100+ datasets found
  1. T

    Global Supply Chain Pressure Index

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 19, 2022
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    TRADING ECONOMICS (2022). Global Supply Chain Pressure Index [Dataset]. https://tradingeconomics.com/world/supply-chain-pressure-index
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 19, 2022
    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
    Sep 30, 1997 - May 31, 2025
    Area covered
    World
    Description

    Supply Chain Pressure Index in World increased to 0.19 points in May from -0.28 points in April of 2025. This dataset includes a chart with historical data for Global Supply Chain Pressure Index.

  2. Global supply chain pressure index monthly 2000-2024

    • ai-chatbox.pro
    • statista.com
    Updated Jun 2, 2025
    + more versions
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    Statista Research Department (2025). Global supply chain pressure index monthly 2000-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F67390%2Flogistics-industry-worldwide%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The global supply chain pressure index reached -0.85 points in April 2024, down from -0.3 points in the previous month. After the challenging conditions caused by the COVID-19 pandemic, the supply chain pressure index has returned to the pre-pandemic levels.

  3. T

    SUPPLY CHAIN PRESSURE INDEX by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 15, 2024
    + more versions
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    TRADING ECONOMICS (2024). SUPPLY CHAIN PRESSURE INDEX by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/supply-chain-pressure-index/1000?continent=europe
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jan 15, 2024
    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
    2025
    Area covered
    Europe
    Description

    This dataset provides values for SUPPLY CHAIN PRESSURE INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  4. United States ROB Manufacturing: Buying Policy: Production Materials: 60...

    • ceicdata.com
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    CEICdata.com, United States ROB Manufacturing: Buying Policy: Production Materials: 60 Days [Dataset]. https://www.ceicdata.com/en/united-states/institute-for-supply-management-purchasing-manager-index
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    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
    May 1, 2019 - Apr 1, 2020
    Area covered
    United States
    Variables measured
    Purchasing Manager Index
    Description

    ROB Manufacturing: Buying Policy: Production Materials: 60 Days data was reported at 23.000 Day in Apr 2020. This records a decrease from the previous number of 31.000 Day for Mar 2020. ROB Manufacturing: Buying Policy: Production Materials: 60 Days data is updated monthly, averaging 27.000 Day from Jan 1958 (Median) to Apr 2020, with 748 observations. The data reached an all-time high of 42.000 Day in Jun 1979 and a record low of 15.000 Day in Jul 2009. ROB Manufacturing: Buying Policy: Production Materials: 60 Days data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s United States – Table US.S002: Institute for Supply Management: Purchasing Manager Index. [COVID-19-IMPACT]

  5. T

    SUPPLY CHAIN PRESSURE INDEX by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 15, 2024
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    TRADING ECONOMICS (2024). SUPPLY CHAIN PRESSURE INDEX by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/supply-chain-pressure-index/1000
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jan 15, 2024
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for SUPPLY CHAIN PRESSURE INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  6. United States Report On Business: PMI: Supplier Deliveries: Slower

    • ceicdata.com
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    CEICdata.com, United States Report On Business: PMI: Supplier Deliveries: Slower [Dataset]. https://www.ceicdata.com/en/united-states/institute-for-supply-management-purchasing-manager-index
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    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Purchasing Manager Index
    Description

    Report On Business: PMI: Supplier Deliveries: Slower data was reported at 38.700 % in Jun 2018. This records an increase from the previous number of 29.900 % for May 2018. Report On Business: PMI: Supplier Deliveries: Slower data is updated monthly, averaging 10.000 % from Jun 1976 (Median) to Jun 2018, with 505 observations. The data reached an all-time high of 57.000 % in Apr 1979 and a record low of 2.000 % in May 1986. Report On Business: PMI: Supplier Deliveries: Slower data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s USA – Table US.S001: Institute for Supply Management: Purchasing Manager Index.

