World of Tobacco
by Léo Lucas
Final Major Project brief’s starting questions
be viewing this work?
Q1.
A5. By showing multiple, variable and informational pieces. Each piece review different information, forming a pack of knowledge on a certain subject.
Which format really excites you?
A1. Books, 3D printed matter and maps (specially as scrolls – wide format). Q2.
How can you be innovative with this format?
A2. Mixing them all and seal it into a box. In one way or another I believe that somehow the formats given to this project (poster, books, screen based, maps, font, printed matter or magazines) will overlap each other, forming one multi-informational outcome. Q3. Who has done interesting work with the format before? A3. Books. Stefan Sagmeister, Things I have learned in my life so far. The randomness in which any of the sixteen books can be chosen, read and confined into a box, is part of the interaction factor I want to achieve for this project. 3D printed matter. Fortunately, cigarette packs is the most successful package ever. Maps. Simon Patterson, The great bear, JP233 in CSO Blue, Rhodes Reason and Untlitled:24hrs. Creativity is highly used in his work. To be able to take a set of information and translate it into an organised and yet not very clear set of visual interpretation shows a great imagination. Scrolls. Ancient civilization. The way it review itself has some very special characteristics. The mystery is the key, as well as the fragility of it. Q4. What process and techniques can you explore and investigates? A4. Translation of information. The ancient papyrus and its fragility. Q5. How can you engage and excite the people who will
For more information about my early map research, please visit http://maphernalia.tumblr.com
But, why tobacco? Well, curiosity mainly. Information secondly. And as an ex-smoker, many questions about tobacco came to mind. But, I had chosen tobacco because I was in the painful process of quitting smoking during the research for this project and cigarettes was the only thing in my mind at that time. When someone is confronted with any question about tobacco, many protest and condemn its consumption, highlighting the health risks related to it. Undeniable agreed. But diversion of opinion emerge when other questions about tobacco was posed. For example: Where does tobacco come from? By any mean this question is put into context to challenge the scientific facts related to smoking, but to highlight a more geographically and directed question to the audience. Any other question about tobacco would make an interesting map and yet challenge my personal knowledge about the subject. For example:
What is tobacco? When mass tobacco consumption started? Why tobacco come here? How many types of tobacco exist? Who brought tobacco here?
Modern manufactured mix blended tobacco – or cigarettes, as it is widely known – in my view it is one of the worse drugs around because it is legal, harmful, cheap, found in any corner (shop) and highly addictive. Using facts and research as reference, I decided to make a series of twenty scrolls/maps with informational purpose inside a protective box in order to represent it all in a bigger scale (book size). Rolled information about tobacco into a cigarette box, may be considered as cliché, but this giant pack of
information could be down scaled making it possible to be distributed or sold by cigarette machines instead bookstores. Furthermore, it could be disseminated by any corner shop or tobacco seller in the U.K. Tobacco is a product that has innumerous lovers, haters and uninformed individuals around the globe. I want to structure this project with no intention to ask people to stop smoking, neither asking people to smoke more than usual. Instead it will be designed to give interesting visual information (with no chocking images) about the history, production, trades, and other curiosities about a product that have been around much longer than the alphabet itself. Tobacco is a very polemic product, which lost its original and pure properties long time before consumption, giving away to many man made chemicals. But the cigarette box is the most successful pack designed ever, so I will build one in bigger scale, perphaps more like a book with twenty individually, illustrative and informative loose pages confined into it. Tobacco Leaf
InfoArcadia (below) was an exhibition about data, information and the manner in which they are visualised. Information graphics, instruction manuals, information landscapes, data cluster are included, but so too are more personal ideas - like mapping one’s life by making events on food tin lids. The Dutch design company Lust was asked to make a piece to interpret the data Paul Slovic gathered through surveys on people’s perception of risk in 1988. Lust selected 81 of more than 40K answers. The commissioner wanted a visualisation of three results of the research - factors such as ‘controllable vs. uncontrollable’ and ‘known risk vs. unknown risk’; the desire of people for strict regulation of certain risks; and the importance of certain risks as signals to society. End result: carpet of 3 by 3 metres.
“The world is complex, dynamic, multidimensional; the paper is static and flat. How to represent the rich visual world of experience and measurement on mere flatland?” – Edward R. Tufte (1990), Envisioning Information. Perhaps, interaction was not highly relevant at the time he wrote it, but surely at the moment it plays a vital role in any product success. The challenge of visually representing any subject on paper has been around since paper itself, but fortunately, the principles of information design are universal, much like mathematics, and are not tied to unique features of a particular language or culture. As the interest about tobacco history and its effects on the human body took over this project initial research, which was meant to be a set of maximum twenty maps on how tobacco evolved during five hundred years of its trade to European society and the world. Even a title was already set, Tobacco: an encyclopedic atlas. But instead, in the attempt to escape the “flatland”, a book has been chosen as the final format for this particular project. Intentions within this project is to challenge book format, perhaps questioning books structure, navigation system and interactivity, producing something not very conventional.
Nevertheless, the most similar format taken into account is the Hebrew Sefer Torah scrolls. The greatest usage of scrolls today is in Jewish religious observance at least every week in each Bet Knesset (Synagogue) or Bet Midrash (house of learning).
In the BBC4 documentary Maps: Power, Plunder and Possession shown on 18th April 2010, a very long old map sparkled the idea of make a book consisted of several rolled wide maps started to flourish, leading me to consider how scrolls were used and made by ancient civilizations. For long time I was undecided between maps, books, 3D printed matter and scroll. So, I decided to mix it all and, roll 20 individual pages and put it all into a box.
Q. How many books (or atlas) have you see with individual pages of information rolled like a scroll and sealed in a box? A.
Zero, nil, none.
Sifrei Torah, Book(s) of Torah or Torah Scroll(s) are only opened during actual reading, and covered with bein gavras, the flat, embroidered cover placed over the Torah between Aliyot (those called to the seven Torah readings). There is a sense of fragility and preciousness about them, but they still are not sealed in a box.
Time/time line related maps:
Scroll
Papyrus
Visual dictionary (ephemera)
S. Sagmeinster: Made you look, time line
Borders, political divisions of the modern world, nautical routes and older civilizations was my starting point to know more about tobacco trade.
World mortality rates (right and below)
Prototype 1 After read two books about tobacco history and many others about maps, cartography and drawing, I used a Brazilian cigarette box (Carlton) to simulate the overall feeling of what I was trying to achieve. At this stage the idea was vaguely to have a world map horizontally divided into three parts. Something like a puzzle and the viewer would be in charge to put the information together. The feedback had the following comments: Effective idea. Effective information. Think about material. Continue research and/or reference. Revealing is sexy. Where your data comes from. Think about scale. Be more playful. Think about content. Think how to roll it back.
Survey.
hrs 24Tobacco
odour exposure tracker
In the attempt to use the dots only to create an alternative map, interviewees were asked to completed the 24hs Tobacco odour exposure tracker survey and graph. As a creator of this apparently complex graph, I had no trouble filling it up, the instructions are clear but the mixing feeling response forced me to put it aside and concentrate mainly on informational factors about tobacco. Fifty-two graphs were completed and the feedback for them were: I did not get it.
1.}
do you smoke ? no
Test and track your tobacco odour perception in the last 24 hrs.
2.}
yes
how many smokers do you know?
0 - 1 - 2 - 5 -10 15 20 30+
no odour 4.}
0 1 2 3 4 5 8 10+
5.} how many non-smokers do you know? 0 - 1 - 2 - 5 -10 15 20 30+
-24 hrs
hrs 24Tobacco
do you smoke ?
Test and track your tobacco odour perception in the last 24 hrs.
2.}
Suggest start point. 3.}
voluntary tobacco consumption
yesterday
1.}
Please, mark minimum 3 dots inside the time/line above, accordingly to your tobacco odour perception. 1. place ‘dot 1’ in the ‘yesterday(-24hrs)’ area in relation to your odour perception of tobacco products. 2. add ‘dot 2’ around ‘now(24hrs)’ area in relation to your odour perception of tobacco products 3. mark more dots indicating your voluntary/involuntary tobacco odour perception on the graph. Note: if no tobacco odour perception, please mark inside tobacco free zone and line.
now 2.}
yes
3.}
how many smokers do you know?
voluntary tobacco consumption
yesterday
now
yes
how many smokers do you know?
0 - 1 - 2 - 5 -10 15 20 30+
no odour
0
no odour 4.}
tobacco odour detection in the last 24 hrs 0 1 2 3 4 5 8 10+
0
tobacco odour detection in the last 24 hrs 0 1 2 3 4 5 8 10+
E.g. of nonsmoker and no tobacco odour perception graph keys response 5.} how many non-smokers do you know?
0 - 1 - 2 - 5 -10 15 20 30+
0 - 1 - 2 - 5 -10 15 20 30+
-24 hrs
graph keys
Please, mark minimum 3 dots inside the time/line above, accordingly to your tobacco odour perception. 1. place ‘dot 1’ in the ‘yesterday(-24hrs)’ area in relation to your odour perception of tobacco products. 2. add ‘dot 2’ around ‘now(24hrs)’ area in relation to your odour perception of tobacco products 3. mark more dots indicating your voluntary/involuntary tobacco odour perception on the graph. Note: if no tobacco odour perception, please mark inside tobacco free zone and line.
are you a smoker? no
0 - 1 - 2 - 5 -10 15 20 30+
4.}
yes
Test and track your tobacco odour perception in the last 24 hrs.
5.} how many non-smokers do you know?
So, I gave up on it
hrs 24Tobacco
do you smoke ? no
are you a smoker? no
mark with dots accordingly
odour exposure tracker
yes
Clarity on what to do.
cigarrette odour = involuntary
odour detected by you =
odour exposure tracker
1.}
today
involuntary tobacco consumption
tobacco odour free zone
graph keys
no
I don’t smoke, so where should I start it from?
0
tobacco odour detection in the last 24 hrs
I am lost, help!
What is it for.
now
are you a smoker? no
3.}
voluntary tobacco consumption
yesterday
Where is the starting point?
Improve the layout
Please, mark minimum 3 dots inside the time/line above, accordingly to your tobacco odour perception. 1. place ‘dot 1’ in the ‘yesterday(-24hrs)’ area in relation to your odour perception of tobacco products. 2. add ‘dot 2’ around ‘now(24hrs)’ area in relation to your odour perception of tobacco products 3. mark more dots indicating your voluntary/involuntary tobacco odour perception on the graph. Note: if no tobacco odour perception, please mark inside tobacco free zone and line.
yes
involuntary tobacco consumption
tobacco odour free zone
odour detected by you =
today cigarrette odour = involuntary mark with dots accordingly
-24 hrs
involuntary tobacco consumption
tobacco odour free zone
odour detected by you =
today cigarrette odour = involuntary mark with dots accordingly
E.g. of smoker response
Visual dictionary (ephemera)
Souza Cruz – Brazilian top tobacco exporter – Tobacco production area Map of Respiratory Diseases/ Conditions & eftects in the human lungs’ Communication*.
Upper respiratory tract diseases
COPD refers to chronic bronchitis and emphysema, a pair of two commonly coexisting diseases of the lungs in which the airways become narrowed. This leads to a limitation of the flow of air to and from the lungs causing shortness of breath.
Pulmonary classification > description > diseases
(COPD) Chronic obstructive pulmonary disease
microbes
Cough is a sudden and often repetitively occurring reflex which helps to clear the large breathing passages from secretions, irritants, foreign particles and microbes.
pneumonia
Pneumonia is a inflammatory condition of the lung. It is often characterized as including inflammation of the parenchyma of the lung and abnormal alveolar filling with fluid.
tuberculosis
Obstructive Conditions
Asbestosis is a chronic inflammatory and fibrotic medical condition affecting the parenchymal tissue of the lungs caused by the inhalation and retention of asbestos fibers.
asbestosis
ronchitis is inflammation of the mucous membranes of the bronchi, the airways that carry airflow from the trachea into the lungs.
Asthma is a common chronic inflammatory disease of the airways characterized by variable and recurring symptoms, airflow obstruction, and bronchospasm.
Emphysema is a long-term, progressive disease of the lung that primarily causes shortness of breath. In people with emphysema, the lung tissues necessary to support the physical shape and function of the lung are destroyed.
Bronchiectasis is associated with a wide range of disorders, but it usually results from necrotizing bacterial infections. (caused by the Staphylococcus or Klebsiella species or Bordetella pertussis.) Involved bronchi are dilated, inflamed, and easily collapsible, resulting in airflow obstruction and impaired clearance of secretions.
bronchiectasis
bronchitis
Infectious, Environmental and other Diseases
Tuberculosis or TB is a common and often deadly infectious disease caused by various strains of mycobacteria. It is spread through the air, when people who have the disease cough, sneeze, or spit.
asthma
Segments of Bronchial Tree emphysema
mucus
In the respiratory system mucus aids in the protection of the lungs by trapping foreign particles that enter it, particularly through the nose, during normal breathing.
*
Communication is a medical phrase indicating that it is not connected to the standard bronchial airways and that it performs no function in respiration.
Cleanse & Defense
pulmonary Pulmonary hemorrhage is an hemorrhage acute bleeding from the lung. Coughing is of major importance, as it is the body’s main method to remove dust,mucus, saliva, and other debris from the lungs. Inability to cough can lead to infection.
Restrictive Conditions
An alveolus is an anatomical structure that has the form of a hollow cavity. Found in the lung, the pulmonary alveoli are spherical outcroppings of the respiratory sites of gas exchange with the blood.
pulmonary edema coughing pulmonary sequestration alveolar damage
fibrosis
Pleural effusion is excess fluid that accumulates in the pleural cavity, the fluid-filled space that surrounds the lungs. Excessive amounts of such fluid can impair breathing by limiting the expansion of the lungs during inhalation.
1st representation of pulmonary diseases map (prototype only)
Vascular Diseases
Pulmonary or bronchopulmonary sequestration is a medical condition where a piece of tissue that develops into lung tissue is not attached to the pulmonary blood supply and does not communicate with the other lung tissue.
*
pulmonary embolism
Sarcoidosis is a systematic granulomatous inflammatory disease characterized by sarcoidosis non-caseating granulomas Fibrosis is the formation or development of excess fibrous connective tissue in an organ or tissue as a reparative or reactive process.
Pulmonary edema is fluid accumulation in the lungs. It leads to impaired gas exchange and may cause respiratory failure.
pulmonary hypertension pleural effusion
Later representation of pulmonary diseases map (prototype only)
Pulmonary embolism is a blockage of the main artery of the lung or one of its branches by a substance that has travelled from elsewhere in the body through the bloodstream.
Pulmonary hypertension is an increase in blood pressure in the pulmonary artery, pulmonary vein, or pulmonary capillaries, together known as the lung vasculature, leading to shortness of breath, dizziness, fainting, etc.
Prototype 2 After researching the human bronchial tree communication system, I adapt the data to a list of pulmonary diseases and its implications to the pulmonary system. I decided to scale the prototype up and print the information on one side of a 45g paper with dimensions of 210mm (h) x 420mm (w). I used colourful post-its as a ring holder simulating the cigarette bud. After observed peers and tutors struggling to roll the maps back into place (ring) from the first prototype, I glued a strip of colourful paper on one of the edges of the map in order to facilitate the roll back process. As bigger prototype box, I used a ordinary milk card box. The feedback was the following: What do you want to map? Uses of map. Material (cigarette, rizlas, cigar, tobacco etc.) More than just cigarette (history, how A becomes B) How mapping changes society Bible paper, parchment paper Question the content (what do you put on it?) What is a map How can you change people perception of smoking? Underline theme Challenge what map is about More about process of mapping More about map About miles in your cigarette Designed smoking area Tobacco history Make people aware of what they are doing How map more information than warning signs Away to get people to cut down smoking (control it) Personal smoking life Pack of rizlas – something in sequence Book of rizlas and video it (record) Every rizla has a single thing (photo, fact, message, etc)
List of 20 maps and/or information that will be the content of the giant cigarette box.
