Microdata User Guide

National Survey of Giving, Volunteering and Participating

August 2001

Table of Contents

1.0	Introduction	6

2.0	Background	7

3.0	Objectives	8

4.0	Concepts and Definitions	9

4.1	Labour Force Survey Concepts and Definitions	9

4.2	National Survey of Giving, Volunteering and Participating Concepts and Definitions	11

5.0	Survey Methodology	15

5.1	Population Coverage	15

5.2	Sample Design	15

5.2.1	Primary Stratification	15

5.2.2	Types of Areas	16

5.2.3	Secondary Stratification	16

5.2.4	Cluster Delineation and Selection	17

5.2.5	Dwelling Selection	18

5.2.6	Person Selection	18

5.3	Sample Size	20

5.4	Sample Rotation	20

5.5	Modifications to the LFS design for the National Survey of Giving, Volunteering and Participating	21

5.6	Sample size by Province for the National Survey of Giving, Volunteering and Participating	21

6.0	Data Collection	22

6.1	Interviewing for the LFS	22

6.2	Supervision and Control	22

6.3	Non-Response to the LFS	23

6.4	Data Collection Modifications for the National Survey of Giving, Volunteering and Participating	23

6.5	Non-Response to the National Survey of Giving, Volunteering and Participating	24

7.0	Data Processing	25

7.1	Editing	25

7.2	Coding of Open-ended Questions	25

7.3	Imputation	26

7.4	Creation of Derived Variables	27

7.5	Weighting	27

7.6	Suppression of Confidential Information	28

8.0	Data Quality	29

8.1	Response Rates	29

8.2	Survey Errors	29

8.2.1	The Frame	30

8.2.2	Data Collection	30

8.2.3	Data Processing	31

8.2.4	Non-response	32

8.2.5	Measurement of sampling error	33

9.0	Guidelines for Tabulation, Analysis and Release	34

9.1	Rounding Guidelines	34

9.2	Sample Weighting Guidelines for Tabulation	35

9.3	Definitions of types of estimates: Categorical vs. Quantitative	35

9.3.1	Categorical Estimates	35

9.3.2	Tabulation of Categorical Estimates	36

9.3.3	Tabulation of Quantitative Estimates	37

9.4	Guidelines for Statistical Analysis	37

9.5	C.V. Release Guidelines	38

10.0	Approximate Sampling Variability Tables	40

10.1	How to use the CV tables for Categorical Estimates	41

10.1.1	Examples of using the C.V. tables for Categorical Estimates	43

10.2	How to use the C.V. tables to obtain Confidence Limits	46

10.2.1	Example of using the C.V. tables to obtain confidence limits	47

10.3	How to use the C.V. tables to do a t-test	47

10.3.1	Example of using the C.V. tables to do a t-test	48

10.4	Coefficients of Variation for Quantitative Estimates	48

10.5	Release cut-off's for the National Survey of Giving, Volunteering and Participating	49

10.6	C.V. Tables	50

11.0	Weighting	61

11.1	Weighting Procedures for the LFS	61

11.2	Weighting Procedures for the National Survey of Giving, Volunteering and Participating	62

12.0	Structure of the National Survey of Giving, Volunteering and Participating Files	63

12.1	Variable Naming Conventions used in the National Survey of Giving, Volunteering and Participating Files	63

13.0	Record Layout and Univariates	67

Main File	68

VD File	163

GS File	176

1.0	Introduction

The National Survey of Giving, Volunteering and Participating (NSGVP) is one component of the Voluntary Sector Initiative, a collaborative program of the federal government and the voluntary sector. The 2000 NSGVP was conducted by Statistics Canada in October, November and early December of 2000 on behalf of the Voluntary Sector Initiative and in partnership with federal policy departments and voluntary organizations.

This manual has been produced to facilitate the manipulation of the microdata file of the survey results.

Any questions about the data set or its use should be directed to:

Statistics Canada

Client Services

Special Surveys Division, Statistics Canada

Section B-5

5th floor, Jean Talon Building

Tunney's Pasture

Ottawa, Ontario	K1A 0T6

ssd@statcan.ca

1-888-297-7355

ssd@statcan.ca

2.0	Background

Canadians provide support to one another and their communities in a myriad of ways, however, the breadth and depth of this support was largely unknown and undocumented until recently. In 1997, the National Survey of Giving, Volunteering and Participating (NSGVP) provided the first comprehensive look at the contributions that Canadians made to one another through their gifts of time and money. Using a similar framework, this survey was conducted again in 2000 enabling an examination of the changes in these behaviours over a three-year period. Fittingly, the release of the results of the 2000 NSGVP coincides with The United Nations' International Year of Volunteers (IYV), which serves to highlight the contributions that volunteers make to Canadian life.

The NSGVP is the result of a partnership of federal government departments and voluntary sector organizations that includes the Canadian Centre for Philanthropy, Canadian Heritage, Health Canada, Human Resources Development Canada, Statistics Canada and Volunteer Canada. It was conducted in 1997 as a special survey by Statistics Canada and, beginning with the 2000 survey, the NSGVP will be conducted every three years as part of the Federal Government's Voluntary Sector Initiative.

The content of the 2000 NSGVP and its methodology are, for the most part, identical to that of the 1997 Survey. The 2000 survey is based on a representative sample of 14,724 Canadians aged 15 and over who were asked how they gave money and other resources to individuals and to organizations, volunteered time to help others and to enhance their communities, and participated in the practices of active citizenship.

The survey, given its scale, provides the most comprehensive assessment of giving, volunteering and participating ever undertaken in Canada or, to the best of our knowledge, in the world. The 2000 survey replicates the 1997 survey and enables us to begin to track both changes in contributory behaviours and changes in the characteristics of those Canadians making contributions. Any trend in these behaviours has important implications for Canadian society. The results from the survey allow this report to paint a portrait of the ways Canadians contribute to society through their monetary and voluntary support of others.

3.0	Objectives

The objectives of the NSGVP are threefold:

1)	to collect national data to fill a void of information about individual contributory behaviours including volunteering, charitable giving and civic participation;

2)	to provide reliable and timely data to the System of National Accounts; and

3)	to inform both the public and voluntary sectors in policy and program decisions that relate to the charitable and volunteer sector.

4.0	Concepts and Definitions

This chapter outlines concepts and definitions of interest to the users. The concepts and definitions used in the Labour Force Survey are described in section 4.1 while those specific to the National Survey of Giving, Volunteering and Participating are given in section 4.2.

4.1	Labour Force Survey Concepts and Definitions

Labour Force Status

Status of the respondent in the labour market : a member of the non-institutional population 15 years and over is designated as either employed, unemployed or not in the labour force.

Employed

Employed persons are those who, during the reference week:

(a)	did any work1 at all

(b)	had a job but were not at work due to:

- own illness or disability

- personal or family responsibilities

- bad weather

- labour dispute

- vacation

- other reason not specified above (excluding persons on layoff and persons whose job attachment was to a job starting at a definite date in the future).

Unemployed

Unemployed persons are those who, during the reference week:

(a)	were without work, had actively looked for work in the past four weeks (ending with reference week), and were available for work2;

(b)	had not actively looked for work in the past four weeks but had been on layoff3 and were available for work;

(c)	had not actively looked for work in the past four weeks but had a new job to start in four weeks or less from the reference week, and were available for work.

Not in the Labour Force

Those persons in the civilian non-institutional population 15 years of age and over who, during the reference week, were neither employed nor unemployed.

Industry and Occupation

The Labour Force Survey provides information about the occupation and industry attachment of employed and unemployed persons, and of persons not in the labour force who have held a job in the past five years. Since 1984, these statistics have been based on the 1980 Standard Occupational Classification and the 1980 Standard Industrial Classification. Prior to 1984, the 1971 Standard Occupational Classification and the 1970 Standard Industrial Classification were used.

Reference week

Entire calendar week covered by the Labour Force Survey each month. It is usually the week containing the 15th day of the month. The interviews are conducted during the following week, called the Survey Week, and the labour force status determined is that of the reference week.

Full-time

Full-time employment consists of persons who usually work 30 hours or more per week, plus those who usually work less than 30 hours but consider themselves to be employed full-time (e.g. airline pilots).

Part-time

Part-time employment consists of all other persons who usually work less than 30 hours per week.

4.2	National Survey of Giving, Volunteering and Participating Concepts and Definitions

Cash donation

Refers to a donation of cash made to a charitable or non-profit organization. Three types of cash donations were measured:

1)	Financial donation refers to a cash donation made in response to, or by approaching a charitable or non-profit organization;

2)	Cash box donation refers to depositing spare change in cash boxes usually located beside a cash register at store check-outs; and

3)	Leaving a bequest which involves leaving a cash donation to a charitable or non-
profit organization in one's will.

Charitable giving

Encompasses the following types of charitable giving which were measured in this survey: cash donations, in-kind donations and indirect financial support.

Donor

Any person who made donations of money to a charitable or non-profit organization during the 12-month period preceding the survey

Indirect financial support

This survey also measured individuals participation in supporting charitable and non- profit organizations through indirect financial support. Indirect financial support includes purchasing goods such as chocolate bars or coupon books where the proceeds go to a charitable organization, purchasing charity-sponsored raffle or lottery tickets, and gaming in charity sponsored bingos or casinos.

In-Kind Donations

Are non-monetary donations made to a charitable or non-profit organization. Examples include donations of clothing or household items and donations of food.

Volunteer

Any individual who volunteered, i.e. , who willingly performed a service without pay, through a group or organization during the 12-month reference period preceding the survey.

Other types of giving

The NSGVP also asked questions about financial support given to people directly, not through an organization. Individuals were asked about whether they had given money to relatives living outside of their household, homeless people or others living outside of their household.

Other ways of helping people

The NSGVP also asked individuals about a variety of ways in which they provided help to others directly, not though the structure of an organization. This type of help refers to help given to individuals living outside of the respondents household.

Participating

Refers to being a member or a participant in any of the following types of organizations: work related; sports or recreation; religious affiliated; community or school related; cultural, educational, or hobby related; service club or fraternal organization; and political.

Organization classification

Respondents were asked to provide information on the organizations for which they volunteered and to which they made donations. Respondents were first asked to provide the name of the organization. A pick-list of common organizations was used. If the organization cited by the respondent was not on this pick-list, the respondent was then asked to provide information about what this organization does. This information was then used to group organizations into broad categories.

The International Classification of Nonprofit Organizations (ICNPO) Revision 1, developed by the Johns Hopkins Comparative Nonprofit Sector Project, was used to code organizations. A major advantage of the ICNPO system is that it is used widely by other countries and thus allows for international comparisons. The ICNPO system groups organizations into 12 Major Activity Groups, including a catch-all "Not Elsewhere Classified" category. These 12 Major Activity Groups are further subdivided into 24 sub- groups. The groups are as follows:

1.	Culture and Recreation: includes organizations and activities in general and specialized fields of culture and recreation. Three sub-groups of organizations are included in this group: (1) culture and arts (i.e., media and communications; visual arts, architecture, ceramic art; performing art; historical, literacy and humanistic societies; museums; and zoos and aquariums); (2) sports; and (3) other recreation and social clubs (i.e., service clubs and recreation and social clubs).

2.	Education and Research: includes organizations and activities administering, providing, promoting, conducting, supporting and servicing education and research. Four sub-groups are contained in this group: (1) primary and secondary education organizations; (2) higher education organizations; (3) organizations involved in other education (i.e., adult/continuing education and vocational/technical schools); and 4) organizations involved in research (i.e., medical research, science and technology, and social sciences).

3.	Health: includes organizations that engage in health-related activities, providing health care, both general and specialized services, administration of health care services, and health support services. Four sub-groups are included in this category: (1) hospitals and rehabilitation; (2) nursing homes; (3) mental health and crisis intervention; and (4) other health services (i.e., public health and wellness education, out-patient health treatment, rehabilitative medical services, and emergency medical services).

4.	Social Services: includes organizations and institutions providing human and social services to a community or target population. Three sub-groups are contained in this category: (1) social services (including organizations providing services for children, youth, families, the handicapped and the elderly, and self- help and other personal social services; (2) emergency and relief; and income support and maintenance.

5.	Environment: includes organizations promoting and providing services in environmental conservation, pollution control and prevention, environmental education and health, and animal protection. Two sub-groups are included in this category: environment and animal protection.

6.	Development and Housing: includes organizations promoting programs and providing services to help improve communities and promote the economic and social well-being of society. Three sub-groups are included in this category: (1) economic, social and community development (including community and neighbourhood organizations); (2) housing; and (3) employment and training.

7.	Law, Advocacy and Politics: includes organizations and groups that work to protect and promote civil and other rights, advocate the social and political interests of general or special constituencies, offer legal services and that promote public safety. Three sub-groups are contained in this category: (1) civic and advocacy organizations; (2) law and legal services; and (3) political organizations.

8.	Philanthropic Intermediaries and Voluntarism: includes philanthropic organizations and organizations promoting charity and charitable activities including grant-making foundations, voluntarism promotion and support, and fund-raising organizations.

9.	International: includes organizations promoting cultural understanding between peoples of various countries and historical backgrounds and also those providing relief during emergencies and promoting development and welfare abroad.

10.	Religion: organizations promoting religious beliefs and administering religious services and rituals; includes churches, mosques, synagogues, temples, shrines, seminaries, monasteries and similar religious institutions, in addition to related organizations and auxiliaries of such organizations.

11.	Business and professional associations, Unions: includes organizations promoting, regulating and safeguarding business, professional and labour interests.

12.	Groups not elsewhere classified

5.0	Survey Methodology

The National Survey of Giving, Volunteering and Participating was administered in October, November and early December of 2000 to a sub-sample of the dwellings in the Labour Force Survey (LFS) sample, and therefore its sample design is closely tied to that of the LFS. The LFS design is briefly described in Sections 5.1 to 5.44 Sections 5.5 and 5.6 describe how the National Survey of Giving, Volunteering and Participating departed from the basic LFS design in October 2000.

5.1	Population Coverage

The LFS is a monthly household survey whose sample of individuals is representative of the civilian, non-institutionalized population 15 years of age or older in Canada's ten provinces. Specifically excluded from the survey's coverage are residents of the Yukon5, Northwest Territories and Nunavut, persons living on Indian Reserves, full-time members of the Canadian Armed Forces and inmates of institutions. These groups together represent an exclusion of approximately 2% of the population aged 15 or over.

5.2	Sample Design

The LFS has undergone an extensive redesign, culminating in the introduction of the new design at the end of 1994. The LFS sample is based upon a stratified, multi-stage design employing probability sampling at all stages of the design. The design principles are the same for each province. A diagram summarizing the design stages appears at the end of this section.

5.2.1	Primary Stratification

Provinces are divided into economic regions and employment insurance regions. Economic regions (ERs) are geographic areas of more or less homogeneous economic structure formed on the basis of federal provincial agreements. They are relatively stable over time. Employment insurance economic regions (EIERs) are also geographic areas, and are roughly the same size and number as ERs, but they do not share the same definitions. Labour force estimates are produced for the EIER regions for the use of Human Resources Development Canada.

The intersections of the two types of regions form the first level of stratification for the LFS. These ER/EIER intersections are treated as primary strata and further stratification is carried out within them (see section 5.2.3). Note that a third set of regions, Census Metropolitan Areas (CMAs), is also respected by stratification in the current LFS design, since each CMA is also an EIER.

5.2.2	Types of Areas

The primary strata (ER/EIER intersections) are further disaggregated into 3 types of areas: rural, urban, and remote areas. Urban and rural areas are loosely based on the Census definitions of urban and rural, with some exceptions to allow for the formation of strata in some areas. Urban areas include the largest CMAs down to the smallest villages categorized by the 1991 Census as urban (1000 people or more), while rural areas are made up of areas not designated as urban or remote.

All urban areas are further subdivided into two types: those using an apartment list frame and an area frame, as well as those using only an area frame.

Approximately 1% of the LFS population is found in remote areas of provinces which are less accessible to LFS interviewers than other areas. For administrative purposes, this portion of the population is sampled separately through the remote area frame. Some populations, not congregated in places of 25 or more people, are excluded from the sampling frame.

5.2.3	Secondary Stratification

In urban areas with sufficiently large numbers of apartment buildings, the strata are subdivided into apartment frames and area frames. The apartment list frame is a register which is based upon information supplied by Canadian Mortgage and Housing Corporation (CMHC) and is maintained in the 18 largest cities across Canada. The purpose of this is to ensure better representation of apartment dwellers in the sample as well as to minimize the effect of growth in clusters, due to construction of new apartment buildings. In the major cities, the apartment strata are further stratified into low income strata and regular strata.

Where it is possible and/or necessary, the urban area frame is further stratified into regular strata, high income strata, and low population density strata. Most urban areas fall into the regular urban strata, which, in fact, cover the majority of Canada's population. High income strata are found in major urban areas, while low density urban strata consist of small towns that are geographically scattered.

In rural areas, the population density can vary greatly from relatively high population density areas to low population density areas, resulting in the formation of strata that reflect these variations. The different stratification strategies for rural areas were based not only on concentration of population, but also on cost-efficiency and interviewer constraints.

In each province, remote settlements are sampled proportional to the number of dwellings in the settlement, with no further stratification taking place. Dwellings are selected using systematic sampling in each of the places sampled.

5.2.4	Cluster Delineation and Selection

Households in final strata are not selected directly. Instead, each stratum is divided into clusters, and then a sample of clusters is selected within the stratum. Dwellings are then sampled from selected clusters. Different methods are used to define the clusters, depending on the type of stratum.

Within each urban stratum in the urban area frame, a number of geographically contiguous groups of dwellings, or clusters, are formed based upon 1991 Census counts. These clusters are generally a set of one or more city blocks or block faces. The selection of a sample of clusters (always 6 or a multiple of 6 clusters) from each of these secondary strata represents the first stage of sampling in most urban areas. In some other urban areas, Census Enumeration Areas (EAs) are used as clusters. In the low density urban strata, a three stage design is followed. Under this design, two towns within a stratum are sampled, and then six or 24 clusters within each town are sampled.

For urban apartment strata, instead of defining clusters, the apartment building is the primary sampling unit. Apartment buildings are sampled from the list frame with probability proportional to the number of units in each building.

Within each of the secondary strata in rural areas, where necessary, further stratification is carried out in order to reflect the differences among a number of socio-economic characteristics within each stratum. Within each rural stratum, six EAs or two or three groups of EAs are sampled as clusters.

5.2.5	Dwelling Selection

In all three types of areas (urban, rural and remote areas) selected clusters are first visited by enumerators in the field and a listing of all private dwellings in the cluster is prepared. From the listing, a sample of dwellings is then selected. The sample yield depends on the type of stratum. For example, in the urban area frame, sample yields are either 6 or 8 dwellings, depending on the size of the city. In the urban apartment frame, each cluster yields 5 dwellings, while in the rural areas and EA parts of cities, each cluster yields 10 dwellings. In all clusters, dwellings are sampled systematically. This represents the final stage of sampling.

5.2.6	Person Selection

Demographic information is obtained for all persons for whom the selected dwelling is the usual place of residence. LFS information is obtained for all civilian household members 15 years of age or older. Response burden is minimized for the elderly (70 years of age or older) by carrying forward their responses for the initial interview to the subsequent five months in the survey.

Labour Force Survey Sample Design - 1995+

Province
EIR-ER Intersection
{76.4%}	{22.6%}	{1.0%}
Urban Areas	Rural Areas	Remote Areas
{5.6%}	{70.8%}
Apartment List Frame	Area Frame
{0.6%}	{5.0%}	{69.2%}	{0.8%}	{0.8%}	{18.3%}	{4.3%}
Low Income

Apartments	Regular

Apartments	Regular

Area Frame	High Income

Area Frame	Low Population

Density	High Population

Density	Low Population

Density
stratum	stratum	stratum	stratum	stratum	stratum	stratum	stratum
building	building	cluster & EA	cluster & EA	town	EA	EA group	Place/EA
dwelling	dwelling	dwelling	dwelling	cluster	dwelling	dwelling	dwelling
dwelling

= level of stratification	EIR - Employment Insurance Region

ER - Economic Region

{%} - percentage of total sample

EA - Census Enumeration Area

cluster - set of blockfaces

= stage of sampling

5.3	Sample Size

The sample size of eligible persons in the LFS is determined so as to meet the statistical precision requirements for various labour force characteristics at the provincial and subprovincial level, to meet the requirements of federal, provincial and municipal governments as well as a host of other data users.

The monthly LFS sample consists of approximately 60,000 dwellings. After excluding dwellings found to be vacant, dwellings demolished or converted to non-residential uses, dwellings containing only ineligible persons, dwellings under construction, and seasonal dwellings, about 52,350 dwellings remain which are occupied by one or more eligible persons. From these dwellings, LFS information is obtained for approximately 102,000 civilians aged 15 or over.

5.4	Sample Rotation

The LFS employs a panel design whereby the entire monthly sample of dwellings consists of 6 panels, or rotation groups, of approximately equal size. Each of these panels is, by itself, representative of the entire LFS population. All dwellings in a rotation group remain in the LFS sample for 6 consecutive months after which time they are replaced (rotated out of the sample) by a new panel of dwellings selected from the same or similar clusters.

This rotation pattern was adopted to minimize any problems of non-response or respondent burden that would occur if households were to remain in the sample for longer than 6 months. It also has the statistical advantage of providing a common sample base for short-term month-to-month comparisons of LFS characteristics, since five of the six rotation groups in the LFS sample are common from month to month.

Because of the rotation group feature, it is possible to readily conduct supplementary surveys using the LFS design but employing less than the full size sample.

5.5	Modifications to the LFS design for the National Survey of Giving, Volunteering and Participating

The National Survey of Giving, Volunteering and Participating used five of the six rotation groups in the October 2000 LFS sample. For the NSGVP, the coverage of the LFS was set at the household level. Unlike the LFS where information is collected for all eligible household members, the NSGVP only collected information from one pre- selected household member and proxy responses were not permitted.

5.6	Sample size by Province for the National Survey of Giving, Volunteering and Participating

The following table shows the number of households in the LFS sampled rotations who were eligible for the National Survey of Giving, Volunteering and Participating supplement. This tables includes households which were non-respondents to the LFS.

PROVINCE	SAMPLE SIZE
Newfoundland	1,628
Prince Edward Island	1,222
Nova Scotia	2,946
New Brunswick	2,589
Quebec	8,876
Ontario	13,102
Manitoba	3,199
Saskatchewan	3,393
Alberta	3,520
British Columbia	4,137
CANADA	44,612

6.0	Data Collection

Data collection for the LFS is carried out each month during the week following the LFS reference week, usually the third week of the month.

6.1	Interviewing for the LFS

Statistics Canada interviewers, who are part-time employees hired and trained specifically to carry out the LFS, contact each of the sampled dwellings to obtain the required labour force information. Each interviewer contacts approximately 70 dwellings per month.

Dwellings new to the sample are contacted through a personal visit. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all eligible members. Provided there is a telephone in the dwelling and permission has been granted, subsequent interviews are conducted by telephone. As a result, approximately 85% of all dwellings are interviewed by telephone. In these subsequent monthly interviews, as they are called, the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month.

In all dwellings, information about all household members is obtained from a knowledgeable household member - usually the person at home when the interviewer calls. Such 'proxy' reporting, which accounts for approximately 55% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent.

At the conclusion of the LFS monthly interviews, interviewers introduce the supplementary survey, if any, to be administered to some or all household members that month.

If, during the course of the six months that a dwelling normally remains in the sample, an entire household moves out and is replaced by a new household, information is obtained about the new household for the remainder of the six-month period.

6.2	Supervision and Control

All LFS interviewers are under the supervision of a staff of senior interviewers who are responsible for ensuring that interviewers are familiar with the concepts and procedures of the LFS and its many supplementary surveys, and also for periodically monitoring their interviewers and reviewing their completed documents. The senior interviewers are, in turn, under the supervision of the LFS program managers, located in each of the 8 Statistics Canada regional offices.

6.3	Non-Response to the LFS

Interviewers are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. For individuals who at first refuse to participate in the LFS, a letter is sent from the Regional Office to the dwelling address stressing the importance of the survey and the household's cooperation. This is followed by a second call (or visit) from the interviewer. For cases in which the timing of the interviewer's call (or visit) is inconvenient, an appointment is arranged to call back at a more convenient time. For cases in which there is no one home, numerous call backs are made. Under no circumstances are sampled dwellings replaced by other dwellings for reasons of non- response.

Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS and for which LFS information was obtained in the previous month, this information is brought forward and used as the current month's LFS information. No supplementary survey information is collected for these households.

6.4	Data Collection Modifications for the National Survey of Giving, Volunteering and Participating

The National Survey of Giving, Volunteering and Participating was administered to one randomly selected individual per household. The random selection was carried out after the LFS survey was completed .

Upon completion of the Labour Force Survey interview, the interviewer asked to speak to the randomly selected person for the National Survey of Giving, Volunteering and Participating. If the selected person was not available, the interviewer arranged for a convenient time to phone back. Proxy response was not allowed, hence the collection period was extended until December to allow the interviewers time to contact the pre- selected individuals.

Further sub-sampling was carried out on respondents who were not volunteers. After completion of the first set of NSGVP questions relating to volunteer activities, respondents who were not volunteers had a 65% chance of being dropped from the survey which was determined by a pre-programmed random selection process. Consequently, 13,449 respondents who were not volunteers were screened out of the survey. While these respondents were used in calculating the response rates, they are not included in the final data file.

6.5	Non-Response to the National Survey of Giving, Volunteering and Participating

For households responding to the LFS (40,236 of 44,612 households), the next stage of data collection was to administer the National Survey of Giving, Volunteering and Participating. In total, 40,236 households (in which one individual was selected) were eligible for the supplementary survey while 4,376 households were non-responses to the LFS and thus were not contacted for the NSGVP. The National Survey of Giving, Volunteering and Participating interview was completed for 28,173 of these individuals for a collection response rate of 70.0%. The overall response rate (response over all sampled households (response or non-response)) is 63.2%. Of those who responded to NSGVP, 13,449 non-volunteers were screened out of the survey. More detailed information on response rates is presented in Chapter 8 (Data Quality).

7.0	Data Processing

The main output of the National Survey of Giving, Volunteering and Participating is a "clean" microdata file. This section presents a brief summary of the processing steps involved in producing this file.

7.1	Editing

The first stage of survey processing undertaken at head office was the replacement of any 'out-of-range' values on the data file with blanks. This process was designed to make further editing easier.

The first type of error treated was errors in questionnaire flow, where questions which did not apply to the respondent (and should therefore not have been answered) were found to contain answers. In this case a computer edit automatically eliminated superfluous data by following the flow of the questionnaire implied by answers to previous, and in some cases, subsequent questions.

The second type of error treated involved a lack of information in questions which should have been answered. For this type of error, a non-response or "not-stated" code was assigned to the item except for certain cases where an imputation process was used to derive a value. This is discussed in more details in section 7.3.

7.2	Coding of Open-ended Questions

A few data items on the questionnaire were recorded by interviewers in an open-ended format. A total of four partially or completely open-ended questions were included in the survey. These were items relating to organization information for which an individual volunteered or to whom an individual made a donation. An "Other, specify" category was asked for type of volunteer activity, how first became a volunteer, type of employer support received for volunteering, skills gained by volunteering, other type of informal volunteering, other type of donations made, country of birth, ethnicity, and religious affiliation.

Open-ended questions relating to organization information was used to classify organizations into categories based on the International Classification for Non-Profit Organizations (ICNPO) structure. Please see section 4.2 for further details on organization classification.

For open-ended questions relating to "Other, specify" categories, the text was coded back to an existing category, where one existed. In cases, where there was a high enough frequency, another category was created and "Other, specify's" were coded to a newly created category.

7.3	Imputation

Imputation is the process that supplies valid values for those variables that have been identified for a change either because of invalid information or because of missing information. The new values should be supplied in such a way as to preserve the underlying structure of the data and to ensure that the resulting records will pass all required edits. In other words, the objective is not to reproduce the true micro-data values, but rather to establish internally consistent data records that yield good aggregate estimates.

We can distinguish between three types of non-response. Complete non-response is when the respondent quits the interview before the minimum set of questions was answered. These records are reweighted. Partial non-response is when the respondent quits the interview after the minimum set of questions was answered. The rest of the questionnaire is filled using other respondent's information and this process is described later. Finally there is item non-response when the respondent does not provide an answer to one question, but goes on to the next question.

All imputations involved donors that were selected using a score function. For each item non-response or partial non-response records (also called recipient records), we compared certain characteristics to characteristics from all the donors. When the characteristics were the same between a donor and the recipient, a value was added to the score of that donor. The donor with the highest score was deemed the "closest" donor and was chosen to fill in missing pieces of information of the non-respondents. If there was more than one donor with the highest score, a random selection occurred. The pool of donors was made up in such a way that the imputed value assigned to the recipient, in conjunction with other non-imputed items from the recipient would still pass the edits.

Imputation was done in five independent steps. The first step was to impute both personal and household income on the MAIN file (see section 12 for file structure). The second step was to impute the volunteer-related variables (months of volunteering or number of weeks volunteering, number of hours volunteered, etc…) on the VD file. The third step was to impute on the MAIN file the number of organizations volunteered for and the number of additional hours volunteered for organizations in cases where more than three organizations are reported (only the details of the three most important organizations (in terms of hours volunteered) are found on the VD file). The fourth step was to impute the variables related to amount donated on the GS file. The last step was to impute partially completed records on the MAIN file (partial non-response cases). In order to be kept on the final file, each respondent had to complete at least the volunteering section of the questionnaire. A number of respondents stopped filling in the questionnaire after this stage and the rest of their questionnaire was imputed for a total of 158 different variables. Further information on the imputation process is given in the data quality section.

