National Youth Volunteers (NYV) is a term that can refer to various volunteer programs or initiatives aimed at engaging young people in community service and civic participation. These programs are typically organized at the national level and are designed to provide young individuals with opportunities to contribute to their communities and develop valuable skills.

The specific structure and objectives of National Youth Volunteer programs can vary depending on the country and organization running them. Some programs may focus on addressing social issues such as poverty, education, health, or the environment, while others may offer broader volunteering opportunities in different sectors.

The benefits of participating in National Youth Volunteer programs are numerous. For young people, it offers a chance to make a positive impact, gain valuable skills and experiences, develop leadership abilities, and broaden their perspectives. It also allows them to meet like-minded individuals, build networks, and foster a sense of community and social responsibility.

National Youth Volunteer programs often collaborate with local nonprofits, government agencies, and community organizations to identify areas of need and allocate volunteers accordingly. These programs may offer a range of volunteer opportunities, such as organizing events, mentoring or tutoring younger students, participating in environmental conservation projects, assisting in healthcare facilities, or engaging in disaster relief efforts.

To get involved in a National Youth Volunteer program, individuals can typically find information through government websites, youth organizations, or by reaching out to local community centers. Eligibility criteria, application processes, and time commitments can vary, so it's important to research and understand the specific requirements of each program.

Participating in National Youth Volunteer initiatives not only allows young people to contribute positively to society but also helps in their personal growth and development. It fosters a sense of civic engagement and encourages young individuals to become active and responsible citizens in their communities.

Youth Agency Youth Voluntary Service System accumulates data on youth volunteering in host organisations. The Authority shall provide data to be collected from 2018 and updated. scheduled daily. The data collects host organizations name and address, year of application for volunteering, accepted, number and amount of rejected normal applications, applications for membership numbers as a curator and mentor.

In 2022, the share of people volunteering in an association in France was higher among people aged 65 to 79. Indeed, nearly one-third (32 percent) of French people aged 70-74 volunteered in an association, as did 27 percent of 75-79 year olds, and 24 percent of 65-69 year olds. In contrast, only 14 percent of those aged 45-49 volunteered in an association. Between 2010 and 2022, with the exception of 2019, the proportion of men volunteering in an association in France was higher than that of women.

The package includes volunteer hours registered by youth volunteers of the Youth Agency in the host organisation (“PO”). Volunteering is open to persons aged between 14 and 29. Within a 6-month period, after gathering at least 240 hours of volunteering (at least 35 hours per month), volunteers receive a certificate confirming the right to an additional admission point of 0.25 to Lithuanian higher education institutions. The package refers only to the name and field of activity of the organisation organising voluntary activities (“SVO”), without specifying the address, since only the address of the establishment and not the voluntary activity is recorded. The volunteer's gender (“dedicated” _gender) is determined from the volunteer's name. If the gender cannot be determined by name, the column reads “not identified.” If the name ends - or the name ends - in letters, then the female gender (“mot”) is assigned. If the name ends - or the last name ends - the letters include the male gender (“head”). Data has been compiled since 2019, but electronic filling of schedules into the system has been launched since 2022. By 2022, the schedules had been manually led from scanned volunteering schedules. The “savan_men_nr” column shall indicate the serial number of the month and the “savan_val_sum” shall indicate the number of hours volunteered during that month. These columns are filled in until the transition to the electronic graph filling system, but can continue to be filled in. When volunteering hours begin to be filled in, the following columns shall be filled in in the electronic graph filling system: “savan_start _date”, “savan_end _date”, “savan_val_duration”. The “report_id” column is the identifier for elevating the schedule to the system. The information in the collection is updated annually.

The data provider is the Agency for Youth Affairs.

Contact the atverimas@stat.gov.lt for technical questions or possible errors.

1. Environmental volunteering can benefit participants and nature through improving physical and mental wellbeing while encouraging environmental stewardship. To enhance achievement of these outcomes, conservation organisations need to reach different groups of people to increase participation in environmental volunteering. This paper explores what engages communities searching online for environmental volunteering.
   

2. We conducted a literature review of 1032 papers to determine key factors fostering participation by existing volunteers in environmental projects. We found the most important factor was to tailor projects to the motivations of participants. Also important were: promoting projects to people with relevant interests; meeting the perceived benefits of volunteers and removing barriers to participation.
   

