14 datasets found
  1. France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of...

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/france/poverty/fr-survey-mean-consumption-or-income-per-capita-bottom-40-of-population-annualized-average-growth-rate
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    Dataset updated
    Dec 15, 2017
    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
    Dec 1, 2015
    Area covered
    France
    Description

    France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 0.740 % in 2015. France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 0.740 % from Dec 2015 (Median) to 2015, with 1 observations. France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

  2. T

    France Stock Market Index (FR40) Data

    • es.tradingeconomics.com
    • pt.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 8, 2025
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    TRADING ECONOMICS (2025). France Stock Market Index (FR40) Data [Dataset]. https://es.tradingeconomics.com/france/stock-market
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 8, 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
    Jul 9, 1987 - Jun 6, 2025
    Area covered
    Francia
    Description

    El índice bursátil principal de Francia, el FR40, cayó a 7790 puntos el 6 de junio de 2025, perdiendo un 0.01% con respecto a la sesión anterior. Durante el último mes, el índice ha subido un 2.13%, aunque sigue siendo un 2.65% más bajo que hace un año, según la negociación en un contrato por diferencia (CFD) que sigue este índice de referencia de Francia. Los valores actuales, los datos históricos, las previsiones, estadísticas, gráficas y calendario económico - Francia - Mercado de acciones.

  3. F

    France FR: Population: Male: Ages 40-44: % of Male Population

    • ceicdata.com
    Updated Apr 24, 2018
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    CEICdata.com (2018). France FR: Population: Male: Ages 40-44: % of Male Population [Dataset]. https://www.ceicdata.com/en/france/population-and-urbanization-statistics
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    Dataset updated
    Apr 24, 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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    France
    Variables measured
    Population
    Description

    FR: Population: Male: Ages 40-44: % of Male Population data was reported at 6.650 % in 2017. This records a decrease from the previous number of 6.824 % for 2016. FR: Population: Male: Ages 40-44: % of Male Population data is updated yearly, averaging 7.075 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.007 % in 1991 and a record low of 4.126 % in 1960. FR: Population: Male: Ages 40-44: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Male population between the ages 40 to 44 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

  4. France Population: Men: Aged 40 to 59

    • ceicdata.com
    Updated Apr 24, 2018
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    CEICdata.com (2018). France Population: Men: Aged 40 to 59 [Dataset]. https://www.ceicdata.com/en/france/population/population-men-aged-40-to-59
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    Dataset updated
    Apr 24, 2018
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    France
    Variables measured
    Population
    Description

    France Population: Men: Aged 40 to 59 data was reported at 8,655,846.000 Person in 2017. This records a decrease from the previous number of 8,672,674.000 Person for 2016. France Population: Men: Aged 40 to 59 data is updated yearly, averaging 8,361,227.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 8,721,513.000 Person in 2013 and a record low of 6,701,798.000 Person in 1990. France Population: Men: Aged 40 to 59 data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.G001: Population .

  5. Reasons for adults age 40 years and older to do a cognitive assessment U.S....

    • statista.com
    Updated Aug 10, 2021
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    Statista (2021). Reasons for adults age 40 years and older to do a cognitive assessment U.S. 2021 [Dataset]. https://www.statista.com/statistics/1255649/reasons-for-cognitive-evaluation-adults-40-plus-us/
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    Dataset updated
    Aug 10, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 12, 2021 - Mar 24, 2021
    Area covered
    United States
    Description

    In the United States, 63 percent of adults age 40 years and older indicated that they would go for an evaluation of their cognitive function to test for impairments under the recommendation of their doctor or another healthcare professional. This statistic shows reasons for adults age 40 and older to undergo an evaluation of their cognitive function in the U.S. in 2021.

  6. French people buying second hand purchases or renting for climate protection...

    • statista.com
    • ai-chatbox.pro
    Updated Feb 22, 2024
    + more versions
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    Statista (2024). French people buying second hand purchases or renting for climate protection 2019 [Dataset]. https://www.statista.com/statistics/1023076/readiness-second-hand-purchase-or-rent-sustainability-france/
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    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 25, 2019 - Jun 26, 2019
    Area covered
    France
    Description

    This graph presents the share of French people who stated favoring second hand purchases or renting in order to protect the environment, in a survey from 2019. It appears that 40 percent of respondents declared that they already prioritized buying second hand products or renting in order to protect the environment.

  7. w

    40 days of decrease : a Lenten journey for those hungry for a different kind...

    • workwithdata.com
    Updated Jan 10, 2022
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    Work With Data (2022). 40 days of decrease : a Lenten journey for those hungry for a different kind of fast [Dataset]. https://www.workwithdata.com/object/40-days-of-decrease-a-lenten-journey-for-those-hungry-for-a-different-kind-of-fast-book-by-alicia-britt-chole-0000
    Explore at:
    Dataset updated
    Jan 10, 2022
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    Explore 40 days of decrease : a Lenten journey for those hungry for a different kind of fast through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets

  8. o

    Data and Code for: The Human Side of Structural Transformation

    • openicpsr.org
    delimited
    Updated Mar 15, 2022
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    Tommaso Porzio; Federico Rossi; Gabriella Santangelo (2022). Data and Code for: The Human Side of Structural Transformation [Dataset]. http://doi.org/10.3886/E165042V1
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    delimitedAvailable download formats
    Dataset updated
    Mar 15, 2022
    Dataset provided by
    American Economic Association
    Authors
    Tommaso Porzio; Federico Rossi; Gabriella Santangelo
    License

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

    Description

    We document that nearly half of the global decline in agricultural employment was driven by new cohorts entering the labor market. A new dataset of policy reforms supports an interpretation of these cohort effects as human capital. Using a model of frictional labor reallocation, we conclude that human capital growth led to a sharp decline in the agricultural labor supply, accounting, at fixed prices, for 40% of the decrease in agricultural employment. This aggregate effect is halved in general equilibrium and it reflects the role of human capital as both a mediating factor and an independent driver of labor reallocation.

