100+ datasets found
  1. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  2. China CN: Closing Price: CSI 500 Index Futures: Next Month

    • ceicdata.com
    Updated Mar 26, 2025
    + more versions
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    CEICdata.com (2025). China CN: Closing Price: CSI 500 Index Futures: Next Month [Dataset]. https://www.ceicdata.com/en/china/china-financial-futures-exchange-index-futures-closing-and-settlement-price-daily/cn-closing-price-csi-500-index-futures-next-month
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 11, 2025 - Mar 26, 2025
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    China Closing Price: CSI 500 Index Futures: Next Month data was reported at 5,697.800 Index Point in 14 May 2025. This records an increase from the previous number of 5,654.600 Index Point for 13 May 2025. China Closing Price: CSI 500 Index Futures: Next Month data is updated daily, averaging 5,986.400 Index Point from Apr 2015 (Median) to 14 May 2025, with 2449 observations. The data reached an all-time high of 11,400.000 Index Point in 12 Jun 2015 and a record low of 3,978.000 Index Point in 18 Oct 2018. China Closing Price: CSI 500 Index Futures: Next Month data remains active status in CEIC and is reported by China Financial Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: China Financial Futures Exchange: Index Futures: Closing and Settlement Price: Daily .

  3. NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation...

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Apr 1, 2025
    + more versions
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    nasa.gov (2025). NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/noaa-14-avhrr-atmospherically-corrected-normalized-difference-vegetation-index-daily-l3-gl-1a512
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name N14_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (N14_AVH01C1). The N14_AVH13C1 product is available in HDF4 file format.

  4. d

    4.14 Facilities Conditions Index (summary)

    • catalog.data.gov
    • open.tempe.gov
    • +11more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). 4.14 Facilities Conditions Index (summary) [Dataset]. https://catalog.data.gov/dataset/4-14-facilities-conditions-index-summary-59aaf
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    This page provides data for the Facilities Conditions Index performance measure. Regular assessments of the condition of city facilities is important. An outcome of the assessments is the Facilities Condition Index (FCI). This index rates facilities based on current condition. The FCI indicates the ratio of assets repair costs to the replacement value of the entire building. The lower the FCI ratio, the better the condition of the building.This dataset provides the current FCI value for each city owned facility. The FCI is generated quarterly for inpidual facilities and then calculated for the City overall.The performance measure dashboard is available at 4.14 Facilities Conditions Index.Additional InformationSource:Contact: Dana JanofskyContact E-Mail: dana_janofsky@tempe.govData Source Type: FacilitizePreparation Method: Reports are generated from Facilitize and exported as Excel spreadsheetsPublish Frequency: AnnualPublish Method: ManualData Dictionary

  5. China CN: Settlement Price: Shanghai 50 Index Futures: Next Quarter Month

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). China CN: Settlement Price: Shanghai 50 Index Futures: Next Quarter Month [Dataset]. https://www.ceicdata.com/en/china/china-financial-futures-exchange-index-futures-closing-and-settlement-price-daily/cn-settlement-price-shanghai-50-index-futures-next-quarter-month
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 11, 2025 - Mar 26, 2025
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    China Settlement Price: Shanghai 50 Index Futures: Next Quarter Month data was reported at 2,696.400 Index Point in 14 May 2025. This records an increase from the previous number of 2,650.600 Index Point for 13 May 2025. China Settlement Price: Shanghai 50 Index Futures: Next Quarter Month data is updated daily, averaging 2,652.000 Index Point from Apr 2015 (Median) to 14 May 2025, with 2449 observations. The data reached an all-time high of 3,924.800 Index Point in 19 Feb 2021 and a record low of 1,745.800 Index Point in 25 Aug 2015. China Settlement Price: Shanghai 50 Index Futures: Next Quarter Month data remains active status in CEIC and is reported by China Financial Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: China Financial Futures Exchange: Index Futures: Closing and Settlement Price: Daily .

  6. B

    Brazil Food production index - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 30, 2016
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    Globalen LLC (2016). Brazil Food production index - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Brazil/food_production_index/
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    csv, xml, excelAvailable download formats
    Dataset updated
    May 30, 2016
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1961 - Dec 31, 2022
    Area covered
    Brazil
    Description

    Brazil: Food production index (2004-2006 = 100): The latest value from 2022 is 113.8 index points, an increase from 112.1 index points in 2021. In comparison, the world average is 109.8 index points, based on data from 188 countries. Historically, the average for Brazil from 1961 to 2022 is 51.8 index points. The minimum value, 14 index points, was reached in 1961 while the maximum of 113.8 index points was recorded in 2022.

