NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 1 NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO
Enabling Fund for Official Language
Minority Communities Local Level Information Strategy
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 2
Canada’s linguistic dualityTwo official languages
• French the official language minority
7.7 million, of which 1 million live outside Quebec in geographically dispersed communities
• English the minority language in Quebec
1 million
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 3
Strong Government of Canada commitment to Official Language Minorities (OLMs)The Enabling Fund (EF) for Official Language Minority Communities (OLMCs) supports communities in addressing their labour market needs • Objective: Enhance vitality through economic and workforce development and
work towards common goals
• Supports: 14 organizations providing local leadership, promoting partnerships, implementing projects, filling gaps in services, and leveraging networks – One per province/territory plus national umbrella organization
• Moving forward: Increase emphasis on providing locally relevant information, strengthening self-assessment capacity and diversifying funding sources
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 4
…including community developmentCanada’s two official languages are part of our history and our national identity - they help define who we are as Canadians
• Roadmap for Canada's Official Languages 2013-2018 outlines Government's major policy directions
– Three key areas: Education, Immigration, Communities– Comprehensive initiative reaffirms commitment to linguistic duality– Invests in 30 measures delivered by 15 federal departments and agencies
– Builds on progress
• Complements other actions
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 5
Challenges to vitality for OLMCs
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 6
Local level analysis key to understand OLM needs
• National / regional picture fails to capture needs – local lens required
• Difficult to get local level data on small populations
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 7
What we did to get the information• A five year the EF collaboration with Statistics Canada:
– Innovative ways to embed within existing datasets, link data
– New methodologies based on research from the OECD LEED amongst
others
– Development of tools employing the latest in mapping and data visualization
• Our Objective: Better understand the local labour market conditions in
OLMCs, to support local organizations in identifying needs and
opportunities for economic and workforce development
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 8
What we did – Key steps• Define Labour Market Areas - a new geography based on commuting patterns
• Display data - visualization techniques
• Assess the balance between skills supply and demand – Skills Equilibrium
• Add measure to assess economic health of labour market areas - Economic
Performance Index – a compound measure to assess the economic health of
labour market areas
• Disseminate in a self-serve format - online mapping applications
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 9
Define Local Labour Market Areas (LMAs)
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 10
Display local-level labour market area LMIThrough mapping interface charts and graphs can be generated to examine
indicators of interest for specific LMAs
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 11
• Skills demand measured by combining average employment income and
percentage of people employed in medium-to high-skilled jobs
• Skills supply measured by the percentage of the population having a post-
secondary education (university certificate, diploma or degree)
The Skills Equilibrium Model
Skills Deficit- demand for high-skills is met by a supply of low-skills
Low Skills Trap –demand of low-skillsIs met with supply of low-skills
High SkillsEquilibrium–demand for high-skillsis met with an equal supply of high-skills
Skills Surplus–Demand for low-skillsis met with supply of high-skills
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 12
Apply the Skills Equilibrium• OECD LEED Skills for Competitiveness Study (Giguère & Froy, 2009) developed
methodology to assess the degree of match or equilibrium between supply and
demand for skills – High Skills Equilibrium optimal
• Investment in skills upgrading must be accompanied by stimulation of local
demand for these skills, encouraging local enterprises to increase their
productivity and raise competitiveness
• Skills analysis was undertaken for all of Canada’s LMAs…
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 13
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 14
Add an Economic Performance Index• Objective: Develop a means to measure and compare the economic health of
LMAs across Canada to support identification of disadvantaged areas for targeting
program resources
• Factors in development of the Index:
– Consult and work with experts to determine indicators
– Base Indicators on vetted index measures or concepts
– Ensure relevance by use of data sources which can be updated yearly
– Improve data quality through new approaches such as small-area estimation
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 15
Disseminate local level information
• Spatial aspect of information meant that dissemination needed strong
visualization components to allow users to zoom into and interact with areas
of interest, and query data layers
• Two options pursued: Community Information Database (an existing
government website) and Open Source web mapping application
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 16
• Developed to provide communities, researchers and governments with
socio-economic and demographic data on Canadian communities
• We updated with three Census years of historically comparable
information with variables broken down by linguistic minority and majority
groups
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 17
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 18
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 19
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 20
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 21
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 22
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 23
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 24
In-house, low-cost solution• Developed an in-house solution based on open source software
• Advantages:– No costs to developers or users– More sustainable in the long term– Greater flexibility to meet future identified needs – Department can add internal administrative datasets not be possible for
applications housed on an external server
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 25
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 26
Case study - New Brunswick
• 17th century settlers from France
• Displaced after British victory in
Seven Years War
• Later returned, descendants
across Louisiana, Franca,
Atlantic provinces
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 27
New Brunswick OLMC culture vitalBut there are challenges:
• More than 70% of NB’s Francophone population lives rural areas with economy largely based on resource industries - mining, forestry, peat and fisheries
– Like many resource-oriented regions, dealing with structural changes and serious
economic difficulties
• Weak labour market forcing graduates and skilled workers to leave
– Consequently, businesses facing shortage of skilled workers
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 28
RDEE New Brunswick2014-2015 Activitiesoverlayed with OLM population percentage
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 29
RDEE New Brunswick2014-2015 Youth Activitiesoverlayed with 15-30 unemployment rates
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 30
RDEE New Brunswick2014-2015 Youth Activity in Tracadie-Sheila
Project was to continue the development of cooperative entrepreneurship initiatives among young people, educational and summerbusiness workshops that offerpractical experience of the cooperative model.
NOW AND TOMORROW EXCELLENCE IN EVERYTHING WE DO 31
Next steps• Support Statistics Canada working to make these local labour market areas
a standard geography
• Continue work on the development of dissemination tools
• Begin to use data and tools to direct and inform our programs