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Mexico

Mexico Lifestyle Stats

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.
  • 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.
  • 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 > 1980: Alcohol consumption - Litres per capita by population aged above 15 in 1980. Data not available for South Korea.
  • Food and drink > Alcohol > Consumption > 1990: Alcohol consumption - Litres per capita by population aged above 15 in 1990.
  • Food and drink > Alcohol > Consumption > 2000: Alcohol consumption - Litres per capita by population aged above 15 in 2000.
  • Food and drink > Alcohol > Consumption > Current: Alcohol consumption - Litres per capita by population aged above 15. (Data for 2003).
  • 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 > Dietary fiber: Grams of dietary fiber in a McDonald' Big Mac in each country. Results are from the McDonald's website for each country.
  • 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.
  • 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.

  • 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.
  • Food and drink > Big Mac nutritional values > Salt equivalent:

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

  • Food and drink > 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.
  • Food and drink > Subway resturants: Number of Subway resturants by country
  • Food and drink > Subway resturants per million: Number of Subway resturants by country. Figures expressed per million population for the same year.
  • 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 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 > 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 > 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.
  • 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 > 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.
  • 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.
  • 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 > 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.
  • 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.
  • 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.
  • 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.
  • 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 > 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 > 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.
STAT AMOUNT DATE RANK HISTORY
Amphetamine use 0.06% 1999 24th out of 26
Amphetamine use per million 0.000586% 1999 26th out of 26
Cannabis use 1.13% 1999 24th out of 26
Food and drink > Alcohol > Consumption > 1980 3.4 litres per capita 1980 28th out of 29
Food and drink > Alcohol > Consumption > 1990 4.9 litres per capita 1990 29th out of 30
Food and drink > Alcohol > Consumption > 2000 4.8 litres per capita 2000 29th out of 30
Food and drink > Alcohol > Consumption > Current 4.6 litres per capita 2003 29th out of 30
Food and drink > Big Mac nutritional values > Carbohydrates 45 g 2012 5th out of 37
Food and drink > Big Mac nutritional values > Dietary fiber 3 g 2012 16th out of 26
Food and drink > Big Mac nutritional values > Energy 486 kcal 2012 35th out of 39
Food and drink > Big Mac nutritional values > Fat 26 g 2012 15th out of 38
Food and drink > Big Mac nutritional values > Protein 22 2012 39th out of 39
Food and drink > Big Mac nutritional values > Salt equivalent 2,228 mg 2012 13th out of 35
Food and drink > Exports 6.99 2009 88th out of 116
Food and drink > Pork > Consumption per capita 22.4 1997 17th out of 18
Food and drink > Subway resturants 262 2006 6th out of 82
Food and drink > Subway resturants per million 2.34 2006 31st out of 77
Happiness level > Very happy 31% 2005 17th out of 50
Happiness net 48% 2005 30th out of 50
Leisure > Leisure Time > Leisure time across activities > Sports 4.51% 2009 16th out of 18
Leisure > Leisure Time > Leisure time across activities > TV or radio at home 48.27% 2009 1st out of 18
Leisure > Leisure Time > Leisure time across activities > Visiting or entertaining friends 10.05% 2009 7th out of 18
Leisure > Leisure Time > Leisure time across demographic groups > Ages 15-24 18.32% 2009 17th out of 17
Leisure > Leisure Time > Leisure time across demographic groups > Ages 25-44 11.33% 2009 17th out of 17
Leisure > Leisure Time > Leisure time across demographic groups > Ages 65 and over 25.22% 2009 17th out of 17
Leisure > Leisure Time > Leisure time across demographic groups > Men 19.4% 2009 18th out of 18
Leisure > Leisure Time > Leisure time across demographic groups > Total 16.37% 2009 18th out of 18
Leisure > Leisure Time > Leisure time across demographic groups > Women 13.84% 2009 18th out of 18
Life satisfaction inequality 2.5 2004 48th out of 87
Quality of life index 80.56 2014 42nd out of 69
Roller coasters 22 2006 15th out of 75
Roller coasters per million 0.196 2006 50th out of 74
Security > Victimisation rates > Victimisation by type of crime > All conventional victimisation 18.7% 2005 7th out of 26
Society > Subjective well-being > Negative experience index 20.82 2008 or latest available 2009 21st out of 28
Society > Subjective well-being > People reporting negative experiences > Anger 8.82% 2009 27th out of 28
Society > Subjective well-being > People reporting negative experiences > Boredom 30.82% 2009 2nd out of 28
Society > Subjective well-being > People reporting negative experiences > Depression 12.44% 2009 8th out of 28
Society > Subjective well-being > People reporting negative experiences > Pain 26.34% 2009 6th out of 28
Society > Subjective well-being > People reporting negative experiences > Sadness 19.36% 2009 11th out of 28
Society > Subjective well-being > People reporting negative experiences > Worry 32.26% 2009 14th out of 28
Society > Subjective well-being > People reporting positive experiences > Enjoyment 82.67% 2009 12th out of 28
Society > Subjective well-being > Positive experience index 79.56 2008 or latest available 2009 2nd out of 24
Society > Suicides > Suicide rates and per capita GDP > Suicide rate 3.8 Per 100 000 persons, 2004 1980 28th out of 29
Society > Suicides > Suicide rates by gender > Women 1 Per 100 000 persons, 2004 1980 29th out of 29
Society > Suicides > Suicides rates and subjective life-evaluations > Suicide rates 3.8 1980
Society > Volunteering and social support > Social support > Helped a stranger 41.35% 2004 18th out of 28
Society > Volunteering and social support > Volunteering > Donated money 20.17% 2004 24th out of 28
Society > Volunteering and social support > Volunteering > Volunteered your time 10.28% 2004 25th out of 28

SOURCES: OECD; 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.; OECD Health Data 2005; Wikipedia>Big Mac; Wikipedia> Big Mac; Wikipedia>Big Mac ; World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.; USDA Census of Agriculture; Subway, 2006.; 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.; 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.

Citation

Mexico Lifestyle Profiles (Subcategories)

Food and drink 17 Society 15
Leisure 9

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