  7. United Nations Environment Programme - Sustainable Development Goal...

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Jul 10, 2025
    + more versions
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    NASA/GSFC/SED/ESD/GCDC/OB.DAAC;NASA/GSFC/SED/ESD/GCDC/SeaBASS (2025). United Nations Environment Programme - Sustainable Development Goal 14(2022): Index of coastal eutrophication in Latin America [Dataset]. https://catalog.data.gov/dataset/united-nations-environment-programme-sustainable-development-goal-142022-index-of-coastal--a7657
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    Dataset updated
    Jul 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Latin America
    Description

    Validation campaign in support of the United Nations Environment - Sustainable Development Goal 14.1.1a of 2022: Index of coastal eutrophication in Latin America. This dataset contains validation data for ocean color satellite data products and collects nutrient data on eutrophication. The data will be used to evaluate the effectiveness of the satellite-derived indicators and to develop more specific, level 2 satellite data indicators for the member countries in the future.

  8. t

    Index Cooperative Token trading volume Metrics

    • tokenterminal.com
    csv, json
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    Token Terminal, Index Cooperative Token trading volume Metrics [Dataset]. https://tokenterminal.com/explorer/projects/index-cooperative
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    json, csvAvailable download formats
    Dataset authored and provided by
    Token Terminal
    License

    https://tokenterminal.com/termshttps://tokenterminal.com/terms

    Time period covered
    2020 - Present
    Variables measured
    Token trading volume
    Description

    Detailed Token trading volume metrics and analytics for Index Cooperative, including historical data and trends.

  9. Fixed weighted index of average hourly earnings for all employees, by...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +3more
    Updated Jun 26, 2025
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    Government of Canada, Statistics Canada (2025). Fixed weighted index of average hourly earnings for all employees, by industry, monthly [Dataset]. http://doi.org/10.25318/1410021301-eng
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Fixed weighted index (2002=100) of average hourly earnings for all employees, by North American Industry Classification System (NAICS), last 5 months.

  10. F

    Producer Price Index by Commodity: Processed Foods and Feeds: Wines, White...

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Processed Foods and Feeds: Wines, White Grape, 14 Percent or Less Alcohol Content [Dataset]. https://fred.stlouisfed.org/series/WPU0261044111
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Wines, White Grape, 14 Percent or Less Alcohol Content (WPU0261044111) from Dec 2011 to Jun 2025 about wine, alcohol, processed, white, food, percent, commodities, PPI, inflation, price index, indexes, price, and USA.

  11. NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jul 10, 2025
    + more versions
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    NASA/GSFC/SED/ESD/HBSL/BISB/LAADS (2025). NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG [Dataset]. https://catalog.data.gov/dataset/noaa-14-avhrr-atmospherically-corrected-normalized-difference-vegetation-index-daily-l3-gl-0a043
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-14 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name N14_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (N14_AVH01C1). The N14_AVH13C1 product is available in HDF4 file format.

  12. N

    Nicaragua Covid stringency index, December, 2022 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 15, 2022
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    Globalen LLC (2022). Nicaragua Covid stringency index, December, 2022 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Nicaragua/covid_stringency_index/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Dec 31, 2022
    Area covered
    Nicaragua
    Description

    Covid stringency index in Nicaragua, December, 2022 The most recent value is 14 index as of December 2022, no change compared to the previous value of 14 index. Historically, the average for Nicaragua from February 2020 to December 2022 is 12 index. The minimum of 2 index was recorded in February 2020, while the maximum of 21 index was reached in July 2020. | TheGlobalEconomy.com

  13. V

    Venezuela Covid stringency index, December, 2022 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
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    Globalen LLC, Venezuela Covid stringency index, December, 2022 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Venezuela/covid_stringency_index/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Dec 31, 2022
    Area covered
    Venezuela
    Description

    Covid stringency index in Venezuela, December, 2022 The most recent value is 14 index as of December 2022, no change compared to the previous value of 14 index. Historically, the average for Venezuela from February 2020 to December 2022 is 57 index. The minimum of 1 index was recorded in February 2020, while the maximum of 90 index was reached in March 2021. | TheGlobalEconomy.com

  14. A

    ‘Municipal sustainability indicators: Infancy index: Population 0-14 years...

