https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The Broader Public Sector (BPS) plays an important role in helping Ontario meet its conservation targets and reduce greenhouse gas emissions. Under O. Reg. 25/23 (Broader Public Sector: Energy Reporting and Conservation and Demand Management Plans), made under the Electricity Act, 1998, BPS organizations are required to:
This data includes the annual amount of energy used and GHG emitted by BPS organizations.
BPS organizations that are required to report include municipalities, municipal service boards, school boards, universities, colleges and hospitals. Several BPS organizations also voluntarily reported on facilities that are not required by regulation.
Posted data files contain the following information:
Missing or incorrect data is the sole responsibility of the BPS organization. The ministry has attempted to remove duplicate data from this data set to improve data integrity.
The Ministry of Energy and Electrification developed "https://www.ontario.ca/laws/regulation/r23025">O. Reg. 25/23 to help BPS organisations better understand how and where they use energy and demonstrate government leadership by developing conservation plans to guide energy savings.
*The Ministry of Energy and Electrification is aware that COVID-19 may have restricted some BPS organizations’ ability to submit their annual energy reports using the 2018 and 2019 data.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
Historical Oil Fields are subsurface accumulations or 'pools' of crude oil designated as such for the purposes of the Oil, Gas and Salt Resources Act.
This product requires the use of GIS software.
*[GIS]: geographic information system
Welcome to the North America Data: Your Gateway to Strategic Connections Across the Americas
In today’s fast-evolving business landscape, having the right data at your fingertips is crucial for success. North America Data offers an unmatched resource designed to empower businesses by providing access to key decision-makers across the vast and diverse markets of North and South America. Our meticulously curated database serves as the cornerstone of your strategic outreach efforts, enabling you to connect with the right people in the right places at the right time.
What Makes Our Data Unique?
Depth and Precision
Our database is more than just a collection of names and contact details—it’s a gateway to deep, actionable insights about the people who shape industries. We go beyond basic data points to offer a nuanced understanding of top executives, owners, founders, and influencers. Whether you're looking to connect with a CEO of a Fortune 500 company or a founder of a dynamic startup, our data provides the precision you need to identify and engage the most relevant decision-makers.
Our Data Sourcing Excellence
Reliability and Integrity
Our data is sourced from a variety of authoritative channels, ensuring that every entry is both reliable and relevant. We draw from respected business directories, publicly available records, and proprietary research methodologies. Each piece of data undergoes a rigorous vetting process, meticulously checked for accuracy, to ensure that you can trust the integrity of the information you receive.
Primary Use-Cases and Industry Verticals
Versatility Across Sectors
The North America Data is a versatile tool designed to meet the needs of a wide range of industries. Whether you're in finance, manufacturing, technology, healthcare, retail, hospitality, energy, transportation, or any other sector, our database provides the critical insights necessary to drive your business forward. Use our data to:
Conduct Market Research: Gain a deeper understanding of industry trends and dynamics.
Seamless Integration with Broader Data Solutions
Comprehensive Business Intelligence
Our North America Data is not an isolated resource; it’s a vital component of our comprehensive business intelligence suite. When combined with our global datasets, it provides a holistic view of the global business landscape. This integrated approach enables businesses to make well-informed decisions, tapping into insights that span across continents and sectors.
Geographical Coverage Across the Americas
Pan-American Reach
Our database covers the entirety of North and South America, offering a robust range of contacts across numerous countries, including but not limited to:
And many more
Extensive Industry Coverage
Tailored to Your Sector
We cater to a vast array of industries, ensuring that no matter your focus, our database has the coverage you need. Key industries include:
Transportation: Engage with decision-makers in logistics, shipping, and infrastructure.
Comprehensive Employee Size and Revenue Data
Insights Across Business Sizes
Our database doesn’t just provide contact information—it also includes detailed data on employee size and revenue. Whether you’re targeting small startups, mid-sized enterprises, or large multinational corporations, our database has the depth to accommodate your needs. We offer insights into:
Revenue Size: Covering companies ranging from early-stage startups to global giants in the Fortune 500.
Empower Your Business with Unmatched Data Access
Unlock Opportunities Across the Americas
With the North America Data, you gain access to a powerful resource designed to unlock endless opportunities for growth and success. Whether you’re looking to break into new markets, establish strong business relationships, or enhance your market intelligence, our database equips you with the tools you need to excel.
Explore the North America Data tod...
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The data sets show historical greenhouse gas emissions and emission changes for selected years, in megatonnes of CO2 equivalent. Historical estimates are based on Environment Canada and Climate Change's National Inventory Reports (NIR) and are displayed by sector: Transportation, Industry, Buildings, Electricity, Agriculture and Waste.
