322116
/en/kultur-og-fritid/statistikker/orgakt/hvert-3-aar
322116
statistikk
2017-11-13T08:00:00.000Z
Culture and recreation;Culture and recreation;Social conditions, welfare and crime
en
orgakt, Activity in organisations, political participation and social networks, survey on living conditions, members, activity in organisations (for example political organisations, religious organisations, environmental protection organisations), social networks, political participation, religious participation, interhuman trust, voluntarily work, volunteerism, social capitalOrganisations and memberships, Religion and life stance , Living conditions , Culture and recreation, Social conditions, welfare and crime
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Activity in organisations, political participation and social networks, survey on living conditions

Updated

Next update

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Key figures

38 %

have done volunteer work for organisations in the past 12 months

Participation and social network among people aged 16 years and older (per cent)
20142017
1As of 2014 it is specified that messages on social media (eg. Facebook and Twitter) shall not be included in the question ' Have written internet article to influence an issue in the last 12 months.'
Active member of two or more organisations1614
Performed unpaid work for an organisation in the last 12 months3838
Written internet article to influence an issue in the last 12 months187
Have someone to ask for advice for how to find one's way in public bureaucracy7982
Have someone to ask for health and illness advice8486

See more tables on this subject

Table 1 
Organisation membership and participation among persons aged 16 years and older, by type of organisation and age. Per cent.

Organisation membership and participation among persons aged 16 years and older, by type of organisation and age. Per cent.
2017
Years, total16-24 years25-44 years45-66 years67 years or older
Employed and member of trade union5126525841
Employed and active in trade union11511123
Employed and member of trade organisation, trade association or professional body199192033
Employed and active in trade organisation, trade association or professional body54567
Number of employees who responded4 1144431 6651 870136
 
Member of political party765811
Active member of political party22233
Member of sports team2529272716
Active member of sports team152218156
Member of outdoor activity organisation1411141811
Active member of outdoor activity organisation55474
Member of music, theatre or art organisation11861314
Active member of music, theatre or art organisation8751010
Member of patient or relatives organisation, or other health organisation9261016
Active member of patient or relatives organisation, or other health organisation30236
Member of non-profit organisation within the environment, humanitarian issues, human rights etc.1612161618
Active member of non-profit organisation within the environment, humanitarian issues, etc.66558
Member of religious association65657
Active member of religious association43336
Member of non-religious belief organisation33233
Active member of non-religious belief organisation00001
Member of other organisation11691317
Not a member of any organisation2337251626
Not active in any organisation5860595661
Member of two or more organisations4729475445
Active member of two or more organisations1411131714
Total number of respondents6 1797841 8552 3471 193

Table 2 
Participation in volunteer work among persons 16 years and older, by organisation type and age. Per cent.

Participation in volunteer work among persons 16 years and older, by organisation type and age. Per cent.
2017
Years, total16-24 years25-44 years45-66 years67 years or older
Performed unpaid work for an organisation in the last 12 months3836414230
Average number of hours unpaid work for organisations the last year, among persons doing unpaid work81647375124
 
Performed unpaid work for political party in the last 12 months11111
Performed unpaid work for sports team in the last 12 months161521184
Performed unpaid work for outdoor activity organisation in the last 12 months22132
Performed unpaid work for music, theatre or art organisation in the last 12 months45453
Performed unpaid work for patient or relatives organisation, or other health organisation21123
Performed unpaid work for non-profit organisation within the environment, humanitarian issues, etc.67557
Performed unpaid work for religious association in the last 12 months32235
Performed unpaid work for non-religious belief organisation in the last 12 months00000
Performed unpaid work for residents' association, community group, etc. in the last 12 months62686
Total number of respondents6 1797841 8552 3471 193

Table 3 
Political participation among persons aged 16 and over, by age. Per cent.