The easiest way to roll the maps back:
Hold both edges of the map...
let the edge with extra strip goes...
until the map roll itself...
hold the semi rolled map with one hand...
hold extra strip with the other hand...
start rolling up the map...
in opposite directions...
from the extra strip of paper...
without letting it go...
keep rolling...
untill it is tight (but not very tight)...
hold the rolled map with one hand...
find the ring holder with the other hand...
fit it inside the ring holder...
slide it over...
and TA-DA! that is all.
Mayas was the first to cultivate the tobacco plant and this tempted me to place the 3 Americas (North, Central and South) at the middle of the world maps. Intriguing curiosity: Indigenous tribe all over the three Americas used to smoking tobacco. Mayan myth: “In ancient times, when the land was barren and the people were starving, the Great Spirit sent forth a woman to save humanity. As she travelled over the world everywhere her right hand touched the soil, there grew potatoes. And everywhere her left hand touched the soil, there grew corn. And in the place where she had sat, there grew tobacco.� In 1492 Christopher Columbus and his crew returned to Europe from the Americas with the first tobacco leaves and seeds ever seen on the continent. A crew member, Rodrigo de Jerez, was seen smoking and imprisoned by the Inquisition, which believed he was possessed by the devil.
1st representation of 2 maps from page 6. European Tobacco 1st contact
After been literally trancing the whole world, country by country (above), the end result will be the basis for all geographical maps and background image for this project. It will be used colours to define the end result for each map. Including giant cigarette box cover. Lots of live paint will be used. Adobe Illustrator... I don’t know what I would do without you!
WORLD CIVILIZATIONS, circa 1500 Aztec Empire
Muslim States
Muslim India
Muscovy
Maya Empire
Ming China
Hindu India
Inca Empire
Japan
Safavid Persia
*Tatar Khanates Crimea* Kazan* Astrakhan*
Songhai Empire
Buddhist States
Ottoman Empire
Major Nautical Trade Routes
I intent to print it in a very thin paper, in order to highlighting its fragility and also to imitate a cigarette paper or rizlas. If there is time, I would love to create 100s of miniatures (size of a regular cigarette pack) to be distributed or sold during the exhibition.
Later representation of 2 maps from page 6. European Tobacco 1st contact
Table a THe DeMOGRapHICS OF TObaCCO 1
2
Current Cigarette Use
Current Any Tobacco Use
Daily Tobacco Smoking
Current Tobacco Smoking
Current Tobacco Use
Age Range
Daily Cigarette Use
32,738 32,738
--
--
82.0 82.0
--
--
--
--
18+ 18+
ALBANIA ALBANIA
3,172 3,172
40.5 40.5
40.5 40.5
--
--
--
46.3 46.3
--
15–49 15–49
ALGERIA ALGERIA
33,351 33,351
26.6 26.6
29.9 29.9
32.3 32.3
--
25–64 25–64
AFGHANISTAN AFGHANISTAN
67 67
ANDORRA ANDORRA
16,557 16,557
ANGOLA ANGOLA
ARGENTINA ARGENTINA ARMENIA ARMENIA
36.5 36.5
--
38.1 38.1
36.5 36.5
--
42.0 42.0
--
--
--
--
--
--
----
---
84 84
--
--
--
--
--
--
--
39,134 39,134
34.3 34.3
34.6 34.6
--
--
--
35.1 35.1
26.2 26.2
3,010 3,010
55.1 55.1
55.1 55.1
--
60.5 60.5
--
--
16.6 16.6
ANTIGUAAND ANDBARBUDA BARBUDA ANTIGUA
--
--
16+ 16+ --
15–49 15–49
20,701 20,701
--
--
--
--
--
AUSTRIA AUSTRIA
8,281 8,281
46.4 46.4
46.4 46.4
--
48.0 48.0
40.2 40.2
--
--
14–99 14–99
8,484 8,484
--
--
--
--
--
--
--
--
327 327
BAHAMAS BAHAMAS
739 739
BAHRAIN BAHRAIN BANGLADESH BANGLADESH
155,990 155,990 293 293
--
--
25.6 25.6 42.8 42.8
--
26.1 26.1
--
47.0 47.0
48.6 48.6
19.3 19.3
--
15.0 15.0
--
--
41.0 41.0
--
--
--
----
--
18+ 18+
3.0 3.0
--
15–44 15–44
0.2 0.2
0.3 0.3
--
0.5 0.5
0.4 0.4
29.2 29.2
29.2 29.2
--
30.0 30.0
16–59 16–59 15+ 15+ 15+ 15+
--
--
--
--
--
--
--
--
--
--
--
--
--
24.9 24.9
18.6 18.6
1
3.7 3.7
--
--
1.7 1.7
--
--
15.2 15.2
--
--
(hectares, 2004-2007)
10.8 10.8
0.9 0.9
41.4 41.4
--
AFGHANISTAN AFGHANISTAN
5.8 5.8
84.8 84.8
1,201 1,201
ALBANIA ALBANIA
--
--
--
--
44.9 46.8 46.8 44.9
577 577
--
ALGERIA ALGERIA
--
ANDORRA ANDORRA
--
--
--
--
397 397
ANGOLA ANGOLA
--
2.7 2.7
4.4 4.4
18.9 18.9
--
ANTIGUAAND ANDBARBUDA BARBUDA ANTIGUA
18+ 18+
36.0 36.0
--
--
71.0 71.0
1,014 1,014
ARGENTINA ARGENTINA
15–49 15–49
20.0 20.0
10.3 10.3
0.9 0.9
90.4 90.4
2,083 2,083
14+ 14+
16.0 16.0
77
77
17.2 17.2
--
--
--
--
--
40.1 40.1
--
47.0 47.0
35.5 35.5
--
--
14–99 14–99
--
0.9 0.9
0.9 0.9
--
--
--
0.6 0.6
--
15–44 15–44
--
26.1 37.1 37.1 26.1 --
--
ARMENIA ARMENIA
1,130 1,130
AUSTRALIA AUSTRALIA
--
1,684 1,684
AUSTRIA AUSTRIA
--
1,089 1,089
AZERBAIJAN AZERBAIJAN
$1.29 $1.29
58.30% 58.30%
29-Jun-04 29-Jun-04
26-Apr-06 26-Apr-06
3,403 3,403
Lowermiddle middle Lower
$2.88 $2.88
$0.93 $0.93
63.53% 63.53%
20-Jun-03 20-Jun-03
30-Jun-06 30-Jun-06
5,227 5,227
Lowermiddle middle Lower
BAHAMAS BAHAMAS
BAHAMAS BAHAMAS
--
BAHRAIN BAHRAIN
BAHRAIN BAHRAIN
172 172
BANGLADESH BANGLADESH
--
--
BARBADOS BARBADOS
75.3 75.3
1,846 1,846
BELARUS BELARUS
15+ 15+
--
23.1 23.8 23.8 23.1
--
1,763 1,763
BELGIUM BELGIUM
--
20.2 11.1 11.1 20.2
15.5 15.5
--
BELIZE BELIZE
8,760 8,760
--
--
--
--
--
--
--
Adult Adult
__
20-Sep-07 20-Sep-07
2,810 2,810 5,296 5,296
High High Lowermiddle middle Lower
ALBANIA ALBANIA ALGERIA ALGERIA
ANGOLA ANGOLA
5-Jun-06 5-Jun-06
3,484 3,484
__
65,479 65,479
Uppermiddle middle Upper
ARGENTINA ARGENTINA
__
29-Nov-04 29-Nov-04
2,571 2,571
Lowermiddle middle Lower
ARMENIA ARMENIA
1,417 1,417
0.0003 0.0003
2,960 2,960
4,000 4,000
6,865 6,865
1,386 1,386
19,921 19,921
23,300 23,300
$7.81 $7.81
$7.41 $7.41
62.09% 62.09%
5-Dec-03 5-Dec-03
27-Oct-04 27-Oct-04
170,044 170,044
200 200
0.0030 0.0030
304 304
31,791 31,791
8,344 8,344
458 458
19,757 19,757
40,810 40,810
$5.47 $5.47
$5.75 $5.75
74.90% 74.90%
28-Aug-03 28-Aug-03
15-Sep-05 15-Sep-05
50,468 50,468
1,191 1,191
0.0584 0.0584
4,845 4,845
638 638
13,366 13,366
4,455 4,455
3,869 3,869
4,620 4,620
$1.33 $1.33
$0.65 $0.65
__
__
1-Nov-05 1-Nov-05
2,870 2,870
__
__
__
__
00
__
__
57 57
0.3323 0.3323
38,000 38,000
1,055 1,055
__
00
1,771 1,771 478 478
__ __
__
__
__
__
61 61
__
$1.45 $1.45
__
68.00% 68.00%
__
22,524 22,524
$1.16 $1.16
$0.58 $0.58
65.00% 65.00%
29-Jun-04 29-Jun-04
__
__
20-Mar-07 20-Mar-07
16-Jun-03 16-Jun-03 28-Jun-04 28-Jun-04
5,616 5,616 9,509 9,509
14-Jun-04 14-Jun-04
22,775 22,775
3-Nov-05 3-Nov-05
13,958 13,958
00
22
270 270
$2.51 $2.51
$2.51 $2.51
24.39% 24.39%
1,200 1,200
3,337 3,337
134 134
9,061 9,061
15,650 15,650
$0.50 $0.50
$0.50 $0.50
29.90% 29.90%
8-Sep-05 8-Sep-05
3,423 3,423
209 209
857 857
22,752 22,752
45,520 45,520
62,033 62,033
9,500 9,500
$5.89 $5.89
$5.81 $5.81
77.43% 77.43%
22-Jan-04 22-Jan-04
1-Nov-05 1-Nov-05
91,832 91,832
__
__
33
260 260
__
36 36
100 100
$2.55 $2.55
$2.55 $2.55
__
26-Sep-03 26-Sep-03
15-Dec-05 15-Dec-05
2,080 2,080
BENIN BENIN
1,000 1,000
1,544 1,544
301 301
__
__
$0.75 $0.75
$0.75 $0.75
17.25% 17.25%
3,594 3,594
820 820
BELGIUM BELGIUM
__
43 43
__
1,600 1,600
0.0234 0.0234
__
BELARUS BELARUS
138 138
00
__
0.0090 0.0090
71 71
BELIZE BELIZE
BARBADOS BARBADOS
17-Jun-04 17-Jun-04
High High
ANDORRA ANDORRA
28-Jun-04 28-Jun-04 25-Sep-03 25-Sep-03
60.67% 60.67%
High High High High Lowermiddle middle Lower High High High High Low Low High High Uppermiddle middle Upper High High Uppermiddle middle Upper
ANTIGUAAND ANDBARBUDA BARBUDA ANTIGUA
AUSTRALIA AUSTRALIA AUSTRIA AUSTRIA AZERBAIJAN AZERBAIJAN BAHAMAS BAHAMAS BAHRAIN BAHRAIN BANGLADESH BANGLADESH BARBADOS BARBADOS BELARUS BELARUS BELGIUM BELGIUM BELIZE BELIZE
--
--
--
1,350 1,350
0.0392 0.0392
18-Jun-04 18-Jun-04
3-Nov-05 3-Nov-05
--
--
--
adult adult
BHUTAN BHUTAN
BHUTAN BHUTAN
110 110
0.0186 0.0186
__
__
__
__
__
__
__
__
__
9-Dec-03 9-Dec-03
23-Aug-04 23-Aug-04
861 861
Lowermiddle middle Lower
--
--
--
--
--
26.1 26.1
29.2 29.2
--
32.5 32.5
--
29.6 29.6
--
15–49 15–49
41.0 41.0
--
--
35.6 35.6
178 178
BOLIVIA BOLIVIA
BOLIVIA BOLIVIA
850 850
0.0023 0.0023
1,170 1,170
83 83
282 282
__
285 285
1,350 1,350
$1.30 $1.30
$0.75 $0.75
43.00% 43.00%
27-Feb-04 27-Feb-04
15-Sep-05 15-Sep-05
6,953 6,953
Lowermiddle middle Lower
BOLIVIA BOLIVIA
46.6 46.6
--
--
18+ 18+
35.1 35.1
35.1 35.1
--
34.2 34.2
24.9 24.9
--
--
18+ 18+
47.0 47.0
15.0 15.0
8.4 8.4
96.7 96.7
2,145 2,145
BOSNIAAND ANDHERZEGOVINA HERZEGOVINA BOSNIA
2,321 2,321
0.1352 0.1352
3,916 3,916
328 328
6,675 6,675
846 846
1,932 1,932
4,537 4,537
$2.41 $2.41
$2.41 $2.41
67.70% 67.70%
__
__
3,450 3,450
Lowermiddle middle Lower
BOSNIAAND ANDHERZEGOVINA HERZEGOVINA BOSNIA
BOTSWANA BOTSWANA
1,858 1,858
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
8.7 8.7
2.6 2.6
--
--
BOTSWANA BOTSWANA
__
__
__
__
675 675
__
128 128
__
__
__
39.09% 39.09%
16-Jun-03 16-Jun-03
31-Jan-05 31-Jan-05
1,566 1,566
Uppermiddle middle Upper
BOTSWANA BOTSWANA
189,320 189,320
--
--
--
20.3 20.3
16.9 16.9
--
17.0 17.0
--
--
37.2 37.2
580 580
BRAZIL BRAZIL
461,482 461,482
0.1873 0.1873
900,381 900,381
5,197 5,197
115 115
566,027 566,027
10,119 10,119
111,450 111,450
$1.59 $1.59
$1.44 $1.44
68.20% 68.20%
16-Jun-03 16-Jun-03
3-Nov-05 3-Nov-05
127,215 127,215
Uppermiddle middle Upper
382 382
--
--
--
--
--
--
--
--
--
--
--
BRUNEIDARUSSALAM DARUSSALAM BRUNEI
__
__
__
__
__
__
__
__
$2.30 $2.30
$1.64 $1.64
__
3-Jun-04 3-Jun-04
3-Jun-04 3-Jun-04
3,962 3,962
--
2,437 2,437
BULGARIA BULGARIA
--
BURKINAFASO FASO BURKINA
41,956 41,956
2,446 2,446
193 193