7.4	Creation of Derived Variables

A number of data items on the microdata file have been derived by combining items on the questionnaire in order to facilitate data analysis. Most derived variable names have a 'D' in the fourth character position of the name. Some of the derived variables have been grouped for ease of use and are referred to as grouped variables which have a 'G' in the fourth character position of the name.

Examples of derived variables include: total number of volunteer events and total hours volunteered for the 12 organization types (derived from the VD file and put on the MAIN file); total number of donations and total amount of donations for the 12 organization types (derived from the GS file and put on the MAIN file);and total number of donations and total amount of donations by solicitation method (derived from the GS file and put on the MAIN file).

In general, a derived variable was not calculated if any part of the equation was not answered (e.g., don't know, refusal, and not stated). In these cases the code assigned to the derived variable was "not stated".

7.5	Weighting

The principle behind estimation in a probability sample such as the LFS is that each person in the sample "represents", besides himself or herself, several other persons not in the sample. For example, in a simple random 2% sample of the population, each person in the sample represents 50 persons in the population.

The weighting phase is a step which calculates, for each record, what this number is. This weight appears on the microdata file, and must be used to derive meaningful estimates from the survey. For example, if the number of individuals who volunteered during the past 12 months is to be estimated, it is done by selecting the records referring to those individuals in the sample with that characteristic and summing the weights entered on those records.

Details of the method used to calculate these weights are presented in Chapter 11.

7.6	Suppression of Confidential Information

It should be noted that the 'Public Use' microdata files described above differ in a number of important respects from the survey 'master' files held by Statistics Canada. These differences are the result of actions taken to protect the anonymity of individual survey respondents. Users requiring access to information excluded from the microdata files may purchase custom tabulations. Estimates generated will be released to the user, subject to meeting the guidelines for analysis and release outlined in Section 9 of this document.

Province - Suppression of Geographic Identifiers

The survey master data file includes explicit geographic identifiers for province, economic region and Census Metropolitan Area. It is also possible to obtain, where sample sizes permit, estimates by urban size class. The survey public-use microdata files do not contain any geographic identifiers below the provincial level.

8.0	Data Quality

8.1	Response Rates

The following table summarizes the response rates to the Labour Force Survey and to the National Survey of Giving, Volunteering and Participating.

LFS sample	LFS response

LFS response rate	NSGVP sample	NSGVP

response rate	NSGVP overall response

rate	NSGVP records kept
Newfoundland	1,628	1,474	90.5%	1,083	73.5%	66.5%	593
Prince Edward Island	1,222	1,085	88.8%	778	71.7%	63.7%	437
Nova Scotia	2,946	2,668	90.6%	1,941	72.8%	65.9%	1,056
New Brunswick	2,589	2,359	91.1%	1,742	73.8%	67.3%	895
Québec	8,876	7,983	89.9%	5,588	70.0%	63.0%	2,368
Ontario	13,102	11,764	89.8%	8,572	72.9%	65.4%	4,520
Manitoba	3,199	2,910	91.0%	2,022	69.5%	63.2%	1,175
Saskatchewan	3,393	3,120	92.0%	2,247	72.0%	66.2%	1,351
Alberta	3,520	3,101	88.1%	1,979	63.8%	56.2%	1,189
British Columbia	4,137	3,772	91.2%	2,221	58.9%	53.7%	1,140
CANADA	44,612	40,236	90.2%	28,173	70.0%	63.2%	14,724

Note:	LFS counts are in terms of households while NSGVP counts are in terms of selected individuals within households (only one individual is selected per household). The NSGVP sample column includes rejected non-volunteer while the NSGVP records kept column excludes them. The NSGVP overall response rate is based on all LFS sampled records including LFS non-respondents.

8.2	Survey Errors

The estimates derived from this survey are based on a sample of households. Somewhat different figures might have been obtained if a complete census had been taken using the same questionnaire, interviewers, supervisors, processing methods, etc. as those actually used. The difference between the estimates obtained from the sample and the results from a complete count taken under similar conditions is called the sampling error of the estimate.

Errors which are not related to sampling may occur at almost every phase of a survey operation. Interviewers may misunderstand instructions, respondents may make errors in answering questions, the answers may be incorrectly entered on the questionnaire and errors may be introduced in the processing and tabulation of the data. These are all examples of non-sampling errors.

Over a large number of observations, randomly occurring errors will have little effect on estimates derived from the survey. However, errors occurring systematically will contribute to biases in the survey estimates. Considerable time and effort was made to reduce non-sampling errors in the survey. Quality assurance measures were implemented at each step of the data collection and processing cycle to monitor the quality of the data. These measures included the use of highly skilled interviewers, extensive training of interviewers with respect to the survey procedures and questionnaire, observation of interviewers to detect problems of questionnaire design or misunderstanding of instructions, procedures to ensure that data capture errors were minimized and coding and edit quality checks to verify the processing logic.

8.2.1	The Frame

Because the National Survey of Giving, Volunteering and Participating was a supplement to the LFS, the frame used was the LFS frame. Any non-response to the LFS had an impact on the NSGVP frame. Because non-response to the LFS is quite low (usually less than 5%, but around 10% for the period of reference) this impact was minimal. The quality of the sampling variables in the frame was very high. The NSGVP sample consisted of five rotation groups from the LFS. No records were dropped due to missing rotation group number or any other type of sampling variable.

Note that the LFS frame excludes about 2% of all households in the 10 provinces of Canada. Therefore, the NSGVP frame also excludes the same proportion of households in the same geographical area. It is unlikely that this exclusion introduces any significant bias into the survey data.

8.2.2	Data Collection

Interviewer training consisted of reading the NSGVP Procedures Manual, Interviewers' Manual, practicing with the NSGVP training cases on the laptop computer, and discussing any questions with senior interviewers before the start of the survey. A description of the background and objectives of the survey was provided, as well as a glossary of terms and a set of questions and answers. Interviewers collected NSGVP information after the LFS information was collected. The collection period ran from the week of October 16th to December 8th, 2001.

8.2.3	Data Processing

During processing of the data, 26 NSGVP records did not match to corresponding records in the LFS. Thus they were coded as out-of-scope and were dropped from further processing. When supplementary survey records do not match to host survey records they must be dropped since a weight cannot be derived for them.

Some records were discarded because they did not complete the first section of the questionnaire (about volunteering). There was 236 such records and these were coded as non-response.

Data processing of the NSGVP was done in a number of steps including verification, coding, editing, imputation, estimation, confidentiality, etc... At each step a picture of the output files is taken and an easy verification can be made comparing files at the current and previous step. This greatly improved the data processing stage.

8.2.4	Non-response

A major source of non-sampling errors in surveys is the effect of non-response on the survey results. The extent of non-response varies from partial non- response (failure to answer just one or some questions) to total non-response. Total non-response occurred because the interviewer was either unable to contact the respondent, no member of the household was able to provide the information, or the respondent refused to participate in the survey. Total non- response was handled by adjusting the weight of households who responded to the survey to compensate for those who did not respond.

In most cases, partial and item non-response to the survey occurred when the respondent did not understand or misinterpreted a question, refused to answer a question, or could not recall the requested information. In partial and item non- response cases, donor imputation was performed for certain variables as described in section 7.3. Most of these imputations were done in order to provide complete data enabling the calculation of totals (total number of hours and total number of amount given). Also, the imputation helped to keep records in sample even if part of the required information was not filled in by the respondent.

The imputation was done in five steps and was performed on the three files. The next table shows the rate of imputation by step:

Step 1

Income

Main	Step 2

Volunteer

VD	Step 3

Volunteer

Main	Step 4

Giver

GS	Step 5

Partial records

Main
Imputed	6,215	1,409	276	13,394	1,403
Total	14,724	13,067	14,724	56,280	14,724
Rate	46%	11%	2%	24%	10%

The 2000 NSGVP imputation process worked well and helped to fill incomplete responses with the experience of other respondents with similar or identical characteristics. This will add to the number of units used in any analysis performed by researchers.

Note that the public use microdata file does not contain any of the imputation flags. This also protects the confidentiality of respondents participating in the survey.

8.2.5	Measurement of sampling error

Since it is an unavoidable fact that estimates from a sample survey are subject to sampling error, sound statistical practice calls for researchers to provide users with some indication of the magnitude of this sampling error. This section of the documentation outlines the measures of sampling error which Statistics Canada commonly uses and which it urges users producing estimates from this microdata file to use also.

The basis for measuring the potential size of sampling errors is the standard error of the estimates derived from survey results.

However, because of the large variety of estimates that can be produced from a survey, the standard error of an estimate is usually expressed relative to the estimate to which it pertains. This resulting measure, known as the coefficient of variation (CV) of an estimate, is obtained by dividing the standard error of the estimate by the estimate itself and is expressed as a percentage of the estimate.

For example, suppose that, based upon the survey results, one estimates that 80.9% of Canadian volunteers did so in order to use their skills and experience, and this estimate is found to have standard error of .009. Then the coefficient of variation of the estimate is calculated as :

9.0	Guidelines for Tabulation, Analysis and Release

This section of the documentation outlines the guidelines to be adhered to by users tabulating, analyzing, publishing or otherwise releasing any data derived from the survey microdata tapes. With the aid of these guidelines, users of microdata should be able to produce the same figures as those produced by Statistics Canada and, at the same time, will be able to develop currently unpublished figures in a manner consistent with these established guidelines.

9.1	Rounding Guidelines

In order that estimates for publication or other release derived from these microdata tapes correspond to those produced by Statistics Canada, users are urged to adhere to the following guidelines regarding the rounding of such estimates:

a)	Estimates in the main body of a statistical table are to be rounded to the nearest hundred units using the normal rounding technique. In normal rounding, if the first or only digit to be dropped is 0 to 4, the last digit to be retained is not changed. If the first or only digit to be dropped is 5 to 9, the last digit to be retained is raised by one. For example, in normal rounding to the nearest 100, if the last two digits are between 00 and 49, they are changed to 00 and the preceding digit (the hundreds digit) is left unchanged. If the last digits are between 50 and 99 they are changed to 00 and the preceding digit is incremented by 1.

b)	Marginal sub-totals and totals in statistical tables are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units using normal rounding.

c)	Averages, proportions, rates and percentages are to be computed from unrounded components (i.e. numerators and/or denominators) and then are to be rounded themselves to one decimal using normal rounding. In normal rounding to a single digit, if the final or only digit to be dropped is 0 to 4, the last digit to be retained is not changed. If the first or only digit to be dropped is 5 to 9, the last digit to be retained is increased by 1.

d)	Sums and differences of aggregates (or ratios) are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units (or the nearest one decimal) using normal rounding.

e)	In instances where, due to technical or other limitations, a rounding technique other than normal rounding is used resulting in estimates to be published or otherwise released which differ from corresponding estimates published by Statistics Canada, users are urged to note the reason for such differences in the publication or release document(s).

f)	Under no circumstances are unrounded estimates to be published or otherwise released by users. Unrounded estimates imply greater precision than actually exists.

9.2	Sample Weighting Guidelines for Tabulation

The sample design used for the National Survey of Giving, Volunteering and Participating was not self-weighting. When producing simple estimates, including the production of ordinary statistical tables, users must apply the proper sampling weight.

If proper weights are not used, the estimates derived from the microdata tapes cannot be considered to be representative of the survey population, and will not correspond to those produced by Statistics Canada.

Users should also note that some software packages may not allow the generation of estimates that exactly match those available from Statistics Canada, because of their treatment of the weight field.

9.3	Definitions of types of estimates: Categorical vs. Quantitative

Before discussing how the National Survey of Giving, Volunteering and Participating data can be tabulated and analyzed, it is useful to describe the two main types of point estimates of population characteristics which can be generated from the microdata file for the National Survey of Giving, Volunteering and Participating.

9.3.1	Categorical Estimates

Categorical estimates are estimates of the number, or percentage of the surveyed population possessing certain characteristics or falling into some defined category. The number of Canadians who volunteered or the number of Canadians who made financial donations are examples of such estimates. An estimate of the number of persons possessing a certain characteristic may also be referred to as an estimate of an aggregate.

Examples of Categorical Questions:

Q:	In the past 12 months, as an unpaid volunteer for an organization did you provide information or help to educate, influence public opinion or lobby others?:

R:	Yes / No

Q:	In the past 12 months, have you made a charitable donation by responding to a request through the mail?

R:	Yes/ No

Quantitative Estimates

Quantitative estimates are estimates of totals or of means, medians and other measures of central tendency of quantities based upon some or all of the members of the surveyed population. They also specifically involve estimates of the form / where is an estimate of surveyed population quantity total and is an estimate of the number of persons in the surveyed population contributing to that total quantity.

An example of a quantitative estimate is the average hours volunteered by volunteers. The numerator is an estimate of the total number of hours volunteered, and its denominator is the number of persons who volunteered.

Examples of Quantitative Questions :

Q:	How many hours per week did you usually volunteer for this organization?

R:	|_|_| hours

Q:	What was the amount of this donation?

R:	|_|_|_|_|_| dollars

9.3.2	Tabulation of Categorical Estimates

Estimates of the number of people with a certain characteristic can be obtained from the microdata file by summing the final weights of all records possessing the characteristic(s) of interest. Proportions and ratios of the form / are obtained by:

(a)	summing the final weights of records having the characteristic of interest (),

(b)	summing the final weights of records the proportion is based on (), then

(c)	dividing estimate (a) by estimate (b).

9.3.3	Tabulation of Quantitative Estimates

Estimates of quantities can be obtained from the microdata file by multiplying the value of the variable of interest by the final weight for each record, then summing this quantity over all records of interest. For example, to obtain an estimate of the total number of hours volunteered by those aged 65 and over, multiply the value reported in VD1DHRS (hours volunteered) by the final weight for the record, then sum this value over all records with DH1DAGE=6 (age group 65 and over).

To obtain a weighted average of the form /, the numerator () is calculated as for a quantitative estimate and the denominator () is calculated as for a categorical estimate. For example, to estimate the average number of hours volunteered by those 65 years of age and older:

(a)	estimate the total number of hours volunteered as described above,

(b)	estimate the number of people in this category by summing the final weights of all records with DH1DAGE=6, then

(c)	divide estimate (a) by estimate (b).

9.4	Guidelines for Statistical Analysis

The National Survey of Giving, Volunteering and Participating is based upon a complex sample design, with stratification, multiple stages of selection, and unequal probabilities of selection of respondents. Using data from such complex surveys presents problems to analysts because the survey design and the selection probabilities affect the estimation and variance calculation procedures that should be used. In order for survey estimates and analyses to be free from bias, the survey weights must be used.

While many analysis procedures found in statistical packages allow weights to be used, the meaning or definition of the weight in these procedures differ from that which is appropriate in a sample survey framework, with the result that while in many cases the estimates produced by the packages are correct, the variances that are calculated are poor. Variances for simple estimates such as totals, proportions and ratios (for qualitative variables) are provided in the accompanying Approximate Sampling Variability Tables.

For other analysis techniques (for example linear regression, logistic regression and analysis of variance), a method exists which can make the variances calculated by the standard packages more meaningful, by incorporating the unequal probabilities of selection. The method rescales the weights so that there is an average weight of 1.

For example, suppose that analysis of all male respondents is required. The steps to rescale the weights are as follows:

-	select all respondents from the file who reported SEX=male

-	Calculate the AVERAGE weight for these records by summing the original person weights from the microdata file for these records and then dividing by the number of respondents who reported SEX=male

-	for each of these respondents, calculate a RESCALED weight equal to the original person weight divided by the AVERAGE weight

-	perform the analysis for these respondents using the RESCALED weight.

However, because the stratification and clustering of the sample's design are still not taken into account, the variance estimates calculated in this way are likely to be under- estimates.

The calculation of truly meaningful variance estimates requires detailed knowledge of the design of the survey. Such detail cannot be given in this microdata file because of confidentiality. Variances that take the complete sample design into account can be calculated for many statistics by Statistics Canada on a cost recovery basis.

9.5	C.V. Release Guidelines

Before releasing and/or publishing any estimate from the National Survey of Giving, Volunteering and Participating, users should first determine the quality level of the estimate. The quality levels are acceptable, marginal and unacceptable. Data quality is affected by both sampling and non-sampling errors as discussed in section 8. However for this purpose, the quality level of an estimate will be determined only on the basis of sampling error as reflected by the coefficient of variation as shown in the table below. Nonetheless users should be sure to read section 8 to be more fully aware of the quality characteristics of these data.

First, the number of respondents who contribute to the calculation of the estimate should be determined. If this number is less than 30, the weighted estimate should be considered to be of unacceptable quality. For weighted estimates based on sample sizes of 30 or more, users should determine the coefficient of variation of the estimate and follow the guidelines below. These quality level guidelines should be applied to weighted rounded estimates.

All estimates can be considered releasable. However, those of marginal or unacceptable quality level must be accompanied by a warning to caution subsequent users.

Quality Level Guidelines

Quality Level of Estimate	Guidelines
1. Acceptable	Estimates have:

a sample size of 30 or more; and

low coefficients of variation in the range 0.0% - 16.5%

No warning is required.
2. Marginal	Estimates have:

a sample size of 30 or more; and

high coefficients of variation in the range 16.6% - 33.3%.

Estimates should be flagged with the letter M (or some similar identifier). They should be accompanied by a warning to caution subsequent users about the high levels of error, associated with the estimates.
3. Unacceptable	Estimates have:

a sample size of less than 30;

or very high coefficients of variation in excess of 33.3%.

Statistics Canada recommends not to release estimates of unacceptable quality. However, if the user chooses to do so then estimates should be flagged with the letter U (or some similar identifier) and the following warning should accompany the estimates:

"The user is advised that . . . (specify the data) . . . do not meet Statistics Canada's quality standards for this statistical program. Conclusions based on these data will be unreliable, and most likely invalid. These data and any consequent findings should not be published. If the user chooses to publish these data or findings, then this disclaimer must be published with the data."

10.0	Approximate Sampling Variability Tables

In order to supply coefficients of variation which would be applicable to a wide variety of categorical estimates produced from this microdata file and which could be readily accessed by the user, a set of Approximate Sampling Variability Tables has been produced. These CV tables allow the user to obtain an approximate coefficient of variation based on the size of the estimate calculated from the survey data.

The coefficients of variation (CV) are derived using the variance formula for simple random sampling and incorporating a factor which reflects the multi-stage, clustered nature of the sample design. This factor, known as the design effect, was determined by first calculating design effects for a wide range of characteristics and then choosing from among these a conservative value to be used in the look-up tables which would then apply to the entire set of characteristics.

The table below shows the conservative value of the design effects, sample sizes and population counts by province which were used to produce the Approximate Sampling Variability Tables.

PROVINCE	DESIGN EFFECT	SAMPLE SIZE	POPULATION
Newfoundland	1.7	593	439,794
Prince Edward Island	1.8	437	109,944
Nova Scotia	2.0	1,056	749,927
New Brunswick	1.7	895	604,505
Quebec	2.8	2,368	5,947,590
Ontario	2.7	4,520	9,329,190
Manitoba	2.0	1,175	860,303
Saskatchewan	1.8	1,351	763,745
Alberta	2.0	1,189	2,329,405
British Columbia	1.9	1,140	3,248,804
Canada	3.1	14,724	24,383,207

All coefficients of variation in the Approximate Sampling Variability Tables are approximate and, therefore, unofficial. Estimates of actual variance for specific variables may be obtained from Statistics Canada on a cost-recovery basis. Since the approximate CV is conservative, the use of actual variance estimates would allow users to switch from one quality level to an other. For instance a marginal estimate could become acceptable based on the exact CV calculation.

Remember: If the number of observations on which an estimate is based is less than 30, the weighted estimate is most likely unacceptable and Statistics Canada recommends not to release such an estimate, regardless of the value of the coefficient of variation.

10.1	How to use the CV tables for Categorical Estimates

The following rules should enable the user to determine the approximate coefficients of variation from the Sampling Variability Tables for estimates of the number, proportion or percentage of the surveyed population possessing a certain characteristic and for ratios and differences between such estimates.

Rule 1:	Estimates of Numbers Possessing a Characteristic (Aggregates)

The coefficient of variation depends only on the size of the estimate itself. On the CV table for the appropriate geographic area, locate the estimated number in the left-most column of the table (headed "Numerator of Percentage") and follow the asterisks (if any) across to the first figure encountered. This figure is the approximate coefficient of variation.

Rule 2:	Estimates of Proportions or Percentages Possessing a Characteristic

The coefficient of variation of an estimated proportion or percentage depends on both the size of the proportion or percentage and the size of the total upon which the proportion or percentage is based. Estimated proportions or percentages are relatively more reliable than the corresponding estimates of the numerator of the proportion or percentage, when the proportion or percentage is based upon a sub-group of the population. For example, the proportion of volunteers is more reliable than the estimated number of volunteers. (Note that in the tables the cv's decline in value reading from left to right).

When the proportion or percentage is based upon the total population of the geographic area covered by the table, the cv of the proportion or percentage is the same as the cv of the numerator of the proportion or percentage. In this case, Rule 1 can be used.

When the proportion or percentage is based upon a subset of the total population (e.g. those in a particular sex or age group), reference should be made to the proportion or percentage (across the top of the table) and to the numerator of the proportion or percentage (down the left side of the table). The intersection of the appropriate row and column gives the coefficient of variation.

Rule 3:	Estimates of Differences Between Aggregates or Percentages

The standard error of a difference between two estimates is approximately equal to the square root of the sum of squares of each standard error considered separately. That is, the standard error of a difference ( = 1 - 2) is:

where 1 is estimate 1, 2 is estimate 2, and 1 and 2 are the coefficients of variation of 1 and 2 respectively. The coefficient of variation of is given by /. This formula is accurate for the difference between separate and uncorrelated characteristics, but is only approximate otherwise.

Rule 4:	Estimates of Ratios

In the case where the numerator is a subset of the denominator, the ratio should be converted to a percentage and Rule 2 applied. This would apply, for example, to the case where the denominator is the number of volunteers and the numerator is the number of volunteers who are employed.

In the case where the numerator is not a subset of the denominator, as for example, the ratio of the number of full-time paid workers who volunteered as compared to the number of part-time paid workers who volunteered in the reference year, the standard deviation of the ratio of the estimates is approximately equal to the square root of the sum of squares of each coefficient of variation considered separately multiplied by R. That is, the standard error of a ratio ( = 1 / 2) is:

where 1 and 2 are the coefficients of variation of 1 and 2 respectively. The coefficient of variation of is given by /. The formula will tend to overstate the error, if 1 and 2 are positively correlated and understate the error if 1 and 2 are negatively correlated.

Rule 5:	Estimates of Differences of Ratios

In this case, Rules 3 and 4 are combined. The cv's for the two ratios are first determined using Rule 4, and then the cv of their difference is found using Rule 3.

10.1.1	Examples of using the C.V. tables for Categorical Estimates

The following 'real life' examples are included to assist users in applying the foregoing rules.

Example 1 :	Estimates of Numbers Possessing a Characteristic (Aggregates)

Suppose that a user estimates that 3,023,581 men were volunteers in the reference period. How does the user determine the coefficient of variation of this estimate?

(1)	Refer to the cv table for CANADA.

(2)	The estimated aggregate (3,023,581) does not appear in the left-hand column (the 'Numerator of Percentage' column), so it is necessary to use the figure closest to it, namely 3,000,000.

(3)	The coefficient of variation for an estimated aggregate is found by referring to the first non-asterisk entry on that row, namely, 3.8%.

(4)	So the approximate coefficient of variation of the estimate is 3.8%.

The finding that 3,023,581 men (to be rounded according to the rounding guidelines in section 9.1) were volunteers in the reference period is publishable with no qualifications.

Example 2 :	Estimates of Proportions or Percentages Possessing a Characteristic

Suppose that the user estimates that 912,534/3,023,581=30.2% of men who volunteer were a teacher or a coach for an organization in the reference period. How does the user determine the coefficient of variation of this estimate?

(1)	Refer to the table for CANADA.

(2)	Because the estimate is a percentage which is based on a subset of the total population (i.e. men who are volunteers), it is necessary to use both the percentage (30.2%) and the numerator portion of the percentage (912,534) in determining the coefficient of variation.

(3)	The numerator, 912,534, does not appear in the left-hand column (the 'Numerator of Percentage' column) so it is necessary to use the figure closer to it, namely 1,000,000. Similarly, the percentage estimate does not appear as any of the column headings, so it is necessary to use the figure closest to it, 30.0%.

(4)	The figure at the intersection of the row and column used, namely 6.0% is the coefficient of variation to be used.

(5)	So the approximate coefficient of variation of the estimate is 6.0%. The finding that 30.2% of men who volunteer were a teacher or a coach for an organization can be published with no qualifications.

Example 3 :	Estimates of Differences Between Aggregates or Percentages

Suppose that a user estimates that 837,955/3,488,086=24.0% of women who volunteer were a teacher or a coach for an organization, while 30.2% of men do the same thing. How does the user determine the coefficient of variation of the difference between these two estimates?

(1)	Using the CANADA cv table in the same manner as described in example 2 gives the cv of the estimate for women as 7.1%, and the cv of the estimate for men was 6.0%.

(2)	Using rule 3, the standard error of a difference ( = 1 - 2) is:

where 1 is estimate 1, 2 is estimate 2, and 1 and 2 are the coefficients of variation of 1 and 2 respectively.

That is, the standard error of the difference = (0.302-0.240) = .062 is:

(3)	The coefficient of variation of is given by / = .025/.062 = 0.403.

(4)	So the approximate coefficient of variation of the difference between the estimates is 40.3%. This estimate can not be released under any circumstances and should be deleted and replaced by dashes.

Example 4 :	Estimates of Ratios

Suppose that the user estimates that 837,955 women who volunteer were a teacher or a coach for an organization, while 912,534 men who volunteer were a teacher or a coach for an organization. The user is interested in comparing the estimate of women versus that of men in the form of a ratio. How does the user determine the coefficient of variation of this estimate?

(1)	First of all, this estimate is a ratio estimate, where the numerator of the estimate (= 1 ) is the number of women who volunteer that were a teacher or a coach for an organization. The denominator of the estimate (= 2 ) is the number of men who volunteer that were a teacher or a coach for an organization.

(2)	Refer to the table for CANADA.

(3)	The numerator of this ratio estimate is 837,955. The figure closest to it is 750,000. The coefficient of variation for this estimate is found by referring to the first non-asterisk entry on that row, namely, 8.0%.

(4)	The denominator of this ratio estimate is 912,534. The figure closest to it is 1,000,000. The coefficient of variation for this estimate is found by referring to the first non-asterisk entry on that row, namely, 6.9%.

(5)	So the approximate coefficient of variation of the ratio estimate is given by rule 4, which is,

where 1 and 2 are the coefficients of variation of 1 and 2 respectively.

That is,

The obtained ratio of women versus men volunteer that were a teacher or a coach for an organization is 837,955/912,534 which is 0.92:1. The coefficient of variation of this estimate is 10.6%, which is releasable with no qualifications.

10.2	How to use the C.V. tables to obtain Confidence Limits

Although coefficients of variation are widely used, a more intuitively meaningful measure of sampling error is the confidence interval of an estimate. A confidence interval constitutes a statement on the level of confidence that the true value for the population lies within a specified range of values. For example a 95% confidence interval can be described as follows:

If sampling of the population is repeated indefinitely, each sample leading to a new confidence interval for an estimate, then in 95% of the samples the interval will cover the true population value.

Using the standard error of an estimate, confidence intervals for estimates may be obtained under the assumption that under repeated sampling of the population, the various estimates obtained for a population characteristic are normally distributed about the true population value. Under this assumption, the chances are about 68 out of 100 that the difference between a sample estimate and the true population value would be less than one standard error, about 95 out of 100 that the difference would be less than two standard errors, and about 99 out 100 that the differences would be less than three standard errors. These different degrees of confidence are referred to as the confidence levels.

Confidence intervals for an estimate, , are generally expressed as two numbers, one below the estimate and one above the estimate, as (-k, +k) where k is determined depending upon the level of confidence desired and the sampling error of the estimate.

Confidence intervals for an estimate can be calculated directly from the CV tables by first determining from the appropriate table the coefficient of variation of the estimate , and then using the following formula to convert to a confidence interval CI:

where	is the determined coefficient of variation of , and

t = 1 if a 68% confidence interval is desired

t = 1.6 if a 90% confidence interval is desired

t = 2 if a 95% confidence interval is desired

t = 3 if a 99% confidence interval is desired.

Note:	Release guidelines which apply to the estimate also apply to the confidence interval. For example, if the estimate is not releasable, then the confidence interval is not releasable either.

10.2.1	Example of using the C.V. tables to obtain confidence limits

A 95% confidence interval for the estimated proportion of men who volunteer as a teacher or a coach for an organization in the reference period (from Example 2, section 10.1.1) would be calculated as follows.

=	30.2% (or expressed as a proportion = .302)

t =	2

=	6.0% (.060 expressed as a proportion) is the coefficient of variation of this estimate as determined from the tables.

CI =	{.302 - (2) (.302) (.060), .302+ (2) (.302) (.060)}

CI =	{.302 - .036, .302 + .036}

CI =	{.266, .338}

With 95% confidence it can be said that between 26.6% and 33.8% of men who volunteer were a teacher or a coach for an organization in the reference period.

