GROWTH IN NON VEGETARIAN FOOD CONSUMPTION BY 2014 AND IT’S IMPACT ON ANIMAL HEALTH INPUTS WITH PARTICULAR REFERENCE TO PROBIOTICS

1. GROWTH IN NON VEGETERIAN FOOD
CONSUMPTION BY 2014 AND IT’S IMPACT ON
ANIMAL HEALTH INPUTS WITH PARTICULAR
REFERENCE TO PROBIOTICS
I. PREAMBLE
Production and consumption of Non vegetarian food are increasing every year in spite of
some health conscious by birth non vegetarians are avoiding non vegetarian food
Kalyan Chakravarthy, country head of the food and agriculture division of Yes Bank says
that in China and India, the youth and high-income population is adapting to meat.
Current global livestock production is growing more dynamically than any other
agricultural sector around the world; livestock are now the world's largest land user
(FAOa 2001).
According to the agriculture ministry, meat production in India has been growing at a
compounded annual growth rate (CAGR) of 5 per cent over the past 15 years.
Trends have shown that non vegetarian food consumption in India has gone up from
once a week to three times.
According to International Food Policy Research Institute (IFPRI), per capita meat
consumption in India could reach 18 kg in 2020, compared to 10-12 kg now.
At present, in India
 Per capita availability of meat is 1.6 kg.
 Per capita availability of egg is 1.8 kg or 42 eggs.
 Average consumption of eggs in major cities is 170 eggs
 Average consumption of eggs in smaller cities is 40 eggs
 Average consumption of developed rural areas is 20 eggs
 Average consumption of undeveloped rural areas is only 5 eggs.

2.  While 20% of Indian population is vegetarian.
Driven by population, income increases, rapid urbanization, and changing dietary habits,
there is an unprecedented expansion of the livestock industry throughout the developing
world where per capita meat production is expected to increase by nearly 50% between
2000 and 2020. Global meat demand is expected to grow by 35% and milk demand by
25% over the same period.
The increase in consumption of non vegetarian food is largely owing to the following
facts.
1. In developing countries, Governments are providing midday meal to school going
children where Eggs are provided periodically.
2. Compared to Vegetables, prices of Eggs are low in several countries.
3. Dining out is becoming a regular habit and while dining in restaurants people try
several non vegetarian dishes.
4. With the increase in earning and purchasing capacities, people are tending towards
Non vegetarian food.
5. Urbanization. Rural folk moving to cities are more prone for increased intake of meat
and eggs.
Demand for meat worldwide is forecast to rise more than 55 per cent between 1997 and
2020, with China alone accounting for more than 40 per cent of this increase, and India,
4 per cent, according to IFPRI.
(http://www.businessworld.in/index.php/Commodities/Meat-Of-The-Matter.html)
By the year 2020, it is estimated that there will be some 800 million additional people to
feed on the planet. This together with higher income for food spending will put a
tremendous demand on crop production.
The USDA reports that animals cycled through the U.S. meat industry produce 61 million
tons of waste each year, which is 130 times the volume of human waste, or .2 tons for
every US citizen (Horrigan et al. 1999). In the United States, waste from every type of
livestock increased between 1987 and 1997, with the largest increases in waste from
sheep and poultry. Large manure volumes will continue to be produced and distributed
on less land in the coming years (Beegle and Lanyon 1994). These consequences of
animal waste can be divided into three primary categories: water degradation, land
degradation, and air pollution.
Hence the need arises to put efforts in the following.
1. Achieving more quantity and quality of meat, eggs and milk employing less land,
water and time.
This can be achieved by
• Encouraging high yielding varieties of animals
• Improving pre and post harvest technologies to avoid losses in transit.
• Improving the disease resistance and disease curing to reduce mortality
rates and to curb any weight falls during ailments
• Improving the quality of feed, FCR.
• Reducing the quantities og inputs by increasing TDN, reducing excreta,
employing newer technologies like DFM (Direct Fed Microbes to produce