  7. H

    Supply Chain Management (Normalized)

    • dataverse.harvard.edu
    Updated May 6, 2025
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    Diomar Anez; Dimar Anez (2025). Supply Chain Management (Normalized) [Dataset]. http://doi.org/10.7910/DVN/WNB7AY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 6, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Diomar Anez; Dimar Anez
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset provides processed and normalized/standardized indices for the management tool group 'Supply Chain Management' (SCM), including related concepts like Supply Chain Integration. Derived from five distinct raw data sources, these indices are specifically designed for comparative longitudinal analysis, enabling the examination of trends and relationships across different empirical domains (web search, literature, academic publishing, and executive adoption). The data presented here represent transformed versions of the original source data, aimed at achieving metric comparability. Users requiring the unprocessed source data should consult the corresponding SCM dataset in the Management Tool Source Data (Raw Extracts) Dataverse. Data Files and Processing Methodologies: Google Trends File (Prefix: GT_): Normalized Relative Search Interest (RSI) Input Data: Native monthly RSI values from Google Trends (Jan 2004 - Jan 2025) for the query "supply chain management" + "supply chain logistics" + "supply chain". Processing: None. The dataset utilizes the original Google Trends index, which is base-100 normalized against the peak search interest for the specified terms and period. Output Metric: Monthly Normalized RSI (Base 100). Frequency: Monthly. Google Books Ngram Viewer File (Prefix: GB_): Normalized Relative Frequency Input Data: Annual relative frequency values from Google Books Ngram Viewer (1950-2022, English corpus, no smoothing) for the query Supply Chain Management + Supply Chain Integration + Supply Chain. Processing: The annual relative frequency series was normalized by setting the year with the maximum value to 100 and scaling all other values (years) proportionally. Output Metric: Annual Normalized Relative Frequency Index (Base 100). Frequency: Annual. Crossref.org File (Prefix: CR_): Normalized Relative Publication Share Index Input Data: Absolute monthly publication counts matching SCM-related keywords [("supply chain management" OR ...) AND ("management" OR ...) - see raw data for full query] in titles/abstracts (1950-2025), alongside total monthly publication counts in Crossref. Data deduplicated via DOIs. Processing: For each month, the relative share of SCM-related publications (SCM Count / Total Crossref Count for that month) was calculated. This monthly relative share series was then normalized by setting the month with the maximum relative share to 100 and scaling all other months proportionally. Output Metric: Monthly Normalized Relative Publication Share Index (Base 100). Frequency: Monthly. Bain & Co. Survey - Usability File (Prefix: BU_): Normalized Usability Index Input Data: Original usability percentages (%) from Bain surveys for specific years: Supply Chain Integration (1999, 2000, 2002); Supply Chain Management (2004, 2006, 2008, 2010, 2012, 2014, 2017, 2022). Processing: Semantic Grouping: Data points for "Supply Chain Integration" and "Supply Chain Management" were treated as a single conceptual series for SCM. Normalization: The combined series of original usability percentages was normalized relative to its own highest observed historical value across all included years (Max % = 100). Output Metric: Biennial Estimated Normalized Usability Index (Base 100 relative to historical peak). Frequency: Biennial (Approx.). Bain & Co. Survey - Satisfaction File (Prefix: BS_): Standardized Satisfaction Index Input Data: Original average satisfaction scores (1-5 scale) from Bain surveys for specific years: Supply Chain Integration (1999, 2000, 2002); Supply Chain Management (2004, 2006, 2008, 2010, 2012, 2014, 2017, 2022). Processing: Semantic Grouping: Data points for "Supply Chain Integration" and "Supply Chain Management" were treated as a single conceptual series for SCM. Standardization (Z-scores): Original scores (X) were standardized using Z = (X - ?) / ?, with ?=3.0 and ??0.891609. Index Scale Transformation: Z-scores were transformed via Index = 50 + (Z * 22). Output Metric: Biennial Standardized Satisfaction Index (Center=50, Range?[1,100]). Frequency: Biennial (Approx.). File Naming Convention: Files generally follow the pattern: PREFIX_Tool_Processed.csv or similar, where the PREFIX indicates the data source (GT_, GB_, CR_, BU_, BS_). Consult the parent Dataverse description (Management Tool Comparative Indices) for general context and the methodological disclaimer. For original extraction details (specific keywords, URLs, etc.), refer to the corresponding SCM dataset in the Raw Extracts Dataverse. Comprehensive project documentation provides full details on all processing steps.

