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Demographic Census Data GIS
Demographic Data

2011 Canadian Census Demographics File
The Canadian Census was conducted in May 2011, and released in 2012. The database contains information on Canada's population of over 780 household / demographic census variables, surveyed at the Dissemination Area level. Dissemination Areas / DA's are the basic geographic unit which data is collected at, by a census representive. There are 56,204 Dissemination Areas in Canada. Data was enumerated from 100% of households, collected through self-enumeration, online, mail remittance and in-person cenus representative questionnaire methods.

All variables except Population and Dwelling counts are subjected to random rounding, applied by Statistics Canada to protect confidentiality in small areas of identifiable households. Where possible, databases contain values imputed from higher geography levels to supplement data suppressed in Dissemination Areas with small populations.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Over 780 Variables
  • Population / Dwelling Counts
  • Population by Age & Sex
  • Marital and Common Law Status
  • Families and Dwelling Profiles
  • Mother Tongue / Language
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Federal Electoral Districts / FED
  • Census Tracts / CT
  • Census Subdivision / CSD
  • Census Metropolitan Area / CMA
  • Census Division / CD
  • Province / PR
  • Province / Territory
  • Regional / CMA
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2011, 2012 Release
  • Flat File / Database

Typical Applications: Statistical Census Analysis, Trade Area and Market Analysis, Population & Demographic Research, Ethnicity & Religion Studies, Service Studies and Resource Allocation, Urban and Development Planning, Store and Site Location Research, Direct Target Marketing and Mail Distribution Campaigns, Household, Population and Income Studies, Demographic Profiling and Trend Analysis.

Related GIS Data
Related GIS Software
Demographic Data

2006 Canadian Census Demographics File
The Canadian Census was conducted in May 2006 and released in 2008. The database contains the census results of over 1,850 household / demographic census variables, surveyed at the Dissemination Area level. Dissemination Areas / DA's are the basic geographic unit which data is collected at, by a census representive. There are over 52,000 Dissemination Areas in Canada. Age, Sex and Marital Status counts are based on data collected from 100% of households. All other variables are based on a 20% sample of households. All variables except Population and Dwelling counts are subjected to random rounding, applied by Statistics Canada to protect confidentiality. Where possible, databases contain values imputed from higher geography levels to supplement data suppressed in Dissemination Areas with small populations.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Over 1,850 Variables
  • Household / Dwelling Counts
  • Income
  • Population
  • Age / Sex / Marital Status
  • Education / Occupation
  • Ethnicity / Relgion
  • Mother Tongue / Language
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Census Tract / CT
  • Census Subdivision / CSD
  • Census Metropolitan Area / CMA
  • Province
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2006
  • Flat File / Database

Typical Applications: Statistical Census Analysis, Trade Area and Market Analysis, Population & Demographic Research, Ethnicity & Religion Studies, Service Studies and Resource Allocation, Urban and Development Planning, Store and Site Location Research, Direct Target Marketing and Mail Distribution Campaigns, Household, Population and Income Studies, Demographic Profiling and Trend Analysis.

 

Daytime Population Workplace Employee Estimates

Daytime Population: 2015
The Daytime Population file for Canada, is an estimate of the Working Population aged 15-64 years and Daytime Population Estimates of Persons at Home 0-14 years, 15-64 years and 65+. Data is provided at the DA level, based on Labour Force participation rates, subtracted from the 2011 Census of Population and the current-year demographic Estimates and Projections. Daytime Employment Estimates are up-to-date, based on measures of business intensity and employment statistics, derived from business-related sources. Constraining factors include the reconciling of employment statistics to labour market totals at the Census Metropolitan Area / CMA and Provincial levels.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Daytime Population
  • Daytime Employees
  • Daytime Persons at Home 0-14 years
  • Daytime Persons at Home 15-64 years
  • Daytime Persons at Home +65 year
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

Typical Applications: Traffic Studies and Traffic Count Analysis, Utility & Facility Management, Retail Location & Site Analysis, Daytime & Workplace Population Analysis, Market Analysis, Rate Assessments, Infrastructure & Civil Planning, Transportation and Service Planning.

