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Lifestyle Stats: compare key data on Norway & Sweden

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Definitions

  • Amphetamine use: Percentage of people who have used amphetamines, generally for ages 15 and over. Spain and Greece: data for ages 15-64. Netherlands: data for ages 15-59. United Kingdom: data for ages 16-59. Germany: data for ages 18-59. Belgium: data for ages 18-65. France: data for ages 18-69. Data generally for 1999 or 1998. Germany, Netherlands, Norway, Spain, Sweden: data for 1997. Austria: data for 1996. Denmark, France: data for 1995. Belgium: data for 1994. Canada: data for 1993.
  • Cannabis use: Percentage share of people who have used cannabis, generally including people 15 and above. Different nations have, however, focussed their studies on different age groups. United States and Netherlands: data for years 12 and above. Greece: Data for ages 12 to 64. Australia: data for ages 14 and above. United Kingdom: data for ages 16 to 59. Germany: data for ages 18-59. Denmark and France: data for ages 18 to 69. Data for 1998 or 1999 in most cases. Germany, Poland, and Spain: data for 1997. Austria: data for 1996. Denmark, France and Ireland: data for 1995.
  • Food and drink > Alcohol > Consumption > Current: Alcohol consumption - Litres per capita by population aged above 15. (Data for 2003).
  • Food and drink > Beer > Consumption: Litres of beer consumed per person per year (2002).
  • Food and drink > Coffee > Consumption: Kilograms of coffee consumed per person per year, 2002.
  • Food and drink > Exports: Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels)."
  • Food and drink > Fruit juice > Consumption: Consumption of fruit juices. Litres per person per year, 2002.
  • Food and drink > Soft drink > Consumption: Consumption of carbonated soft drinks. Litres per person per year, 2002.
  • Food and drink > Tea > Consumption: Kilograms of tea consumed per person per year, 2002.
  • Happiness level > Very happy: Proportion of people who answered the survey question: "Taking all things together, would you say you are: very happy, quite happy, not very happy, or not at all happy?" by stating that they were "Very happy".
  • Happiness net: This statistic is compiled from responses to the survey question: "Taking all things together, would you say you are: very happy, quite happy, not very happy, or not at all happy?". The "Happiness (net)" statistic was obtained via the following formula: the percentage of people who rated themselves as either "quite happy" or "very happy" minus the percentage of people who rated themselves as either "not very happy" or "not at all happy".
  • Life satisfaction: Most scores are based on responses to the following question: "All things considered, how satisfied or dissatisfied are you with your life-as-a-whole now? 1 dissatisfied to10 satisfied" (item code O-SLW/c/sq/n/10/a). Scores of ten nations are based on responses to a somewhat different question: "Suppose the top of the ladder represents the best possible life for you and the bottom of the ladder the worst possible life. Where on this ladder do you feel you personally stand at the present time?" The response was rated on a ladder scale ranging from 0 to 10 (item code O-BW/c/sq/l/11/c). We transformed the scores using the information of nations in which both this item and the above question on life-satisfaction had been used in about the same years.
  • Quality of life index: Quality of Life Index is an estimation of overall quality of life by using empirical formula (the formula is an our opinion and it's based on experiments). The actual formula might be changed. Currently, we put the highest weight to pollution - if the environment is polluted too much, the economy or safety cannot fulfill it. We put the second highest importance to safety, since it is more important to feel safe rather than wealthy, in our opinion. etc. The number 65 is added so that the numbers are in such range so it rarely goes under zero (65 is a range modifier).
  • Roller coasters: Number of roller coasters in each country. Includes both wooden and steel constructions.
  • Society > Subjective well-being > People reporting negative experiences > Depression: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Leisure > Leisure Time > Leisure time across activities > Sports: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Very proud of their nationality: Percentage responding in 1990s surveys that they were very proud of their nationality.
  • Life satisfaction inequality: This data is indicative of how much citizens differ in enjoyment of their life-as-a-whole.Life-satisfaction assessed by means of surveys in samples of the general population. Scores may be too low in some countries, due to under sampling of rural and illiterate population. In this ranking the focus is not on the level of happiness in the country, but on inequality in happiness among citizens.Inequality in happiness can be measured by the dispersion of responses to survey-questions. The degree of dispersion can be expressed statistically in the standard deviation and surveys items rated on a 10 step numerical scale are particularly usefull for that purpose. Most scores are based on responses to the following question: "All things considered, how satisfied or dissatisfied are you with your life-as-a-whole now? 1 dissatisfied to10 satisfied".
  • Roller coasters per million: Number of roller coasters in each country. Includes both wooden and steel constructions. Figures expressed per million population for the same year.
  • Society > Volunteering and social support > Volunteering > Volunteered your time: A tool for valuing volunteering is provided by the new Handbook on Nonprofit Institutions in the System of National Accounts, developed by the Johns Hopkins Center for Civic Society Studies in co-operation with the United Nations Statistics Division. The Handbook recommends that countries regularly produce “satellite accounts” of the non-profit sector, providing a comprehensive picture of its size and operation. So far, eight OECD countries have implemented this handbook, with data referring to a year between 1999 and 2004, and four additional countries are committed to do so in the future.