3. Amino Acids, Organic Acids, Enzymes, Growth promoters, Toxin
degraders etc)
2. Achieve agricultural production without damaging the environment by
• Employing greener technologies
• Preferring organic farming
3. Biodegrade all the wastes and pollutants of the industry like litter and make them
more environment friendly.
4. Convert the poultry litter and cow dung into fit animal feeding stuff rather than
usage of the same as manure.
Probiotics are live microorganisms which, when administered in adequate amounts,
confer a health benefit on the host.
Prebiotics are nondigestible substances that provide a beneficial physiological effect for
the host by selectively stimulating the favorable growth or activity of a limited number of
indigenous bacteria
Synbiotics are products that contain both probiotics and probiotics.
At the start of the 20th century, probiotics were thought to beneficially affect the host by
improving its intestinal microbial balance, thus inhibiting pathogens and toxin producing
bacteria.
Today, specific health effects are being investigated and documented including
alleviation of chronic intestinal inflammatory diseases, prevention and treatment of
pathogen-induced diarrhea, urogenital infections, and atopic diseases.
Today, Scientists and Industry has recognized the important role of probiotics
In improving
• The survival rate,
• Weight gain
• FCR
• Egg laying capacity,
• Milk yielding capacity,
And in reducing
• Residual antibiotics, hormones, pesticides, dewormers
• Mortality rate
• Crop time
• Pollution

4. • Damage to Mother Earth.
According to a new market research report, 'Probiotics Market (2009-2014)'
(www.marketsandmarkets.com/Market-Reports/probiotic-market-advanced-tec
hnologies-and-global-market-69.html), published by MarketsandMarkets
(www.marketsandmarkets.com), the global probiotics market is expected
to be worth US$ 32.6 billion by 2014, with the Europe and Asia accounting for
nearly 42% and 30% of the total revenues respectively. The global market is
expected to record a CAGR of 12.6% from 2009 to 2014.
Probiotics, belonging to the functional group of gut flora stabilisers within the category of
zootechnical feed additives (according to the Regulation EC No 1831/2003) is a fast
growing market
In 2004, the global market value of probiotics was €32 million, with a forecasted annual
growth of approximately 3%. However, due to the ban of antimicrobial feed additives, the
probiotic market in Western Europe showed an annual growth of more than 7%. In 2006,
Western Europe produced around 296 tons of probiotics, with a value of €15.5 million.
With 1012 CFU (equivalent to about 100g) usually added to a ton of mixed feed,
approximately 3 million tons of feed containing probiotics was produced last year.
(www.allaboutfeed.net/article-database/potenti...)
Probiotic Foods & Beverages segment is expected to command over 75% of the
overall probiotics market in 2009.
Probiotic dairy products are accounting for almost 70% in the year 2009 and reaching a
market size of almost $24 billion by the end of 2014.
Probiotic dairy products market in USA is expected to grow at a CAGR of 17% from
2009 to 2014.
Probiotic chocolates, probiotic ice creams and probiotic baked products are
expected to enjoy a much larger market share.
Europe market for probiotics is estimated at $13.5 billion by 2014. Its 12.2% CAGR from
2009 to 2014 is driven by consumer demand for health-enhancing probiotic products,
such as probiotic yogurts, other probiotic dairy products and probiotic dietary
supplements.
Asia is the second largest segment, growing at with an estimated CAGR of 11.2% to
reach $9.0 billion by 2014.
Animals can be classified as follows.
1. Companion animals
2. Animals used in Agriculture

5. 3. Human food product (Milk, Eggs) producing Animals
4. Animals used as Human Food
5. Animals used in Industry( Wool bearing)
6. Laboratory Animals
7. Wild Animals
Beneficial microorganisms can be used in food, feed, drinking water; over pond water
mediums; in the environment.
Beneficial microorganisms can be used in controlling
• Bacterial, fungal and viral infections
• Cancer
• Cholesterol
• External parasites
• Insects
• Internal parasites
• Obesity
• Pests
Beneficial microorganisms can be used as alternate antibiotics, pesticides, insecticides,
growth promoters.
Beneficial microorganisms can be used as
• Anifungals
• Antibiotic s
• Antivirals
• Enzyme producers
• FCR Improvers
• Growth promoters
• Gut acidifiers
• Immuno modulators
• Insecticides
• Meat tenderizers
• Oxygen liberators
• Parasiticides
• Pesticides
• Pollutant degraders
• Protozoacides
• Toxin binders
• Zoothamnicides
Role of Probiotics
• To combat diseases like as Irritable Bowel Syndrome (IBS), dyspepsia, chronic
diarrhea or constipation.