  9. Most searched-for content for luxury product purchase decision in China 2024...

    • statista.com
    Updated Jul 19, 2024
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    Statista (2024). Most searched-for content for luxury product purchase decision in China 2024 [Dataset]. https://www.statista.com/statistics/1479977/china-major-aspects-to-research-before-buying-luxury-products/
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    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    Two-thirds of Chinese luxury goods consumers conducted product research before making a purchase decision for high-end items, according to a survey released in May 2024. Over 40 percent of survey participants looked for product details like parameters, photos, and prices, rankings of similar products, and the new arrivals of the season. One in ten respondents would be interested in information related to the brand's spokesperson or associated key opinion leaders.

  10. Internal displacements of people from weather-related disasters in France...

    • statista.com
    • ai-chatbox.pro
    Updated Aug 22, 2024
    + more versions
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    Statista (2024). Internal displacements of people from weather-related disasters in France 2008-2023 [Dataset]. https://www.statista.com/statistics/1422987/internal-displacements-of-people-from-weather-related-disasters-in-france/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    Since 2008, the number of internal displacements of people due to weather-related natural disasters in France has fluctuated. The number of internal displacements of people due to weather-related natural disasters in France amounted to 7,400 people in 2023. The Occitanie wildfire was responsible for 40 percent of the internal displacements in 2023, accounting for a total of 3,000 people.

  11. b

    Data from: Structural Basis for Client Recognition and Activity of Hsp40...

    • bmrb.io
    Updated Oct 16, 2021
    + more versions
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    Y. Jiang; P. Rossi; C. Kalodimos (2021). Structural Basis for Client Recognition and Activity of Hsp40 Chaperones [Dataset]. http://doi.org/10.13018/BMR30636
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    Dataset updated
    Oct 16, 2021
    Dataset provided by
    Biological Magnetic Resonance Data Bank
    Authors
    Y. Jiang; P. Rossi; C. Kalodimos
    Description

    Biological Magnetic Resonance Bank Entry 30636: Structural Basis for Client Recognition and Activity of Hsp40 Chaperones

  12. Ford Motor Company: R&D costs 2013-2024

    • statista.com
    Updated Mar 27, 2025
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    Statista (2025). Ford Motor Company: R&D costs 2013-2024 [Dataset]. https://www.statista.com/statistics/260867/fords-research-development-expenditures/
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    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Ford’s research and development (R&D) expenditures came to about eight billion U.S. dollars in 2024. The Michigan-based company appears to be adapting to altered fuel economy regulations and the declining demand for sedans and smaller cars in the United States by developing new designs and products. Focus of research and development activities In light of an increased concern from consumers and policymakers about the impact of fossil fuels on carbon dioxide emissions, Ford is working on a new fleet of electric vehicles with a goal for 40 or 50 percent of its global vehicle volume to be fully electric by 2030. In June 2020, it was announced that Ford will gain access to Volkswagen's modular electric drive (MEB) architecture to assemble electric vehicles (EVs), a partnership which was expanded in March 2022 as Ford planned to produce another electric model for the European market based on Volkswagen's MEB platform. This move put a halt to a planned partnership between Ford's Lincoln brand and EV startup Rivian to build EVs. In 2022, Ford sold around 91 million shares in Rivian. In September 2021, the manufacturer further announced plans to open campuses in Tennessee and Kentucky to build the next generation of electric F-series trucks and batteries. The F-Series was among the best-selling cars and light trucks worldwide.Another focus of Ford’s research and development department is artificial intelligence (AI). For example, Ford has invested more than one billion U.S. dollars in Argo AI, the most well-funded U.S.-based AI startup. Ford used Argo AI technology in its vehicles; partially autonomous cars are expected to become a large market by 2025.

  13. e

    Data from: Structural Basis for Client Recognition and Activity of Hsp40...

    • ebi.ac.uk
    Updated Apr 30, 2024
    + more versions
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    (2024). Structural Basis for Client Recognition and Activity of Hsp40 Chaperones [Dataset]. https://www.ebi.ac.uk/interpro/structure/PDB/6psi/entry/InterPro/
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    Dataset updated
    Apr 30, 2024
    License

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

    Description

    The main entity of this document is a structure with accession number 6psi

  14. T

    FR40 - Prix De L'Action

    • fr.tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 9, 2025
    + more versions
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    TRADING ECONOMICS (2025). FR40 - Prix De L'Action [Dataset]. https://fr.tradingeconomics.com/cac:ind
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 9, 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 1, 2000 - Jun 9, 2025
    Area covered
    France
    Description

    Prices for FR40 - Prix De L'Action including live quotes, historical charts and news. FR40 - Prix De L'Action was last updated by Trading Economics this June 9 of 2025.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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CEICdata.com (2017). France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/france/poverty/fr-survey-mean-consumption-or-income-per-capita-bottom-40-of-population-annualized-average-growth-rate
Organization logo

France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate

Explore at:
Dataset updated
Dec 15, 2017
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
Dec 1, 2015
Area covered
France
Description

France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 0.740 % in 2015. France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 0.740 % from Dec 2015 (Median) to 2015, with 1 observations. France FR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

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