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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for geographic information systems gis in the U.S.
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TwitterTempe is among Arizona's most educated cities, lending to a creative, smart atmosphere. With more than a dozen colleges, trade schools, and universities, about 40 percent of our residents over the age of 25 have Bachelor's degrees or higher. Having such an educated and accessible workforce is a driving factor in attracting and growing jobs for residents in the region.The City of Tempe is a member of the Greater Phoenix Economic Council (GPEC), and with the membership, staff tracks collaborative efforts to recruit business prospects and locations. The Greater Phoenix Economic Council (GPEC) is a performance-driven, public-private partnership. GPEC partners with the City of Tempe, Maricopa County, 22 other communities, and more than 170 private-sector investors to promote the region’s competitive position and attract quality jobs that enable strategic economic growth and provide increased tax revenue for Tempe. This dataset provides the target and actual job creation numbers for the City of Tempe and the Greater Phoenix Economic Council (GPEC). The job creation target for Tempe is calculated by multiplying GPEC's target by twice Tempe's proportion of the population. This page provides data for the New Jobs Created performance measure.The performance measure dashboard is available at 5.02 New Jobs Created. Additional Information Source: Extracted from GPEC monthly and annual reports and proprietary excel filesContact: Madalaine McConvilleContact Phone: 480-350-2927Data Source Type: Excel filesPreparation Method: Extracted from GPEC monthly and annual reports and proprietary Excel filesPublish Frequency: AnnuallyPublish Method: ManualData Dictionary
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TwitterThis map presents the full data available on the MLTSD GeoHub, and maps several of the key variables reflected by the Employment Services Program of ETD.Employment Services are a suite of services delivered to the public to help Ontarians find sustainable employment. The services are delivered by third-party service providers at service delivery sites (SDS) across Ontario on behalf of the Ministry of Labour, Training and Skills Development (MLTSD). The services are tailored to meet the individual needs of each client and can be provided one-on-one or in a group format. Employment Services fall into two broad categories: unassisted and assisted services.
Unassisted services include the following components:resources and information on all aspects of employment including detailed facts on the local labour marketresources on how to conduct a job search.assistance in registering for additional schoolinghelp with career planningreference to other Employment and government programs.
Unassisted services are available to all Ontarians without reference to eligibility criteria. These unassisted services can be delivered through structured orientation or information sessions (on or off site), e-learning sessions, or one-to-one sessions up to two days in duration. Employers can also use unassisted services to access information on post-employment opportunities and supports available for recruitment and workplace training.
The second category is assisted services, and it includes the following components:assistance with the job search (including individualized assistance in career goal setting, skills assessment, and interview preparation) job matching, placement and incentives (which match client skills and interested with employment opportunities, and include placement into employment, on-the-job training opportunities, and incentives to employers to hire ES clients), and job training/retention (which supports longer-term attachment to or advancement in the labour market or completion of training)For every assisted services client a service plan is maintained by the service provider, which gives details on the types of assisted services the client has accessed. To be eligible for assisted services, clients must be unemployed (defined as working less than twenty hours a week) and not participating in full-time education or training. Clients are also assessed on a number of suitability indicators covering economic, social and other barriers to employment, and service providers are to prioritize serving those clients with multiple suitability indicators.
About This Dataset
This dataset contains data on ES clients for each of the twenty-six Local Board (LB) areas in Ontario for the 2015/16 fiscal year, based on data provided to Local Boards and Local Employment Planning Councils (LEPC) in June 2016 (see below for details on Local Boards). This includes all assisted services clients whose service plan was closed in the 2015/16 fiscal year and all unassisted services clients who accessed unassisted services in the 2015/16 fiscal year. These clients have been distributed across Local Board areas based on the address of each client’s service delivery site, not the client’s home address. Note that clients who had multiple service plans close in the 2015/16 fiscal year (i.e. more than one distinct period during which the client was accessing assisted services) will be counted multiple times in this dataset (once for each closed service plan). Assisted services clients who also accessed unassisted services either before or after accessing assisted services would also be included in the count of unassisted clients (in addition to their assisted services data).