10.3	How to use the C.V. tables to do a t-test

Standard errors may also be used to perform hypothesis testing, a procedure for distinguishing between population parameters using sample estimates. The sample estimates can be numbers, averages, percentages, ratios, etc. Tests may be performed at various levels of significance, where a level of significance is the probability of concluding that the characteristics are different when, in fact, they are identical.

Let 1 and 2 be sample estimates for 2 characteristics of interest. Let the standard error on the difference 1 - 2 be .

If is between -2 and 2, then no conclusion about the difference between the characteristics is justified at the 5% level of significance. If however, this ratio is smaller than -2 or larger than +2, the observed difference is significant at the 0.05 level. That is to say that the characteristics are significant.

10.3.1	Example of using the C.V. tables to do a t-test

Let us suppose that the user wishes to test, at 5% level of significance, the hypothesis that there is no difference between the proportion of women who volunteer were a teacher or a coach for an organization and the proportion of men who volunteer were a teacher or a coach for an organization in the reference period. From example 3, section 10.2, the standard error of the difference between these two estimates was found to be = .025. Hence ,

Since t = -2.48 is less than -2, it must be concluded that there is a significant difference between the two estimates at the 0.05 level of significance.

10.4	Coefficients of Variation for Quantitative Estimates

For quantitative estimates, special tables would have to be produced to determine their sampling error. Since most of the variables for the National Survey of Giving, Volunteering and Participating are primarily categorical in nature, this has not been done.

As a general rule, however, the coefficient of variation of a quantitative total will be larger than the coefficient of variation of the corresponding category estimate (i.e. the estimate of the number of persons contributing to the quantitative estimate). If the corresponding category estimate is not releasable, the quantitative estimate will not be either. For example, the coefficient of variation of the total number of hours volunteered by men would be greater than the coefficient of variation of the corresponding proportion of men volunteers. Hence if the coefficient of variation of the proportion is not releasable, then the coefficient of variation of the corresponding quantitative estimate will also not be releasable.

Coefficients of variation of such estimates can be derived as required for a specific estimate using a technique known as pseudo replication. This involves dividing the records on the microdata files into subgroups (or replicates) and determining the variation in the estimate from replicate to replicate. Users wishing to derive coefficients of variation for quantitative estimates may contact Statistics Canada for advice on the allocation of records to appropriate replicates and the formulae to be used in these calculations.

10.5	Release cut-off's for the National Survey of Giving, Volunteering and Participating

The minimum size of the estimate at the provincial and Canada levels are specified in the table below.

Table of Release Cut-offs

Province	Unacceptable

Marginal	Acceptable
Newfoundland	under 11,000	11,000 to < 41,000	41,000 & over
Prince Edward Island	under 4,000	4,000 to <15,000	15,000 & over
Nova Scotia	under 13,000	13,000 to < 49,000	49,000 & over
New Brunswick	under 10,000	10,000 to < 39,000	39,000 & over
Quebec	under 64,000	64,000 to < 251,000	251,000 & over
Ontario	under 50,000	50,000 to < 201,000	201,000 & over
Manitoba	under 13,000	13,000 to < 51,000	51,000 & over
Saskatchewan	under 9,000	9,000 to < 36,000	36,000 & over
Alberta	under 35,000	35,00 to <134,000	134,000 & over
British Columbia	under 49,000	49,000 to < 190,000	190,000 & over
CANADA	under 46,000	46,000 to <185,000	185,000 & over

10.6	C.V. Tables

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Newfoundland

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 ******** 110.0 109.4 107.7 104.9 101.9 98.9 95.7 92.5 89.1 85.6 78.2 60.5 35.0

2 ******** 77.8 77.4 76.2 74.2 72.1 69.9 67.7 65.4 63.0 60.5 55.3 42.8 24.7

3 ******** 63.5 63.2 62.2 60.5 58.8 57.1 55.3 53.4 51.5 49.4 45.1 35.0 20.2

4 ******** 55.0 54.7 53.9 52.4 51.0 49.4 47.9 46.2 44.6 42.8 39.1 30.3 17.5

5 **************** 48.9 48.2 46.9 45.6 44.2 42.8 41.4 39.9 38.3 35.0 27.1 15.6

6 **************** 44.7 44.0 42.8 41.6 40.4 39.1 37.8 36.4 35.0 31.9 24.7 14.3

7 **************** 41.4 40.7 39.6 38.5 37.4 36.2 35.0 33.7 32.4 29.5 22.9 13.2

8 **************** 38.7 38.1 37.1 36.0 35.0 33.8 32.7 31.5 30.3 27.6 21.4 12.4

9 ************************ 35.9 35.0 34.0 33.0 31.9 30.8 29.7 28.5 26.1 20.2 11.7

10 ************************ 34.1 33.2 32.2 31.3 30.3 29.2 28.2 27.1 24.7 19.1 11.1

11 ************************ 32.5 31.6 30.7 29.8 28.9 27.9 26.9 25.8 23.6 18.3 10.5

12 ************************ 31.1 30.3 29.4 28.5 27.6 26.7 25.7 24.7 22.6 17.5 10.1

13 ************************ 29.9 29.1 28.3 27.4 26.6 25.7 24.7 23.7 21.7 16.8 9.7

14 ************************ 28.8 28.0 27.2 26.4 25.6 24.7 23.8 22.9 20.9 16.2 9.3

15 ************************ 27.8 27.1 26.3 25.5 24.7 23.9 23.0 22.1 20.2 15.6 9.0

16 ************************ 26.9 26.2 25.5 24.7 23.9 23.1 22.3 21.4 19.5 15.1 8.7

17 ************************ 26.1 25.4 24.7 24.0 23.2 22.4 21.6 20.8 19.0 14.7 8.5

18 ************************ 25.4 24.7 24.0 23.3 22.6 21.8 21.0 20.2 18.4 14.3 8.2

19 ************************ 24.7 24.1 23.4 22.7 22.0 21.2 20.4 19.6 17.9 13.9 8.0

20 ************************ 24.1 23.5 22.8 22.1 21.4 20.7 19.9 19.1 17.5 13.5 7.8

21 ************************ 23.5 22.9 22.2 21.6 20.9 20.2 19.4 18.7 17.1 13.2 7.6

22 ******************************** 22.4 21.7 21.1 20.4 19.7 19.0 18.3 16.7 12.9 7.5

23 ******************************** 21.9 21.3 20.6 20.0 19.3 18.6 17.9 16.3 12.6 7.3

24 ******************************** 21.4 20.8 20.2 19.5 18.9 18.2 17.5 16.0 12.4 7.1

25 ******************************** 21.0 20.4 19.8 19.1 18.5 17.8 17.1 15.6 12.1 7.0

30 ******************************** 19.1 18.6 18.1 17.5 16.9 16.3 15.6 14.3 11.1 6.4

35 ******************************** 17.7 17.2 16.7 16.2 15.6 15.1 14.5 13.2 10.2 5.9

40 ******************************** 16.6 16.1 15.6 15.1 14.6 14.1 13.5 12.4 9.6 5.5

45 **************************************** 15.2 14.7 14.3 13.8 13.3 12.8 11.7 9.0 5.2

50 **************************************** 14.4 14.0 13.5 13.1 12.6 12.1 11.1 8.6 4.9

55 **************************************** 13.7 13.3 12.9 12.5 12.0 11.5 10.5 8.2 4.7

60 **************************************** 13.2 12.8 12.4 11.9 11.5 11.1 10.1 7.8 4.5

65 **************************************** 12.6 12.3 11.9 11.5 11.1 10.6 9.7 7.5 4.3

70 ************************************************ 11.8 11.4 11.1 10.7 10.2 9.3 7.2 4.2

75 ************************************************ 11.4 11.1 10.7 10.3 9.9 9.0 7.0 4.0

80 ************************************************ 11.1 10.7 10.3 10.0 9.6 8.7 6.8 3.9

85 ************************************************ 10.7 10.4 10.0 9.7 9.3 8.5 6.6 3.8

90 ******************************************************** 10.1 9.7 9.4 9.0 8.2 6.4 3.7

95 ******************************************************** 9.8 9.5 9.1 8.8 8.0 6.2 3.6

100 ******************************************************** 9.6 9.2 8.9 8.6 7.8 6.1 3.5

125 **************************************************************** 8.3 8.0 7.7 7.0 5.4 3.1

150 ************************************************************************ 7.3 7.0 6.4 4.9 2.9

200 **************************************************************************************** 5.5 4.3 2.5

250 ************************************************************************************************ 3.8 2.2

300 ************************************************************************************************ 3.5 2.0

350 ******************************************************************************************************** 1.9

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for P.E.I.

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 ******** 66.6 66.3 65.3 63.5 61.7 59.9 58.0 56.0 54.0 51.9 47.4 36.7 21.2

2 **************** 46.9 46.2 44.9 43.7 42.4 41.0 39.6 38.2 36.7 33.5 25.9 15.0

3 ************************ 37.7 36.7 35.6 34.6 33.5 32.4 31.2 30.0 27.3 21.2 12.2

4 ************************ 32.6 31.8 30.9 30.0 29.0 28.0 27.0 25.9 23.7 18.3 10.6

5 ************************ 29.2 28.4 27.6 26.8 25.9 25.1 24.1 23.2 21.2 16.4 9.5

6 ******************************** 25.9 25.2 24.5 23.7 22.9 22.0 21.2 19.3 15.0 8.6

7 ******************************** 24.0 23.3 22.6 21.9 21.2 20.4 19.6 17.9 13.9 8.0

8 ******************************** 22.5 21.8 21.2 20.5 19.8 19.1 18.3 16.7 13.0 7.5

9 ******************************** 21.2 20.6 20.0 19.3 18.7 18.0 17.3 15.8 12.2 7.1

10 ******************************** 20.1 19.5 18.9 18.3 17.7 17.1 16.4 15.0 11.6 6.7

11 **************************************** 18.6 18.1 17.5 16.9 16.3 15.6 14.3 11.1 6.4

12 **************************************** 17.8 17.3 16.7 16.2 15.6 15.0 13.7 10.6 6.1

13 **************************************** 17.1 16.6 16.1 15.5 15.0 14.4 13.1 10.2 5.9

14 **************************************** 16.5 16.0 15.5 15.0 14.4 13.9 12.7 9.8 5.7

15 **************************************** 15.9 15.5 15.0 14.5 13.9 13.4 12.2 9.5 5.5

16 **************************************** 15.4 15.0 14.5 14.0 13.5 13.0 11.8 9.2 5.3

17 ************************************************ 14.5 14.1 13.6 13.1 12.6 11.5 8.9 5.1

18 ************************************************ 14.1 13.7 13.2 12.7 12.2 11.2 8.6 5.0

19 ************************************************ 13.7 13.3 12.9 12.4 11.9 10.9 8.4 4.9

20 ************************************************ 13.4 13.0 12.5 12.1 11.6 10.6 8.2 4.7

21 ************************************************ 13.1 12.7 12.2 11.8 11.3 10.3 8.0 4.6

22 ******************************************************** 12.4 11.9 11.5 11.1 10.1 7.8 4.5

23 ******************************************************** 12.1 11.7 11.3 10.8 9.9 7.6 4.4

24 ******************************************************** 11.8 11.4 11.0 10.6 9.7 7.5 4.3

25 ******************************************************** 11.6 11.2 10.8 10.4 9.5 7.3 4.2

30 **************************************************************** 10.2 9.9 9.5 8.6 6.7 3.9

35 ************************************************************************ 9.1 8.8 8.0 6.2 3.6

40 ******************************************************************************** 8.2 7.5 5.8 3.3

45 **************************************************************************************** 7.1 5.5 3.2

50 **************************************************************************************** 6.7 5.2 3.0

55 ************************************************************************************************ 4.9 2.9

60 ************************************************************************************************ 4.7 2.7

65 ************************************************************************************************ 4.5 2.6

70 ************************************************************************************************ 4.4 2.5

75 ************************************************************************************************ 4.2 2.4

80 ******************************************************************************************************** 2.4

85 ******************************************************************************************************** 2.3

90 ******************************************************************************************************** 2.2

95 ******************************************************************************************************** 2.2

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Nova Scotia

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 ******** 118.5 117.9 116.1 113.0 109.8 106.5 103.1 99.6 96.0 92.2 84.2 65.2 37.7

2 ******** 83.8 83.4 82.1 79.9 77.6 75.3 72.9 70.5 67.9 65.2 59.5 46.1 26.6

3 ******** 68.4 68.1 67.0 65.2 63.4 61.5 59.5 57.5 55.4 53.3 48.6 37.7 21.7

4 ******** 59.2 58.9 58.0 56.5 54.9 53.3 51.6 49.8 48.0 46.1 42.1 32.6 18.8

5 ******** 53.0 52.7 51.9 50.5 49.1 47.6 46.1 44.6 42.9 41.3 37.7 29.2 16.8

6 ******** 48.4 48.1 47.4 46.1 44.8 43.5 42.1 40.7 39.2 37.7 34.4 26.6 15.4

7 ******** 44.8 44.6 43.9 42.7 41.5 40.3 39.0 37.7 36.3 34.9 31.8 24.7 14.2

8 **************** 41.7 41.0 39.9 38.8 37.7 36.5 35.2 33.9 32.6 29.8 23.1 13.3

9 **************** 39.3 38.7 37.7 36.6 35.5 34.4 33.2 32.0 30.7 28.1 21.7 12.6

10 **************** 37.3 36.7 35.7 34.7 33.7 32.6 31.5 30.4 29.2 26.6 20.6 11.9

11 **************** 35.5 35.0 34.1 33.1 32.1 31.1 30.0 28.9 27.8 25.4 19.7 11.4

12 **************** 34.0 33.5 32.6 31.7 30.7 29.8 28.8 27.7 26.6 24.3 18.8 10.9

13 **************** 32.7 32.2 31.3 30.5 29.5 28.6 27.6 26.6 25.6 23.4 18.1 10.4

14 **************** 31.5 31.0 30.2 29.3 28.5 27.6 26.6 25.7 24.7 22.5 17.4 10.1

15 ************************ 30.0 29.2 28.3 27.5 26.6 25.7 24.8 23.8 21.7 16.8 9.7

16 ************************ 29.0 28.2 27.4 26.6 25.8 24.9 24.0 23.1 21.1 16.3 9.4

17 ************************ 28.2 27.4 26.6 25.8 25.0 24.2 23.3 22.4 20.4 15.8 9.1

18 ************************ 27.4 26.6 25.9 25.1 24.3 23.5 22.6 21.7 19.8 15.4 8.9

19 ************************ 26.6 25.9 25.2 24.4 23.7 22.9 22.0 21.2 19.3 15.0 8.6

20 ************************ 26.0 25.3 24.6 23.8 23.1 22.3 21.5 20.6 18.8 14.6 8.4

21 ************************ 25.3 24.7 24.0 23.2 22.5 21.7 21.0 20.1 18.4 14.2 8.2

22 ************************ 24.7 24.1 23.4 22.7 22.0 21.2 20.5 19.7 18.0 13.9 8.0

23 ************************ 24.2 23.6 22.9 22.2 21.5 20.8 20.0 19.2 17.6 13.6 7.9

24 ************************ 23.7 23.1 22.4 21.7 21.1 20.3 19.6 18.8 17.2 13.3 7.7

25 ************************ 23.2 22.6 22.0 21.3 20.6 19.9 19.2 18.4 16.8 13.0 7.5

30 ************************ 21.2 20.6 20.0 19.4 18.8 18.2 17.5 16.8 15.4 11.9 6.9

35 ************************ 19.6 19.1 18.6 18.0 17.4 16.8 16.2 15.6 14.2 11.0 6.4

40 ******************************** 17.9 17.4 16.8 16.3 15.8 15.2 14.6 13.3 10.3 6.0

45 ******************************** 16.8 16.4 15.9 15.4 14.9 14.3 13.8 12.6 9.7 5.6

50 ******************************** 16.0 15.5 15.1 14.6 14.1 13.6 13.0 11.9 9.2 5.3

55 ******************************** 15.2 14.8 14.4 13.9 13.4 12.9 12.4 11.4 8.8 5.1

60 ******************************** 14.6 14.2 13.8 13.3 12.9 12.4 11.9 10.9 8.4 4.9

65 ******************************** 14.0 13.6 13.2 12.8 12.4 11.9 11.4 10.4 8.1 4.7

70 ******************************** 13.5 13.1 12.7 12.3 11.9 11.5 11.0 10.1 7.8 4.5

75 **************************************** 12.7 12.3 11.9 11.5 11.1 10.7 9.7 7.5 4.3

80 **************************************** 12.3 11.9 11.5 11.1 10.7 10.3 9.4 7.3 4.2

85 **************************************** 11.9 11.6 11.2 10.8 10.4 10.0 9.1 7.1 4.1

90 **************************************** 11.6 11.2 10.9 10.5 10.1 9.7 8.9 6.9 4.0

95 **************************************** 11.3 10.9 10.6 10.2 9.9 9.5 8.6 6.7 3.9

100 **************************************** 11.0 10.7 10.3 10.0 9.6 9.2 8.4 6.5 3.8

125 ************************************************ 9.5 9.2 8.9 8.6 8.3 7.5 5.8 3.4

150 ******************************************************** 8.4 8.1 7.8 7.5 6.9 5.3 3.1

200 **************************************************************** 7.0 6.8 6.5 6.0 4.6 2.7

250 ************************************************************************ 6.1 5.8 5.3 4.1 2.4

300 **************************************************************************************** 4.9 3.8 2.2

350 **************************************************************************************** 4.5 3.5 2.0

400 ************************************************************************************************ 3.3 1.9

450 ************************************************************************************************ 3.1 1.8

500 ************************************************************************************************ 2.9 1.7

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for New Brunswick

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 ******** 105.0 104.4 102.8 100.1 97.3 94.4 91.4 88.3 85.0 81.7 74.6 57.8 33.4

2 ******** 74.2 73.8 72.7 70.8 68.8 66.7 64.6 62.4 60.1 57.8 52.7 40.9 23.6

3 ******** 60.6 60.3 59.4 57.8 56.2 54.5 52.7 51.0 49.1 47.2 43.1 33.4 19.3

4 ******** 52.5 52.2 51.4 50.0 48.6 47.2 45.7 44.1 42.5 40.9 37.3 28.9 16.7

5 ******** 46.9 46.7 46.0 44.8 43.5 42.2 40.9 39.5 38.0 36.5 33.4 25.8 14.9

6 ******** 42.8 42.6 42.0 40.9 39.7 38.5 37.3 36.0 34.7 33.4 30.5 23.6 13.6

7 **************** 39.5 38.9 37.8 36.8 35.7 34.5 33.4 32.1 30.9 28.2 21.8 12.6

8 **************** 36.9 36.4 35.4 34.4 33.4 32.3 31.2 30.1 28.9 26.4 20.4 11.8

9 **************** 34.8 34.3 33.4 32.4 31.5 30.5 29.4 28.3 27.2 24.9 19.3 11.1

10 **************** 33.0 32.5 31.6 30.8 29.8 28.9 27.9 26.9 25.8 23.6 18.3 10.5

11 **************** 31.5 31.0 30.2 29.3 28.4 27.5 26.6 25.6 24.6 22.5 17.4 10.1

12 **************** 30.1 29.7 28.9 28.1 27.2 26.4 25.5 24.6 23.6 21.5 16.7 9.6

13 ************************ 28.5 27.8 27.0 26.2 25.3 24.5 23.6 22.7 20.7 16.0 9.3

14 ************************ 27.5 26.7 26.0 25.2 24.4 23.6 22.7 21.8 19.9 15.4 8.9

15 ************************ 26.5 25.8 25.1 24.4 23.6 22.8 22.0 21.1 19.3 14.9 8.6

16 ************************ 25.7 25.0 24.3 23.6 22.8 22.1 21.3 20.4 18.6 14.4 8.3

17 ************************ 24.9 24.3 23.6 22.9 22.2 21.4 20.6 19.8 18.1 14.0 8.1

18 ************************ 24.2 23.6 22.9 22.2 21.5 20.8 20.0 19.3 17.6 13.6 7.9

19 ************************ 23.6 23.0 22.3 21.6 21.0 20.2 19.5 18.7 17.1 13.3 7.7

20 ************************ 23.0 22.4 21.7 21.1 20.4 19.7 19.0 18.3 16.7 12.9 7.5

21 ************************ 22.4 21.8 21.2 20.6 19.9 19.3 18.6 17.8 16.3 12.6 7.3

22 ************************ 21.9 21.3 20.7 20.1 19.5 18.8 18.1 17.4 15.9 12.3 7.1

23 ************************ 21.4 20.9 20.3 19.7 19.0 18.4 17.7 17.0 15.6 12.0 7.0

24 ************************ 21.0 20.4 19.9 19.3 18.6 18.0 17.4 16.7 15.2 11.8 6.8

25 ************************ 20.6 20.0 19.5 18.9 18.3 17.7 17.0 16.3 14.9 11.6 6.7

30 ************************ 18.8 18.3 17.8 17.2 16.7 16.1 15.5 14.9 13.6 10.5 6.1

35 ******************************** 16.9 16.4 15.9 15.4 14.9 14.4 13.8 12.6 9.8 5.6

40 ******************************** 15.8 15.4 14.9 14.4 14.0 13.4 12.9 11.8 9.1 5.3

45 ******************************** 14.9 14.5 14.1 13.6 13.2 12.7 12.2 11.1 8.6 5.0

50 ******************************** 14.2 13.8 13.3 12.9 12.5 12.0 11.6 10.5 8.2 4.7

55 ******************************** 13.5 13.1 12.7 12.3 11.9 11.5 11.0 10.1 7.8 4.5

60 ******************************** 12.9 12.6 12.2 11.8 11.4 11.0 10.5 9.6 7.5 4.3

65 **************************************** 12.1 11.7 11.3 10.9 10.5 10.1 9.3 7.2 4.1

70 **************************************** 11.6 11.3 10.9 10.5 10.2 9.8 8.9 6.9 4.0

75 **************************************** 11.2 10.9 10.5 10.2 9.8 9.4 8.6 6.7 3.9

80 **************************************** 10.9 10.5 10.2 9.9 9.5 9.1 8.3 6.5 3.7

85 **************************************** 10.5 10.2 9.9 9.6 9.2 8.9 8.1 6.3 3.6

90 **************************************** 10.3 9.9 9.6 9.3 9.0 8.6 7.9 6.1 3.5

95 ************************************************ 9.7 9.4 9.1 8.7 8.4 7.7 5.9 3.4

100 ************************************************ 9.4 9.1 8.8 8.5 8.2 7.5 5.8 3.3

125 ******************************************************** 8.2 7.9 7.6 7.3 6.7 5.2 3.0

150 ******************************************************** 7.5 7.2 6.9 6.7 6.1 4.7 2.7

200 ************************************************************************ 6.0 5.8 5.3 4.1 2.4

250 **************************************************************************************** 4.7 3.7 2.1

300 **************************************************************************************** 4.3 3.3 1.9

350 ************************************************************************************************ 3.1 1.8

400 ************************************************************************************************ 2.9 1.7

450 ******************************************************************************************************** 1.6

500 ******************************************************************************************************** 1.5

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Quebec

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 266.9 265.7 264.3 260.3 253.3 246.2 238.8 231.3 223.4 215.3 206.8 188.8 146.3 84.4

2 188.7 187.9 186.9 184.0 179.1 174.1 168.9 163.5 158.0 152.2 146.3 133.5 103.4 59.7

3 154.1 153.4 152.6 150.3 146.3 142.1 137.9 133.5 129.0 124.3 119.4 109.0 84.4 48.8

4 133.4 132.8 132.2 130.1 126.7 123.1 119.4 115.6 111.7 107.6 103.4 94.4 73.1 42.2

5 119.4 118.8 118.2 116.4 113.3 110.1 106.8 103.4 99.9 96.3 92.5 84.4 65.4 37.8

6 ******** 108.5 107.9 106.3 103.4 100.5 97.5 94.4 91.2 87.9 84.4 77.1 59.7 34.5

7 ******** 100.4 99.9 98.4 95.7 93.0 90.3 87.4 84.4 81.4 78.2 71.4 55.3 31.9

8 ******** 93.9 93.5 92.0 89.6 87.0 84.4 81.8 79.0 76.1 73.1 66.8 51.7 29.9

9 ******** 88.6 88.1 86.8 84.4 82.1 79.6 77.1 74.5 71.8 68.9 62.9 48.8 28.1

10 ******** 84.0 83.6 82.3 80.1 77.9 75.5 73.1 70.6 68.1 65.4 59.7 46.3 26.7

11 ******** 80.1 79.7 78.5 76.4 74.2 72.0 69.7 67.4 64.9 62.4 56.9 44.1 25.5

12 ******** 76.7 76.3 75.1 73.1 71.1 68.9 66.8 64.5 62.1 59.7 54.5 42.2 24.4

13 ******** 73.7 73.3 72.2 70.3 68.3 66.2 64.1 62.0 59.7 57.4 52.4 40.6 23.4

14 ******** 71.0 70.6 69.6 67.7 65.8 63.8 61.8 59.7 57.5 55.3 50.5 39.1 22.6

15 ******** 68.6 68.3 67.2 65.4 63.6 61.7 59.7 57.7 55.6 53.4 48.8 37.8 21.8

16 ******** 66.4 66.1 65.1 63.3 61.5 59.7 57.8 55.9 53.8 51.7 47.2 36.6 21.1

17 ******** 64.4 64.1 63.1 61.4 59.7 57.9 56.1 54.2 52.2 50.2 45.8 35.5 20.5

18 ******** 62.6 62.3 61.3 59.7 58.0 56.3 54.5 52.7 50.7 48.8 44.5 34.5 19.9

19 ******** 61.0 60.6 59.7 58.1 56.5 54.8 53.1 51.3 49.4 47.5 43.3 33.6 19.4

20 ******** 59.4 59.1 58.2 56.6 55.0 53.4 51.7 50.0 48.1 46.3 42.2 32.7 18.9

21 ******** 58.0 57.7 56.8 55.3 53.7 52.1 50.5 48.8 47.0 45.1 41.2 31.9 18.4

22 ******** 56.6 56.4 55.5 54.0 52.5 50.9 49.3 47.6 45.9 44.1 40.3 31.2 18.0

23 ******** 55.4 55.1 54.3 52.8 51.3 49.8 48.2 46.6 44.9 43.1 39.4 30.5 17.6

24 ******** 54.2 54.0 53.1 51.7 50.3 48.8 47.2 45.6 43.9 42.2 38.5 29.9 17.2

25 ******** 53.1 52.9 52.1 50.7 49.2 47.8 46.3 44.7 43.1 41.4 37.8 29.3 16.9

30 ******** 48.5 48.3 47.5 46.3 44.9 43.6 42.2 40.8 39.3 37.8 34.5 26.7 15.4

35 ******** 44.9 44.7 44.0 42.8 41.6 40.4 39.1 37.8 36.4 35.0 31.9 24.7 14.3

40 ******** 42.0 41.8 41.2 40.1 38.9 37.8 36.6 35.3 34.0 32.7 29.9 23.1 13.4

45 ******** 39.6 39.4 38.8 37.8 36.7 35.6 34.5 33.3 32.1 30.8 28.1 21.8 12.6

50 ******** 37.6 37.4 36.8 35.8 34.8 33.8 32.7 31.6 30.4 29.3 26.7 20.7 11.9

55 ******** 35.8 35.6 35.1 34.2 33.2 32.2 31.2 30.1 29.0 27.9 25.5 19.7 11.4

60 **************** 34.1 33.6 32.7 31.8 30.8 29.9 28.8 27.8 26.7 24.4 18.9 10.9

65 **************** 32.8 32.3 31.4 30.5 29.6 28.7 27.7 26.7 25.7 23.4 18.1 10.5

70 **************** 31.6 31.1 30.3 29.4 28.5 27.6 26.7 25.7 24.7 22.6 17.5 10.1

75 **************** 30.5 30.1 29.3 28.4 27.6 26.7 25.8 24.9 23.9 21.8 16.9 9.8

80 **************** 29.6 29.1 28.3 27.5 26.7 25.9 25.0 24.1 23.1 21.1 16.4 9.4

85 **************** 28.7 28.2 27.5 26.7 25.9 25.1 24.2 23.4 22.4 20.5 15.9 9.2

90 **************** 27.9 27.4 26.7 26.0 25.2 24.4 23.5 22.7 21.8 19.9 15.4 8.9

95 **************** 27.1 26.7 26.0 25.3 24.5 23.7 22.9 22.1 21.2 19.4 15.0 8.7

100 **************** 26.4 26.0 25.3 24.6 23.9 23.1 22.3 21.5 20.7 18.9 14.6 8.4

125 ************************ 23.3 22.7 22.0 21.4 20.7 20.0 19.3 18.5 16.9 13.1 7.6

150 ************************ 21.3 20.7 20.1 19.5 18.9 18.2 17.6 16.9 15.4 11.9 6.9

200 ************************ 18.4 17.9 17.4 16.9 16.4 15.8 15.2 14.6 13.4 10.3 6.0

250 ************************ 16.5 16.0 15.6 15.1 14.6 14.1 13.6 13.1 11.9 9.3 5.3

300 ******************************** 14.6 14.2 13.8 13.4 12.9 12.4 11.9 10.9 8.4 4.9

350 ******************************** 13.5 13.2 12.8 12.4 11.9 11.5 11.1 10.1 7.8 4.5

