100+ datasets found
  1. U

    United Kingdom Index: FT 30

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United Kingdom Index: FT 30 [Dataset]. https://www.ceicdata.com/en/united-kingdom/financial-times-stock-exchange-indices/index-ft-30
    Explore at:
    Dataset updated
    Feb 15, 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
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Securities Exchange Index
    Description

    United Kingdom Index: FT 30 data was reported at 2,946.000 01Jul1935=100 in Nov 2018. This records a decrease from the previous number of 2,975.400 01Jul1935=100 for Oct 2018. United Kingdom Index: FT 30 data is updated monthly, averaging 1,966.600 01Jul1935=100 from Jan 1975 (Median) to Nov 2018, with 527 observations. The data reached an all-time high of 4,156.800 01Jul1935=100 in Dec 1999 and a record low of 236.900 01Jul1935=100 in Jan 1975. United Kingdom Index: FT 30 data remains active status in CEIC and is reported by Financial Times. The data is categorized under Global Database’s United Kingdom – Table UK.Z001: Financial Times Stock Exchange: Indices.

  2. w

    IMF World Economic Outlook Database

    • data.wu.ac.at
    csv
    Updated Sep 9, 2014
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    Rufus Pollock (2014). IMF World Economic Outlook Database [Dataset]. https://data.wu.ac.at/odso/datahub_io/ZDRiNTZiZWItZTkzZC00MWMwLWIzZmQtNWM0ZmRjNWJmOWMx
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 9, 2014
    Dataset provided by
    Rufus Pollock
    Description

    IMF World Economic Outlook (WEO) database. The "http://www.imf.org/external/ns/cs.aspx?id=29">IMF World Economic Outlook is a twice-yearly survey by IMF staff that presents IMF staff economists' analyses of global economic developments during the near and medium term. Associated with the report is the "http://www.imf.org/external/ns/cs.aspx?id=28">World Economic Outlook Database, a country-level dataset of major macro-economic variables (GDP, Unemployment, Debt etc). It is the data from that database which is provided here.

    Data

    The source database is made of annual values for each country on 45 indicators since 1980. In addition the database includes the IMF projects approximately 6 years into the future.

    We extract this data and normalize into 2 files:

    • Indicators - data/indicators.csv - the list of indicators
    • Values - data/values.csv - set of values for each indicator, country, year tuple.

    Sources

    Note the XLS files actual turn out to be tsv files!

    Preparation

    Code to extract the data from the source WEO Database is in the scripts directory.

  3. U

    United Kingdom Index: Month Average: FT 30

    • ceicdata.com
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    CEICdata.com, United Kingdom Index: Month Average: FT 30 [Dataset]. https://www.ceicdata.com/en/united-kingdom/financial-times-stock-exchange-indices/index-month-average-ft-30
    Explore at:
    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
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Securities Exchange Index
    Description

    United Kingdom Index: Month Average: FT 30 data was reported at 3,282.127 01Jul1935=100 in Jul 2018. This records a decrease from the previous number of 3,311.805 01Jul1935=100 for Jun 2018. United Kingdom Index: Month Average: FT 30 data is updated monthly, averaging 1,873.659 01Jul1935=100 from Jan 1970 (Median) to Jul 2018, with 583 observations. The data reached an all-time high of 4,083.182 01Jul1935=100 in Jul 1999 and a record low of 160.100 01Jul1935=100 in Dec 1974. United Kingdom Index: Month Average: FT 30 data remains active status in CEIC and is reported by Financial Times. The data is categorized under Global Database’s UK – Table UK.Z001: Financial Times Stock Exchange: Indices.

  4. F

    Total Gross Domestic Product for Miami-Fort Lauderdale-West Palm Beach, FL...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Total Gross Domestic Product for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) [Dataset]. https://fred.stlouisfed.org/series/NGMP33100
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    Miami Metropolitan Area, Florida
    Description

    Graph and download economic data for Total Gross Domestic Product for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (NGMP33100) from 2001 to 2023 about Miami, FL, industry, GDP, and USA.