Available data include:
1990, 2007, and 2013 emissions (based on the 2015 NIR)
[NIR]: National Inventory Reports
[CO2]: Carbon dioxide
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 8 series, with data for years 2007 - 2016 (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); Industry (8 items: Total, all industries; Electric power generation, transmission and distribution; Electric power engineering construction; Electrical equipment manufacturing; ...).
Research hypotheses: Trade-sensitive and carbon intensive sectors and workers are more likely to reject carbon taxation than those who are sheltered and cleaner. Individual level dataset: Data from the 2019 and 2021 Canadian Election Study (CES). Assess the relationship between respondents' employment profile and their views on carbon taxation and environmental policy more broadly. Respondents are geocoded at the provincial level and are asked to specify in writing their occupation. Manually coded respondents' 2-digit NAICS occupation classification and matched them with the trade and emission-intensity data. Employ modified specification to account for job-specific trade-sensitivity (1) and carbon-intensity (2). Data on sector-specific GHG emissions and exposure to trade are provided by Statistics Canada. Ecological data: To account for job and constituency-specific carbon emissions, I leverage Canada's GHG inventory compiled by Statistics Canada. The inventory breaks down yearly emissions by NAICS industrial sectors at the provincial level. Using Statistics Canada's employment data, I first divide our emission data by industrial and provincial employment profiles in order to account for each jobs's carbon intensity at the provincial level. I then match these data with constituency-specific employment profiles to account for overall emissions at the riding-level. Insofar as employment data at the constituency-level are drawn from the national quinquennial census of 2011, 2016 and 2021, I perform linear extrapolations in order to balance the dataset, thus covering the full 2015-2021 period. Another factor behind "carbon layoffs'' is exposure to trade. I first leverage Statistics Canada's trade flows data. Trade flows are provided both at the industry-level on a province by province basis, whereas employment profile is broken down at the constituency-level. Following Yamazaki (2017), I build a constituency-specific trade-sensitivity index. Data on constituency-level sociodemographic characteristics --unemployment, minority share, BA share, car commuters' share, household income and population density-- all come from the Canadian Census. Linear extrapolations are performed in order to balance the dataset. I leverage Election Canada's constituency-level data to account for the vote share captured by anti-carbon tax parties (the Conservative Party and the People's) between 2015 and 2021. Regional gas prices stem from both Kalibrate and Statistics Canada. The yearly share of non-carbon energy sources (hydro, renewable, nuclear) in the provincial electricity mix is provided by Statistics Canada. Finally, constituency-level belief in the existence of anthropogenic climate change comes from the 2016 and 2018 Canadian Climate Opinion Maps, from the Yale program on Climate Change and Communication.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 8 series, with data for years 2007 - 2016 (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); Industry (8 items: Total, all industries; Electric power generation, transmission and distribution; Electric power engineering construction; Electrical equipment manufacturing; ...).
(StatCan Product) Customization details: This information product has been customized to present information on commodity sector estimates for Alberta and Canada for 2008 (Revised) and 2009 (Preliminary). Other variables include: NAICS Code Commodity Code NAICS and Commodity Description Number of Establishments Total Revenue Revenue from Goods Manufactured (Financial Data) Revenue from Goods Manufactured (Commodity Data) Total Expenses Total Salaries and Wages (Direct and Indirect Labour), Production Workers Wages (Direct Labour) Non-manufacturing Employees Salaries (Indirect Labour) Total Cost of Energy, Water Utility and Vehicle Fuel Cost of Energy and Water Utility Cost of Vehicle Fuel Cost of Materials and Supplies Total Number of Employees (Direct and Indirect Labour) Number of Production Workers (Direct Labour) Number of Manufacturing Employees (Indirect Labour) Total Opening Inventories Opening Inventories - Goods or Work in Progress Opening Inventories - Finished Goods Manufactured Total Closing Inventories Closing Inventories - Goods/Work in Progress Closing Inventories - Finished Goods Manufactured Manufacturing Value Added For more information about the industries and commodity codes presented contactOSI.Support@gov.ab.ca Annual Survey of Manufactures and Logging The Annual Survey of Manufactures and Logging (ASML) is a survey of the manufacturing and logging industries in Canada. It is intended to cover all establishments primarily engaged in manufacturing and logging activities, as well as the sales offices and warehouses which support these establishments. The details collected include principal industrial statistics (such as revenue, employment, salaries and wages, cost of materials and supplies used, cost of energy and water utility, inventories, etc.), as well as information about the commodities produced and consumed. Data collected by the Annual Survey of Manufactures and Logging are important because they help measure the production of Canada's industrial and primary resource sectors, as well as provide an indication of the well-being of each industry covered by the survey and its contribution to the Canadian economy. Within Statistics Canada, the data are used by the Canadian System of National Accounts, the Monthly Survey of Manufacturing (record number 2101) and Prices programs. The data are also used by the business community, trade associations, federal and provincial departments, as well as international organizations and associations to profile the manufacturing and logging industries, undertake market studies, forecast demand and develop trade and tariff policies. Product Main Page