38,661 38,661
11,112 11,112
17,500 17,500
$2.54 $2.54
$1.31 $1.31
BULGARIA BULGARIA BURKINAFASO FASO BURKINA
7,693 7,693
47.5 47.5
47.5 47.5
--
40.8 40.8
14,359 14,359
14.2 14.2
22.0 22.0
--
23.6 23.6
19.0 19.0
--
--
15.6 15.6
--
40.5 40.5
--
--
54.0 54.0
8,173 8,173
--
CAMBODIA CAMBODIA
14,197 14,197
37.9 37.9
CAMEROON CAMEROON
18,175 18,175
9.9 9.9
12.6 12.6
CANADA CANADA
32,649 32,649
19.0 19.0
519 519
--
BURUNDI BURUNDI
CAPEVERDE VERDE CAPE CENTRALAFRICAN AFRICANREPUBLIC REPUBLIC CENTRAL CHAD CHAD
--
-----
--
--
--
--
12.8 12.8
10.0 10.0
--
--
18+ 18+
--
--
--
--
--
--
--
--
--
15+ 15+
--
18+ 18+
--
19+ 19+
--
18–64 18–64
--
--
--
--
--
--
--
--
19.9 19.9
15.3 15.3
--
--
--
--
--
--
--
--
15+ 15+
27.8 27.8
27.8 27.8
0.8 0.8
11.2 11.2
--
--
22.8 22.8
--
11.1 11.1
10.3 10.3
--
--
--
11.4 11.4
--
--
--
6.5 6.5
--
--
6.0 6.0
--
18–64 18–64
0.2 0.2
47.0 47.0
447 447
2.2 2.2
--
--
--
--
--
--
--
--
--
--
141 141
--
15.5 15.5
11.8 11.8
12.0 12.0
10.5 10.5
9.0 9.0
--
897 897
CANADA CANADA
--
--
--
--
--
--
--
--
--
CAPEVERDE VERDE CAPE
--
--
--
--
--
--
---
--
15+ 15+ 18+ 18+
--
--
19+ 19+
--
26.0 39.4 39.4 26.0
--
19.8 19.8
BENIN BENIN
--
1.3 1.3 --
--
32.8 32.8
5.7 5.7 17.5 17.5
--
6.3 6.3
--
__
29-Jun-04 29-Jun-04
__
68.10% 68.10%
$0.50 $0.50
54.2 54.2
18.3 18.3
22.0 22.0
__
10.00% 10.00%
__
$0.98 $0.98
$1.92 $1.92
--
--
--
__
$0.50 $0.50
__
$1.14 $1.14
--
18+ 18+
--
__
$1.90 $1.90
__
2,825 2,825
30,000 30,000
BANGLADESH BANGLADESH
__
3,800 3,800 38,000 38,000
34.1 34.1
--
--
--
__ __
3,410 3,410
49.3 49.3
--
--
34.3 34.3
__
3,728 3,728
33.8 33.8
BRAZIL BRAZIL
--
--
--
6.4 6.4
__ __
77 77
49.3 49.3
BRUNEIDARUSSALAM DARUSSALAM BRUNEI
--
21.6 21.6
3.9 3.9
--
7.6 7.6
31.2 21.7 21.7 31.2
334 334
100,498 100,498
9,354 9,354
--
7.0 7.0
--
__ __ 44
3,250 3,250
3,926 3,926
--
--
3.7 3.7
--
16+ 16+
332 332
500 500
BOLIVIA BOLIVIA
--
--
6.2 6.2 17.5 17.5
28.0 28.0
15+ 15+
__ __
703 703
200 200
BOSNIAAND ANDHERZEGOVINA HERZEGOVINA BOSNIA
649 649
--
---
15+ 15+
11
__
165,000 165,000
0.0151 0.0151
AUSTRIA AUSTRIA
--
16–59 16–59 15+ 15+
--
__
3,300 3,300
__ __
500 500
AZERBAIJAN AZERBAIJAN
--
--
--
__
AFGHANISTAN AFGHANISTAN
92,000 92,000
AUSTRALIA AUSTRALIA
--
---
--
__
__
ARGENTINA ARGENTINA ARMENIA ARMENIA
--
---
--
__
3,500 3,500
ANGOLA ANGOLA ANTIGUAAND ANDBARBUDA BARBUDA ANTIGUA
--
BENIN BENIN BHUTAN BHUTAN
--
3.4 3.4
--
--
15+ 15+
4.6 4.6
35.7 35.7
--
BURUNDI BURUNDI CAMBODIA CAMBODIA CAMEROON CAMEROON
4,265 4,265
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
CENTRALAFRICAN AFRICANREPUBLIC REPUBLIC CENTRAL
10,468 10,468
12.7 12.7
16.0 16.0
--
17.4 17.4
13.2 13.2
--
--
18+ 18+
1.0 1.0
2.6 2.6
--
2.9 2.9
2.1 2.1
--
--
18+ 18+
--
--
--
--
--
CHAD CHAD
16,433 16,433
41.7 41.7
42.1 42.1
--
30.5 30.5
--
31.8 31.8
--
15+ 15+
--
2.6 2.6
--
$2.17 $2.17
77.25% 77.25%
25-Sep-03 25-Sep-03
13-Jun-05 13-Jun-05
49,567 49,567
Uppermiddle middle Upper
$1.70 $1.70
10-Nov-03 10-Nov-03
11-Oct-05 11-Oct-05
114,342 114,342
Lowermiddle middle Lower
CHINA CHINA
18,000 18,000
0.0413 0.0413
35,000 35,000
6,963 6,963
3,387 3,387
6,873 6,873
1,373 1,373
25,000 25,000
$1.14 $1.14
$0.83 $0.83
35.00%– 35.00%– 40.00% 40.00% 49.79% 49.79%
__
10-Apr-08 10-Apr-08
23,487 23,487
Lowermiddle middle Lower
COLOMBIA COLOMBIA
__
__
__
__
54 54
__
__
__
__
__
80.09% 80.09%
27-Feb-04 27-Feb-04
24-Jan-06 24-Jan-06
552 552
Low Low
COMOROS COMOROS
COMOROS COMOROS
COLOMBIA COLOMBIA
3,689 3,689
9.8 9.8
12.1 12.1
--
13.0 13.0
10.7 10.7
--
--
18+ 18+
0.4 0.4
1.0 1.0
--
1.3 1.3
1.1 1.1
--
--
18+ 18+
--
15.0 15.0
8.1 8.1
25.7 25.7
--
CONGO CONGO
COMOROS COMOROS
60,644 60,644
10.9 10.9
13.5 13.5
--
14.2 14.2
10.2 10.2
--
--
15+ 15+
0.6 0.6
2.6 2.6
--
1.2 1.2
0.6 0.6
--
--
15+ 15+
--
--
--
--
131 131
CONGO,DEMOCRATIC DEMOCRATICREPUBLIC REPUBLICOF OF CONGO,
12 12
36.1 36.1
36.1 36.1
--
47.0 47.0
38.0 38.0
--
--
25–64 25–64
20.0 20.0
20.0 20.0
--
41.0 41.0
29.0 29.0
--
--
25–64 25–64
--
39.9 49.6 49.6 39.9
57.2 57.2
--
COOKISLANDS ISLANDS COOK
--
12–70 12–70
--
23.3 23.3
--
--
19.3 19.3
14.5 14.5
38.9 38.9
38.9 38.9
--
31.6 31.6
30.0 30.0
36.1 36.1
26.1 26.1
26.1 26.1 15.4 15.4 43.4 43.4
--
--
41.6 41.6
--
38.1 38.1
--
--
15+ 15+
--
33.8 33.8
29.6 29.6
15+ 15+
25.4 25.4
25.4 25.4
--
--
28.6 28.6
--
--
15+ 15+
30.6 30.6
30.6 30.6
--
25.9 25.9
--
--
--
36.6 36.6
36.6 36.6
--
--
36.1 36.1
36.1 36.1
--
31.5 31.5
-----
--
12–70 12–70
--
18+ 18+
7.3 7.3 0.6 0.6
7.3 7.3
--
2.4 2.4
--
2.3 2.3
--
22.9 22.9
--
18+ 18+
29.1 29.1
29.1 29.1
--
15+ 15+
26.4 26.4
28.3 28.3
--
--
--
--
8.2 8.2
--
--
1.2 1.2
--
17.8 17.8
--
--
--
--
--
18+ 18+
--
18+ 18+
37.0 37.0
15.7 16.8 16.8 15.7 --
--
552 552
--
44.2 44.2
198 198
21.7 25.6 25.6 21.7
92.2 92.2
1,849 1,849
COSTARICA RICA COSTA COTED’IVOIRE D’IVOIRE COTE CROATIA CROATIA
--
23.0 23.0
--
15+ 15+
--
11.2 11.2
8.8 8.8
61.4 61.4
1,010 1,010
--
10.5 10.5
--
--
15+ 15+
--
12.3 12.3
8.2 8.2
87.0 87.0
1,830 1,830
CYPRUS CYPRUS
--
22.9 22.9
19.4 19.4
15+ 15+
22.0 22.0
29.8 32.7 32.7 29.8
37.6 37.6
2,368 2,368
CZECHREPUBLIC REPUBLIC CZECH
24.1 24.1
--
--
15+ 15+
--
16.7 21.0 21.0 16.7
--
1,495 1,495
DENMARK DENMARK
CUBA CUBA
98
CONGO CONGO CONGO,DEMOCRATIC DEMOCRATICREPUBLIC REPUBLICOF OFTHE THE CONGO,
DENMARK DENMARK
1
Male Crude
Male Age Standardized
3
4
Student Health Professionals’ Smoking Prevalence
Youth Smoking Prevalence
COUNTRY (thousands)
Current Cigarette Use
Current Any Tobacco Use
Daily Tobacco Smoking
Current Tobacco Smoking
Current Tobacco Use
Current Cigarette Use
Age Range
Daily Cigarette Use
Current Cigarette Use
5
Current Any Tobacco Use
Current Tobacco Use
Current Tobacco Smoking
Daily Tobacco Smoking
Current Cigarette Use
(percentages)
Age Range
Daily Cigarette Use
(percentages)
(percentages national data) Boys
1,040 1,040
$0.65 $0.65
$0.65 $0.65
31.25% 31.25%
23-Mar-04 23-Mar-04
6-Feb-07 6-Feb-07
15,357 15,357
6,500 6,500
$0.38 $0.38
$0.38 $0.38
38.50% 38.50%
28-Jun-04 28-Jun-04
28-Oct-05 28-Oct-05
9,988 9,988
__
14-May-04 14-May-04
14-May-04 14-May-04
3-Jul-03 3-Jul-03
21-Aug-08 21-Aug-08
__
0.0019 0.0019
__
136 136
__
11 11
11 11 39 39
__
149 149
747 747
84 84
1,233 1,233
5,897 5,897
__
1,037 1,037
__
__
$2.52 $2.52
__
$1.21 $1.21 $1.68 $1.68
56.50% 56.50%
883 883
10,851 10,851
7,345 7,345
0.3079 0.3079
29,700 29,700
738 738
__
360 360
2,722 2,722
3,725 3,725
00
11
1,750 1,750
$4.67 $4.67
$4.14 $4.14
__
__
__
9,477 9,477
17,064 17,064
3,039 3,039
16,342 16,342
17,825 17,825
$3.44 $3.44
$3.56 $3.56
__
__
__
5,066 5,066
4,632 4,632
920 920
15,745 15,745
11,849 11,849
$5.91 $5.91
$5.91 $5.91
73.40% 73.40%
2,770 2,770
3,500 3,500
$1.35 $1.35
10,200 10,200
0.1904 0.1904
100 100
65 65
4,090 4,090
854 854
0.0985 0.0985
5,300 5,300
50.25% 50.25%
24-Jul-03 24-Jul-03 2-Jun-04 2-Jun-04
__
2,895 2,895 27,978 27,978 233 233
Lowermiddle middle Lower Low Low __
CHILE CHILE
CONGO CONGO CONGO,DEMOCRATIC DEMOCRATICREPUBLIC REPUBLICOF OFTHE THE CONGO, COOKISLANDS ISLANDS COOK
Uppermiddle middle Upper Low Low
COSTARICA RICA COSTA COTED’IVOIRE D’IVOIRE COTE
4,722 4,722
14,457 14,457
$3.28 $3.28
$3.24 $3.24
67.10% 67.10%
14-Jul-08 14-Jul-08
4,360 4,360
Uppermiddle middle Upper
176 176
13,200 13,200
$3.00 $3.00
$1.03 $1.03
22.00% 22.00%
29-Jun-04 29-Jun-04
__
23,471 23,471
Uppermiddle middle Upper
72.08% 72.08%
24-May-04 24-May-04
26-Oct-05 26-Oct-05
23,310 23,310
High High
CYPRUS CYPRUS
80.43% 80.43%
16-Jun-03 16-Jun-03
__
14,586 14,586
High High
CZECHREPUBLIC REPUBLIC CZECH
16-Jun-03 16-Jun-03
16-Dec-04 16-Dec-04
62,935 62,935
High High
DENMARK DENMARK
Ratified or acceded
on the Legacy Website
CROATIA CROATIA CUBA CUBA
107
COUNTRY
(annual per capita)
819
-
13+
-
8.6
2.6
43.0
-
-
-
-
-
-
-
-
-
11.8
9.6
26.4
-
DOMINICA DOMINICA
-
17.2
15.3
-
-
18+
10.9
13.3
-
12.5
10.8
-
-
18+
-
7.3
5.8
35.0
335
DOMINICAN REPUBLIC REPUBLIC DOMINICAN
-
26.3
6.1
-
-
18+
5.6
5.8
-
6.6
1.3
-
-
18+
-
-
-
-
234
ECUADOR ECUADOR
EGYPT EGYPT
74,166 74,166
24.5
28.7
-
59.3
39.2
-
-
18+
0.9
1.3
-
2.7
0.4
-
-
18+
8.0
5.9
1.4
38.0
1,082
EGYPT EGYPT
6,762
-
-
21.5
-
-
-
-
12–64
-
-
3.4
-
-
-
-
12–64
-
18.4
10.9
16.1
275
EL SALVADOR SALVADOR EL
-
EQUATORIAL GUINEA GUINEA EQUATORIAL
72
EL EL SALVADOR SALVADOR
-
-
-
-
-
-
75.0
-
-
13+ -
496
-
-
-
-
-
-
-
ERITREA ERITREA
4,692
15.6
16.9
-
-
-
-
-
-
ESTONIA ESTONIA
1,342
49.9
49.9
-
55.5
47.7
-
-
16–64
EQUATORIAL EQUATORIAL GUINEA GUINEA
77,154 77,154
ETHIOPIA ETHIOPIA
833
FIJI FIJI FINLAND FINLAND FRANCE FRANCE
6.9
7.6
23.6
-
23.6
-
-
-
6.3
5.3
-
-
26.0
-
Agricultural Land under Tobacco
Tobacco Produced
Cigarette Exports
Cigarette Imports
Tobacco Leaf Exports
Tobacco Leaf Imports
Cigarettes Manufactured
Marlboro or Equivalent
Local Brand
-
-
18+ 15–85
-
10.0
-
-
-
-
-
-
-
-
-
0.7
1.2
-
-
-
-
-
-
-
2.0
0.6
18.7
-
ERITREA ERITREA
27.5
-
30.7
21.1
-
-
16–64
-
30.4
18.2
80.6
1,718
ESTONIA ESTONIA
0.5
0.9
-
5.1
-
(hectares, 2004–2007)
(percent of total, 2005)
(metric tons, 2006)
(millions, 2002–2007)
(millions, 2004–2007)
(metric tons, 2006)
(metric tons, 2006)
(millions, 2007 or latest)
(USD per pack)
(USD per pack)
__
__
44
12,000 12,000
__
__
__
59.79% 59.79%
__
0.0530 0.0530
7,800 7,800
22
122 122
3,025 3,025
524
2,980
$1.50 $1.50
$1.48 $1.48
57.71% 57.71%
22-Mar-04 22-Mar-04
25-Jul-06 25-Jul-06
14,898 14,898
Lowermiddle middle Lower
__
__
__
__
__
30 30
67,873
80,900
$1.33 $1.33
$1.28 $1.28
58.00% 58.00%
17-Jun-03 17-Jun-03
25-Feb-05 25-Feb-05
22,798 22,798
Lowermiddle middle Lower
