100+ datasets found
  1. o

    Ontario Economic Accounts

    • data.ontario.ca
    • open.canada.ca
    xlsx
    Updated Oct 10, 2024
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    Finance (2024). Ontario Economic Accounts [Dataset]. https://data.ontario.ca/dataset/ontario-economic-accounts
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    xlsx(466899), xlsx(486175)Available download formats
    Dataset updated
    Oct 10, 2024
    Dataset authored and provided by
    Finance
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Oct 10, 2024
    Area covered
    Ontario
    Description

    The Ontario Economic Accounts (OEA) is a public document, released four times a year that provides an overall assessment of the current state of the Ontario economy. OEA estimates are based on Statistics Canada data. Its primary audience includes economists in both public and private sectors and credit rating agencies.

    *[OEA]: Ontario Economic Accounts

  2. d

    Global Gridded Geographically Based Economic Data (G-Econ), Version 4

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Dec 6, 2023
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    SEDAC (2023). Global Gridded Geographically Based Economic Data (G-Econ), Version 4 [Dataset]. https://catalog.data.gov/dataset/global-gridded-geographically-based-economic-data-g-econ-version-4
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    Dataset updated
    Dec 6, 2023
    Dataset provided by
    SEDAC
    Description

    The Global Gridded Geographically Based Economic Data (G-Econ), Version 4 contains derived one degree grid cells of Gross Domestic Product (GDP) data in Grid and ASCII formats for both Market Exchange Rate (MER) and Purchasing Power Parity (PPP) for the years 1990, 1995, 2000 and 2005. MER is the exchange rate between local and U.S. dollar currencies for a given time period established by the market. PPP is the exchange rate between a country's currency and U.S. dollars adjusted to reflect the actual cost in U.S. dollars of purchasing a standardized market basket of goods in that country using the country's currency. The original data from the G-Econ Project at Yale University is also available in tabular format and includes latitude and longitude geographic coordinates of the grid cells, area of grid cells, as well as country names, distance to coast, elevation, vegetation, population, precipitation and temperature.

  3. U

    United States Lagging Economic Index: Diffusion Index: 1 Month

    • ceicdata.com
    Updated Oct 15, 2024
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    CEICdata.com (2024). United States Lagging Economic Index: Diffusion Index: 1 Month [Dataset]. https://www.ceicdata.com/en/united-states/leading-economic-index/lagging-economic-index-diffusion-index-1-month
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    Dataset updated
    Oct 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Oct 1, 2023 - Sep 1, 2024
    Area covered
    United States
    Variables measured
    Business Cycle Survey
    Description

    United States Lagging Economic Index: Diffusion Index: 1 Month data was reported at 28.600 NA in Sep 2024. This stayed constant from the previous number of 28.600 NA for Aug 2024. United States Lagging Economic Index: Diffusion Index: 1 Month data is updated monthly, averaging 57.100 NA from Feb 1959 (Median) to Sep 2024, with 788 observations. The data reached an all-time high of 100.000 NA in Sep 2022 and a record low of 0.000 NA in Jun 1975. United States Lagging Economic Index: Diffusion Index: 1 Month data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

  4. FY2008 Global Economic Indicators

    • catalog.data.gov
    Updated Nov 10, 2020
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    U.S. Department of State (2020). FY2008 Global Economic Indicators [Dataset]. https://catalog.data.gov/dataset/fy2008-global-economic-indicators
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    United States Department of Statehttp://state.gov/
    Description

    This dataset consists of general economic indicators for all countries in the world as collated in the Department of State's Economic Engagement Matrix.

  5. Economic Census: Economic Census of the United States: Economic Census of...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). Economic Census: Economic Census of the United States: Economic Census of Island Areas [Dataset]. https://catalog.data.gov/dataset/economic-census-economic-census-of-the-united-states-economic-census-of-island-areas
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    Every five years, the U.S. Census Bureau collects extensive statistics about businesses that are essential to understanding the economy of American Samoa, Commonwealth of Northern Mariana Islands, Guam, Virgin Islands, and Puerto Rico. This official count, as part of the Economic Census of Island Areas, serves as the foundation for the measurement of Island Areas businesses and their economic impact.

