26 datasets found
  1. Influence of the last economic recession on shopping behavior in Canada 2013...

    • statista.com
    Updated Nov 1, 2013
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    Statista (2013). Influence of the last economic recession on shopping behavior in Canada 2013 [Dataset]. https://www.statista.com/statistics/448023/influence-of-the-last-economic-recession-on-shopping-behavior-canada/
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    Dataset updated
    Nov 1, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 31, 2013 - Aug 5, 2013
    Area covered
    Canada
    Description

    This statistic shows the influence of the most recent economic recession (2008-2009) on consumer shopping behavior in Canada as of August 2013. During the survey, 44 percent of the respondents said that they shop around more to make sure they are paying the best price.

  2. M

    Canada - Recession Indicators (1960-2022)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Canada - Recession Indicators (1960-2022) [Dataset]. https://www.macrotrends.net/4458/canada-recession-indicators
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1960 - 2022
    Area covered
    United States
    Description

    This time series is an interpretation of Organisation of Economic Development (OECD) Composite Leading Indicators: Reference Turning Points and Component Series data, which can be found at http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm. The OECD identifies months of turning points without designating a date within the month that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the month. The arbitrary convention does not reflect any judgment on this issue by the OECD. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.

    The recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.

    The first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. The midpoint method is used for this series.

    The second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:

    https://fred.stlouisfed.org/series/CANRECD

    The third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:

    https://fred.stlouisfed.org/series/CANRECDP

    The OECD CLI system is based on the "growth cycle" approach, where business cycles and turning points are measured and identified in the deviation-from-trend series. The main reference series used in the OECD CLI system for the majority of countries is industrial production (IIP) covering all industry sectors excluding construction. This series is used because of its cyclical sensitivity and monthly availability, while the broad based Gross Domestic Product (GDP) is used to supplement the IIP series for identification of the final reference turning points in the growth cycle.

    Zones aggregates of the CLIs and the reference series are calculated as weighted averages of the corresponding zone member series (i.e. CLIs and IIPs).

    Up to December 2008 the turning points chronologies shown for regional/zone area aggregates or individual countries are determined by the rules established by the National Bureau of Economic Research (NBER) in the United States, which have been formalized and incorporated in a computer routine (Bry and Boschan) and included in the Phase-Average Trend (PAT) de-trending procedure. Starting from December 2008 the turning point detection algorithm is decoupled from the de-trending procedure, and is a simplified version of the original Bry and Boschan routine. (The routine parses local minima and maxima in the cycle series and applies censor rules to guarantee alternating peaks and troughs, as well as phase and cycle length constraints.)

    The components of the CLI are time series which exhibit leading relationship with the reference series (IIP) at turning points. Country CLIs are compiled by combining de-trended smoothed and normalized components. The component series for each country are selected based on various criteria such as economic significance; cyclical behavior; data quality; timeliness and availability.

    OECD data should be cited as follows: OECD Composite Leading Indicators, "Composite Leading Indicators: Reference Turning Points and Component Series", http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm (Accessed on date)

  3. T

    Canada GDP Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). Canada GDP Growth Rate [Dataset]. https://tradingeconomics.com/canada/gdp-growth
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 30, 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
    Jun 30, 1961 - Mar 31, 2025
    Area covered
    Canada
    Description

    The Gross Domestic Product (GDP) in Canada expanded 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Canada GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Gross domestic product (GDP) per capita in Canada 2029

    • statista.com
    Updated Nov 29, 2024
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    Statista (2024). Gross domestic product (GDP) per capita in Canada 2029 [Dataset]. https://www.statista.com/statistics/263592/gross-domestic-product-gdp-per-capita-in-canada/
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    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The statistic shows the gross domestic product (GDP) per capita in Canada from 1987 to 2023, with projections up until 2029. In 2023, the gross domestic product per capita in Canada was around 53,607.4 U.S. dollars. Canada's economy GDP per capita is a measurement often used to determine economic growth and potential increases in productivity and is calculated by taking the GDP and dividing it by the total population in the country. In 2014, Canada had one of the largest GDP per capita values in the world, a value that has grown continuously since 2010 after experiencing a slight downturn due to the financial crisis of 2008. Canada is seen as one of the premier countries in the world, particularly due to its strong economy and healthy international relations, most notably with the United States. Canada and the United States have political, social and economical similarities that further strengthen their relationship. The United States was and continues to be Canada’s primary and most important trade partner and vice versa. Canada’s economy is partly supported by its exports, most notably crude oil, which was the country’s largest export category. Canada was also one of the world’s leading oil exporters in 2013, exporting more than the United States. Additionally, Canada was also a major exporter of goods such as motor vehicles and mechanical appliances, which subsequently ranked the country as one of the world’s top export countries in 2013.