6. • To curdle milk
• To detoxify
• To eliminate pathogens
• To exist symbiotically
• To fight against certain cancers.
• To help in Lactic intolerance
• To help in producing short chain fatty acids (SCFAs)
• To help liver and kidneys in discharging their functions
• To help regulate the immune response
• To improve mineral absorption
• To improve Total digestible Nutrients (TDN) of the food intake.
• To inhibit LDL accumulation
• To maintain optimum micro flora
• To reduce Triglycerides
• To reduce the stress owing to high levels of Antibiotics
Activities of Probiotic Bacteria
• Anti colon cancer effects
• Anti Milk allergy
• Anti-diarrheal effects
• Cholesterol lowering
• Correction of Hypertension
• Immune system modulation
• Improved tolerance to milk
• Intestinal health maintenance
• Reduction of Lactose intolerance
• Suppression of harmful intestinal microbe activities
• Suppression of pathogen translocation
• Vaginal/urinary tract health maintenance
Of the 18 authorised probiotics in the EU, 12 are authorised for pig feed (10 are
approved for piglets, 6 for sows and 5 for fattening pigs). The micro-organisms for pig
feed are of various origins. Most preparations contain defined strains of bacteria and
only three of them contain yeasts. Bacillus strains are spore forming bacteria and are
applied as spore preparations while enterococci and pediococci do not form spores and
are applied as desiccated vegetative cells. Therefore, Bacillus probiotics are much more
stable during feed processing (including pelleting and during in-feed storage). We have
found that the recovery of B. cereus var. toyoi was 95% after pelleting (conditioner 80°C,
dye 87°C), while the recovery of viable counts of an E. faecium strain decreased with
increasing treatment temperature (Figure 1). However, the stability of vegetative cells
can be improved by various techniques (soaking on globuli, coating). Although viability
losses can be compensated by initial overdosing during feed production if the rate of
inactivation is known, storage of the complete feed is still a matter of concern. Bacterial
spores, on the other hand, are remarkably stable during storage in pelleted feed (Figure
2 ). Yeasts are the most sensitive to heat treatment. Probably influenced by their stability

7. characteristics, sales volume of used probiotic organisms in pig feeding can be
categorised as follows: Bacillus spore probiotics > Enterococcus strains (lactic acid
bacteria) > yeast probiotics (viable cells).
The European Union has not yet implemented regulations for the risk assessment of
genetically modified microorganisms (GMO) in animal nutrition.
Especially when GMOs are used to deliver drugs or vaccines, they could not be
regulated as feed additives but have to be treated as therapeutic agents.
(http://www.allaboutfeed.net/article-database/potentials-of-probiotics-in-pig-nutrition-
id1140.html)
In Japan a standard was developed by the Fermented Milks and Lactic Acid Bacteria
Beverages Association stipulating that a product contain 1 x 107 viable
bifidobacteria/g or mL product to be considered a probiotic food.
Complete Ban on All Growth-promoting Antimicrobials in the EU Drives Growth in the
Animal Feed Probiotics Market.
A huge demand for phytase is predicted in the future. This is a result of the
Environmental Protection Agency's (EPA) concerns about chemical emissions from the
agricultural industry. Farmers are also looking to reduce phosphate content in animal
wastes. Thus, the most rapid growth is expected in the area of animal feed enzymes led
by phytase.
Global market for chemotherapeutic drugs which either kill parasite populations or
prevent the development of immature parasites into adult forms, is worth almost $4.7
billion, making it the single most valuable sector of the animal health products market.
At the moment very few companies like DVS BioLife Ltd employ probiotics for controlling
internal and external parasites.
The global market for nutraceuticals for companion animals was estimated in excess of
$1 billion in 2006. Several algae like spirulina, chlorella, Dunaliella Salina are employed.
The global probiotics market is estimated to grow at a CAGR of around 13% from 2009-
2014 and Europe and Asia would be occupying the maximum market share by the end
of 2014.
There is good in vitro evidence that certain probiotic strains can inhibit the
growth and adhesion of a range of enteropathogens (Coconnier et al., 1993, 1997;
Hudault et al., 1997; Gopal et al., 2001; Bernet Camard et al., 1997), and animal studies
have indicated beneficial effects against pathogens such as Salmonella (Ogawa et al.,
2001; Shu et al., 2000).
The intestinal microflora likely plays a critical role in inflammatory conditions in
the gut, and potentially probiotics could remediate such conditions through modulation of
the microflora.
Administration of lactobacilli and bifidobacteria could theoretically modify the flora
leading to decreased β-glucuronidase and carcinogen levels (Hosada et al., 1996).
Furthermore, there is some evidence that cancer recurrences at other sites, such as the