    Beyond the comprehensive information available through these handbooks, information on the size of volunteering and social support is available for a larger number of countries through household surveys. The data presented here are drawn from the Gallup World Poll. Data on volunteering are based on the two following questions: “Have you donated money to an organization in the last month?” and “Have you volunteered your time to an organization in the last month?”. Data on social support from the same survey are based on the questions: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them?” and “Have you helped a stranger or someone you didn’t know who needed help in the last month?”. Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various questions.
  • Not proud of their nationality: Percentage responding in 1990s surveys that they were not proud of their nationality.
  • Food and drink > Bottled water > Consumption: Consumption of bottled water. Litres per person per year, 2002.
  • Food and drink > Wine > Consumption: Litres of wine consumed per person per year (2002).
  • Food and drink > Subway resturants: Number of Subway resturants by country
  • Leisure > Leisure Time > Leisure time across demographic groups > Total: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Will fight for country: Percentage in 1990s surveys responding that they are willing to fight for their country.
  • Trust people: Percentage in 1990s surveys agreeing that people can be trusted.
  • Food and drink > Big Mac nutritional values > Carbohydrates: Grams of carbohydrates in a McDonald's Big Mac in each country. Results are from the McDonald's website in each country.
  • Food and drink > Big Mac nutritional values > Fat:

    Grams of fat in a McDonald's Big Mac in each country. Results are from the McDonald's website for each country.

  • Society > Suicides > Suicide rates and per capita GDP > Suicide rate: Data on suicide rates are based on official registers on causes of death based on international conventions surrounding the International Statistical Classification of Diseases and Related Health Problems (ICD). The rates shown here are standardised using the OECD population structure of 1980, so as to allow controlling for differences in the age structure of the population across countries and over time. Suicide rates are expressed as deaths per 100 000 individuals.
  • Amphetamine use per million: Percentage of people who have used amphetamines, generally for ages 15 and over. Spain and Greece: data for ages 15-64. Netherlands: data for ages 15-59. United Kingdom: data for ages 16-59. Germany: data for ages 18-59. Belgium: data for ages 18-65. France: data for ages 18-69. Data generally for 1999 or 1998. Germany, Netherlands, Norway, Spain, Sweden: data for 1997. Austria: data for 1996. Denmark, France: data for 1995. Belgium: data for 1994. Canada: data for 1993. Figures expressed per million population for the same year.
  • Food and drink > Subway resturants per million: Number of Subway resturants by country. Figures expressed per million population for the same year.
  • Leisure > Leisure Time > Leisure time across activities > TV or radio at home: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Food and drink > Total spirit > Consumption: Litres of spirits consumed per person per year, 2002.
  • Society > Subjective well-being > Negative experience index: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Leisure > Leisure Time > Leisure time across demographic groups > Ages 15-24: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Society > Subjective well-being > People reporting negative experiences > Boredom: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Food and drink > Big Mac nutritional values > Salt equivalent:

    Milligrams of salt in a McDonald's Big Mac in each county.  Results are from the McDonald's website for each country.   