  5. Great Recession: general government debt as a percentage of GDP for the G7

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: general government debt as a percentage of GDP for the G7 [Dataset]. https://www.statista.com/statistics/1347205/great-recession-general-government-debt-g7/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    During the Great Recession of 2008-2009, the advanced economies of the G7 experienced a period of acute financial crises, downturns in the non-financial economy, and political instability. The governments of these countries in many cases stepped in to backstop their financial sectors and to try to stimulate their economies. The scale of these interventions was large by historical standards, with observers making comparisons to the measures of the New Deal which the U.S. undertook in the 1930s to end the Great Depression.

    The bailouts of financial institutions and stimulus packages caused the government debt ratios of the United States, United Kingdom, and Japan in particular to rise sharply. The UK's government debt ratio almost doubled due to the bailouts of Northern Rock and Royal Bank of Scotland. On the other hand, the increases in government debt in the Eurozone were more measured, due to the comparative absence of stimulus spending in these countries. They would later be hit hard during the Eurozone crisis of the 2010s, when bank lending to the periphery of the Eurozone (Portugal, Spain, Ireland and Greece in particular) would trigger a sovereign debt crisis. The Canadian government, led by a Conservative premier, engaged in some fiscal stimulus to support its economy, but these packages were small in comparison to that in most other of the G7 countries.

  6. d

    Canada's Pulse 2009

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    + more versions
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    Ipsos Canada (2023). Canada's Pulse 2009 [Dataset]. http://doi.org/10.5683/SP/IYYC4A
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos Canada
    Area covered
    Canada
    Description

    The Ipsos Canada’s Pulse series offer a sampling of public opinion at the municipal level in Canada’s largest urban centres. These surveys, commissioned on behalf of Global Television, query respondents on national as well as local issues and concerns. Respondents from each city within the survey are asked to answer questions particular to their municipality and province. The survey therefore reveals local and timely data on topics such as health care, commuting and traffic, elections, taxation, the economy, and culture. The 2009 Canada's Pulse poll is accompanied by a series of statistical tables and city-specific reports for further analysis. This survey has a sample of 4393 Respondents.

  7. F

    Real-time Sahm Rule Recession Indicator

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Real-time Sahm Rule Recession Indicator [Dataset]. https://fred.stlouisfed.org/series/SAHMREALTIME
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to May 2025 about recession indicators, academic data, and USA.

  8. Government bonds' spread between long, medium, and short maturity Canada...

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Government bonds' spread between long, medium, and short maturity Canada 2025 [Dataset]. https://www.statista.com/statistics/1534864/gov-bonds-spread-between-long-medium-and-short-maturity-canada/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2025
    Area covered
    Canada
    Description

    As of April 16, 2025, the Canadian bond market displayed a positive spread of 57.8 basis points between 10-year and 2-year yields, indicating long-term rates above short-term ones. The 2-year versus 1-year sprea also showed a positive spread of 19.1 basis points. Negative spreads indicate a (partially) inverted yield curve. This often signals investor pessimism about short-term economic prospects, as investors seek the relative safety of long-term bonds, pushing those yields down relative to shorter-term bonds. An inverted yield curve is typically interpreted as a potential indicator of economic slowdown or recession, as it reflects expectations of lower interest rates in the future to stimulate the economy.

  9. f

    Modelling Debt to GDP Ratios for Canada, Japan and The U.K.