8. urinary bladder can be reduced by intestinal instillation of probiotics including L. casei
Shirota (Aso et al., 1995). In vitro studies with L. rhamnosus GG and bifidobacteria and
an in vivo study using L. rhamnosus strains GG and LC-705 as well as
Propionibacterium sp. showed a decrease in availability of carcinogenic aflatoxin in the
lumen (El-Nezami et al., 2000; Oatley et al., 2000).
(http://www.who.int/foodsafety/publications/fs_management/en/probiotics.pdf)
Intravenous, intraperitoneal and intrapleural injection of L. casei Shirota into mice
significantly increased NK activity of mesenteric node cells but not of Peyer's patch cells
or of spleen cells (Matsuzaki and Chin, 2000), supporting the concept that some
probiotic strains can enhance the innate immune response.
(Joint FAO/WHO Expert Consultation on Evaluation of Health and Nutritional Properties
of Probiotics in Food Including Powder Milk with Live Lactic Acid Bacteria, October
2001)
In a series of randomized, double blind, placebo controlled clinical trials, it was
demonstrated that dietary consumption of B.lactis HN019 and L. rhamnosus HN001
resulted in measurable enhancement of immune parameters in the elderly
(Arunachalam et al., 2000; Gill et al., 2001; Sheih et al., 2001).
Some probiotic strains were shown to inhibit the growth of enteropathogens, such as
Salmonella enteritidis, enterotoxigenic Escherichia coli, and Serratia marcesens, in vitro
(48, 49) and in this respect may offer considerable therapeutic potential. This finding,
together with more recent evidence showing that Lactobacillus GG exerts antagonist
activity against Salmonella typhimurium C5 infection both in vitro and in vivo (50),
provides a basis for the clinical use of probiotics in suppression of pathogens.
(http://www.ajcn.org/cgi/content/full/73/2/476S)
Potential for probiotics microorganisms to modulate the immune response and prevent
onset of allergic diseases has been demonstrated.
Ability of lactobacilli to reverse increased intestinal permeability, enhance gut-specific
IgA responses, promote gut barrier function through restoration of normal microbes, and
enhance transforming growth factor beta and interleukin 10 production as well as
cytokines that promote production of IgE antibodies
(Kalliomaki et al., 2001; Isolauri, 2001).
Certain microorganisms can contribute to the generation of counter-regulatory T-helper
cell immune responses, indicating that use of specific probiotic microorganisms could
redirect the polarized immunological memory to a healthy one
(McCracken and Lorenz, 2001).
There is preliminary evidence that use of probiotic lactobacilli and metabolic by-products
potentially confer benefits to the heart, including prevention and therapy of various
ischemic heart syndromes (Oxman et al., 2001) and lowering serum cholesterol
(De Roos and Katan, 2000).
There is some clinical evidence to suggest that oral and vaginal administration of
lactobacilli can eradicate asymptomatic (Reid et al., 2001a; 2001b) and symptomatic
Bacterial vaginosis

9. (Hilton et al., 1995; Sieber and Dietz, 1998).
One study of day care centres in Finland showed that probiotic use reduced the
incidence of respiratory infections and days absent due to ill health
(Hatakka et al., 2001).
Probiotic bacteria containing β-galactosidase can be added to food to improve lactose
maldigestion
(Kim and Gilliland, 1983).
The global market estimate of functional foods has been up to 73 Billion € and an
annular growth rate of 8-16%. In a recent study undertaken by Leatherhead Food RA,
the market for functional foods in the United Kingdom, France, Germany, Spain,
Belgium, Netherlands, Denmark, Finland, and Sweden was reviewed. The results of the
study showed that the probiotic yogurt market in these 9 countries totalled >250 million
kg in 1997 (11), with France representing the largest market, having sales of 90
million kg, valued at US$219 million. The German market for probiotic yogurts is growing
rapidly; for example, during 1996–1997, it increased by 150%, whereas the UK market
grew by a more modest 26% during the same period. On average, probiotic yogurts
accounted for 10% of all yogurts sold in the 9 countries studied, with Denmark having
the highest proportion (20%) of probiotic yogurts, followed by Germany and the United
Kingdom (both at 13%) and then France (11%). On the lower end of the scale were the
Netherlands and Belgium (both at 6%) and then Finland and Sweden (both at 5%) (11).
Seen as crucial to market expansion in Europe is further clarity on the use of health
claims. The market for functional foods in Europe could ultimately account for 5% of
total food expenditure in Europe, which, based on current prices, would equate to
US$30 billion (5).
This study on the envisaged growth in the consumption of Non Vegetarian Foods and
the role of probiotics in improving the scenario is based on the assumptions narrated
below.
Several factors may influence these observations. Some of them are listed below.
I.II. ASSUMPTIONS IN PREPARING THIS REPORT
1. Agricultural support and trade policies influence markets
2. Agricultural production continues to expand, but more slowly
In spite of reduction in the Acreage; production will improve owing to the improved
Seeds, fertilizers, pesticides and due to the better package of practices in pre and
post harvesting including storage and transporting.
3. Agricultural lands are becoming scarce day by day owing to
• Submerging in oncoming projects on rivers
• Conversion into residential and industrial usage
• Immersion into sea owing to rise in mean sea level caused by ice glacier
melting (Due to Global Warming)