EGYPT EGYPT
600 600
__
1,100 1,100
11
887 887
__
412
1,107
$1.20 $1.20
$1.14 $1.14
44.50% 44.50%
18-Mar-04 18-Mar-04
__
18,721 18,721
Lowermiddle middle Lower
SALVADOR ELEL SALVADOR
__
17-Sep-05 17-Sep-05
0.5
0.4
-
-
3.9
-
-
18+
-
-
15–85
-
6.7
-
16.7
3.1
46.5
52
ETHIOPIA ETHIOPIA
-
FIJI FIJI
__
__
7,000 7,000
0.0283 0.0283
18,880 18,880
0.0166 0.0166
1,371 1,371
12 12
1,662 1,662
1 1
1,745
3,000
$1.50 $1.50
$1.03 $1.03
39.20% 39.20%
20-Feb-04 20-Feb-04
14-Feb-06 14-Feb-06
10,460 10,460
34.8
-
-
-
-
18+
-
-
-
18+
52.0
32.2
33.7
-
1,125
0.0262 0.0262
11,000 11,000
171,774 171,774
29,886 29,886
67,619 67,619
195,111
216,042 216,042
$6.38 $6.38
$6.18 $6.18
75.77% 75.77%
24-Oct-03 24-Oct-03
16-Dec-04 16-Dec-04
261,058 261,058
-
9.0 -
6.2
-
-
-
51.0
47.4
18+
-
27.3
-
-
0.5
0.8
-
1.2
0.4
39.8
-
-
-
39.0
39.6
-
-
-
-
-
-
-
4.1
4.1
-
3.4
0.9
-
-
-
-
8.6
-
-
18+
1.0
18–89
18.1
80
41.0
11.3
9.0
89.8
3,017
-
10.9
9.5
2.3
27.3
-
-
325
GHANA GHANA GREECE GREECE
18+
-
-
-
GUINEA GUINEA
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
GUINEA-BISSAU GUINEA-BISSAU
-
-
-
-
-
-
-
-
-
-
-
-
-
11.0
5.4
33.7
-
GUYANA GUYANA
-
-
9,446 6,969
-
-
-
-
-
-
-
-
-
-
-
45.7
45.7
302
26.1
26.1 33.1
57.0
-
65.9
-
63.2
20.9
27.6 62.1
-
-
3.4
3.4
-
4.4 -
-
-
-
15–49
-
2.3
-
15–49
-
3.5
-
14.4
-
12.4 -
-
30.8
HAITI HAITI
450
HONDURAS HONDURAS
-
-
-
499
HONG HONG KONG KONG
26.7
26.8
84.0
1,623
18+
33.9
33.9
-
31.3
27.7
-
-
15–89
26.6
26.6
-
23.0
19.2
-
-
15–89
-
-
-
-
-
32.7
-
15–49
1.0
3.8
3.1
-
-
1.4
-
15–49
12.0
5.9
1.8
26.5
99
INDIA INDIA
-
-
15+
4.0
4.5
-
4.5
3.3
-
-
15+
9.0
23.9
1.9
66.8
974
INDONESIA INDONESIA
764
IRAN, IRAN, ISLAMIC ISLAMIC REPUBLIC REPUBLIC OF OF
24.0
29.6
-
24.1
25.8
-
41.5
-
-
5.0
-
-
31.1
31.1
-
-
13.9
32.8
32.8
-
28.3
-
24.9 -
-
15–64 25–65 15+
5.5
-
1.9
2.5
-
26.0
1.9
26.0
-
-
28.6
-
15–49
-
-
43.3
-
20+
-
4.3
2.9
6.9
4.1
-
-
25.3
-
-
15–64
-
3.0
25–65
-
3.2
18.0
1.0
-
-
19.5
42.9 50.2
20.5
784
-
IRAQ IRAQ
-
-
-
9.1
21+
22.0
16.9
11.6
-
1,173
-
16.2
-
-
-
14+
51.0
21.8
24.9
-
1,596
ITALY ITALY
9.2
-
-
-
7.7
-
15–49
-
20.6
10.9
34.4
480
JAMAICA JAMAICA
-
-
-
12.0
-
20+
24.0
-
-
-
2,028
JAPAN JAPAN
-
10.0
ICELAND ICELAND
14.3
-
15+
HUNGARY HUNGARY
-
19.2
17.9
-
18+
7.6
17.9 19.2
20.8 44.3
-
14.3
21+ 14+
18.8 44.3
-
15+
-
26.2
34.0
-
52.4
2,667
-
GRENADA GRENADA GUATEMALA GUATEMALA
19.3
7,049
-
-
38.6
127,760 127,760
-
-
-
58,843 58,843
-
-
-
22.0
-
-
-
-
42.5
-
15+
-
11–72
-
25.1
26.5
22.0
18+
-
-
70,098 70,098
26.5
-
-
-
-
28,221 28,221
4,268
-
-
6,857 10,067 10,067
-
-
2.8
-
-
-
223,040 223,040
-
39.8
-
-
1,109,800 1,109,800
-
18–89
8.3
ICELAND ICELAND
-
GABON GABON GAMBIA GAMBIA
-
1,391
IRELAND IRELAND ISRAEL ISRAEL
5,538
61.9
62.7
-
-
-
50.5
-
18+
9.8
9.8
-
-
-
8.3
-
18+
17.0
13.2
7.1
65.0
846
JORDAN JORDAN
KAZAKHSTAN KAZAKHSTAN
15,308 15,308
43.2
43.2
-
52.2
38.7
-
-
18+
9.7
9.7
-
9.6
5.8
-
-
18+
-
12.7
6.6
72.7
1,805
KAZAKHSTAN KAZAKHSTAN
KENYA KENYA
36,553 36,553
23.9
27.1
26.2
21.2
2.2
-
1.9
-
32.3
-
100
-
-
KOREA, DEMOCRATIC DEMOCRATIC PEOPLE’S PEOPLE’S REP. REP. OF OF KOREA,
23,708 23,708
58.6
58.6
KOREA, REPUBLIC REPUBLIC OF OF KOREA,
48,418 48,418
53.3
53.3
-
-
-
-
34.4
KIRIBATI KIRIBATI
2,599
-
-
56.5
-
-
59.9
-
-
18+ 16+
1.1 -
-
18+
-
16+
-
20+
-
-
-
167
-
KENYA KENYA
-
KIRIBATI KIRIBATI
-
714
KOREA, KOREA, DEMOCRATIC DEMOCRATIC PEOPLE’S PEOPLE’S REP. REP. OF OF
39.9
1,733
18–60
-
17.7
4.5
-
1,509
-
1.5
-
15+
-
7.6
4.2
64.4
1,017
KYRGYZSTAN KYRGYZSTAN
15.4
13.2
-
-
18+
-
-
-
42.9
544
LAO LAO PEOPLE’S PEOPLE’S DEMOCRATIC DEMOCRATIC REPUBLIC REPUBLIC
-
-
-
-
1.6
-
1.9
-
4.7
-
-
15.6
-
5.8
-
-
2.2
13.6
5.7
-
8.7
9.4
-
2.2
18+
-
-
4.0
-
15+
-
59.0
-
-
18–60
-
45.0 65.8
-
-
20+
-
-
-
-
16+
-
41.7
46.9 65.0
-
-
-
52.8
46.9 61.1
5.7
-
-
-
5,192 5,759
-
0.9
-
KYRGYZSTAN KYRGYZSTAN LAO PEOPLE’S PEOPLE’S DEMOCRATIC DEMOCRATIC REPUBLIC REPUBLIC LAO
2.6
KOREA, KOREA, REPUBLIC REPUBLIC OF OF KUWAIT KUWAIT
LATVIA LATVIA
2,288
54.4
54.4
-
53.0
47.3
-
-
15–64
24.1
24.1
-
23.7
17.8
-
-
15–64
-
36.3
30.2
-
1,890
LATVIA LATVIA
LEBANON LEBANON
3,759
29.1
29.1
-
61.0
-
42.3
-
25–64
7.0
7.0
-
57.1
-
30.6
-
25–64
27.0
11.8
5.6
78.9
1,837
LEBANON LEBANON
__
GHANA GHANA
5,750 5,750
GREECE GREECE
17,400 17,400
1
2
1,995 1,995
Current Cigarette Use
2
Current Any Tobacco Use
--
--
--
--
---
47.9 47.9
--
--
--
15+ 15+
--
--
18+ 18+
Current Any Tobacco Use
--
--
--
Current Tobacco Smoking
Daily Tobacco Smoking
34.2 34.2
--
--
--
--
Age Range
Daily Cigarette Use
4
5
Youth Smoking Prevalence
(percentages)
(percentages national data)
6
--
15+ 15+
--
--
Boys
--
4.8 4.8
--
--
--
--
1.5 1.5
39.0 39.0
20–64 20–64
20.8 20.8
20.8 20.8
--
20.3 20.3
14.0 14.0
36.0 36.0
--
--
--
15+ 15+
30.3 30.3
30.3 30.3
--
26.0 26.0
--
--
--
15+ 15+
--
--
--
--
--
LUXEMBOURG LUXEMBOURG
--
--
--
--
40.0 40.0
15+ 15+
--
--
--
--
--
--
32.0 32.0
15+ 15+
--
8.5 8.5
6.8 6.8
91.9 91.9
2,336 2,336
MACEDONIA,FORMER FORMERYUGOSLAV YUGOSLAVREP. REP. MACEDONIA,
MADAGASCAR MADAGASCAR
19,159 19,159
--
--
--
--
--
--
--
--
13,571 13,571
19.2 19.2
23.7 23.7
--
25.5 25.5
20.6 20.6
--
--
18+ 18+
MALAYSIA MALAYSIA
26,114 26,114
51.1 51.1
46.5 46.5
54.4 54.4
--
39.0 39.0
--
300 300
39.7 39.7
44.5 44.5
37.4 37.4
--
--
27.3 27.3
11,968 11,968
14.0 14.0
19.5 19.5
--
24.1 24.1
18.8 18.8
406 406
32.8 32.8
32.8 32.8
--
--
--
MALDIVES MALDIVES
MALTA MALTA
65 65
MARSHALL ISLANDS ISLANDS MARSHALL
--
---
--
25–64 25–64
--
16+ 16+
--
--
18+ 18+
--
--
29.9 29.9
--
--
--
15–98 15–98 --
--
18+ 18+
--
20–64 20–64
28.0 28.0
7.7 7.7
--
0.9 0.9
40.3 40.3
33.8 25.9 25.9 33.8
45.0 45.0
--
--
--
--
--
--
--
--
--
--
276 276
MADAGASCAR MADAGASCAR
--
6.1 6.1
5.1 5.1
--
--
18+ 18+
--
3.8 3.8
2.2 2.2
10.8 10.8
--
MALAWI MALAWI
3.0 3.0
2.8 2.8
--
2.1 2.1
--
11.6 11.6
15.6 15.6
--
--
2.2 2.2
0.7 0.7
2.8 2.8
--
2.3 2.3
1.6 1.6
24.5 24.5
2.5 2.5 8.9 8.9
24.5 24.5
--
--
---
---
--
25–64 25–64
--
16+ 16+
--
--
--
--
17.6 17.6
--
--
--
2.0 2.0 --
18+ 18+
36.3 36.3
4.2 4.2
59.0 59.0
9.0 9.0
3.1 3.1
50.2 50.2
--
15–98 15–98
--
--
--
--
--
16.9 17.4 17.4 16.9 --
--
MALTA MALTA
--
MARSHALLISLANDS ISLANDS MARSHALL
--
MAURITANIA MAURITANIA
846 846
MAURITIUS MAURITIUS
22.3 22.3
--
27.4 27.4
23.2 23.2
--
--
18+ 18+
0.8 0.8
3.7 3.7
--
4.2 4.2
3.2 3.2
--
--
18+ 18+
--
20.3 18.3 18.3 20.3
43.8 43.8
35.7 35.7
--
42.4 42.4
32.2 32.2
--
--
18+ 18+
1.1 1.1
1.1 1.1
--
2.9 2.9
1.1 1.1
--
--
18+ 18+
--
19.8 19.8
7.7 7.7
42.7 42.7
104,220 104,220
36.9 36.9
36.9 36.9
--
--
--
30.4 30.4
21.6 21.6
20+ 20+
12.4 12.4
12.4 12.4
--
--
--
9.5 9.5
6.5 6.5
20+ 20+
--
--
111 111
--
--
--
42.0 42.0
--
--
--
20–85 20–85
--
--
--
--
--
--
--
--
--
--
51.1 51.1
--
15–59 15–59
--
7.1 7.1
--
15–49 15–49
--
--
--
--
3,833 3,833 33 33 2,585 2,585
45.8 45.8
45.8 45.8
--
--
48.9 48.9
35.6 35.6
2,047 2,047
35.9 35.9
38.6 38.6
14 14
46.1 46.1
46.1 46.1
NEPAL NEPAL
27,641 27,641
29.3 29.3
34.8 34.8
16,340 16,340
38.3 38.3
38.3 38.3
4,185 4,185
----
---
--
--
--
27.4 27.4
--
16.7 16.7
--
--
28.0 28.0
22.3 22.3
49.7 49.7
--
45.5 45.5
--
--
--
30.2 30.2
--
31.0 31.0
--
--
15–64 15–64 --
18+ 18+ 25–64 25–64 18+ 18+ 18+ 18+
5.8 5.8
5.8 5.8
--
6.5 6.5
--
6.5 6.5
--
0.2 0.2
--
-----
---
5.5 5.5 --
--
15–64 15–64
--
--
--
--
0.2 0.2
--
1.9 1.9
15.0 15.0
--
--
--
13.7 13.7
10.4 10.4
--
--
--
12.4 12.4
9.4 9.4
56.0 56.0
9.2 9.2
10.9 10.9
--
15–64 15–64
52.4 52.4
52.4 52.4
15–49 15–49
26.2 26.2
26.4 26.4
---
--
50.8 50.8
--
--
--
15.2 15.2
--
25.0 25.0
-----
30.0 30.0
--
MONGOLIA MONGOLIA MONTENEGRO MONTENEGRO MOROCCO MOROCCO
--
213 213
MOZAMBIQUE MOZAMBIQUE
--
209 209
MYANMAR MYANMAR
18+ 18+
--
21.9 21.9 16.1 16.1
--
15–49 15–49
--
-24.0 24.0
41.5 41.5
--
--
--
--
--
NEPAL NEPAL
888 888
NETHERLANDS NETHERLANDS
565 565
NEW NEWZEALAND ZEALAND
386 386
NICARAGUA NICARAGUA
--
21.9 21.9
--
--
--
--
--
--
--
5.3 5.3
--
--
--
15–49 15–49
--
--
--
41.5 41.5
--
--
--
15–35 15–35
--
--
--
11.3 11.3
--
--
--
15–35 15–35
--
11.7 11.7
1.1 1.1
33.9 33.9
--
NIGER NIGER
144,720 144,720
9.1 9.1
13.0 13.0
--
--
--
--
--
--
0.2 0.2
1.2 1.2
--
1.0 1.0
--
0.5 0.5
--
15–49 15–49
--
9.7 9.7
5.7 5.7
--
103 103
NIGERIA NIGERIA
11
--
--
--
--
--
37.5 37.5
--
15+ 15+
--
--
--
--
--
14.5 14.5
--
15+ 15+
--
--
--
--
--
--
39.0 39.0
27.0 27.0
15+ 15+
--
30.4 30.4
--
--
--
35.0 35.0
24.0 24.0
24.1 24.1
24.7 24.7
--
13.4 13.4
--
--
--
20+ 20+
0.3 0.3
1.3 1.3
--
0.5 0.5
--
--
--
20+ 20+
--
3.5 3.5
1.2 1.2
21.8 21.8
--
OMAN OMAN
29.7 29.7
35.4 35.4
--
32.4 32.4
27.3 27.3
--
--
18+ 18+
2.8 2.8
6.6 6.6
--
5.7 5.7
4.4 4.4
--
--
18+ 18+
14.0 14.0
--
--
29.6 29.6
391 391
PAKISTAN PAKISTAN
20 20
38.1 38.1
38.1 38.1
--
--
--
--
--
--
9.7 9.7
9.7 9.7
--
--
--
--
--
--
--
3,775 3,775
--
--
--
40.7 40.7
--
--
--
Adult Adult
--
--
--
3.2 3.2
--
--
--
Adult Adult
--
3,288 3,288 6,016 6,016
--32.6 32.6 --
--
--
52.1 52.1
--
--
46.0 46.0
--
--
--
--
---
15–75 15–75
--
--
15+ 15+
--
--
18+ 18+
13.9 13.9
14.8 14.8
---
19.5 19.5
--
28.0 28.0
--
--
--
--
15–75 15–75
--
15+ 15+
---
14.7 14.7 11.1 11.1 --
PANAMA PANAMA PAPUA PAPUANEW NEWGUINEA GUINEA
PERU PERU
8.5 8.5
9.8 9.8
--
12.3 12.3
7.1 7.1
--
--
18+ 18+
22.0 22.0
23.4 23.4 11.8 11.8
56.4 56.4
1,073 1,073
PHILIPPINES PHILIPPINES
15+ 15+
27.2 27.2
27.2 27.2
--
--
--
--
25.6 25.6
15+ 15+
39.0 39.0
19.6 19.6 17.1 17.1
87.9 87.9
1,810 1,810
POLAND POLAND
--
18+ 18+
31.0 31.0
31.0 31.0
--
--
--
17.6 17.6
--
18+ 18+
18.0 18.0
17.6 17.6 26.2 26.2
--
1,318 1,318
PORTUGAL PORTUGAL
26.0 26.0
--
-129 129
18+ 18+