    • figshare.com
    pdf
    Updated May 17, 2023
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    Anee G (2023). Modelling Debt to GDP Ratios for Canada, Japan and The U.K. [Dataset]. http://doi.org/10.6084/m9.figshare.22900337.v1
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    pdfAvailable download formats
    Dataset updated
    May 17, 2023
    Dataset provided by
    figshare
    Authors
    Anee G
    License

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

    Area covered
    Japan, United Kingdom, Canada
    Description

    With the global impact of the 2020 Novel Coronavirus (COVID-19), there has been a surge in public debt and uncertainty in the global economy. As the likelihood of a recession and a higher debt for Canada increases, the utility of a forecasting model is a realistic choice to both predict and determine optimal fiscal decisions for the government. This paper seeks to ratify existing historical trends in three developed economies (Canada, Japan, and the U.K.) as well as offer a time series forecast for the proceeding five years’ debt to GDP ratio. As per the International Monetary Fund (IMF), a limit of 60% in debt to GDP ratio was employed to measure how far off these three countries were from a considerably recoverable amount of debt. The time series forecast that the U.K. will drop to 65.436% by 2025, however, Japan and Canada will continue to accumulate debt to 254.3851% and 80.107% respectively.

  10. d

    2009 End of Year Poll

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos Canada (2023). 2009 End of Year Poll [Dataset]. http://doi.org/10.5683/SP/7ZYIUA
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos Canada
    Description

    The 2009 Ipsos Canada End of Year Poll queries Canadians on issues and events that affected their lives in 2009, as well as their feelings on the next year. Respondents are asked for their opinions on Canadian politics, the nation's military presence in Afghanistan, their economic well-being and job status, as well as their feelings on the biggest news story and newsmaker of 2009. 1038 respondents from across the nation contributed to the 2009 End of Year Poll.

  11. d

    Replication Data and Code for: Community Attachment, Job Loss and Regional...

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Messacar, Derek (2023). Replication Data and Code for: Community Attachment, Job Loss and Regional Labour Mobility in Canada: Evidence from the Great Recession [Dataset]. http://doi.org/10.5683/SP3/7CGML4
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Messacar, Derek
    Area covered
    Canada
    Description

    The data and programs replicate tables and figures from “Community Attachment, Job Loss and Regional Labour Mobility in Canada: Evidence from the Great Recession", by Messacar. Please see the ReadMe file for additional details.

  12. Trade balance of goods in Canada 2023

    • statista.com
    Updated Feb 21, 2025
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    Statista (2025). Trade balance of goods in Canada 2023 [Dataset]. https://www.statista.com/statistics/262851/trade-balance-of-goods-in-canada/
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The statistic shows the trade balance of goods (exports minus imports of goods) in Canada from 2013 to 2023. A positive value means a trade surplus, a negative trade balance means a trade deficit. In 2023, the trade deficit of goods in Canada amounted to about 1.55 billion U.S. dollars. Trade with Canada Canada reported a trade surplus until 2009 when the country’s trade balance went negative for the first time in recent history. Its deficit was ignited at the height of the global recession, and the value of exports decreased significantly at that time. It is only now showing signs of a recovery. Meanwhile, while imports decreased during the recession as well, they bounced back faster than exports. Currently, Canada maintains neither a trade deficit nor a trade surplus as both imports and exports amount to around 475 billion U.S. dollars worth of goods. Canada is hoping this will continue and it is looking to lower tariffs on exports in order to further boost the economy and increase exports. Canada has long and strong trading relationship with the United States - Canada’s southern neighbor is without a doubt its most important export and import partner. Overall Canada maintains an export advantage over the United States; maintaining greater export flows than import flows. The U.S. dollar is also worth more than the Canadian dollar, favoring further exports from Canada. China and Mexico also import Canadian goods, but significantly less than the United States.