3. We then assessed the composition and factors fostering participation of the NatureVolunteers’s online community (n = 2216) of potential environmental volunteers and compared findings with those from the literature review. We asked whether projects advertised by conservation organisations meet motivations and interests of this online community.
   

4. Using Facebook insights and Google Analytics we found that the online community were on average younger than extant communities observed in studies of environmental volunteering. Their motivations were also different as they were more interested in physical activity and using skills and less in social factors. They also exhibited preference for projects which are outdoor based, and which offer close contact with wildlife. Finally, we found that the online community showed a stronger preference for habitat improvement projects over those involving species-survey based citizen science.
   

5. Our results demonstrate mis-matches between what our online community are looking for and what is advertised by conservation organisations. The online community are looking for projects which are more solitary, more physically active and more accessible by organised transport. We discuss how our results may be used by conservation organisations to better engage with more people searching for environmental volunteering opportunities online.
   

6. We conclude that there is a pool of young people attracted to environmental volunteering projects whose interests are different to those of current volunteers. If conservation organisations can develop projects that meet these interests, they can engage larger and more diverse communities in nature volunteering.
   

Methods The data set consists of separate sheets for each set of results presented in the paper. Each sheet contains the full data, summary descriptive statistics analysis and graphs presented in the paper. The method for collection and processing of the dataset in each sheet is as follows:

The data set for results presented in Figure 1 in the paper - Sheet: "Literature"

We conducted a review of literature on improving participation within nature conservation projects. This enabled us to determine what the most important factors were for participating in environmental projects, the composition of the populations sampled and the methods by which data were collected. The search terms used were (Environment* OR nature OR conservation) AND (Volunteer* OR “citizen science”) AND (Recruit* OR participat* OR retain* OR interest*). We reviewed all articles identified in the Web of Science database and the first 50 articles sorted for relevance in Google Scholar on the 22nd October 2019. Articles were first reviewed by title, secondly by abstract and thirdly by full text. They were retained or excluded according to criteria agreed by the authors of this paper. These criteria were as follows - that the paper topic was volunteering in the environment, including citizen science, community-based projects and conservation abroad, and included the study of factors which could improve participation in projects. Papers were excluded for topics irrelevant to this study, the most frequent being the outcomes of volunteering for participants (such as behavioural change and knowledge gain), improving citizen science data and the usefulness of citizen science data. The remaining final set of selected papers was then read to extract information on the factors influencing participation, the population sampled and the data collection methods. In total 1032 papers were reviewed of which 31 comprised the final selected set read in full. Four factors were identified in these papers which improve volunteer recruitment and retention. These were: tailoring projects to the motivations of participants, promoting projects to people with relevant hobbies and interests, meeting the perceived benefits of volunteers and removing barriers to participation.

The data set for results presented in Figure 2 and Figure 3 in the paper - Sheet "Demographics"

To determine if the motivations and interests expressed by volunteers in literature were representative of wider society, NatureVolunteers was exhibited at three UK public engagement events during May and June 2019; Hullabaloo Festival (Isle of Wight), The Great Wildlife Exploration (Bournemouth) and Festival of Nature (Bristol). This allowed us to engage with people who may not have ordinarily considered volunteering and encourage people to use the website. A combination of surveys and semi-structured interviews were used to collect information from the public regarding demographics and volunteering. In line with our ethics approval, no personal data were collected that could identify individuals and all participants gave informed consent for their anonymous information to be used for research purposes. The semi-structured interviews consisted of conducting the survey in a conversation with the respondent, rather than the respondent filling in the questionnaire privately and responses were recorded immediately by the interviewer. Hullabaloo Festival was a free discovery and exploration event where NatureVolunteers had a small display and surveys available. The Great Wildlife Exploration was a Bioblitz designed to highlight the importance of urban greenspaces where we had a stall with wildlife crafts promoting NatureVolunteers. The Festival of Nature was the UK’s largest nature-based festival in 2019 where we again had wildlife crafts available promoting NatureVolunteers. The surveys conducted at these events sampled a population of people who already expressed an interest in nature and the environment by attending the events and visiting the NatureVolunteers stand. In total 100 completed surveys were received from the events NatureVolunteers exhibited at; 21 from Hullabaloo Festival, 25 from the Great Wildlife Exploration and 54 from the Festival of Nature. At Hullabaloo Festival information on gender was not recorded for all responses and was consequently entered as “unrecorded”.