Demographic data on ES assisted services clients, including a client’s suitability indicators and barriers to employment, are collected by the service provider when a client registers for ES (i.e. at intake). Outcomes data on ES assisted services clients is collected through surveys at exit (i.e. when the client has completed accessing ES services and the client’s service plan is closed) and at three, six, and twelve months after exit. As demographic and outcomes data is only collected for assisted services clients, all fields in this dataset contain data only on assisted services clients except for the ‘Number of Clients – Unassisted R&I Clients’ field.
Note that ES is the gateway for other Employment Ontario programs and services; the majority of Second Career (SC) clients, some apprentices, and some Literacy and Basic Skills (LBS) clients have also accessed ES. It is standard procedure for SC, LBS and apprenticeship client and outcome data to be entered as ES data if the program is part of ES service plan. However, for this dataset, SC client and outcomes data has been separated from ES, which as a result lowers the client and outcome counts for ES.
About Local Boards
Local Boards are independent not-for-profit corporations sponsored by the Ministry of Labour, Training and Skills Development to improve the condition of the labour market in their specified region. These organizations are led by business and labour representatives, and include representation from constituencies including educators, trainers, women, Francophones, persons with disabilities, visible minorities, youth, Indigenous community members, and others. For the 2015/16 fiscal year there were twenty-six Local Boards, which collectively covered all of the province of Ontario.
The primary role of Local Boards is to help improve the conditions of their local labour market by:engaging communities in a locally-driven process to identify and respond to the key trends, opportunities and priorities that prevail in their local labour markets;facilitating a local planning process where community organizations and institutions agree to initiate and/or implement joint actions to address local labour market issues of common interest; creating opportunities for partnership development activities and projects that respond to more complex and/or pressing local labour market challenges; and organizing events and undertaking activities that promote the importance of education, training and skills upgrading to youth, parents, employers, employed and unemployed workers, and the public in general.
In December 2015, the government of Ontario launched an eighteen-month Local Employment Planning Council pilot program, which established LEPCs in eight regions in the province formerly covered by Local Boards. LEPCs expand on the activities of existing Local Boards, leveraging additional resources and a stronger, more integrated approach to local planning and workforce development to fund community-based projects that support innovative approaches to local labour market issues, provide more accurate and detailed labour market information, and develop detailed knowledge of local service delivery beyond Employment Ontario (EO).
Eight existing Local Boards were awarded LEPC contracts that were effective as of January 1st, 2016. As such, from January 1st, 2016 to March 31st, 2016, these eight Local Boards were simultaneously Local Employment Planning Councils. The eight Local Boards awarded contracts were:Durham Workforce Authority Peel-Halton Workforce Development GroupWorkforce Development Board - Peterborough, Kawartha Lakes, Northumberland, HaliburtonOttawa Integrated Local Labour Market PlanningFar Northeast Training BoardNorth Superior Workforce Planning Board Elgin Middlesex Oxford Workforce Planning & Development BoardWorkforce Windsor-Essex
MLTSD has provided Local Boards and LEPCs with demographic and outcome data for clients of Employment Ontario (EO) programs delivered by service providers across the province on an annual basis since June 2013. This was done to assist Local Boards in understanding local labour market conditions. These datasets may be used to facilitate and inform evidence-based discussions about local service issues – gaps, overlaps and under-served populations - with EO service providers and other organizations as appropriate to the local context.
Data on the following EO programs for the 2015/16 fiscal year was made available to Local Boards and LEPCs in June 2016:Employment Services (ES)Literacy and Basic Skills (LBS) Second Career (SC) Apprenticeship
This dataset contains the 2015/16 ES data that was sent to Local Boards and LEPCs. Datasets covering past fiscal years will be released in the future.
Notes and Definitions
NAICS – The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, the United States, and Mexico against the backdrop of the North American Free Trade Agreement. It is a comprehensive system that encompasses all economic activities in a hierarchical structure. At the highest level, it divides economic activity into twenty sectors, each of which has a unique two-digit identifier. These sectors are further divided into subsectors (three-digit codes), industry groups (four-digit codes), and industries (five-digit codes). This dataset uses two-digit NAICS codes from the 2007 edition to identify the sector of the economy an Employment Services client is employed in prior to and after participation in ES.
NOC – The National Organizational Classification (NOC) is an occupational classification system developed by Statistics Canada and Human Resources and Skills Development Canada to provide a standard lexicon to describe and group occupations in Canada primarily on the basis of the work being performed in the occupation. It is a comprehensive system that encompasses all occupations in Canada in a hierarchical structure. At the highest level are ten broad occupational categories, each of which has a unique one-digit identifier. These broad occupational categories are further divided into forty major groups (two-digit codes), 140 minor groups
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TwitterExplore the content in this pathway to see the role of GIS in agriculture education. Understand the opportunities that GIS opens for students in the career cluster for agriculture, food, and natural resources.