38.0 38.0
35.0 35.0
--
--
291 291
--
--
--
--
--
--
--
13.3 13.3 22.5 22.5
--
--
--
--
--
76.0 76.0
--
-40.3 40.3
--
12–64 12–64
18+ 18+
52.1 52.1 35.8 35.8
41.6 41.6 57.5 57.5
--
12–64 12–64
PALAU PALAU PALESTINIAN PALESTINIANTERRITORY, TERRITORY,OCCUPIED OCCUPIED
42.6 42.6
--
--
---
--
--
--
---
--
40.6 40.6
--
--
--
42.0 42.0 43.9 43.9
40.6 40.6
6.5 6.5
--
968 968
821 821
--
--
--
37.0 37.0
--
--
--
Adult Adult
--
--
--
0.5 0.5
--
--
--
Adult Adult
--
2.3 2.3
32.0 32.0
--
QATAR QATAR
40.6 40.6
40.6 40.6
--
33.0 33.0
--
--
--
15–59 15–59
24.5 24.5
24.5 24.5
--
27.1 27.1
--
--
--
15–59 15–59
40.0 40.0
21.5 21.5 14.3 14.3
89.4 89.4
1,480 1,480
ROMANIA ROMANIA
142,500 142,500
70.1 70.1
70.1 70.1
--
--
--
--
60.4 60.4
18+ 18+
26.5 26.5
26.5 26.5
--
--
--
--
15.5 15.5
18+ 18+
39.0 39.0
26.9 26.9 23.9 23.9
75.2 75.2
2,319 2,319
RUSSIAN RUSSIANFEDERATION FEDERATION
9,464 9,464
--
--
--
--
--
--
--
--
--
8.3 8.3
--
--
--
--
--
--
RWANDA RWANDA
--
15–49 15–49
--
--
--
Table a THe DeMOGRapHICS OF TObaCCO 1
2 Adult Smoking Prevalence—Male (percentages)
Population
48 48
Current Cigarette Use
Current Any Tobacco Use
--
--
SAINTLUCIA LUCIA SAINT
166 166
25.4 25.4
28.9 28.9
SAINTVINCENT VINCENTAND ANDGRENADINES GRENADINES SAINT
120 120
18.7 18.7
--
SAMOA SAMOA
185 185
58.3 58.3
Current Tobacco Use
Current Any Tobacco Use
Current Tobacco Use
--
--
12.1 12.1
--
--
--
--
--
Daily Tobacco Smoking
--
--
--
37.3 37.3
--
25+ 25+
--
26.4 26.4
17.4 17.4
19+ 19+
5.3 5.3
--
--
--
60.0 60.0
--
29+ 29+
23.4 23.4
23.4 23.4
--
--
--
--
28.0 28.0
--
--
--
14+ 14+
--
--
--
17.0 17.0
23.2 23.2
--
--
--
--
28.8 28.8
14+ 14+
10.6 10.6
10.6 10.6
--
--
--
--
9.2 9.2
Current Tobacco Smoking
58.3 58.3
--
--
Current Cigarette Use
--
--
--
Age Range
Daily Cigarette Use
--
Current Cigarette Use
--
5.6 5.6
Daily Cigarette Use
--
Age Range
4 Youth Smoking Prevalence
5
(percentages)
(percentages national data)
--
Boys
--
7.0 7.0
(percentages)
1.9 1.9
--
--
--
25+ 25+
--
17.0 17.0
9.6 9.6
25.3 25.3
--
SAINTLUCIA LUCIA SAINT
1.9 1.9
19+ 19+
--
14.8 14.8
9.5 9.5
--
--
SAINTVINCENT VINCENTAND ANDGRENADINES GRENADINES SAINT
--
16.0 12.7 12.7 16.0
58.9 58.9
--
--
--
SANMARINO MARINO SAN
--
--
SAOTOME TOMEAND ANDPRINCIPE PRINCIPE SAO
2.6 2.6
--
648 648
SAUDIARABIA ARABIA SAUDI
2.7 2.7
--
380 380
SENEGAL SENEGAL
97.4 97.4
--
SERBIAAND ANDMONTENEGRO MONTENEGRO SERBIA
---
3.5 3.5
--
24.0 24.0
--
29+ 29+
--
--
--
14+ 14+
--
--
--
--
14.3 14.3
14+ 14+
--
--
--
--
15+ 15+
12.0 12.0
10.2 10.2
--
18+ 18+
--
12.1 12.1
23,679 23,679
25.1 25.1
25.6 25.6
--
--
37.6 37.6
--
--
15+ 15+
3.4 3.4
3.6 3.6
--
--
6.0 6.0
--
12,072 12,072
14.4 14.4
19.8 19.8
--
22.2 22.2
19.8 19.8
--
--
18+ 18+
0.6 0.6
1.5 1.5
--
1.7 1.7
1.0 1.0
--
7,439 7,439
43.8 43.8
42.3 42.3
--
--
--
--
36.0 36.0
15+ 15+
43.8 43.8
42.3 42.3
--
--
--
--
36.0 36.0
15+ 15+
35.0 35.0
12.2 13.1 13.1 12.2
(Serbia (Serbia only) only)
85 85
SEYCHELLES SEYCHELLES
5,743 5,743
SINGAPORE SINGAPORE
4,484 4,484
30.8 30.8
35.2 35.2 --
25.5 25.5
--
SLOVAKIA SLOVAKIA
5,390 5,390
41.6 41.6
41.6 41.6
SLOVENIA SLOVENIA
2,007 2,007
31.8 31.8
31.8 31.8
SOLOMONISLANDS ISLANDS SOLOMON SOMALIA SOMALIA
----
----
--
--
--
32.3 32.3
--
--
24.9 24.9
21.8 21.8
--
40.8 40.8
32.8 32.8
--
28.3 28.3
25.3 25.3
--
30.8 30.8
25–64 25–64 15+ 15+ 18–69 18–69
3.0 3.0 4.1 4.1 4.9 4.9
7.0 7.0
--
--
--
--
--
18+ 18+
20.1 20.1
20.1 20.1
21.1 21.1
21.1 21.1
--
----
--
--
--
10.3 10.3
--
--
4.1 4.1
3.5 3.5
--
3.9 3.9
25–64 25–64 15+ 15+ 18–69 18–69
---
29.9 23.9 23.9 29.9
---
---
SEYCHELLES SEYCHELLES
--
--
10.5 10.5
7.5 7.5
--
406 406
28.1 24.3 24.3 28.1
79.5 79.5
1,430 1,430
68.1 68.1
2,537 2,537
SLOVENIA SLOVENIA
--
SOLOMONISLANDS ISLANDS SOLOMON
SIERRALEONE LEONE SIERRA SINGAPORE SINGAPORE
14.3 14.3
30.0 30.0
18.4 18.4
16.8 16.8
18 18
--
21.4 23.9 23.9 21.4
--
--
--
--
--
--
--
--
--
--
23.0 23.0
--
--
--
15+ 15+
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
51.8 51.8
--
SOMALIA SOMALIA SOUTHAFRICA AFRICA SOUTH
--
18+ 18+
--
23.0 23.0
--
---
--
--
SAMOA SAMOA
(Serbia (Serbia only) only)
484 484
--
18+ 18+
SAINTKITTS KITTSAND ANDNEVIS NEVIS SAINT
8,445 8,445
--
--
COUNTRY
(annual per capita)
Girls
--
SENEGAL SENEGAL
SIERRALEONE LEONE SIERRA
6
Cigarette Secondhand Consumption Smoking: Youth exposed in home
--
SAUDIARABIA ARABIA SAUDI
SERBIAAND ANDMONTENEGRO MONTENEGRO SERBIA
3 Student Health Professionals’ Smoking Prevalence
Female Crude
Female Age Standardized
Current Cigarette Use
23.2 23.2
--
--
Daily Tobacco Smoking
29 29
SANMARINO MARINO SAN
--
Current Tobacco Smoking
155 155
SAINTKITTS KITTSAND ANDNEVIS NEVIS SAINT
SAOTOME TOMEAND ANDPRINCIPE PRINCIPE SAO
Adult Smoking Prevalence—Female (percentages)
Male Crude
Male Age Standardized
COUNTRY (thousands)
2
SLOVAKIA SLOVAKIA
SOUTHAFRICA AFRICA SOUTH
47,391 47,391
25.0 25.0
27.5 27.5
--
36.0 36.0
27.1 27.1
--
--
18+ 18+
7.8 7.8
9.1 9.1
--
10.2 10.2
8.2 8.2
--
--
18+ 18+
--
21.0 10.6 10.6 21.0
--
511 511
SPAIN SPAIN
44,121 44,121
36.4 36.4
36.4 36.4
--
40.0 40.0
34.1 34.1
--
--
18+ 18+
30.9 30.9
30.9 30.9
--
26.8 26.8
23.7 23.7
--
--
18+ 18+
37.0 37.0
23.6 32.3 32.3 23.6
--
2,225 2,225
SPAIN SPAIN
SRILANKA LANKA SRI
19,886 19,886
24.5 24.5
30.2 30.2
--
39.0 39.0
24.5 24.5
--
--
18+ 18+
0.4 0.4
2.6 2.6
--
2.6 2.6
1.6 1.6
--
--
18+ 18+
4.0 4.0
3.0 3.0
1.3 1.3
51.3 51.3
205 205
SRILANKA LANKA SRI
SUDAN SUDAN
37,707 37,707
--
--
--
23.5 23.5
--
--
--
adult adult
--
--
--
1.5 1.5
--
--
--
Adult Adult
--
10.2 10.2
2.1 2.1
28.4 28.4
75 75
SUDAN SUDAN
455 455
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
--
9.3 9.3
4.7 4.7
50.5 50.5
--
SURINAME SURINAME
SURINAME SURINAME SWAZILAND SWAZILAND
1,138 1,138
13.3 13.3
14.6 14.6
--
13.8 13.8
9.9 9.9
--
--
18+ 18+
2.8 2.8
3.2 3.2
--
3.3 3.3
2.1 2.1
--
--
18+ 18+
--
8.9 8.9
3.2 3.2
27.1 27.1
--
SWAZILAND SWAZILAND
SWEDEN SWEDEN
9,084 9,084
19.6 19.6
19.6 19.6
--
--
16.5 16.5
--
--
18–64 18–64
24.5 24.5
24.5 24.5
--
--
18.8 18.8
--
--
18–64 18–64
--
5.5 13.7 13.7 5.5
--
751 751
SWEDEN SWEDEN
15–65 15–65
22.2 22.2
22.2 22.2
26.0 26.0
19.0 19.0
SWITZERLAND SWITZERLAND SYRIANARAB ARABREPUBLIC REPUBLIC SYRIAN
7,491 7,491
30.7 30.7
30.7 30.7
19,408 19,408
42.6 42.6
44.0 44.0
6,640 6,640
TANZANIA,UNITED UNITEDREPUBLIC REPUBLICOF OF TANZANIA,
39,459 39,459
THAILAND THAILAND
--
--
--
--
51.0 51.0
47.0 47.0
--
--
--
--
--
20.5 20.5
24.8 24.8
63,444 63,444
37.1 37.1
39.8 39.8
--
TIMOR-LESTE TIMOR-LESTE
1,029 1,029
25.7 25.7
--
37.0 37.0
--
TOGO TOGO
6,410 6,410
--
--
--
--
100 100
61.8 61.8
61.8 61.8
--
--
1,328 1,328
32.2 32.2
36.4 36.4
--
29.8 29.8
TAJIKISTAN TAJIKISTAN
TONGA TONGA TRINIDADAND ANDTOBAGO TOBAGO TRINIDAD
--
---
35.0 35.0 --
24.0 24.0 --
15+ 15+ --
--
--
--
--
--
--
10.0 10.0
8.0 8.0
--
--
--
--
--
--
--
--
--
1.3 1.3
15–65 15–65 15+ 15+ --
--
17.0 17.0
--
--
--
--
23.0 23.0
1.7 1.7
4.3 4.3
--
40.2 40.2
--
11+ 11+
3.0 3.0
3.4 3.4
--
--
--
2.4 2.4
--
11+ 11+
--
30.5 30.5
--
NA NA
0.9 0.9
--
6.1 6.1
--
--
1.3 1.3
--
NA NA
--
--
--
--
--
--
--
--
--
--
--
--
--
--
52.9 52.9
--
15+ 15+
15.8 15.8
15.8 15.8
--
--
--
10.5 10.5
--
15+ 15+
--
--
--
--
15+ 15+
5.7 5.7
7.6 7.6
--
5.1 5.1
--
--
--
15+ 15+
--
25–64 25–64
--
--
--
--
--
25–64 25–64
---
1.0 1.0
12.9 13.0 13.0 12.9 8.1 8.1 1.5 1.5
3.1 3.1 0.5 0.5
--
1,698 1,698
--
1,067 1,067
SWITZERLAND SWITZERLAND SYRIANARAB ARABREPUBLIC REPUBLIC SYRIAN
54.5 54.5
--
TAJIKISTAN TAJIKISTAN
--
--
30.6 30.6
108 108
TANZANIA,UNITED UNITEDREPUBLIC REPUBLICOF OF TANZANIA,
17.4 17.4
4.8 4.8
47.8 47.8
634 634
50.6 17.3 17.3 50.6
65.1 65.1
--
20.2 20.2
306 306
THAILAND THAILAND TIMOR-LESTE TIMOR-LESTE
9.1 9.1
1.7 1.7
--
--
--
--
TONGA TONGA
14.7 10.3 10.3 14.7
40.7 40.7
1,337 1,337
TRINIDADAND ANDTOBAGO TOBAGO TRINIDAD
TOGO TOGO
TUNISIA TUNISIA
10,128 10,128
46.5 46.5
51.0 51.0
--
52.1 52.1
50.3 50.3
--
--
18+ 18+
1.0 1.0
1.9 1.9
--
2.0 2.0
1.9 1.9
--
--
18+ 18+
11.0 11.0
15.1 15.1
1.6 1.6
--
1,532 1,532
TURKEY TURKEY
72,975 72,975
51.6 51.6
51.6 51.6
--
52.0 52.0
49.9 49.9
--
--
18+ 18+
19.2 19.2
19.2 19.2
--
17.3 17.3
15.6 15.6
--
--
18+ 18+
33.0 33.0
9.4 9.4
3.5 3.5
89.0 89.0
1,499 1,499
TURKEY TURKEY
4,900 4,900
--
--
--
27.0 27.0
--
--
--
18+ 18+
--
--
--
1.0 1.0
--
--
--
18+ 18+
--
--
--
--
496 496
TURKMENISTAN TURKMENISTAN
12 12
--
--
--
51.0 51.0
--
--
--
20+ 20+
--
--
--
31.0 31.0
--
--
--
20+ 20+
--
33.2 22.1 22.1 33.2
74.8 74.8
--
TUVALU TUVALU
29,899 29,899
18.4 18.4
20.9 20.9
--
--
--
15–49 15–49
46,788 46,788
63.8 63.8
63.8 63.8
TURKMENISTAN TURKMENISTAN TUVALU TUVALU UGANDA UGANDA UKRAINE UKRAINE UNITEDARAB ARABEMIRATES EMIRATES UNITED UNITEDKINGDOM KINGDOM** UNITED UNITEDSTATES STATESOF OFAMERICA AMERICA UNITED URUGUAY URUGUAY UZBEKISTAN UZBEKISTAN
4,249 4,249 60,550 60,550
25.5 25.5 --
25.2 25.2
--
--
66.8 66.8
62.3 62.3
26.1 26.1
--
28.1 28.1
17.6 17.6
--
--
--
22 22
----
15+ 15+ 18+ 18+
1.5 1.5
3.2 3.2 22.7 22.7
1.6 1.6
--
3.3 3.3
--
--
19.9 19.9
16.7 16.7
--
2.4 2.4
--
--
15+ 15+
3.0 3.0 --
15–49 15–49
--
--
--
3.2 3.2
49.1 49.1
--
49.1 49.1
--
--
--
22.6 22.6
20.9 20.9
--
--
49.4 49.4
34.8 34.8
--
793 793
URUGUAY URUGUAY
--
317 317
UZBEKISTAN UZBEKISTAN
28.2 11.4 11.4 28.2
74.0 74.0
20+ 20+
8.1 8.1
8.1 8.1
5.0 5.0
--
15+ 15+
27.0 27.0
27.0 27.0
--
13.6 13.6
13.0 13.0
15+ 15+
--
--
18+ 18+
2.2 2.2
2.5 2.5
--
2.3 2.3
1.8 1.8
--
--
18+ 18+
11.0 11.0
--
--
55.3 55.3
--
29.0 29.0
--
--
--
adult adult
--
6.5 6.5
3.0 3.0
44.0 44.0
--
5.7 5.7
3.4 3.4
--
--
18+ 18+
