The 2006 Census estimated 5.1 million individuals who belonged to a visible minority. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour’. The visible minority population has grown steadily over the last 25 years. In 1981, when data for the four Employment Equity designated groups were first derived, the estimated 1.1 million visible minorities represented 4.7% of Canada's total population. In 1991, 2.5 million people were members of the visible minority population, 9.4% of the total population. The visible minority population further increased to 3.2 million in 1996, or 11.2% of the total population. By 2001, their numbers had reached an estimated 3.9 million or 13.4% of the total population. In 2006, the visible minorities accounted for 16.2% of Canada’s total population. This map shows the percentage of visible minorities (chinese population) by census subdivisions.

Time series data for the statistic Exports_China_to_Canada. Indicator Definition:Goods, Value of Exports, Free on board (FOB), US DollarsThe indicator "Goods, Value of Exports, Free on board (FOB), US Dollars" stands at 4.72 Billion as of 05/31/2025, the highest value since 09/30/2022. Regarding the One-Year-Change of the series, the current value constitutes an increase of 20.34 percent compared to the value the year prior.The 1 year change in percent is 20.34.The 3 year change in percent is -3.00.The 5 year change in percent is 42.80.The 10 year change in percent is 94.46.The Serie's long term average value is 1.60 Billion. It's latest available value, on 05/31/2025, is 194.91 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 03/31/1990, to it's latest available value, on 05/31/2025, is +18,779.96%.The Serie's change in percent from it's maximum value, on 09/30/2021, to it's latest available value, on 05/31/2025, is -15.63%.

The 2006 Census estimated 5.1 million individuals who belonged to a visible minority. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour’. The visible minority population has grown steadily over the last 25 years. In 1981, when data for the four Employment Equity designated groups were first derived, the estimated 1.1 million visible minorities represented 4.7% of Canada's total population. In 1991, 2.5 million people were members of the visible minority population, 9.4% of the total population. The visible minority population further increased to 3.2 million in 1996, or 11.2% of the total population. By 2001, their numbers had reached an estimated 3.9 million or 13.4% of the total population. In 2006, the visible minorities accounted for 16.2% of Canada’s total population. This map shows the percentage of visible minorities (chinese population) by census divisions.

Canada Imports from China was US$62.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Imports from China - data, historical chart and statistics - was last updated on December of 2025.

Canada Exports to China was US$21.11 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Exports to China - data, historical chart and statistics - was last updated on December of 2025.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

This table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of origin (15 items: United States; United Kingdom; France; China; ...) Traveller characteristics (3 items: Trips; Nights; Spending in Canada).

TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

Snapshot img

Graph Database Market Size 2025-2029

The graph database market size is valued to increase by USD 11.24 billion, at a CAGR of 29% from 2024 to 2029. Open knowledge network gaining popularity will drive the graph database market.

Market Insights

North America dominated the market and accounted for a 46% growth during the 2025-2029.
By End-user - Large enterprises segment was valued at USD 1.51 billion in 2023
By Type - RDF segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 670.01 million 
Market Future Opportunities 2024: USD 11235.10 million
CAGR from 2024 to 2029 : 29%

Market Summary

The market is experiencing significant growth due to the increasing demand for low-latency query capabilities and the ability to handle complex, interconnected data. Graph databases are deployed in both on-premises data centers and cloud regions, providing flexibility for businesses with varying IT infrastructures. One real-world business scenario where graph databases excel is in supply chain optimization. In this context, graph databases can help identify the shortest path between suppliers and consumers, taking into account various factors such as inventory levels, transportation routes, and demand patterns. This can lead to increased operational efficiency and reduced costs.
However, the market faces challenges such as the lack of standardization and programming flexibility. Graph databases, while powerful, require specialized skills to implement and manage effectively. Additionally, the market is still evolving, with new players and technologies emerging regularly. Despite these challenges, the potential benefits of graph databases make them an attractive option for businesses seeking to gain a competitive edge through improved data management and analysis.

What will be the size of the Graph Database Market during the forecast period?

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The market is an evolving landscape, with businesses increasingly recognizing the value of graph technology for managing complex and interconnected data. According to recent research, the adoption of graph databases is projected to grow by over 20% annually, surpassing traditional relational databases in certain use cases. This trend is particularly significant for industries requiring advanced data analysis, such as finance, healthcare, and telecommunications. Compliance is a key decision area where graph databases offer a competitive edge. By modeling data as nodes and relationships, organizations can easily trace and analyze interconnected data, ensuring regulatory requirements are met. Moreover, graph databases enable real-time insights, which is crucial for budgeting and product strategy in today's fast-paced business environment.
Graph databases also provide superior performance compared to traditional databases, especially in handling complex queries involving relationships and connections. This translates to significant time and cost savings, making it an attractive option for businesses seeking to optimize their data management infrastructure. In conclusion, the market is experiencing robust growth, driven by its ability to handle complex data relationships and offer real-time insights. This trend is particularly relevant for industries dealing with regulatory compliance and seeking to optimize their data management infrastructure.

