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

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 4, 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
    Mar 4, 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 8,000 points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at 44,910.65 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 29,000 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 3,500 points in the week from February 21 to February 28, which was a fall of 12.4 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. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable 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 3, 1928 - Mar 27, 2025
    Area covered
    United States
    Description

    The main stock market index in the United States (US500) decreased 176 points or 2.99% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on March of 2025.

  3. Amount of data created, consumed, and stored 2010-2023, with forecasts to...

    • statista.com
    Updated Nov 21, 2024
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    Statista (2024). Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028 [Dataset]. https://www.statista.com/statistics/871513/worldwide-data-created/
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    Worldwide
    Description

    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

  4. P

    Census 2020 Table P3 12011 Tracts

    • data.pompanobeachfl.gov
    Updated Feb 28, 2023
    + more versions
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    Census 2020 Table P3 12011 Tracts [Dataset]. https://data.pompanobeachfl.gov/dataset/census-2020-table-p3-12011-tracts
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    kml, zip, csv, geojson, html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Feb 28, 2023
    Dataset provided by
    cjennings_BCGIS
    Authors
    External Datasets
    Description

    2020 Census P.L. 94-171 is the first detailed data release from the 2020 Decennial Census of Population and Housing. The web layer is based on an extract for Table P3 – Race for the Population 18 Years and Over at the census tract level geography of Broward County, Florida. The data extract was then joined to the 2020 Census TIGER/Line Shapefiles.

    For details on field names, table hierarchy, and table contents refer to TABLE (MATRIX) SECTION in Chapter 6. Data Dictionary, https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_StatesTechDoc_English.pdf" STYLE="text-decoration:underline;">2020 Census State Public Law 94-171 Summary File Technical Documentation.

  5. D

    Area Table December 2020

    • opendata.fcc.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Oct 14, 2021
    + more versions
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    (2021). Area Table December 2020 [Dataset]. https://opendata.fcc.gov/Wireline/Area-Table-December-2020/ymd4-xaiz
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    csv, tsv, json, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Oct 14, 2021
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    The data collected to create this dataset was in place through data as of June, 2021. For more recent broadband availability data, please see https://broadbandmap.fcc.gov; for more information about the related data collection, please see https://www.fcc.gov/BroadbandData.

    Summary data of fixed broadband coverage by geographic area

  6. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +18more
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Mar 26, 2025
    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 3, 1968 - Mar 26, 2025
    Area covered
    World
    Description

    Gold increased 393.93 USD/t oz. or 15.01% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on March of 2025.

  7. O

    Municipal Fiscal Indicators: Uniform Chart of Accounts, 2020-2022

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Nov 18, 2024
    + more versions
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    Office of Policy and Management (2024). Municipal Fiscal Indicators: Uniform Chart of Accounts, 2020-2022 [Dataset]. https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Uniform-Chart-of-Accou/e2qt-k238
    Explore at:
    json, application/rssxml, xml, csv, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Nov 18, 2024
    Dataset authored and provided by
    Office of Policy and Management
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

    The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, Office of Finance. Unlike prior years' where the audited financial information was compiled by OPM, the FY 2021 information in this edition was based upon the self-reporting by municipalities of their own audited data.

    The most recent edition is for the Fiscal Years Ended 2018-2022 published in September 2024.

    Note: For 2020, this dataset does not include data for the following municipalities, which did not complete the UCOA reporting process in Ansonia, Bloomfield, Bozrah, Danbury, Derby, East Haven, East Lyme, Easton, Hamden, Hebron, Meriden, New Canaan, Norfolk, North Branford, North Canaan, North Haven, Prospect, Seymour, Southington, Stonington, West Haven, Westbrook, Wethersfield, Willington, and Wilton.

    For 2021, this dataset does not include data for: Andover, Bolton, Bozrah, Bridgewater, Colebrook, Danbury, East Haven, East Lyme, Easton, Enfield, Mansfield, New Britain, New Haven, Norfolk, North Branford, North Canaan, North Haven, Seymour, Southington, Warren, West Hartford, West Haven, Willington, Wilton, and Woodbury.

