100+ datasets found
  1. Air Quality in Seoul 2017-2020

    • kaggle.com
    Updated May 5, 2021
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    Ramon Tanoeiro (2021). Air Quality in Seoul 2017-2020 [Dataset]. https://www.kaggle.com/datasets/ramontanoeiro/air-quality-seoul
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 5, 2021
    Dataset provided by
    Kaggle
    Authors
    Ramon Tanoeiro
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Seoul
    Description

    Context

    This dataset is an update from this one: https://www.kaggle.com/bappekim/air-pollution-in-seoul

    Content

    I gathered the data from 2020, transformed it, and saved only the important data from the dataset. If you wish to check the locations of each station, please check the original dataset. It's important to notice that I removed lines with negative or zero readings of the instrument.

    Acknowledgements

    Thanks to the original creator of this dataset and to the City of Seoul to make this data available for download.

    Inspiration

    I had the idea to create this dataset to try to make predictions for the 2020 year using the 2017-2019 data. And then compare the actual results with the predicted values. I'm now working on it.

    You can see work with this dataset on my blog: https://datasciencerecruit.wordpress.com/

  2. PM10 air pollution level Incheon South Korea 2008-2022

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). PM10 air pollution level Incheon South Korea 2008-2022 [Dataset]. https://www.statista.com/statistics/1019320/south-korea-pm10-air-pollution-level-incheon/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2022, the air pollution level of particulate matter (PM10) in Incheon, South Korea, amounted to approximately ** micrograms per cubic meter. It decreased from about ** micrograms per cubic meter in 2008.

  3. PM2.5 air pollution level Seoul South Korea 2015-2022

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). PM2.5 air pollution level Seoul South Korea 2015-2022 [Dataset]. https://www.statista.com/statistics/1019382/south-korea-pm25-air-pollution-level-seoul/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2022, the annual air pollution level of particulate matter (PM2.5) in Seoul in South Korea stood at around ** micrograms per cubic meter, down from about ** micrograms per cubic meter a year ago.

  4. d

    Overview and characteristics of air quality in the Seoul Metropolitan Area...

    • datasets.ai
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    0
    Updated Sep 11, 2024
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    U.S. Environmental Protection Agency (2024). Overview and characteristics of air quality in the Seoul Metropolitan Area during the KORUS-AQ campaign [Dataset]. https://datasets.ai/datasets/overview-and-characteristics-of-air-quality-in-the-seoul-metropolitan-area-during-the-koru
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    0Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    U.S. Environmental Protection Agency
    Area covered
    Seoul Metropolitan Area
    Description

    Data collected for this research provides information on mixing layer heights and in-situ formaldehyde concentrations at Olympic Park during the KORUS-AQ field campaign.

    This dataset is associated with the following publication: Kim, H., J. Gil, J. Jung, A. Whitehill, J. Szykman, G. Lee, D. Kim, S. Cho, J. Ahn, J. Hong, and M. Park. Factors controlling surface ozone in the Seoul Metropolitan Area During the Korus AQ campaign. Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, NA, (2020).

  5. NO2 air pollution level Seoul South Korea 2009-2022

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). NO2 air pollution level Seoul South Korea 2009-2022 [Dataset]. https://www.statista.com/statistics/1016259/south-korea-no2-air-pollution-level-seoul/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2022, the air pollution level of NO2 in Seoul amounted to ** parts per billion, down from ** parts per billion in 2009. The annual emissions of NO2 in the year decreased over the years; the value recorded in the last three years was the lowest in the past decade.

  6. S

    South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution [Dataset]. https://www.ceicdata.com/en/korea/environmental-environmentally-related-tax-revenue-by-environmental-domain-oecd-member-annual/air-pollution-tax-revenue--of-total-tax-revenue-pollution
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    South Korea
    Description

    South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data was reported at 0.000 % in 2021. This stayed constant from the previous number of 0.000 % for 2020. South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data is updated yearly, averaging 0.000 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 0.000 % in 2021 and a record low of 0.000 % in 2021. South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.

