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Lifestyle Stats: compare key data on Poland & 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 > 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 > Pork > Consumption per capita: Measures taken in 1997 and based on carcass weight. Selected Nations only.
  • 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".
  • 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.
  • 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.
  • 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".
  • 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.
  • 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 > 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.
  • 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.
  • 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.
  • 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.
  • 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.   

  • Society > Subjective well-being > Positive 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 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 > 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Food and drink > Alcohol > Consumption > 1980: Alcohol consumption - Litres per capita by population aged above 15 in 1980. Data not available for South Korea.
  • 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.
  • Food and drink > Alcohol > Consumption > 1990: Alcohol consumption - Litres per capita by population aged above 15 in 1990.
  • 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.
  • 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).
  • 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.
STAT Poland Sweden HISTORY
Amphetamine use 0.3%
Ranked 17th. 58% more than Sweden
0.19%
Ranked 20th.
Cannabis use 3.38%
Ranked 19th. 3 times more than Sweden
0.98%
Ranked 25th.
Food and drink > Alcohol > Consumption > Current 8.1 litres per capita
Ranked 21st. 16% more than Sweden
7 litres per capita
Ranked 26th.
Food and drink > Exports 9.47
Ranked 88th. 92% more than Sweden
4.94
Ranked 96th.

Food and drink > Pork > Consumption per capita 83.2
Ranked 6th. 5% more than Sweden
79.4
Ranked 7th.
Happiness level > Very happy 14%
Ranked 32nd.
36%
Ranked 14th. 3 times more than Poland
Happiness net 74%
Ranked 18th.
91%
Ranked 4th. 23% more than Poland
Leisure > Leisure Time > Leisure time across activities > Sports 5.9%
Ranked 12th.
8.01%
Ranked 6th. 36% more than Poland
Life satisfaction 5.9
Ranked 38th.
7.5
Ranked 9th. 27% more than Poland
Life satisfaction inequality 2.8
Ranked 11th. 40% more than Sweden
2
Ranked 79th.
Quality of life index 97
Ranked 35th.
180.03
Ranked 4th. 86% more than Poland
Roller coasters 4
Ranked 40th.
19
Ranked 17th. 5 times more than Poland
Roller coasters per million 0.105
Ranked 60th.
2.09
Ranked 9th. 20 times more than Poland
Society > Subjective well-being > People reporting negative experiences > Depression 5.95%
Ranked 22nd. 35% more than Sweden
4.4%
Ranked 26th.
Society > Volunteering and social support > Volunteering > Volunteered your time 10.37%
Ranked 24th.
12.41%
Ranked 22nd. 20% more than Poland
Food and drink > Subway resturants 3
Ranked 59th.
10
Ranked 40th. 3 times more than Poland
Quality of life > 2005 <a href="http://en.wikipedia.org/wiki/Quality-of-life_index">6.309</a> <a href="http://en.wikipedia.org/wiki/Quality-of-life_index">7.937</a>
Leisure > Leisure Time > Leisure time across demographic groups > Total 24.72%
Ranked 11th.
25.14%
Ranked 9th. 2% more than Poland
Food and drink > Big Mac nutritional values > Carbohydrates 41 g
Ranked 13th.
42 g
Ranked 10th. 2% more than Poland
Food and drink > Big Mac nutritional values > Fat 26 g
Ranked 10th. The same as Sweden
26 g
Ranked 22nd.
Society > Suicides > Suicide rates and per capita GDP > Suicide rate 13.6 Per 100 000 persons, 2004
Ranked 9th. 19% more than Sweden
11.4 Per 100 000 persons, 2004
Ranked 14th.
Amphetamine use per million 0.00776%
Ranked 19th.
0.0214%
Ranked 16th. 3 times more than Poland
Food and drink > Subway resturants per million 0.0787
Ranked 69th.
1.1
Ranked 40th. 14 times more than Poland
Leisure > Leisure Time > Leisure time across activities > TV or radio at home 41.01%
Ranked 5th. 31% more than Sweden
31.22%
Ranked 13th.
Society > Subjective well-being > Negative experience index 65.9 2008 or latest available
Ranked 5th. 4 times more than Sweden
15.84 2008 or latest available
Ranked 25th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 15-24 27.99%
Ranked 9th.
28.96%
Ranked 5th. 3% more than Poland