  • Food and drink > Big Mac nutritional values > Protein: Grams of protein in a McDonald's Big Mac in each country. Results are from the McDonald's website for each country.
  • Society > Subjective well-being > People reporting positive experiences > Enjoyment: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Leisure > Leisure Time > Leisure time across activities > Visiting or entertaining friends: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Financial satisfaction: Mean of self-ratings on ten-point scale - Survey in 1990s on financial satisfaction.
  • Undesirable neighbours > Different race: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Society > Volunteering and social support > Social support > Helped a stranger: A tool for valuing volunteering is provided by the new Handbook on Nonprofit Institutions in the System of National Accounts, developed by the Johns Hopkins Center for Civic Society Studies in co-operation with the United Nations Statistics Division. The Handbook recommends that countries regularly produce “satellite accounts” of the non-profit sector, providing a comprehensive picture of its size and operation. So far, eight OECD countries have implemented this handbook, with data referring to a year between 1999 and 2004, and four additional countries are committed to do so in the future.

    Beyond the comprehensive information available through these handbooks, information on the size of volunteering and social support is available for a larger number of countries through household surveys. The data presented here are drawn from the Gallup World Poll. Data on volunteering are based on the two following questions: “Have you donated money to an organization in the last month?” and “Have you volunteered your time to an organization in the last month?”. Data on social support from the same survey are based on the questions: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them?” and “Have you helped a stranger or someone you didn’t know who needed help in the last month?”. Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various questions.
  • Leisure > Recreation and culture > Government expenditure on recreation and culture: Household expenditure on recreation and culture includes purchases of audio-visual, photographic and computer equipment; CDs and DVDs; musical instruments; camper vans; caravans; sports equipment; toys; domestic pets and related products; gardening tools and plants; newspapers; tickets to sporting matches, cinemas and theatres; and spending on gambling (including lottery tickets) less any winnings. It excludes expenditures on restaurants, hotels, and travel and holiday homes but includes package holidays.

    Government expenditures include administration of sporting, recreational and cultural affairs as well as the maintenance of zoos, botanical gardens, public beaches and parks; support for broadcasting services and, where present, support for religious, fraternal, civic, youth and other social organisations (including the operation and repair of facilities and payment to clergy and other officers.) Also included are grants to artists and arts companies. Capital outlays such as the construction of sports stadiums, public swimming pools, national theatres, opera houses and museums are included.
  • Undesirable neighbours > Homosexuals: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Society > Subjective well-being > People reporting negative experiences > Anger: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Society > Volunteering and social support > Volunteering > Donated money: A tool for valuing volunteering is provided by the new Handbook on Nonprofit Institutions in the System of National Accounts, developed by the Johns Hopkins Center for Civic Society Studies in co-operation with the United Nations Statistics Division. The Handbook recommends that countries regularly produce “satellite accounts” of the non-profit sector, providing a comprehensive picture of its size and operation. So far, eight OECD countries have implemented this handbook, with data referring to a year between 1999 and 2004, and four additional countries are committed to do so in the future.

    Beyond the comprehensive information available through these handbooks, information on the size of volunteering and social support is available for a larger number of countries through household surveys. The data presented here are drawn from the Gallup World Poll. Data on volunteering are based on the two following questions: “Have you donated money to an organization in the last month?” and “Have you volunteered your time to an organization in the last month?”. Data on social support from the same survey are based on the questions: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them?” and “Have you helped a stranger or someone you didn’t know who needed help in the last month?”. Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various questions.
  • Leisure > Leisure Time > Leisure time across demographic groups > Ages 65 and over: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Leisure > Leisure Time > Leisure time across demographic groups > Ages 25-44: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Society > Subjective well-being > People reporting negative experiences > Worry: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Food and drink > Big Mac nutritional values > Energy: Amount of kilocalories in a McDonald's Big Mac in each county. Results are from the McDonald's website for each county.
  • Leisure > Leisure Time > Leisure time across demographic groups > Women: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Food and drink > Alcohol > Consumption > 2000: Alcohol consumption - Litres per capita by population aged above 15 in 2000.
  • Society > Subjective well-being > People reporting negative experiences > Sadness: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Society > Subjective well-being > People reporting negative experiences > Pain: Measures of life satisfaction reflect the cognitive evaluation of life as a whole, now and five years from now, made by each person. The measures shown here are based on ladder-of-life questions, which ask respondents to rate their life from the worst (0) to the best (10) level, and refer to the share of people who rate their life (today and in the future) at step 7 or higher.