  6. Global Cyclone Total Economic Loss Risk Deciles

    • data.nasa.gov
    • s.cnmilf.com
    • +4more
    application/rdfxml +5
    Updated Sep 20, 2019
    + more versions
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    (2019). Global Cyclone Total Economic Loss Risk Deciles [Dataset]. https://data.nasa.gov/dataset/Global-Cyclone-Total-Economic-Loss-Risk-Deciles/kzk4-56dz
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    tsv, csv, json, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Sep 20, 2019
    Description

    The Global Cyclone Total Economic Loss Risk Deciles is a 2.5 minute grid of global cyclone total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP is spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using population distribution data. A per capita contribution value is determined within each subnational Unit, and this value is multiplied by the population per grid cell as determined from Gridded Population of the World, Version 3 (GPWv3) data. Once a GDP value is determined on a per grid cell basis, then the regionally variable loss rate, as derived from the historical records of EM-DAT, is used to determine the total economic loss risks posed to a grid cell by cyclone hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).

  7. T

    United States - FOMC Summary of Economic Projections for the Fed Funds Rate,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 1, 2020
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    TRADING ECONOMICS (2020). United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, High [Dataset]. https://tradingeconomics.com/united-states/fomc-summary-of-economic-projections-for-the-fed-funds-rate-central-tendency-high-fed-data.html
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Nov 1, 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, 2024
    Area covered
    United States
    Description

    United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, High was 3.60% in January of 2027, according to the United States Federal Reserve. Historically, United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, High reached a record high of 5.40 in January of 2023 and a record low of 0.10 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, High - last updated from the United States Federal Reserve on December of 2024.

  8. T

    Tanzania Economic growth, percent change in quarterly real GDP, June, 2024 -...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 15, 2024
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    Globalen LLC (2024). Tanzania Economic growth, percent change in quarterly real GDP, June, 2024 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Tanzania/gdp_growth/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Jun 15, 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
    Mar 31, 2011 - Jun 30, 2024
    Area covered
    Tanzania
    Description

    The latest data from show economic growth of 5.33 percent, which is a decrease from the rate of growth of 5.55 percent in the previous quarter and
    an increase compared to the growth rate of 4.71 percent in the same quarter last year. The economic growth time series for Tanzania cover the period...

  9. U

    United States Company's U.S. Employment: Next 6 Months: No Change

    • ceicdata.com
    Updated Nov 15, 2024
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    CEICdata.com (2024). United States Company's U.S. Employment: Next 6 Months: No Change [Dataset]. https://www.ceicdata.com/en/united-states/ceo-economic-outlook-survey/companys-us-employment-next-6-months-no-change
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Economic Outlook Survey
    Description

    United States Company's U.S. Employment: Next 6 Months: Number Change data was reported at 30.000 % in Sep 2018. This records an increase from the previous number of 29.000 % for Jun 2018. United States Company's U.S. Employment: Next 6 Months: Number Change data is updated quarterly, averaging 41.500 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 52.000 % in Sep 2003 and a record low of 21.000 % in Mar 2009. United States Company's U.S. Employment: Next 6 Months: Number Change data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s United States – Table US.S018: CEO Economic Outlook Survey.

  10. A12: Employment, unemployment and economic inactivity by nationality and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Nov 12, 2024
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    Office for National Statistics (2024). A12: Employment, unemployment and economic inactivity by nationality and country of birth [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/a12employmentunemploymentandeconomicinactivitybynationalityandcountryofbirth
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    xlsAvailable download formats
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Labour market activity by nationality, country of birth and age, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

  11. n

    Data from: German Socio-Economic Panel

    • neuinfo.org
    • scicrunch.org
    • +1more
    Updated Dec 12, 2024
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    (2024). German Socio-Economic Panel [Dataset]. http://identifiers.org/RRID:SCR_013140
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    Dataset updated
    Dec 12, 2024
    Description