OVERALL DESCRIPTION OF METHOD DATA COLLECTION FOR ALL OTHER RESULTS (Figures 4-7 and Tables 1-2)

The remaining data were all collected from the NatureVolunteers website. The NatureVolunteers website https://www.naturevolunteers.uk/ was set up in 2018 with funding support from the Higher Education Innovation Fund to expand the range of people accessing nature volunteering opportunities in the UK. It is designed to particularly appeal to people who are new to nature volunteering including young adults wishing to expand their horizons, families looking for ways connect with nature to enhance well-being and older people wishing to share their time and life experiences to help nature. In addition, it was designed to be helpful to professionals working in the countryside & wildlife conservation sectors who wish to enhance their skills through volunteering. As part of the website’s development we created and used an online project database, www.naturevolunteers.uk (hereafter referred to as NatureVolunteers), to assess the needs and interests of our online community. Our research work was granted ethical approval by the Bournemouth University Ethics Committee. The website collects entirely anonymous data on our online community of website users that enables us to evaluate what sort of projects and project attributes most appeal to our online community. Visitors using the website to find projects are informed as part of the guidance on using the search function that this fully anonymous information is collected by the website to enhance and share research understanding of how conservation organisations can tailor their future projects to better match the interests of potential volunteers. Our online community was built up over the 2018-2019 through open advertising of the website nationally through the social media channels of our partner conservation organisations, through a range of public engagement in science events and nature-based festivals across southern England and through our extended network of friends and families, their own social media networks and the NatureVolunteers website’s own social network on Facebook and Twitter. There were 2216 searches for projects on NatureVolunteers from January 1st to October 25th, 2019.

The data set for results presented in Figure 2 and Figure 3 in the paper - Sheet "Demographics"

On the website, users searching for projects were firstly asked to specify their expectations of projects. These expectations encompass the benefits of volunteering by asking whether the project includes social interaction, whether particular skills are required or can be developed, and whether physical activity is involved. The barriers to participation are incorporated by asking whether the project is suitable for families, and whether organised transport is provided. Users were asked to rate the importance of the five project expectations on a Likert scale of 1 to 5 (Not at all = 1, Not really = 2, Neutral = 3, It

Financial overview and grant giving statistics of Youth Volunteer Corps

Youth volunteer participation in training and service by gender statistics

This dataset is the most comprehensive look at volunteering and civic life in the 50 states and 51 cities across the country. Data include volunteer rates and rankings, civic engagement trends, and analysis.

Volunteer rate and distribution of volunteer hours, for the population aged 15 and over, by definition of volunteering and presence of children in household, Canada and provinces.

The Active Lives Children and Young People Survey, which was established in September 2017, provides a world-leading approach to gathering data on how children engage with sport and physical activity. This school-based survey is the first and largest established physical activity survey with children and young people in England. It gives anyone working with children aged 5-16 key insight to help understand children's attitudes and behaviours around sport and physical activity. The results will shape and influence local decision-making as well as inform government policy on the PE and Sport Premium, Childhood Obesity Plan and other cross-departmental programmes. More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

Due to the closure of school sites during the coronavirus pandemic, the Active Lives Children and Young People survey was adapted to allow at-home completion. This approach was retained into the academic year 2022-23 to help maximise response numbers. The at-home completion approach was actively offered for secondary school pupils, and allowed but not encouraged for primary pupils.

The adaptions involved minor questionnaire changes (e.g., to ensure the wording was appropriate for those not attending school and enabling completion at home) and communication changes. For further details on the survey changes, please see the accompanying User Guide document. Academic years 2020-21, 2021-22 and 2022-23 saw a more even split of responses by term across the year, compared to 2019-20, which had a reduced proportion of summer term responses due to the disruption caused by Covid-19.