Political participation among persons aged 16 and over, by age. Per cent.
2017
Years, total16-24 years25-44 years45-66 years67 years or older
1Self-reported voter participation may deviate from official turnout statistics.
2Social media postings (e.g. from Facebook and Twitter) are not to be included in the question 'Written internet article to influence an issue in the last 12 months'
Voted in last parliamentary election18044738792
Written newspaper or journal article to influence an issue in the last 12 months53465
Written internet article to influence an issue in the last 12 months277884
Contacted politician or public official to influence an issue in the last 12 months125101713
Worked voluntarily for political party, organisation or other group to influence an issue in the ...1089128
Participated in legal public demonstration in the last 12 months610653
Total number of respondents6 1797841 8552 3471 193

Table 4 
Religious affiliation and participation among persons aged 16 years and older. Per cent.

Religious affiliation and participation among persons aged 16 years and older. Per cent.
2017
Years, total16-24 years25-44 years45-66 years67 years or older
Belongs to a religion or denomination (per cent)5043455260
Attend religious service/meeting at least monthly (as a percentage of religious)1918201624
Number of respondents6 1797841 8552 3471 193

Table 5 
Social network for persons aged 16 and older, by age and sex. Percent.

Social network for persons aged 16 and older, by age and sex. Percent.
2017
All16-24 years25-44 years45-66 years67 years or olderMalesFemales
1As of 2017, this is the proportion of those that have a car.
Have someone to ask for a minor loan to cover an unexpected expense90979488828991
Have someone that can help:
- with maintenance or repairs of dwelling89939188848989
- with the computer86918588808488
- with car troubles172918067606976
- with transportation of larger objects91939289889091
Have someone to ask:
- for health and illness advice86948985788388
- for advice in case of severe conflict91969390848893
- for advice on how to find one's way in public bureaucracy82928181817887
Number of respondents6 1797841 8552 3471 1933 1653 014

Table 6 
Inter-human trust among persons aged 16 years and older, by age and sex. Average score (0-10)

Inter-human trust among persons aged 16 years and older, by age and sex. Average score (0-10)
2017
Years, total16-24 years25-44 years45-66 years67 years or olderMalesFemales
Most people can be trusted (10) or one can never be too careful (0)7.26.87.07.47.57.17.3
Most people will try to be fair (10) or they will take advantage of you (0)7.67.47.37.78.07.47.8
Number of respondents6 1797841 8552 3471 1933 1653 014

About the statistics

Statistics on civic engagement in the Norwegian population, covering topics such as organisational activity and membership, political and religious participation, social networks and interpersonal trust. The data is based on the survey on living conditions EU-SILC.

Definitions

Definitions of the main concepts and variables

Organisation membership : Organisation membership includes, for example, trade unions, political parties, bands and choirs, sports teams - a total of 11 different types of organisations.

Organisational activity and volunteer work: We ask those who are members of an organisation about how active they are in the organisation, and count the number of organisations the individual is active in. In addition, volunteer work for organisations and political parties are mapped, as well as how many hours the volunteers work for free per year.

Religious affiliation and participation: Here we look at whether people define themselves as religious, and how often they attend service and religious meetings, except for special occasions such as weddings, funerals and baptisms.

Political participation: Political participation includes self-reported voting in the last parliamentary election and to what extent people participate politically through writing newspaper articles, participate in demonstrations, etc.

Social network: This topic covers social networks in terms of whether people have someone to ask for advice and practical help.

Inter-human trust is measured on a scale from 0 to 10 and published as a mean score. The score is based on questions about to which extent people can be trusted and to what extent people will take advantage of you if given the chance. The respondents answer on a scale from 0 to 10, where 0 indicates low confidence, while 10 indicates high confidence.

Overall, the topics political participation, social networks and inter-human trust are different aspects of what is often referred to as social capital.

Standard classifications

Age

Persons are grouped by age at the beginning of the year for the completion of the main part of the interview.

Area of residence

Persons are grouped according to sparsely populated areas or densely populated areas of different size. Sparsely populated areas include clusters of houses with less than 200 inhabitants. Densely populated areas include areas with 200 inhabitants or more, and a distance between houses – as a main rule – of not more than 50 metres.

Region

The regions include the following counties:

Oslo and Akershus

Eastern Norway excluding Oslo and Akershus: Østfold, Vestfold, Hedmark, Oppland, Buskerud and Telemark

Agder and Rogaland: Aust-Agder, Vest-Agder and Rogaland

Western Norway: Hordaland, Sogn og Fjordane, Møre og Romsdal

Trøndelag: Sør-Trøndelag and Nord-Trøndelag

Northern Norway: Nordland, Troms and Finnmark.