    A wide-ranging representative longitudinal study of private households that permits researchers to track yearly changes in the health and economic well-being of older people relative to younger people in Germany from 1984 to the present. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. In addition to standard demographic information, the GSOEP questionnaire also contains objective measuresuse of time, use of earnings, income, benefit payments, health, etc. and subjective measures - level of satisfaction with various aspects of life, hopes and fears, political involvement, etc. of the German population. The first wave, collected in 1984 in the western states of Germany, contains 5,921 households in two randomly sampled sub-groups: 1) German Sub-Sample: people in private households where the head of household was not of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality; 2) Foreign Sub-Sample: people in private households where the head of household was of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality. In each year since 1984, the GSOEP has attempted to re-interview original sample members unless they leave the country. A major expansion of the GSOEP was necessitated by German reunification. In June 1990, the GSOEP fielded a first wave of the eastern states of Germany. This sub-sample includes individuals in private households where the head of household was a citizen of the German Democratic Republic. The first wave contains 2,179 households. In 1994 and 1995, the GSOEP added a sample of immigrants to the western states of Germany from 522 households who arrived after 1984, which in 2006 included 360 households and 684 respondents. In 1998 a new refreshment sample of 1,067 households was selected from the population of private households. In 2000 a sample was drawn using essentially similar selection rules as the original German sub-sample and the 1998 refreshment sample with some modifications. The 2000 sample includes 6,052 households covering 10,890 individuals. Finally, in 2002, an overrepresentation of high-income households was added with 2,671 respondents from 1,224 households, of which 1,801 individuals (689 households) were still included in the year 2006. Data Availability: The data are available to researchers in Germany and abroad in SPSS, SAS, TDA, STATA, and ASCII format for immediate use. Extensive documentation in English and German is available online. The SOEP data are available in German and English, alone or in combination with data from other international panel surveys (e.g., the Cross-National Equivalent Files which contain panel data from Canada, Germany, and the United States). The public use file of the SOEP with anonymous microdata is provided free of charge (plus shipping costs) to universities and research centers. The individual SOEP datasets cannot be downloaded from the DIW Web site due to data protection regulations. Use of the data is subject to special regulations, and data privacy laws necessitate the signing of a data transfer contract with the DIW. The English Language Public Use Version of the GSOEP is distributed and administered by the Department of Policy Analysis and Management, Cornell University. The data are available on CD-ROM from Cornell for a fee. Full instructions for accessing GSOEP data may be accessed on the project website, http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * Dates of Study: 1984-present * Study Features: Longitudinal, International * Sample Size: ** 1984: 12,290 (GSOEP West) ** 1990: 4,453 (GSOEP East) ** 2000: 20,000+ Links: * Cornell Project Website: http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * GSOEP ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00131

  12. U

    United States Core PCE Inflation Nowcast: sa: Contribution: Business Cycle...

    • ceicdata.com
    Updated Nov 15, 2024
    + more versions
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    CEICdata.com (2024). United States Core PCE Inflation Nowcast: sa: Contribution: Business Cycle Indicator: Weekly Economic Index [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-personal-consumption-expenditure-pce-inflation-core/core-pce-inflation-nowcast-sa-contribution-business-cycle-indicator-weekly-economic-index
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 8, 2024 - Sep 23, 2024
    Area covered
    United States
    Description

    United States Core PCE Inflation Nowcast: sa: Contribution: Business Cycle Indicator: Weekly Economic Index data was reported at 0.224 % in 23 Sep 2024. This records a decrease from the previous number of 0.268 % for 16 Sep 2024. United States Core PCE Inflation Nowcast: sa: Contribution: Business Cycle Indicator: Weekly Economic Index data is updated weekly, averaging 0.062 % from Aug 2019 (Median) to 23 Sep 2024, with 267 observations. The data reached an all-time high of 18.325 % in 31 Aug 2020 and a record low of 0.000 % in 29 Nov 2021. United States Core PCE Inflation Nowcast: sa: Contribution: Business Cycle Indicator: Weekly Economic Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Personal Consumption Expenditure (PCE) Inflation: Core.