  5. F

    Total Gross Domestic Product for Crestview-Fort Walton Beach-Destin, FL...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Total Gross Domestic Product for Crestview-Fort Walton Beach-Destin, FL (MSA) [Dataset]. https://fred.stlouisfed.org/series/NGMP18880
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    Destin, Fort Walton Beach, Florida, Crestview
    Description

    Graph and download economic data for Total Gross Domestic Product for Crestview-Fort Walton Beach-Destin, FL (MSA) (NGMP18880) from 2001 to 2023 about Fort Walton Beach, FL, industry, GDP, and USA.

  6. H

    SLR Potential Economic Loss - 3.2 Ft. Scenario

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Sep 5, 2022
    + more versions
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    Office of Planning (2022). SLR Potential Economic Loss - 3.2 Ft. Scenario [Dataset]. https://opendata.hawaii.gov/dataset/slr-potential-economic-loss-3-2-ft-scenario
    Explore at:
    geojson, kml, zip, arcgis geoservices rest api, ogc wfs, csv, ogc wms, htmlAvailable download formats
    Dataset updated
    Sep 5, 2022
    Dataset provided by
    Tetra Tech, Inc.
    Authors
    Office of Planning
    Description

    Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential economic loss was based on the value of the land and structures from the county tax parcel database permanently lost in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts potential economic loss using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Potential economic loss was analyzed individually for each hazard (passive flooding, annual high wave flooding, or coastal erosion) at the parcel level and subsequently aggregated in 1-hectare (100 square meter or 1,076 square foot) grids. For the islands of Hawaii, Lanai, and Molokai, the potential economic loss was based solely on passive flooding. Potential economic loss in the SLR-XA area was determined from the highest loss value of any one hazard within the 1-hectare grid, thus avoiding double counting a loss of a particular asset from multiple hazards. Those maximum values for each sector are then summed to determine the total economic loss to property in each grid. Assumptions and Limitations: The vulnerability assessment addressed exposure to chronic flooding with sea level rise. Key assumptions of the economic analysis for the SLR-XA included: (a) loss is permanent; (b) economic loss is based on the value in U.S. dollars in 2016 as property values in the future are unknown; (c) economic loss is based on the value of the land and structures exposed to flooding in the SLR-XA excluding the contents of the property and does not include the economic loss or cost to replace roads, water conveyance systems and other critical infrastructure; and (d) no adaptation measures are put in place that could reduce impacts in the SLR-XA. Economic value data were not available for length of roads, water and wastewater lines, and other public infrastructure due to the variable cost of such infrastructure depending on location, and the complexity and uncertainty involved in design, siting, and construction. Additionally, environmental assets such as beaches and wetlands were not assessed economically due to the complexity in valuing ecosystem services. The loss of both public infrastructure and environmental assets from flooding would result in significant economic loss. Therefore, the total potential economic loss figures estimated in these data are likely an underestimate. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf.

  7. U

    United Kingdom Index: Month Average: Actuaries Share: FTSE 350 Higher Yield

    • ceicdata.com
    + more versions
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    CEICdata.com, United Kingdom Index: Month Average: Actuaries Share: FTSE 350 Higher Yield [Dataset]. https://www.ceicdata.com/en/united-kingdom/financial-times-stock-exchange-indices/index-month-average-actuaries-share-ftse-350-higher-yield
    Explore at:
    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
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Securities Exchange Index
    Description

    United Kingdom Index: Month Average: Actuaries Share: FTSE 350 Higher Yield data was reported at 3,879.790 30Dec1983=100 in Jul 2018. This records a decrease from the previous number of 3,880.420 30Dec1983=100 for Jun 2018. United Kingdom Index: Month Average: Actuaries Share: FTSE 350 Higher Yield data is updated monthly, averaging 3,150.307 30Dec1983=100 from Jan 1999 (Median) to Jul 2018, with 235 observations. The data reached an all-time high of 4,114.554 30Dec1983=100 in Jun 2007 and a record low of 2,145.346 30Dec1983=100 in Mar 2009. United Kingdom Index: Month Average: Actuaries Share: FTSE 350 Higher Yield data remains active status in CEIC and is reported by Financial Times. The data is categorized under Global Database’s UK – Table UK.Z001: Financial Times Stock Exchange: Indices.