  8. T

    SUPPLY CHAIN PRESSURE INDEX by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 15, 2024
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    TRADING ECONOMICS (2024). SUPPLY CHAIN PRESSURE INDEX by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/supply-chain-pressure-index/1000?continent=africa
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jan 15, 2024
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for SUPPLY CHAIN PRESSURE INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. m

    Time Series Dataset for Risk Assessment in Supply Chain Networks

    • data.mendeley.com
    Updated Mar 29, 2019
    + more versions
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    Heerok Banerjee (2019). Time Series Dataset for Risk Assessment in Supply Chain Networks [Dataset]. http://doi.org/10.17632/gystn6d3r4.1
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    Dataset updated
    Mar 29, 2019
    Authors
    Heerok Banerjee
    License

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

    Description

    This dataset is generated via simulation of a probabilistic risk assessment model and a Linear Programming models to evaluate Risk Index and Total supply chain cost using MATLAB simulink. This dataset can be utilized for sequence-to-sequence forecasting and multi-labelled classification problems related to Supply Chain Risk Management (SCRM). This dataset can also be used for evaluating Non-linear Autoregressive models and Deep Neural Networks for supply chain networks. The dataset is published for academic purposes only, with limited usage after careful validation of norms and permissions as stated by the owner.

  10. United States Report On Business: PMI: Inventories: Lower

    • ceicdata.com
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    CEICdata.com, United States Report On Business: PMI: Inventories: Lower [Dataset]. https://www.ceicdata.com/en/united-states/institute-for-supply-management-purchasing-manager-index
    Explore at:
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Purchasing Manager Index
    Description

    Report On Business: PMI: Inventories: Lower data was reported at 17.500 % in Oct 2018. This records an increase from the previous number of 14.000 % for Sep 2018. Report On Business: PMI: Inventories: Lower data is updated monthly, averaging 22.450 % from Jan 1988 (Median) to Oct 2018, with 370 observations. The data reached an all-time high of 42.100 % in May 2009 and a record low of 10.300 % in Feb 2018. Report On Business: PMI: Inventories: Lower data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s USA – Table US.S001: Institute for Supply Management: Purchasing Manager Index.

  11. United States Report On Business: PMI: Imports: Net

    • ceicdata.com
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    CEICdata.com, United States Report On Business: PMI: Imports: Net [Dataset]. https://www.ceicdata.com/en/united-states/institute-for-supply-management-purchasing-manager-index
    Explore at:
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Purchasing Manager Index
    Description

    Report On Business: PMI: Imports: Net data was reported at 17.900 % in Jun 2018. This records an increase from the previous number of 8.200 % for May 2018. Report On Business: PMI: Imports: Net data is updated monthly, averaging 4.000 % from Oct 1989 (Median) to Jun 2018, with 345 observations. The data reached an all-time high of 25.000 % in Sep 2003 and a record low of -35.800 % in Mar 2009. Report On Business: PMI: Imports: Net data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s USA – Table US.S001: Institute for Supply Management: Purchasing Manager Index.

  12. F

    Value Added by Industry: Manufacturing (Chain-Type Quantity Index)

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
    + more versions
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    (2025). Value Added by Industry: Manufacturing (Chain-Type Quantity Index) [Dataset]. https://fred.stlouisfed.org/series/VAQIPMA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

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

    Description

    Graph and download economic data for Value Added by Industry: Manufacturing (Chain-Type Quantity Index) (VAQIPMA) from Q2 2005 to Q4 2024 about value added, quantity index, chained, private industries, private, manufacturing, industry, rate, and USA.