Demographic Data

PRIZM C2: Canadian Edition
PRIZM C2 is the second generation of the popular consumer segmentation system that classifies all Canadians into one of 66 lifestyle types--with names like Cosmopolitan Elite, Electric Avenues, Les Chics and Lunch at Tim's. The system has been updated with the 2011 Census, newly released Social Values from Environics Research and 2015 Estimates and Projections. PRIZM C2 can be used to improve the execution of many business strategies: customer profiling and acquisition, cross-selling and site selection, strategic planning and media buying. It has wide application for marketers in a variety of industries, including financial services, packaged goods, retail, telecommunications, government agencies, not-for-profits, media and automotive industries.

In today’s fragmented marketplace, you need to find the customers most receptive to your products and services. But who are they? Where do they live? What are they like? And how can you reach them with your message? The answer to all these questions is PRIZM C2, the most powerful marketing tool available to deliver your products and offers to the right people using the most effective media. PRIZM C2 Captures the Nation PRIZM C2 from Environics Analytics is the industry-leading consumer segmentation system that classifies all Canadians into one of 66 lifestyle types. It’s based on the most important drivers of consumer behaviour: demographics, lifestyles and values. With PRIZM C2’s ability to link every neighbourhood and postal code to one of 66 segments, you can implement a variety of critical marketing applications: customer profiling and acquisition, cross-selling and site selection, strategic planning and media buying. And PRIZM C2 stands alone among consumer segmentation models by linking geodemographics and product preferences to psychographics, while incorporating “Social Values” data from Environics Research. With PRIZM C2, you can now understand the hearts and minds of your customers, designing products and crafting messages that reflect their preferences and their perspectives.

To build PRIZM C2, Environics Analytics analyzed over 1,700 demographic variables from the Census conducted by Statistics Canada. The system then sorted the nation’s approximately 55,000 neighbourhoods and their 32 million residents into one of the 66 lifestyle segments and 18 social groups characterized by affluence, urbanity, ethnicity and language. Then gigabytes’ worth of data from multiple sources were integrated to create in-depth portraits of Canadian consumers. When your company links its customer database to PRIZM C2 segments or groups, the result is an accurate portrait of how your targeted consumers behave—whether they prefer luxury cars to subcompacts, tofu to tamales, or radio to podcasts. Even better, you learn what’s important to them for your marketing message: owning leading-edge technology, escaping stress, belonging to the global village or expressing a regional identity. The PRIZM C2 poster provides you with a snapshot of each segment. The PRIZM C2 system captures Canada’s consumer society in all its diversity. There are predominantly French speaking clusters, ethnic clusters and clusters from urban, suburban, exurban, town and rural Canada. Presented with this splintered marketplace, PRIZM C2 becomes a powerful tool to match your company’s products and services to those most receptive to them.

From Mainstream Marketing to Cutting Edge Innovation Consumer segmentation systems originated 30 years ago when Claritas Inc. developed the first geodemographic-based model for the U.S. It worked on the sociological premise that “birds of a feather flock together,” that is, people with similar demographic traits tend to behave in the same way in the marketplace. And years of research have taken this concept further, confirming that residents in neighbourhoods with similar demographics tend to have similar marketplace preferences regardless of where those neighbourhoods are located. As PRIZM C2 proves, the residents of Nouveaux Riches, a cluster of prosperous suburban Francophone families, share a fondness for bicycling and cross-country skiing, whether they live in St-Bruno, Lac Beauport, Lorraine or Boucherville. These principles are expanded with PRIZM C2, integrating psychographic data with geodemographics to show that the residents of the same cluster tend to share the same value systems as well. Social Values analysis provides much deeper answers about why consumers make the choices that they do. With its Social Values component, PRIZM C2 helps you understand how your target consumers think, to tailor your marketing messages for the greatest impact.