  8. S

    Spain Imports: (FT): Meat

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). Spain Imports: (FT): Meat [Dataset]. https://www.ceicdata.com/en/spain/imports-by-commodity/imports-ft-meat
    Explore at:
    Dataset updated
    Dec 15, 2019
    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, 2006 - Dec 1, 2017
    Area covered
    Spain
    Variables measured
    Merchandise Trade
    Description

    Spain Imports: (FT): Meat data was reported at 2,229.799 EUR mn in 2017. This records an increase from the previous number of 2,048.300 EUR mn for 2016. Spain Imports: (FT): Meat data is updated yearly, averaging 1,536.233 EUR mn from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 2,229.799 EUR mn in 2017 and a record low of 1,014.909 EUR mn in 1995. Spain Imports: (FT): Meat data remains active status in CEIC and is reported by Ministry of Economy and Competitiveness. The data is categorized under Global Database’s Spain – Table ES.JA010: Imports: by Commodity.

  9. i

    Grant Giving Statistics for Fort Madison Economic Development Corporation

    • instrumentl.com
    Updated Mar 8, 2022
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    (2022). Grant Giving Statistics for Fort Madison Economic Development Corporation [Dataset]. https://www.instrumentl.com/990-report/fort-madison-economic-development-corporation
    Explore at:
    Dataset updated
    Mar 8, 2022
    Area covered
    Fort Madison
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Fort Madison Economic Development Corporation

  10. T

    Miami-Fort Lauderdale-Pompano Beach, FL - Economic Conditions Index for...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 22, 2020
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    TRADING ECONOMICS (2020). Miami-Fort Lauderdale-Pompano Beach, FL - Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/economic-conditions-index-for-miami-fort-lauderdale-west-palm-beach-fl-msa-fed-data.html
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Apr 22, 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
    Pompano Beach, Miami Metropolitan Area, Florida
    Description

    Miami-Fort Lauderdale-Pompano Beach, FL - Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) was 1.21% in December of 2019, according to the United States Federal Reserve. Historically, Miami-Fort Lauderdale-Pompano Beach, FL - Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) reached a record high of 20.32 in October of 2017 and a record low of -19.08 in September of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Miami-Fort Lauderdale-Pompano Beach, FL - Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) - last updated from the United States Federal Reserve on December of 2025.

  11. F

    Total Gross Domestic Product for Fort Wayne, IN (MSA)

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Total Gross Domestic Product for Fort Wayne, IN (MSA) [Dataset]. https://fred.stlouisfed.org/series/NGMP23060
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    Fort Wayne
    Description

    Graph and download economic data for Total Gross Domestic Product for Fort Wayne, IN (MSA) (NGMP23060) from 2001 to 2023 about Fort Wayne, IN, industry, GDP, and USA.

  12. F

    Total Real Gross Domestic Product for Fort Collins, CO (MSA)

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Total Real Gross Domestic Product for Fort Collins, CO (MSA) [Dataset]. https://fred.stlouisfed.org/series/RGMP22660
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    Colorado, Fort Collins
    Description

    Graph and download economic data for Total Real Gross Domestic Product for Fort Collins, CO (MSA) (RGMP22660) from 2001 to 2023 about Fort Collins, CO, real, industry, GDP, and USA.

  13. h

    SLR Potential Economic Loss - 1.1 Ft. Scenario

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +1more
    Updated Dec 21, 2017
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    Hawaii Statewide GIS Program (2017). SLR Potential Economic Loss - 1.1 Ft. Scenario [Dataset]. https://geoportal.hawaii.gov/datasets/d9835ef78a0f41f6a439f3cd9d8da6b6
    Explore at:
    Dataset updated
    Dec 21, 2017
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential economic loss was based on the value of the land and structures from the county tax parcel database permanently lost in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts potential economic loss using the 1.1-ft (0.3224-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2050, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Potential economic loss was analyzed individually for each hazard (passive flooding, annual high wave flooding, or coastal erosion) at the parcel level and subsequently aggregated in 1-hectare (100 square meter or 1,076 square foot) grids. For the islands of Hawaii, Lanai, and Molokai, the potential economic loss was based solely on passive flooding. Potential economic loss in the SLR-XA area was determined from the highest loss value of any one hazard within the 1-hectare grid, thus avoiding double counting a loss of a particular asset from multiple hazards. Those maximum values for each sector are then summed to determine the total economic loss to property in each grid. Assumptions and Limitations: The vulnerability assessment addressed exposure to chronic flooding with sea level rise. Key assumptions of the economic analysis for the SLR-XA included: (a) loss is permanent; (b) economic loss is based on the value in U.S. dollars in 2016 as property values in the future are unknown; (c) economic loss is based on the value of the land and structures exposed to flooding in the SLR-XA excluding the contents of the property and does not include the economic loss or cost to replace roads, water conveyance systems and other critical infrastructure; and (d) no adaptation measures are put in place that could reduce impacts in the SLR-XA. Economic value data were not available for length of roads, water and wastewater lines, and other public infrastructure due to the variable cost of such infrastructure depending on location, and the complexity and uncertainty involved in design, siting, and construction. Additionally, environmental assets such as beaches and wetlands were not assessed economically due to the complexity in valuing ecosystem services. The loss of both public infrastructure and environmental assets from flooding would result in significant economic loss. Therefore, the total potential economic loss figures estimated in these data are likely an underestimate. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf.