  13. H

    Supply Chain Management - Raw Source Data

    • dataverse.harvard.edu
    Updated May 6, 2025
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    Diomar Anez; Dimar Anez (2025). Supply Chain Management - Raw Source Data [Dataset]. http://doi.org/10.7910/DVN/CXU9HB
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 6, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Diomar Anez; Dimar Anez
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains raw, unprocessed data files pertaining to the management tool group 'Supply Chain Management' (SCM), including related concepts like Supply Chain Integration. The data originates from five distinct sources, each reflecting different facets of the tool's prominence and usage over time. Files preserve the original metrics and temporal granularity before any comparative normalization or harmonization. Data Sources & File Details: Google Trends File (Prefix: GT_): Metric: Relative Search Interest (RSI) Index (0-100 scale). Keywords Used: "supply chain management" + "supply chain logistics" + "supply chain" Time Period: January 2004 - January 2025 (Native Monthly Resolution). Scope: Global Web Search, broad categorization. Extraction Date: Data extracted January 2025. Notes: Index relative to peak interest within the period for these terms. Reflects public/professional search interest trends. Based on probabilistic sampling. Source URL: Google Trends Query Google Books Ngram Viewer File (Prefix: GB_): Metric: Annual Relative Frequency (% of total n-grams in the corpus). Keywords Used: Supply Chain Management + Supply Chain Integration + Supply Chain Time Period: 1950 - 2022 (Annual Resolution). Corpus: English. Parameters: Case Insensitive OFF, Smoothing 0. Extraction Date: Data extracted January 2025. Notes: Reflects term usage frequency in Google's digitized book corpus. Subject to corpus limitations (English bias, coverage). Source URL: Ngram Viewer Query Crossref.org File (Prefix: CR_): Metric: Absolute count of publications per month matching keywords. Keywords Used: ("supply chain management" OR "supply chain integration" OR "supply chain") AND ("management" OR "strategy" OR "planning" OR "logistics" OR "implementation" OR "optimization" OR "approach" OR "system" OR "practice") Time Period: 1950 - 2025 (Queried for monthly counts based on publication date metadata). Search Fields: Title, Abstract. Extraction Date: Data extracted January 2025. Notes: Reflects volume of relevant academic publications indexed by Crossref. Deduplicated using DOIs; records without DOIs omitted. Source URL: Crossref Search Query Bain & Co. Survey - Usability File (Prefix: BU_): Metric: Original Percentage (%) of executives reporting tool usage. Tool Names/Years Included: Supply Chain Integration (1999, 2000, 2002); Supply Chain Management (2004, 2006, 2008, 2010, 2012, 2014, 2017, 2022). Respondent Profile: CEOs, CFOs, COOs, other senior leaders; global, multi-sector. Source: Bain & Company Management Tools & Trends publications (Rigby D., Bilodeau B., Ronan C. et al., various years: 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 1999/475; 2000/214; 2002/708; 2004/960; 2006/1221; 2008/1430; 2010/1230; 2012/1208; 2014/1067; 2017/1268; 2022/1068. Bain & Co. Survey - Satisfaction File (Prefix: BS_): Metric: Original Average Satisfaction Score (Scale 0-5). Tool Names/Years Included: Supply Chain Integration (1999, 2000, 2002); Supply Chain Management (2004, 2006, 2008, 2010, 2012, 2014, 2017, 2022). Respondent Profile: CEOs, CFOs, COOs, other senior leaders; global, multi-sector. Source: Bain & Company Management Tools & Trends publications (Rigby D., Bilodeau B., Ronan C. et al., various years: 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 1999/475; 2000/214; 2002/708; 2004/960; 2006/1221; 2008/1430; 2010/1230; 2012/1208; 2014/1067; 2017/1268; 2022/1068. Reflects subjective executive perception of utility. File Naming Convention: Files generally follow the pattern: PREFIX_Tool.csv, where the PREFIX indicates the data source: GT_: Google Trends GB_: Google Books Ngram CR_: Crossref.org (Count Data for this Raw Dataset) BU_: Bain & Company Survey (Usability) BS_: Bain & Company Survey (Satisfaction) The essential identification comes from the PREFIX and the Tool Name segment. This dataset resides within the 'Management Tool Source Data (Raw Extracts)' Dataverse.

  14. e

    Adipic Acid Price Trends and Forecast Report 2025-2026

    • expertmarketresearch.com
    pdf,excel,csv,ppt
    Updated May 14, 2025
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    Claight Corporation (Expert Market Research) (2025). Adipic Acid Price Trends and Forecast Report 2025-2026 [Dataset]. https://www.expertmarketresearch.com/price-forecast/adipic-acid-price-forecast
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Claight Corporation (Expert Market Research)
    License

    https://www.expertmarketresearch.com/privacy-policyhttps://www.expertmarketresearch.com/privacy-policy

    Time period covered
    2025 - 2026
    Area covered
    Global
    Description

    Adipic acid price trends underwent significant changes throughout 2024 due to a mixture of global supply and demand discrepancies, local production shifts, and economic policies.