    Measures of positive and negative experiences and feelings refer to people who declared having experienced six different forms of negative and positive experiences during the previous day. Also shown are two composite indexes of positive and negative experiences, calculated at the individual record level. For each person, the 6 items are recoded so that positive answers are scored as 1 and negative answers (including “don’t know” and “refused to answer”) a 0; an individual record has an index calculated if it has at least 5 out of 6 valid scores. Each person’s composite index is the mean of valid items multiplied by 100, and the country level score shown in the table is the mean of all individual records for which an index was calculated.

    Population shares are calculated as a percentage of all respondents excluding those who refused or didn’t’ know how to answer the various survey questions.
  • Security > Victimisation rates > Victimisation by type of crime > All conventional victimisation: Crime statistics shown here are based on the 2005 International Crime Victim Survey (ICVS), run by a consortium coordinated by the United Nations Interregional Criminal Justice Research Institute (UNICRI) and the United Nations Office on Drugs and Crime (UNODC). ICVS data for European countries are drawn from the European Survey on Crime and Safety, organised by a consortium led by Gallup Europe. Previous waves of this survey were conducted in 1989, 1992, 1996 and 2000, and most results can be compared across waves.
  • Freedom in decision making: Mean of self-ratings on ten-point scale - Survey in 1990s on freedom in decision making.
  • Food and drink > Big Mac nutritional values > Dietary fiber: Grams of dietary fiber in a McDonald' Big Mac in each country. Results are from the McDonald's website for each country.
  • Undesirable neighbours > Emotionally unstable people: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Confidence in social institutions > Church: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Leisure > Leisure Time > Leisure time across demographic groups > Men: The measures of the quantity of leisure time presented here are based on information drawn from national and International Time Use Surveys. Participants to these surveys fill diaries over a number of days. Information from these diaries is then aggregated into a standard activity classification, with the sum of minutes spent in various (primary) activities summing to 24 hours per day.