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The Professional Map Services market is experiencing robust growth, projected to reach $1003.7 million in 2025. While the exact CAGR isn't provided, considering the rapid technological advancements in GIS, AI-powered mapping, and the increasing reliance on location-based services across various sectors, a conservative estimate of the CAGR for the forecast period (2025-2033) would be between 8% and 12%. This growth is fueled by several key drivers. The burgeoning adoption of smart city initiatives necessitates detailed and accurate mapping solutions. Furthermore, the increasing demand for precise navigation systems in the transportation and logistics industries, coupled with the rising popularity of location-based marketing and advertising, significantly contribute to market expansion. The integration of advanced technologies like AI and machine learning into mapping solutions is further enhancing accuracy, efficiency, and functionality, driving market growth. The market is segmented by service type (consulting and advisory, deployment and integration, support and maintenance) and application (utilities, construction, transportation, government, automotive, others), reflecting the diverse needs of various industries. The competitive landscape is characterized by a mix of established players like Esri, Google, TomTom, and Mapbox, alongside emerging innovative companies. Geographic expansion, particularly in developing economies with rapidly urbanizing populations, presents a significant opportunity for growth. However, challenges such as data security concerns and the high cost of advanced mapping technologies could act as potential restraints. The market's future growth hinges on continuous technological advancements and the expansion of data accessibility. The increasing adoption of cloud-based mapping solutions is streamlining data management and improving collaboration. Furthermore, the growing integration of map data into various applications, such as autonomous vehicles and augmented reality experiences, is creating new market avenues. Regulatory changes and data privacy regulations will play a crucial role in shaping the market landscape in the coming years. The diverse application segments ensure market resilience, as growth in one sector can offset potential slowdowns in another. The ongoing expansion into new geographical territories, particularly in Asia-Pacific and other developing regions, presents substantial growth opportunities for market participants.
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TwitterThis tutorial focuses on some of the tools you can access in ArcGIS Online that cover proximity and hot spot analysis. This resource is part of the Career Path Series - GIS for Crime Analysis Lesson.Find other resources at k12.esri.ca/resourcefinder.
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TwitterThe Career & Technical Education (CTE) Programs section is responsible for developing and maintaining educational programs that prepare individuals for occupations important to Florida’s economic development. These programs are organized into 17 different career clusters and are geared toward middle school, high school, district technical school, and Florida College System students throughout the state. With the help of partners in education, business and industry, and trade associations, each program includes the academic and technical skills required to be successful in today’s economy.This application provides a way to select a "Cluster" program, discover which schools offer the programs, and drill down into each school's programs. The associated interactive map shows the locations of each school, its surrounding area and proximity to student locations. Middle and High school students can locate the schools offering programs they are interested in, to launch them on their career path.Families moving to Lake County can become familiar with each school and the programs they offer.Local employers can see which skillsets are available and focus recruiting efforts locally. This map is maintained by Lake County GIS technicians utilizing information supplied and updated by Lake County Schools, Lake Tech, and Lake-Sumter State College.Contact Elizabeth Heine, Enterprise Support Manager at eheine@lakecountyfl.gov for more information about using the application. Contact the Florida Department of Education at for more information about the CTE program.
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The professional map services market is booming, projected to reach $625.6 million by 2025 with a 7% CAGR. Discover key trends, leading companies, and regional insights in this comprehensive market analysis. Learn about the impact of AI, IoT, and autonomous vehicles on this rapidly growing sector.