  13. H

    Haiti Economic growth - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 28, 2016
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    Globalen LLC (2016). Haiti Economic growth - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Haiti/economic_growth/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Nov 28, 2016
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1961 - Dec 31, 2023
    Area covered
    Haiti
    Description

    Haiti: Economic growth: the rate of change of real GDP: The latest value from 2023 is -1.86 percent, a decline from -1.68 percent in 2022. In comparison, the world average is 3.34 percent, based on data from 179 countries. Historically, the average for Haiti from 1961 to 2023 is 1.27 percent. The minimum value, -11.95 percent, was reached in 1994 while the maximum of 9.9 percent was recorded in 1995.

  14. Consumer opinion on the economic situation in Spain 2019-2023

    • statista.com
    Updated Aug 23, 2024
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    Statista (2024). Consumer opinion on the economic situation in Spain 2019-2023 [Dataset]. https://www.statista.com/statistics/327385/general-economic-situation-over-last-months-in-spain/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Dec 2023
    Area covered
    Spain
    Description

    This statistic shows consumers' opinion of the economic situation in Spain between January and December 2023. In December 2023, the perception of the economic situation deteriorated compared to the previous month. That month, the net balance of responses was -21.9 percentage points over the total.

  15. T

    United States - FOMC Summary of Economic Projections for the Civilian...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 21, 2019
    + more versions
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    TRADING ECONOMICS (2019). United States - FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, Low [Dataset]. https://tradingeconomics.com/united-states/fomc-summary-of-economic-projections-for-the-civilian-unemployment-rate-central-tendency-low-fed-data.html
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Jul 21, 2019
    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, 2024
    Area covered
    United States
    Description

    United States - FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, Low was 4.00000 Fourth Qtr., % in January of 2027, according to the United States Federal Reserve. Historically, United States - FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, Low reached a record high of 7.00000 in January of 2020 and a record low of 3.50000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, Low - last updated from the United States Federal Reserve on December of 2024.

  16. T

    United States - Government consumption expenditures and gross investments:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 4, 2020
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    TRADING ECONOMICS (2020). United States - Government consumption expenditures and gross investments: Economic affairs: Other economic affairs: Natural resources [Dataset]. https://tradingeconomics.com/united-states/government-consumption-expenditures-and-gross-investments-economic-affairs-other-economic-affairs-natural-resources-fed-data.html
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Sep 4, 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, 2024
    Area covered
    United States
    Description

    United States - Government consumption expenditures and gross investments: Economic affairs: Other economic affairs: Natural resources was 64.01000 Bil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Government consumption expenditures and gross investments: Economic affairs: Other economic affairs: Natural resources reached a record high of 64.01000 in January of 2022 and a record low of 1.62200 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government consumption expenditures and gross investments: Economic affairs: Other economic affairs: Natural resources - last updated from the United States Federal Reserve on November of 2024.

  17. d

    Techno-Economic Assessment for Integrating Biosorption into Rare Earth...

    • catalog.data.gov
    • gdr.openei.org
    • +3more
    Updated Jun 25, 2021
    + more versions
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    Lawrence Livermore National Laboratory (2021). Techno-Economic Assessment for Integrating Biosorption into Rare Earth Recovery Process [Dataset]. https://catalog.data.gov/dataset/techno-economic-assessment-for-integrating-biosorption-into-rare-earth-recovery-process-30aae
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    Dataset updated
    Jun 25, 2021
    Dataset provided by
    Lawrence Livermore National Laboratory
    Area covered
    Earth
    Description

    The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into a large-scale process for producing salable total rare earth oxides (TREOs) from various feedstocks. An airlift bioractor is proposed to carry out a biosorption process mediated by bioengineered rare earth-adsorbing bacteria. Techno-econmic asssements were compared for three distinctive categories of REE feedstocks requiring different pre-processing steps. Key parameters identified that affect profitability include REE concentration, composition of the feedstock, and costs of feedstock pretreatment and waste management. Among the 11 specific feedstocks investigated, coal ash from the Appalachian Basin was projected to be the most profitable, largely due to its high-value REE content. Its cost breakdown includes pre-processing (primarily leaching) (8077.71%), biosorption (1619.04%), and oxalic acid precipitation and TREO roasting (3.35%). Surprisingly, biosorption from the high-grade Bull Hill REE ore is less profitable due to high material cost and low production revenue. Overall, our results confirmed that the application of biosorption to low-grade feedstocks for REE recovery is economically viable.