Most marketers are familiar with the concepts of Social Values from reading Michael Adams’ award winning books Sex in the Snow, Fire and Ice and American Backlash. PRIZM C2 enables you to take the Values for Canada that are described in these books at 10,000 feet and apply them to customers and neighbourhoods. For example, geodemographic analysis tells us that Young Digerati segments consists of tech-savvy singles and couples living in fashionable urban neighbourhoods in a handful of large cities. But by adding Social Values data, marketers learn that the values of Young Digerati are as cutting-edge as their laptops. These young Canadians see themselves as belonging to the global village and show their recognition of the shrinking world in their global ecological consciousness. While they are eager to succeed, they don’t want to climb an outdated corporate hierarchy to do so; and any marketing campaign should highlight their independent spirit, working on their own outside the cubicles of a large corporation. Through a strategic partnership, PRIZM C2 is also linked to PRIZM NE, the U.S. system developed by Claritas Inc., which is the best-known cluster system in the world. Sixteen segments in both systems share the same name and similar demographic profile - clusters like Money & Brains, Back Country Folks and Big Sky Families. As a result, PRIZM C2 permits clients from Canada and the U.S. to accomplish a variety of business applications - customer profiling and acquisition, cross-selling and site selection, strategic planning and media buying - to reach consumers on both sides of the border. Sixteen are the same - but 50 are different. Understanding those differences can make Canada a more lucrative market for US businesses.

Easy to Access and to Use We deliver PRIZM C2 analysis as a licensed file to overlay on your database or within PCensus. PRIZM C2 is privacy friendly – it augments your customer database without violating Canada’s strict privacy laws. Let us show you how you can use PRIZM C2 to make your business more profitable.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • 66 Lifestyle Clusters
  • 18 Major Lifestyle Groups
  • Modelled Census Demographic Profiles
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

Typical Applications: Demographic & Market Analysis, Market Demand & Research, Franchising & Network Development, Service Studies and Resource Allocation, Store and Site Location Research, Direct Target Marketing and Mail Distribution Campaigns, Household, Population and Income Studies, Demographic Profiling and Trend Analysis.

Demographic Data

PSYTE® Advantage: 2012
PSYTE® Advantage for Canada is a geodemographic segmentation system classifies Canadian neighbourhoods into mutually exclusive lifestyle groups / clusters based on select geodemographic characteristics / variables, location, indicators of consumer and lifestyle behaviour. Geodemographic segmentation / clustering involves classifying small geographic areas (Dissemination Areas / DA’s) into relatively homogeneous market segments. This method produces a set of groups / clusters / market segments that correlate well with individual preferences and consumer behaviors. The basic assumption of clustering is that people with similar characteristics, preferences, and consumer behaviors tend to live in like neighbourhoods, 'you are like your neighbour' and 'behave similarily' or have / want 'similar lifestyles, goods and services'. However, as Canadian society grows / changes / neighbourhoods evolve, cultural and economic diversity increases. The extent of diversity, whether socio-economic, ethnic, cultural, lifestyle, life-stage, or other dimension, is such that the new PSYTE Canada Advantage takes into account unprecedented levels of “within neighbourhood” differences as well as increased diversity overall. Nevertheless, users of this data should discover that the fundamental drivers of consumer behaviors and lifestyles within each cluster are substantially similar. The PSYTE Advantage has 66 clusters, organized into 15 major groups. Each cluster is associated with one of four settlement types: Urban with 23 clusters, Suburban with 17 clusters, Towns with 8 clusters and Rural with 12 clusters.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • 66 Lifestyle Clusters
  • 15 Major Lifestyle Groups
  • Settlement Types (Urban, Suburban, Town, Rural)
  • Modelled Census Demographic Profiles
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

Typical Applications: Demographic & Market Analysis, Market Demand & Research, Franchising & Network Development, Service Studies and Resource Allocation, Store and Site Location Research, Direct Target Marketing and Mail Distribution Campaigns, Household, Population and Income Studies, Demographic Profiling and Trend Analysis.