--
--
--
--
--
5.0 5.0
--
1.4 1.4
18+ 18+
--
--
--
27.4 27.4
--
--
77.0 77.0
--
--
--
adult adult
--
--
21.7 21.7
--
22.7 22.7
15.3 15.3
--
--
18+ 18+
2.1 2.1
5.0 5.0
21.2 21.2
25.5 25.5
--
--
33.4 33.4
--
26.7 26.7
18+ 18+
2.0 2.0
4.4 4.4
--
--
--
UNITEDARAB ARABEMIRATES EMIRATES UNITED
51.1 51.1
--
--
--
--
18.0 18.0
13,228 13,228
--
20.3 27.4 27.4 20.3
37.4 37.4
21,732 21,732 11,696 11,696
20+ 20+
3.6 3.6
UGANDA UGANDA
UNITEDKINGDOM KINGDOM* * UNITED UNITEDSTATES STATESOF OFAMERICA AMERICA UNITED
18+ 18+
--
12.1 12.1
UKRAINE UKRAINE
790 790 1,196 1,196
--
0.9 0.9
45.7 45.7
1,092 1,092
--
41.1 41.1
--
--
32.5 32.5
--
2,526 2,526
26.5 26.5
16.4 22.9 22.9 16.4
23.4 23.4
--
49.1 49.1
--
70.1 70.1
12.1 13.9 13.9 12.1
--
28.4 28.4
--
42.9 42.9
4.0 4.0
4.0 4.0
--
1.2 1.2
32.5 32.5
6.6 6.6
--
7.0 7.0
18+ 18+
28.0 28.0
1.2 1.2
--
27.6 20.6 20.6 27.6
18+ 18+
28.0 28.0
15–59 15–59
18 18
--
16+ 16+
--
18+ 18+
--
221 221
20 20
--
--
--
22.6 22.6
84,108 84,108
--
--
--
27.3 27.3
--
--
* does not include data from Northern Ireland
20 20
1.4 1.4
---
33.8 33.8
--
27,021 27,021
--
2.6 2.6
--
38.8 38.8
--
16+ 16+
22.7 22.7
18+ 18+
---
23.9 23.9
--
15–54 15–54
--
37.1 37.1 24.2 24.2
--
--
--
--
37.1 37.1 24.2 24.2
--
22 22
--
--
3,315 3,315 26,540 26,540
299,400 299,400
TUNISIA TUNISIA
6.0 6.0
8.4 8.4
44.3 44.3
--
VANUATU VANUATU
622 622
VENEZUELA VENEZUELA
887 887 317 317
VIETNAM VIETNAM YEMEN YEMEN
71 71
ZAMBIA ZAMBIA
86 86
ZIMBABWE ZIMBABWE
* does not include data from Northern Ireland
105
16-Jun-03 16-Jun-03
45.25% 45.25%
22-Aug-03 22-Aug-03
Lowermiddle middle Lower
FIJI FIJI FINLAND FINLAND FRANCE FRANCE GABON GABON GAMBIA GAMBIA GEORGIA GEORGIA GERMANY GERMANY
29-Nov-04 29-Nov-04
17,915 17,915
Low Low
16-Jun-03 16-Jun-03
27-Jan-06 27-Jan-06
55,619 55,619
High High
_
_
__
__
__
29-Jun-04 29-Jun-04
14-Aug-07 14-Aug-07
1,967 1,967
Uppermiddle middle Upper
1,218
4,300
$1.89 $1.89
$1.78 $1.78
57.71% 57.71%
25-Sep-03 25-Sep-03
16-Nov-05 16-Nov-05
29,890 29,890
Lowermiddle middle Lower
__
_
85
$0.60 $0.60
$0.60 $0.60
28.25% 28.25%
1-Apr-04 1-Apr-04
7-Nov-07 7-Nov-07
51,927 51,927
Low Low
GUINEA GUINEA
__
_
_
__
__
__
__
7-Nov-08 7-Nov-08
814 814
Low Low
GUINEA-BISSAU GUINEA-BISSAU
100 100
0.0057 0.0057
90 90
12 12
118 118
549 549
108
650
$0.85 $0.85
$0.85 $0.85
45.79% 45.79%
__
15-Sep-05 15-Sep-05
9,818 9,818
Lowermiddle middle Lower
4,563 4,563
Low Low
0.0264 0.0264 __ 0.1117 0.1117
500 500
__
__
6,180 6,180
1,887 1,887
742 742
__
58,424 58,424
26,938 26,938
2,547 2,547
10,215 10,215
__
_
880
$0.55 $0.55
$0.55 $0.55
1,925 1,925
6,459
6,852
$1.20 $1.20
$0.90 $0.90
580 580
12,873
17,481
$3.72 $3.72
$4.15 $4.15
__
16-Feb-05 16-Feb-05
19,391 19,391
__
119,511 119,511
Lowermiddle middle Lower
HUNGARY HUNGARY ICELAND ICELAND
$8.75 $8.75
__
16-Jun-03 16-Jun-03
14-Jun-04 14-Jun-04
10,808 10,808
$1.97 $1.97
$1.57 $1.57
69.11% 69.11%
10-Sep-03 10-Sep-03
5-Feb-04 5-Feb-04
98,503 98,503
Lowermiddle middle Lower
INDONESIA INDONESIA
215,000 215,000
0.3033 0.3033
177,895 177,895
__
51,997 51,997
48,287
230,300 230,300
$0.90 $0.90
$1.24 $1.24
37.00% 37.00%
408
24,600
$1.82 $1.82
$0.48 $0.48
10.00% 10.00%
21,000 21,000 2,300 2,300
__ 57 57 __
954 954 __
30 30
__
29-Jun-04 29-Jun-04
2,481
1,686
$4.48 $4.48
$3.23 $3.23
82.42% 82.42%
94,298 94,298
11,748
18,248
$5.62 $5.62
$4.66 $4.66
75.17% 75.17%
1,325 1,325
0 0
1
940
$4.66 $4.66
$3.47 $3.47
45.16% 45.16%
24-Sep-03 24-Sep-03
19,000 19,000
0.4145 0.4145
38,000 38,000
17,460 17,460
98,767 98,767
7,378 7,378
49,761
185,900 185,900
$2.82 $2.82
$2.64 $2.64
63.00% 63.00%
2,900 2,900
0.2866 0.2866
2,100 2,100
__
__
91 91
3,664
14,993
$2.11 $2.11
$7.06 $7.06
51.79% 51.79%
5,000 5,000
0.0037 0.0037
13,500 13,500
3,097 3,097
2,461 2,461
5,816 5,816
16,091
20,000 20,000
11,505 11,505
60 60
20,058 20,058
12,415
15,000 15,000
__
__
KOREA, KOREA,DEM. DEM.PEOPLE’S PEOPLE’SREPUBLIC REPUBLICOF OF
45,000 45,000
KOREA, KOREA,REPUBLIC REPUBLICOF OF
15,000 15,000
__ 1.5082 1.5082 __
__
__
65,000 65,000
__
34,000 34,000
48,063 48,063
91 91 __ 481 481
__
_
_
$1.22 $1.22 $1.94 $1.94 __
$0.53 $0.53 $1.34 $1.34 __
26.00% 26.00%
High High
16,422 16,422
9-Mar-04 9-Mar-04
8-Jun-04 8-Jun-04
232,096 232,096
28-May-04 28-May-04
19-Aug-04 19-Aug-04
39,014 39,014
Lowermiddle middle Lower
6,028 6,028
Uppermiddle middle Upper
21-Jun-04 21-Jun-04
41.79% 41.79%
25-Jun-04 25-Jun-04
__
27-Apr-04 27-Apr-04
15,500
$2.66 $2.66
$0.71 $0.71
__
$2.48 $2.48
$2.15 $2.15
63.09% 63.09%
_
$1.68 $1.68
$3.00 $3.00
32.00% 32.00%
3,086
$0.83 $0.83
$0.83 $0.83
26.00% 26.00%
18-Feb-04 18-Feb-04
__
_
4,659 4,659
7,201 7,201
917
LAO PEOPLE’S LAO PEOPLE’SDEMOCRATIC DEMOCRATICREPUBLIC REPUBLIC
4,800 4,800
0.2736 0.2736
LATVIA LATVIA
30,834 10,000
High High
101,416 101,416
7-Jul-05 7-Jul-05
126,000 126,000
__
126 126
34,027 34,027 459 459
High High
Uppermiddle middle Upper High High
Low Low Lowermiddle middle Lower
IRAQ IRAQ IRELAND IRELAND ISRAEL ISRAEL ITALY ITALY JAMAICA JAMAICA JAPAN JAPAN JORDAN JORDAN KAZAKHSTAN KAZAKHSTAN KENYA KENYA KIRIBATI KIRIBATI
17-Jun-03 17-Jun-03
27-Apr-05 27-Apr-05
23,560 23,560
Low Low
21-Jul-03 21-Jul-03
16-May-05 16-May-05
27,059 27,059
High High
16-Jun-03 16-Jun-03
12-May-06 12-May-06
15,450 15,450
High High
25-May-06 25-May-06
2,248 2,248
Low Low
KYRGYZSTAN KYRGYZSTAN
5,236 5,236
Low Low
LAOPEOPLE’S PEOPLE’SDEMOCRATIC DEMOCRATIC REPUBLIC LAO REPUBLIC
KOREA,DEM. DEM.PEOPLE’S PEOPLE’SREPUBLIC REPUBLIC OF KOREA, OF KOREA,REPUBLIC REPUBLIC OF KOREA, OF KUWAIT KUWAIT
__
__
__
__
_
2,575
45.04% 45.04%
29-Jun-04 29-Jun-04
6-Sep-06 6-Sep-06
__
__
__
8,854 8,854
7,031 7,031
42 42
2,025
2,776
$0.80 $0.80
$1.35 $1.35
89.84% 89.84%
10-May-04 10-May-04
10-Feb-05 10-Feb-05
3,990 3,990
Uppermiddle middle Upper
LATVIA LATVIA
2.3196 2.3196
9,000 9,000
21 21
6,832 6,832
__
_
555
$1.44 $1.44
$0.50 $0.50
57.09% 57.09%
4-Mar-04 4-Mar-04
7-Dec-05 7-Dec-05
17,899 17,899
Uppermiddle middle Upper
LEBANON LEBAN
U N
O
O
O
H
U N
O
O
O
$0.46 $0.46
22-Jan-07 22-Jan-07 25-Jun-04 25-Jun-04 15-Sep-05 15-Sep-05
60,362 60,362
9,000 9,000
H
$1.18 $1.18
INDONESIA INDONESIA IRAN,ISLAMIC ISLAMICREPUBLIC REPUBLIC OF IRAN, OF
Lowermiddle middle Lower
48,035 48,035
2-Jul-08 2-Jul-08
_
__
13,400 13,400
Lowermiddle middle Lower Lowermiddle middle Lower
7,839 7,839
24-Aug-05 24-Aug-05
39,266
__
0.0511 0.0511
49,038 49,038
INDIA INDIA
25,462 25,462
7-Nov-05 7-Nov-05
20-Jun-03 20-Jun-03 16-Jun-03 16-Jun-03
__
__
5,800 5,800
__
6-Nov-05 6-Nov-05 17-Mar-08 17-Mar-08
16-Sep-03 16-Sep-03
4,093 4,093
__
KYRGYZSTAN KYRGYZSTAN
KUWAIT KUWAIT
78.38% 78.38%
16-Jun-03 16-Jun-03
__
77,914 77,914
38 38
KIRIBATI KIRIBATI
$9.59 $9.59
__
6,178 6,178
95 95
1,800 1,800
KAZAKHSTAN KAZAKHSTAN
$9.59 $9.59
$1.00 $1.00
33 33
110,000 110,000
__
KENYA KENYA
3,683
$1.50 $1.50
77
00
__
JAPAN JAPAN
6,021
5,000
__
0.0000 0.0000
1,200 1,200
JORDAN JORDAN
1 1
_
__
00 35,000 35,000
JAMAICA JAMAICA
3,728 3,728
1,911 1,911
__
ISRAEL ISRAEL
HAITI HAITI HONDURAS HONDURAS HONG KONG HONG KONG
High High
$8.03 $8.03
98,000
ITALY ITALY
GUYANA GUYANA
High High
_
1,273
IRELAND IRELAND
34,634 34,634
GHANA GHANA GREECE GREECE GRENADA GRENADA GUATEMALA GUATEMALA
High High
7-Apr-04 7-Apr-04
_
158,254 158,254
0.4147 0.4147
73.93% 73.93%
__
__
683 683
0.0040 0.0040
$3.04 $3.04
23-Jul-03 23-Jul-03
16-Jun-03 16-Jun-03
379 379
2,240 2,240
1,700 1,700
$3.06 $3.06
18-Jun-04 18-Jun-04
__
552,200 552,200
20,000 20,000
8,132
__
__
0.2034 0.2034
IRAQ IRAQ
3,543
__
__
380,000 380,000
IRAN, ISLAMIC IRAN, ISLAMICREPUBLIC REPUBLICOF OF
2,593 2,593
29.71% 29.71%
__
INDIA INDIA
HUNGARY HUNGARY ICELAND ICELAND
9,145 9,145
20-Jun-03 20-Jun-03
Low Low
__
0.1417 0.1417
67.50% 67.50% 73.47% 73.47%
Uppermiddle middle Upper
4,476 4,476
__
$0.55 $0.55 $3.42 $3.42
High High
__
450 450
$1.00 $1.00 $3.77 $3.77
Uppermiddle middle Upper High High
High High
__
6,000 6,000
1,500 32,538
2,717 2,717
__
4,200 4,200
338 34,016
2,573 2,573
775 775
HONDURAS HONDURAS
190 190 86,402 86,402
169,804 169,804
__
HONG KONG HONG KONGSAR, SAR,CHINA CHINA
118 118 12,575 12,575
__
__
HAITI HAITI
27 27
19-Oct-04 19-Oct-04 18-Sep-07 18-Sep-07
83 83
103
102
80.39% 80.39%
1,736 1,736
PARAGUAY PARAGUAY
21,590 21,590
QATAR QATAR
13.4 13.4
42.5 42.5 28.7 28.7
__ __
18,500 18,500
NORWAY NORWAY
--
38.9 38.9 43.9 43.9
10,589 10,589
--
31.0 31.0 22.6 22.6
493 493
--
86,264 86,264 38,129 38,129
PORTUGAL PORTUGAL
--
--
33.0 33.0
PHILIPPINES PHILIPPINES POLAND POLAND
23.5 23.5
15.4 15.4 19.9 19.9
$6.92 $6.92
__
NIUE NIUE
30.4 30.4
2,546 2,546
6,202 6,202
--
13.0 13.0 23.9 23.9
159,000 159,000
27,589 27,589
16–74 16–74
22.5 22.5 24.3 24.3
__ __
__
NAURU NAURU
274 274
--
--
---
$7.26 $7.26
2,500 2,500
NAMIBIA NAMIBIA
--
84.7 84.7
--
--40.6 40.6
_ _
1,800 1,800
MONACO MONACO
---
430 430
--
15–64 15–64 15+ 15+
64.2 64.2 96.2 96.2
2.1 2.1 3.2 3.2
--
--
19.5 19.5
--
4.0 4.0 5.0 5.0
--
--
--
--
MOLDOVA,REPUBLIC REPUBLICOF OF MOLDOVA,
4.3 4.3
--
--
--
2,239 2,239
--
6.0 6.0
--
16–74 16–74
--
62.3 62.3
6.0 6.0
--
14.4 14.4
19.0 19.0
--
--
27.5 27.5
--
29.7 29.7
--
30.3 30.3
27.5 27.5
23.0 23.0
-13.0 13.0
25–64 25–64
--
33.6 33.6
30.3 30.3
15+ 15+
---
18+ 18+ 18+ 18+
--
33.6 33.6
15+ 15+
0.2 0.2
---
--
--
--
3.4 3.4 13.6 13.6
--
--
4.1 4.1
0.3 0.3
1.6 1.6 11.7 11.7
MICRONESIA,FEDERATED FEDERATEDSTATES STATESOF OF MICRONESIA,
29.7 29.7
PALAU PALAU
RUSSIAN RUSSIAN FEDERATION FEDERATION
--
--
30.3 30.3
MEXICO MEXICO
--
5,532 5,532