400 ******************************** 12.7 12.3 11.9 11.6 11.2 10.8 10.3 9.4 7.3 4.2

450 ******************************** 11.9 11.6 11.3 10.9 10.5 10.1 9.8 8.9 6.9 4.0

500 ******************************** 11.3 11.0 10.7 10.3 10.0 9.6 9.3 8.4 6.5 3.8

750 **************************************** 9.0 8.7 8.4 8.2 7.9 7.6 6.9 5.3 3.1

1000 ************************************************ 7.6 7.3 7.1 6.8 6.5 6.0 4.6 2.7

1500 **************************************************************** 5.8 5.6 5.3 4.9 3.8 2.2

2000 ************************************************************************ 4.8 4.6 4.2 3.3 1.9

3000 ************************************************************************************************ 2.7 1.5

4000 ************************************************************************************************ 2.3 1.3

5000 ******************************************************************************************************** 1.2

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Ontario

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 235.9 234.8 233.6 230.0 223.9 217.6 211.1 204.4 197.5 190.3 182.8 166.9 129.3 74.6

2 166.8 166.0 165.2 162.7 158.3 153.9 149.3 144.5 139.6 134.5 129.3 118.0 91.4 52.8

3 136.2 135.6 134.9 132.8 129.3 125.6 121.9 118.0 114.0 109.9 105.5 96.4 74.6 43.1

4 117.9 117.4 116.8 115.0 111.9 108.8 105.5 102.2 98.7 95.1 91.4 83.4 64.6 37.3

5 105.5 105.0 104.5 102.9 100.1 97.3 94.4 91.4 88.3 85.1 81.8 74.6 57.8 33.4

6 96.3 95.9 95.4 93.9 91.4 88.8 86.2 83.4 80.6 77.7 74.6 68.1 52.8 30.5

7 89.2 88.8 88.3 86.9 84.6 82.2 79.8 77.3 74.6 71.9 69.1 63.1 48.9 28.2

8 83.4 83.0 82.6 81.3 79.2 76.9 74.6 72.3 69.8 67.3 64.6 59.0 45.7 26.4

9 78.6 78.3 77.9 76.7 74.6 72.5 70.4 68.1 65.8 63.4 60.9 55.6 43.1 24.9

10 ******** 74.3 73.9 72.7 70.8 68.8 66.8 64.6 62.4 60.2 57.8 52.8 40.9 23.6

11 ******** 70.8 70.4 69.4 67.5 65.6 63.6 61.6 59.5 57.4 55.1 50.3 39.0 22.5

12 ******** 67.8 67.4 66.4 64.6 62.8 60.9 59.0 57.0 54.9 52.8 48.2 37.3 21.5

13 ******** 65.1 64.8 63.8 62.1 60.3 58.5 56.7 54.8 52.8 50.7 46.3 35.9 20.7

14 ******** 62.8 62.4 61.5 59.8 58.2 56.4 54.6 52.8 50.9 48.9 44.6 34.5 19.9

15 ******** 60.6 60.3 59.4 57.8 56.2 54.5 52.8 51.0 49.1 47.2 43.1 33.4 19.3

16 ******** 58.7 58.4 57.5 56.0 54.4 52.8 51.1 49.4 47.6 45.7 41.7 32.3 18.7

17 ******** 57.0 56.7 55.8 54.3 52.8 51.2 49.6 47.9 46.1 44.3 40.5 31.4 18.1

18 ******** 55.3 55.1 54.2 52.8 51.3 49.8 48.2 46.5 44.8 43.1 39.3 30.5 17.6

19 ******** 53.9 53.6 52.8 51.4 49.9 48.4 46.9 45.3 43.7 41.9 38.3 29.7 17.1

20 ******** 52.5 52.2 51.4 50.1 48.7 47.2 45.7 44.2 42.5 40.9 37.3 28.9 16.7

21 ******** 51.2 51.0 50.2 48.9 47.5 46.1 44.6 43.1 41.5 39.9 36.4 28.2 16.3

22 ******** 50.1 49.8 49.0 47.7 46.4 45.0 43.6 42.1 40.6 39.0 35.6 27.6 15.9

23 ******** 49.0 48.7 48.0 46.7 45.4 44.0 42.6 41.2 39.7 38.1 34.8 27.0 15.6

24 ******** 47.9 47.7 47.0 45.7 44.4 43.1 41.7 40.3 38.8 37.3 34.1 26.4 15.2

25 ******** 47.0 46.7 46.0 44.8 43.5 42.2 40.9 39.5 38.1 36.6 33.4 25.9 14.9

30 ******** 42.9 42.7 42.0 40.9 39.7 38.5 37.3 36.1 34.7 33.4 30.5 23.6 13.6

35 ******** 39.7 39.5 38.9 37.8 36.8 35.7 34.5 33.4 32.2 30.9 28.2 21.9 12.6

40 ******** 37.1 36.9 36.4 35.4 34.4 33.4 32.3 31.2 30.1 28.9 26.4 20.4 11.8

45 ******** 35.0 34.8 34.3 33.4 32.4 31.5 30.5 29.4 28.4 27.3 24.9 19.3 11.1

50 ******** 33.2 33.0 32.5 31.7 30.8 29.9 28.9 27.9 26.9 25.9 23.6 18.3 10.6

55 ******** 31.7 31.5 31.0 30.2 29.3 28.5 27.6 26.6 25.7 24.7 22.5 17.4 10.1

60 ******** 30.3 30.2 29.7 28.9 28.1 27.3 26.4 25.5 24.6 23.6 21.5 16.7 9.6

65 ******** 29.1 29.0 28.5 27.8 27.0 26.2 25.4 24.5 23.6 22.7 20.7 16.0 9.3

70 ******** 28.1 27.9 27.5 26.8 26.0 25.2 24.4 23.6 22.7 21.9 19.9 15.5 8.9

75 ******** 27.1 27.0 26.6 25.9 25.1 24.4 23.6 22.8 22.0 21.1 19.3 14.9 8.6

80 ******** 26.3 26.1 25.7 25.0 24.3 23.6 22.9 22.1 21.3 20.4 18.7 14.5 8.3

85 ******** 25.5 25.3 25.0 24.3 23.6 22.9 22.2 21.4 20.6 19.8 18.1 14.0 8.1

90 ******** 24.8 24.6 24.2 23.6 22.9 22.3 21.5 20.8 20.1 19.3 17.6 13.6 7.9

95 **************** 24.0 23.6 23.0 22.3 21.7 21.0 20.3 19.5 18.8 17.1 13.3 7.7

100 **************** 23.4 23.0 22.4 21.8 21.1 20.4 19.7 19.0 18.3 16.7 12.9 7.5

125 **************** 20.9 20.6 20.0 19.5 18.9 18.3 17.7 17.0 16.4 14.9 11.6 6.7

150 **************** 19.1 18.8 18.3 17.8 17.2 16.7 16.1 15.5 14.9 13.6 10.6 6.1

200 ************************ 16.3 15.8 15.4 14.9 14.5 14.0 13.5 12.9 11.8 9.1 5.3

250 ************************ 14.5 14.2 13.8 13.4 12.9 12.5 12.0 11.6 10.6 8.2 4.7

300 ************************ 13.3 12.9 12.6 12.2 11.8 11.4 11.0 10.6 9.6 7.5 4.3

350 ************************ 12.3 12.0 11.6 11.3 10.9 10.6 10.2 9.8 8.9 6.9 4.0

400 ************************ 11.5 11.2 10.9 10.6 10.2 9.9 9.5 9.1 8.3 6.5 3.7

450 ************************ 10.8 10.6 10.3 10.0 9.6 9.3 9.0 8.6 7.9 6.1 3.5

500 ******************************** 10.0 9.7 9.4 9.1 8.8 8.5 8.2 7.5 5.8 3.3

750 ******************************** 8.2 7.9 7.7 7.5 7.2 6.9 6.7 6.1 4.7 2.7

1000 **************************************** 6.9 6.7 6.5 6.2 6.0 5.8 5.3 4.1 2.4

1500 ************************************************ 5.5 5.3 5.1 4.9 4.7 4.3 3.3 1.9

2000 ******************************************************** 4.6 4.4 4.3 4.1 3.7 2.9 1.7

3000 ************************************************************************ 3.5 3.3 3.0 2.4 1.4

4000 **************************************************************************************** 2.6 2.0 1.2

5000 ************************************************************************************************ 1.8 1.1

6000 ************************************************************************************************ 1.7 1.0

7000 ******************************************************************************************************** 0.9

8000 ******************************************************************************************************** 0.8

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Manitoba

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 ******** 120.0 119.4 117.6 114.4 111.2 107.9 104.5 100.9 97.3 93.4 85.3 66.1 38.1

2 ******** 84.9 84.4 83.1 80.9 78.6 76.3 73.9 71.4 68.8 66.1 60.3 46.7 27.0

3 ******** 69.3 68.9 67.9 66.1 64.2 62.3 60.3 58.3 56.1 53.9 49.2 38.1 22.0

4 ******** 60.0 59.7 58.8 57.2 55.6 53.9 52.2 50.5 48.6 46.7 42.6 33.0 19.1

5 ******** 53.7 53.4 52.6 51.2 49.7 48.2 46.7 45.1 43.5 41.8 38.1 29.5 17.1

6 ******** 49.0 48.7 48.0 46.7 45.4 44.0 42.6 41.2 39.7 38.1 34.8 27.0 15.6

7 ******** 45.4 45.1 44.4 43.3 42.0 40.8 39.5 38.1 36.8 35.3 32.2 25.0 14.4

8 ******** 42.4 42.2 41.6 40.5 39.3 38.1 36.9 35.7 34.4 33.0 30.2 23.4 13.5

9 **************** 39.8 39.2 38.1 37.1 36.0 34.8 33.6 32.4 31.1 28.4 22.0 12.7

10 **************** 37.8 37.2 36.2 35.2 34.1 33.0 31.9 30.8 29.5 27.0 20.9 12.1

11 **************** 36.0 35.4 34.5 33.5 32.5 31.5 30.4 29.3 28.2 25.7 19.9 11.5

12 **************** 34.5 33.9 33.0 32.1 31.1 30.2 29.1 28.1 27.0 24.6 19.1 11.0

13 **************** 33.1 32.6 31.7 30.8 29.9 29.0 28.0 27.0 25.9 23.7 18.3 10.6

14 **************** 31.9 31.4 30.6 29.7 28.8 27.9 27.0 26.0 25.0 22.8 17.7 10.2

15 **************** 30.8 30.4 29.5 28.7 27.9 27.0 26.1 25.1 24.1 22.0 17.1 9.8

16 **************** 29.9 29.4 28.6 27.8 27.0 26.1 25.2 24.3 23.4 21.3 16.5 9.5

17 **************** 29.0 28.5 27.8 27.0 26.2 25.3 24.5 23.6 22.7 20.7 16.0 9.3

18 ************************ 27.7 27.0 26.2 25.4 24.6 23.8 22.9 22.0 20.1 15.6 9.0

19 ************************ 27.0 26.3 25.5 24.8 24.0 23.2 22.3 21.4 19.6 15.2 8.8

20 ************************ 26.3 25.6 24.9 24.1 23.4 22.6 21.7 20.9 19.1 14.8 8.5

21 ************************ 25.7 25.0 24.3 23.5 22.8 22.0 21.2 20.4 18.6 14.4 8.3

22 ************************ 25.1 24.4 23.7 23.0 22.3 21.5 20.7 19.9 18.2 14.1 8.1

23 ************************ 24.5 23.9 23.2 22.5 21.8 21.0 20.3 19.5 17.8 13.8 8.0

24 ************************ 24.0 23.4 22.7 22.0 21.3 20.6 19.9 19.1 17.4 13.5 7.8

25 ************************ 23.5 22.9 22.2 21.6 20.9 20.2 19.5 18.7 17.1 13.2 7.6

30 ************************ 21.5 20.9 20.3 19.7 19.1 18.4 17.8 17.1 15.6 12.1 7.0

35 ************************ 19.9 19.3 18.8 18.2 17.7 17.1 16.4 15.8 14.4 11.2 6.4

40 ************************ 18.6 18.1 17.6 17.1 16.5 16.0 15.4 14.8 13.5 10.4 6.0

45 ******************************** 17.1 16.6 16.1 15.6 15.0 14.5 13.9 12.7 9.8 5.7

50 ******************************** 16.2 15.7 15.3 14.8 14.3 13.8 13.2 12.1 9.3 5.4

55 ******************************** 15.4 15.0 14.5 14.1 13.6 13.1 12.6 11.5 8.9 5.1

60 ******************************** 14.8 14.4 13.9 13.5 13.0 12.6 12.1 11.0 8.5 4.9

65 ******************************** 14.2 13.8 13.4 13.0 12.5 12.1 11.6 10.6 8.2 4.7

70 ******************************** 13.7 13.3 12.9 12.5 12.1 11.6 11.2 10.2 7.9 4.6

75 ******************************** 13.2 12.8 12.5 12.1 11.7 11.2 10.8 9.8 7.6 4.4

80 ******************************** 12.8 12.4 12.1 11.7 11.3 10.9 10.4 9.5 7.4 4.3

85 ******************************** 12.4 12.1 11.7 11.3 10.9 10.5 10.1 9.3 7.2 4.1

90 **************************************** 11.7 11.4 11.0 10.6 10.3 9.8 9.0 7.0 4.0

95 **************************************** 11.4 11.1 10.7 10.4 10.0 9.6 8.8 6.8 3.9

100 **************************************** 11.1 10.8 10.4 10.1 9.7 9.3 8.5 6.6 3.8

125 **************************************** 9.9 9.6 9.3 9.0 8.7 8.4 7.6 5.9 3.4

150 ************************************************ 8.8 8.5 8.2 7.9 7.6 7.0 5.4 3.1

200 ******************************************************** 7.4 7.1 6.9 6.6 6.0 4.7 2.7

250 **************************************************************** 6.4 6.2 5.9 5.4 4.2 2.4

300 ************************************************************************ 5.6 5.4 4.9 3.8 2.2

350 **************************************************************************************** 4.6 3.5 2.0

400 **************************************************************************************** 4.3 3.3 1.9

450 ************************************************************************************************ 3.1 1.8

500 ************************************************************************************************ 3.0 1.7

750 ******************************************************************************************************** 1.4

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Saskatchewan

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 ******** 100.0 99.5 98.0 95.3 92.7 89.9 87.0 84.1 81.0 77.9 71.1 55.0 31.8

2 ******** 70.7 70.4 69.3 67.4 65.5 63.6 61.5 59.5 57.3 55.0 50.3 38.9 22.5

3 ******** 57.7 57.4 56.6 55.0 53.5 51.9 50.3 48.5 46.8 44.9 41.0 31.8 18.3

4 ******** 50.0 49.7 49.0 47.7 46.3 44.9 43.5 42.0 40.5 38.9 35.5 27.5 15.9

5 ******** 44.7 44.5 43.8 42.6 41.4 40.2 38.9 37.6 36.2 34.8 31.8 24.6 14.2

6 ******** 40.8 40.6 40.0 38.9 37.8 36.7 35.5 34.3 33.1 31.8 29.0 22.5 13.0

7 ******** 37.8 37.6 37.0 36.0 35.0 34.0 32.9 31.8 30.6 29.4 26.9 20.8 12.0

8 **************** 35.2 34.6 33.7 32.8 31.8 30.8 29.7 28.6 27.5 25.1 19.5 11.2

9 **************** 33.2 32.7 31.8 30.9 30.0 29.0 28.0 27.0 26.0 23.7 18.3 10.6

10 **************** 31.5 31.0 30.2 29.3 28.4 27.5 26.6 25.6 24.6 22.5 17.4 10.1

11 **************** 30.0 29.5 28.7 27.9 27.1 26.2 25.4 24.4 23.5 21.4 16.6 9.6

12 **************** 28.7 28.3 27.5 26.7 26.0 25.1 24.3 23.4 22.5 20.5 15.9 9.2

13 **************** 27.6 27.2 26.4 25.7 24.9 24.1 23.3 22.5 21.6 19.7 15.3 8.8

14 **************** 26.6 26.2 25.5 24.8 24.0 23.3 22.5 21.7 20.8 19.0 14.7 8.5

15 **************** 25.7 25.3 24.6 23.9 23.2 22.5 21.7 20.9 20.1 18.3 14.2 8.2

16 ************************ 24.5 23.8 23.2 22.5 21.8 21.0 20.3 19.5 17.8 13.8 7.9

17 ************************ 23.8 23.1 22.5 21.8 21.1 20.4 19.7 18.9 17.2 13.4 7.7

18 ************************ 23.1 22.5 21.8 21.2 20.5 19.8 19.1 18.3 16.8 13.0 7.5

19 ************************ 22.5 21.9 21.3 20.6 20.0 19.3 18.6 17.9 16.3 12.6 7.3

20 ************************ 21.9 21.3 20.7 20.1 19.5 18.8 18.1 17.4 15.9 12.3 7.1

21 ************************ 21.4 20.8 20.2 19.6 19.0 18.3 17.7 17.0 15.5 12.0 6.9

22 ************************ 20.9 20.3 19.8 19.2 18.6 17.9 17.3 16.6 15.2 11.7 6.8

23 ************************ 20.4 19.9 19.3 18.7 18.1 17.5 16.9 16.2 14.8 11.5 6.6

24 ************************ 20.0 19.5 18.9 18.3 17.8 17.2 16.5 15.9 14.5 11.2 6.5

25 ************************ 19.6 19.1 18.5 18.0 17.4 16.8 16.2 15.6 14.2 11.0 6.4

30 ************************ 17.9 17.4 16.9 16.4 15.9 15.4 14.8 14.2 13.0 10.1 5.8

35 ************************ 16.6 16.1 15.7 15.2 14.7 14.2 13.7 13.2 12.0 9.3 5.4

40 ******************************** 15.1 14.7 14.2 13.8 13.3 12.8 12.3 11.2 8.7 5.0

45 ******************************** 14.2 13.8 13.4 13.0 12.5 12.1 11.6 10.6 8.2 4.7

50 ******************************** 13.5 13.1 12.7 12.3 11.9 11.5 11.0 10.1 7.8 4.5

55 ******************************** 12.9 12.5 12.1 11.7 11.3 10.9 10.5 9.6 7.4 4.3

60 ******************************** 12.3 12.0 11.6 11.2 10.9 10.5 10.1 9.2 7.1 4.1

65 ******************************** 11.8 11.5 11.2 10.8 10.4 10.1 9.7 8.8 6.8 3.9

70 ******************************** 11.4 11.1 10.7 10.4 10.1 9.7 9.3 8.5 6.6 3.8

75 ******************************** 11.0 10.7 10.4 10.1 9.7 9.4 9.0 8.2 6.4 3.7

80 **************************************** 10.4 10.1 9.7 9.4 9.1 8.7 7.9 6.2 3.6

85 **************************************** 10.1 9.8 9.4 9.1 8.8 8.4 7.7 6.0 3.4

90 **************************************** 9.8 9.5 9.2 8.9 8.5 8.2 7.5 5.8 3.4

95 **************************************** 9.5 9.2 8.9 8.6 8.3 8.0 7.3 5.6 3.3

100 **************************************** 9.3 9.0 8.7 8.4 8.1 7.8 7.1 5.5 3.2

125 ************************************************ 8.0 7.8 7.5 7.2 7.0 6.4 4.9 2.8

150 ************************************************ 7.3 7.1 6.9 6.6 6.4 5.8 4.5 2.6

200 **************************************************************** 5.9 5.7 5.5 5.0 3.9 2.2

250 ************************************************************************ 5.1 4.9 4.5 3.5 2.0

300 ******************************************************************************** 4.5 4.1 3.2 1.8

350 **************************************************************************************** 3.8 2.9 1.7

400 ************************************************************************************************ 2.8 1.6

450 ************************************************************************************************ 2.6 1.5

500 ************************************************************************************************ 2.5 1.4

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Alberta

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 196.3 195.4 194.4 191.4 186.3 181.1 175.7 170.1 164.3 158.3 152.1 138.9 107.6 62.1

2 138.8 138.2 137.5 135.4 131.8 128.0 124.2 120.3 116.2 112.0 107.6 98.2 76.1 43.9

3 ******** 112.8 112.3 110.5 107.6 104.5 101.4 98.2 94.9 91.4 87.8 80.2 62.1 35.9

4 ******** 97.7 97.2 95.7 93.2 90.5 87.8 85.0 82.2 79.2 76.1 69.4 53.8 31.1

5 ******** 87.4 87.0 85.6 83.3 81.0 78.6 76.1 73.5 70.8 68.0 62.1 48.1 27.8

6 ******** 79.8 79.4 78.2 76.1 73.9 71.7 69.4 67.1 64.6 62.1 56.7 43.9 25.4

7 ******** 73.9 73.5 72.4 70.4 68.4 66.4 64.3 62.1 59.8 57.5 52.5 40.7 23.5

8 ******** 69.1 68.7 67.7 65.9 64.0 62.1 60.1 58.1 56.0 53.8 49.1 38.0 22.0

9 ******** 65.1 64.8 63.8 62.1 60.4 58.6 56.7 54.8 52.8 50.7 46.3 35.9 20.7

10 ******** 61.8 61.5 60.5 58.9 57.3 55.6 53.8 52.0 50.1 48.1 43.9 34.0 19.6

11 ******** 58.9 58.6 57.7 56.2 54.6 53.0 51.3 49.5 47.7 45.9 41.9 32.4 18.7

12 ******** 56.4 56.1 55.3 53.8 52.3 50.7 49.1 47.4 45.7 43.9 40.1 31.1 17.9

13 ******** 54.2 53.9 53.1 51.7 50.2 48.7 47.2 45.6 43.9 42.2 38.5 29.8 17.2

14 ******** 52.2 52.0 51.2 49.8 48.4 46.9 45.5 43.9 42.3 40.7 37.1 28.8 16.6

15 ******** 50.5 50.2 49.4 48.1 46.8 45.4 43.9 42.4 40.9 39.3 35.9 27.8 16.0

16 ******** 48.9 48.6 47.9 46.6 45.3 43.9 42.5 41.1 39.6 38.0 34.7 26.9 15.5

17 ******** 47.4 47.2 46.4 45.2 43.9 42.6 41.3 39.9 38.4 36.9 33.7 26.1 15.1

18 ******** 46.1 45.8 45.1 43.9 42.7 41.4 40.1 38.7 37.3 35.9 32.7 25.4 14.6

19 ******** 44.8 44.6 43.9 42.7 41.5 40.3 39.0 37.7 36.3 34.9 31.9 24.7 14.2

20 ******** 43.7 43.5 42.8 41.7 40.5 39.3 38.0 36.7 35.4 34.0 31.1 24.1 13.9

21 ******** 42.6 42.4 41.8 40.7 39.5 38.3 37.1 35.9 34.6 33.2 30.3 23.5 13.6

22 ******** 41.7 41.5 40.8 39.7 38.6 37.5 36.3 35.0 33.8 32.4 29.6 22.9 13.2

23 ******** 40.7 40.5 39.9 38.9 37.8 36.6 35.5 34.3 33.0 31.7 29.0 22.4 13.0

24 **************** 39.7 39.1 38.0 37.0 35.9 34.7 33.5 32.3 31.1 28.3 22.0 12.7

25 **************** 38.9 38.3 37.3 36.2 35.1 34.0 32.9 31.7 30.4 27.8 21.5 12.4

30 **************** 35.5 35.0 34.0 33.1 32.1 31.1 30.0 28.9 27.8 25.4 19.6 11.3

35 **************** 32.9 32.4 31.5 30.6 29.7 28.8 27.8 26.8 25.7 23.5 18.2 10.5

40 **************** 30.7 30.3 29.5 28.6 27.8 26.9 26.0 25.0 24.1 22.0 17.0 9.8

45 **************** 29.0 28.5 27.8 27.0 26.2 25.4 24.5 23.6 22.7 20.7 16.0 9.3

50 ************************ 27.1 26.4 25.6 24.8 24.1 23.2 22.4 21.5 19.6 15.2 8.8

55 ************************ 25.8 25.1 24.4 23.7 22.9 22.2 21.4 20.5 18.7 14.5 8.4

60 ************************ 24.7 24.1 23.4 22.7 22.0 21.2 20.4 19.6 17.9 13.9 8.0

65 ************************ 23.7 23.1 22.5 21.8 21.1 20.4 19.6 18.9 17.2 13.3 7.7

70 ************************ 22.9 22.3 21.6 21.0 20.3 19.6 18.9 18.2 16.6 12.9 7.4

75 ************************ 22.1 21.5 20.9 20.3 19.6 19.0 18.3 17.6 16.0 12.4 7.2

80 ************************ 21.4 20.8 20.2 19.6 19.0 18.4 17.7 17.0 15.5 12.0 6.9

85 ************************ 20.8 20.2 19.6 19.1 18.4 17.8 17.2 16.5 15.1 11.7 6.7

90 ************************ 20.2 19.6 19.1 18.5 17.9 17.3 16.7 16.0 14.6 11.3 6.5

95 ************************ 19.6 19.1 18.6 18.0 17.5 16.9 16.2 15.6 14.2 11.0 6.4

100 ************************ 19.1 18.6 18.1 17.6 17.0 16.4 15.8 15.2 13.9 10.8 6.2

125 ******************************** 16.7 16.2 15.7 15.2 14.7 14.2 13.6 12.4 9.6 5.6

150 ******************************** 15.2 14.8 14.3 13.9 13.4 12.9 12.4 11.3 8.8 5.1

200 ******************************** 13.2 12.8 12.4 12.0 11.6 11.2 10.8 9.8 7.6 4.4

250 **************************************** 11.5 11.1 10.8 10.4 10.0 9.6 8.8 6.8 3.9

300 **************************************** 10.5 10.1 9.8 9.5 9.1 8.8 8.0 6.2 3.6

350 ************************************************ 9.4 9.1 8.8 8.5 8.1 7.4 5.8 3.3

400 ************************************************ 8.8 8.5 8.2 7.9 7.6 6.9 5.4 3.1

450 ************************************************ 8.3 8.0 7.7 7.5 7.2 6.5 5.1 2.9

500 ******************************************************** 7.6 7.3 7.1 6.8 6.2 4.8 2.8

750 ************************************************************************ 5.8 5.6 5.1 3.9 2.3

1000 **************************************************************************************** 4.4 3.4 2.0

1500 ************************************************************************************************ 2.8 1.6

2000 ******************************************************************************************************** 1.4

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for British Columbia

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 233.8 232.7 231.5 228.0 221.9 215.6 209.2 202.5 195.7 188.6 181.2 165.4 128.1 74.0

2 165.3 164.5 163.7 161.2 156.9 152.5 147.9 143.2 138.4 133.3 128.1 116.9 90.6 52.3

3 135.0 134.4 133.7 131.6 128.1 124.5 120.8 116.9 113.0 108.9 104.6 95.5 74.0 42.7

4 ******** 116.4 115.8 114.0 110.9 107.8 104.6 101.3 97.8 94.3 90.6 82.7 64.0 37.0

5 ******** 104.1 103.5 101.9 99.2 96.4 93.5 90.6 87.5 84.3 81.0 74.0 57.3 33.1

6 ******** 95.0 94.5 93.1 90.6 88.0 85.4 82.7 79.9 77.0 74.0 67.5 52.3 30.2

7 ******** 88.0 87.5 86.2 83.9 81.5 79.1 76.6 74.0 71.3 68.5 62.5 48.4 28.0

8 ******** 82.3 81.9 80.6 78.4 76.2 74.0 71.6 69.2 66.7 64.0 58.5 45.3 26.1

9 ******** 77.6 77.2 76.0 74.0 71.9 69.7 67.5 65.2 62.9 60.4 55.1 42.7 24.7

10 ******** 73.6 73.2 72.1 70.2 68.2 66.1 64.0 61.9 59.6 57.3 52.3 40.5 23.4

11 ******** 70.2 69.8 68.7 66.9 65.0 63.1 61.1 59.0 56.9 54.6 49.9 38.6 22.3

12 ******** 67.2 66.8 65.8 64.0 62.2 60.4 58.5 56.5 54.4 52.3 47.7 37.0 21.3

13 ******** 64.5 64.2 63.2 61.5 59.8 58.0 56.2 54.3 52.3 50.2 45.9 35.5 20.5

14 ******** 62.2 61.9 60.9 59.3 57.6 55.9 54.1 52.3 50.4 48.4 44.2 34.2 19.8

15 ******** 60.1 59.8 58.9 57.3 55.7 54.0 52.3 50.5 48.7 46.8 42.7 33.1 19.1

16 ******** 58.2 57.9 57.0 55.5 53.9 52.3 50.6 48.9 47.1 45.3 41.3 32.0 18.5

17 ******** 56.4 56.2 55.3 53.8 52.3 50.7 49.1 47.5 45.7 43.9 40.1 31.1 17.9

18 ******** 54.8 54.6 53.7 52.3 50.8 49.3 47.7 46.1 44.4 42.7 39.0 30.2 17.4

19 ******** 53.4 53.1 52.3 50.9 49.5 48.0 46.5 44.9 43.3 41.6 37.9 29.4 17.0

20 ******** 52.0 51.8 51.0 49.6 48.2 46.8 45.3 43.8 42.2 40.5 37.0 28.6 16.5

21 ******** 50.8 50.5 49.7 48.4 47.1 45.6 44.2 42.7 41.1 39.5 36.1 28.0 16.1

22 ******** 49.6 49.4 48.6 47.3 46.0 44.6 43.2 41.7 40.2 38.6 35.3 27.3 15.8

23 ******** 48.5 48.3 47.5 46.3 45.0 43.6 42.2 40.8 39.3 37.8 34.5 26.7 15.4

24 ******** 47.5 47.3 46.5 45.3 44.0 42.7 41.3 39.9 38.5 37.0 33.8 26.1 15.1

25 ******** 46.5 46.3 45.6 44.4 43.1 41.8 40.5 39.1 37.7 36.2 33.1 25.6 14.8

30 ******** 42.5 42.3 41.6 40.5 39.4 38.2 37.0 35.7 34.4 33.1 30.2 23.4 13.5

35 **************** 39.1 38.5 37.5 36.4 35.4 34.2 33.1 31.9 30.6 28.0 21.7 12.5

40 **************** 36.6 36.0 35.1 34.1 33.1 32.0 30.9 29.8 28.6 26.1 20.3 11.7

45 **************** 34.5 34.0 33.1 32.1 31.2 30.2 29.2 28.1 27.0 24.7 19.1 11.0

50 **************** 32.7 32.2 31.4 30.5 29.6 28.6 27.7 26.7 25.6 23.4 18.1 10.5

55 **************** 31.2 30.7 29.9 29.1 28.2 27.3 26.4 25.4 24.4 22.3 17.3 10.0

60 **************** 29.9 29.4 28.6 27.8 27.0 26.1 25.3 24.3 23.4 21.3 16.5 9.5

65 ************************ 28.3 27.5 26.7 25.9 25.1 24.3 23.4 22.5 20.5 15.9 9.2