CSP HEP Consumer Spending Potentials Household Expenditures

Consumer Spending Potentials / Household Expenditures: 2012
The Consumer Spending Potential / Household Expenditures datasets provide estimates of the total dollars spent and average household expenditure on hundreds of items ranging from Shelter to Pet Food, Appliances to Sporting Events and Restaurants to Grocery Stores. These databases are derived from the 2011 Statistics Canada's Survey of Household Spending (SHS) National Recall Survey, Statistics Canada's Food Expenditure Survey, MapInfo / PBSI Canada's PSYTE® Advantage segmentation system and current estimates of households and household income. There are two databases available:

1) CanEx - Expenditure Potential: The Canada Expenditure Potential database is developed using Statistics Canada's Survey of Household Spending (SHS) and MapInfo's PSYTE® Advantage cluster system. Survey respondents are geocoded by Statistics Canada to their Dissemination Area (DA) of residence. While maintaining strict confidentiality and data suppression standard, Statistics Canada aggregates and tabulates all SHS data by PSYTE® Advantage cluster. Coefficients are derived by MapInfo / PBSI such that when applied against an independently derived estimate of aggregate household expenditures at the DA level, an estimate of detailed consumer expenditures is generated. Careful attention is paid to statistical reliability due to sample size, and in some cases imputations and substitutions are made to maintain reliability and consistency within the database.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Approximately 300 Variables, organized into 19 parent categories
  • Shelter / Household Furnishings / Operation
  • Transportation / Service
  • Clothing / Footwear / Jewellery
  • Healthcare / Personal Care / Recreation
  • Reading Materials / Print / Newspapers
  • Education / Miscellaneous
  • Tobacco / Alcoholic Beverages
  • Games of Chance / Gifts / Contributions
  • Taxes / Insurance / Pensions
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

2) FoodEx - Food Expenditure Potential: The Food Expenditure Potential database is developed in a manner similar to the Canada Expenditure Potential database. FoodEx estimates are modeled for small areas / DA's, as well based on Statistics Canada's Food Expenditure Survey and MapInfo / PBSI Canada's PSYTE® Advantage cluster, Household, Income and Expenditure estimates. Respondents to Statistics Canada's Food Expenditure Survey are asked to maintain a daily record of all Food Expenditures (excluding those while on overnight trip's or longer) using two one-week diaries. For Meals and Snacks in Restaurants, respondents are asked to record the total cost of Meals / Snacks. Statistics Canada summarizes Food Expenditure Data of the 5,999 households by PSYTE® Advantage cluster for the detailed Food Expenditure variables, based on reference material provided by MapInfo / PBSI. MapInfo / PBSI analyzes these data to discern patterns and correlates to estimate missing values using a range of statistical methods.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Approximately 200 Variables, organized into 5 parent categories
  • Annual Food Expenditure
  • Food Purchases from Supermarkets
  • Food Purchases from Speciality Food Stores
  • Food Purchases from Convenience Stores
  • Food Purchases from Day Trips
  • Food Purchases from Restaurants by Type
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

Typical Applications: Market Share / Potential and Trade Area Analysis, Market Research Data for Goods and Services, Store Location Research, Site Selection, Market Assessment, Development and Network Planning, Planning Lifestyle Profiling, Franchising and Expansion, Sales Forecasting and Analysis, Direct Target Marketing and Mail Distribution Campaigns, Market Penetration and Market Share Analysis, Competitor and Huff Modelling, Retail Location Analysis, Demographic Profiling and Trend Analysis.