The survey identifies how participation varies across different activities and sports, by regions of England, between school types and terms, and between different demographic groups in the population. The survey measures levels of activity (active, fairly active and less active), attitudes towards sport and physical activity, swimming capability, the proportion of children and young people that volunteer in sport, sports spectating, and wellbeing measures such as happiness and life satisfaction. The questionnaire was designed to enable analysis of the findings by a broad range of variables, such as gender, family affluence and school year.

The following datasets have been provided:

1) Main dataset: this file includes responses from children and young people from school years 3 to 11, as well as responses from parents of children in years 1-2. The parents of children in years 1-2 provide behavioural answers about their child’s activity levels; they do not provide attitudinal information. Using this main dataset, full analyses can be carried out into sports and physical activity participation, levels of activity, volunteering (years 5 to 11), etc. Weighting is required when using this dataset (wt_gross / wt_gross - Csplan files are available for SPSS users who can utilise them).

2) Year 1-2 dataset: This file includes responses directly from children in school years 1-2, providing their attitudinal responses (e.g., whether they like playing sport and find it easy). Analysis can also be carried out into feelings towards swimming, enjoyment of being active, happiness, etc. Weighting is required when using this dataset (wt_gross / wt_gross - Csplan files are available for SPSS users who can utilise them).

3) Teacher dataset: This file includes responses from the teachers at schools selected for the survey. Analysis can be carried out to determine school facilities available, the length of PE lessons, whether swimming lessons are offered, etc. Since December 2023, Sport England has provided weighting for the teacher data (‘wt_teacher’ weighting variable).

For further information, please read the supporting documentation before using the datasets.

Volunteer rate and distribution of volunteer hours, population aged 15 and over, presence of children in household, 2013.

Financial overview and grant giving statistics of Youth Volunteer Corps of Hampton Roads Inc.

Please note: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against Master File data in the Research Data Centres. Starting in 1996, Human Resources Development Canada and Statistics Canada began developing the Youth in Transition Survey (YITS). Consultations took place with representatives from federal government departments with an interest in youth policy, provincial ministries and departments of education and labour, practitioners working directly with youth (teachers, counsellors, school board personnel and social workers), employers, business and education associations, academic researchers, youth and parents. The result of these consultations was the development of the YITS as a longitudinal survey to collect policy-relevant information on the school-work transitions of young people, and the factors that influence such transitions. Two different age cohorts were included in the YITS. The first, a cohort aged 15 years old, was selected to collect information about adolescents as they begin their secondary school experience. The second cohort aged 18 to 20 years old was selected to provide information on the post-secondary and labour market experiences of young adults. The broad objectives of the Youth in Transition Survey are: - to examine key transitions in the lives of youth, such as the transition from high school to postsecondary schooling and the initial transition from schooling to the labour market; - to better understand educational and labour market pathways and the factors influencing these pathways; - to identify educational and occupational pathways that provide a smoother transition to the labour market; - to examine the incidence, characteristics, factors and effects of leaving school; - to understand the impact of school effects on educational and occupational outcomes; - to examine the contribution of work experience programs, part-time jobs, and volunteer activities to skill development and transition to the labour market; - to study the attitudes, behaviours, and skills of young people entering the labour market; - to gain a better understanding of the determinants of post-secondary entry and post-secondary retention, including education financing; - to better understand the role of educational and labour market aspirations and expectations in investment in further education and career choice; and, - to explore the educational and occupational pathways of various sub-groups, particularly youth "at risk".

This dataset provides information about volunteers and their preferences for the type of organization they would like to volunteer for. The dataset is ideal for building a volunteer matching platform or conducting data analysis related to volunteerism and social causes. It contains various attributes of volunteers, including their names, ages, genders, skills, availability, locations, and the types of organizations they are interested in.

The dataset includes 50 rows, with each row representing a volunteer profile. Volunteers have provided information about their skills and availability for volunteering, allowing organizations to match them with suitable opportunities. The dataset also categorizes the preferred types of organizations into three categories: pet and animal service, healthcare, and youth development.

This dataset can be utilized for a variety of purposes, including:

• Volunteer Matching: Use this dataset to develop a volunteer matching platform that connects volunteers with organizations based on their skills, availability, and interests.

• Data Analysis: Explore the dataset to gain insights into the preferences, skills, and availability of volunteers in different locations. Analyze trends in volunteerism and identify patterns that can inform strategies for engaging volunteers effectively.