70 ************************ 27.2 26.5 25.8 25.0 24.2 23.4 22.5 21.7 19.8 15.3 8.8

75 ************************ 26.3 25.6 24.9 24.2 23.4 22.6 21.8 20.9 19.1 14.8 8.5

80 ************************ 25.5 24.8 24.1 23.4 22.6 21.9 21.1 20.3 18.5 14.3 8.3

85 ************************ 24.7 24.1 23.4 22.7 22.0 21.2 20.5 19.6 17.9 13.9 8.0

90 ************************ 24.0 23.4 22.7 22.0 21.3 20.6 19.9 19.1 17.4 13.5 7.8

95 ************************ 23.4 22.8 22.1 21.5 20.8 20.1 19.3 18.6 17.0 13.1 7.6

100 ************************ 22.8 22.2 21.6 20.9 20.3 19.6 18.9 18.1 16.5 12.8 7.4

125 ************************ 20.4 19.8 19.3 18.7 18.1 17.5 16.9 16.2 14.8 11.5 6.6

150 ************************ 18.6 18.1 17.6 17.1 16.5 16.0 15.4 14.8 13.5 10.5 6.0

200 ******************************** 15.7 15.2 14.8 14.3 13.8 13.3 12.8 11.7 9.1 5.2

250 ******************************** 14.0 13.6 13.2 12.8 12.4 11.9 11.5 10.5 8.1 4.7

300 ******************************** 12.8 12.4 12.1 11.7 11.3 10.9 10.5 9.5 7.4 4.3

350 **************************************** 11.5 11.2 10.8 10.5 10.1 9.7 8.8 6.8 4.0

400 **************************************** 10.8 10.5 10.1 9.8 9.4 9.1 8.3 6.4 3.7

450 **************************************** 10.2 9.9 9.5 9.2 8.9 8.5 7.8 6.0 3.5

500 ************************************************ 9.4 9.1 8.8 8.4 8.1 7.4 5.7 3.3

750 ******************************************************** 7.4 7.1 6.9 6.6 6.0 4.7 2.7

1000 ************************************************************************ 6.0 5.7 5.2 4.1 2.3

1500 **************************************************************************************** 4.3 3.3 1.9

2000 ************************************************************************************************ 2.9 1.7

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

2000 National Survey of Giving, Volunteering & Participating

Approximate Sampling Variability Tables for Canada

NUMERATOR OF ESTIMATED PERCENTAGE

PERCENTAGE

('000) 0.1% 1.0% 2.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 50.0% 70.0% 90.0%

1 224.9 223.9 222.8 219.3 213.5 207.5 201.3 194.9 188.3 181.4 174.3 159.1 123.3 71.2

2 159.0 158.3 157.5 155.1 151.0 146.7 142.3 137.8 133.1 128.3 123.3 112.5 87.2 50.3

3 129.9 129.3 128.6 126.6 123.3 119.8 116.2 112.5 108.7 104.8 100.6 91.9 71.2 41.1

4 112.5 112.0 111.4 109.7 106.7 103.7 100.6 97.4 94.1 90.7 87.2 79.6 61.6 35.6

5 100.6 100.1 99.6 98.1 95.5 92.8 90.0 87.2 84.2 81.1 78.0 71.2 55.1 31.8

6 91.8 91.4 90.9 89.5 87.2 84.7 82.2 79.6 76.9 74.1 71.2 65.0 50.3 29.1

7 85.0 84.6 84.2 82.9 80.7 78.4 76.1 73.7 71.2 68.6 65.9 60.1 46.6 26.9

8 79.5 79.2 78.8 77.5 75.5 73.4 71.2 68.9 66.6 64.1 61.6 56.3 43.6 25.2

9 75.0 74.6 74.3 73.1 71.2 69.2 67.1 65.0 62.8 60.5 58.1 53.0 41.1 23.7

10 71.1 70.8 70.4 69.4 67.5 65.6 63.7 61.6 59.5 57.4 55.1 50.3 39.0 22.5

11 67.8 67.5 67.2 66.1 64.4 62.6 60.7 58.8 56.8 54.7 52.6 48.0 37.2 21.5

12 64.9 64.6 64.3 63.3 61.6 59.9 58.1 56.3 54.4 52.4 50.3 45.9 35.6 20.5

13 62.4 62.1 61.8 60.8 59.2 57.5 55.8 54.1 52.2 50.3 48.3 44.1 34.2 19.7

14 60.1 59.8 59.5 58.6 57.1 55.5 53.8 52.1 50.3 48.5 46.6 42.5 32.9 19.0

15 58.1 57.8 57.5 56.6 55.1 53.6 52.0 50.3 48.6 46.8 45.0 41.1 31.8 18.4

16 56.2 56.0 55.7 54.8 53.4 51.9 50.3 48.7 47.1 45.4 43.6 39.8 30.8 17.8

17 54.6 54.3 54.0 53.2 51.8 50.3 48.8 47.3 45.7 44.0 42.3 38.6 29.9 17.3

18 53.0 52.8 52.5 51.7 50.3 48.9 47.4 45.9 44.4 42.8 41.1 37.5 29.1 16.8

19 51.6 51.4 51.1 50.3 49.0 47.6 46.2 44.7 43.2 41.6 40.0 36.5 28.3 16.3

20 50.3 50.1 49.8 49.0 47.7 46.4 45.0 43.6 42.1 40.6 39.0 35.6 27.6 15.9

21 49.1 48.9 48.6 47.9 46.6 45.3 43.9 42.5 41.1 39.6 38.0 34.7 26.9 15.5

22 48.0 47.7 47.5 46.8 45.5 44.2 42.9 41.6 40.1 38.7 37.2 33.9 26.3 15.2

23 46.9 46.7 46.5 45.7 44.5 43.3 42.0 40.6 39.3 37.8 36.3 33.2 25.7 14.8

24 45.9 45.7 45.5 44.8 43.6 42.4 41.1 39.8 38.4 37.0 35.6 32.5 25.2 14.5

25 ******** 44.8 44.6 43.9 42.7 41.5 40.3 39.0 37.7 36.3 34.9 31.8 24.7 14.2

30 ******** 40.9 40.7 40.0 39.0 37.9 36.7 35.6 34.4 33.1 31.8 29.1 22.5 13.0

35 ******** 37.8 37.7 37.1 36.1 35.1 34.0 32.9 31.8 30.7 29.5 26.9 20.8 12.0

40 ******** 35.4 35.2 34.7 33.8 32.8 31.8 30.8 29.8 28.7 27.6 25.2 19.5 11.3

45 ******** 33.4 33.2 32.7 31.8 30.9 30.0 29.1 28.1 27.0 26.0 23.7 18.4 10.6

50 ******** 31.7 31.5 31.0 30.2 29.3 28.5 27.6 26.6 25.7 24.7 22.5 17.4 10.1

55 ******** 30.2 30.0 29.6 28.8 28.0 27.1 26.3 25.4 24.5 23.5 21.5 16.6 9.6

60 ******** 28.9 28.8 28.3 27.6 26.8 26.0 25.2 24.3 23.4 22.5 20.5 15.9 9.2

65 ******** 27.8 27.6 27.2 26.5 25.7 25.0 24.2 23.4 22.5 21.6 19.7 15.3 8.8

70 ******** 26.8 26.6 26.2 25.5 24.8 24.1 23.3 22.5 21.7 20.8 19.0 14.7 8.5

75 ******** 25.9 25.7 25.3 24.7 24.0 23.2 22.5 21.7 21.0 20.1 18.4 14.2 8.2

80 ******** 25.0 24.9 24.5 23.9 23.2 22.5 21.8 21.1 20.3 19.5 17.8 13.8 8.0

85 ******** 24.3 24.2 23.8 23.2 22.5 21.8 21.1 20.4 19.7 18.9 17.3 13.4 7.7

90 ******** 23.6 23.5 23.1 22.5 21.9 21.2 20.5 19.8 19.1 18.4 16.8 13.0 7.5

95 ******** 23.0 22.9 22.5 21.9 21.3 20.7 20.0 19.3 18.6 17.9 16.3 12.6 7.3

100 ******** 22.4 22.3 21.9 21.3 20.7 20.1 19.5 18.8 18.1 17.4 15.9 12.3 7.1

125 ******** 20.0 19.9 19.6 19.1 18.6 18.0 17.4 16.8 16.2 15.6 14.2 11.0 6.4

150 ******** 18.3 18.2 17.9 17.4 16.9 16.4 15.9 15.4 14.8 14.2 13.0 10.1 5.8

200 ******** 15.8 15.8 15.5 15.1 14.7 14.2 13.8 13.3 12.8 12.3 11.3 8.7 5.0

250 **************** 14.1 13.9 13.5 13.1 12.7 12.3 11.9 11.5 11.0 10.1 7.8 4.5

300 **************** 12.9 12.7 12.3 12.0 11.6 11.3 10.9 10.5 10.1 9.2 7.1 4.1

350 **************** 11.9 11.7 11.4 11.1 10.8 10.4 10.1 9.7 9.3 8.5 6.6 3.8

400 **************** 11.1 11.0 10.7 10.4 10.1 9.7 9.4 9.1 8.7 8.0 6.2 3.6

450 **************** 10.5 10.3 10.1 9.8 9.5 9.2 8.9 8.6 8.2 7.5 5.8 3.4

500 ************************ 9.8 9.5 9.3 9.0 8.7 8.4 8.1 7.8 7.1 5.5 3.2

750 ************************ 8.0 7.8 7.6 7.3 7.1 6.9 6.6 6.4 5.8 4.5 2.6

1000 ************************ 6.9 6.8 6.6 6.4 6.2 6.0 5.7 5.5 5.0 3.9 2.3

1500 ******************************** 5.5 5.4 5.2 5.0 4.9 4.7 4.5 4.1 3.2 1.8

2000 ******************************** 4.8 4.6 4.5 4.4 4.2 4.1 3.9 3.6 2.8 1.6

3000 **************************************** 3.8 3.7 3.6 3.4 3.3 3.2 2.9 2.3 1.3

4000 ************************************************ 3.2 3.1 3.0 2.9 2.8 2.5 1.9 1.1

5000 ******************************************************** 2.8 2.7 2.6 2.5 2.3 1.7 1.0

6000 ******************************************************** 2.5 2.4 2.3 2.3 2.1 1.6 0.9

7000 **************************************************************** 2.3 2.2 2.1 1.9 1.5 0.9

8000 ************************************************************************ 2.0 1.9 1.8 1.4 0.8

9000 ******************************************************************************** 1.8 1.7 1.3 0.8

10000 **************************************************************************************** 1.6 1.2 0.7

12500 ************************************************************************************************ 1.1 0.6

15000 ************************************************************************************************ 1.0 0.6

20000 ******************************************************************************************************** 0.5

NOTE: FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION

11.0	Weighting

Since the National Survey of Giving, Volunteering and Participating used a sub-sample of the LFS sample, the derivation of weights for the survey records is clearly tied to the weighting procedure used for the LFS. The LFS weighting procedure is briefly described below.

11.1	Weighting Procedures for the LFS

In the LFS, the final weight attached to each record is the product of the following factors: the basic weight, the cluster sub-weight, the balancing factor for non-response, and the province-age-sex and subprovincial ratio adjustment factor. Each is described below.

Basic Weight

In a probability sample, the sample design itself determines weights which must be used to produce unbiased estimates of the population. Each record must be weighted by the inverse of the probability of selecting the person to whom the record refers. In the example of a 2% simple random sample, this probability would be .02 for each person and the records must be weighted by 1/.02=50. Because all eligible individuals in a dwelling are interviewed (directly or by proxy), this probability is the same as the probability with which the dwelling is selected.

Cluster Sub-weight

The cluster delineation is such that the number of dwellings in the sample increases very slightly with moderate growth in the housing stock. Substantial growth can be tolerated in an isolated cluster before the additional sample represents a field collection problem. However, if growth takes place in more than one cluster in an interviewer assignment, the cumulative effect of all increases may create a workload problem. In clusters where substantial growth has taken place, sub-sampling is used as a means of keeping interviewer assignments manageable. The cluster sub-weight represents the inverse of this sub-sampling ratio in clusters where sub-sampling has occurred.

Non-response

Notwithstanding the strict controls of the LFS, some non-response is inevitable, despite all the attempts made by the interviewers. The LFS non-response rate is approximately 10%. For certain types of non-response (eg. household temporarily absent, refusal), data from a previous month's interview with the household if any, is brought forward and used as the current month's data for the household.

In other cases, non-response is compensated for by proportionally increasing the weights of responding households. The weight of each responding record is increased by the ratio of the number of households that should have been interviewed, divided by the number that were actually interviewed. This adjustment is done separately for non- response areas, which are defined by employment insurance region, type of area, and rotation group. It is based on the assumption that the households that have been interviewed represent the characteristics of those that should have been interviewed within non-response areas. To the extent that this assumption is not true, the estimates will be somewhat biased.

LFS Sub-Weight

The product of the previously described weighting factors is called the LFS sub-weight. All members of the same sampled dwelling have the same sub-weight.

Subprovincial and Province-Age-Sex Adjustments

The sub-weight can be used to derive a valid estimate of any characteristic for which information is collected by the LFS. In particular, estimates are produced of the total number of persons 15+ in provincial economic regions and the 24 large metropolitan areas as well as of designated age-sex groups in each of the ten provinces.

Independent estimates are available monthly for various age and sex groups by province. These are population projections based on the most recent Census data, records of births and deaths, and estimates of migration. In the final step, this auxiliary information is used to transform the sub-weight into the final weight. This is done using a calibration method. This method ensures that the final weights it produces sum to the census projections for the auxiliary variables, namely various age-sex groups, economic regions and census metropolitan areas.

This weighting procedure ensures consistency with external Census counts and that each rotation group is representative of the population.

11.2	Weighting Procedures for the National Survey of Giving, Volunteering and Participating

The principles behind the calculation of the weights for the National Survey of Giving, Volunteering and Participating are identical to those for the LFS. However, further adjustments are made to the LFS weights in order to derive a final weight for the individual records on the National Survey of Giving, Volunteering and Participating microdata file.

The first adjustment is for the use of a five-sixth sub-sample, instead of the full LFS sample. The next adjustment is to account for the random selection of one respondent from the selected household. There is an adjustment to account for the additional non-response to the supplementary survey i.e., non-response to the National Survey of Giving, Volunteering and Participating for individuals who did respond to the LFS or for which previous month's LFS data was brought forward. We then have an adjustment to account for the sub-sample of non-volunteers records. An other adjustment deals with outlier records and a final adjustment is done to match the Census projections for independent province-sex-age groups and census metropolitan area (CMA) counts (in a calibration exercise).

The resulting weight (FINWGHT) is the final weight which appears on the National Survey of Giving, Volunteering and Participating microdata file.

12.0	Structure of the National Survey of Giving, Volunteering and Participating Files

There are three data files for the NSGVP. The main answer file (MAIN.TXT), the volunteer event file (VD.TXT) and the giver event file (GS.TXT). To link between files use the variable MICRO_ID.

MAIN.TXT

This is the main answer file and contains one record per respondent. All questions except for those on the VD and GS files are located here. In addition, summary derived variables have been created from the VD and GS files and placed on the MAIN file. Use the MICRO_ID to link with other files.

VD.TXT

This is the volunteer organization answer file. It will contain 1-3 records per person who volunteered (1 per organization the respondent volunteered with). This file contains information on the type of organization for which the individual volunteered, and the number of hours volunteered for the organization.

GS.TXT

This is the charitable donation answer file. It will contain 1-55 records per person per solicitation method who made a charitable donation. Each record represents 1 donation made to a charitable organization. For each donation made, this file contains information on the type of organization to whom the donation was made as well as the value of the donation.

12.1	Variable Naming Conventions used in the National Survey of Giving, Volunteering and Participating Files

The NSGVP has adopted a variable naming convention which allows data users to easily use and refer to similar data from different collection years. The following requirements were mandatory: restrict variable names to a maximum of 8 characters for ease of use by analytical software products; identify the survey occasion (cycle 1(year 2000) , 2 (year 2001) or 3 (year 2002) etc,) in the name; and allow conceptually identical variables to be easily identifiable over survey occasions. For example, conceptually identical data on volunteering will be collected in cycles 1 , 2 and 3. The variable names about volunteering should only differ in the year position in the variable name that identifies the particular survey occasion in which they were collected. This convention will be followed throughout subsequent NSGVP surveys.

Variable Name Component Structure

Each of the eight characters in a variable name contains information about the type of data contained in the variable.

Positions1-2:	Variable / Questionnaire section name

Position 3:	Cycle/year variable appears

Position 4:	Variable type

Positions 5-8:	Variable number / name from questionnaire

Example: SD1_04A

SD:	Appears in the Socio-demographic content section of the questionnaire;

1:	Appears in cycle 1 (year 2000)

_:	Collected variable (can be found on the questionnaire) and;

04A:	Variable name/number (usually corresponds to the question number e.g. Q04). This example is a mark-all question type, thus has the extension of a, b, c etc. If the question type had been a yes/no type the variable name/number would simply have been "04".

Positions 1-2: Variable / Questionnaire Section Name

Position 1-2	Questionnaire Section Name	Position 1-2	Questionnaire Section Name
FV	Formal Volunteering	GS	Giving Specifics
VS	Volunteer Specifics	RG	Reasons for Giving
VD	Volunteer Details	NG	Reasons for not Giving (more)
RV	Reasons for Volunteering	OG	Other Giving
ES	Employer Support	PA	Participating
SK	Skills gained from Volunteering	EA	Youth Experiences and Attitudes
NV	Reasons for Not Volunteering (more)	SD	Socio-demographics
IV	Informal Volunteer Activity	IN	Income
FG	Financial Giving to Charitable Organizations	AM	Administration
LF	Labour Force	GE	Geography
ED	Education	DH	Demographic Household
OT	Other

Note:	A few important variables do not follow the naming convention: e.g. MICRO_ID, ORGID and FINWGTH.

Position 3: Cycle / Year Variable

0	Static variable (e.g. dh0_sex, dh0_yob)

1	Cycle 1 (Year 2000)

2	Cycle 2 (Year 2001)

3	Cycle 3 (Year 2002)

0	Static variable (e.g. dh0_sex, dh0_yob)

1	Cycle 1 (Year 2003) New survey

2	Cycle 2 (Year 2004)

3	Cycle 3 (Year 2005)

Position 4: Variable Type

_	Collected variable	A variable that appeared directly on the questionnaire
C	Coded variable	A variable coded from one or more collected variables (e.g., NAICS, Standard Occupational Classification code)
D	Derived variable	A variable calculated from one or more collected or coded variables, usually calculated during head office processing (e.g., total hours volunteered)
F	Flag variable	A variable calculated from one or more collected variables (like a derived variable), but usually calculated by the computer application for later use during the interview (e.g., volunteer flag).
G	Grouped variable	Collected, coded, suppressed or derived variables collapsed into groups (e.g., age groups)

Positions 5-8: Variable Name/Number

In general, the last four positions follow the naming on the questionnaire. Numbers are used where possible: Q01 becomes 01. "Mark-all" questions use letters for each possible answer category: Q01 (mark all that apply) becomes 01A, 01B, 01C, etc. Demographic variables which are used frequently by analysts are identified by a three letter identifier, rather than by a question number; for example "age" is DH1_AGE in cycle 1 and DH2_AGE in cycle 2.

As a general rule, a leading zero was put in front of the question name if the number was less than 10 and no leading zero after 10. (e.g. 01, 02, 03 ,,, 10,11, 12 etc.)

13.0	Record Layout and Univariates

Main File

Administration:	MICRO_ID	Position:	1	Length:	5

Sequence number of record

Coverage:	All respondents

Geographic Variables:	GE1_PROV	Position:	6	Length:	2

Province

FREQ	WTD

10	Newfoundland	593	439,794

11	Prince Edward Island	437	109,944

12	Nova Scotia	1,056	749,927

13	New Brunswick	895	604,505

24	Québec	2,368	5,947,590

35	Ontario	4,520	9,329,190

46	Manitoba	1,175	860,303

47	Saskatchewan	1,351	763,745

48	Alberta	1,189	2,329,405

59	British Columbia	1,140	3,248,804

=======	==========

14,724	24,383,207

Coverage:	All respondents

Demographic Household:	DH1GAGE	Position:	8	Length:	1

Grouped Variable: Age group

FREQ	WTD

1	15-24 years	1,724	4,078,366

2	25-34 years	2,340	4,295,488

3	35-44 years	3,387	5,231,392

4	45-54 years	2,650	4,356,266

5	55-64 years	1,948	2,802,480

6	65 years and over	2,675	3,619,215

=======	==========

14,724	24,383,207

Coverage:	All respondents

Demographic Household:	DH0_SEX	Position:	9	Length:	1

Sex of respondent

FREQ	WTD

1	Male	6,422	11,978,497

2	Female	8,302	12,404,710

=======	==========

14,724	24,383,207

Coverage:	All respondents

Administration:	DH1GMS	Position:	10	Length:	1

Grouped Variable: Marital status

FREQ	WTD

1	Married/Common-law	8,712	15,068,653

2	Single, Never married	3,231	6,416,140

3	Widow/widower	1,296	1,293,466

4	Separated/Divorced	1,485	1,604,948

=======	==========

14,724	24,383,207

Coverage:	All respondents

Demographic Household:	DH1GEDLV	Position:	11	Length:	1

Grouped Variable: Highest level of education completed

FREQ	WTD

1	Less than high school	3,816	6,544,903

2	Graduated from high school	2,594	4,787,890

3	Some post secondary	1,293	2,239,731

4	Post secondary diploma	4,563	6,748,894

5	University Degree	2,458	4,061,790

=======	==========

14,724	24,383,207

Coverage:	All respondents

Demographic Household:	DH1GHHSZ	Position:	12	Length:	1

Grouped Variable: Household size

FREQ	WTD

1	1	3,148	3,002,932

2	2	5,014	7,762,790

3	3	2,455	4,998,695

4	4	2,632	5,131,382

5	5 and over	1,475	3,487,408

=======	==========

14,724	24,383,207

Coverage:	All respondents

Demographic Household:	DH1DKL18	Position:	13	Length:	1

Derived variable: Presence of one or more child in the household aged less than 18 years old

FREQ	WTD

1	Yes	4,532	7,229,724

2	No	10,192	17,153,483

=======	==========

14,724	24,383,207

Coverage:	All respondents

Administration:	AM1_MOI	Position:	14	Length:	2

Month of Interview

Allowed Min:	10	Allowed Max:	12

FREQ	WTD

10	October	5,224	7,700,042

11	November	7,870	13,125,979

12	December	1,630	3,557,187

=======	==========

14,724	24,383,207

Coverage:	All respondents

Administration:	AM1_DOI	Position:	16	Length:	2

Day of Interview

Allowed Min:	01	Allowed Max:	31

FREQ	WTD

01 : 31	14,724	24,383,207

=======	==========

14,724	24,383,207

Coverage:	All respondents

Administration:	AM1_YOI	Position:	18	Length:	4

Year of Interview

FREQ	WTD

2000	2000	14,724	24,383,207

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other:	AM1DVG	Position:	22	Length:	1

Derived Variable: Combined volunteer and giver status

FREQ	WTD

1	Volunteer and giver	7,687	5,923,455

2	Volunteer, not a giver	538	589,516

3	Not a Volunteer, but a giver	4,918	13,112,224

4	Neither volunteer nor giver	1,581	4,758,012

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_02	Position:	23	Length:	1

In the past 12 months, as an unpaid volunteer for an organization: ... did you do any canvassing, campaigning, or fundraising?

FREQ	WTD

1	Yes	3,495	2,627,513

2	No	11,225	21,754,404

7	Don't know	4	1,290

8	Refusal	0	0

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_03	Position:	24	Length:	1

... did you serve as an unpaid member of a board or committee?

FREQ	WTD

1	Yes	3,595	2,682,484

2	No	11,123	21,692,437

7	Don't know	5	8,184

8	Refusal	1	102

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_04	Position:	25	Length:	1

... did you provide information or help to educate, influence public opinion or lobby others?

FREQ	WTD

1	Yes	2,396	1,868,419

2	No	12,312	22,505,852

7	Don't know	13	4,714

8	Refusal	3	4,222

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_05	Position:	26	Length:	1

... did you help to organize or supervise activities or events for an organization?

FREQ	WTD

1	Yes	4,709	3,717,666

2	No	10,011	20,664,599

7	Don't know	3	841

8	Refusal	1	102

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_06	Position:	27	Length:	1

In the past 12 months, as an unpaid volunteer for an organization: ... did you do any consulting, executive, office, or administrative work?

FREQ	WTD

1	Yes	2,424	1,950,243

2	No	12,298	22,431,210

7	Don't know	1	1,652

8	Refusal	1	102

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_07	Position:	28	Length:	1

Teach or coach for an organization

FREQ	WTD

1	Yes	2,089	1,750,489

2	No	12,633	22,631,414

7	Don't know	1	1,203

8	Refusal	1	102

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_08	Position:	29	Length:	1

... did you provide care or support, including counselling and friendly visiting?

FREQ	WTD

1	Yes	2,219	1,723,734

2	No	12,501	22,657,700

7	Don't know	2	1,460

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_09	Position:	30	Length:	1

... did you provide any health care (not already mentioned) in a hospital or a senior citizens' home?

FREQ	WTD

1	Yes	607	481,810

2	No	14,114	23,899,155

8	Refusal	3	2,242

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_10	Position:	31	Length:	1

In the past 12 months, as an unpaid volunteer for an organization: ... did you provide assistance to anyone as a member of a self-help mutual aid group such as a single parents group, a bereaved parents group or AA?

FREQ	WTD

1	Yes	712	529,568

2	No	14,009	23,852,123

7	Don't know	1	1,203

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_11	Position:	32	Length:	1

... did you collect, serve, or deliver food or other goods?

FREQ	WTD

1	Yes	2,041	1,598,655

2	No	12,680	22,783,847

7	Don't know	1	391

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_12	Position:	33	Length:	1

... did you help to maintain, repair or build facilities?

FREQ	WTD

1	Yes	1,336	1,016,548

2	No	13,382	23,363,383

7	Don't know	4	2,962

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_13	Position:	34	Length:	1

... did you do volunteer driving?

FREQ	WTD

1	Yes	1,696	1,279,668

2	No	13,025	23,103,100

7	Don't know	1	125

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_14	Position:	35	Length:	1

In the past 12 months, as an unpaid volunteer for an organization: ... did you help with first-aid, fire-fighting or search and rescue?

FREQ	WTD

1	Yes	569	413,398

2	No	14,152	23,969,091

8	Refusal	3	718

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_15	Position:	36	Length:	1

... did you engage in any activities aimed at protecting the environment or wildlife?

FREQ	WTD

1	Yes	1,286	1,015,339

2	No	13,434	23,365,376

7	Don't know	2	2,179

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1_16	Position:	37	Length:	1

In the past 12 months, did you volunteer in an other way to a group or organization? (e.g. help given to schools, religious organizations, community associations, etc.)

FREQ	WTD

1	Yes - Specify	1,522	1,298,175

2	No	13,198	23,084,307

7	Don't know	2	412

8	Refusal	2	313

=======	==========

14,724	24,383,207

Coverage:	All respondents

Formal Volunteering:	FV1FVOL	Position:	38	Length:	1

Volunteer Flag

FREQ	WTD

1	Volunteer	8,225	6,512,971

2	Non-volunteer (screened in)	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	All respondents

Note:	Answered at least one 'Yes' to FV1_02 to FV1_16

Volunteer Specifics:	VS1_01	Position:	39	Length:	2

In the past 12 months, for how many organizations did you volunteer?