Family cycle phase

Persons are grouped mainly by age, marital status and whether the person has children. There is a distinction between singles and couples, where couples include both married couples and cohabitants. The concept “single person” does not necessarily refer to persons living alone in the household.               

The groups with children consist of persons living with their own child(ren) (including stepchildren and adopted children) aged 0-19 years in the household.               

Education

Highest level of attained education divided into four levels: below upper secondary level, upper secondary level, short tertiary education and long tertiary education.     

Economic status

This variable covers the person's own perception of the main activity on the date of interview. This differs from the ILO definition, which has a predefined classification of economic status.   

Working full time: includes employees and the self-employed

Working part time: includes employees and the self-employed

Unemployed

Student, pupil, further training, unpaid work experience: includes persons in vocational training and military service

In retirement

Permanently disabled or/and unfit to work

Fulfilling domestic tasks and care responsibilities

Administrative information

Name and topic

Name: Activity in organisations, political participation and social networks, survey on living conditions
Topic: Culture and recreation

Responsible division

Division for Social Welfare Statistics

Regional level

National, regional and residential area.

Frequency and timeliness

The Survey of Living Conditions EU-SILC is carried out annually. From 2011 onwards, the survey consists of a set of core questions and theme sections with rotating topics. The topics are repeated in a cycle of three years. Outdoor activities, organisational activity, political participation and social networks were topics in the 2011, 2014 and 2017 surveys. The other rotating topics are sports and physical activities, housing conditions and offences and fear of crime. There are separate surveys of health, care and social relations and work and working conditions.

International reporting

In 2011, the data collection of the national topics in the Survey on Living Conditions was merged with the Survey on Income and Living Conditions (EU-SILC). EU-SILC is a European sample survey of income, social exclusion and living conditions that is coordinated through the EU's statistics agency Eurostat, and anchored in the European Statistical System (ESS). Cross-sectional and panel files are sent to Eurostat annually. EU-SILC microdata is available to researchers and students through Eurostat.

Microdata

Data files with results from the interviews and statistical files with coded variables, linked information and weights are stored. Anonymised files are also available for researchers through the NSD - Norwegian Centre for Research Data.

Background

Background and purpose

The Survey on Living Conditions has two main purposes. One is to shed light on the main aspects of living conditions in the Norwegian population. The other is to monitor the developments in living conditions, both in terms of levels and distribution. Over a three-year period the survey covers all main areas of the living conditions.

From 1973 to 1995, Statistics Norway carried out six general surveys named Surveys of Level of Living. These surveys included household economy, housing conditions, leisure activities, social relations, offences and fear of crime, health, care, education, employment and working conditions.

In 1996, a coordinated system of surveys was introduced. The system consisted of annual surveys with a set of rotating topics and an annual panel survey. Work environment was the theme in 1996, 2000, 2003, 2006 and 2009. Housing, leisure activities and victims of crime were topics in 1997, 2001, 2004 and 2007. Health care and social relations were topics in 1998, 2002, 2005 and 2008. The annual panel survey covered some important main topics.

A new system of surveys of living conditions was introduced in 2011. A key objective of the new system was to improve the harmonisation with international requirements connected to EU-SILC. To a large degree, the new system covers earlier topics, in addition to new themes that illuminate political participation, social networks and financial and social problems.

In addition to the regular surveys, Statistics Norway has conducted externally commissioned surveys on living conditions in selected segments of the population.

Users and applications

The main users are government ministries, directorates, and research communities in the areas of working environment, health care, housing, leisure and local environment and living conditions in general.

Data from the survey is also widely used by the media and the general public.

Equal treatment of users

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 08:00 am. Prior to this, a minimum of three months' advance notice is given in the Statistics Release Calendar. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

The concept of living conditions covers a very wide range of topics. Statistics on living conditions are therefore associated with many other statistics.

