in the regions of the “Middle East” and North Africa encompassing the countries between Morocco to Iraq. The Qur’an, the central religious text of Islam, is only allowed to be written in Arabic, giving the language a very important role in the Muslim world. Different from some other languages, there are many different dialects of Arabic, which can make it difficult for speakers from different areas of the Arabic speaking world to understand one another3. The next major language of the Middle East is Persian or Farsi, the national language of Iran. Persian is spoken by an estimated 65 million people, most of which are concentrated in Iran but there are significant Persian speaking populations in Afghanistan and the United Arab Emirates. Younger than Arabic, Persian was developed around 400 BC and is closely related to Hindi and Urdu. There are three main dialects of Persian: Iranian Persian (spoken in Iran), Dari Persian (spoken in Afghanistan) and Tajik Persian (spoken in Tajikistan.) 4Hebrew is spoken by roughly 3.8 million people in the “Middle East,” but this population is now concentrated in Israel and the neighboring countries. Though, not all Jews, even Israeli Jews, speak Hebrew since centuries ago, Hebrew ceased being a working language; however, due to Jewish nationalism, the Zionist movement, and the need for a unifying language between immigrants into Israel the language has been revived. Turkish, the national language of Turkey and the main spoken language of the Turkish nation is also spoken by roughly 170,000 people in Cyprus and by minorities in the Fertile Crescent area. Kurdish is the language that unifies the Kurds, a nation that spans a large geographical range from Beirut to Afghanistan. Additionally, almost all countries in the “Middle East” have several minority languages, such as Berber, spoken by many North Africans, including some parts of northwestern Egypt. Azeri, a minority Turkic language, is often spoken in northwestern Iran. Turkish tribes in the southern Zagros Mountains in Iran speak Qashqai, while Baluchi is spoken in southeastern and eastern Iran by the Baluch peoples and migrants in United Arab Emirates and Oman. Nomadic tribes in the Zagros Mountains can be found speaking Luri. Lastly, Armenian, due to its historical significance is spoken by minorities in urban centers such as Beirut, Damascus, Aleppo, Tehran, and Cairo1.Works Cited (1) Held, Colbert C. Middle East Patterns – Places, Peoples and Politics. 2nd ed. Westview Press, Inc.: Boulder, Co, 1994, pgs. 76-80.(2) The World Factbook. Central Intelligence Agency. 2011. https://www.cia.gov/library/publications/the-world-factbook/fields/2098.html?countryName=Jordan&countryCode=jo&regionCode=me&#jo.(3) "Learn Arabic - All About the Arabic Language." Innovative Language Learning. Web. 28 Mar. 2011. http://innovativelanguage.com/languagelearning/arabic-language.(4) UCLA, Language Materials Projects. "Persian Language." Iran Chamber Society. Web. 29 Mar. 2011. http://www.iranchamber.com/literature/articles/persian_language.php.

As of February 2025, English was the most popular language for web content, with over 49.4 percent of websites using it. Spanish ranked second, with six percent of web content, while the content in the German language followed, with 5.6 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

Columns represent the following data: and are the (logarithmic) averages of population size and area; corresponds to the slope of the major ellipse axis relating and , and measures their degree of correlation. Errors in both variables are shown. The values of and correspond to model parameters yielding the measured values of and within the estimated interval.

Native Language Dubbing Market Outlook

The global market size for native language dubbing was valued at approximately USD 3.4 billion in 2023 and is projected to reach USD 6.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. The substantial growth of this market is driven by the increasing demand for localized content across various media platforms, alongside the rising penetration of online streaming services worldwide.

One of the key growth factors for the native language dubbing market is the surge in the consumption of multimedia content. As globalization increases, audiences prefer content in their native languages to enhance the viewing experience. This trend is particularly evident in non-English speaking countries where localized content garners more substantial viewership, thereby driving the demand for dubbing services. Furthermore, the advent of advanced dubbing technologies has made it easier and more cost-effective to produce high-quality dubbed content, thereby propelling market growth.

Another significant factor contributing to the market's expansion is the growth of the entertainment industry. With more international movies and TV shows being produced, there is an increased need to make this content accessible to diverse linguistic audiences. The entertainment industry, therefore, greatly benefits from native language dubbing services, enabling it to reach broader audiences. Additionally, the rise of global media conglomerates and international co-productions further fuels the need for dubbing services, as these entities aim to cater to a global audience with varied linguistic preferences.

The proliferation of online streaming platforms such as Netflix, Amazon Prime, and Disney+ is another critical driver of the native language dubbing market. These platforms have revolutionized content consumption patterns, offering a multitude of international content that requires localization for different regions. The competitive edge of these streaming platforms often lies in their ability to provide a personalized viewing experience, which includes offering content in the native language of the viewer. This trend is expected to continue, thereby significantly boosting the demand for dubbing services.

Regionally, the Asia Pacific market is anticipated to witness the fastest growth, attributed to its large and diverse linguistic population. Countries like India and China, with their numerous regional languages, present a vast market for native language dubbing services. North America and Europe also hold substantial market shares due to the presence of established entertainment industries and high consumer spending on media and entertainment. The increased focus on content localization in these regions further supports market growth. Meanwhile, Latin America and the Middle East & Africa are emerging markets with promising growth potential, driven by the increasing popularity of international content and the need for localization.

