Unemployment Rate in South Korea increased to 2.60 percent in August from 2.50 percent in July of 2025. This dataset provides - South Korea Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Employment in South Korea increased by 0.60 in August of 2025. This dataset provides - South Korea Employment Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

KR: Employment To Population Ratio: National Estimate: Aged 15-24 data was reported at 27.300 % in 2017. This records an increase from the previous number of 27.200 % for 2016. KR: Employment To Population Ratio: National Estimate: Aged 15-24 data is updated yearly, averaging 31.350 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 39.917 % in 1980 and a record low of 22.900 % in 2009. KR: Employment To Population Ratio: National Estimate: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

We have decided to leave the old version of Coronavirus-Dataset, because many kernels had been made based on it. Link to the new version of Coronavirus-Dataset

Context

COVID-19 has infected more than 7000 people in South Korea. KCDC (Korea Centers for Disease Control & Prevention) announces the information of COVID-19 quickly and transparently. We make a structured dataset based on the report materials of KCDC and local governments.

Acknowledgements

Thanks sincerely to all the members of KCDC and local governments. Source of data: KCDC (Korea Centers for Disease Control & Prevention)

Korea Employment To Population Ratio: National Estimate: Aged 15+ data was reported at 60.700 % in 2017. This records an increase from the previous number of 60.400 % for 2016. Korea Employment To Population Ratio: National Estimate: Aged 15+ data is updated yearly, averaging 59.100 % from Dec 1977 (Median) to 2017, with 41 observations. The data reached an all-time high of 60.867 % in 1997 and a record low of 35.160 % in 1977. Korea Employment To Population Ratio: National Estimate: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

Context

COVID-19 has infected many people in France.

Content

The dataset is no longer updated. It contains almost all French metropolitan regions plus overseas regions, updated on March 09 2020. If you want to help updating this dataset, see contributions section below.

This dataset intention is to put all published information about COVID-19 patients in France in a csv file.

Acknowledgements

Source of data: Press releases of the French regional health agencies. Data transcripted in a csv by a GitHub community.

This work is inspired by a similar work made in South Korea: kaggle dataset.

Contributions

We need more contributors to build this dataset and keep it updated. Join us on GitHub.

Contributors: Lior Perez, Samia Drappeau, Manon Fourniol, Zoragna, Raphaël Presberg

Korea Graduates: General High School data was reported at 419,461.000 Person in 2017. This records a decrease from the previous number of 437,299.000 Person for 2016. Korea Graduates: General High School data is updated yearly, averaging 412,146.000 Person from Dec 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 487,772.000 Person in 1990 and a record low of 93,699.000 Person in 1971. Korea Graduates: General High School data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G068: No of Graduates and Employment (Annual).

The Gross Domestic Product (GDP) in South Korea was worth 1712.79 billion US dollars in 2023, according to official data from the World Bank. The GDP value of South Korea represents 1.62 percent of the world economy. This dataset provides - South Korea GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Introduction

Welcome to the Korean General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Korean speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Korean communication.

Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade Korean speech models that understand and respond to authentic Korean accents and dialects.

Speech Data

The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Korean. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

Topic Diversity

The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

Transcription

Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

Metadata

The dataset comes with granular metadata for both speakers and recordings:

Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

Usage and Applications

This dataset is a versatile resource for multiple Korean speech and language AI applications:

KR: Adolescents Out of School: Female: % of Female Lower Secondary School Age data was reported at 1.265 % in 2015. This records a decrease from the previous number of 3.885 % for 2008. KR: Adolescents Out of School: Female: % of Female Lower Secondary School Age data is updated yearly, averaging 10.446 % from Dec 1971 (Median) to 2015, with 27 observations. The data reached an all-time high of 52.146 % in 1971 and a record low of 1.265 % in 2015. KR: Adolescents Out of School: Female: % of Female Lower Secondary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Education Statistics. Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

South Korea's Occupational Wage Survey (OWS) is an annual business establishment survey conducted since 1970 by South Korea's Ministry of Labor. The dataset contains detailed information on individual workers' earnings, hours worked, educational attainment, actual labor market experience, occupation, industry, and region. The surveyed establishments must employ at least ten workers and were selected by a stratified random sampling method. Because they exclude workers in small enterprises, the self-employed, family workers, temporary workers, and public sector workers, the surveys represent approximately one-half of South Korea's total nonagricultural labor force. The samples for each year are randomly drawn from the original surveys. The surveys cover all industries up through 1986. After 1986, agriculture, forestry, hunting, and fishing are excluded. This change in sampling procedure does not appear to cause a significant change in the types of nonfarm enterprises covered by the survey.

Transform Your Business with Our Comprehensive B2B Marketing Data Our B2B Marketing Data is designed to be a cornerstone for data-driven professionals looking to optimize their business strategies. With an unwavering commitment to data integrity and quality, our dataset empowers you to make informed decisions, enhance your outreach efforts, and drive business growth.

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Time series data for the statistic Personal remittances, received (current US$) and country Korea, Rep.. Indicator Definition:Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.The indicator "Personal remittances, received (current US$)" stands at 7.45 Billion usd as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes an increase of 5.89 percent compared to the value the year prior.The 1 year change in percent is 5.89.The 3 year change in percent is -3.78.The 5 year change in percent is 3.95.The 10 year change in percent is 13.32.The Serie's long term average value is 4.19 Billion usd. It's latest available value, on 12/31/2024, is 77.84 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1976, to it's latest available value, on 12/31/2024, is +15,749.79%.The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -4.67%.

Unemployment Rate in North Korea increased to 2.90 percent in 2024 from 2.80 percent in 2023. This dataset provides - North Korea Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Productivity in South Korea decreased to 102.60 points in the first quarter of 2025 from 102.90 points in the fourth quarter of 2024. This dataset provides - South Korea Productivity - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Money Supply M0 in South Korea increased to 190598900 KRW Million in July from 189403300 KRW Million in June of 2025. This dataset provides - South Korea Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Gross National Product in South Korea increased to 573849.60 KRW Billion in the second quarter of 2025 from 548046.20 KRW Billion in the first quarter of 2025. This dataset provides - South Korea Gross National Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Exports in South Korea increased to 59800 USD Million in June from 57270 USD Million in May of 2025. This dataset provides the latest reported value for - South Korea Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product per capita in South Korea was last recorded at 49995.49 US dollars in 2023, when adjusted by purchasing power parity (PPP). The GDP per Capita, in South Korea, when adjusted by Purchasing Power Parity is equivalent to 281 percent of the world's average. This dataset provides the latest reported value for - South Korea GDP per capita PPP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.