(StatCan Product) Customization details: This information product has been customized to present information on commodity sector estimates for Alberta and Canada for 2008 (Revised) and 2009 (Preliminary). Other variables include: NAICS Code Commodity Code NAICS and Commodity Description Number of Establishments Total Revenue Revenue from Goods Manufactured (Financial Data) Revenue from Goods Manufactured (Commodity Data) Total Expenses Total Salaries and Wages (Direct and Indirect Labour), Production Workers Wages (Direct Labour) Non-manufacturing Employees Salaries (Indirect Labour) Total Cost of Energy, Water Utility and Vehicle Fuel Cost of Energy and Water Utility Cost of Vehicle Fuel Cost of Materials and Supplies Total Number of Employees (Direct and Indirect Labour) Number of Production Workers (Direct Labour) Number of Manufacturing Employees (Indirect Labour) Total Opening Inventories Opening Inventories - Goods or Work in Progress Opening Inventories - Finished Goods Manufactured Total Closing Inventories Closing Inventories - Goods/Work in Progress Closing Inventories - Finished Goods Manufactured Manufacturing Value Added For more information about the industries and commodity codes presented contactOSI.Support@gov.ab.ca Annual Survey of Manufactures and Logging The Annual Survey of Manufactures and Logging (ASML) is a survey of the manufacturing and logging industries in Canada. It is intended to cover all establishments primarily engaged in manufacturing and logging activities, as well as the sales offices and warehouses which support these establishments. The details collected include principal industrial statistics (such as revenue, employment, salaries and wages, cost of materials and supplies used, cost of energy and water utility, inventories, etc.), as well as information about the commodities produced and consumed.
Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Percentage of enterprises that introduced product, process, organizational or marketing innovations that were new to one of their markets with environmental benefits related to increased environmental protection activities and to the end user or consumer, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Benefits related to increased environmental protection activities include reduced air, water, soil or noise pollution; and reduced greenhouse gas emissions. Benefits related to the end user or consumer include reduced energy use or increased energy efficiency for the end user or consumer; reduced material use or increased recycling for the end user or consumer; reduced air, water, soil or noise pollution for the end user or consumer; and reduced greenhouse gas emissions for the end user or consumer.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Percentage of enterprises that introduced product, process, organizational or marketing innovations that were new to one of their markets with environmental benefits related to increased environmental protection activities and to the end user or consumer, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Benefits related to increased environmental protection activities include reduced air, water, soil or noise pollution; and reduced greenhouse gas emissions. Benefits related to the end user or consumer include reduced energy use or increased energy efficiency for the end user or consumer; reduced material use or increased recycling for the end user or consumer; reduced air, water, soil or noise pollution for the end user or consumer; and reduced greenhouse gas emissions for the end user or consumer.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
This new data class brings over data from the Waste Management Information System (WMIS), which is an MS Access based database used by MNR to track Waste Management Sites. This was married with the spatial data from Waste Disposal Sites where possible
Different Waste Disposal Site types collected by the Ministry of Natural Resources include:
This product requires the use of GIS software.
*[GIS]: geographic information system *[MNR]: Ministry of Natural Resources *[WMIS]: Waste Management Information System *[MS]: Microsoft
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https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The Broader Public Sector (BPS) plays an important role in helping Ontario meet its conservation targets and reduce greenhouse gas emissions. Under O. Reg. 25/23 (Broader Public Sector: Energy Reporting and Conservation and Demand Management Plans), made under the Electricity Act, 1998, BPS organizations are required to:
This data includes the annual amount of energy used and GHG emitted by BPS organizations.
BPS organizations that are required to report include municipalities, municipal service boards, school boards, universities, colleges and hospitals. Several BPS organizations also voluntarily reported on facilities that are not required by regulation.
Posted data files contain the following information:
Missing or incorrect data is the sole responsibility of the BPS organization. The ministry has attempted to remove duplicate data from this data set to improve data integrity.
The Ministry of Energy and Electrification developed "https://www.ontario.ca/laws/regulation/r23025">O. Reg. 25/23 to help BPS organisations better understand how and where they use energy and demonstrate government leadership by developing conservation plans to guide energy savings.
*The Ministry of Energy and Electrification is aware that COVID-19 may have restricted some BPS organizations’ ability to submit their annual energy reports using the 2018 and 2019 data.