Information on housing is also available from registers. The register-based statistics on housing conditions enable breakdowns at a more detailed geographical level. The Survey of Consumer Expenditure also has issues on housing conditions, including a more detailed summary of most kinds of housing expenditures.               

Information on employment is collected from several sources. The Labour Force Survey is an important source and provides information that supplements the information in the study of living conditions, e.g. training in the workplace, weekend work, working arrangements and the attachment of the disabled to the labour market. Some records, such as the employee/employer registry, sick leave registry etc. are also relevant. The information in these registers can also be utilised in the Survey on Living Conditions.

Information on wealth and income is retrieved from registry data. Furthermore, data on some demographic variables and data on education and social benefits are provided from registers.               

The topic leisure activities no longer includes information about cultural activities. This can be obtained from the Cultural  and Media Use Surveys conducted by Statistics Norway and from different cultural statistics. 

Legal authority

Voluntary survey

EEA reference

1177/2003

Production

Population

The population is residents aged 16 years and over not living in institutions.

Data sources and sampling

Data sources are interview data from representative sample surveys and various associated registries.

The gross sample for the Survey on Living Conditions, EU-SILC comprises approximately 11 500 individuals.

The sample is drawn according to the procedures for random selection.

Collection of data, editing and estimations

Data collection is mainly done by telephone (Computer Assisted Telephone Interview CATI), and in some cases the interviewer visits the interviewee (Computer Assisted Personal Interview CAPI). Data collection for the Survey of Living Conditions EU-SILC mainly occurs from January to May in the year of interview.

The interview takes place using a computer-based questionnaire. The questionnaire includes various controls to prevent incorrect answers or registration errors during the interview. In some cases, the interviewer receives warnings for the registered response. In other cases, there is a limit on values that cannot be exceeded. Moreover, it verifies that only valid codes are recorded.

Surveys that collect information on industry and occupation are encoded by Statistics Norway.

The sample consists of people. The analysis unit is primarily a person, but can in some cases be a household. Using the household as the unit of analysis requires the use of weights.

Seasonal adjustment

Not relevant

Confidentiality

Not relevant

Comparability over time and space

The current questions about organisational activity, political participation and social networks are partly based on earlier surveys. Organisational activity was a topic in the Survey on Living Conditions in 1997, 2001, 2004, 2007, 2011, 2014 and 2017. Political participation and social network were introduced as topics in 2011. Some time series on organisational activity can be traced back to the Survey on level of living from the years 1980-1995.

Current categories that are comparable with earlier surveys are:

Member/active member in political party

Member/active member of sports team

Member/active member of outdoor activity organisation

Employed and member/active member of trade union

Employed and member/active member of trade organisation, trade association or professional body

Accuracy and reliability

Sources of error and uncertainty

Non-response errors

The gross sample for the survey is drawn in order to reflect the whole population, however, because non-response is not equally distributed, the net sample will not be fully representative. This bias will vary for the relevant groups and variables. In order to adjust for some of the biases, the data is weighted for gender, age, education and family size.

Sampling errors

Uncertainty of data based on only a part of the population is often called sampling variance. The standard deviation is a measure of this uncertainty. The size of the standard deviation partly depends on the number of observations in the sample, and on the distribution of a variable in the whole population.

Statistics Norway has not made exact calculations of standard deviation of the data. However, in table 1, the approximate size of the standard deviation is given for a selection of observed percentages.

To illustrate the uncertainty associated with a percentage, we can use an interval to give the level of the true value of an estimated quantity (the value obtained if making an observation on the whole population instead of an observation based on part of the population). Such intervals are called confidence intervals if constructed in a special way. In this connection, the following method can be applied: let M be the estimated quantity, and S the estimate of standard deviation of M. The confidence interval will be an interval with limits (M - 2*S) and (M + 2*S). This method will give an interval containing the true value, with approximately 95 per cent probability.

The following example illustrates the use of table 1 for finding confidence intervals: The estimate of standard deviation of 70 per cent is 3.2 when the estimate is based on 300 observations. The confidence interval for the true value has limits 70 ± 2*3.2, which means the interval is from 63.6 to 76.4 per cent.

Table 1. Standard deviation in per cent

Revision

Not relevant

Contact