    For 2022, this dataset does not include data for: Andover, Colchester, Danbury, East Lyme, Marlborough, Norfolk, North Canaan, Prospect, Westbrook, and Wethersfield.

    The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

    Municipal-Fiscal-Indicators: Financial Statement Information, 2020-2022 https://data.ct.gov/d/d6pe-dw46

    Municipal-Fiscal-Indicators: Uniform Chart of Accounts, 2020-2022 https://data.ct.gov/d/e2qt-k238

    Municipal Fiscal Indicators: Pension Funding Information for Defined Benefit Pension Plans, 2020-2022 https://data.ct.gov/d/73q3-sgr8

    Municipal Fiscal Indicators: Type and Number of Pension Plans, 2020-2022 https://data.ct.gov/d/i84g-vvfb

    Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2020-2022 https://data.ct.gov/d/ei7n-pnn9

    Municipal Fiscal Indicators: Economic and Grand List Data, 2019-2024 https://data.ct.gov/d/xgef-f6jp

    Municipal Fiscal Indicators: Benchmark Labor Data, 2020-2024 https://data.ct.gov/d/5ijb-j6bn

    Municipal Fiscal Indicators: Bond Ratings, 2019-2022 https://data.ct.gov/d/a65i-iag5

    Municipal Fiscal Indicators: Individual Town Data, 2014-2022 https://data.ct.gov/d/ej6f-y2wf

    Municipal Fiscal Indicators: Totals and Averages, 2014-2022 https://data.ct.gov/d/ryvc-y5rf

  8. Provider Table June 2020 V1

    • catalog.data.gov
    • opendata.fcc.gov
    Updated Sep 14, 2023
    + more versions
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    opendata.fcc.gov (2023). Provider Table June 2020 V1 [Dataset]. https://catalog.data.gov/dataset/provider-table-june-2020-v1
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    Dataset updated
    Sep 14, 2023
    Dataset provided by
    Federal Communications Commissionhttp://fcc.gov/
    Description

    Summary data of fixed broadband coverage by geographic area

  9. V

    Healthy People 2020 Final Progress Table

    • data.virginia.gov
    • healthdata.gov
    • +4more
    csv, json, rdf, xsl
    Updated Aug 23, 2023
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    Centers for Disease Control and Prevention (2023). Healthy People 2020 Final Progress Table [Dataset]. https://data.virginia.gov/dataset/healthy-people-2020-final-progress-table
    Explore at:
    xsl, csv, rdf, jsonAvailable download formats
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    [1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were:

    1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.)

    2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.

    3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.

    4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.

    5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only.

    6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed.

    [2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople.

    [3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline):

    Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100

    [4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline:

    Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100

    [5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test.

    [6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta

  10. T

    United States - Unemployment Rate - 20 Yrs. & over

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2018
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    TRADING ECONOMICS (2018). United States - Unemployment Rate - 20 Yrs. & over [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate-20-years-and-over-percent-fed-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 12, 2018
    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 - Unemployment Rate - 20 Yrs. & over was 3.50% in March of 2022, according to the United States Federal Reserve. Historically, United States - Unemployment Rate - 20 Yrs. & over reached a record high of 13.90 in April of 2020 and a record low of 2.10 in October of 1952. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Unemployment Rate - 20 Yrs. & over - last updated from the United States Federal Reserve on March of 2025.

  11. U.S. wine consumption share 2020, by category

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). U.S. wine consumption share 2020, by category [Dataset]. https://www.statista.com/statistics/467715/us-consumption-share-of-wine-by-category/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    This statistic shows the wine consumption share in the United States in 2020, by category. In that year, the consumption of table wine took the largest share with 90 percent of total wine consumption in the United States.