    Time-use data from national surveys have been re-coded by the OECD to a common classification based on the five main categories of “paid work and study”; “home production”; “personal care”; “leisure activities”; and “other activities not classified elsewhere”. Adjustments have been made to account for cross-country differences in the age of people covered by the various national surveys. Finally, to account for differences across countries in time devoted to personal care, this has been set equal to the amount devoted to this activity in the country where this is lowest (Norway); the excess of daily time that residents of some countries devote to personal care has been added to leisure.
  • Undesirable neighbours > Heavy drinkers: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Confidence in social institutions > Legal system: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Undesirable neighbours > Immigrants: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Confidence in social institutions > Press: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Undesirable neighbours > Drug addicts: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Confidence in social institutions > Armed forces: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Undesirable neighbours > People with AIDS: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Members of voluntary organisations > Charity: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
  • Food and drink > Alcohol > Consumption > 1960: Alcohol consumption - Litres per capita by population aged above 15 in 1960. Data not available for United Kingdom, South Korea or Mexico.
  • Undesirable neighbours > Criminal record holders: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Society > Suicides > Suicide rates by gender > Women: Data on suicide rates are based on official registers on causes of death based on international conventions surrounding the International Statistical Classification of Diseases and Related Health Problems (ICD). The rates shown here are standardised using the OECD population structure of 1980, so as to allow controlling for differences in the age structure of the population across countries and over time. Suicide rates are expressed as deaths per 100 000 individuals.
  • Confidence in social institutions > Parliament: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Discuss politics frequently: Proportions in 1990s surveys responding that they discuss politics frequently.
  • Political action > Attended a demonstration: Proportion of respondents in 1990s surveys who have ever attended a demonstration.
  • Undesirable neighbours > Political extremists: Percentage in 1990s surveys thinking this group were undesirable neighbours.
  • Confidence in social institutions > Legal system per million: Proportion of people in 1990s surveys expressing confidence in this social institution. Figures expressed per million population for the same year.
  • Political action > Joined a boycott: Proportion of respondents in 1990s surveys who have ever joined a boycott.
  • Food and drink > Alcohol > Consumption > 1980: Alcohol consumption - Litres per capita by population aged above 15 in 1980. Data not available for South Korea.
  • Confidence in social institutions > Civil service: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Political action > Signed a petition: Proportion of respondents in 1990s surveys who have ever signed a petition.
  • Society > Suicides > Suicides rates and subjective life-evaluations > Suicide rates: Data on suicide rates are based on official registers on causes of death based on international conventions surrounding the International Statistical Classification of Diseases and Related Health Problems (ICD). The rates shown here are standardised using the OECD population structure of 1980, so as to allow controlling for differences in the age structure of the population across countries and over time. Suicide rates are expressed as deaths per 100 000 individuals.
  • Confidence in social institutions > Trade unions: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Job priority for men during recession: Percentages in 1990s surveys agreeing with job priorities for men when jobs are scarce.
  • Food and drink > Alcohol > Consumption > 1990: Alcohol consumption - Litres per capita by population aged above 15 in 1990.
  • Confidence in social institutions > Companies: Proportion of people in 1990s surveys expressing confidence in this social institution.
  • Jobs for native citizens during recession: Percentages in 1990s surveys agreeing with job priorities for men when jobs are scarce.
  • Somewhat interested in politics: Proportions in 1990s surveys responding that they are somewhat interested in politics.
  • Members of voluntary organisations > Parties: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
  • Members of voluntary organisations > Sport: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
  • Food and drink > Alcohol > Consumption > 1970: Alcohol consumption - Litres per capita by population aged above 15 in 1970. Data not available for Greece, South Korea or Mexico.
  • Members of voluntary organisations > Education: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
  • Forced retirement during recession: Percentages in 1990s surveys agreeing with job priorities for men when jobs are scarce.
  • Food and drink > Exports > % of merchandise > Exports: Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).
  • Members of voluntary organisations > Unions: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
  • Members of voluntary organisations > Professional: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
  • Food and drink > Imports > % of merchandise imports: Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels)."
  • Food and drink > Beverages and tobacco > % of value added in manufacturing: Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Food, beverages, and tobacco comprise ISIC division 31.
  • Members of voluntary organisations > Environmental: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.
STAT Norway Sweden HISTORY
Amphetamine use 0.35%
Ranked 14th. 84% more than Sweden
0.19%
Ranked 20th.
Cannabis use 3.82%
Ranked 16th. 4 times more than Sweden
0.98%
Ranked 25th.
Food and drink > Alcohol > Consumption > Current 6 litres per capita
Ranked 28th.
7 litres per capita
Ranked 26th. 17% more than Norway
Food and drink > Beer > Consumption 56 litres
Ranked 15th. The same as Sweden
56 litres
Ranked 14th.
Food and drink > Coffee > Consumption 10.7 kgs
Ranked 1st. 37% more than Sweden
7.8 kgs
Ranked 4th.
Food and drink > Exports 6.31
Ranked 90th. 28% more than Sweden
4.94
Ranked 96th.