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This Innovative Technology Experiences for Students and Teachers (ITEST) project has developed, implemented, and evaluated a series of innovative Socio-Environmental Science Investigations (SESI) using a geospatial curriculum approach. It is targeted for economically disadvantaged 9th grade high school students in Allentown, PA, and involves hands-on geospatial technology to help develop STEM-related skills. SESI focuses on societal issues related to environmental science. These issues are multi-disciplinary, involve decision-making that is based on the analysis of merged scientific and sociological data, and have direct implications for the social agency and equity milieu faced by these and other school students. This project employed a design partnership between Lehigh University natural science, social science, and education professors, high school science and social studies teachers, and STEM professionals in the local community to develop geospatial investigations with Web-based Geographic Information Systems (GIS). These were designed to provide students with geospatial skills, career awareness, and motivation to pursue appropriate education pathways for STEM-related occupations, in addition to building a more geographically and scientifically literate citizenry. The learning activities provide opportunities for students to collaborate, seek evidence, problem-solve, master technology, develop geospatial thinking and reasoning skills, and practice communication skills that are essential for the STEM workplace and beyond. Despite the accelerating growth in geospatial industries and congruence across STEM, few school-based programs integrate geospatial technology within their curricula, and even fewer are designed to promote interest and aspiration in the STEM-related occupations that will maintain American prominence in science and technology. The SESI project is based on a transformative curriculum approach for geospatial learning using Web GIS to develop STEM-related skills and promote STEM-related career interest in students who are traditionally underrepresented in STEM-related fields. This project attends to a significant challenge in STEM education: the recognized deficiency in quality locally-based and relevant high school curriculum for under-represented students that focuses on local social issues related to the environment. Environmental issues have great societal relevance, and because many environmental problems have a disproportionate impact on underrepresented and disadvantaged groups, they provide a compelling subject of study for students from these groups in developing STEM-related skills. Once piloted in the relatively challenging environment of an urban school with many unengaged learners, the results will be readily transferable to any school district to enhance geospatial reasoning skills nationally.
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for gis in the U.S.
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Current career / employment opportunities with the City of Lethbridge.
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The professional map services market is booming, projected to reach $120 billion by 2033, driven by autonomous vehicles, LBS, and smart city initiatives. Explore market trends, key players (Google, TomTom, Esri), and regional growth in this in-depth analysis.
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TwitterJOBS PROXIMITY INDEXSummaryThe jobs proximity index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location. More formally, the model has the following specification: Where i indexes a given residential block-group, and j indexes all n block groups within a CBSA. Distance, d, is measured as “as the crow flies” between block-groups i and j, with distances less than 1 mile set equal to 1. E represents the number of jobs in block-group j, and L is the number of workers in block-group j. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. InterpretationValues are percentile ranked with values ranging from 0 to 100. The higher the index value, the better the access to employment opportunities for residents in a neighborhood. Data Source: Longitudinal Employer-Household Dynamics (LEHD) data, 2017. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020
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TwitterIn Module 2 Lesson 1, we will take a deeper dive into Geographic Information Systems (GIS) technology. We'll explore different types of GIS data, the importance of data attributes and queries, data symbolization, and ways to access GIS technology. Let's just start with a quick refresher on what exactly GIS is. Click the box below for an amazing overview of GIS provided by Esri, the world leader in geospatial technology. Be sure to explore additonal tabs and live buttons. This site is packed full of information, from the history of GIS, to its applications and career opportunities.
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TwitterThe New Jersey Department of Community Affairs’ (NJDCA) Local Planning Services (LPS) Division was tasked with preparing a spatial dataset and map of science, technology, engineering and math (STEM) assets for the Greater Atlantic City, NJ Area, which includes Atlantic City and other municipalities within Atlantic County. The aim is to collect as much information throughout the Greater Atlantic City Area relevant to building a vibrant, strong STEM education and program community, which will be helpful to: Industry (to understand the workforce skills being developed); Educators (to align, support and enhance curriculums and find facilities for programs); Parents (to find resources and programs for their children); and the Community (to access programs for adults for up-skilling, re-skilling changing career paths).LPS worked with the South Jersey STEM Innovation & Partnership and the Atlantic City Initiatives Project Office, a unit within the NJDCA's Division of Local Government Services to prepare a STEM asset survey. The data collected from this survey and from additional research by LPS staff was used to populate the dataset. The dataset contains known assets to date and will be updated periodically as additional information is provided and/or compiled. In addition to the survey, sources for the data displayed on the map include the New Jersey Office of Information Technology, Office of GIS (NJOGIS), the National Center for Education Statistics, the Greater Atlantic City Chamber of Commerce, and the New Jersey Department of Education. Based on the data collected and compiled, LPS mapped over 105 STEM facilities ( e.g. aquariums, museums, science centers, institutions of higher education, etc.), in-school and out-of-school curriculums and programs, and/or industry partner/employer programs (e.g. internships, co-ops, scholarships, fellowships, career workshops) in the Greater Atlantic City region using GIS software.