• Python Projects: Utilize this dataset for practicing data analysis skills using Python libraries such as pandas, NumPy, or scikit-learn. Perform exploratory data analysis, create visualizations, and build predictive models related to volunteerism and social causes.

• Web Development: Incorporate this dataset into web development projects to create interactive volunteer matching platforms or visualizations related to volunteer engagement and social causes.

Whether you are a data scientist, a web developer, or someone interested in volunteerism and social causes, this dataset provides a valuable resource for analysis and application development. Start exploring and contributing to the field of volunteer matching and social impact!

Note: The dataset is simulated and does not contain real personal information. It has been generated for educational and illustrative purposes.

In 2021, about **** percent of people in Germany aged 50 to 59 were volunteers. This is considerably more than in younger age categories. This survey shows the age distribution of people in Germany who volunteer. The consumption and media analysis (Verbrauchs- und Medienanalyse) VuMA provides information on more than 1,000 brands and almost all products advertised in the media. The report provides data on usage and shopping behavior, media usage as well as opinions and attitudes of the German-speaking population aged 14 years and older.

Abstract copyright UK Data Service and data collection copyright owner.

The Active Lives Children and Young People Survey, which was established in September 2017, provides a world-leading approach to gathering data on how children engage with sport and physical activity. This school-based survey is the first and largest established physical activity survey with children and young people in England. It gives anyone working with children aged 5-16 key insight to help understand children's attitudes and behaviours around sport and physical activity. The results will shape and influence local decision-making as well as inform government policy on the PE and Sport Premium, Childhood Obesity Plan and other cross-departmental programmes. More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

The Active Lives Children and Young People Survey, 2017-2018 commenced during school academic year 2017 / 2018. It ran from autumn term 2017 to summer term 2018 and excludes school holidays. The survey identifies how participation varies across different activities and sports, by regions of England, between school types and terms, and between different demographic groups in the population. The survey measures levels of activity (active, fairly active and less active), attitudes towards sport and physical activity, swimming capability, the proportion of children and young people that volunteer in sport, sports spectating, and wellbeing measures such as happiness and life satisfaction. The questionnaire was designed to enable analysis of the findings by a broad range of variables, such as gender, family affluence and school year.

The following datasets are available:

1) Main dataset includes responses from children and young people from school years 3 to 11, as well as responses from parents of children in years 1-2. The parents of children in years 1-2 provide behavioural answers about their child's activity levels, they do not provide attitudinal information. Using this main dataset, full analyses can be carried out into sports and physical activity participation, levels of activity, volunteering (years 5 to 11), etc. Weighting is required when using this dataset (wt_gross / wt_set1.csplan).

2) Year 1-2 pupil dataset includes responses from children in school years 1-2 directly, providing their attitudinal responses (e.g. whether they like playing sport and find it easy). Analysis can be carried out into feelings towards swimming, enjoyment for being active, happiness etc. Weighting is required when using this dataset (wt_gross / wt_set1.csplan).

3) Teacher dataset includes responses from the teachers at schools selected for the survey. Analysis can be carried out into school facilities available, length of PE lessons, whether swimming lessons are offered, etc. Weighting was formerly not available, however, as Sport England have started to publish the Teacher data, from December 2023 we decide to apply weighting to the data. The Teacher dataset now includes weighting by applying the ‘wt_teacher’ weighting variable.

For further information about the variables available for analysis, and the relevant school years asked survey questions, please see the supporting documentation. Please read the documentation before using the datasets.

Latest edition information

For the second edition (January 2024), the Teacher dataset now includes a weighting variable (‘wt_teacher’). Previously, weighting was not available for these data.

Main Topics:

Topics covered in the Active Lives Children and Young People Survey include:

• Sport and physical activity participation
• Well-being
• Health

This archive contains the full dataset of the project "Skills acquisition and employability through volunteering by displaced youth in Uganda", also known as Refugee Youth Volunteering Uganda (RYVU), an interdisciplinary research project funded by the UK’s Global Challenges Research Fund (GCRF) and Economic and Social Research Council (ESRC). The archive includes the project's quantitative and qualitative data collected in four locations in Uganda (Kampala city, and the refugee settlements of Bidibidi, Nakivale and Rwamwanja).

