Time use survey
Updated: 5 September 2024
Next update: Not yet determined
Males | Females | |||||
---|---|---|---|---|---|---|
1980 | 2000 | 2022 | 1980 | 2000 | 2022 | |
Total | 24.00 | 24.00 | 24.00 | 24.00 | 24.00 | 24.00 |
Income-producing work, travel to/from worc etc. | 4.40 | 4.34 | 4.11 | 2.23 | 2.59 | 3.01 |
Household work | 2.26 | 2.41 | 2.46 | 4.46 | 3.56 | 3.30 |
Education | 0.30 | 0.22 | 0.27 | 0.31 | 0.27 | 0.31 |
Personal needs | 10.11 | 9.46 | 10.08 | 10.19 | 10.11 | 10.44 |
Leisure time | 6.08 | 6.28 | 6.17 | 5.56 | 6.20 | 6.06 |
Other, unknown | 0.05 | 0.08 | 0.11 | 0.04 | 0.07 | 0.09 |
More figures from this statistics
- 14320: Time spent on different activities an average day, by sex and age 1970 - 2022
- 14321: Time spent on different activities an average day, by family cycle 2022
- 14324: Time spent on different activities an average day, by centrality 2022
- 14339: Time spent alone and with others, by sex and age 2022
- 14337: Share of respondents that spent time on activities at different time of day, by weekday (per cent) 2022
About the statistics
The time use survey measures the amount of time people spend doing various activities, such as paid work, housework, childcare, volunteering and leisure activities. It also provides insight into our daily rhythm and how we socialize.
The information under «About the statistics» was last updated 4 September 2024.
Activities in the Time Use Statistics are divided into the following 5 main groups:
- Income-generating work
- Household work
- Education
- Personal needs
- Leisure
Income-generating work
Income-generating work includes time spent on all income-generating activities, both within regular working hours and overtime. Meals at the workplace, time spent at the workplace before or after working hours (for changing clothes, etc.), breaks, and work-related travel are also included in the main group “Income-generating work.”
Household work
Household work includes time spent on all unpaid production of goods and services. Household work includes activities such as housework (e.g., cooking, washing dishes, cleaning), maintenance work (gardening, home repairs), care work (caring for one’s own children or others), shopping for goods and services, and travel related to household work.
Education
Education includes all time spent on education, including actual teaching (school hours, lectures, seminars, etc.), homework related to education, breaks and pauses at the educational institution, and travel related to education.
Personal needs
Personal needs include time spent on sleep, rest, personal hygiene, etc., and time spent on meals.
Leisure
Leisure includes all time spent on leisure activities, i.e., time that is neither income-generating work, household work, education, nor time spent on personal needs. Sports and outdoor activities, entertainment and cultural activities, social life, time spent reading, watching TV, listening to music, volunteering and organizational participation, handicrafts, arts and hobbies, games, using a computer, time spent on social media, and travel related to various leisure activities are included.
Main activity and secondary activity
Main activity: Participants in the survey are asked to write down what they did over two days, in detail down to 10 minutes. They should describe what they did in their own words, and only one activity at a time.
Secondary activity: If one does several things simultaneously within the same time interval, they should write the most important activity in the main activity field and the second most important activity in the secondary activity field.
Location / mode of travel
For each activity, participants should state where they are if they are at a location, for example, at home, at work or school, at someone else’s home, at a shopping center, or at a cabin. If they are traveling from one place to another, they should report the mode of transport they are using, for example, walking, cycling, driving, public transport, etc.
With whom
For each activity, participants should state who they are with if they are not alone. By companionship, we mean the time when other people are in the same place as you and where there is a certain degree of contact. When sleeping, we define that you are alone, even if others are in the same room. If other household members are at home but in different rooms than the respondent, they should also answer that they are alone.
Different measures of time use
In the statistics, we operate with three measures of time use:
-
Time use among all
The average time spent on an activity in the entire population or within a whole group of the population, e.g., women. This includes both those who have spent time on an activity on an average day and those who have not, i.e., they have 0 minutes for this activity.
-
Time use among those who have performed the activity
The time those who have performed the activity on an average day have spent on it.
-
The proportion who have performed the activity
The percentage of people who have performed an activity on an average day.
Gender https://www.ssb.no/en/klass/klassifikasjoner/2
Age Age is the age on the date of the first recording day.
Education (16-79 years) The respondent’s highest completed level of education.
- Primary school
- Secondary school
- University and college short (up to 4 years)
- University and college long (4 years or more)
Family phase Individuals are grouped according to their family phase, based on the person’s age, relationship status (single/in a relationship), whether the person has children, and the age of the youngest child. Single refers to individuals not in a relationship (they may still live with others, such as parents or children). Couples refer to both married and cohabiting individuals. Groups with children include individuals living with their own children (including stepchildren and adopted children) aged 0-19 years.
Economic status This variable covers the person’s own perception of their main activity at the time of the interview. This differs from the definition by the ILO (International Labour Organization), which has a predefined classification of economic status.
- Employed (includes both employees and self-employed, full-time and part-time)
- Unemployed
- Student (includes conscripts)
- Pensioner
- Disabled
- Other (includes homemakers)
Centrality The centrality index distributes municipalities based on proximity to workplaces and service functions, without using urban areas in the classification. The centrality distribution follows the standard for centrality, which categorizes all municipalities from 1 (most central) to 6 (least central). A complete list of which municipalities belong to which centrality category can be found here: https://www.ssb.no/en/klass/klassifikasjoner/128/koder
Name: Time use survey
Topic: Culture and recreation
Division for income and living conditions statistics (350)
Representative for the whole country. Data for regions of the country and place of residence
Every tenth year
Data is delivered to Eurostat in accordance with the European Parliament and Council Regulation (EU) 2019/1700. This framework regulation came into effect in November 2019.