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TwitterMichigan, together with business, education, and community partners, is embarking on a journey to make Michigan a world leader in STEM (Science, Technology, Engineering, and Mathematics) education. The work of the MiSTEM Network is to build on existing STEM networks to create a STEM ecosystem that supports and implements the components outlined in the four pillars: creating a STEM culture; empowering STEM teachers; integrating business and education; and, ensuring high quality STEM experiences.This story map provides an interactive map to explore where various STEM career opportunities are in the west central region.After you have had a chance to look at the story map, please give us some feedback on what was helpful, what could be improved, and the reason you are using this story map.
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TwitterThe MiSTEM Career Exploration StoryMap is a spatial tool that combines interactive maps, text, and other multimedia content for STEM (Science, Technology, Engineering, and Mathematics) career awareness, exploration, and development for students, parents, adult job seekers, and the community. The StoryMap will function as a statewide database and tool to visualize and access workforce data in a unique and useful way. Designed to communicate the physical location of business partners and industry clusters in Michigan, users will have the tools to identify trends, patterns, and opportunities to make better career decisions as students and adults prepare for higher education, credentialing, and the workforce. The map will highlight:
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TwitterAbout Employment ServiceEmployment Service (ES) is one component of the suite of services known as Employment Ontario (EO). ES provides Ontarians with access to all the employment services and supports they need in one location, so they can find and keep a job, apply for training, and plan a career that’s right for them. The goal of the ES program is to help Ontarians find sustainable employment.Employment Service is delivered by third-party service providers at service delivery sites (SDS) across Ontario on behalf of the Ministry of Labour, Training and Skills Development (MLTSD). The services provided by ES are tailored to meet the individual needs of each client and can be provided one-on-one or in a group format.Employment Service has two broad categories: unassisted and assisted services.Unassisted services, or the Resource and Information (RI) service component, provides individuals with information on local training and employment opportunities, community service supports, and resources to support independent or “unassisted” job search. These services can be delivered through structured orientation or information sessions (on or off site), e-learning sessions, or one-to-one sessions up to two days in duration. The RI component also helps employers to attract and recruit employees and skilled labour by posting positions and offering opportunities to participate in job fairs and other community events.This service component is available to all Ontarians as there are no eligibility or access requirements.Assisted services are offered to individuals who display the need for more intensive, structured, and/or one-on-one employment supports, and includes the following components:job search assistance (including individualized assistance in career goal setting, skills assessment, and interview preparation)job matching, placement and incentives (which match client skills and interested with employment opportunities, and include placement into employment, on-the-job training opportunities, and incentives to employers to hire ES clients), and job training/retention (which supports longer-term attachment to or advancement in the labour market or completion of training)The service provider will develop with the assisted services client an ES service plan – and will monitor, evaluate, and adjust this plan over the duration of the service plan.To be eligible for assisted services, clients must be unemployed (defined as working less than twenty hours a week) and not participating in full-time education or training. Clients are also assessed on a number of suitability indicators covering economic, social and other barriers to employment, and service providers are to prioritize serving those clients with multiple suitability indicators.About ES Service Provider FundingService providers that deliver Employment Service sign agreements with MLTSD that cover individual fiscal years (defined as April 1st to March 31st). These agreements specify at which service delivery site(s) the service provider agrees to provide ES, the performance expectations for each service delivery site (SDS), and the funding that MLTSD will provide to the service provider to deliver ES at each SDS. Funding for ES is provided through two budget categories: operating funds and flow-through funds, with the latter further divided between Employment and Training Incentives for Employers and Employment and Training Supports for Clients/Participants. These three budget lines cover the normal costs of delivering all aspects of ES for both unassisted and assisted clients; for exception one-off expenditures, such as relocation, service providers can apply for Field Supports, which is the fourth and final budget line. Please see below for additional details on each of these four budget lines:2. Operating Funds are for the direct delivery of all of the components of ES (unassisted and assisted). Costs related to the provision of the ES that would be considered part of a service delivery site’s day-to-day operations include, but are not limited to:staff and management salaries;hiring and training of staff (including professional development);marketing (signage, paper/web ads, outreach, etc.);facilities (rent);facilities (mortgage payments) ONLY the interest portion of a mortgage payment is allowed as an