×

Lifestyle Stats: compare key data on Mexico & Norway

Compare vs for  

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 > Subway resturants: Number of Subway resturants by country
  • 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.
  • 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.
  • 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 > 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.
  • 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.
  • 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.
  • 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.   

  • 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.
  • 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.
  • 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 > 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.
  • 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 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.
  • 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.
  • 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.
  • 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 > 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 > 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.
  • 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)."
STAT Mexico Norway HISTORY
Amphetamine use 0.06%
Ranked 24th.
0.35%
Ranked 14th. 6 times more than Mexico
Cannabis use 1.13%
Ranked 24th.
3.82%
Ranked 16th. 3 times more than Mexico
Food and drink > Alcohol > Consumption > Current 4.6 litres per capita
Ranked 29th.
6 litres per capita
Ranked 28th. 30% more than Mexico
Food and drink > Exports 6.99
Ranked 88th. 11% more than Norway
6.31
Ranked 90th.

Food and drink > Subway resturants 262
Ranked 6th. 33 times more than Norway
8
Ranked 43th.
Happiness level > Very happy 31%
Ranked 17th. 7% more than Norway
29%
Ranked 20th.
Happiness net 48%
Ranked 30th.
88%
Ranked 8th. 83% more than Mexico
Leisure > Leisure Time > Leisure time across activities > Sports 4.51%
Ranked 16th.
7.65%
Ranked 7th. 70% more than Mexico
Leisure > Leisure Time > Leisure time across demographic groups > Total 16.37%
Ranked 18th.
27.22%
Ranked 3rd. 66% more than Mexico
Life satisfaction inequality 2.5
Ranked 48th. 25% more than Norway
2
Ranked 80th.
Quality of life index 80.56
Ranked 42nd.
155.44
Ranked 13th. 93% more than Mexico
Roller coasters 22
Ranked 15th. 3 times more than Norway
7
Ranked 32nd.
Roller coasters per million 0.196
Ranked 50th.
1.5
Ranked 15th. 8 times more than Mexico
Society > Subjective well-being > People reporting negative experiences > Depression 12.44%
Ranked 8th. 61% more than Norway
7.71%
Ranked 17th.
Society > Volunteering and social support > Volunteering > Volunteered your time 10.28%
Ranked 25th.
38.93%
Ranked 3rd. 4 times more than Mexico
Food and drink > Big Mac nutritional values > Carbohydrates 45 g
Ranked 5th. 10% more than Norway
41 g
Ranked 11th.
Food and drink > Big Mac nutritional values > Fat 26 g
Ranked 15th. The same as Norway
26 g
Ranked 8th.
Society > Suicides > Suicide rates and per capita GDP > Suicide rate 3.8 Per 100 000 persons, 2004
Ranked 28th.
10.5 Per 100 000 persons, 2004
Ranked 19th. 3 times more than Mexico
Amphetamine use per million 0.000586%
Ranked 26th.
0.0784%
Ranked 6th. 134 times more than Mexico
Food and drink > Subway resturants per million 2.34
Ranked 31st. 36% more than Norway
1.72
Ranked 34th.
Leisure > Leisure Time > Leisure time across activities > TV or radio at home 48.27%
Ranked 1st. 58% more than Norway
30.61%
Ranked 15th.
Society > Subjective well-being > Negative experience index 20.82 2008 or latest available
Ranked 21st. 7% more than Norway
19.45 2008 or latest available
Ranked 23th.
Society > Subjective well-being > People reporting negative experiences > Boredom 30.82%
Ranked 2nd. 39% more than Norway
22.18%
Ranked 11th.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 15-24 18.32%
Ranked 17th.
29.24%
Ranked 4th. 60% more than Mexico
Food and drink > Big Mac nutritional values > Salt equivalent 2,228 mg