10. 4. Consumption to grow faster in developing countries due to higher earning
capacities
5. Despite rekindled fears, inflation expected to remain low
6. Diseases like Asian soya bean rust could change the outlook for oilseed markets
7. Population growth rates to decline
World population is projected to soar from 6.1 billion in 2000 to 7.9 billion in 2025 and
9.3 billion in 2050
(Sadik 2001).
8. Sustained, broad-based growth in farm animals is expected in the medium to
longer term
I. III. FACTORS THAT MAY INFLUENCE THE DEMAND OF NON VEGETARIAN
FOOD
1. Climatic changes
2. Changes in Food habits
3. Increase in Population
4. Urbanization
I. IV. FACTORS THAT MAY INFLUENCE THE SUPPLY OF NON VEGETARIAN
FOOD
1. Climatic changes
2. Improvements in Feed Technology
4. GM in Poultry and other Breeds
6. Change in the Priorities in feeding stuff
7. Change of size and concept of operators like a shift from small families to small companies
8. Better usage of land and water resources
I. V. FACTORS THAT MAY INFLUENCE THE AVAILABILITY OF FEEDING
STUFF FOR USE IN ANIMAL FEEDS
1. Demand for biofuels such as ethanol from grain
2. Demand for biodiesel from edible oil
3. Demand for human consumption.
4. Conversion of Lands used to produce Grains and Oil Seeds to better
remunerating crops like Horticulture, Flowers, Vegetables, Medicinal Herbs etc.
I. VI. FACTORS THAT MAKE USAGE OF PROBIOTICS AS THE ONLY BEST
ALTERNATIVE

11. • Abuse of Antibiotics
• Abuse of Growth promoting antibiotics and chemicals
• Abuse of Hormones
• Abuse of Pesticides, insecticides
• Abuse of dewormers, parasiticides, disinfectants, sanitizers etc
Table I.01.
• When GDP increases to developing country status, growth in meat consumption
rises quickly reflecting consumer desires. In many countries, per capita income
levels have more than doubled over the past two decades.

12. Table I. 02. Average annual percentage increase over 10 year period
1995-2004 2005-2014 1995-2004 2005-2014
Population Income
% % % %
World 1.27 1.01 2.62 3.10
Africa 2.28 1.83 3.37 3.80
America 1.36 1.04 3.02 3.24
Asia 1.29 1.02 2.61 3.56
Europe 0.01 -0.07 2.13 2.40
Oceania 1.15 0.73 3.51 3.53
Note: Income is at 1995 USD market prices.
Source: World Bank, December 2004.
• World population is projected to soar from 6.1 billion in 2000 to 7.9 billion in 2025 and 9.3 billion in
2050
(Sadik 2001).
• Countries with large population bases and high growth rates are Indonesia- 240 m, 1.5%, India -
1,065 m, 1.4%, Pakistan - 161 m, 2.0%, Bangladesh -143 m , 2.1% and Brazil - 185 m 1.1%
(Anon, 2007).
• A 10% increase in income would result in a 1% increase in food expenditure in the U.S., a 6.5%
increase in the Philippines and 18% in Tanzania (Seale and Bernstein, 2003).
Table I.03
As per CFLMA, Indian feed production details are as follows.
Species Year Feed in Kg
Broiler 2004 6.2 x 109
Layer 2004 8.1 x 109
Cattle 2004 4 x 109
Shrimp 2005 0.307 x 109
Fish 2004 0.01 x 109
It is estimated that the real productions by 2014 will be enhanced at an average growth rate of 9.25%
• The top 15 countries that produce animal feed accounted for 73% of a total
production of 625 mmt in 2005 (Gill, 2007).
Table I. 04. Production and consumption average annual growth rates, 2004-2014
PRODUCTION CONSUMPTION
Total OECD NON-OECD Total OECD NON-OECD
% %
Beef 1.6 0.7 2.6 1.6 0.6 2.3
Pig meat 1.8 0.8 2.6 1.8 0.8 2.3
Poultry meat 2.2 1.8 3.0 2.2 1.8 2.5
Milk 1.9 0.9 3.0 .. .. ..
Butter 1.7 -0.3 3.4 1.8 -0.3 2.9
Cheese 1.8 1.8 2.8 1.9 1.6 2.7