  13. Modular Data Centers Market Analysis North America, Europe, APAC, South...

    • technavio.com
    Updated Aug 15, 2024
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    Technavio (2024). Modular Data Centers Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, UK, China, Germany, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/modular-data-centers-market-analysis
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    Dataset updated
    Aug 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Modular Data Centers Market Size 2024-2028

    The global modular data centers market size is forecast to increase by USD 42.56 billion, at a CAGR of 19.8% between 2023 and 2028. The need to streamline traditional data centers is a major factor fueling market growth. Today, companies running single conventional data centers grapple with complex management and soaring capital costs due to sophisticated power and cooling systems. With the current economic recession, businesses are increasingly seeking cost-effective and scalable solutions. Modular data centers, with their standardized, portable designs, provide an ideal alternative that can be quickly deployed. Mobile network operators and colocation providers are among the leading users of these solutions. These modular setups are more environmentally friendly, thanks to their energy-efficient HVAC systems and IT equipment. As big data, AI, cloud computing, 5G, and IoT applications require higher operating temperatures, the flexibility and scalability of modular designs become even more crucial.

    What will be the Size of the Market During the Forecast Period?

    To learn more about this report, Download Report Sample

    Market Segmentation

    By End-user

    IT and Telecom is the Leading Segment to Dominate the Market

    The IT and telecom segment is estimated to witness significant growth during the forecast period. In the global market, Modular Data Centers hold a significant share, particularly in the IT and telecom sector. These centers are essential for providing the required computing power and storage for various applications and services in the industry. With the rise of cloud computing, the demand for data centers has escalated, as businesses seek to access resources without substantial capital expenditure. The IT and telecom segment was the largest and was valued at USD 4.02 billion in 2018. The influx of data from businesses and individuals necessitates data centers capable of handling vast amounts of information. Recession or not, Modular Data Centers offer scalability and rapid deployment, making them attractive to mobile network providers and data center colocation providers. Green data centers, with their standard design and cooling systems, are increasingly popular due to their energy efficiency. Big data, AI, cloud computing, 5G infrastructure, Internet of things, and cloud-based solutions are driving the market's growth.

    For more details on other segments, Download Sample Report

    North America Holds a Prominent Position in the Market

    North America is estimated to contribute 30% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The Edge computing trend is driving the growth of the market in the US and Canada, particularly in the BFSI industry. Large enterprises are shifting towards energy-efficient data centers to minimize costs and CAPEX, opting for cloud solutions from hyperscale providers like AWS, Microsoft, and Oracle. As of 2021, the US hosts over 2,670 data centers, making it the global leader. Quicksilver Capital and the World Economic Forum highlight the importance of digital transformation in this context. These offer Scalable data centers for large enterprises, enabling them to meet their computing capacity requirements efficiently.

    To understand geographic trends Download Report Sample

    Market Dynamics and Customer Landscape

    They have emerged as a popular solution for businesses seeking scalability and rapid deployment during times of economic uncertainty, such as a recession. These data centers utilize a modular design, allowing for easy expansion and contraction based on demand. Green data centers, which prioritize energy efficiency, are a key focus in the modular data center market. Mobile network providers and large enterprises are major consumers, as they require cloud-based networking and 5G infrastructure to support digital transformation initiatives. The solutions sub-segment and services segment of the modular data center market are expected to grow significantly, as businesses increasingly turn to cloud-based solutions for their data storage and processing needs. The World Economic Forum has the importance of energy-efficient data centers in reducing carbon emissions and mitigating the environmental impact of digitalization. Quicksilver Capital and other investors have shown interest in the modular data center market, recognizing its potential for innovation and growth. Overall, the modular data center market is poised for expansion, driven by the need for scalable, energy-efficient, and quickly deployable solutions.

    Key Market Driver

    Requirement to reduce complexity of traditional data centers is notably driving market growth. In today's business landscape, enterprises operating a single traditional data center face

  14. d

    Data for: Climate change alone cannot explain boreal caribou range recession...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Mar 18, 2024
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    Chloé Morineau; Yan Boulanger; Philippe Gachon; Sabrina Plante; Martin-Hugues St-Laurent (2024). Data for: Climate change alone cannot explain boreal caribou range recession in Quebec since 1850 [Dataset]. http://doi.org/10.5061/dryad.76hdr7t2d
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    Dataset updated
    Mar 18, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Chloé Morineau; Yan Boulanger; Philippe Gachon; Sabrina Plante; Martin-Hugues St-Laurent
    Time period covered
    Sep 13, 2023
    Area covered
    Quebec
    Description