The Time Use Survey is not mandated but follows the framework regulation and voluntarily delivers data in accordance with it.
SSB stores collected and revised data securely, in accordance with applicable data processing legislation.
Anonymized files are also available for researchers and students through Norwegian Agency for Shared Services in Education and Research, Sikt
The main purpose of creating time use statistics is to measure how much time the population spends on various activities. Time use statistics play a particularly important role in providing knowledge about time spent on unpaid work.
SSB has published time use statistics since 1971, and then approximately every ten years. Some changes were made to the categorization in 1980, so comparisons between 1971 and later years can only be made at a general level.
Important external users include the administration, media, and researchers, particularly in the fields of gender studies, leisure research, living conditions, and quality of life. Beyond this, the statistics serve as an information basis for others interested in time use and how the population’s time use has changed over time.
The statistics are developed, produced, and disseminated pursuant to the Act of 21 June 2019 No. 32 on official statistics and Statistics Norway (the Statistics Act). The time use statistics are part of the national program for official statistics, main area Culture and Leisure, sub-area Time and Media Use.
Voluntary survey.
It is recommended that the Time Use Survey be conducted in all EU/EEA countries. This is in line with the European Parliament and Council Regulation (EU) 2019/1700, which establishes a common framework for European statistics based on surveys targeting individuals and households. This framework regulation came into effect in November 2019.
The population in the statistics consists of residents aged 9-79 years who do not live in institutions. In the surveys conducted in 1990 and 2000, the population was aged 16-79 years, while in the surveys conducted in 1971 and 1980, it was aged 16-74 years.
Each person participating in the survey records what they do in a web application for two days. The unit in the statistics is day.
The data sources are information that the representative sample enters into a web application where they answer a questionnaire and fill in information about their activities for two days. In previous time use surveys, an interview was conducted, and the representative sample entered information about their activities in a paper diary instead of a web application.
Information from registers is also linked. Income information is obtained from SSB’s income register, which is mainly based on information from the tax authorities. Household information and other background variables such as gender and age are obtained from the population register. Education level is obtained from the education register.
The gross sample for the Time Use Survey in the latest survey is 8,800 people. The sample is drawn from SSB’s household expenditure register, and the recording days are distributed randomly so that all days of the year are equally represented.
Data collection takes place over an entire year, in the 2022/23 survey from 10.10.2022 to 09.10.2023.
The data collection is done through a web application that respondents receive via SMS after being contacted by an interviewer from SSB. After logging in and consenting to participate, respondents answer some background information about themselves and their life situation, which can contribute to the analysis of their time use. For the two days the respondents are to participate, they fill in what they did—and what they possibly did simultaneously, down to a minimum of ten-minute intervals. For each activity, they also fill in who they were with and where they were when they did the activity, both location and possibly mode of travel if the activity involved moving from one place to another. All hours of the two days they participate must be filled out.
See more about the data collection in the survey documentation.
Statistics Norway (SSB) has developed guidelines for linking various data sources for statistical purposes. These guidelines are based on SSB’s general license for personal registers granted by the Data Protection Authority, as well as the Statistics Act. According to these guidelines, responses given in surveys should only be used to produce statistics, meaning that information can only be provided about groups, not individuals.
Interviewers and all employees at Statistics Norway are bound by confidentiality. SSB has appointed a Data Protection Officer. SSB does not publish figures that pose a risk of disclosing individual information about persons or households.
More information can be found in the ‘Confidentiality’ section on SSB’s page about methods in official statistics.
The Time Use Survey has been transitioned from telephone/visit-assisted interviews and paper diaries to a self-administered web application where participants responded to a web form and recorded activities/tasks in an app.
Activities recorded in the Time Use Survey are coded according to a coding system that has largely remained stable over time. The code list has been somewhat modified in line with changes in society.
Until 1990, the time interval for detailing activities/tasks was 15 minutes. Since then, it has been 10 minutes.
Measurement and Processing Errors
In any survey, both censuses and sample surveys, there will be responses that are incorrect. Errors can occur both during data collection and processing.
Collection Errors Data collection in the Time Use Survey has been conducted using a web application that the respondent administered themselves. An interviewer contacted those selected to participate beforehand and explained what the survey was about, how to install the web application, and how to conduct the survey. Despite prior information, understanding and interpretation of questions in self-administered surveys are left to the participants. This can affect the quality of the responses, for example, if questions are misunderstood. User tests of the web application were conducted before the survey to ensure it was designed to be as understandable and user-friendly as possible. This is presented in more detail in Notater 2023/26.
Processing Errors Processing errors are deviations between the value that is recorded and the value that is finally reported. Such errors can occur, for example, in the coding process. Activities that participants register in the web application are coded into 3-digit codes for time use. This has been done using machine learning and manual quality checks of the machine learning. Both manual coding and coding using machine learning/algorithms are subject to uncertainty, especially for activities that occur rarely or where what the respondent has written is difficult to interpret.
Non-response Errors The gross sample is drawn to reflect the population, but when non-response is not equally distributed across all groups, the net sample will no longer be fully representative. This bias will vary with group division and the variable being considered. To correct for biases in the net sample relative to the gross sample, the figures in the tables are weighted.
Sampling Errors The results of a survey are associated with several forms of uncertainty or errors. One type is sampling variance, which is due to measurements being taken from a sample instead of a census. The size of the sampling variance (standard deviation) depends, among other things, on the sample size, the length of the registration period, and the way the sample is drawn.
See more about general aspects of methods and quality in official statistics.