Ranked 13th. 1% more than Norway
2,200 mg
Ranked 14th.
Leisure > Leisure Time > Leisure time across activities > Visiting or entertaining friends 10.05%
Ranked 7th.
13.78%
Ranked 6th. 37% more than Mexico
Society > Subjective well-being > People reporting positive experiences > Enjoyment 82.67%
Ranked 12th.
88.1%
Ranked 4th. 7% more than Mexico
Food and drink > Big Mac nutritional values > Protein 22
Ranked 39th.
27
Ranked 6th. 23% more than Mexico
Society > Volunteering and social support > Social support > Helped a stranger 41.35%
Ranked 18th.
48.94%
Ranked 10th. 18% more than Mexico
Society > Subjective well-being > People reporting negative experiences > Anger 8.82%
Ranked 27th.
13.42%
Ranked 20th. 52% more than Mexico
Society > Volunteering and social support > Volunteering > Donated money 20.17%
Ranked 24th.
52.41%
Ranked 12th. 3 times more than Mexico
Society > Subjective well-being > People reporting negative experiences > Worry 32.26%
Ranked 14th. 11% more than Norway
29.05%
Ranked 22nd.
Leisure > Leisure Time > Leisure time across demographic groups > Ages 65 and over 25.22%
Ranked 17th.
38.75%
Ranked 2nd. 54% more than Mexico
Leisure > Leisure Time > Leisure time across demographic groups > Ages 25-44 11.33%
Ranked 17th.
23.54%
Ranked 1st. 2 times more than Mexico
Food and drink > Big Mac nutritional values > Energy 486 kcal
Ranked 35th.
510 kcal
Ranked 8th. 5% more than Mexico
Leisure > Leisure Time > Leisure time across demographic groups > Women 13.84%
Ranked 18th.
27.78%
Ranked 1st. Twice as much as Mexico
Food and drink > Alcohol > Consumption > 2000 4.8 litres per capita
Ranked 29th.
5.7 litres per capita
Ranked 28th. 19% more than Mexico
Society > Subjective well-being > People reporting negative experiences > Sadness 19.36%
Ranked 11th. 16% more than Norway
16.68%
Ranked 19th.
Society > Subjective well-being > People reporting negative experiences > Pain 26.34%
Ranked 6th. 33% more than Norway
19.84%
Ranked 24th.
Security > Victimisation rates > Victimisation by type of crime > All conventional victimisation 18.7%
Ranked 7th. 18% more than Norway
15.8%
Ranked 14th.
Food and drink > Big Mac nutritional values > Dietary fiber 3 g
Ranked 16th. The same as Norway
3 g
Ranked 7th.
Leisure > Leisure Time > Leisure time across demographic groups > Men 19.4%
Ranked 18th.
26.67%
Ranked 6th. 37% more than Mexico
Society > Suicides > Suicide rates by gender > Women 1 Per 100 000 persons, 2004
Ranked 29th.
5.3 Per 100 000 persons, 2004
Ranked 12th. 5 times more than Mexico
Food and drink > Alcohol > Consumption > 1980 3.4 litres per capita
Ranked 28th.
5.3 litres per capita
Ranked 26th. 56% more than Mexico
Society > Suicides > Suicides rates and subjective life-evaluations > Suicide rates 3.8 10.5
Food and drink > Alcohol > Consumption > 1990 4.9 litres per capita
Ranked 29th.
5 litres per capita
Ranked 28th. 2% more than Mexico
Food and drink > Exports > % of merchandise > Exports 5.37%
Ranked 81st. 3% more than Norway
5.22%
Ranked 82nd.

Food and drink > Beverages and tobacco > % of value added in manufacturing 25.36%
Ranked 36th. 67% more than Norway
15.15%
Ranked 53th.

Food and drink > Imports > % of merchandise imports 7.35%
Ranked 100th.
8.43%
Ranked 92nd. 15% more than Mexico

SOURCES: OECD; OECD Health Data 2005; World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.; Subway, 2006.; World Values Survey 2005; OECD Country statistical profiles 2009; 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.; 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

Citation

Adblocker detected! Please consider reading this notice.

We've detected that you are using AdBlock Plus or some other adblocking software which is preventing the page from fully loading.

We don't have any banner, Flash, animation, obnoxious sound, or popup ad. We do not implement these annoying types of ads!

We need money to operate the site, and almost all of it comes from our online advertising.

Please add www.nationmaster.com to your ad blocking whitelist or disable your adblocking software.

×