  15. Global Value Chain WDR 2020

    • wits.worldbank.org
    Updated Jun 8, 2021
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    World Bank (2021). Global Value Chain WDR 2020 [Dataset]. https://wits.worldbank.org/gvc/global-value-chains.html
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    Dataset updated
    Jun 8, 2021
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

    https://wits.worldbank.org/faqs.html#Databaseshttps://wits.worldbank.org/faqs.html#Databases

    Description

    Global Value Chains (GVC's) data from World Bank's WDR 2020 data

  16. United States Report On Business: PMI: New Export Orders: Net

    • ceicdata.com
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    CEICdata.com, United States Report On Business: PMI: New Export Orders: Net [Dataset]. https://www.ceicdata.com/en/united-states/institute-for-supply-management-purchasing-manager-index
    Explore at:
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Purchasing Manager Index
    Description

    Report On Business: PMI: New Export Orders: Net data was reported at 12.600 % in Jun 2018. This records an increase from the previous number of 11.200 % for May 2018. Report On Business: PMI: New Export Orders: Net data is updated monthly, averaging 9.000 % from Jan 1988 (Median) to Jun 2018, with 366 observations. The data reached an all-time high of 38.000 % in Mar 1988 and a record low of -30.500 % in Dec 2008. Report On Business: PMI: New Export Orders: Net data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s USA – Table US.S001: Institute for Supply Management: Purchasing Manager Index.

  17. F

    Real net value added: Net domestic product: Business (chain-type quantity...

    • fred.stlouisfed.org
    json
    Updated Oct 2, 2024
    + more versions
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    (2024). Real net value added: Net domestic product: Business (chain-type quantity index) [Dataset]. https://fred.stlouisfed.org/series/A363RA3A086NBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 2, 2024
    License

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

    Description

    Graph and download economic data for Real net value added: Net domestic product: Business (chain-type quantity index) (A363RA3A086NBEA) from 1929 to 2023 about value added, quantity index, chained, domestic, business, Net, real, GDP, and USA.

  18. m

    Data from: Do Supply Chain Pressures Affect Consumer Prices in Major...

    • data.mendeley.com
    Updated Sep 25, 2024
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    Zouhair Mrabet (2024). Do Supply Chain Pressures Affect Consumer Prices in Major Economies? New Evidence from Time-Varying Causality Analysis [Dataset]. http://doi.org/10.17632/z2g9k6yw6h.2
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    Dataset updated
    Sep 25, 2024
    Authors
    Zouhair Mrabet
    License

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

    Description

    the data is used to explore the dynamic causality between the Consumer Price Index (CPI) and the Supply Chain Pressure Index (SCPI) in the United States and the European Union from January 2000 to December 2021.

  19. e

    Ammonium Sulfate Price Trends and Forecast Report 2025 Edition

    • expertmarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 1, 2025
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    Claight Corporation (Expert Market Research) (2025). Ammonium Sulfate Price Trends and Forecast Report 2025 Edition [Dataset]. https://www.expertmarketresearch.com/price-forecast/ammonium-sulfate-price-forecast
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Claight Corporation (Expert Market Research)
    License

    https://www.expertmarketresearch.com/privacy-policyhttps://www.expertmarketresearch.com/privacy-policy

    Time period covered
    2025 - 2026
    Area covered
    Global
    Description

    Ammonium sulfate price trends exhibited varied regional trends during the final quarter of 2024 and into the early months of 2025, influenced by shifting demand dynamics and supply-side adjustments.

  20. w

    Logistics Performance Index

    • data360.worldbank.org
    Updated Apr 18, 2025
    + more versions
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    (2025). Logistics Performance Index [Dataset]. https://data360.worldbank.org/en/dataset/WB_LPI
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    Dataset updated
    Apr 18, 2025
    License

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

    Time period covered
    2007 - 2023
    Description

    The Logistics Performance Index (LPI), produced by the World Bank, evaluates trade logistics performance in 139 countries. It consists of two components: a survey of international logistics operators (freight forwarders and express carriers) assessing the logistics friendliness of partner countries, and high-frequency supply chain data on maritime shipping, container tracking, postal, and air freight activities, provided by data partners. The LPI provides a dual perspective by combining perception-based assessments with data-driven trade flow analysis.

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TRADING ECONOMICS (2022). Global Supply Chain Pressure Index [Dataset]. https://tradingeconomics.com/world/supply-chain-pressure-index

Global Supply Chain Pressure Index

Global Supply Chain Pressure Index - Historical Dataset (1997-09-30/2025-05-31)

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xml, excel, csv, jsonAvailable download formats
Dataset updated
May 19, 2022
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
Sep 30, 1997 - May 31, 2025
Area covered
World
Description

Supply Chain Pressure Index in World increased to 0.19 points in May from -0.28 points in April of 2025. This dataset includes a chart with historical data for Global Supply Chain Pressure Index.

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