Allowed Min:	01	Allowed Max:	20

FREQ	WTD

01 : 20	8,225	6,512,971

96	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHRS	Position:	41	Length:	4

Derived variable: Total number of hours volunteered

FREQ	WTD

0001 : 4800	8,225	6,512,971

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Note:	Includes additional hours reported in VD1_09

Volunteer Details:	VD1DNE01	Position:	45	Length:	1

Derived variable: Number of volunteer events: Culture and Recreation

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	5,582	4,536,270

1	1 event	2,176	1,636,232

2	2 events	410	306,385

3	3 events	57	34,084

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR01	Position:	46	Length:	4

Derived variable: Total hours volunteered: Culture and Recreation

FREQ	WTD

0001 : 2912	2,643	1,976,701

0000	No hours	5,582	4,536,270

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE02	Position:	50	Length:	1

Derived variable: Number of volunteer events: Education and Research

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	6,779	5,274,590

1	1 event	1,348	1,158,193

2	2 events	89	74,272

3	3 events	9	5,915

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR02	Position:	51	Length:	4

Derived variable: Total hours volunteered: Education and Research

FREQ	WTD

0001 : 3135	1,446	1,238,381

0000	No hours	6,779	5,274,590

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE03	Position:	55	Length:	1

Derived variable: Number of volunteer events: Health

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	6,795	5,408,232

1	1 event	1,242	959,044

2	2 events	161	124,579

3	3 events	27	21,116

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR03	Position:	56	Length:	4

Derived variable: Total hours volunteered: Health

FREQ	WTD

0001 : 4800	1,430	1,104,739

0000	No hours	6,795	5,408,232

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE04	Position:	60	Length:	1

Derived variable: Number of volunteer events: Social Services

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	5,889	4,732,670

1	1 event	2,067	1,594,958

2	2 events	245	163,954

3	3 events	24	21,389

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR04	Position:	61	Length:	4

Derived variable: Total hours volunteered: Social Services

FREQ	WTD

0001 : 3128	2,336	1,780,301

0000	No hours	5,889	4,732,670

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE05	Position:	65	Length:	1

Derived variable: Number of volunteer events: Environment

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	7,888	6,259,903

1	1 event	306	229,280

2	2 events	27	19,164

3	3 events	4	4,624

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR05	Position:	66	Length:	4

Derived variable: Total hours volunteered: Environment

FREQ	WTD

0001 : 1922	337	253,068

0000	No hours	7,888	6,259,903

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE06	Position:	70	Length:	1

Derived variable: Number of volunteer events: Development and Housing

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	7,645	6,030,495

1	1 event	557	463,515

2	2 events	22	18,276

3	3 events	1	685

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR06	Position:	71	Length:	4

Derived variable: Total hours volunteered: Development and Housing

FREQ	WTD

0001 : 1680	580	482,476

0000	No hours	7,645	6,030,495

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE07	Position:	75	Length:	1

Derived variable: Number of volunteer events: Law, Advocacy and Politics

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	7,839	6,198,482

1	1 event	364	301,710

2	2 events	21	11,577

3	3 events	1	1,203

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR07	Position:	76	Length:	4

Derived variable: Total hours volunteered: Law, Advocacy and Politics

FREQ	WTD

0001 : 2600	386	314,489

0000	No hours	7,839	6,198,482

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE08	Position:	80	Length:	1

Derived variable: Number of volunteer events: Philanthropic Intermediaries and Voluntarism Promotion

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	7,979	6,288,548

1	1 event	244	223,387

2	2 events	2	1,036

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR08	Position:	81	Length:	4

Derived variable: Total hours volunteered: Philanthropic Intermediaries and Voluntarism Promotion

FREQ	WTD

0001 : 0805	246	224,423

0000	No hours	7,979	6,288,548

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE09	Position:	85	Length:	1

Derived variable: Number of volunteer events: International

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	8,140	6,431,249

1	1 event	83	76,788

2	2 events	2	4,934

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR09	Position:	86	Length:	4

Derived variable: Total hours volunteered: International

FREQ	WTD

0001 : 1008	85	81,722

0000	No hours	8,140	6,431,249

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE10	Position:	90	Length:	1

Derived variable: Number of volunteer events: Religion

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	6,423	5,166,395

1	1 event	1,682	1,255,349

2	2 events	113	85,720

3	3 events	7	5,507

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR10	Position:	91	Length:	4

Derived variable: Total hours volunteered: Religion

FREQ	WTD

0001 : 2734	1,802	1,346,576

0000	No hours	6,423	5,166,395

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE11	Position:	95	Length:	1

Derived variable: Number of volunteer events: Business and Professional Associations and Unions

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	7,945	6,300,618

1	1 event	261	195,297

2	2 events	19	17,056

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR11	Position:	96	Length:	4

Derived variable: Total hours volunteered: Business and Professional Associations and Unions

FREQ	WTD

0001 : 1100	280	212,353

0000	No hours	7,945	6,300,618

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DNE12	Position:	100	Length:	1

Derived variable: Number of volunteer events: Not Elsewhere Classified

Allowed Min:	0	Allowed Max:	3

FREQ	WTD

0	No events	8,105	6,408,492

1	1 event	115	98,863

2	2 events	5	5,616

6	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Volunteer Details:	VD1DHR12	Position:	101	Length:	4

Derived variable: Total hours volunteered: Not Elsewhere Classified

FREQ	WTD

0001 : 2370	120	104,479

0000	No hours	8,105	6,408,492

9996	Valid skip	6,499	17,870,236

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Formal Volunteer Con'd:	FV1_17	Position:	105	Length:	3

In the past 12 months, how many additional hours did you volunteer for the remaining organization(s)?

Allowed Min:	001	Allowed Max:	100

FREQ	WTD

001 : 100	561	404,275

996	Valid skip	14,163	23,978,932

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Formal Volunteer Con'd:	FV1_18	Position:	108	Length:	1

Over the past year, when did you do most of your volunteering?

FREQ	WTD

1	On weekday(s) (Monday to Friday)	3,734	2,954,374

2	On Saturdays	310	264,599

3	On Sundays	262	196,694

4	Saturdays and Sundays	1,089	919,451

5	Mixture	2,637	1,999,782

6	Valid skip	6,499	17,870,236

7	Don't know	46	50,195

8	Refusal	25	11,632

9	Not stated	122	116,245

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Formal Volunteer Con'd:	FV1_19	Position:	109	Length:	1

At what time of the day did you do most of your volunteering?

FREQ	WTD

1	All day long	836	681,566

2	Morning	914	756,315

3	Afternoon	1,297	1,056,378

4	Evening	2,483	1,929,066

5	Varied	2,508	1,916,316

6	Valid skip	6,499	17,870,236

7	Don't know	34	40,625

8	Refusal	25	13,876

9	Not stated	128	118,829

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_02	Position:	110	Length:	1

The reason that you volunteer is: ... to help a cause in which you personally believe.

FREQ	WTD

1	Agree	7,706	6,023,111

2	Disagree	334	327,201

6	Valid skip	6,499	17,870,236

7	Don't know	6	3,735

8	Refusal	25	13,567

9	Not stated	154	145,356

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_03	Position:	111	Length:	1

... because you have been personally affected or know someone who has been personally affected by the cause the organization supports.

FREQ	WTD

1	Agree	5,688	4,354,036

2	Disagree	2,323	1,974,589

6	Valid skip	6,499	17,870,236

7	Don't know	32	20,180

8	Refusal	24	16,082

9	Not stated	158	148,084

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_04	Position:	112	Length:	1

... because your friends volunteer.

FREQ	WTD

1	Agree	2,403	1,917,204

2	Disagree	5,632	4,427,657

6	Valid skip	6,499	17,870,236

7	Don't know	6	3,982

8	Refusal	25	15,263

9	Not stated	159	148,865

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_05	Position:	113	Length:	1

... to improve your job opportunities.

FREQ	WTD

1	Agree	1,695	1,438,375

2	Disagree	6,328	4,899,838

6	Valid skip	6,499	17,870,236

7	Don't know	18	10,630

8	Refusal	25	15,263

9	Not stated	159	148,865

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_06	Position:	114	Length:	1

The reason that you volunteer is: ... to fulfill religious obligations or beliefs.

FREQ	WTD

1	Agree	2,348	1,675,002

2	Disagree	5,676	4,658,363

6	Valid skip	6,499	17,870,236

7	Don't know	13	13,970

8	Refusal	27	16,148

9	Not stated	161	149,488

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_07	Position:	115	Length:	1

... to explore your own strengths.

FREQ	WTD

1	Agree	4,685	3,626,076

2	Disagree	3,316	2,703,192

6	Valid skip	6,499	17,870,236

7	Don't know	35	17,785

8	Refusal	26	15,594

9	Not stated	163	150,325

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_08	Position:	116	Length:	1

... to use your skills and experiences.

FREQ	WTD

1	Agree	6,565	5,134,298

2	Disagree	1,464	1,209,205

6	Valid skip	6,499	17,870,236

7	Don't know	8	3,880

8	Refusal	25	15,263

9	Not stated	163	150,325

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons for Volunteering:	RV1_09	Position:	117	Length:	1

In the past 12 months, were you required to volunteer by your school, your employer or by government, for example, to earn a high school credit or for a community service order, etc.?

FREQ	WTD

1	Yes	571	483,948

2	No	7,455	5,857,359

6	Valid skip	6,499	17,870,236

7	Don't know	10	5,956

8	Refusal	24	14,838

9	Not stated	165	150,870

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Employer Support:	ES1_01	Position:	118	Length:	1

In the past 12 months, did you get any of the following types of support from your employer to help with your volunteer activities: Did your employer give you: ... approval for use of facilities or equipment for your volunteer activities?

FREQ	WTD

1	Yes	1,354	1,062,480

2	No	3,381	2,917,453

6	Valid skip	9,834	20,258,614

7	Don't know	17	14,059

8	Refusal	10	7,461

9	Not stated	128	123,139

=======	==========

14,724	24,383,207

Coverage:	Volunteers who are employees

Employer Support:	ES1_02	Position:	119	Length:	1

... approval to take time off or the opportunity to spend some time doing volunteer work while on the job?

FREQ	WTD

1	Yes	1,330	1,045,173

2	No	3,395	2,928,476

6	Valid skip	9,834	20,258,614

7	Don't know	23	16,221

8	Refusal	13	9,116

9	Not stated	129	125,606

=======	==========

14,724	24,383,207

Coverage:	Volunteers who are employees

Employer Support:	ES1_03	Position:	120	Length:	1

... approval to change work hours to spend time volunteering?

FREQ	WTD

1	Yes	1,231	984,382

2	No	3,493	2,984,807

6	Valid skip	9,834	20,258,614

7	Don't know	24	18,709

8	Refusal	12	9,628

9	Not stated	130	127,067

=======	==========

14,724	24,383,207

Coverage:	Volunteers who are employees

Employer Support:	ES1_04	Position:	121	Length:	1

... recognition or a letter of thanks for your volunteer activities?

FREQ	WTD

1	Yes	1,052	857,611

2	No	3,682	3,118,250

6	Valid skip	9,834	20,258,614

7	Don't know	17	14,458

8	Refusal	9	7,207

9	Not stated	130	127,067

=======	==========

14,724	24,383,207

Coverage:	Volunteers who are employees

Employer Support:	ES1_05	Position:	122	Length:	1

Did you receive any other formal support from your employer for your volunteer activities?

FREQ	WTD

1	Yes	298	255,648

2	No	4,436	3,722,212

6	Valid skip	9,834	20,258,614

7	Don't know	17	12,459

8	Refusal	9	7,207

9	Not stated	130	127,067

=======	==========

14,724	24,383,207

Coverage:	Volunteers who are employees

Employer Support:	ES1_06A	Position:	123	Length:	1

What other type of formal support? - Donated prizes, gift certificates, food, etc.

FREQ	WTD

1	Yes	118	95,067

2	No	176	158,213

6	Valid skip	14,270	23,980,826

7	Don't know	4	2,368

9	Not stated	156	146,733

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered ES1_05=1

Employer Support:	ES1_06B	Position:	124	Length:	1

What other type of formal support? - Donated t-shirts, company goods, etc.

FREQ	WTD

1	Yes	39	30,529

2	No	255	222,751

6	Valid skip	14,270	23,980,826

7	Don't know	4	2,368

9	Not stated	156	146,733

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered ES1_05=1

Employer Support:	ES1_06C	Position:	125	Length:	1

What other type of formal support? - Donated financially to the organization

FREQ	WTD

1	Yes	99	80,886

2	No	195	172,395

6	Valid skip	14,270	23,980,826

7	Don't know	4	2,368

9	Not stated	156	146,733

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered ES1_05=1

Employer Support:	ES1_06D	Position:	126	Length:	1

What other type of formal support? - Provided transportation

FREQ	WTD

1	Yes	21	13,393

2	No	273	239,887

6	Valid skip	14,270	23,980,826

7	Don't know	4	2,368

9	Not stated	156	146,733

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered ES1_05=1

Employer Support:	ES1_06E	Position:	127	Length:	1

What other type of formal support? - Sponsored an event, paid entry fee, membership fee, etc.

FREQ	WTD

1	Yes	94	85,861

2	No	200	167,419

6	Valid skip	14,270	23,980,826

7	Don't know	4	2,368

9	Not stated	156	146,733

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered ES1_05=1

Employer Support:	ES1_06F	Position:	128	Length:	1

What other type of formal support? - Other

FREQ	WTD

1	Yes	2	514

2	No	292	252,767

6	Valid skip	14,270	23,980,826

7	Don't know	4	2,368

9	Not stated	156	146,733

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered ES1_05=1

Skills gained-Volunteer:	SK1_01	Position:	129	Length:	1

Have your activities as a volunteer given you any new skills that you can apply directly to your job (or business)?

FREQ	WTD

1	Yes	2,168	1,787,489

2	No	3,522	2,984,809

6	Valid skip	8,848	19,449,659

7	Don't know	7	4,956

8	Refusal	9	9,729

9	Not stated	170	146,565

=======	==========

14,724	24,383,207

Coverage:	Volunteers who are employees, self-employed or in a family business

Skills gained-Volunteer:	SK1_02	Position:	130	Length:	1

Have your volunteer activities provided you with: ... fundraising skills?

FREQ	WTD

1	Yes	3,773	2,849,500

2	No	4,234	3,474,920

6	Valid skip	6,499	17,870,236

7	Don't know	16	10,545

8	Refusal	27	16,820

9	Not stated	175	161,186

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_03	Position:	131	Length:	1

... technical or office skills, for example, first aid, coaching techniques, computer, how to do the books or catalogue in a library, etc.?

FREQ	WTD

1	Yes	2,495	2,081,757

2	No	5,524	4,252,588

6	Valid skip	6,499	17,870,236

7	Don't know	4	732

8	Refusal	26	16,325

9	Not stated	176	161,569

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_04	Position:	132	Length:	1

... organizational skills or managerial skills, for example, how to organize people or money, to be a leader, to plan, to run an organization, etc.?

FREQ	WTD

1	Yes	4,562	3,620,665

2	No	3,451	2,709,250

6	Valid skip	6,499	17,870,236

7	Don't know	8	4,279

8	Refusal	26	16,325

9	Not stated	178	162,452

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_05	Position:	133	Length:	1

Have your volunteer activities provided you with: ... increased knowledge, for example, about health, women's issues, political issues, criminal justice, the environment, etc.?

FREQ	WTD

1	Yes	5,118	4,013,227

2	No	2,892	2,315,889

6	Valid skip	6,499	17,870,236

7	Don't know	8	2,418

8	Refusal	28	17,793

9	Not stated	179	163,645

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_06	Position:	134	Length:	1

... communication skills, for example, public speaking, writing, public relations, conducting meetings, etc.?

FREQ	WTD

1	Yes	5,414	4,281,777

2	No	2,598	2,047,740

6	Valid skip	6,499	17,870,236

7	Don't know	3	680

8	Refusal	28	16,994

9	Not stated	182	165,780

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_07	Position:	135	Length:	1

... interpersonal skills, for example, understand children or other people better, to motivate them, to deal with difficult situations, confidence, compassion, patience, etc.?

FREQ	WTD

1	Yes	6,310	4,973,024

2	No	1,689	1,350,015

6	Valid skip	6,499	17,870,236

7	Don't know	13	5,718

8	Refusal	29	17,083

9	Not stated	184	167,131

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_08	Position:	136	Length:	1

... some other skill or knowledge?

FREQ	WTD

1	Yes - Specify	6	5,977

2	No	7,990	6,312,698

6	Valid skip	6,499	17,870,236

7	Don't know	16	9,929

8	Refusal	28	17,155

9	Not stated	185	167,212

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Skills gained-Volunteer:	SK1_09	Position:	137	Length:	1

Do you think your volunteer activities have helped your chances of success in your paid job (or business)?

FREQ	WTD

1	Yes	1,663	1,353,499

2	No	3,347	2,845,550

6	Valid skip	9,503	20,026,972

7	Don't know	26	18,593

8	Refusal	9	8,430

9	Not stated	176	130,163

=======	==========

14,724	24,383,207

Coverage:	Volunteers employed at work, absent from work or on temporary layoff

Skills gained-Volunteer:	SK1_10	Position:	138	Length:	1

Do you think your volunteer activities will help your chances of finding a job?

FREQ	WTD

1	Yes	157	125,888

2	No	110	78,429

6	Valid skip	14,440	24,166,290

7	Don't know	5	2,044

9	Not stated	12	10,555

=======	==========

14,724	24,383,207

Coverage:	Volunteers seeking a job

Skills gained-Volunteer:	SK1_11	Position:	139	Length:	1

Have your volunteer activities ever helped you to obtain employment?

FREQ	WTD

1	Yes	1,109	900,443

2	No	6,860	5,393,533

6	Valid skip	6,499	17,870,236

7	Don't know	39	32,367

8	Refusal	28	16,797

9	Not stated	189	169,831

=======	==========

14,724	24,383,207

Coverage:	Volunteers

Reasons - Not Volunteer:	NV1_02	Position:	140	Length:	1

The reason that you do not volunteer (more) is: ... because you feel that you have already made your contribution to volunteering.

FREQ	WTD

1	Agree	3,968	5,156,691

2	Disagree	9,660	16,418,208

7	Don't know	92	203,941

8	Refusal	105	131,561

9	Not stated	899	2,472,806

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_03	Position:	141	Length:	1

... because you do not have any extra time.

FREQ	WTD

1	Agree	9,473	15,414,006

2	Disagree	4,180	6,235,955

7	Don't know	44	55,254

8	Refusal	101	141,260

9	Not stated	926	2,536,732

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_04	Position:	142	Length:	1

... because you have health problems or are physically unable.

FREQ	WTD

1	Agree	3,025	4,682,968

2	Disagree	10,634	16,969,545

7	Don't know	31	39,126

8	Refusal	96	137,671

9	Not stated	938	2,553,898

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_05	Position:	143	Length:	1

... because no one you know has personally asked you.

FREQ	WTD

1	Agree	3,303	6,645,618

2	Disagree	10,325	14,925,921

7	Don't know	42	65,948

8	Refusal	101	140,973

9	Not stated	953	2,604,747

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_06	Position:	144	Length:	1

The reason that you do not volunteer (more) is: ... because you do not know how to become involved.

FREQ	WTD

1	Agree	1,681	3,601,512

2	Disagree	11,918	17,908,223

7	Don't know	50	82,080

8	Refusal	105	146,760

9	Not stated	970	2,644,633

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_07	Position:	145	Length:	1

... because of the financial cost of volunteering.

FREQ	WTD

1	Agree	2,191	3,644,775

2	Disagree	11,373	17,807,714

7	Don't know	71	115,197

8	Refusal	105	144,025

9	Not stated	984	2,671,495

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_08	Position:	146	Length:	1

... because of concerns that you could be sued or taken to court due to volunteer activities.

FREQ	WTD

1	Agree	882	1,428,466

2	Disagree	12,683	20,016,202

7	Don't know	65	102,249

8	Refusal	105	151,744

9	Not stated	989	2,684,546

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_09	Position:	147	Length:	1

... because you have no interest.

FREQ	WTD

1	Agree	2,578	4,726,917

2	Disagree	10,991	16,729,996

7	Don't know	61	99,302

8	Refusal	102	140,264

9	Not stated	992	2,686,727

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_10	Position:	148	Length:	1

The reason that you do not volunteer (more) is: ... because you give money instead of time.

FREQ	WTD

1	Agree	4,157	7,181,582

2	Disagree	9,375	14,189,234

7	Don't know	77	132,377

8	Refusal	115	153,383

9	Not stated	1,000	2,726,631

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_11	Position:	149	Length:	1

... because you are unwilling to make a year-round commitment.

FREQ	WTD

1	Agree	5,218	9,076,939

2	Disagree	8,316	12,298,998

7	Don't know	68	106,877

8	Refusal	113	148,847

9	Not stated	1,009	2,751,547

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons - Not Volunteer:	NV1_12	Position:	150	Length:	1

... because you were dissatisfied with a previous volunteer experience.

FREQ	WTD

1	Agree	1,023	1,708,516

2	Disagree	12,514	19,635,223

7	Don't know	59	116,792

8	Refusal	107	137,822

9	Not stated	1,021	2,784,856

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_02	Position:	151	Length:	1

In the past 12 months did you help anyone on your own: ... with housework such as cooking or cleaning?

FREQ	WTD

1	Yes	5,594	8,221,973

2	No	7,854	12,982,433

7	Don't know	21	37,898

8	Refusal	118	147,927

9	Not stated	1,137	2,992,976

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_03	Position:	152	Length:	1

... with yard or maintenance work, such as gardening, painting or snow shovelling?

FREQ	WTD

1	Yes	5,639	7,954,069

2	No	7,806	13,234,765

7	Don't know	19	31,328

8	Refusal	116	145,885

9	Not stated	1,144	3,017,160

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_04	Position:	153	Length:	1

... with shopping, or driving someone to appointments or stores?

FREQ	WTD

1	Yes	6,700	9,287,363

2	No	6,735	11,879,412

7	Don't know	23	38,624

8	Refusal	118	148,341

9	Not stated	1,148	3,029,467

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_05	Position:	154	Length:	1

... by providing care or support to the sick or elderly?

FREQ	WTD

1	Yes	5,108	6,823,350

2	No	8,327	14,344,895

7	Don't know	20	33,139

8	Refusal	119	151,038

9	Not stated	1,150	3,030,785

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_06	Position:	155	Length:	1

Was any of this care provided to someone recovering from a short-term illness, as a result of being discharged early from a hospital?

FREQ	WTD

1	Yes	1,552	1,979,093

2	No	3,531	4,813,681

6	Valid skip	8,327	14,344,895

7	Don't know	10	17,614

8	Refusal	1	331

9	Not stated	1,303	3,227,592

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered IV1_05=1

Informal Volunteering:	IV1_07	Position:	156	Length:	1

In the past 12 months did you help anyone on your own: ... by visiting the elderly? Remember, this is on your own, not for an organization. Exclude help given to anyone living in your household.

FREQ	WTD

1	Yes	5,797	7,355,323

2	No	7,628	13,792,954

7	Don't know	24	46,358

8	Refusal	120	152,108

9	Not stated	1,155	3,036,463

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_08	Position:	157	Length:	1

... by babysitting without being paid?

FREQ	WTD

1	Yes	6,218	8,297,356

2	No	7,208	12,852,651

7	Don't know	21	43,412

8	Refusal	120	152,108

9	Not stated	1,157	3,037,680

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_09	Position:	158	Length:	1

... by writing letters for someone, solving problems, finding information or filling out forms?

FREQ	WTD

1	Yes	4,374	6,109,107

2	No	9,045	15,020,468

7	Don't know	24	51,820

8	Refusal	122	155,155

9	Not stated	1,159	3,046,657

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_10	Position:	159	Length:	1

... by doing any unpaid teaching or coaching?

FREQ	WTD

1	Yes	2,591	3,223,587

2	No	10,829	17,907,543

7	Don't know	21	43,965

8	Refusal	121	154,271

9	Not stated	1,162	3,053,842

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_11	Position:	160	Length:	1

In the past 12 months did you help anyone on your own: ... in the operation of a business or with farm work? Remember, this is on your own, not for an organization. Exclude help given to anyone living in your household.

FREQ	WTD

1	Yes	2,016	2,486,089

2	No	11,398	18,636,738

7	Don't know	22	46,678

8	Refusal	121	154,271

9	Not stated	1,167	3,059,431

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_12	Position:	161	Length:	1

In the past 12 months, not counting financial help, did you help in any other way on your own, not through an organization? (Remember to exclude any help given to people who live with you and to exclude help already mentioned.)

FREQ	WTD

1	Yes	2,405	3,537,011

2	No	10,983	17,551,320

7	Don't know	48	81,333

8	Refusal	120	153,296

9	Not stated	1,168	3,060,248

=======	==========

14,724	24,383,207

Coverage:	All respondents

Informal Volunteering:	IV1_13	Position:	162	Length:	1

In what way?

FREQ	WTD

1	Counseling or moral support (e.g. during a break-up or a

death)	795	1,131,688

2	Helped someone move	306	490,552

3	Baked or cooked food	147	199,077

4	Renovations e.g. built a deck, helped paint, etc.	291	372,676

5	Other - Specify	839	1,289,671

6	Valid skip	10,983	17,551,320

7	Don't know	26	53,002

8	Refusal	1	345

9	Not stated	1,336	3,294,877

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered IV1_12=1

Informal Volunteering:	IV1_14	Position:	163	Length:	1

Of the individuals you helped on your own, were any of them relatives who did not live with you?

FREQ	WTD

1	Yes	7,254	10,248,851

2	No	3,985	5,974,837

6	Valid skip	2,164	4,890,174

7	Don't know	6	15,449

8	Refusal	1	1,070

9	Not stated	1,314	3,252,826

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered any one of IV1_02 to IV1_12=1

Informal Volunteering:	IV1_15	Position:	164	Length:	1

(Of the individuals you helped on your own,) were any of them not relatives?

FREQ	WTD

1	Yes	9,113	12,753,814

2	No	2,123	3,466,175

6	Valid skip	2,164	4,890,174

7	Don't know	7	18,138

8	Refusal	2	1,574

9	Not stated	1,315	3,253,332

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered any one of IV1_02 to IV1_12=1

Informal Volunteering:	IV1FIV	Position:	165	Length:	1

Informal Volunteer flag

FREQ	WTD

1	Yes	11,262	16,265,487

2	No	2,164	4,890,174

9	Not stated	1,298	3,227,546

=======	==========

14,724	24,383,207

Coverage:	All respondents

Note:	Answered "yes" to at least one of IV1_02 TO IV1_05, IV1_07 TO IV1_12

Financial Giving:	FG1_02	Position:	166	Length:	1

How are decisions made about financial giving in your household - do you or your spouse or partner each make your own decisions about the charitable organizations to which you donate, make joint decisions, or is it a mixture of both?

FREQ	WTD

1	Each decide on own	2,321	4,507,313

2	Joint decisions	3,385	5,830,549

3	Mixture	2,953	4,615,274

6	Valid skip	6,012	9,314,554

7	Don't know	24	56,693

8	Refusal	17	44,050

9	Not stated	12	14,774

=======	==========

14,724	24,383,207

Coverage:	Respondents who are married or common-law

Note:	It is assumed that decisions are 'on own' if not married or living common-law.

Financial Giving:	FG1_06	Position:	167	Length:	1

In the past 12 months, have you made a charitable donation: ... by responding to a request through the mail?

FREQ	WTD

1	Yes	4,310	6,030,821

2	No	10,414	18,352,386

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND06	Position:	168	Length:	2

Derived variable: Number of Donations: Request through the mail

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 55	4,310	6,030,821

00	No donations	8,295	13,004,858

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD06	Position:	170	Length:	5

Derived variable: Amount of Donations: Request through the mail

FREQ	WTD

00001 : 21675	4,310	6,030,821

00000	None	8,295	13,004,858

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_07	Position:	175	Length:	1

(In the past 12 months,) have you made a charitable donation: ... by paying to attend a charity event? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	3,637	4,501,050

2	No	11,087	19,882,157

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND07	Position:	176	Length:	2

Derived variable: Number of Donations: Paying to attend a charity event

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 24	3,637	4,501,050

00	No donations	8,968	14,534,629

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD07	Position:	178	Length:	5

Derived variable: Amount of donations: Paying to attend a charity event

FREQ	WTD

00001 : 05000	3,637	4,501,050

00000	None	8,968	14,534,629

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_08	Position:	183	Length:	1

(In the past 12 months,) have you made a charitable donation: ... by using payroll deductions? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	1,310	2,042,469

2	No	6,017	10,950,399

6	Valid skip	7,397	11,390,339

=======	==========

14,724	24,383,207

Coverage:	Respondents who are employees and employed at work or absent from work

Financial Giving:	FG1DND08	Position:	184	Length:	2

Derived variable: Number of Donations: Payroll deductions

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 08	1,310	2,042,469

00	No donations	5,181	8,485,231

96	Valid skip	8,233	13,855,508

=======	==========

14,724	24,383,207

Coverage:	Givers who are employees and employed at work or absent from work

Financial Giving:	FG1DAD08	Position:	186	Length:	5

Derived variable: Amount of donations: Payroll deductions

FREQ	WTD

00001 : 05000	1,310	2,042,469

00000	None	5,181	8,485,231

99996	Valid skip	8,233	13,855,508

=======	==========

14,724	24,383,207

Coverage:	Givers who are employees and employed at work or absent from work

Financial Giving:	FG1_09	Position:	191	Length:	1

Is it possible to make charitable donations through payroll deductions at your place of work?