This project investigates the capacity of volunteering to reduce inequalities experienced by displaced youths in Uganda and to build their skills and employability. Forced displacement has become one of the most intractable challenges of the 21st century, with 65.6 million people displaced worldwide at the end of 2016 - a number which is predicted to rise further in the coming years.

1.4 million of these refugees are currently seeking refuge in Uganda, fleeing from conflicts in the Central African countries of South Sudan, the Democratic Republic of Congo, Burundi, and Somalia to the east. The majority of these refugees are children, and so building the skills and employability of the many young people (understood in this research as aged 15 - 25) - caught up in this crisis is critical not only to their own future prospects, but to the long-term stability of their host country and region.

Often, however, economic and other inequalities will exclude young refugees from formal schooling and wider opportunities for skills acquisition; while they will also frequently "fall through the cracks" of humanitarian programming. Many, though, are engaged in volunteering, a practice increasingly identified with building skills and enhancing employability. Thus, the aim of this research is to develop a new conceptual framework and produce a body of data and evidence for critically analysing whether volunteering by displaced youths in Uganda helps their skills acquisition and employability and reduces the inequalities they experience.

The project will take an interdisciplinary (Youth Studies, Volunteering Studies, Refugee Studies, Urban Studies and Development Studies) mixed method approach, and establish and exploit collaborative links with global South refugee NGOs, volunteers and leading global volunteering and development actors. Fieldwork will be conducted in four case study regions - Kampala city, North Western Uganda, South Uganda, where two of the populations are in the same district, and South West Uganda - and proceed through the following three phases.

In Phase 1, the research team will carry out a series of workshops, key informant interviews and field visits in order to build stakeholder engagement, refine and confirm the impact plan, and establish an initial typology of forms and understandings of volunteering to inform the large-scale quantitative survey in phase 2.

In Phase 2, the research team will design, develop, pilot and launch a large quantitative survey of young refugees involved in volunteering. Preliminary analysis of the data arising from this survey will inform the questions and focus of phase 3.

Comprising 6 main activities - participatory mapping, participatory photography, one to one semi-structured interviews, life history interviews, and stakeholder interviews - Phase 3 will deepen our understanding of where and how young refugees volunteer, address the factors shaping volunteering activity, and its impacts on skills acquisition and employability.

The main outputs from the project will include 10 international peer-reviewed journal articles; presentations at major national and international conferences; a project website, containing findings, updates and working notes targeted at different audiences; a compendium of policy briefings; a (touring) photographic exhibition (and accompanying booklet), drawing on images solicited in the context of the participatory photography exercise; and a volunteering for skills acquisition and employability toolkit.

By developing a conceptual framework and body of data and evidence on the impact of volunteering by displaced youths in Uganda on skills acquisition, employability and inequality, the research will contribute directly to knowledge which supports how creative solutions to meeting the Sustainable Development Goal challenges work with programmes to develop education and skills.

In 2021, the participation rate of volunteer activities for children in Japan reached *** percent. This represented a decrease compared to five years prior, when *** percent of respondents claimed to be involved in volunteer work for children.

The Canada Survey of Giving, Volunteering and Participating 2007 is the latest iteration of a series of surveys that began with the National Survey of Giving, Volunteering and participating. It was conducted by Statistics Canada in 1997 as a supplement to the Labour Force Survey, and was repeated in the fall of 2000. In 2001, the federal government provided funding to establish a permanent survey program on charitable giving, volunteering and participating within Statistics Canada. The survey itself was renamed the Canada Survey of Giving, Volunteering and Participating (CSGVP). The CSGVP was developed through a partnership of federal government departments and voluntary sector organizations. These include Canadian Heritage, Health Canada, Human Resources and Social Development Canada, Imagine Canada, the Public Health Agency of Canada, Statistics Canada and Volunteer Canada. There are two data files for the 2007 Canada Survey of Giving, Volunteering and Participating (CSGVP): the main answer file (MAIN.TXT), and the giving file (GS.TXT). The 2007 CSGVP was conducted by Statistics Canada in the provinces and territories from September 10th to December 8th 2007.

Financial overview and grant giving statistics of Volunteer Services Council for the Waco Center for Youth