  18. R

    Russia Economic Activity Rate: SB: Republic of Buryatia

    • ceicdata.com
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    CEICdata.com, Russia Economic Activity Rate: SB: Republic of Buryatia [Dataset]. https://www.ceicdata.com/en/russia/economic-activity-rate-by-region-annual/economic-activity-rate-sb-republic-of-buryatia
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Russia
    Variables measured
    Labour Activity
    Description

    Economic Activity Rate: SB: Republic of Buryatia data was reported at 56.700 % in 2023. This records an increase from the previous number of 56.000 % for 2022. Economic Activity Rate: SB: Republic of Buryatia data is updated yearly, averaging 61.400 % from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 66.000 % in 2000 and a record low of 56.000 % in 2022. Economic Activity Rate: SB: Republic of Buryatia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GB006: Economic Activity Rate: by Region: Annual.

  19. Economic Units Of The State Of Nuevo Leon

    • hub.tumidata.org
    url
    Updated Jun 4, 2024
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    TUMI (2024). Economic Units Of The State Of Nuevo Leon [Dataset]. https://hub.tumidata.org/dataset/economic_units_of_the_state_of_nuevo_leon_monterrey
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    urlAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Tumi Inc.http://www.tumi.com/
    Area covered
    Nuevo Leon
    Description

    Economic Units Of The State Of Nuevo Leon
    This dataset falls under the category Traffic Generating Parameters Other.
    It contains the following data: Economic units of the state of Nuevo Leon
    This dataset was scouted on 2022-02-13 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://www.inegi.org.mx/contenidos/masiva/denue/denue_19_shp.zipSee URL for data access and license information.

  20. d

    Replication Data for: International Constraints and Electoral Decisions:...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Kosmidis, Spyros (2023). Replication Data for: International Constraints and Electoral Decisions: Does the Room to Maneuver Attenuate Economic Voting? [Dataset]. https://search.dataone.org/view/sha256%3A7ea4d1317b48582e769b7e89e5cbcd4700afbb15eb0ce661081fe8dbe2109d6d
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kosmidis, Spyros
    Description

    Prominent studies of electoral accountability and economic voting suggest that government constraints and international financial structures decrease the economic vote. The proposed mechanism is often labelled as the Room to Maneuver and it posits that because elected officials have limited space to propose and implement economic policy, (1) politicians can shirk responsibility, and thus (2) voters are less likely to place voting weights on the economy. However, results from elections that took place in Europe during the Great Recession and scholarly research on economic voting in these elections cast serious doubts on the causal mechanism. This paper directly tests this mechanism with a survey experiment using data from Greece (the country most affected by the debt crisis). The results suggest that, although the economic vote is strong and substantive, its size does not vary across the Room to Maneuver treatments. This finding informs the literature on economic voting and carries out important implications for party strategies with respect to exogenous policy impositions and their electoral effects.

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Finance (2024). Ontario Economic Accounts [Dataset]. https://data.ontario.ca/dataset/ontario-economic-accounts

Ontario Economic Accounts

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30 scholarly articles cite this dataset (View in Google Scholar)
xlsx(466899), xlsx(486175)Available download formats
Dataset updated
Oct 10, 2024
Dataset authored and provided by
Finance
License

https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

Time period covered
Oct 10, 2024
Area covered
Ontario
Description

The Ontario Economic Accounts (OEA) is a public document, released four times a year that provides an overall assessment of the current state of the Ontario economy. OEA estimates are based on Statistics Canada data. Its primary audience includes economists in both public and private sectors and credit rating agencies.

*[OEA]: Ontario Economic Accounts

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