    Wine industry

    Wine consumption in the United States has increased annually over the past ten years. In 2020, about one billion gallons of wine were consumed across the nation and table wine was the most popular variety. Around 315 million 9-liter cases of table wine were expended all over the country in 2020. This type of wine has a low volume of alcohol content and is normally served along with food, hence the name “table” wine. Between 2014 and 2015, Chardonnay and Cabernet Sauvignon were the most purchased wines among U.S. consumers. Chardonnay, a type of white wine, originated from Burgundy, France. It is traditionally paired with fish and chicken dishes. Franzia, Barefoot and Sutter Home were the leading table wine brands in 2021. The Franzia brand, which is known for its box wines, sold more than 12 million 9-liter cases that period. However, the Barefoot brand, which is produced in California, held the largest share of the table wine market. In 2020, the majority of U.S. wine sales stemmed from off-premise outlets. Over 309 million cases of wine were sold off-premises that year. Groceries were the primary wine distribution channel in 2014, followed by liquor stores.

  12. M

    Micronesia New Covid cases per month, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
    + more versions
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    Globalen LLC (2023). Micronesia New Covid cases per month, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Micronesia/covid_new_cases/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Mar 15, 2023
    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 - Mar 31, 2023
    Area covered
    Micronesia
    Description

    New Covid cases per month in Micronesia, March, 2023 The most recent value is 1678 new Covid cases as of March 2023, an increase compared to the previous value of 354 new Covid cases. Historically, the average for Micronesia from February 2020 to March 2023 is 676 new Covid cases. The minimum of 0 new Covid cases was recorded in February 2020, while the maximum of 7566 new Covid cases was reached in October 2022. | TheGlobalEconomy.com

  13. C

    China Financial markets development, access - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 9, 2024
    + more versions
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    Globalen LLC (2024). China Financial markets development, access - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/financial_markets_development_access/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 9, 2024
    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, 1982 - Dec 31, 2021
    Area covered
    China
    Description

    China: Financial markets development, access: The latest value from 2021 is 0.186 index points, a decline from 0.37 index points in 2020. In comparison, the world average is 0.361 index points, based on data from 114 countries. Historically, the average for China from 1982 to 2021 is 0.158 index points. The minimum value, 0.061 index points, was reached in 1989 while the maximum of 0.37 index points was recorded in 2020.

  14. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    Updated Dec 11, 2023
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    Statista (2023). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
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    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around 65 percent higher than in January 2020, while most other markets were only between 20 and 40 percent higher.

    Why did the NASDAQ recover the quickest?

    Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide.

    Which markets suffered the most?

    The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

  15. S

    Statistical Area 2 2020 table.csv

    • datafinder.stats.govt.nz
    Updated Jan 30, 2020
    + more versions
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    Stats NZ (2020). Statistical Area 2 2020 table.csv [Dataset]. https://datafinder.stats.govt.nz/document/22509-statistical-area-2-2020-tablecsv/
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    Dataset updated
    Jan 30, 2020
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    Description

    Geospatial data about Statistical Area 2 2020 table.csv. Export to CAD, GIS, PDF, CSV and access via API.

  16. Weekly oil prices in Brent, OPEC basket, and WTI futures 2020-2025

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 25, 2025
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    Weekly oil prices in Brent, OPEC basket, and WTI futures 2020-2025 [Dataset]. https://www.statista.com/statistics/326017/weekly-crude-oil-prices/
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    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 6, 2020 - Mar 24, 2025
    Area covered
    Worldwide
    Description