Estimates and Projections Canada

Estimates and Projections: 2015, 2018, 2020, 2025
The Canadian Estimates and Projections database variables are updated annually, released each July, by MapInfo / PBSI. The dataset is based on the most recent Canadian Census: 2011 base values and NHS release. The Estimates and Projection methodology involves a combination of top-down methods (National to Census Subdivision), using traditional demographic techniques, and bottom-up methods (Dissemination Area to Census Subdivision) using demographic techniques along with proprietary spatial modeling techniques. Significant efforts are applied to the integration of the latest Statistics Canada data into MapInfo / PBSI's demographic update process. The 2011 Census information is used as the benchmark for all of the Estimates and Projections in this release. The principal Population characteristics in the Estimates and Projections database are Age and Sex. These characteristics are derived through a cohort component method that takes into account the aging of the Population, Mortality Rates by Age and Sex, Fertility Rates, and differential Migration by Age and Sex. The principal Household characteristics in the Estimates and Projections database are Age of Household Maintainer and Household Income. The distribution of Households by Age of Maintainer is derived from the cohort component model results and the probabilities associated with a person in a given Age group being the primary maintainer of a household as defined by Statistics Canada. Household Income is derived from an economic-demographic model developed in part by Strategic Projections, Inc. for higher levels of geography. For smaller geographic layers, including Dissemination Areas / DA's, Income trends based on the Census are combined with regional Income trends in order to estimate and project Household Income. The distribution of Households by Income is derived from a process which advances census-based income distributions in a manner consistent with the trend in Average Income for a DA. All Income figures are given in current year dollars for each year of the series.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Population Estimates / Trends
  • Household Estimates / Trends
  • Population by Age and Sex
  • Population by Household Maintaners
  • Population by Language / Martial Stautus / Education
  • Population by Labour Force / Occupation
  • Income Trends
  • Dissemination Area / DA
  • Forward Sortation Area / FSA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

Typical Applications: Population and Income Forecasts, Forecasting New Trade Areas and Sales Regions, New, Proposed and Potential Developments, New Store and Site Locations Research, Public and Institutional Facility Planning, Service and Urban Planning, Transportation and Facility Planning, Demographic Profiling and Trend Analysis.

Crime Risk Data Canada

Canadian CAP Crime Index / Crime Risk Data File
The Canadian CAP Crime Index is the single most accurate predictor of loss, risk and crime vulnerability in Canada. CAP is an acronym for Crime Against Persons/Property. CAP Index data are derived from an advanced evaluation system designed to accurately identify the risk of personal and property crimes at any location in Canada. The CAP Index model is based upon the strong relationship that exists between a neighborhood's "social disorganization" and the amount of crime that is perpetrated there. As shown in the following diagram, the CAP Index model was developed by correlating demographic data, survey information and other databases with known indicators of crime:

The CAP Index model produces probability measures that place any location in context with the Canadian, Province and Local levels of criminality. We refer to these probability measures as CRIMECAST scores. These focus on Violent and Property Crimes. Specifically, the types of crime examined by CRIMECAST data are:

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Murder: Causing the death of another person without legal justification or excuse.
  • Sexual Assault: Unlawful sexual intercourse or assault by force or without legal or actual consent. Attempts to commit sexual assault are included Robbery Unlawful theft of money by force or threats from another person in a face-to-face encounter.
  • Assault: Unlawful intentional inflicting of serious bodily injury on another person or the unlawful threat or attempt to inflict bodily injury or death by means of a deadly or dangerous weapon with or without the actual inflicting of any injury.
  • Breaking & Entering: Illegal entering of any property with the intent to commit a felony or larceny.
  • Theft: Illegal taking of property, other than an automobile, by stealth and without force and with no intention of returning that property.
  • Motor Vehicle Theft: Illegal taking or attempted taking of a motor vehicle with no intention of returning it.
  • Violent Crimes: A weighted average of the risk of sexual assault, robbery, murder and assault.
  • Property Crimes: A weighted average of the risk of breaking and entering, theft and theft of motor vehicles.
  • CAP Index: The CAP Index is the greatest overall predictor of crime. It is a weighted average of the risk of sexual assault, robbery and murder. We emphasize these three (3) crimes because, in a business environment, they pose the greatest danger to employees and customers.
  • Dissemination Area / DA
  • Census Tract / CT
  • Census Metropolitan Area / CMA
  • Province / Territory
  • Region
  • National / Canada
  • .dbf
  • .csv
  • .mdb
  • .tab
  • .shp
  • 2015
  • Flat File / Database

CRIMECAST scores indicate a site's risk of crime. The scores are scaled so that a value of 100 is equal to the Canadian, Province or Local average. Scores over 100 represent above-average predicted crime risks, while scores under 100 indi­cate below-average risks. CRIMECAST values can range from 0 to 2000. The following interprets CRIMECAST scores.