4,660 4,660
--
--
---
470 470
13,737 13,737
NIUE NIUE
RWANDA RWANDA
--
43.1 43.1
--
--
NETHERLANDS NETHERLANDS
ROMANIA ROMANIA
---
38.8 38.8
NAURU NAURU
--
48.4 48.4
--
22.0 22.0 46.5 46.5
20.0 20.0 43.6 43.6
PARAGUAY PARAGUAY
--
--
29.5 29.5
20,971 20,971 48,379 48,379
PERU PERU
--
45.8 45.8
--
26.1 26.1
MOZAMBIQUE MOZAMBIQUE MYANMAR MYANMAR
PANAMA PANAMA
--
--
45.8 45.8
601 601 30,497 30,497
MONTENEGRO MONTENEGRO
46.9 46.9 60.6 60.6
25,033
37,252 37,252
MALI MALI
--
36.9 19.8 19.8 36.9
10
21,500 21,500
MALDIVES MALDIVES
--
1,287 1,287
16.3 16.3 35.7 35.7
2,059
__
MALAYSIA MALAYSIA
--
--
3,044 3,044 1,253 1,253
MONACO MONACO
646 646
---
MAURITANIA MAURITANIA
86,005
__
0.6504 0.6504
LIBERIA LIBERIA
--
6.2 6.2
__
0.1985 0.1985
LITHUANIA LITHUANIA
--
70 70
0.0159 0.0159
LIBYANARAB ARABJAMAHIRIYA JAMAHIRIYA LIBYAN
2.3 2.3
MAURITIUS MAURITIUS
MICRONESIA, FEDERATED FEDERATED STATES STATES OF OF MICRONESIA,
--
860 860 920 920
__
__
__
LESOTHO LESOTHO
--
--
45.8 45.8
--
--
--
--
--
---
--
39.1 39.1
--
--
--
--
--
32.0 32.0
45.1 45.1
39.1 39.1
380 380
9,500 9,500
Girls
16.6 16.6
---
45.1 45.1
462 462 2,036 2,036
__
ERITREA ERITREA
2,100 2,100
GUINEA-BISSAU GUINEA-BISSAU GUYANA GUYANA
COUNTRY
(annual per capita)
3,395 3,395
--
--
(percentages)
638 638
EQUATORIAL GUINEA EQUATORIAL GUINEA
GUATEMALA GUATEMALA
Cigarette Secondhand Consumption Smoking: Youth exposed in home
3,579 3,579
MALAWI MALAWI
--
Current Cigarette Use
6,039 6,039
--
--
Current Tobacco Use
LITHUANIA LITHUANIA
--
--
Current Cigarette Use
LIBERIA LIBERIA
--
--
Age Range
Daily Cigarette Use
Student Health Professionals’ Smoking Prevalence
Female Crude
Female Age Standardized
Current Cigarette Use
LIBYAN ARAB ARAB JAMAHIRIYA JAMAHIRIYA LIBYAN
LUXEMBOURG LUXEMBOURG
--
Daily Tobacco Smoking
Current Tobacco Smoking
Current Tobacco Use
3
Adult Smoking Prevalence—Female (percentages)
Male Crude
Male Age Standardized (thousands)
__
__ __
108
Adult Smoking Prevalence—Male (percentages)
Population
__
High High Low Low
GUINEA GUINEA
GRENADA GRENADA
101
Table a THe DeMOGRapHICS OF TObaCCO
COUNTRY
__
__
LEBANON LEBANON
100
PAPUA PAPUA NEW NEW GUINEA GUINEA
6,833 6,833 84,592 84,592
720 720 4,500 4,500
GABON GABON GAMBIA GAMBIA
-
PALESTINIAN PALESTINIAN TERRITORY, TERRITORY, OCCUPIED OCCUPIED
3-Oct-03 3-Oct-03 24-Jan-05 24-Jan-05
16-Jun-03 16-Jun-03
GEORGIA GEORGIA GERMANY GERMANY
-
-
PAKISTAN PAKISTAN
3-Oct-03 3-Oct-03 16-Jun-03 16-Jun-03
__
GEORGIA GEORGIA GERMANY GERMANY
876
-
NORWAY NORWAY
__
75.07% 75.07%
1,040
-
23.9
OMAN OMAN
$5.75 $5.75
-
95.0
-
-
NIGERIA NIGERIA
$3.01 $3.01
-
12.9
-
NICARAGUA NICARAGUA
$5.89 $5.89
-
35.5
-
NIGER NIGER
$3.01 $3.01
-
-
-
NEW NEW ZEALAND ZEALAND
403
-
18+
-
NAMIBIA NAMIBIA
700
15+
-
-
MOROCCO MOROCCO
25
-
-
-
MONGOLIA MONGOLIA
75
-
4.1
-
MOLDOVA, REPUBLIC REPUBLIC OF OF MOLDOVA,
__
-
5.4
-
MEXICO MEXICO
0 0 33,050 33,050
4.4
-
-
MALI MALI
52 52 6,669 6,669 118,528 118,528
-
6.3
10.2
MACEDONIA, FORMER FORMER YUGOSLAV YUGOSLAV REP. REP. MACEDONIA,
13 13 139 139 29,166 29,166
2.9
6.3
24.5
LESOTHO LESOTHO
310 310
__
FRANCE FRANCE
24.4 26.7
-
0.5
18+
63.6
KUWAIT KUWAIT
__
FINLAND FINLAND
FRANCE FRANCE
24.4 26.7
15+
-
JORDAN JORDAN
500 500
FIJI FIJI
FINLAND FINLAND
15–64 12–75 -
-
-
JAMAICA JAMAICA
ETHIOPIA ETHIOPIA
-
-
JAPAN JAPAN
ESTONIA ESTONIA
Low Low
754 754
-
-
ISRAEL ISRAEL
High High
4,001 4,001
-
-
ITALY ITALY
4,232 4,232
__
-
24.5
IRELAND IRELAND
27-Jul-05 27-Jul-05
25-Feb-04 25-Feb-04
-
739
IRAN, ISLAMIC ISLAMIC REPUBLIC REPUBLIC OF OF IRAN,
8-Jun-04 8-Jun-04
45.04% 45.04%
-
108
IRAQ IRAQ
91.50% 91.50%
$0.42 $0.42
-
1,646
INDIA INDIA
$1.95 $1.95
$1.55 $1.55
-
9,181
INDONESIA INDONESIA
$2.22 $2.22
3,400
-
13,029 13,029
HUNGARY HUNGARY
1,600
1,486
50.4
GUINEA-BISSAU GUINEA-BISSAU
HONDURAS HONDURAS
__
0
__
26.0
GUYANA GUYANA
HONG KONG KONG SAR, SAR, CHINA CHINA HONG
__
__
300 300
28.2
GUINEA GUINEA
HAITI HAITI
__
3,511 3,511
__
-
GRENADA GRENADA GUATEMALA GUATEMALA
__
__
11 11
58.1
7.1
956
__
__
__
38.5
-
-
607 607
DJIBOUTI DJIBOUTI
ECUADOR ECUADOR
__
32.9
63.6
32.2 26.7
DOMINICAN REPUBLIC DOMINICAN REPUBLIC
33.3
11,147 11,147
28.3 26.0
DOMINICA DOMINICA
Lowermiddle middle Lower
-
82,375 82,375
33.0
Lowermiddle middle Lower Uppermiddle middle Upper
-
-
15–64
1,986 1,986 3,043 3,043 10,319 10,319
-
-
12–75
__
-
23,008 23,008
-
32.04% 32.04% 50.85% 50.85%
31-Jul-05 31-Jul-05 24-Jul-06 24-Jul-06
-
GREECE GREECE
-
__
29-Jun-04 29-Jun-04
3,000 3,000
__
__
13-May-04 13-May-04
-
GHANA GHANA
18.0
32.04% 32.04%
29.3 57.1
21.7
29.00% 29.00%
31.8
57.1
24.5
__
__
_
__
__
$0.50 $0.50
0.0133 0.0133
_
_
__
__
__
_
__
$0.61 $0.61
4,500 4,500
__
__
_
ESTONIA ESTONIA
ERITREA ERITREA
__
_ 2,940
ETHIOPIA ETHIOPIA
EQUATORIAL EQUATORIALGUINEA GUINEA
__
_
36.6
17.2
26.5
__
0
31.8
4,433
-
ELEL SALVADOR SALVADOR
__
_
(World Bank, July 2008)
__
__ 0.2485 0.2485
4,100 4,100
66
__
2008
__
__ 9,000 9,000
EGYPT EGYPT
__
COUNTRY
ECUADOR ECUADOR
DOMINICA DOMINICA
__
Country Income Classification
DOMINICAN DOMINICANREPUBLIC REPUBLIC
36.6
1,311 1,663
GEORGIA GEORGIA
-
-
DJIBOUTI DJIBOUTI
27.5 5.1
-
-
Signed
5,266
GERMANY GERMANY
-
-
as a proportion of retail price
61,257 61,257
GABON GABON GAMBIA GAMBIA
-
-
2 Tobacco Trade
Tobacco Harvest Area
DJIBOUTI DJIBOUTI
-
-
17.5 23.9
ZIMBABWE ZIMBABWE
__ __
Girls
-
-
15.7 23.6
YEMEN YEMEN
__ __
1
9,615
DOMINICAN DOMINICAN REPUBLIC REPUBLIC
ZAMBIA ZAMBIA
__ __
Growing Tobacco
COUNTRY
13,202 13,202
DOMINICA DOMINICA
VIETNAM VIETNAM
__ __
CHAD CHAD
Table b THe bUSINeSS OF TObaCCO
6
Cigarette Secondhand Consumption Smoking: Youth exposed in home
Female Crude
Female Age Standardized
ECUADOR ECUADOR
DJIBOUTI DJIBOUTI
VANUATU VANUATU
300 300 4,000 4,000
Low Low
106 2 Adult Smoking Prevalence—Female (percentages)
2 Adult Smoking Prevalence—Male (percentages)
Population
VENEZUELA VENEZUELA
17,296 17,296
99
Table a THe DeMOGRapHICS OF TObaCCO
104
30-Jan-06 30-Jan-06
0.0066 0.0066
27,500 27,500
CYPRUS CYPRUS CZECHREPUBLIC REPUBLIC CZECH
22-Jun-04 22-Jun-04
0.0373 0.0373
20,000 20,000
CROATIA CROATIA CUBA CUBA
33.25% 33.25%
700 700
75 75
COTED’IVOIRE D’IVOIRE COTE
$0.60 $0.60
8,200 8,200 __
COOKISLANDS ISLANDS COOK COSTARICA RICA COSTA
$0.60 $0.60
CANADA CANADA
$2.88 $2.88 $2.04 $2.04
COLOMBIA COLOMBIA
--
__
BURUNDI BURUNDI
CENTRALAFRICAN AFRICANREPUBLIC REPUBLIC CENTRAL
18,200 18,200
479 479
39.3 39.3
__
Low Low
2,158,200 2,158,200
--
6.9 6.9
__
7,624 7,624
4,905 4,905
--
13.5 13.5
__
7-Nov-05 7-Nov-05
82,390 82,390
--
--
11.8 11.8
29-Dec-03 29-Dec-03
274 274
26.0 26.0
18+ 18+
771 771
31.97% 31.97%
CAMBODIA CAMBODIA CAMEROON CAMEROON
CAPEVERDE VERDE CAPE
147,028 147,028
18–69 18–69
--
5,437 5,437
__
BULGARIA BULGARIA BURKINAFASO FASO BURKINA
123 123
--
--
4,441 4,441
__
Lowermiddle middle Lower Lowermiddle middle Lower
3,836 3,836
--
15.0 15.0
4,399 4,399
__
Low Low High High
5,758 5,758
11.3 11.3
17.0 17.0
10,270 10,270
__
989 989
24,513 24,513
CHINA CHINA
--
--
11,267 11,267
__
6,573 6,573
8,349 8,349
1,646 1,646
--
13.5 13.5
18,914 18,914
__
262,312 262,312
4-Oct-05 4-Oct-05
2,746,193 2,746,193
47.0 47.0
--
5.0 5.0
DENMARK DENMARK
__
Low Low Low Low
11,675 11,675
26-Nov-04 26-Nov-04
0.0003 0.0003
6.0 6.0
--
18+ 18+
CYPRUS CYPRUS
475 475
Uppermiddle middle Upper
2,393 2,393 1,443 1,443
3-Feb-06 3-Feb-06
15-Jul-03 15-Jul-03 17-Feb-04 17-Feb-04
0.2453 0.2453
15–69 15–69
18–69 18–69
--
CZECHREPUBLIC REPUBLIC CZECH
0.0115 0.0115
15-Nov-05 15-Nov-05
23,118 23,118
25-May-04 25-May-04 13-May-04 13-May-04
0.0203 0.0203
909 909
15–69 15–69
--
--
CROATIA CROATIA
22-Nov-05 22-Nov-05
19.80% 19.80% 38.70% 38.70%
150 150
60.6 60.6
--
--
CUBA CUBA
31-Jul-06 31-Jul-06
16-Jun-03 16-Jun-03
600 600
__
7-Nov-05 7-Nov-05
22-Dec-03 22-Dec-03
20.04% 20.04%
$0.85 $0.85
55.53% 55.53%
22-Dec-03 22-Dec-03
69.27% 69.27%
__
$1.00 $1.00
$0.65 $0.65
27.25% 27.25%
$0.78 $0.78 $8.08 $8.08
__
4,150 4,150
$0.65 $0.65
81.56% 81.56%
$1.44 $1.44 $8.05 $8.05
40 40
__
1,360 1,360
$0.65 $0.65
1,689 1,689 25,146 25,146
28 28
__
135 135
$0.65 $0.65
131 131 5,591 5,591
__
180 180
522 522
__
512 512 14,381 14,381
51 51
3,000 3,000
15+ 15+
57.4 57.4
24.1 24.1
CHILE CHILE
353 353 17,780 17,780
__
687 687 17,392 17,392
99
BENIN BENIN
BRAZIL BRAZIL BRUNEIDARUSSALAM DARUSSALAM BRUNEI
1,401,200 1,401,200
--
--
26.8 26.8
27.8 27.8
COSTARICA RICA COSTA
--
169 169 197 197
__
33
8,071 8,071
__
High High
BHUTAN BHUTAN
CHINA CHINA
43.6 43.6
---
--
--
176 176
4,500 4,500 43,000 43,000
__
Low Low
CHILE CHILE
--
---
COTED’IVOIRE D’IVOIRE COTE
--
1,075 1,075
770 770 14,231 14,231
0.0237 0.0237
CENTRALAFRICAN AFRICANREPUBLIC REPUBLIC CENTRAL
--
--
500 500
0.0417 0.0417 0.1527 0.1527 0.0371 0.0371
__
CHAD CHAD
59.5 59.5
CONGO,DEMOCRATIC DEMOCRATICREPUBLIC REPUBLICOF OF CONGO,
--
0.0101 0.0101
8,500 8,500 3,400 3,400
CAPEVERDE VERDE CAPE
27.7 27.7
COOKISLANDS ISLANDS COOK
--
0.7762 0.7762
1,050 1,050 970 970
CANADA CANADA
__
16,500 16,500
CAMBODIA CAMBODIA CAMEROON CAMEROON
--
--
29,900 29,900
BURUNDI BURUNDI
22.7 22.7
CONGO CONGO
---
BULGARIA BULGARIA BURKINAFASO FASO BURKINA
614 614
3.7 3.7
3.7 3.7
BRAZIL BRAZIL BRUNEIDARUSSALAM DARUSSALAM BRUNEI
45,558 45,558
59.5 59.5
33.6 33.6
BOTSWANA BOTSWANA
COLOMBIA COLOMBIA
1,311,800 1,311,800
--
BOSNIAAND ANDHERZEGOVINA HERZEGOVINA BOSNIA
COMOROS COMOROS
CHILE CHILE CHINA CHINA
Tobacco da a co ec ed rom Wor d Lung Founda on and Amer can Cancer Soc e y Now us have o rans a e a h s n orma on coun ry by coun ry Easy peasy (no rea y )