Food and drink > Fruit juice > Consumption 21.4 litres
Ranked 14th.
35.5 litres
Ranked 5th. 66% more than Norway
Food and drink > Soft drink > Consumption 119.8 litres
Ranked 3rd. 45% more than Sweden
82.4 litres
Ranked 10th.
Food and drink > Tea > Consumption 0.4 kgs
Ranked 9th. The same as Sweden
0.4 kgs
Ranked 8th.
Happiness level > Very happy 29%
Ranked 20th.
36%
Ranked 14th. 24% more than Norway
Happiness net 88%
Ranked 8th.
91%
Ranked 4th. 3% more than Norway
Life satisfaction 7.4
Ranked 11th.
7.5
Ranked 9th. 1% more than Norway
Quality of life index 155.44
Ranked 13th.
180.03
Ranked 4th. 16% more than Norway
Roller coasters 7
Ranked 32nd.
19
Ranked 17th. 3 times more than Norway
Society > Subjective well-being > People reporting negative experiences > Depression 7.71%
Ranked 17th. 75% more than Sweden
4.4%
Ranked 26th.
Leisure > Leisure Time > Leisure time across activities > Sports 7.65%
Ranked 7th.
8.01%
Ranked 6th. 5% more than Norway
Very proud of their nationality 48%
Ranked 7th. 12% more than Sweden
43%
Ranked 9th.
Life satisfaction inequality 2
Ranked 80th. The same as Sweden
2
Ranked 79th.
Roller coasters per million 1.5
Ranked 15th.
2.09
Ranked 9th. 39% more than Norway
Society > Volunteering and social support > Volunteering > Volunteered your time 38.93%
Ranked 3rd. 3 times more than Sweden
12.41%
Ranked 22nd.
Not proud of their nationality 14%
Ranked 6th. 8% more than Sweden
13%
Ranked 7th.
Food and drink > Bottled water > Consumption 20.9 litres
Ranked 11th. 9% more than Sweden
19.1 litres
Ranked 12th.
Food and drink > Wine > Consumption 11 litres
Ranked 14th.
16 litres
Ranked 12th. 45% more than Norway
Food and drink > Subway resturants 8
Ranked 43th.
10
Ranked 40th. 25% more than Norway
Quality of life > 2005 <a href="http://en.wikipedia.org/wiki/Quality-of-life_index">8.051</a> <a href="http://en.wikipedia.org/wiki/Quality-of-life_index">7.937</a>
Leisure > Leisure Time > Leisure time across demographic groups > Total 27.22%
Ranked 3rd. 8% more than Sweden
25.14%
Ranked 9th.
Will fight for country 90%
Ranked 2nd. The same as Sweden
90%
Ranked 1st.
Trust people 65%
Ranked 1st. 3% more than Sweden
63%
Ranked 2nd.
Food and drink > Big Mac nutritional values > Carbohydrates 41 g
Ranked 11th.
42 g
Ranked 10th. 2% more than Norway
Food and drink > Big Mac nutritional values > Fat 26 g
Ranked 8th. The same as Sweden
26 g
Ranked 22nd.
Society > Suicides > Suicide rates and per capita GDP > Suicide rate 10.5 Per 100 000 persons, 2004
Ranked 19th.
11.4 Per 100 000 persons, 2004
Ranked 14th. 9% more than Norway
Amphetamine use per million 0.0784%
Ranked 6th. 4 times more than Sweden
0.0214%
Ranked 16th.
Food and drink > Subway resturants per million 1.72
Ranked 34th. 56% more than Sweden
1.1
Ranked 40th.
Leisure > Leisure Time > Leisure time across activities > TV or radio at home 30.61%
Ranked 15th.
31.22%
Ranked 13th. 2% more than Norway
Food and drink > Total spirit > Consumption 2.4 litres
Ranked 16th.
2.9 litres
Ranked 11th. 21% more than Norway
Society > Subjective well-being > Negative experience index 19.45 2008 or latest available
Ranked 23th. 23% more than Sweden
15.84 2008 or latest available
Ranked 25th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 15-24 29.24%
Ranked 4th. 1% more than Sweden
28.96%
Ranked 5th.
Society > Subjective well-being > People reporting negative experiences > Boredom 22.18%
Ranked 11th. 17% more than Sweden
19.04%
Ranked 16th.
Food and drink > Big Mac nutritional values > Salt equivalent 2,200 mg
Ranked 14th.
2,300 mg
Ranked 12th. 5% more than Norway
Food and drink > Big Mac nutritional values > Protein 27
Ranked 6th. 4% more than Sweden
26
Ranked 30th.
Society > Subjective well-being > People reporting positive experiences > Enjoyment 88.1%
Ranked 4th. 2% more than Sweden
86.75%
Ranked 6th.
Leisure > Leisure Time > Leisure time across activities > Visiting or entertaining friends 13.78%
Ranked 6th. 85% more than Sweden
7.46%
Ranked 9th.
Financial satisfaction 6.7
Ranked 9th. 2% more than Sweden
6.6
Ranked 10th.
Undesirable neighbours > Different race 11%
Ranked 4th. 2 times more than Sweden
5%
Ranked 13th.
Society > Volunteering and social support > Social support > Helped a stranger 48.94%
Ranked 10th. 3% more than Sweden
47.61%
Ranked 12th.
Leisure > Recreation and culture > Government expenditure on recreation and culture 1.01%
Ranked 15th.
1.08%
Ranked 13th. 7% more than Norway
Undesirable neighbours > Homosexuals 18%
Ranked 13th. 20% more than Sweden
15%
Ranked 14th.
Society > Subjective well-being > People reporting negative experiences > Anger 13.42%
Ranked 20th. 8% more than Sweden
12.4%
Ranked 22nd.
Society > Volunteering and social support > Volunteering > Donated money 52.41%
Ranked 12th. The same as Sweden
52.39%
Ranked 13th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 65 and over 38.75%
Ranked 2nd. 2% more than Sweden
37.99%
Ranked 5th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 25-44 23.54%