CRIMECAST Score Predicted Crime Risk Category Sample CRIMECAST Scores and Interpretation
101 - 2000 Above Average A score of 250 indicates that the predicted crime risk is 2.5 times the Canadian, Province or Local average.
100 Average A score of 100 indicates that the predicted crime risk is equal to the Canadian, Province or Local average.
0 - 99 Below Average A score of 33 indicates that the predicted crime risk is .33, or one third, of the Canadian, Province or Local average.

Typical Applications: Crime Area Analysis, Crime, Loss and Risk Prevention, VClass and Area Profiling, Dispatch and Service Planning, Police and Security Planning, Patrol Route Planning, Civil and Municipal Planning, Real Estate Analysis, Insurance Rate Assessments and Premiums.

Traffic Counts Canada

Traffic Counts Canada
Traffic Counts Canada is based on TeleAtlas Canada’s street data and traffic volume information collected by TransSearch Group Inc. The Traffic Count file contains a point file of From / To intersections and a Line / Vector file containing a network of arc / line segments. Each arc segment has a corresponding Traffic Count for an average 24-hour day as well as a unique ID number to link the network file to the point file. The dataset has been created using a Traffic Count database, From / To intersections were then built from this database, by geocoding street ntersections to MapInfo's StreetPro file. StreetPro was then used in conjunction with the From / To intersections to create the line / arc network. Arcs that exceeded 4km in length were identified as potentially ambiguous segments. The ambiguous segments were later assessed to determine the cause of the long segments and then manually adjusted.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • Traffic Counts
  • Average Daily Volume
  • two-way Traffic
  • Point
  • Vector / Arc
  • Census Metropolitan Area / CMA
  • Province / Territory
  • Region
  • National / Canada
  • .tab
  • .shp
  • 2015
  • 1:2,000

Typical Applications: Site Location Analysis, Planning Route Studies, Trade Area Analysis and Outdoor Advertisement Placement.

Canada Business Summary

Canada Business Summary Location File
The InfoCanada Business Summary Location file provides the summary of over 1.1 million businesses in Canada. Businesses were geocoded and then summarized by standard census areas and postal FSAs. The database contains over 37 variables, including point / geocoded data for individual Businesses, Company Name, Employees, Sales Revenue and SIC / NAICS. The Canada Business Summary data is compiled from more than 300 business / telephone directories, government data sources, business magazines, newsletters and newspapers. Use Canada Business Summary to understand the number and type of businesses within a geographic area or to facilitate mapping and map-based studies of consumers and site location models. The Business Location File is ideal for analyzing the market for opportunities or competitive threats, assigning territories, and building sales and marketing strategies with more information than ever before. There are 1,113,458 records nationwide.

Key GIS Variables Levels of Geography Geographic Units of Sale Geographic Formats Vintage Geographic Scale Resolution
  • 37 Variables
  • Company Name
  • Standard Industrial Classification Code / SIC / NAICS
  • Description
  • Annual Sales Revenue
  • Employment Levels / Number
  • Point
  • Census Metropolitan Area / CMA
  • Province / Territory
  • Region
  • National / Canada
  • .tab
  • .shp
  • 2015
  • 1:2,000

Typical Applications: Direct Target Marketing and Mail Distribution Campaigns, Sales Leads and Lists, Telecommunications, Grid and Fibre Optic Network Planning, Service and Rate Assessments, Broadband and Internet Service Planning, B2B Sales Territory Allocation, Competitive Threats, Territory Allocation / Assignments, Sales and Marketing Strategies, B2B Market Penetration and Market Share Analysis, Site Location Models, Business to Business Marketing, Relocation Studies, Location Analysis, Rate and Service Area Assessment, Franchising, Business and Industry Analysis, Client Searches, Geocoding, Contact Information, Competitor Analysis, NAICS and SIC Profiling, Business Location and Profiling.


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