$1.83 $1.83
ANDORRA ANDORRA
COUNTRY COUNTRY
(WorldBank, Bank, (World July2008) 2008) July
44
17,500 17,500
--
--
CountryIncome Income Country Classification Classification
10 10 18,592 18,592
--
---
--
Low Low
2008 2008
00
19.7 19.7
--
3,175 3,175
1,217 1,217
--
3.8 3.8 1.8 1.8
__
4,220 4,220
3.0 3.0
3.1 3.1
29-Jun-04 29-Jun-04
1,266 1,266
23.0 23.0
--
onthe the on Legacy Legacy Website Website
__
asasa a proportionofof proportion retailprice price retail of Cigarette Price
11
15.4 15.4
--
Ratified Ratified acceded ororacceded
$0.40 $0.40
44
--
24.1 24.1
--
Signed Signed
(USDper perpack) pack) (USD
$0.40 $0.40
2,000 2,000
--
21.1 21.1
24.1 24.1
LocalBrand Brand Local
(USDper per (USD pack) pack)
__
6,889 6,889
--
21.1 21.1
--
Marlborooror Marlboro Equivalent Equivalent
(millions,2007 2007 (millions, latest) ororlatest)
__
0.1336 0.1336
--
16+ 16+ 15+ 15+
--
Cigarettes Cigarettes Manufactured Manufactured
(metrictons, tons, (metric 2006) 2006)
__
0.0119 0.0119
--
---
--
TobaccoLeaf Leaf Tobacco Imports Imports
(metrictons, tons, (metric 2006) 2006)
1,200 1,200
25.4 25.4
--
---
--
7
Tobacco Industry Documents
TobaccoLeaf Leaf Tobacco Exports Exports
__
5,500 5,500
3.0 3.0
--
28.0 28.0
--
6
WHO FCTC
Cigarette Cigarette Imports Imports (millions, (millions, 2004–2007) 2004–2007)
__
ALBANIA ALBANIA
3.8 3.8
2.3 2.3
56.8 56.8 32.5 32.5
--
5
Tax
Price
Cigarette Cigarette Exports Exports (millions, (millions, 2002–2007) 2002–2007)
__
ALGERIA ALGERIA
2.9 2.9
--
15+ 15+
---
--
4
Manufacturing
Tobacco Tobacco Produced Produced (metrictons, tons,2006) 2006) (metric
__
__
AFGHANISTAN AFGHANISTAN
3
Tobacco Trade
AgriculturalLand Land Agricultural underTobacco Tobacco under (percentofoftotal, total,2005) 2005) (percent
TobaccoHarvest Harvest Tobacco Area Area
Girls
11.9 11.9
--
2
Growing Tobacco
COUNTRY COUNTRY
COUNTRY
(annual per capita)
--
40.1 40.1
0.9 0.9
Table b THe bUSINeSS OF TObaCCO
6
(percentages)
43.0 43.0
16+ 16+
--
--
2.4 2.4
5
Cigarette Secondhand Consumption Smoking: Youth exposed in home
(percentages national data)
25–64 25–64
--
--
--
25.4 25.4
63.7 63.7
--
--
--
--
--
23.5 23.5
30.1 30.1
--
--
--
--
--
10.0 10.0
--
--
--
63.7 63.7
--
--
--
--
30.1 30.1
--
19.3 19.3
17.0 17.0
3.7 3.7
4 Youth Smoking Prevalence
(percentages)
Boys
--
298 298
--
--
Age Range
Daily Cigarette Use
Current Cigarette Use
4.0 4.0
9,733 9,733
BELGIUM BELGIUM
Daily Tobacco Smoking
Current Tobacco Smoking
--
10,541 10,541
BELARUS BELARUS
18.4 18.4
14+ 14+
Current Tobacco Use
4.0 4.0
BELIZE BELIZE
BARBADOS BARBADOS
16.9 16.9
Current Any Tobacco Use
--
--
18+ 18+
AZERBAIJAN AZERBAIJAN
AUSTRALIA AUSTRALIA
Current Cigarette Use
Student Health Professionals’ Smoking Prevalence
Female Crude
Female Age Standardized
Current Cigarette Use
3
Adult Smoking Prevalence—Female (percentages)
Male Crude
Male Age Standardized (thousands)
2
Adult Smoking Prevalence—Male (percentages)
Population
COUNTRY
Tobacco as medicine Tobacco consumption has raised among developing countries and on decline among developed nations recently. Tobacco industry is one of the major revenue (tax payer) income to many countries in the world. The plant had been smoked as part of ritual practices in North, Central and South America well before it began to be cultivated, during the period from 5000 to 3000 BCE. The Mayas, the Aztecs and the Caribs, and numerous other people in the Western Hemisphere, smoked one form of tobacco or another. The smoke also served as the food for the spirits that inhabited the shamans. The dried leaves were from the plant Nicotiana Tabacum, but the Spaniards misheard its indigenous name as tabaco, which was actually the tube or pipe in which the Indians smoked the plant. The plant was already
widely cultivated throughout the Americas in the form of Nicotiana rustica. In the life of the ancient – and to some degree also of the contemporary – human, religion, superstition and medicine cannot be completely dissociated. This principle certainly appears to be true with tobacco. When Spaniard arrived in Yucatán, they found a rich medical lore among the Mayas. The Mayas believed that supernatural forces set ailments as a punishments for their sins, and it was to the gods that they prayed for to cure. For the Mayas, religion and medicine, priest and physicians were inseparable. A considerable body of medical literature was written on Maya medicine. Unfortunately the earliest manuscripts date only from the eighteen century. Tobacco as a remedy for physical and mental ills in mentioned in the Princeton Codex, or, as it is better known, Ritual of the Bacabs. It contain a mixture of incantations and straightforward medical prescriptions. It recommends tobacco for toothaches, chills, lung, kidney and eye diseases, and so on.
For eruptions, fever and seizures, it is to be drunk with two peppers, a little honey and a little tobacco juice. Another famous Maya medical treatise is the Herbs and Magic Spells of Yucatán, where tobacco, specially its green leaves, is the ingredient in various concoctions for such maladies as lack of strength, pain in the heart, recurring chills, convulsion, loss of speech, sore eye, buboes, various kinds of pox, and retention of urine. Tobacco is also listed as a medicine to prevent miscarriage: it was mixed with lime and them smeared on the abdomen and massage into it. In the Maya community of Cham Kom, present-day use of tobacco is curing ceremonies has been reported. A widely practised ‘curing’ with tobacco can be seen by travellers in Petén. It is thought to be an excellent remedy for scorpion and tarantula bites. But unfortunately, this plant had fallen in the hands of greedy people, that wants to profit no matter the circumstances, transforming tobacco into something else. Now a day, commercial tobacco is mainly smoked and mixed with chemicals, inverting any medicinal properties.
2
UAL-LCC-LUC01073058
LEO LUCAS-07947315710
– Great Mayan myth (6000 BCE) b
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Jacobs, Frank. (2009) Strange maps: An atlas of cartography curiosities. New York, Viking Studios.
Tufte, Edward R. (1990) Envisioning Information. Cheshire, Graphic Press. Whitfield, Peter. (1994) The image of the world: 20 centuries of world maps. London, The British Library.
Smoking Bans, Cigarette Consumption, Tobacco Companies, Cost to the Economy, Cost to the Smoker, Tobacco Farming, Female Smoker, Health Risks, Health Professionals Smoker, Male Smoker, Tobacco Marketing Bans, Tobacco Mortality, Tobacco Product Labelling, Quitting Smoking, Secondhand Smoking, Tobacco Taxes and Prices, Tobacco Trade, Types and Uses of Tobacco, Tobacco History (6000 BCE – 1900), and European 1st Contact with Tobacco.
Sagmeister, Stefan. (2005) Things I have learned in my life so far. New York, Abrams.
ROLLED CONTENT:
Lynn, Bernadette. (2004) The development of the western alphabet. [Internet] BBC: h2g2. Available from <http://www.bbc.co.uk/dna/h2g2/ A2451890> [Accessed 20 April 2010]
World of Tobacco
Text: Helvetica regular and bold (10 pts), tracking (0), kerning (optical), leading (12 pts).
Harmon, Katharine. (2004) You are here: Personal geographies and other maps of the imagination. New York, Princeton Architectural Press.
WARNING: The content of this box has been structured with no intention to ask people to stop smoking, neither asking people to smoke more than usual. Instead it has been designed to give interesting visual information to the public about the history, production, trade and other curiosities of a product that have been around longer than the alphabet.
Cover: Helvetica bold (50 pts), tracking (50), kerning (optical), leading (50 pts).
World of Tobacco
LEO LUCAS-07947315710
Gilman, Sander L. & Xun, Zhou. (2004) Smoke: A global history of smoking. London, Reaktion Books.
UAL-LCC-LUC01073058
Header: Helvetica regular (11 pts), tracking (50), kerning (optical), leading (11 pts).
Fawcett-Tang, Roger. (2008) Mapping graphic navigational system. Singapore, RotoVision.
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Subheading/Text: Helvetica regular (9 pts), tracking (0), kerning (optical), leading (10 pts).
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Dimensions: 210mm x 420mm / 45g white paper.
“ In ancient times, when the land was barren and the people
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were starving, the Great Spirit sent forth a woman to save
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humanity. As she traveled over the world everywhere her
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Fi
Maps x 20
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Dimensions: 217mm x 35mm x 140mm / matt white paper and thick white card board.
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Brandt, Allan M. (2007) The cigarette century: The rise, fall and deadly persistence of the product that defined America. New York, Basic Books.
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”
Dexter, Emma. (2005) Vitamin D: New perspectives in drawing. London, Phaison Press.
right hand touched the soil, there grew potatoes. And every-
Box
where her left hand touched the soil, there grew corn. And in
Project Bibliography
the place where she had sat, there grew tobacco.
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