  7. N

    North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding...

    • ceicdata.com
    Updated Nov 5, 2021
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    CEICdata.com (2021). North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total [Dataset]. https://www.ceicdata.com/en/north-korea/environment-pollution/kp-pm25-air-pollution-population-exposed-to-levels-exceeding-who-interim-target3-value--of-total
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    Dataset updated
    Nov 5, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1990 - Dec 1, 2016
    Area covered
    North Korea
    Description

    North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total data was reported at 100.000 % in 2016. This stayed constant from the previous number of 100.000 % for 2015. North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total data is updated yearly, averaging 100.000 % from Dec 1990 (Median) to 2016, with 11 observations. The data reached an all-time high of 100.000 % in 2016 and a record low of 100.000 % in 2016. North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Environment: Pollution. Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 3 (IT-3) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 15 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.; ; Brauer, M. et al. 2016, for the Global Burden of Disease Study 2016.; Weighted Average;

  8. S

    South Korea Air Pollution: Tax Revenue: % of GDP: Energy

    • ceicdata.com
    + more versions
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    CEICdata.com, South Korea Air Pollution: Tax Revenue: % of GDP: Energy [Dataset]. https://www.ceicdata.com/en/korea/environmental-environmentally-related-tax-revenue-environmental-protection-domains-oecd-member-annual/air-pollution-tax-revenue--of-gdp-energy
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    South Korea
    Description

    South Korea Air Pollution: Tax Revenue: % of GDP: Energy data was reported at 0.591 % in 2022. This records a decrease from the previous number of 0.918 % for 2021. South Korea Air Pollution: Tax Revenue: % of GDP: Energy data is updated yearly, averaging 1.604 % from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 2.025 % in 2001 and a record low of 0.591 % in 2022. South Korea Air Pollution: Tax Revenue: % of GDP: Energy data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.

  9. S

    South Korea Air Pollution: Tax Revenue: % of GDP: Transport

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). South Korea Air Pollution: Tax Revenue: % of GDP: Transport [Dataset]. https://www.ceicdata.com/en/korea/environmental-environmentally-related-tax-revenue-environmental-protection-domains-oecd-member-annual/air-pollution-tax-revenue--of-gdp-transport
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2003 - Dec 1, 2014
    Area covered
    South Korea
    Description

    South Korea Air Pollution: Tax Revenue: % of GDP: Transport data was reported at 0.044 % in 2014. This records a decrease from the previous number of 0.046 % for 2013. South Korea Air Pollution: Tax Revenue: % of GDP: Transport data is updated yearly, averaging 0.056 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 0.060 % in 2006 and a record low of 0.026 % in 1995. South Korea Air Pollution: Tax Revenue: % of GDP: Transport data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.

  10. f

    Air pollution, respiratory illness and behavioral adaptation: Evidence from...

    • plos.figshare.com
    docx
    Updated Jun 3, 2023
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    Tackseung Jun; In-sik Min (2023). Air pollution, respiratory illness and behavioral adaptation: Evidence from South Korea [Dataset]. http://doi.org/10.1371/journal.pone.0221098
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tackseung Jun; In-sik Min
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    Air pollution is closely associated with the development of respiratory illness. Behavioral adaptations of people to air pollution may influence its impact, yet this has not been investigated in the literature. Our hypothesis is that people experience and learn the underlying air quality to decide their adaptation, and they have a stronger incentive to behaviorally adapt to the air quality as it deteriorates. We tested our hypothesis on a sample of approximately 25,700 individuals from South Korea from 2002 to 2013 that contained information on daily doctor’s visits due to respiratory disease. We matched individuals to the mean of the past seven-day concentration of the particulate matter of size between 2.5 and 10 micrometers (PM10) in their county of residence. We examined whether people living in counties with greater air pollution suffer less from respiratory disease when the concentration increases. For the analysis, we separated counties into quintiles based on their mean seven-day PM10, and regressed the binary indicator of a daily doctor’s visit with a resulting diagnosis of respiratory disease on the seven-day PM10 concentration of the county of residence interacted with the quintile dummies. The key findings are that a 1-standard-deviation increase in the seven-day PM10 concentration in the two lowest quintiles is associated with an increase of 0.054 percentage points in the likelihood of a doctor’s visit with a resulting diagnosis of respiratory disease, which is about 40% larger than the effect in higher quintiles, and the size of 1-standard-deviation gradually increases from 0.037 percentage points in the third quintile to 0.040 percentage points in the fifth quintile. The smaller increase in the likelihood of respiratory disease in more polluted locations can be explained by the behavioral adaptation to the environment, but the effectiveness of the adaptation seems limited among the highly polluted locations.