  14. i

    Grant Giving Statistics for Fort Hood Region Economic Development Foundation...

    • instrumentl.com
    Updated Aug 14, 2021
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    (2021). Grant Giving Statistics for Fort Hood Region Economic Development Foundation [Dataset]. https://www.instrumentl.com/990-report/fort-hood-region-economic-development-foundation
    Explore at:
    Dataset updated
    Aug 14, 2021
    Area covered
    Fort Hood
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Fort Hood Region Economic Development Foundation

  15. T

    Turkey Internet Banking: FT: Payments: Volume: Tax

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Turkey Internet Banking: FT: Payments: Volume: Tax [Dataset]. https://www.ceicdata.com/en/turkey/internet-banking-statistics/internet-banking-ft-payments-volume-tax
    Explore at:
    Dataset updated
    Oct 15, 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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Turkey
    Variables measured
    Payment System
    Description

    Turkey Internet Banking: FT: Payments: Volume: Tax data was reported at 6,608.428 Unit th in Jun 2018. This records a decrease from the previous number of 6,832.819 Unit th for Mar 2018. Turkey Internet Banking: FT: Payments: Volume: Tax data is updated quarterly, averaging 4,882.877 Unit th from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 8,550.262 Unit th in Mar 2016 and a record low of 2,094.193 Unit th in Dec 2007. Turkey Internet Banking: FT: Payments: Volume: Tax data remains active status in CEIC and is reported by The Banks Association of Turkey. The data is categorized under Global Database’s Turkey – Table TR.KA010: Internet Banking Statistics.

  16. T

    Turkey Internet Banking: Financial Transactions (FT): Payments: Volume

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Turkey Internet Banking: Financial Transactions (FT): Payments: Volume [Dataset]. https://www.ceicdata.com/en/turkey/internet-banking-statistics/internet-banking-financial-transactions-ft-payments-volume
    Explore at:
    Dataset updated
    Oct 15, 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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Turkey
    Variables measured
    Payment System
    Description

    Turkey Internet Banking: Financial Transactions (FT): Payments: Volume data was reported at 38,792.957 Unit th in Jun 2018. This records a decrease from the previous number of 44,034.061 Unit th for Mar 2018. Turkey Internet Banking: Financial Transactions (FT): Payments: Volume data is updated quarterly, averaging 35,506.495 Unit th from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 51,622.393 Unit th in Mar 2015 and a record low of 11,709.385 Unit th in Mar 2007. Turkey Internet Banking: Financial Transactions (FT): Payments: Volume data remains active status in CEIC and is reported by The Banks Association of Turkey. The data is categorized under Global Database’s Turkey – Table TR.KA010: Internet Banking Statistics.

  17. F

    Gross Domestic Product: All Industries in Fort Bend County, TX

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Gross Domestic Product: All Industries in Fort Bend County, TX [Dataset]. https://fred.stlouisfed.org/series/GDPALL48157
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    Fort Bend County, Texas
    Description

    Graph and download economic data for Gross Domestic Product: All Industries in Fort Bend County, TX (GDPALL48157) from 2001 to 2023 about Fort Bend County, TX; Houston; TX; industry; GDP; and USA.

  18. F

    All Employees: Financial Activities: Credit Intermediation and Related...