13. Skim milk powder -0.5 -1.3 2.5 -0.9 -2.5 1.3
Whole milk powder 2.0 1.2 3.4 2.0 -0.3 2.6
Source: OECD and FAO Secretariats
Table I. 05. Per capita consumption for selected commodities
Average annual growth (%) (1)
2002-04 2014 1995-04 2005-14
World
Meat 31.2 34.5 3.38 0.88
OECD
Meat 64.5 69.9 7.03 0.73
Non-OECD
Meat 23.2 26.5 1.64 1.18
Note: (1) The least squares growth rate, r is estimated by fitting a linear regression trend line as follows:
Ln(xt)=a+r*t
Econometrics and models and Econometrics forecasts, Robert S. Pindyck.
Source: OECD and FAO Secretariats.

14. Table I.06.

16. Table I.07. Production of Milk and Eggs
FAO PRODUCTION OF MILK PRODUCTION OF EGGS
Statistical
Yearbook
2009 (1000 tonnes) (1000 tonnes)
COUNTRIES 1994- 1999- 2005 2006 2007 1994- 1999- 2005 2006 2007
1996 2001 1996 2001
Afghanistan 2 1379.866 1745.033 1730.7 1627.9 1673.9 15.86666 15.47 21.824 14.688 16.858
7 7
Albania 3 938.3836 946.3403 1076.007 1102.007 1016.007 14.14333 21.73333 27.3 26.5 27.2
7 3 3 3
Algeria 4 1148.133 1513.218 1694.209 1995.693 2045 110.6666 100.6666 175 178 185
3 7 7
American 5 0.016 0.016 0.016 0.016 0.022 0.03 0.03 0.03 0.03 0.03
Samoa
Angola 7 151.6666 193.6666 195 195 195 4.133333 4.333333 5.2 4.3 4.3
7 7 3 3
Antigua and 8 5.833333 5.3 5.35 5.35 5.4 0.19 0.22 0.25 0.25 0.25
Barbuda 3
Argentina 9 8642.873 10179.75 9908.941 10493.56 10500 281.1233 315.907 310 484.2 480
2 9 3
Armenia 1 424.96 457.882 594.6 620 642 11.06766 21.66633 29.053 25.98 29.442
7 3
Australia 10 8591 10849.66 10089 9583 9223 138.6 144.3333 138.6 180.3 170.2
7 3
Austria 11 3173.617 3353.744 3135.852 3168.555 3179.995 102.338 88.08266 89.271 90.613 95.197
3 7 7
Azerbaijan 52 817.8333 1032.733 1251.935 1299.509 1341.278 27.30033 30.47366 49.167 45.831 52.66
3 3 3 7
Bahamas 12 1.59 1.575 1.8 1.75 1.75 0.66 0.933666 0.85 0.9 0.9
7
Bahrain 13 17.14566 16.06366 15.224 13.13 10.93 2.996666 2.621333 2.45 2.45 2.45
7 7 7 3
Bangladesh 16 1989.853 2133.276 2615.93 2752.54 2897.15 131.3666 178.4666 263.7 253.9 256
3 7 7 7
Barbados 14 7.839 8.056666 6.785 6.85 6.9 1.221 1.25 1.95 2 2.05
7
Belarus 57 5162.833 4688.166 5675.6 5895.4 5903.5 190.8046 183.695 173.98 187.18 181.1
3 7 7
Belgium 255 3691.5 3025 3012 3000 203.375 179.81 194 174.2
Belize 23 1.276 1.441333 3.786 3.014 2.706 1.488 1.717666 1.472 1.616 1.805
3 7
Benin 53 24.21333 29.37166 34.722 35.638 36.53 6.444 7.2 9.36 10.08 10.845
3 7
Bhutan 18 41.28866 41.448 41.44 41.42 41.42 0.356666 0.346666 0.24 0.24 0.24
7 7 7
Bolivia 19 215.6456 251.0656 355.65 294.839 301.709 65.66666 39.61733 53.89 59.315 62.585
7 7 7 3
Bosnia and 80 360.3666 550.0333 667.7 703.52 767.826 9.3 17.26666 17.619 17 20.34
Herzegovina 7 3 7
Botswana 20 100.9166 114.375 116.75 105.35 105.4 2.033333 3.2 4.2 3.15 3.15
7 3
Brazil 21 17590.6 20537.66 25519.10 26320.56 27080.56 1421.182 1561.535 1749.747 1834.564 1857.817
9 6 4 4 3 7
Brunei 26 0.04 0.146333 0.103 0.077 0.075 3.99 4.766666 5.703 6.512 7.35
Darussalam 3 7
Bulgaria 27 1448.3 1587.830 1508.069 1515.673 1327.461 101.9436 87.03666 97.546 100.584 98.821