Ranked 1st. 11% more than Sweden
21.18%
Ranked 10th.
Society > Subjective well-being > People reporting negative experiences > Worry 29.05%
Ranked 22nd. 83% more than Sweden
15.88%
Ranked 28th.
Food and drink > Big Mac nutritional values > Energy 510 kcal
Ranked 8th. 1% more than Sweden
505 kcal
Ranked 22nd.
Leisure > Leisure Time > Leisure time across demographic groups > Women 27.78%
Ranked 1st. 10% more than Sweden
25.28%
Ranked 5th.
Food and drink > Alcohol > Consumption > 2000 5.7 litres per capita
Ranked 28th.
6.2 litres per capita
Ranked 26th. 9% more than Norway
Society > Subjective well-being > People reporting negative experiences > Sadness 16.68%
Ranked 19th. 39% more than Sweden
12.03%
Ranked 27th.
Society > Subjective well-being > People reporting negative experiences > Pain 19.84%
Ranked 24th.
22.86%
Ranked 17th. 15% more than Norway
Security > Victimisation rates > Victimisation by type of crime > All conventional victimisation 15.8%
Ranked 14th.
16.1%
Ranked 13th. 2% more than Norway
Freedom in decision making 7.2
Ranked 6th.
7.4
Ranked 4th. 3% more than Norway
Food and drink > Big Mac nutritional values > Dietary fiber 3 g
Ranked 7th. The same as Sweden
3 g
Ranked 25th.
Undesirable neighbours > Emotionally unstable people 31%
Ranked 5th. 48% more than Sweden
21%
Ranked 11th.
Confidence in social institutions > Church 49%
Ranked 7th. 14% more than Sweden
43%
Ranked 12th.
Leisure > Leisure Time > Leisure time across demographic groups > Men 26.67%
Ranked 6th. 7% more than Sweden
24.86%
Ranked 12th.
Undesirable neighbours > Heavy drinkers 34%
Ranked 14th.
41%
Ranked 12th. 21% more than Norway
Confidence in social institutions > Legal system 72%
Ranked 2nd. 22% more than Sweden
59%
Ranked 7th.
Undesirable neighbours > Immigrants 14%
Ranked 4th. Twice as much as Sweden
7%
Ranked 12th.
Confidence in social institutions > Press 38%
Ranked 6th. 23% more than Sweden
31%
Ranked 11th.
Undesirable neighbours > Drug addicts 64%
Ranked 7th.
68%
Ranked 6th. 6% more than Norway
Confidence in social institutions > Armed forces 69%
Ranked 3rd. 33% more than Sweden
52%
Ranked 9th.
Undesirable neighbours > People with AIDS 21%
Ranked 9th. 62% more than Sweden
13%
Ranked 15th.
Members of voluntary organisations > Charity 7%
Ranked 4th. 40% more than Sweden
5%
Ranked 8th.
Food and drink > Alcohol > Consumption > 1960 3.4 litres per capita
Ranked 21st.
4.8 litres per capita
Ranked 19th. 41% more than Norway
Undesirable neighbours > Criminal record holders 43%
Ranked 6th. 23% more than Sweden
35%
Ranked 9th.
Society > Suicides > Suicide rates by gender > Women 5.3 Per 100 000 persons, 2004
Ranked 12th.
6 Per 100 000 persons, 2004
Ranked 10th. 13% more than Norway
Confidence in social institutions > Parliament 64%
Ranked 1st. 39% more than Sweden
46%
Ranked 6th.
Discuss politics frequently 22%
Ranked 3rd. 22% more than Sweden
18%
Ranked 6th.
Political action > Attended a demonstration 23%
Ranked 7th.
26%
Ranked 5th. 13% more than Norway
Undesirable neighbours > Political extremists 42%
Ranked 8th.
44%
Ranked 6th. 5% more than Norway
Confidence in social institutions > Legal system per million 16.98%
Ranked 1st. 2 times more than Sweden
6.89%
Ranked 7th.
Political action > Joined a boycott 15%
Ranked 5th.
25%
Ranked 1st. 67% more than Norway
Food and drink > Alcohol > Consumption > 1980 5.3 litres per capita
Ranked 26th.
6.7 litres per capita
Ranked 25th. 26% more than Norway
Confidence in social institutions > Civil service 47%
Ranked 7th. 4% more than Sweden
45%
Ranked 10th.
Political action > Signed a petition 63%
Ranked 7th.
72%
Ranked 3rd. 14% more than Norway
Society > Suicides > Suicides rates and subjective life-evaluations > Suicide rates 10.5 11.4
Confidence in social institutions > Trade unions 63%
Ranked 1st. 50% more than Sweden
42%
Ranked 5th.
Job priority for men during recession 15%
Ranked 13th. 88% more than Sweden
8%
Ranked 16th.
Food and drink > Alcohol > Consumption > 1990 5 litres per capita
Ranked 28th.
6.4 litres per capita
Ranked 26th. 28% more than Norway
Confidence in social institutions > Companies 56%
Ranked 5th.
59%
Ranked 3rd. 5% more than Norway
Jobs for native citizens during recession 50%
Ranked 13th. 67% more than Sweden
30%
Ranked 16th.
Somewhat interested in politics 70%
Ranked 2nd. 43% more than Sweden
49%
Ranked 11th.
Members of voluntary organisations > Parties 3%
Ranked 6th.
4%
Ranked 2nd. 33% more than Norway
Members of voluntary organisations > Sport 18%
Ranked 5th.
22%
Ranked 3rd. 22% more than Norway
Food and drink > Alcohol > Consumption > 1970 4.7 litres per capita
Ranked 24th.
7.2 litres per capita
Ranked 19th. 53% more than Norway
Members of voluntary organisations > Education 10%
Ranked 3rd. 25% more than Sweden
8%
Ranked 6th.
Forced retirement during recession 36%
Ranked 11th. 2 times more than Sweden
16%
Ranked 15th.
Food and drink > Exports > % of merchandise > Exports 5.22%
Ranked 82nd. 50% more than Sweden
3.47%
Ranked 91st.