  11. Ambient O3 and NO2 data in the Seoul Metropolitan Area

    • figshare.com
    csv
    Updated Dec 23, 2024
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    Hyung Joo Lee (2024). Ambient O3 and NO2 data in the Seoul Metropolitan Area [Dataset]. http://doi.org/10.6084/m9.figshare.28080539.v1
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    csvAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Hyung Joo Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Seoul Metropolitan Area
    Description

    This dataset includes MDA8 O3 and 24-hour NO2 concentrations measured in the Seoul Metropolitan Area from May 2018 to April 2021.

  12. O3 air pollution level South Korea 2008-2022

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). O3 air pollution level South Korea 2008-2022 [Dataset]. https://www.statista.com/statistics/1019277/south-korea-ozone-air-pollution-level/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2022, the air pollution level of ozone (O3) in South Korea amounted to around ** parts per billion. It is up from about ** parts per billion in 2008.

  13. d

    Korea Environment Corporation_Air Pollution Forecast Information (Air Korea)...

    • data.go.kr
    json+xml
    Updated Dec 26, 2022
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    (2022). Korea Environment Corporation_Air Pollution Forecast Information (Air Korea) [Dataset]. https://www.data.go.kr/en/data/15109350/openapi.do
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    json+xmlAvailable download formats
    Dataset updated
    Dec 26, 2022
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    As data that provides air pollution forecast information, it provides items such as high concentration of ultrafine dust (over 50), air quality forecast information inquiry, and details of ultrafine dust weekly forecast information.

  14. f

    Association between Air Pollution and Suicide in South Korea: A Nationwide...

    • plos.figshare.com
    xlsx
    Updated May 31, 2023
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    Youngdon Kim; Woojae Myung; Hong-Hee Won; Sanghong Shim; Hong Jin Jeon; Junbae Choi; Bernard J. Carroll; Doh Kwan Kim (2023). Association between Air Pollution and Suicide in South Korea: A Nationwide Study [Dataset]. http://doi.org/10.1371/journal.pone.0117929
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Youngdon Kim; Woojae Myung; Hong-Hee Won; Sanghong Shim; Hong Jin Jeon; Junbae Choi; Bernard J. Carroll; Doh Kwan Kim
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    Suggestive associations of suicide with air pollutant concentrations have been reported. Recognizing regional and temporal variability of pollutant concentrations and of suicide, we undertook a detailed meta-analysis of completed suicides in relation to 5 major pollutants over 6 years in the 16 administrative regions of the Republic of Korea, while also controlling for other established influences on suicide rates. Of the 5 major pollutants examined, ozone concentrations had a powerful association with suicide rate, extending back to 4 weeks. Over the range of 2 standard deviations (SD) around the annual mean ozone concentration, the adjusted suicide rate increased by an estimated 7.8% of the annual mean rate. Particulate matter pollution also had a significant effect, strongest with a 4-week lag, equivalent to 3.6% of the annual mean rate over the same 2 SD range that approximated the half of annual observed range. These results strongly suggest deleterious effects of ozone and particulate matter pollution on the major public health problem of suicide.