Operating cost;other direct operating expenditures related to the delivery of the Employment Service.Service delivery sites are able to attribute no more than 15% of their operating funds for administrative overhead. Administrative overhead recognizes costs necessary for operating an organization but not directly associated with the delivery of the Employment Service. For example, a portion of the salaries/benefits of the Executive Director, IT, and/or financial staff who work for the entire organization but may spend a portion of their time dedicated to administrative functions that support ES. Note that Operating Funds cannot be used for termination and severance costs.2. Employment and Training Incentives for Employers are funds for employers to provide employment and on-the-job training opportunities in ES (up to $8,000 per person. The $8,000 is made up of a maximum of $6,000 for training incentives and an additional $2,000 for the Apprenticeship Employer Signing Bonus, if applicable).3. Employment and Training Supports for Clients/Participants are funds for Clients/Participants in assisted components (up to $500 per Client/Participant). These supports are determined based on family income and are intended, on a temporary basis, to help Clients/Participants address any financial barriers to participation in ES. Client eligibility for these supports is determined on the basis of need and the Low-Income Cut-offs (LICO) income value for the locality. Supports can cover costs such as:transportation;work clothing or clothing/grooming needed to achieve credibility;special equipment, supplies and equipment;certification charges (that may be applied to some short term courses);short term training costs such as books, materials;emergency or infrequent child care;language skills assessment/academic credential assessment;translation of academic documents (for internationally trained individuals);workplace accommodation needs for persons with disabilities.4. Field Supports are funds that may be provided through a formal in-year request to support ES Recipients with one-time exceptional expenditures not normally included as part of ongoing operations. Requests will be reviewed on a case by case basis and approved at the sole discretion of the Ministry. Purchases related to Field Support cannot be made without prior written approval from the Ministry.Service providers have discretion over the use of their funds within the following parameters:Operating funds are allocated against an identified level of service;In situations of co-location of ES with other programs and services, ES funds must only be used to cover costs directly related to the delivery of ES;Operating funds cannot be used for major capital expenditures, such as the purchase or construction of facilities. Purchase of equipment and furniture directly related to the effective delivery of the contracted program is allowable;A service provider must obtain prior written approval from the Ministry to shift funds between service delivery sites or communities;A service provider must not transfer funds between the four budget lines given above unless it obtains the prior written consent of the Ministry; andA service provider should not anticipate additional funds, although the Recipient should discuss any issues with the Ministry.A funding model is used to determine funding levels for the Operating Funds budget line. This model is based on the target number of assisted services clients that each service delivery site agrees to serve in that fiscal year. Note that no targeted funds are provided to deliver unassisted services; these are to be funded out of the allocation provided to service delivery sites on the basis of their target number of assisted services clients.The ES funding model allocates resources in five ranges based on the target amount of assisted services client the service delivery site is to achieve. For each range there is a sliding scale of possible funding amounts per assisted services client, and service delivery sites with higher assisted service client targets generally receive lower per client funding, on the basis that larger service delivery sites are able to achieve economies of scale. Also note that because of this graduated approach to ES funding it is possible that a service delivery site that has its assisted services client target increase may actually receive less overall funding if the target increase shifts it from one range to the next.The five funding ranges are:A/S Client TargetFunding Range per A/S ClientUp to 399$1,000 to $2,950400 to 899$925 to $2,100900 to 1,499$850 to $1,2001,500 to 1,999$795 to $1,0002,000 and Above$795The actual funding amount per assisted services client within each range is determined by reference to two groups of indicators: Location and Labour Market Environment. A service delivery site is assessed against each indicator, and within each group the number of indicators that are assessed as valid/true is totaled. The value, along with the assisted services client target, is then compared to a table to determine the funding value for Location and Labour Market Environment. The average of these two values is then multiplied by the assisted services client target to determine the amount of Operating Funds the service delivery site is to receive.The indicators for each group are below. Note that the Labour Market Environment indicators compare 2009 data for the Consolidated Municipal Service Manager area or planning zone in which the service delivery site is located with the 2009 provincial average.LocationIs the service delivery
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TwitterEconomic Opportunity - Track job creation rate and unemployment rate.
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TwitterQuality of Life - Create and implement a professional development process promoting advancement, establishing a foundation for individual career paths, to produce highly trained employees for a healthy and safe County.