    • analyst-2.ai
    Updated Jan 17, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Municipal sustainability indicators: Infancy index: Population 0-14 years of age (%)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-municipal-sustainability-indicators-infancy-index-population-0-14-years-of-age-d75d/latest
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    Dataset updated
    Jan 17, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Municipal sustainability indicators: Infancy index: Population 0-14 years of age (%)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-opendata-euskadi-eus-catalogo-indicadores-municipales-de-sostenibilidad-indice-de-infancia-poblacion-de-0-14-anos- on 17 January 2022.

    --- Dataset description provided by original source is as follows ---

    Udalmap is a municipal information system, whose purpose is to show in detail the reality in the municipalities of the Basque Country. It allows, in turn, the design and evaluation of public policies aimed at facilitating decision-making in multiple areas related to the growth and development of the territory, with a view to a greater degree of territorial, economic, social and environmental cohesion.

    --- Original source retains full ownership of the source dataset ---

  15. Colony Avalanche Index Price Prediction for 2025-08-14

    • coinunited.io
    Updated Jul 18, 2025
    + more versions
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    CoinUnited.io (2025). Colony Avalanche Index Price Prediction for 2025-08-14 [Dataset]. https://coinunited.io/en/data/prices/crypto/colony-avalanche-index-cai/price-prediction
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    CoinUnited.io
    Description

    Based on professional technical analysis and AI models, deliver precise price‑prediction data for Colony Avalanche Index on 2025-08-14. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

  16. h

    p72-april-may_v7-index-corpus_staging-es-retrievals-5-14-24

    • huggingface.co
    + more versions
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    HudsonExperiments, p72-april-may_v7-index-corpus_staging-es-retrievals-5-14-24 [Dataset]. https://huggingface.co/datasets/HudsonExperiments/p72-april-may_v7-index-corpus_staging-es-retrievals-5-14-24
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset authored and provided by
    HudsonExperiments
    Description

    HudsonExperiments/p72-april-may_v7-index-corpus_staging-es-retrievals-5-14-24 dataset hosted on Hugging Face and contributed by the HF Datasets community

  17. T

    US 100 Tech Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, US 100 Tech Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/us100:ind
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    csv, excel, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Aug 1, 2025
    Description

    Prices for US 100 Tech Index including live quotes, historical charts and news. US 100 Tech Index was last updated by Trading Economics this August 1 of 2025.

  18. d

    4.14 Facilities Conditions Index

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). 4.14 Facilities Conditions Index [Dataset]. https://catalog.data.gov/dataset/4-14-facilities-conditions-index-54e4c
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    This page provides information for the Facilities Conditions Index performance measure.

  19. Nicaragua: corruption perception index 2012-2024

    • statista.com
    Updated Feb 13, 2025
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    Statista (2025). Nicaragua: corruption perception index 2012-2024 [Dataset]. https://www.statista.com/statistics/811726/nicaragua-corruption-perception-index/
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nicaragua
    Description

    The corruption perception index score in Nicaragua totaled 14 points in 2024. Compared to the previous year, this is a decrease of three points. This also represents the lowest score the country has reported since 2012. Further, Nicaragua continues to score low on the Index which means it ranks among the countries with the worst perceived corruption in Latin America. This index is a composite indicator that includes data on the perception of corruption in areas such as bribery of public officials, kickbacks in public procurement, embezzlement of state funds, and effectiveness of governments' anti-corruption efforts. The worst possible score in perception of corruption is 0, whereas a score of 100 indicates that no corruption is perceived in the respective country.

  20. T

    United States - Producer Price Index by Industry: Wineries: Wines, White,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 28, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Producer Price Index by Industry: Wineries: Wines, White, Red and Rose Grape, and Other Fruit, 14 Percent or Less Alcohol [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-industry-wineries-wines-white-red-and-rose-grape-and-other-fruit-14-percent-or-less-alcohol-fed-data.html
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Dec 28, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Industry: Wineries: Wines, White, Red and Rose Grape, and Other Fruit, 14 Percent or Less Alcohol was 116.84000 Index Dec 2011=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Wineries: Wines, White, Red and Rose Grape, and Other Fruit, 14 Percent or Less Alcohol reached a record high of 117.75600 in April of 2024 and a record low of 100.00000 in December of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Wineries: Wines, White, Red and Rose Grape, and Other Fruit, 14 Percent or Less Alcohol - last updated from the United States Federal Reserve on July of 2025.

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Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
Organization logo

Weekly development Dow Jones Industrial Average Index 2020-2025

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 1, 2020 - Mar 2, 2025
Area covered
United States
Description

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

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