  15. W

    Democratic People's Republic of Korea PM2.5 air pollution

    • knoema.com
    csv, json, sdmx, xls
    Updated Aug 2, 2025
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    Knoema (2025). Democratic People's Republic of Korea PM2.5 air pollution [Dataset]. https://knoema.com/atlas/Rep%C3%BAblica-Popular-Democr%C3%A1tica-de-Corea/topics/Medio-ambiente/Emisiones/PM25-air-pollution?view=snowflake
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    sdmx, xls, json, csvAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2009 - 2020
    Area covered
    North Korea
    Variables measured
    PM2.5 air pollution, mean annual exposure
    Description

    PM2.5 air pollution of Democratic People's Republic of Korea fell by 3.84% from 31.12 micrograms per cubic meter in 2019 to 29.93 micrograms per cubic meter in 2020. Since the 1.41% climb in 2017, PM2.5 air pollution sank by 23.59% in 2020.

  16. PM10 air pollution level Daegu South Korea 2008-2022

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). PM10 air pollution level Daegu South Korea 2008-2022 [Dataset]. https://www.statista.com/statistics/1019318/south-korea-pm10-air-pollution-level-daegu/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2022, the air pollution level of particulate matter (PM10) in Daegu, South Korea, amounted to approximately ** micrograms per cubic meter, a decrease from ** micrograms per cubic meter in the previous year.

  17. A

    Asia Pacific Air Quality Monitoring Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Aug 20, 2025
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    Data Insights Market (2025). Asia Pacific Air Quality Monitoring Market Report [Dataset]. https://www.datainsightsmarket.com/reports/asia-pacific-air-quality-monitoring-market-4036
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Asia
    Variables measured
    Market Size
    Description

    The Asia Pacific Air Quality Monitoring Market size was valued at USD 77.40 Million in 2023 and is projected to reach USD 105.68 Million by 2032, exhibiting a CAGR of 4.55 % during the forecasts periods. Air quality monitoring is the systematic process of measuring and assessing the concentration of pollutants in the air to ensure it meets established health and environmental standards. This process involves the use of various sensors and instruments to detect pollutants such as particulate matter (PM2.5 and PM10), ground-level ozone, nitrogen dioxide, sulfur dioxide, and carbon monoxide. These pollutants can originate from various sources, including vehicle emissions, industrial activities, and natural events like wildfires and dust storms. Air quality monitoring can be conducted at different levels, from local to global scales. Local monitoring networks provide detailed information about air quality in specific areas, while satellite-based monitoring offers a broader view of regional and global air quality trends. The collected data is often used to calculate the Air Quality Index (AQI), a standardized indicator that communicates the level of air pollution and its potential health impacts to the public. Recent developments include: Januaru 2023: The government of India launched the Technology for Air Quality Monitoring System (AI-AQMS v1.0) developed under MeitY-supported projects. The Centre for Development of Advanced Computing (C-DAC), Kolkata, in partnership with TeXMIN, ISM, Dhanbad under the ‘National program on Electronics and ICT applications in Agriculture and Environment (AgriEnIcs)’ has developed an outdoor air quality monitoring station to monitor environmental pollutants which includes parameters like PM 1.0, PM 2.5, PM 10.0, SO2, NO2, CO, O2, ambient temperature, relative humidity etc., for continuous air quality analysis of the environment., September 2022: The Asian Development Bank (ADB) launched the Asia Clean Blue Skies Program (ACBSP) to scale up ADB's investments in improving air quality in Asia and the Pacific. ADB launched the ACBSP at the Fourth Asia Pacific Clean Air Partnership joint forum in Seoul, Korea. The program supports the development and strengthening of policies and plans for ADB's developing member countries (DMCs) so that investments are stimulated in air quality projects, such as greenhouse gas reductions in energy, agriculture, transportation, industrial development, and urban development.. Key drivers for this market are: 4., Increasing Awareness and Favorable Government Policies and Non-government Initiatives for Curbing Air Pollution. Potential restraints include: 4., High Costs of Air Quality Monitoring Systems. Notable trends are: Outdoor Segment to Witness Significant Growth.