Content Type Analysis

In the native language dubbing market, content type plays a pivotal role, with movies, TV shows, documentaries, advertisements, and others being the primary segments. Movies represent a significant portion of the market due to the global nature of the film industry. Major film studios are increasingly focusing on international releases, necessitating high-quality dubbing to cater to non-English speaking audiences. This trend is particularly strong in countries with large film industries, such as India and China, where regional language films dominate the box office. Additionally, the availability of dubbed movies on streaming platforms has further amplified the demand for dubbing services.

TV shows are another critical segment, primarily driven by the rise of international television series that are gaining popularity across different regions. The success of non-native language TV shows hinges on effective dubbing, which allows viewers to enjoy the content without language barriers. Streaming services have also played a crucial role here, offering extensive libraries of dubbed TV shows that cater to a global audience. As these platforms continue to expand their reach, the demand for dubbing TV shows in various languages is expected to grow substantially.

Documentaries, although a smaller segment, are experiencing steady growth in the native language dubbing market. Documentaries often cover culturally significant topics and are intended for educational purposes, making them highly relevant to local audiences. Du

Context

Can you tell geographical stories about the world using data science?

Content

World countries with their corresponding continents , official english names, official french names, Dial,ITU,Languages and so on.

Acknowledgements

This data was gotten from https://old.datahub.io/

Inspiration

Exploration of the world countries: - Can we graphically visualize countries that speak a particular language? - We can also integrate this dataset into others to enhance our exploration. - The dataset has now been updated to include longitude and latitudes of countries in the world.

The Basque Youth Observatory is an instrument of the Basque Government that allows to have a global and permanent vision of the situation and evolution of the youth world that allows to evaluate the impact of the actions carried out in the CAPV by the different administrations in the field of youth.The Basque Youth Observatory regularly publishes more than 100 statistical indicators that can be consulted in euskadi.eus, along with other research and reports. Statistics are provided in various formats (csv, excel).

A cross-national data set of 21 variables was assembled for 212 countries from three sources (Barro and Lee 1994; Gordon 2005; CIA World Fact Book 2005). Our data set includes several proxy measures for national wealth, cultural diversity, social instability (both at national and international levels), and demography. Separate diversity measures were calculated for three different cultural domains, namely language, religion and ethnic groups . In addition, wealth variables (per capita GDP, and GINI, the coefficient of income inequality) were assembled, along with indicators of societal functioning drawn from the literature (especially Barro and Lee 1994), including indices of political rights (PRIGHTSB), revolutions and coups d'états (REVCOUP), and political instability (PINSTAB). Measures of international conflict were extracted from the social science literature, and the following were used: the proportion of the time between 1960-85 the country was involved in an external war (WARTIME), the number of international disputes in which the country was involved (TOTINTDISP), and an index of total military expenditure (TOTMILITEXP). Possible confounding variables such as population size (POPSIZE) and the number of international borders (NBINTBORDERS) were also included.

US Language Learner Market size was estimated at USD 74.06 Billion in 2024 and is projected to reach USD 234.55 Billion by 2031, growing at a CAGR of 15.50% from 2024 to 2031.

Key Market Drivers • Increase in Globalized Communication: Heightened demand for multilingual communication skills is observed due to the growing interconnectedness of the world, fostered by international trade and travel. This demand is particularly true in the US, where businesses are increasingly operated on a global scale. As a result, the need to learn new languages to effectively collaborate with international partners is driven by globalization. • Evolving Educational Landscape: A shift towards incorporating language learning at a younger age is being observed in the educational system in the US. This shift is driven by a recognition of the cognitive benefits of multilingualism and the growing importance of foreign languages in the job market. As a result, language learning at a foundational level is exposed to a larger segment of the US population, creating a more fertile ground for continued language acquisition later in life. • Technological Advancements in Learning Methods: The rise of mobile technology and online learning platforms has significantly impacted the US language learner market. Language learning has been made more accessible and convenient than ever before by these advancements. A vast array of interactive and personalized language courses can now be accessed by learners on their own time and schedule. This surge in language learning participation within the US is fueled by this ease of access. • Growing Hispanic Population: A significant and rapidly growing Hispanic population is observed in the US. This demographic shift has led to a heightened demand for Spanish language learning within the country. Spanish language skills are increasingly seen as valuable not only for personal communication but also for professional opportunities in a diverse workforce. The growth of the Spanish language learning segment within the US market is propelled by this demand.

While sentiment analysis systems excel in high-resource languages, most African languages facing limited resources, remain under-represented. This gap leaves a significant portion of the world’s population without access to technologies in their native languages. However, multilingual pre-trained language models (PLM) offer a promising approach for sentiment analysis in low-resource languages. Although the absence of large data in African languages poses a challenge for developing PLMs, fine-tuning and task adaptation of existing multilingual PLMs is an alternative solution. This paper explores the use of multilingual PLMs for sentiment analysis in five Southern African languages: Sepedi, Sesotho, Setswana, isiXhosa, and isiZulu. We leverage existing PLMs and fine-tune them for this specific task, avoiding training the models from scratch. Our work expands on the SAfriSenti corpus, a Twitter sentiment dataset for these languages. We employ various annotation techniques to create a labelled dataset and perform benchmark experiments utilising various multilingual PLMs. Our findings demonstrate the effectiveness of multilingual PLM, particularly for closely-related languages (Sotho-Tswana), where the ensemble PLMs method achieved an average weighted F1 score above 63%. In particular, Nguni closely-related languages achieved an even higher average weighted F1 score, exceeding 77%, highlighting the potential of PLMs for sentiment analysis in South African languages.

People born in the ten most common non-English speaking background countries by SD, for the year 2011.