Unpacking the Graph Database Market Landscape

In today's data-driven business landscape, the adoption of graph databases has surged due to their unique capabilities in handling complex network data modeling. Compared to traditional relational databases, graph databases offer a significant improvement in query performance for intricate relationship queries, with some reports suggesting up to a 500% increase in query response time. Furthermore, graph databases enable efficient data lineage tracking, ensuring regulatory compliance and enhancing data version control. Graph databases, such as property graph models and RDF databases, facilitate node relationship management and real-time graph processing, making them indispensable for industries like finance, healthcare, and social media. With the rise of distributed and knowledge graph databases, organizations can achieve scalability and performance improvements, handling massive datasets with ease. Security, indexing, and deployment are essential aspects of graph databases, ensuring data integrity and availability. Query performance tuning and graph analytics libraries further enhance the value of graph databases in data integration and business intelligence applications. Ultimately, graph databases offer a powerful alternative to NoSQL databases, providing a more flexible and efficient approach to managing complex data relationships.

Key Market Drivers Fueling Growth

The growing popularity o

Snapshot img

Enterprise Data Management (EDM) Market Size 2024-2028

The enterprise data management (EDM) market size is valued to increase USD 126.2 billion, at a CAGR of 16.83% from 2023 to 2028. Growing demand for data integration and visual analytics will drive the enterprise data management (edm) market.

Major Market Trends & Insights

North America dominated the market and accounted for a 38% growth during the forecast period.
By End-user - BFSI segment was valued at USD 0.00 billion in 2021
By Deployment - On-premises segment accounted for the largest market revenue share in 2021

Market Size & Forecast

Market Opportunities: USD 267.14 billion
Market Future Opportunities: USD 126.20 billion
CAGR : 16.83%
North America: Largest market in 2021

Market Summary

The market encompasses a dynamic and continuously evolving landscape of core technologies and applications. Key technologies include data integration and visual analytics, which are experiencing growing demand due to the increasing complexity of data sources and the need for actionable insights. Technological developments, such as cloud-based solutions and advanced analytics tools, are driving innovation and improving data management efficiency. However, integration challenges persist, particularly with unscalable applications and disparate data silos. According to recent estimates, the data integration market is projected to reach a 25% share in the overall EDM market by 2025, underscoring its significance in the industry's ongoing evolution.
Despite these challenges, the market presents numerous opportunities for growth, including the increasing adoption of real-time analytics, regulatory compliance, and the expanding use of AI and machine learning in data management.

What will be the Size of the Enterprise Data Management (Edm) Market during the forecast period?

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How is the Enterprise Data Management (EDM) Market Segmented and what are the key trends of market segmentation?

The enterprise data management (EDM) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2017-2022 for the following segments.

End-user

  BFSI
  Healthcare
  Manufacturing
  Retail
  Others


Deployment

  On-premises
  Cloud-based


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China


  Rest of World (ROW)

By End-user Insights

The BFSI segment is estimated to witness significant growth during the forecast period.

The market growth is driven by the increasing need for businesses to manage and make sense of vast amounts of data. According to recent reports, the EDM market currently stands at a significant market share, with approximately 35% of businesses implementing EDM solutions. Looking ahead, industry projections indicate that this figure will expand to around 45% within the next five years. Key trends shaping the EDM market include data lineage tracking, data security protocols, data versioning systems, and data governance frameworks. These solutions enable organizations to optimize their ETL processes, manage data deduplication strategies, and ensure data compliance with various standards.

Additionally, cloud data management, semantic data modeling, and real-time data processing are gaining traction as businesses seek to enhance their data management capabilities. Data warehousing solutions, data integration tools, and metadata management systems are essential components of EDM, allowing organizations to streamline their data lifecycle management and improve data access controls. Data security protocols, data encryption methods, and data loss prevention solutions are also critical to safeguarding sensitive information. Master data management, data model design, and data architecture design play a crucial role in maintaining data quality and ensuring data consistency across an organization. Data stewardship roles, data cataloging processes, and data profiling techniques further enhance data management efforts by providing insights into data usage and quality.

Data migration strategies, data lifecycle management, and data observability tools are essential for managing the ongoing evolution of data within an organization. As businesses continue to generate and collect more data, the need for efficient and effective data management solutions will only grow. In the financial services sector, the EDM market has seen substantial growth due to the increasing digitization of core processes and the adoption of customer-centric approaches. Financial institutions are leveraging EDM solutions to manage data from various systems and processes, such as loan processing, claims management, customer data management, and finan