    The contraction of species range is one of the most significant symptoms of biodiversity loss worldwide. While anthropogenic activities and habitat alteration are major threats for several species, climate change has not been overlooked either. For species at risk, differentiating the effects of human disturbances and climate change on past and current range transformations is an important step towards improved conservation strategies. We paired historical range maps with global atmospheric reanalyses from different sources (ERA5, CERA-20C, 20CRv3) to assess the potential effects of recent climate change on the observed northward contraction of the distribution range of boreal populations of woodland caribou (Rangifer tarandus caribou) in Quebec (Canada) since 1850. We quantified these effects by highlighting the discrepancies between different southern limits of the caribou’s range (used as references) observed in the past and reconstitutions obtained through the hindcasting of the cli..., Adult caribou females were captured and fitted with GPS-collars. We examined archives and other sources to find reliable information on past boreal caribou distributions. We extracted the climate data used in this study from three datasets, i.e. ERA5, CERA-20C and 20CRv3. We modelled the realized climate niche of boreal caribou by linking current climate conditions and occurrences of caribou and then hindcasted past boreal caribou distributions using the identified climatic niche. Different algorithms were used to do so: Generalized Linear Models (GLM), Generalized Additive Models (GAM), Random Forests (RF) and Boosted Regression Trees (BRT). , , # Data for: Climate change alone cannot explain boreal caribou range recession in Quebec since 1850

    https://doi.org/10.5061/dryad.76hdr7t2d

    Boreal caribou GPS Telemetry Data:

    • The GPS telemetry data cannot be shared with the reviewers, editors and readers of this manuscript, as a request of the Government of Quebec.
    • Potential users interested in accessing these datasets have to contact the Direction générale de la gestion de la faune et des habitats of the
    • Ministère de l'Environnement, de la Lutte contre les Changements Climatiques, de la Faune et des Parcs du Québec and submit their data access request.
    • They can be contacted at: services.clientele@mffp.gouv.qc.ca.

    Southern limits of the boreal caribou ranges between 1850 and 2010: - These shapefiles were uploaded on Dryad in a .zip file named "Morineau et al_Southern limits caribou distribution ranges.zip". This .zip file contained the 4 southern limits for 1850 ("limite_su...

  15. d

    Canadian Gallup Poll, June 1993, #654t

    • search.dataone.org
    • borealisdata.ca
    • +1more
    Updated Mar 28, 2024
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    Gallup Canada (2024). Canadian Gallup Poll, June 1993, #654t [Dataset]. http://doi.org/10.5683/SP2/Z4DZEJ
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    Dataset updated
    Mar 28, 2024
    Dataset provided by
    Borealis
    Authors
    Gallup Canada
    Area covered
    Canada
    Description

    This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions on the upcoming election, prospects for the successor of Brian Mulroney as Progressive Conservative Party leader, and questions related to political party preference. There are also questions on other topics of interest such as opinion on the amount of doctors in Canada, the economic recession, and new immigrants. The respondents were also asked questions so that they could be grouped according to geographic, political and social variables. Topics of interest include: election; economy; immigration; doctors in Canada; and political party preference. Basic demographic variables are also included.

  16. a

    Assessing the socio-economic impacts of Canada's 2030 Emissions Reduction...

    • open.alberta.ca
    Updated Mar 24, 2025
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    (2025). Assessing the socio-economic impacts of Canada's 2030 Emissions Reduction Plan : final report [Dataset]. https://open.alberta.ca/dataset/assessing-the-socio-economic-impacts-of-canada-s-2030-emissions-reduction-plan-final-report
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    Dataset updated
    Mar 24, 2025
    Area covered
    Canada
    Description

    This Conference Board of Canada report finds that the federal government is not on track to reach net-zero greenhouse gas emissions under its 2030 Emissions Reduction Plan and that any emissions reductions achieved are expected to come with significant economic costs including lower employment, higher consumer prices, a lower GDP, and lower Canadian oil and gas production. Given the importance of the oil and gas sector to Alberta’s economy, the Conference Board of Canada anticipates Alberta will be disproportionately impacted by the policies in the federal plan. Alberta would experience a deep recession in 2030 and would subsequently experience slower economic growth. Jobs would be lost, incomes would decrease and government revenues would decline.