    • fred.stlouisfed.org
    json
    Updated Sep 20, 2025
    + more versions
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    (2025). All Employees: Financial Activities: Credit Intermediation and Related Activities Including Monetary Authorities - Central Bank in Fort Lauderdale-Pompano Beach-Sunrise, FL (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU12227445552200001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 20, 2025
    License

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

    Area covered
    Fort Lauderdale, Sunrise, Pompano Beach, Florida
    Description

    Graph and download economic data for All Employees: Financial Activities: Credit Intermediation and Related Activities Including Monetary Authorities - Central Bank in Fort Lauderdale-Pompano Beach-Sunrise, FL (MD) (SMU12227445552200001SA) from Jan 1990 to Aug 2025 about Ft. Lauderdale, monetary authorities, credits, financial, FL, employment, and USA.

  19. U

    United Kingdom PE Ratio: Actuaries Share Index: FTSE 350 Higher Yield

    • ceicdata.com
    Updated Aug 20, 2018
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    CEICdata.com (2018). United Kingdom PE Ratio: Actuaries Share Index: FTSE 350 Higher Yield [Dataset]. https://www.ceicdata.com/en/united-kingdom/financial-times-stock-exchange-pe-ratio
    Explore at:
    Dataset updated
    Aug 20, 2018
    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
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Price-Earnings Ratio
    Description

    PE Ratio: Actuaries Share Index: FTSE 350 Higher Yield data was reported at 9.650 Unit in Oct 2018. This records a decrease from the previous number of 10.270 Unit for Sep 2018. PE Ratio: Actuaries Share Index: FTSE 350 Higher Yield data is updated monthly, averaging 13.865 Unit from Jan 1999 (Median) to Oct 2018, with 238 observations. The data reached an all-time high of 50.870 Unit in Aug 2016 and a record low of 7.390 Unit in Feb 2009. PE Ratio: Actuaries Share Index: FTSE 350 Higher Yield data remains active status in CEIC and is reported by Financial Times. The data is categorized under Global Database’s United Kingdom – Table UK.Z003: Financial Times Stock Exchange: PE Ratio.

  20. E

    European Union Imports: swda: EA 20: Food, Drink & Tobacco (FT)

    • ceicdata.com
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    CEICdata.com, European Union Imports: swda: EA 20: Food, Drink & Tobacco (FT) [Dataset]. https://www.ceicdata.com/en/european-union/eurostat-trade-statistics-by-sitc-seasonally--working-days-adjusted/imports-swda-ea-20-food-drink--tobacco-ft
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    Dataset provided by
    CEICdata.com
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    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    European Union
    Variables measured
    Merchandise Trade
    Description

    European Union Imports: swda: EA 20: Food, Drink & Tobacco (FT) data was reported at 18.029 EUR bn in Feb 2025. This records a decrease from the previous number of 18.237 EUR bn for Jan 2025. European Union Imports: swda: EA 20: Food, Drink & Tobacco (FT) data is updated monthly, averaging 9.358 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 18.237 EUR bn in Jan 2025 and a record low of 4.894 EUR bn in Jun 2002. European Union Imports: swda: EA 20: Food, Drink & Tobacco (FT) data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA004: Eurostat: Trade Statistics: By SITC: Seasonally & Working Days Adjusted.

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CEICdata.com (2025). United Kingdom Index: FT 30 [Dataset]. https://www.ceicdata.com/en/united-kingdom/financial-times-stock-exchange-indices/index-ft-30

United Kingdom Index: FT 30

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Dataset updated
Feb 15, 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
Aug 1, 2017 - Jul 1, 2018
Area covered
United Kingdom
Variables measured
Securities Exchange Index
Description

United Kingdom Index: FT 30 data was reported at 2,946.000 01Jul1935=100 in Nov 2018. This records a decrease from the previous number of 2,975.400 01Jul1935=100 for Oct 2018. United Kingdom Index: FT 30 data is updated monthly, averaging 1,966.600 01Jul1935=100 from Jan 1975 (Median) to Nov 2018, with 527 observations. The data reached an all-time high of 4,156.800 01Jul1935=100 in Dec 1999 and a record low of 236.900 01Jul1935=100 in Jan 1975. United Kingdom Index: FT 30 data remains active status in CEIC and is reported by Financial Times. The data is categorized under Global Database’s United Kingdom – Table UK.Z001: Financial Times Stock Exchange: Indices.

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