Society > Subjective well-being > People reporting negative experiences > Boredom 22.28%
Ranked 10th. 17% more than Sweden
19.04%
Ranked 16th.
Food and drink > Big Mac nutritional values > Salt equivalent 2,200 mg
Ranked 16th.
2,300 mg
Ranked 12th. 5% more than Poland
Society > Subjective well-being > Positive experience index 19.07 2008 or latest available
Ranked 22nd.
76.35 2008 or latest available
Ranked 7th. 4 times more than Poland
Leisure > Leisure Time > Leisure time across activities > Visiting or entertaining friends 6.46%
Ranked 12th.
7.46%
Ranked 9th. 15% more than Poland
Food and drink > Big Mac nutritional values > Protein 27
Ranked 8th. 4% more than Sweden
26
Ranked 30th.
Society > Subjective well-being > People reporting positive experiences > Enjoyment 76.76%
Ranked 19th.
86.75%
Ranked 6th. 13% more than Poland
Society > Volunteering and social support > Social support > Helped a stranger 36.52%
Ranked 23th.
47.61%
Ranked 12th. 30% more than Poland
Leisure > Recreation and culture > Government expenditure on recreation and culture 1.14%
Ranked 10th. 6% more than Sweden
1.08%
Ranked 13th.
Society > Subjective well-being > People reporting negative experiences > Anger 22.97%
Ranked 5th. 85% more than Sweden
12.4%
Ranked 22nd.
Society > Volunteering and social support > Volunteering > Donated money 29.32%
Ranked 21st.
52.39%
Ranked 13th. 79% more than Poland
Society > Subjective well-being > People reporting negative experiences > Worry 28.62%
Ranked 23th. 80% more than Sweden
15.88%
Ranked 28th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 25-44 21.74%
Ranked 6th. 3% more than Sweden
21.18%
Ranked 10th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 65 and over 38.75%
Ranked 3rd. 2% more than Sweden
37.99%
Ranked 5th.
Food and drink > Big Mac nutritional values > Energy 510 kcal
Ranked 11th. 1% more than Sweden
505 kcal
Ranked 22nd.
Leisure > Leisure Time > Leisure time across demographic groups > Women 23.89%
Ranked 11th.
25.28%
Ranked 5th. 6% more than Poland
Food and drink > Alcohol > Consumption > 2000 8.3 litres per capita
Ranked 22nd. 34% more than Sweden
6.2 litres per capita
Ranked 26th.
Society > Subjective well-being > People reporting negative experiences > Pain 16.21%
Ranked 27th.
22.86%
Ranked 17th. 41% more than Poland
Society > Subjective well-being > People reporting negative experiences > Sadness 19.59%
Ranked 10th. 63% more than Sweden
12.03%
Ranked 27th.
Security > Victimisation rates > Victimisation by type of crime > All conventional victimisation 15%
Ranked 15th.
16.1%
Ranked 13th. 7% more than Poland
Food and drink > Big Mac nutritional values > Dietary fiber 3 g
Ranked 9th. The same as Sweden
3 g
Ranked 25th.
Leisure > Leisure Time > Leisure time across demographic groups > Men 28.19%
Ranked 3rd. 13% more than Sweden
24.86%
Ranked 12th.
Food and drink > Alcohol > Consumption > 1960 6.3 litres per capita
Ranked 14th. 31% more than Sweden
4.8 litres per capita
Ranked 19th.
Society > Suicides > Suicide rates by gender > Women 3.9 Per 100 000 persons, 2004
Ranked 21st.
6 Per 100 000 persons, 2004
Ranked 10th. 54% more than Poland
Food and drink > Alcohol > Consumption > 1980 8.7 litres per capita
Ranked 22nd. 30% more than Sweden
6.7 litres per capita
Ranked 25th.
Society > Suicides > Suicides rates and subjective life-evaluations > Suicide rates 13.6 11.4
Food and drink > Alcohol > Consumption > 1990 8.3 litres per capita
Ranked 23th. 30% more than Sweden
6.4 litres per capita
Ranked 26th.
Food and drink > Alcohol > Consumption > 1970 8 litres per capita
Ranked 17th. 11% more than Sweden
7.2 litres per capita
Ranked 19th.
Food and drink > Exports > % of merchandise > Exports 9.4%
Ranked 62nd. 3 times more than Sweden
3.47%
Ranked 91st.

Food and drink > Imports > % of merchandise imports 6.62%
Ranked 120th.
9.87%
Ranked 80th. 49% more than Poland

Food and drink > Beverages and tobacco > % of value added in manufacturing 20.28%
Ranked 42nd. 97% more than Sweden
10.3%
Ranked 63th.

SOURCES: OECD; OECD Health Data 2005; World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.; USDA Census of Agriculture; World Values Survey 2005; OECD Country statistical profiles 2009; World Database of Happiness, Happiness in Nations, Rank Report 2004/1  Average happiness in 90 nations 1990-2000; 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; quality of life; The Roller Coaster Database, 2006.; 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 Development Indicators database

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