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Local Data Expertise

RAnLab supports real-world decision making by combining observed localized data and contextual knowledge with advanced data analytics.

How We Can Help You

RAnLab's work is guided by partner engagement -- we'll collaborate with you to decide how we can best help you with the challenges you're working hard to solve.  


All partnerships are flexible. The projects we complete and the support we provide is fully customizable to your needs. This includes custom tailored processes, analysis, and outputs. Contact us to learn more about how we can help you!





Labour Force

And More!

Data Analytics

Economic Analysis

Input-Output Analysis studies the linkages between industries, goods, and locations on a local scale.

Cost-Benefit Analysis determines a project's economic viability.

Economic Analysis estimates, compares, and evaluates the economic, social, and environmental costs and benefits of a policy program, project, or other event.

Labour Market Analysis

This analysis can explore labour market supply and demand imbalances related to skill matching and ageing workforce.

Labour Market Analysis investigates labour market indicators like employment, unemployment rate and participation rate for a specific time frame and geographic location.

Demographic Analysis

Demographic Analysis includes the generation of demographic projections and scenarios that are critical for effective policy making and planning.

Check out this recent project we completed with Municipalities Newfoundland and Labrador.

Demographic Analysis provides insight into a population based on demographics like age, income, birth and death rates, and the implications it has on health care, labour force, housing, spending, and other areas. 

Other Focus Areas

Regional Delineation techniques aim to ensure that the geographic boundaries of regions match the activities that they are intended to support and encourage good local policy development.

Other areas of data expertise include health care, environment, housing market, and other location-based analyses.


If you need help with something not listed here, please contact us and we'll be happy to explore how we can help!

RAnLab's goal is to support evidence-based analysis and decision-making for regional economic planning and development policies.

Data and Information Management

Data Analysis

Data Analysis involves examining data through various types of analyses (see above) to gain insight into a particular challenge or question and support evidence-based decision-making.

Data Collection

Data Collection is the process of reviewing the data landscape. We help to identify data sources, data gaps, and accessibility, gather available data, help submit custom data requests, and document all sources and gaps for future reference. 

Data Organization

Data Organization involves categorizing, classifying, and standardizing data so that it is more useful for analysis and decision-making.

Data Communication

Data Communication refers to communicating socio-economic data and information in an accessible way so that policy developers and regional planners can meaningfully engage with and apply the data and information to their local contexts.

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