FREQ	WTD

1	Yes	1,898	3,000,944

2	No	3,341	6,617,482

6	Valid skip	8,707	13,432,808

7	Don't know	647	1,059,874

8	Refusal	47	129,866

9	Not stated	84	142,233

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered FG1_08=2

Financial Giving:	FG1_10	Position:	192	Length:	1

(In the past 12 months,) have you made a charitable donation: ... by sponsoring someone in an event such as a walk-a-thon? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	7,097	8,941,550

2	No	7,627	15,441,657

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND10	Position:	193	Length:	2

Derived variable: Number of Donations: Sponsoring an event

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 12	7,097	8,941,551

00	No donations	5,508	10,094,129

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD10	Position:	195	Length:	5

Derived variable: Amount of donations: Sponsoring an event

FREQ	WTD

00001 : 01350	7,097	8,941,550

00000	None	5,508	10,094,129

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_11	Position:	200	Length:	1

In the past 12 months, have you made a charitable donation: ... that was 'in memoriam' or a donation in the name of someone who has passed away? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	3,935	4,686,383

2	No	10,789	19,696,824

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND11	Position:	201	Length:	2

Derived variable: Number of donations: In memoriam

Allowed Min:	01	Allowed Max:	55

FREQ	WTD

01 : 09	3,935	4,686,383

00	No donations	8,670	14,349,297

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD11	Position:	203	Length:	5

Derived variable: Amount of donations: In memoriam

FREQ	WTD

00001 : 05000	3,935	4,686,383

00000	None	8,670	14,349,297

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_12	Position:	208	Length:	1

(In the past 12 months,) have you made a charitable donation: ... when asked by someone at work? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	2,283	3,217,067

2	No	12,441	21,166,140

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND12	Position:	209	Length:	2

Derived variable: Number of Donations: Asked by someone at work

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 05	2,283	3,217,067

00	No donations	10,322	15,818,612

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD12	Position:	211	Length:	5

Derived variable: Amount of donations: Asked by someone at work

FREQ	WTD

00001 : 01500	2,283	3,217,067

00000	None	10,322	15,818,612

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_13	Position:	216	Length:	1

(In the past 12 months, have you made a charitable donation:) ... when asked by someone doing door-to-door canvassing? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	5,851	7,257,244

2	No	8,873	17,125,963

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND13	Position:	217	Length:	2

Derived variable: Number of Donations: Door-to-door canvassing

Allowed Min:	01	Allowed Max:	55

FREQ	WTD

01 : 11	5,851	7,257,244

00	No donations	6,754	11,778,435

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD13	Position:	219	Length:	5

Derived variable: Amount of donations: Door-to-door canvassing

FREQ	WTD

00001 : 03000	5,851	7,257,244

00000	None	6,754	11,778,435

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_14	Position:	224	Length:	1

(In the past 12 months, have you made a charitable donation:) ... when asked by someone canvassing for a charitable organization at a shopping centre, on a street or street corner? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	3,391	5,144,845

2	No	11,333	19,238,362

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND14	Position:	225	Length:	2

Derived variable: Number of Donations: Canvassing at shopping centre or street

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 09	3,391	5,144,845

00	No donations	9,214	13,890,834

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD14	Position:	227	Length:	5

Derived variable: Amount of donations: Canvassing at shopping centre or street

FREQ	WTD

00001 : 00650	3,391	5,144,845

00000	None	9,214	13,890,834

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_15	Position:	232	Length:	1

In the past 12 months, have you made a charitable donation: ... by responding to a telephone request? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	1,382	1,793,014

2	No	13,342	22,590,193

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND15	Position:	233	Length:	2

Derived variable: Number of Donations: Telephone Request

Allowed Min:	01	Allowed Max:	55

FREQ	WTD

01 : 11	1,382	1,793,014

00	No donations	11,223	17,242,665

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD15	Position:	235	Length:	5

Derived variable: Amount of donations: Telephone Request

FREQ	WTD

00001 : 01500	1,382	1,793,014

00000	None	11,223	17,242,665

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_16	Position:	240	Length:	1

(In the past 12 months, have you made a charitable donation:) ... through a collection at a church, synagogue, mosque or other place of worship? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	5,623	7,389,077

2	No	9,101	16,994,130

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND16	Position:	241	Length:	2

Derived variable: Number of Donations: Place of worship

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 07	5,623	7,389,077

00	No donations	6,982	11,646,602

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD16	Position:	243	Length:	5

Derived variable: Amount of donations: Place of worship

FREQ	WTD

00001 : 13000	5,623	7,389,077

00000	None	6,982	11,646,602

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_17	Position:	248	Length:	1

(In the past 12 months, have you made a charitable donation:) ... by responding to a television or radio request or a telethon? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	1,210	1,550,817

2	No	13,514	22,832,390

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND17	Position:	249	Length:	2

Derived variable: Number of Donations: TV, Radio Request, Telethon

Allowed Min:	01	Allowed Max:	55

FREQ	WTD

01 : 03	1,210	1,550,817

00	No donations	11,395	17,484,862

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD17	Position:	251	Length:	5

Derived variable: Amount of donations: TV, Radio Request, Telethon

FREQ	WTD

00001 : 02500	1,210	1,550,817

00000	None	11,395	17,484,862

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_18	Position:	256	Length:	1

(In the past 12 months have you made a charitable donation:) ... by approaching a non-profit or charitable organization on your own? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	907	1,246,035

2	No	13,817	23,137,172

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND18	Position:	257	Length:	2

Derived variable: Number of Donations: Approach organization on own

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 14	907	1,246,035

00	No donations	11,698	17,789,644

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD18	Position:	259	Length:	5

Derived variable: Amount of Donations: Approach organization on own

FREQ	WTD

00001 : 10150	907	1,246,035

00000	None	11,698	17,789,644

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_19	Position:	264	Length:	1

(In the past 12 months have you made a charitable donation:) ... by donating any stocks or stock options to a charitable or non-profit organization? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	29	29,856

2	No	14,695	24,353,351

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND19	Position:	265	Length:	2

Derived variable: Number of Donations: Stocks or stock options

Allowed Min:	01	Allowed Max:	55

FREQ	WTD

01 : 01	29	29,856

00	No donations	12,576	19,005,823

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD19	Position:	267	Length:	5

Derived variable: Amount of Donations: Stocks or stock options

FREQ	WTD

00001 : 10000	29	29,856

00000	None	12,576	19,005,823

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_20	Position:	272	Length:	1

(In the past 12 months have you made a charitable donation:) ... through the internet? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	30	42,713

2	No	14,694	24,340,494

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND20	Position:	273	Length:	2

Derived variable: Number of Donations: Through the internet

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 01	30	42,713

00	No donations	12,575	18,992,966

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD20	Position:	275	Length:	5

Derived variable: Amount of Donations: Through the internet

FREQ	WTD

00001 : 00250	30	42,713

00000	None	12,575	18,992,966

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1_21	Position:	280	Length:	1

In the past 12 months, are there any other methods in which you may have given money to a charitable or non-profit organization? Do not include any donations you have already mentioned.

FREQ	WTD

1	Yes	630	903,528

2	No	14,094	23,479,679

=======	==========

14,724	24,383,207

Coverage:	All respondents

Financial Giving:	FG1DND21	Position:	281	Length:	2

Derived variable: Number of Donations: Other Solicitation Method

Allowed Min:	00	Allowed Max:	55

FREQ	WTD

01 : 06	630	903,528

00	No donations	11,975	18,132,151

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1DAD21	Position:	283	Length:	5

Derived variable: Amount of Donations: Other Solicitation Method

FREQ	WTD

00001 : 15500	630	903,528

00000	None	11,975	18,132,151

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving:	FG1FGIV	Position:	288	Length:	1

Giver Flag

FREQ	WTD

1	Giver	12,605	19,035,679

2	Non-giver	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	All respondents

Note:	Answered at least one "Yes" in FG1_06 to FG1_08, FG1_10 to FG1_21

Giving Specifics:	GS1DNTOT	Position:	289	Length:	5

Derived variable: Total Number of donations

FREQ	WTD

00001 : 00059	12,605	19,035,679

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DATOT	Position:	294	Length:	5

Derived variable: Total amount of donations

FREQ	WTD

00001 : 33485	12,605	19,035,679

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND01	Position:	299	Length:	2

Derived variable: Number of donations: Culture and Recreation

FREQ	WTD

01 : 08	2,717	3,181,739

00	No donations	9,888	15,853,941

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD01	Position:	301	Length:	5

Derived variable: Amount of donations: Culture and Recreation

FREQ	WTD

00001 : 02325	2,717	3,181,739

00000	None	9,888	15,853,941

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND02	Position:	306	Length:	2

Derived variable: Number of donations: Education and Research

FREQ	WTD

01 : 12	3,402	4,549,460

00	No donations	9,203	14,486,219

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD02	Position:	308	Length:	5

Derived variable: Amount of donations: Education and Research

FREQ	WTD

00001 : 02505	3,402	4,549,460

00000	None	9,203	14,486,219

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND03	Position:	313	Length:	2

Derived variable: Number of donations: Health

FREQ	WTD

01 : 31	9,607	13,105,863

00	No donations	2,998	5,929,816

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD03	Position:	315	Length:	5

Derived variable: Amount of donations: Health

FREQ	WTD

00001 : 10000	9,607	13,105,863

00000	None	2,998	5,929,816

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND04	Position:	320	Length:	2

Derived variable: Number of donations: Social Services

FREQ	WTD

01 : 14	6,526	9,164,492

00	No donations	6,079	9,871,187

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD04	Position:	322	Length:	5

Derived variable: Amount of donations: Social Services

FREQ	WTD

00001 : 05600	6,526	9,164,492

00000	None	6,079	9,871,187

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND05	Position:	327	Length:	2

Derived variable: Number of donations: Environment

FREQ	WTD

01 : 11	928	1,228,772

00	No donations	11,677	17,806,907

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD05	Position:	329	Length:	5

Derived variable: Amount of donations: Environment

FREQ	WTD

00001 : 07400	928	1,228,772

00000	None	11,677	17,806,907

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND06	Position:	334	Length:	2

Derived variable: Number of donations: Development and Housing

FREQ	WTD

01 : 03	276	296,347

00	No donations	12,329	18,739,332

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD06	Position:	336	Length:	5

Derived variable: Amount of donations: Development and Housing

FREQ	WTD

00001 : 02785	276	296,347

00000	None	12,329	18,739,332

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND07	Position:	341	Length:	2

Derived variable: Number of donations: Law, Advocacy and Politics

FREQ	WTD

01 : 05	806	977,966

00	No donations	11,799	18,057,713

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD07	Position:	343	Length:	5

Derived variable: Amount of donations: Law, Advocacy and Politics

FREQ	WTD

00001 : 06300	806	977,966

00000	None	11,799	18,057,713

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND08	Position:	348	Length:	2

Derived variable: Number of donations: Philanthropic Intermediaries and Voluntarism Promotion

FREQ	WTD

01 : 03	2,222	3,471,682

00	No donations	10,383	15,563,997

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD08	Position:	350	Length:	5

Derived variable: Amount of donations: Philanthropic Intermediaries and Voluntarism Promotion

FREQ	WTD

00001 : 10000	2,222	3,471,682

00000	None	10,383	15,563,997

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND09	Position:	355	Length:	2

Derived variable: Number of donations: International

FREQ	WTD

01 : 07	919	1,207,776

00	No donations	11,686	17,827,903

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD09	Position:	357	Length:	5

Derived variable: Amount of donations: International

FREQ	WTD

00001 : 04000	919	1,207,776

00000	None	11,686	17,827,903

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND10	Position:	362	Length:	2

Derived variable: Number of donations: Religion

FREQ	WTD

01 : 10	5,978	7,806,233

00	No donations	6,627	11,229,446

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD10	Position:	364	Length:	5

Derived variable: Amount of donations: Religion

FREQ	WTD

00001 : 13000	5,978	7,806,233

00000	None	6,627	11,229,446

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND11	Position:	369	Length:	2

Derived variable: Number of donations: Business and Professional Associations and Unions

FREQ	WTD

01 : 02	42	73,287

00	No donations	12,563	18,962,392

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD11	Position:	371	Length:	5

Derived variable: Amount of donations: Business and Professional Associations and Unions

FREQ	WTD

00005 : 05000	42	73,287

00000	None	12,563	18,962,392

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DND12	Position:	376	Length:	2

Derived variable: Number of donations: Not Elsewhere Classified

FREQ	WTD

01 : 03	377	497,908

00	No donations	12,228	18,537,771

96	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Giving Specifics:	GS1DAD12	Position:	378	Length:	5

Derived variable: Amount of donations: Not Elsewhere Classified

FREQ	WTD

00001 : 03930	377	497,908

00000	None	12,228	18,537,771

99996	Valid skip	2,119	5,347,528

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving con'd:	FG1_22	Position:	383	Length:	1

Will you or someone else in your household be claiming a tax credit for charitable contributions?

FREQ	WTD

1	Yes	6,377	8,366,738

2	No	5,844	10,042,573

6	Valid skip	2,119	5,347,528

7	Don't know	273	448,462

8	Refusal	27	43,413

9	Not stated	84	134,493

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving con'd:	FG1_23	Position:	384	Length:	1

Would you contribute more if the government gave you a better tax credit for your donations?

FREQ	WTD

1	Yes	6,006	8,848,001

2	No	5,878	9,077,279

6	Valid skip	2,119	5,347,528

7	Don't know	596	895,870

8	Refusal	35	63,505

9	Not stated	90	151,024

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving con'd:	FG1_24	Position:	385	Length:	1

Do you decide in advance the total amount of money you will donate to charitable organizations annually?

FREQ	WTD

1	Yes	2,483	3,366,185

2	No	9,941	15,375,170

6	Valid skip	2,119	5,347,528

7	Don't know	54	74,262

8	Refusal	33	60,885

9	Not stated	94	159,176

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving con'd:	FG1_25	Position:	386	Length:	1

For the majority of the money that you donate, do you decide in advance about which organizations you will give to or do you make decisions in response to someone asking you for a donation?

FREQ	WTD

1	Decide in advance	3,325	4,653,784

2	Respond to someone asking	7,158	11,352,423

3	Both	1,913	2,655,625

6	Valid skip	2,119	5,347,528

7	Don't know	72	125,694

8	Refusal	39	79,660

9	Not stated	98	168,494

=======	==========

14,724	24,383,207

Coverage:	Givers

Financial Giving con'd:	FG1_26	Position:	387	Length:	1

Do you have a certain number of charities or non-profit organizations that you donate to regularly or do you vary the organizations to which you donate?

FREQ	WTD

1	Donate to certain organizations regularly	5,510	7,558,326

2	Vary the organizations	6,821	10,932,157

6	Valid skip	2,119	5,347,528

7	Don't know	122	253,383

8	Refusal	41	95,359

9	Not stated	111	196,455

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for Giving:	RG1_02	Position:	388	Length:	1

The reason that you make charitable donations is: ... because the government will give you a credit on your income taxes.

FREQ	WTD

1	Agree	1,631	2,402,673

2	Disagree	10,747	16,212,950

6	Valid skip	2,119	5,347,528

7	Don't know	56	107,007

8	Refusal	29	71,716

9	Not stated	142	241,333

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for Giving:	RG1_03	Position:	389	Length:	1

... because you feel compassion towards people in need.

FREQ	WTD

1	Agree	11,836	17,578,042

2	Disagree	568	1,093,997

6	Valid skip	2,119	5,347,528

7	Don't know	29	60,298

8	Refusal	28	60,230

9	Not stated	144	243,113

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for Giving:	RG1_04	Position:	390	Length:	1

... to fulfill religious obligations or beliefs.

FREQ	WTD

1	Agree	4,290	5,748,311

2	Disagree	8,101	12,915,345

6	Valid skip	2,119	5,347,528

7	Don't know	37	61,094

8	Refusal	30	64,831

9	Not stated	147	246,098

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for Giving:	RG1_05	Position:	391	Length:	1

... to help a cause in which you personally believe.

FREQ	WTD

1	Agree	11,561	16,875,929

2	Disagree	829	1,753,490

6	Valid skip	2,119	5,347,528

7	Don't know	37	80,384

8	Refusal	28	59,964

9	Not stated	150	265,912

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for Giving:	RG1_06	Position:	392	Length:	1

The reason that you make charitable donations is: ... because you feel you owe something to your community.

FREQ	WTD

1	Agree	7,763	10,864,671

2	Disagree	4,598	7,729,577

6	Valid skip	2,119	5,347,528

7	Don't know	62	106,662

8	Refusal	30	66,860

9	Not stated	152	267,909

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for Giving:	RG1_07	Position:	393	Length:	1

... because you or someone you know has been personally affected by the cause the organization supports.

FREQ	WTD

1	Agree	9,282	12,803,096

2	Disagree	3,096	5,839,069

6	Valid skip	2,119	5,347,528

7	Don't know	46	60,764

8	Refusal	29	64,840

9	Not stated	152	267,909

=======	==========

14,724	24,383,207

Coverage:	Givers

Reasons for not Giving:	NG1_02	Position:	394	Length:	1

The reason that you do not donate (more) is: ... because it is hard to find a cause worth supporting.

FREQ	WTD

1	Agree	1,801	3,775,062

2	Disagree	12,550	19,807,172

7	Don't know	88	186,706

8	Refusal	53	109,854

9	Not stated	232	504,413

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_03	Position:	395	Length:	1

... because you want to save your money for your own future needs.

FREQ	WTD

1	Agree	7,042	12,365,102

2	Disagree	7,321	11,269,583

7	Don't know	67	106,724

8	Refusal	55	112,246

9	Not stated	239	529,552

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_04	Position:	396	Length:	1

... because you do not know where to make a contribution.

FREQ	WTD

1	Agree	1,185	2,502,734

2	Disagree	13,190	21,151,544

7	Don't know	51	72,588

8	Refusal	55	123,946

9	Not stated	243	532,395

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_05	Position:	397	Length:	1

... because you think the money will not be used efficiently.

FREQ	WTD

1	Agree	6,011	10,323,933

2	Disagree	8,266	13,135,334

7	Don't know	138	250,499

8	Refusal	61	119,557

9	Not stated	248	553,884

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_06	Position:	398	Length:	1

The reason that you do not donate (more) is: ... because you would prefer to spend your money in other ways.

FREQ	WTD

1	Agree	6,435	11,279,366

2	Disagree	7,867	12,290,067

7	Don't know	107	135,819

8	Refusal	63	119,533

9	Not stated	252	558,422

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_07	Position:	399	Length:	1

... because you give voluntary time instead of giving money.

FREQ	WTD

1	Agree	4,658	6,074,775

2	Disagree	9,652	17,478,040

7	Don't know	99	140,776

8	Refusal	62	134,964

9	Not stated	253	554,653

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_08	Position:	400	Length:	1

... because you feel that you already give enough money directly to people on your own, not through an organization.

FREQ	WTD

1	Agree	4,687	7,944,898

2	Disagree	9,571	15,528,124

7	Don't know	140	211,498

8	Refusal	67	130,435

9	Not stated	259	568,251

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_09	Position:	401	Length:	1

... because you do not like the way in which requests are made for contributions.

FREQ	WTD

1	Agree	6,523	10,224,963

2	Disagree	7,765	13,275,300

7	Don't know	111	171,075

8	Refusal	62	138,851

9	Not stated	263	573,019

=======	==========

14,724	24,383,207

Coverage:	All respondents

Reasons for not Giving:	NG1_10	Position:	402	Length:	1

In general, do you think that the money used by charities on administrative and fundraising costs is ...?

FREQ	WTD

1	About right	5,959	9,761,203

2	Too much	5,150	8,371,154

3	Could be higher	1,166	2,055,138

7	Don't know	1,975	3,158,138

8	Refusal	191	406,289

9	Not stated	283	631,285

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_01	Position:	403	Length:	1

Now I have a few questions about other ways of making charitable contributions. In the past 12 months, did you buy any charity-sponsored raffle or lottery tickets? (Do not include government sponsored lotteries such as Lotto 649).

FREQ	WTD

1	Yes	7,161	10,134,193

2	No	7,110	13,287,081

7	Don't know	78	138,634

8	Refusal	70	153,766

9	Not stated	305	669,533

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1D02	Position:	404	Length:	4

Derived variable: Amount of donation for OG_Q02 - adjusted for joint giving.

Allowed Min:	0001	Allowed Max:	2400

FREQ	WTD

0001 : 2400	6,488	9,314,628

9996	Valid skip	7,110	13,287,081

9999	Not stated	1,126	1,781,498

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered OG1_01=1

Other Giving:	OG1_03	Position:	408	Length:	1

Was this money spent by you personally or jointly by you and your spouse or partner?

FREQ	WTD

1	Personally	1,348	2,125,579

2	Jointly	2,005	2,830,617

6	Valid skip	11,133	18,917,563

7	Don't know	10	8,159

8	Refusal	1	2,538

9	Not stated	227	498,751

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered OG1_01=1 and (FG1_02=2 or 3)

Other Giving:	OG1_04	Position:	409	Length:	1

(In the past 12 months,) did you attend a charity-sponsored bingo or casino? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	1,265	1,749,462

2	No	13,038	21,738,142

7	Don't know	36	50,743

8	Refusal	75	169,210

9	Not stated	310	675,649

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1D05	Position:	410	Length:	4

Derived variable: Amount of donation for OG_Q05 - adjusted for joint giving.

Allowed Min:	0001	Allowed Max:	8000

FREQ	WTD

0001 : 8000	1,096	1,578,928

9996	Valid skip	13,038	21,738,142

9999	Not stated	590	1,066,137

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered OG1_04=1

Other Giving:	OG1_06	Position:	414	Length:	1

Was this money spent by you personally or jointly by you and your spouse or partner?

FREQ	WTD

1	Personally	302	466,263

2	Jointly	259	373,103

6	Valid skip	13,965	23,104,725

7	Don't know	4	4,209

9	Not stated	194	434,907

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered OG1_04=1 and (FG1_02=2 or 3)

Other Giving:	OG1_07	Position:	415	Length:	1

In the past 12 months, have you bought goods such as chocolate bars, apples, poppies, flowers, or coupon books, where the proceeds go to a charitable or non-profit organization? (Do not include any purchases you have already mentioned.)

FREQ	WTD

1	Yes	10,883	16,421,946

2	No	3,418	7,099,018

7	Don't know	42	48,259

8	Refusal	70	137,630

9	Not stated	311	676,354

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_08	Position:	416	Length:	4

How much have you spent on these purchases? (Do not include any purchases you have already mentioned.)

Allowed Min:	0001	Allowed Max:	2000

FREQ	WTD

0001 : 1500	9,829	15,075,465

9996	Valid skip	3,418	7,099,018

9997	Don't know	919	1,142,401

9998	Refusal	135	204,080

9999	Not stated	423	862,244

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered OG1_07=1

Other Giving:	OG1_09	Position:	420	Length:	1

(In the past 12 months,) did you make any contributions at a box located beside a cash register at a store check-out? (Do not include any donations you have already mentioned.)

FREQ	WTD

1	Yes	6,464	9,652,161

2	No	7,823	13,834,640

7	Don't know	51	67,219

8	Refusal	70	140,870

9	Not stated	316	688,318

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_10	Position:	421	Length:	4

How much did you donate in this way in the past 12 months? (Do not include any donations you have already mentioned.)

Allowed Min:	0001	Allowed Max:	1000

FREQ	WTD

0001 : 0520	5,243	7,999,665

9996	Valid skip	7,823	13,834,640

9997	Don't know	1,109	1,496,266

9998	Refusal	112	156,229

9999	Not stated	437	896,407

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered OG1_09=1

Other Giving:	OG1_11	Position:	425	Length:	1

Have you ever included, as part of your will, a donation to a charitable, religious or spiritual organization?

FREQ	WTD

1	Yes	806	946,809

2	No	13,444	22,459,737

7	Don't know	48	65,795

8	Refusal	102	204,152

9	Not stated	324	706,714

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_12	Position:	426	Length:	1

In the past 12 months, did you contribute any food to a charitable organization such as a food bank?

FREQ	WTD

1	Yes	8,650	12,753,957

2	No	5,646	10,739,643

7	Don't know	34	50,220

8	Refusal	67	131,376

9	Not stated	327	708,010

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_13	Position:	427	Length:	1

(In the past 12 months,) did you donate any clothing or household goods to a charitable or non-profit organization such as Neighbourhood Services, the Salvation Army or St. Vincent de Paul?

FREQ	WTD

1	Yes	10,424	16,338,676

2	No	3,877	7,172,412

7	Don't know	28	31,414

8	Refusal	66	130,904

9	Not stated	329	709,802

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_14	Position:	428	Length:	1

(In the past 12 months,) did you give any money excluding loans, to the homeless or street people?

FREQ	WTD

1	Yes	2,474	4,504,717

2	No	11,822	18,999,852

7	Don't know	29	33,961

8	Refusal	68	133,411

9	Not stated	331	711,266

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_15	Position:	429	Length:	1

(In the past 12 months,) did you give any money excluding loans, to relatives, including children and parents who don't live with you?

FREQ	WTD

1	Yes	4,462	6,510,910

2	No	9,793	16,909,940

7	Don't know	43	66,341

8	Refusal	94	181,781

9	Not stated	332	714,236

=======	==========

14,724	24,383,207

Coverage:	All respondents

Other Giving:	OG1_16	Position:	430	Length:	1

In the past 12 months, did you give any money to other individuals not already mentioned?

FREQ	WTD

1	Yes	1,239	1,849,991

2	No	13,034	21,624,348

7	Don't know	42	45,579

8	Refusal	76	143,977

9	Not stated	333	719,312

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_02	Position:	431	Length:	1

How frequently do you socialize: ... with parents or other relatives?

FREQ	WTD

1	Every week	7,762	11,839,929

2	A few times a month	3,417	6,092,632

3	A few times a year	2,475	4,267,418

4	Not at all	509	1,076,572

7	Don't know	62	82,835

8	Refusal	101	185,528

9	Not stated	398	838,293

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_03	Position:	432	Length:	1

... with friends who live outside the neighbourhood?

FREQ	WTD

1	Every week	4,984	7,707,191

2	A few times a month	5,077	8,537,295

3	A few times a year	3,048	4,905,117

4	Not at all	1,043	2,097,407

7	Don't know	69	98,956

8	Refusal	100	184,885

9	Not stated	403	852,355

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_04	Position:	433	Length:	1

How frequently do you spend time: ... with friends participating in sports or recreation activities?

FREQ	WTD

1	Every week	4,460	6,478,373

2	A few times a month	2,907	4,920,640

3	A few times a year	2,494	4,244,256

4	Not at all	4,290	7,604,348

7	Don't know	68	94,542

8	Refusal	100	185,870

9	Not stated	405	855,178

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_05	Position:	434	Length:	1

... watching family members participate in sports or recreation activities?

FREQ	WTD

1	Every week	2,727	3,972,433

2	A few times a month	2,375	3,750,382

3	A few times a year	3,097	4,901,524

4	Not at all	5,941	10,587,662

7	Don't know	71	94,674

8	Refusal	107	217,409

9	Not stated	406	859,123

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_07	Position:	435	Length:	1

Are you a member or participant in: ... a service club or fraternal association, such as the Kiwanis, Knights of Columbus, Shriners or the Legion?

FREQ	WTD

1	Yes	1,574	1,773,625

2	No	12,599	21,474,012

7	Don't know	37	63,518

8	Refusal	98	189,069

9	Not stated	416	882,983

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_08	Position:	436	Length:	1

... a work-related organization such as a union or professional association?

FREQ	WTD

1	Yes	3,296	4,776,304

2	No	10,868	18,445,072

7	Don't know	42	71,653

8	Refusal	101	206,974

9	Not stated	417	883,204

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_09	Position:	437	Length:	1

... a political organization?

FREQ	WTD

1	Yes	694	797,806

2	No	13,472	22,430,149

7	Don't know	36	63,373

8	Refusal	105	208,675

9	Not stated	417	883,204

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_10	Position:	438	Length:	1

... a cultural, education, or hobby organization? (Theatre group, book club, bridge club, etc.)

FREQ	WTD

1	Yes	1,845	2,257,963

2	No	12,327	20,972,448

7	Don't know	35	77,081

8	Refusal	99	190,026

9	Not stated	418	885,688

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_11	Position:	439	Length:	1

Are you a member or participant in: ... a sports or recreation organization? (Baseball league, tennis club, golf club, etc.)

FREQ	WTD

1	Yes	3,266	4,248,123

2	No	10,906	18,992,216

7	Don't know	34	60,481

8	Refusal	99	190,026

9	Not stated	419	892,360

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_12	Position:	440	Length:	1

... a religious-affiliated group? (Youth group associated with a church, choir, etc.)

FREQ	WTD

1	Yes	2,625	2,957,623

2	No	11,544	20,280,111

7	Don't know	35	60,836

8	Refusal	99	190,026

9	Not stated	421	894,611

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_13	Position:	441	Length:	1

... a school group, a neighbourhood , civic or community association? For example, PTA or alumni, block parents or neighbourhood watch, etc.

FREQ	WTD

1	Yes	1,993	2,218,413

2	No	12,175	21,015,181

7	Don't know	35	59,438

8	Refusal	99	190,026

9	Not stated	422	900,149

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_14	Position:	442	Length:	1

Do you belong to any other type of organization that you have not mentioned?

FREQ	WTD

1	Yes	376	431,259

2	No	13,787	22,797,672

7	Don't know	38	60,209

8	Refusal	99	190,026

9	Not stated	424	904,041

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_15A	Position:	443	Length:	1

Belong to other type of organization - Boy scouts, girl guides, etc.