Members of voluntary organisations > Unions 11%
Ranked 2nd. 10% more than Sweden
10%
Ranked 3rd.
Members of voluntary organisations > Professional 6%
Ranked 3rd. 50% more than Sweden
4%
Ranked 6th.
Food and drink > Imports > % of merchandise imports 8.43%
Ranked 92nd.
9.87%
Ranked 80th. 17% more than Norway

Food and drink > Beverages and tobacco > % of value added in manufacturing 15.15%
Ranked 53th. 47% more than Sweden
10.3%
Ranked 63th.

Members of voluntary organisations > Environmental 1%
Ranked 13th.
2%
Ranked 5th. Twice as much as Norway

SOURCES: OECD; OECD Health Data 2005; Global Market Information Database, published by Euromonitor; World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.; World Values Survey 2005; World Database of Happiness, Happiness in Nations, Rank Report 2004/1  Average happiness in 90 nations 1990-2000; quality of life; The Roller Coaster Database, 2006.; OECD Country statistical profiles 2009; World Values Survey; World Database of Happiness, Happiness in Nations, Rank Report 2004/3b. Equality of  happiness in 90 nations 1990-2000. How much citizens differ in enjoyment of their life as a whole; The Roller Coaster Database, 2006. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Subway, 2006.; Economist Intelligence Unitƒ??s The Quality-of-Life calculated in 2005); Wikipedia>Big Mac; Wikipedia>Big Mac ; OECD. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Subway, 2006. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Wikipedia> Big Mac; World Values Survey. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; World Development Indicators database

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