  18. d

    Korea Environment Corporation_Current status of fine dust advisory/warning...

    • data.go.kr
    json+xml
    Updated Dec 26, 2022
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    (2022). Korea Environment Corporation_Current status of fine dust advisory/warning (Air Korea) [Dataset]. https://www.data.go.kr/en/data/15109862/openapi.do
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    json+xmlAvailable download formats
    Dataset updated
    Dec 26, 2022
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    During service maintenance, we plan to provide normal service with public data portal notification registration within a few days. Service requester, please wait for a moment.

  19. S

    South Korea Sulphur Oxides: Total Man Made Emissions: Mobile Sources

    • ceicdata.com
    Updated Oct 4, 2024
    + more versions
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    CEICdata.com (2024). South Korea Sulphur Oxides: Total Man Made Emissions: Mobile Sources [Dataset]. https://www.ceicdata.com/en/korea/environmental-air-pollutant-emissions-by-sources-oecd-member-annual
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    Dataset updated
    Oct 4, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    South Korea
    Description

    Sulphur Oxides: Total Man Made Emissions: Mobile Sources data was reported at 8.698 Tonne th in 2021. This records a decrease from the previous number of 16.704 Tonne th for 2020. Sulphur Oxides: Total Man Made Emissions: Mobile Sources data is updated yearly, averaging 50.519 Tonne th from Dec 1999 (Median) to 2021, with 23 observations. The data reached an all-time high of 70.353 Tonne th in 2008 and a record low of 8.698 Tonne th in 2021. Sulphur Oxides: Total Man Made Emissions: Mobile Sources data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Air Pollutant Emissions: by Sources: OECD Member: Annual.

  20. S

    South Korea PM2.5: Total Man Made Emissions: Stationary Sources: Waste

    • ceicdata.com
    Updated Oct 4, 2024
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    CEICdata.com (2024). South Korea PM2.5: Total Man Made Emissions: Stationary Sources: Waste [Dataset]. https://www.ceicdata.com/en/korea/environmental-air-pollutant-emissions-by-sources-oecd-member-annual
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    Dataset updated
    Oct 4, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2021
    Area covered
    South Korea
    Description

    PM2.5: Total Man Made Emissions: Stationary Sources: Waste data was reported at 7.432 Tonne th in 2021. This records an increase from the previous number of 7.183 Tonne th for 2020. PM2.5: Total Man Made Emissions: Stationary Sources: Waste data is updated yearly, averaging 7.245 Tonne th from Dec 2011 (Median) to 2021, with 11 observations. The data reached an all-time high of 8.112 Tonne th in 2016 and a record low of 0.202 Tonne th in 2013. PM2.5: Total Man Made Emissions: Stationary Sources: Waste data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Air Pollutant Emissions: by Sources: OECD Member: Annual.

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Ramon Tanoeiro (2021). Air Quality in Seoul 2017-2020 [Dataset]. https://www.kaggle.com/datasets/ramontanoeiro/air-quality-seoul
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Air Quality in Seoul 2017-2020

Data from 2017-2020 on Seoul

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 5, 2021
Dataset provided by
Kaggle
Authors
Ramon Tanoeiro
License

Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically

Area covered
Seoul
Description

Context

This dataset is an update from this one: https://www.kaggle.com/bappekim/air-pollution-in-seoul

Content

I gathered the data from 2020, transformed it, and saved only the important data from the dataset. If you wish to check the locations of each station, please check the original dataset. It's important to notice that I removed lines with negative or zero readings of the instrument.

Acknowledgements

Thanks to the original creator of this dataset and to the City of Seoul to make this data available for download.

Inspiration

I had the idea to create this dataset to try to make predictions for the 2020 year using the 2017-2019 data. And then compare the actual results with the predicted values. I'm now working on it.

You can see work with this dataset on my blog: https://datasciencerecruit.wordpress.com/

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