FREQ	WTD

1	Yes	17	9,175

2	No	354	413,380

6	Valid skip	13,787	22,797,672

7	Don't know	3	8,333

8	Refusal	2	371

9	Not stated	561	1,154,276

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered PA1_14=1

Participating:	PA1_15B	Position:	444	Length:	1

Belong to other type of organization - Cancer group, diabetes, lung, MS, MD, etc.

FREQ	WTD

1	Yes	30	50,354

2	No	341	372,200

6	Valid skip	13,787	22,797,672

7	Don't know	3	8,333

8	Refusal	2	371

9	Not stated	561	1,154,276

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered PA1_14=1

Participating:	PA1_15C	Position:	445	Length:	1

Belong to other type of organization - Health spa or exercise club

FREQ	WTD

1	Yes	14	15,530

2	No	357	407,024

6	Valid skip	13,787	22,797,672

7	Don't know	3	8,333

8	Refusal	2	371

9	Not stated	561	1,154,276

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered PA1_14=1

Participating:	PA1_15D	Position:	446	Length:	1

Belong to other type of organization - Self-help group such as AA

FREQ	WTD

1	Yes	15	11,131

2	No	356	411,423

6	Valid skip	13,787	22,797,672

7	Don't know	3	8,333

8	Refusal	2	371

9	Not stated	561	1,154,276

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered PA1_14=1

Participating:	PA1_15E	Position:	447	Length:	1

Belong to other type of organization - Seniors' group

FREQ	WTD

1	Yes	86	91,188

2	No	285	331,366

6	Valid skip	13,787	22,797,672

7	Don't know	3	8,333

8	Refusal	2	371

9	Not stated	561	1,154,276

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered PA1_14=1

Participating:	PA1_15F	Position:	448	Length:	1

Belong to other type of organization - Other

FREQ	WTD

1	Yes	218	254,981

2	No	153	167,573

6	Valid skip	13,787	22,797,672

7	Don't know	3	8,333

8	Refusal	2	371

9	Not stated	561	1,154,276

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered PA1_14=1

Participating:	PA1FPAR	Position:	449	Length:	1

Civic Participation flag

FREQ	WTD

1	Yes	8,642	11,730,421

2	No	5,521	11,482,295

9	Not stated	561	1,170,491

=======	==========

14,724	24,383,207

Coverage:	All respondents

Note:	Answered 'yes' to at least one of PA1_07 to PA1_14

Participating:	PA1_16	Position:	450	Length:	1

Did you vote in the last federal election?

FREQ	WTD

1	Yes	10,827	16,137,012

2	No	2,677	5,688,096

6	Valid skip	582	1,316,812

7	Don't know	114	165,154

8	Refusal	111	222,050

9	Not stated	413	854,083

=======	==========

14,724	24,383,207

Coverage:	Respondents aged 18 and over

Participating:	PA1_17	Position:	451	Length:	1

Did you vote in the last provincial election?

FREQ	WTD

1	Yes	10,705	15,866,343

2	No	2,791	5,920,662

6	Valid skip	582	1,316,812

7	Don't know	124	217,225

8	Refusal	109	208,082

9	Not stated	413	854,083

=======	==========

14,724	24,383,207

Coverage:	Respondents aged 18 and over

Participating:	PA1_18	Position:	452	Length:	1

Did you vote in the last municipal or local election?

FREQ	WTD

1	Yes	8,901	13,132,432

2	No	4,555	8,596,352

6	Valid skip	582	1,316,812

7	Don't know	160	245,083

8	Refusal	112	235,059

9	Not stated	414	857,468

=======	==========

14,724	24,383,207

Coverage:	Respondents aged 18 and over

Participating:	PA1_19	Position:	453	Length:	1

How frequently do you follow news and current affairs? (e.g. international, national, regional or local)

FREQ	WTD

1	Daily	9,883	15,780,185

2	Several times each week	2,723	4,622,284

3	Several times each month	675	1,152,497

4	Rarely or never	865	1,649,240

7	Don't know	41	72,183

8	Refusal	105	192,273

9	Not stated	432	914,546

=======	==========

14,724	24,383,207

Coverage:	All respondents

Participating:	PA1_20	Position:	454	Length:	1

About how many hours do you spend watching TV during a typical week?

FREQ	WTD

1	Less than 5 hours	3,566	5,928,158

2	5 to 14 hours	6,740	10,742,584

3	15 to 29 hours	2,819	4,752,931

4	Over 30 hours	959	1,650,532

7	Don't know	94	185,372

8	Refusal	114	209,084

9	Not stated	432	914,546

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_02	Position:	455	Length:	1

Did you participate in an organized team sport? (such as a baseball league, hockey league, etc.)

FREQ	WTD

1	Yes	9,530	15,087,783

2	No	4,517	7,845,072

7	Don't know	72	134,884

8	Refusal	144	318,351

9	Not stated	461	997,117

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_03	Position:	456	Length:	1

Did you belong to a youth group? (such as guides, scouts, a 4-H club, a choir)

FREQ	WTD

1	Yes	7,850	11,163,322

2	No	6,201	11,776,629

7	Don't know	70	143,405

8	Refusal	141	302,003

9	Not stated	462	997,850

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_04	Position:	457	Length:	1

Did you do some kind of volunteer work?

FREQ	WTD

1	Yes	6,758	10,103,030

2	No	7,137	12,589,430

7	Don't know	213	361,520

8	Refusal	152	327,266

9	Not stated	464	1,001,962

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_05	Position:	458	Length:	1

Did you personally see someone you admired helping others?

FREQ	WTD

1	Yes	8,284	11,961,350

2	No	5,511	10,605,286

7	Don't know	308	485,839

8	Refusal	155	326,041

9	Not stated	466	1,004,691

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_06	Position:	459	Length:	1

Did you go door-to-door to raise money for a cause or organization?

FREQ	WTD

1	Yes	7,318	10,891,189

2	No	6,650	11,963,354

7	Don't know	143	217,751

8	Refusal	146	306,068

9	Not stated	467	1,004,846

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_07	Position:	460	Length:	1

Were you helped in the past by others?

FREQ	WTD

1	Yes	7,738	11,291,178

2	No	6,218	11,505,642

7	Don't know	151	261,475

8	Refusal	150	320,066

9	Not stated	467	1,004,846

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_08	Position:	461	Length:	1

Were you active in student government?

FREQ	WTD

1	Yes	2,848	4,042,204

2	No	11,187	18,892,381

7	Don't know	76	138,147

8	Refusal	146	305,629

9	Not stated	467	1,004,846

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_09	Position:	462	Length:	1

Were you active in a religious organization?

FREQ	WTD

1	Yes	5,023	6,510,511

2	No	9,013	16,418,523

7	Don't know	71	135,736

8	Refusal	148	310,536

9	Not stated	469	1,007,901

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_10	Position:	463	Length:	1

Did one or both of your parents do volunteer work in the community?

FREQ	WTD

1	Yes	6,703	9,075,717

2	No	7,153	13,532,545

7	Don't know	247	449,632

8	Refusal	151	313,315

9	Not stated	470	1,011,998

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_12	Position:	464	Length:	1

Generally, charitable and voluntary organizations play a major role in making our communities better places to live.

FREQ	WTD

1	Agree	13,047	20,628,213

2	Disagree	883	2,052,493

7	Don't know	184	402,381

8	Refusal	133	267,487

9	Not stated	477	1,032,632

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_13	Position:	465	Length:	1

There seems to be so many organizations seeking donations for one cause or another, sometimes you don't feel like giving to any organizations.

FREQ	WTD

1	Agree	8,713	14,709,129

2	Disagree	5,279	8,167,195

7	Don't know	121	211,032

8	Refusal	132	261,493

9	Not stated	479	1,034,358

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_14	Position:	466	Length:	1

Do you ever worry about not having enough money in the future?

FREQ	WTD

1	Yes	8,651	14,357,709

2	No	5,397	8,620,610

7	Don't know	55	83,454

8	Refusal	134	268,670

9	Not stated	487	1,052,764

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_15	Position:	467	Length:	1

Would you say that you worry ... ?

FREQ	WTD

1	A Lot	1,882	3,271,424

2	A moderate amount	3,472	5,888,990

3	Only a little	3,278	5,164,318

6	Valid skip	5,397	8,620,610

7	Don't know	17	32,024

8	Refusal	2	953

9	Not stated	676	1,404,888

=======	==========

14,724	24,383,207

Coverage:	Respondents who answered EA1_14=1

Youth Exp. and Attitudes:	EA1_16	Position:	468	Length:	1

Compared to this time last year, do you have more, less or the same amount of money left over after paying your bills?

FREQ	WTD

1	More	3,040	5,110,702

2	Less	5,203	8,340,295

3	The same	5,494	8,874,768

7	Don't know	305	564,031

8	Refusal	190	407,741

9	Not stated	492	1,085,670

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_17	Position:	469	Length:	1

In general, would you say that your health is ...?

FREQ	WTD

1	Excellent	3,258	5,384,834

2	Very good	4,466	7,072,850

3	Good	3,877	6,298,515

4	Fair	1,854	3,188,678

5	Poor	591	1,006,289

7	Don't know	54	87,860

8	Refusal	130	252,905

9	Not stated	494	1,091,276

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_18	Position:	470	Length:	1

How satisfied are you with your life in general?

FREQ	WTD

1	Very satisfied	6,837	10,235,771

2	Somewhat satisfied	6,246	10,913,334

3	Somewhat dissatisfied	733	1,358,743

4	Very dissatisfied	187	370,240

7	Don't know	80	119,785

8	Refusal	145	284,723

9	Not stated	496	1,100,610

=======	==========

14,724	24,383,207

Coverage:	All respondents

Youth Exp. and Attitudes:	EA1_19	Position:	471	Length:	1

How much control do you feel that you have in making decisions that affect your everyday activities?

FREQ	WTD

1	No control	175	410,623

2	Control over few or some decisions	1,565	3,055,264

3	Control over most decisions	7,879	12,670,280

4	Control over all decisions	4,367	6,685,314

7	Don't know	93	181,395

8	Refusal	145	271,589

9	Not stated	500	1,108,742

=======	==========

14,724	24,383,207

Coverage:	All respondents

Socio-demographics:	SD1G01	Position:	472	Length:	1

Grouped Variable: Religious affiliation

FREQ	WTD

1	No religious affiliation	3,125	5,848,261

2	Roman Catholic	5,368	9,617,539

3	Protestant	4,936	5,796,655

4	Other	407	1,296,315

9	Not stated	888	1,824,437

=======	==========

14,724	24,383,207

Coverage:	All respondents

Socio-demographics:	SD1_02	Position:	473	Length:	1

In the past 12 months, other than on special occasions (such as weddings, funerals or baptisms), how often have you attended religious services or meetings?

FREQ	WTD

1	At least once a week	3,472	4,242,900

2	At least once a month	2,000	2,907,573

3	At least 3 or 4 times	1,796	2,959,293

4	Only once or twice	1,545	2,838,697

5	Not at all	2,032	4,011,405

6	Valid skip	3,125	5,848,261

7	Don't know	75	129,621

8	Refusal	173	326,850

9	Not stated	506	1,118,606

=======	==========

14,724	24,383,207

Coverage:	Respondents who did not answer SD1_01=1 (have no religious affiliation)

Socio-demographics:	SD1_03	Position:	474	Length:	1

Do you consider yourself to be ...?

FREQ	WTD

1	Very religious	1,851	2,584,835

2	Somewhat religious	7,012	10,082,160

3	Not very religious	2,983	5,644,261

4	Not at all religious	1,978	4,295,385

7	Don't know	180	278,012

8	Refusal	212	374,728

9	Not stated	508	1,123,826

=======	==========

14,724	24,383,207

Coverage:	All respondents

Socio-demographics:	SD1G05	Position:	475	Length:	1

Grouped Variable: Country of Birth

FREQ	WTD

1	Canada	12,560	19,019,747

2	Outside Canada	1,481	3,884,746

9	Not stated	683	1,478,714

=======	==========

14,724	24,383,207

Coverage:	All respondents

Demographic household:	SD1G09	Position:	476	Length:	1

Grouped Variable: Grouped length of time living in community

FREQ	WTD

1	2 years or less	1,574	3,160,822

2	3 to 5 years	1,512	2,817,600

3	6 to 10 years	1,518	2,896,211

4	More than 10 years	9,419	13,991,605

9	Not stated	701	1,516,969

=======	==========

14,724	24,383,207

Coverage:	All respondents

Income:	IN1G03	Position:	477	Length:	1

Grouped Variable: Household income group

FREQ	WTD

1	Less than $20,000	2,386	3,205,842

2	$20,000 to less than $40,000	4,034	6,444,193

3	$40,000 to less than $60,000	3,416	5,578,115

4	$60,000 to less than $100,000	3,430	6,171,666

5	$100,000 and over	1,458	2,983,391

=======	==========

14,724	24,383,207

Coverage:	All respondents

Income:	IN1G04	Position:	478	Length:	1

Grouped Variable: Personal income group

FREQ	WTD

1	Less than $20,000	6,207	10,388,385

2	$20,000 to less than $40,000	4,665	7,539,822

3	$40,000 to less than $60,000	2,365	3,886,811

4	$60,000 and over	1,487	2,568,190

=======	==========

14,724	24,383,207

Coverage:	All respondents

Labour force:	LF1GSTAT	Position:	479	Length:	1

Grouped Variable: Labour force status

FREQ	WTD

1	Employed	8,779	15,337,312

2	Unemployed	586	987,222

3	Not in the labour force	5,359	8,058,672

=======	==========

14,724	24,383,207

Coverage:	All respondents

Labour force:	LF1GCOWM	Position:	480	Length:	1

Grouped Variable: Class of worker

FREQ	WTD

1	Employee	8,351	14,669,576

2	Self-employed or working in a family business without pay	1,549	2,506,038

6	Valid skip	4,824	7,207,593

=======	==========

14,724	24,383,207

Coverage:	Current job or last job within previous 12 months

Labour force:	LF1GUHM	Position:	481	Length:	1

Grouped Variable: Grouped usual hours worked per week

FREQ	WTD

1	Less than 30 hours	1,723	3,037,389

2	30 to less than 40 hours	2,540	4,238,958

3	40 to less than 50 hours	3,605	6,596,785

4	50 hours or more	911	1,464,180

6	Valid skip	5,945	9,045,895

=======	==========

14,724	24,383,207

Coverage:	Currently employed only

Labour Force:	LF1_FTM	Position:	482	Length:	1

Full-time or part-time work schedule of main job

FREQ	WTD

1	Full-time (30+ hours)	7,056	12,299,923

2	Part-time (<30 hours)	1,723	3,037,389

6	Valid skip	5,945	9,045,895

=======	==========

14,724	24,383,207

Coverage:	Currently employed only

Labour force:	LF1GIC18	Position:	483	Length:	2

Grouped Variable: NAICS (18 groups)

FREQ	WTD

01	Agriculture	349	417,787

02	Forestry, fishing, mining, oil and gas	308	341,457

03	Utilities	94	139,652

04	Construction	464	863,043

05	Manufacturing - durables	659	1,436,032

06	Manufacturing - nondurables	564	1,148,431

07	Wholesale trade	284	598,562

08	Retail trade	1,085	1,942,574

09	Transportation and warehousing	471	947,937

10	Finance, insurance and real estate and Leasing	543	1,137,265

11	Professional, scientific and technical	549	1,130,302

12	Management, administrative and other support	355	659,521

13	Educational services	816	987,573

14	Health care and social assistance	1,244	1,639,993

15	Information, culture and recreation	479	927,648

16	Accommodation and food services	549	1,100,826

17	Other services	498	862,185

18	Public administration	589	894,827

96	Valid skip	4,824	7,207,593

=======	==========

14,724	24,383,207

Coverage:	Current job or last job within previous 12 months

Note:	Based on North American Industry Classification System Canada, NAICS CANDA, 1997

Labour force:	LF1GOC10	Position:	485	Length:	2

Grouped Variable: Occupation at main job (current or in last year) (10 groups)

FREQ	WTD

01	Management Occupations	883	1,586,864

02	Business, Finance and Administrative Occupations	1,738	3,072,041

03	Natural and Applied Sciences and Related Occupations	586	1,225,993

04	Health Occupations	599	815,467

05	Occupations in Social Science, Education, Government

Service and Religion	888	1,096,046

06	Occupations in Art, Culture, Recreation and Sport	257	450,674

07	Sales and Service Occupations	2,442	4,394,594

08	Trades, Transport and Equipment Operators and Related

Occupations	1,253	2,368,698

09	Occupations Unique to Primary Industry	571	722,996

10	Occupations Unique to Processing, Manufacturing and

Utilities	683	1,442,241

96	Valid skip	4,824	7,207,593

=======	==========

14,724	24,383,207

Coverage:	Current job or last job within previous 12 months

Note:	Based on 1991 Standard Occupational Classification (SOC)

Labour Force:	LF1_STU	Position:	487	Length:	1

Student status

FREQ	WTD

1	Full-time student	1,171	2,661,431

2	Part-time student	380	720,171

3	Non-student	10,498	17,382,391

6	Valid skip	2,675	3,619,215

=======	==========

14,724	24,383,207

Coverage:	Respondents aged 15 to 64 years only

Variable:	FINWGHT	Position:	488	Length:	10.4

Sampling weight - 4 decimal places e.g. 99999.9999

FREQ	WTD

00052.0000 : 33787.0000	14,724	24,383,207

=======	==========

14,724	24,383,207

Coverage:	All respondents

VD File

Volunteer Details:	MICRO_ID	Position:	1	Length:	5

Sequence number of record

Coverage:	Volunteers

Volunteer Details:	VD1DID	Position:	6	Length:	1

Derived variable: Sequence number of organization

FREQ	WTD

1	1	8,225	6,512,971

2	2	3,494	2,659,549

3	3	1,348	968,804

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1CICN2	Position:	7	Length:	2

The International Classification of Non-Profit Organizations: ICNPO - Revision 1, 1996 - 2 digits

FREQ	WTD

01	Culture and recreation	3,167	2,351,255

02	Education and research	1,553	1,324,483

03	Health	1,645	1,271,551

04	Social services	2,629	1,987,033

05	Environment	372	281,479

06	Development and housing	604	502,123

07	Law Advocacy and Politics	409	328,471

08	Philanthropic Intermediaries and Voluntarism Promotion	248	225,460

09	International	87	86,656

10	Religion	1,929	1,443,310

11	Business and professional associations unions	299	229,410

12	Other (Not elsewhere classified)	125	110,095

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Note:	See: International Classification of Non-Profit Organization: ICNPO - Revision 1, 1996 (Lester M. Salamon and Helmut K. Anheier)

Volunteer Details:	VD1_03A	Position:	9	Length:	1

Did you volunteer for this organization in October, 1999?

FREQ	WTD

1	Yes	7,794	5,875,389

2	No	5,273	4,265,934

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03B	Position:	10	Length:	1

Did you volunteer for this organization in November, 1999?

FREQ	WTD

1	Yes	7,623	5,733,858

2	No	5,444	4,407,465

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03C	Position:	11	Length:	1

Did you volunteer for this organization in December, 1999?

FREQ	WTD

1	Yes	7,594	5,745,906

2	No	5,473	4,395,418

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03D	Position:	12	Length:	1

Did you volunteer for this organization in January, 2000?

FREQ	WTD

1	Yes	7,291	5,438,068

2	No	5,776	4,703,255

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03E	Position:	13	Length:	1

Did you volunteer for this organization in February, 2000?

FREQ	WTD

1	Yes	7,505	5,590,643

2	No	5,562	4,550,680

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03F	Position:	14	Length:	1

Did you volunteer for this organization in March, 2000?

FREQ	WTD

1	Yes	7,587	5,663,390

2	No	5,480	4,477,934

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03G	Position:	15	Length:	1

Did you volunteer for this organization in April, 2000?

FREQ	WTD

1	Yes	7,542	5,712,107

2	No	5,525	4,429,217

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03H	Position:	16	Length:	1

Did you volunteer for this organization in May, 2000?

FREQ	WTD

1	Yes	7,379	5,592,881

2	No	5,688	4,548,443

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03I	Position:	17	Length:	1

Did you volunteer for this organization in June, 2000?

FREQ	WTD

1	Yes	7,115	5,393,595

2	No	5,952	4,747,729

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03J	Position:	18	Length:	1

Did you volunteer for this organization in July, 2000?

FREQ	WTD

1	Yes	5,837	4,374,284

2	No	7,230	5,767,040

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03K	Position:	19	Length:	1

Did you volunteer for this organization in August, 2000?

FREQ	WTD

1	Yes	5,922	4,416,687

2	No	7,145	5,724,637

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_03L	Position:	20	Length:	1

Did you volunteer for this organization in September, 2000?

FREQ	WTD

1	Yes	7,424	5,592,235

2	No	5,643	4,549,089

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_04	Position:	21	Length:	1

Did you usually volunteer about the same number of hours each week or did the time vary from week to week?

FREQ	WTD

1	Same number of hours each week	6,687	5,226,424

2	Varied week to week	6,380	4,914,900

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_05A	Position:	22	Length:	3

How many hours did you volunteer for this organization in October, 1999?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,660	2,758,935

000	No hours	2,720	2,155,965

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05B	Position:	25	Length:	3

How many hours did you volunteer for this organization in November, 1999?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,560	2,647,120

000	No hours	2,820	2,267,780

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05C	Position:	28	Length:	3

How many hours did you volunteer for this organization in December, 1999?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,514	2,642,265

000	No hours	2,866	2,272,635

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05D	Position:	31	Length:	3

How many hours did you volunteer for this organization in January, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,346	2,465,021

000	No hours	3,034	2,449,878

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05E	Position:	34	Length:	3

How many hours did you volunteer for this organization in February, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,467	2,565,535

000	No hours	2,913	2,349,365

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05F	Position:	37	Length:	3

How many hours did you volunteer for this organization in March, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,509	2,585,942

000	No hours	2,871	2,328,958

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05G	Position:	40	Length:	3

How many hours did you volunteer for this organization in April, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,510	2,656,928

000	No hours	2,870	2,257,971

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05H	Position:	43	Length:	3

How many hours did you volunteer for this organization in May, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,451	2,606,352

000	No hours	2,929	2,308,548

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05I	Position:	46	Length:	3

How many hours did you volunteer for this organization in June, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,360	2,541,375

000	No hours	3,020	2,373,525

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05J	Position:	49	Length:	3

How many hours did you volunteer for this organization in July, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	2,722	2,011,676

000	No hours	3,658	2,903,223

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05K	Position:	52	Length:	3

How many hours did you volunteer for this organization in August, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	2,787	2,064,760

000	No hours	3,593	2,850,140

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_05L	Position:	55	Length:	3

How many hours did you volunteer for this organization in September, 2000?

Allowed Min:	000	Allowed Max:	200

FREQ	WTD

001 : 200	3,556	2,618,067

000	No hours	2,824	2,296,833

996	Valid skip	6,687	5,226,424

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=2

Volunteer Details:	VD1_06	Position:	58	Length:	2

How many hours per week did you usually volunteer for this organization?

Allowed Min:	01	Allowed Max:	60

FREQ	WTD

01 : 60	6,687	5,226,424

96	Valid skip	6,380	4,914,900

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=1

Volunteer Details:	VD1_07	Position:	60	Length:	2

In the past 12 months, how many weeks did you volunteer this organization?

Allowed Min:	01	Allowed Max:	52

FREQ	WTD

01 : 52	6,687	5,226,424

96	Valid skip	6,380	4,914,900

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=1

Volunteer Details:	VD1_08	Position:	62	Length:	1

In addition to usual hours, people often volunteer for special events. Since October, 1999, did you spend any hours in addition to what you have already reported for this organization?

FREQ	WTD

1	Yes	1,589	1,187,785

2	No	5,098	4,038,639

6	Valid skip	6,380	4,914,900

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_04=1

Volunteer Details:	VD1_09	Position:	63	Length:	3

How many extra hours?

Allowed Min:	001	Allowed Max:	100

FREQ	WTD

001 : 100	1,589	1,187,785

996	Valid skip	11,478	8,953,539

=======	==========

13,067	10,141,324

Coverage:	Volunteers who answered VD1_08=1

Volunteer Details:	VD1_10	Position:	66	Length:	2

How did you first become a volunteer for this organization?

FREQ	WTD

01	Someone in the organization asked you	4,008	3,032,721

02	A friend/relative outside the organization asked you	1,098	938,695

03	Your boss or employer asked you	352	292,102

04	You responded to public appeal in newspaper/radio...	376	270,303

05	You were referred by a volunteer organization	161	147,710

06	You approached the organization yourself	2,092	1,640,867

07	You used the internet to match interests/skills with org.	9	3,831

08	Your child(ren) or spouse were involved in it	1,563	1,239,365

09	You were a member in the organization	2,115	1,537,980

10	You were nominated, appointed, elected, etc.	476	359,604

11	Other - Specify	625	531,330

12	You founded/established the organization	88	58,458

97	Don't know	41	33,702

98	Refusal	18	11,394

99	Not stated	45	43,261

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1_11	Position:	68	Length:	1

How long have you been a volunteer for this organization?

FREQ	WTD

1	Less than 1 year	2,636	2,299,635

2	1 to 2 years	2,456	1,972,711

3	3 to 5 years	3,124	2,460,048

4	6 to 10 years	1,801	1,307,606

5	More than 10 years	2,966	2,026,921

7	Don't know	24	18,888

8	Refusal	11	5,171

9	Not stated	49	50,344

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	VD1DHR	Position:	69	Length:	4

Derived Variable: Total hours volunteered

FREQ	WTD

0001 : 3135	13,067	10,141,324

=======	==========

13,067	10,141,324

Coverage:	Volunteers

Volunteer Details:	FINWGHT	Position:	73	Length:	10.4

Sampling weight - 4 decimal places e.g. 99999.9999

FREQ	WTD

00052.0000 : 11597.0000	13,067	10,141,324

=======	==========

13,067	10,141,324

Coverage:	Volunteers

GS File

Giving Specifics:	MICRO_ID	Position:	1	Length:	5

Sequence number of record

Coverage:	Givers

Giving Specifics:	GS1DSM	Position:	6	Length:	2

Derived Variable: Solicitation method

FREQ	WTD

01	Mail	8,686	10,861,560

02	Charity event	4,370	5,141,767

03	Payroll deduction	1,428	2,166,434

04	Walkathon	8,862	10,875,167

05	In Memoriam	5,253	6,071,796

06	At work	2,630	3,706,183

07	Door-to-door	9,725	10,903,639

08	Shopping centre	4,135	6,244,606

09	Telephone	1,788	2,246,045

10	Church	6,193	8,045,125

11	TV, Radio etc.	1,322	1,646,305

12	On own	1,087	1,419,285

13	Stocks	29	29,856

14	Internet	30	42,713

15	Other	742	1,064,509

=======	==========

56,280	70,464,987

Coverage:	Givers

Giving Specifics:	GS1DID	Position:	8	Length:	2

Derived variable: Sequence number of organization within solicitation method

FREQ	WTD

01 : 55	56,280	70,464,987

=======	==========

56,280	70,464,987

Coverage:	Givers

Giving Specifics:	GS1CICN2	Position:	10	Length:	2

The International Classification of Non-Profit Organizations: ICNPO - Revision 1, 1996 - 2 digits

FREQ	WTD

01	Culture and recreation	3,397	3,853,157

02	Education and research	4,005	5,354,652

03	Health	24,093	28,867,453

04	Social services	10,579	13,868,414

05	Environment	1,103	1,446,042

06	Development and housing	292	308,357

07	Law Advocacy and Politics	898	1,054,002

08	Philanthropic Intermediaries and Voluntarism Promotion	2,416	3,825,865

09	International	1,068	1,364,621

10	Religion	7,978	9,907,162

11	Business and professional associations unions	43	76,053

12	Other (Not elsewhere classified)	408	539,209

=======	==========

56,280	70,464,987

Coverage:	Givers

Note:	See: International Classification of Non-Profit Organization: ICNPO - Revision 1, 1996 (Lester M. Salamon and Helmut K. Anheier)

Giving Specifics:	GS1D03	Position:	12	Length:	5

Derived variable: Amount of donation - adjusted for joint giving

FREQ	WTD

00001 : 13000	56,280	70,464,987

=======	==========

56,280	70,464,987

Coverage:	Givers

Giving Specifics:	GS1_04	Position:	17	Length:	1

Was this donation made by you personally or jointly by you and your spouse or partner?

FREQ	WTD

1	Personally	6,770	8,822,611

2	Jointly	7,955	9,700,366

6	Valid skip	41,541	51,920,727

7	Don't know	12	10,448

8	Refusal	1	934

9	Not stated	1	9,901

=======	==========

56,280	70,464,987

Coverage:	Givers who answered FG1_02=3 on MAIN file

Giving Specifics:	GS1_05	Position:	18	Length:	1

In the past 12 months did you make any other donations: ... (solicitation method)?

FREQ	WTD

1	Yes	14,657	15,690,489

2	No	37,297	48,799,335

7	Don't know	172	199,942

8	Refusal	16	23,207

9	Not stated	4,138	5,752,014

=======	==========

56,280	70,464,987

Coverage:	Givers

Giving Specifics:	FINWGHT	Position:	19	Length:	10.4

Sampling weight - 4 decimal places e.g. 99999.9999

FREQ	WTD

00052.0000 : 33761.0000	56,280	70,464,987

=======	==========

56,280	70,464,987

Coverage:	Givers