    On March 24, 2025, the Brent crude oil price stood at 73.05 U.S. dollars per barrel, compared to 69.11 U.S. dollars for WTI oil and 75.11 U.S. dollars for the OPEC basket. These were slight increases compared to the previous weeks, which had seen some of the lowest prices in four years.Europe's Brent crude oil, the U.S. WTI crude oil, and OPEC's basket are three of the most important benchmarks used by traders as reference for oil and gasoline prices. Lowest ever oil prices during coronavirus pandemic In 2020, the coronavirus pandemic resulted in crude oil prices hitting a major slump as oil demand drastically declined following lockdowns and travel restrictions. Initial outlooks and uncertainty surrounding the course of the pandemic brought about a disagreement between two of the largest oil producers, Russia and Saudi Arabia, in early March. Bilateral talks between global oil producers ended in agreement on April 13th, with promises to cut petroleum output and hopes rising that these might help stabilize the oil price in the coming weeks. However, with storage facilities and oil tankers quickly filling up, fears grew over where to store excess oil, leading to benchmark prices seeing record negative prices between April 20 and April 22, 2020. How crude oil prices are determined As with most commodities, crude oil prices are impacted by supply and demand, as well as inventories and market sentiment. However, as oil is most often traded in future contracts (whereby a contract is agreed upon, while the product delivery will follow in the next two to three months), market speculation is one of the principal determinants for oil prices. Traders make conclusions on how production output and consumer demand will likely develop over the coming months, leaving room for uncertainty. Spot prices differ from futures in so far as they reflect the current market price of a commodity.

  17. YouTube users worldwide 2020-2029

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). YouTube users worldwide 2020-2029 [Dataset]. https://www.statista.com/forecasts/1144088/youtube-users-in-the-world
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, YouTube
    Description

    The global number of Youtube users in was forecast to continuously increase between 2024 and 2029 by in total 232.5 million users (+24.91 percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach 1.2 billion users and therefore a new peak in 2029. Notably, the number of Youtube users of was continuously increasing over the past years.User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Youtube users in countries like Africa and South America.

  18. USA 2020 Census Population Characteristics - Place Geographies

    • data-isdh.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 1, 2023
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    Esri (2023). USA 2020 Census Population Characteristics - Place Geographies [Dataset]. https://data-isdh.opendata.arcgis.com/maps/9c84c24c55a04c3b8317f37e536e6a8a
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    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, Consolidated City, Census Designated Place, Incorporated Place boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   To see the full list of attributes available in this service, go to the "Data" tab above, and then choose "Fields" at the top right. Each attribute contains definitions, additional details, and the formula for calculated fields in the field description.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This layer is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

  19. U.S workers communication during COVID-19 pandemic 2020

    • statista.com
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    Statista, U.S workers communication during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1112966/us-workers-communication-methods-during-coronavirus-pandemic/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 31, 2020
    Area covered
    United States
    Description

    As of March 2020, workers in the United States are mainly communicating with their co-workers remotely due to the COVID-19 pandemic. Of those working from home, 26 percent are using e-mail as their means of communication. Additionally, 20 percent are using video calling with platforms like Zoom and Google Hangouts. Only seven percent of U.S. workers are using audio conferencing lines to communicate with co-workers.

  20. J

    Japan CPI: Goods: Rice

    • ceicdata.com
    Updated Feb 8, 2025
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    CEICdata.com (2025). Japan CPI: Goods: Rice [Dataset]. https://www.ceicdata.com/en/japan/consumer-price-index-2020100/cpi-goods-rice
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    Dataset updated
    Feb 8, 2025
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Japan
    Description

    Japan Consumer Price Index (CPI): Goods: Rice data was reported at 171.300 2020=100 in Jan 2025. This records an increase from the previous number of 165.100 2020=100 for Dec 2024. Japan Consumer Price Index (CPI): Goods: Rice data is updated monthly, averaging 100.300 2020=100 from Jan 1970 (Median) to Jan 2025, with 661 observations. The data reached an all-time high of 171.300 2020=100 in Jan 2025 and a record low of 41.700 2020=100 in Jan 1970. Japan Consumer Price Index (CPI): Goods: Rice data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.I002: Consumer Price Index: 2020=100.

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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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Weekly development Dow Jones Industrial Average Index 2020-2025

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 4, 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 8,000 points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at 44,910.65 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 29,000 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 3,500 points in the week from February 21 to February 28, which was a fall of 12.4 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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