  17. d

    Canadian Gallup Poll, November 1987, #527_1

    • search.dataone.org
    • borealisdata.ca
    Updated Mar 28, 2024
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    Gallup Canada (2024). Canadian Gallup Poll, November 1987, #527_1 [Dataset]. http://doi.org/10.5683/SP2/QVG1RI
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    Dataset updated
    Mar 28, 2024
    Dataset provided by
    Borealis
    Authors
    Gallup Canada
    Description

    This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions on Canada's economic situation, automobile driver testing, Canada U.S. relations and what 1988 will be like. There are also questions on other topics of interest such as the situation in the Persian Gulf, respondents' automobile use and Christmas shopping habits. The respondents were also asked questions so that they could be grouped according to geographic, political and social variables. Topics of interest include: approving or disapproving free trade; being discriminated against; being informed about free trade; the chances of a recession in the future; the chances of a world war in the next 10 years; driving within the speed limits; future of the economy; having a license to drive a car; investing $5,000; the knowledge of troubles in the Persian Gulf; predictions for 1988; requiring drivers to get regular medicals; the seriousness of the recession; starting Christmas shopping; and the United State's handling of the Persian Gulf. Basic demographic variables are also included.

  18. B

    Canadian Gallup Poll, June 1982, #462_1

    • borealisdata.ca
    • search.dataone.org
    Updated Jun 23, 2023
    + more versions
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    Gallup Canada (2023). Canadian Gallup Poll, June 1982, #462_1 [Dataset]. http://doi.org/10.5683/SP2/PBRR7I
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    Borealis
    Authors
    Gallup Canada
    License

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

    Area covered
    Canada
    Description

    This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as energy shortages, inflation and swimming ability. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the approval of Broadbent as NDP leader; the approval of Clark as leader of the Conservative party; the approval of Trudeau as Prime Minister; chances of an energy shortage; chances of finding a new job if fired; the energy crisis in Canada; the government's handling of the economy; learning how to swim; the most important problem facing Canada; preferred political leader; the amount recession in the future; reducing unemployment; rising prices and income; success of controlling inflation; swimming ability; taking a job of less pay or lower status; trying to curb inflation; and using a small boat. Basic demographic variables are also included.

  19. Gross domestic product growth rates of G7 countries 2000-2024

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Gross domestic product growth rates of G7 countries 2000-2024 [Dataset]. https://www.statista.com/statistics/1370599/g7-country-gdp-growth/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The gross domestic product (GDP) of all G7 countries decreased sharply in 2009 and 2020 due to the financial crisis and COVID-19 pandemic, respectively. The growth decline was heavier after the COVID-19 pandemic than the financial crisis. Moreover, Italy had a negative GDP growth rate in 2012 and 2013 following the euro crisis. In 2023, Germany experienced an economic recession.

  20. COVID-19 ability to handle unexpected expenses, by job situation Canada...

    • statista.com
    Updated Feb 4, 2022
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    Statista (2022). COVID-19 ability to handle unexpected expenses, by job situation Canada April 2020 [Dataset]. https://www.statista.com/statistics/1109736/covid-19-unexpected-expenses-employment-canada/
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    Dataset updated
    Feb 4, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2020 - Apr 3, 2020
    Area covered
    Canada
    Description

    As of April 2020, 65 percent of Canadians who had lost their job during the COVID-19 pandemic told Angus Reid that they could not manage any unexpected expenses, whereas only ten percent of those not anticipating job loss said the same. The coronavirus pandemic has resulted in supply chain disruptions, job losses, stock market dips, and increased the risk of recession worldwide.

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Statista (2013). Influence of the last economic recession on shopping behavior in Canada 2013 [Dataset]. https://www.statista.com/statistics/448023/influence-of-the-last-economic-recession-on-shopping-behavior-canada/
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Influence of the last economic recession on shopping behavior in Canada 2013

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Dataset updated
Nov 1, 2013
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 31, 2013 - Aug 5, 2013
Area covered
Canada
Description

This statistic shows the influence of the most recent economic recession (2008-2009) on consumer shopping behavior in Canada as of August 2013. During the survey, 44 percent of the respondents said that they shop around more to make sure they are paying the best price.

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