17. 3 7 7
Burkina 233 139.6126 173.16 214.775 224.153 233.947 34.37933 39.35733 45.045 46.27 47.53
Faso 7 3 3
Burundi 29 37.71333 29.32666 25.2 20.919 28.692 3.516666 3.133333 3.05 3 3
3 7 7 3
Cambodia 115 19.074 20.4 21.658 22.746 23.12 13.31666 14.95 17.05 17.05 17.05
7
Cameroon 32 182.3333 188.3666 194.3 194.3 194.3 13 12.93333 13.4 13.4 13.4
3 7 3
Canada 33 7853.333 8143.666 7806 8041 8145 326.13 370.6003 399.26 399.612 398.436
3 7 3
Cape Verde 35 8.472666 10.03333 14.6 16.6 18.55 1.933333 1.9 1.77 1.835 1.95
7 3 3
Central 37 52.69166 62.76666 66.5 66.5 65 1.38 1.436666 1.48 1.48 1.48
African 7 7 7
Republic
Chad 39 173.9 219.7833 243.459 248.628 254.52 3.6 3.552 3.744 3.78 3.888
3
Chile 40 1864.666 2086.566 2309.9 2409.9 2460 94.32333 109.9416 126.4 124.35 137.2
7 7 3 7
China 351 9443.551 12711.03 32022.64 36471.84 39823.66 17385.32 22149.82 24725.89 24598.32 25654.35
3 5 6 5 7 7 5
Colombia 44 5059.426 6061.213 6770 5500 4225 319.4 362.1913 491.977 525.5 489.794
7 3 3
Comoros 45 4.4 4.533333 4.5 4.55 4.55 0.7 0.752 0.776 0.776 0.776
3
Congo 46 0.983333 1.05 1.15 1.1 1.1 1.14 1.16 1.2 1.2 1.2
3
Congo, 250 6.566666 5.2 5 5 5 8.3 6.9 7 7 7
Democratic 7
Republic of
the
Costa Rica 48 566.0333 721.9096 779.478 823.814 889.974 45.71033 42.41466 48.167 47.211 41.887
3 7 3 7
Côte d'Ivoire 107 22.10833 26.46566 29.265 29.85 26.473 16.17466 34.00066 28.712 27.918 25.03
3 7 7 7
Croatia 98 610.0863 636.1456 812.864 870.135 883.226 49.685 47.60633 49.38 50.736 48.2
3 7 3
Cuba 49 638.2073 618.5393 354.834 416.734 486.98 67.50266 73.321 90.917 103.017 103.475
3 3 7
Cyprus 50 176.2666 190.4 193.42 187.8 183.48 9.596666 10.79466 9.087 9.5 9.4
7 7 7
Czech 167 3149.626 2812.247 2828.297 2768.887 2757.862 151.688 194.3503 89.465 86.675 92.992
Republic 3 7 3
Denmark 54 4604.466 4642.666 4584 4627 4600 90.9 77.729 79.8 77 78
7 7
Dominica 55 6.106666 6.1 6.1 6.1 6.1 0.225 0.225 0.225 0.225 0.225
7
Dominican 56 382.985 409.71 751.662 868 872 45.013 59.40366 80.219 86.097 86.042
Republic 7
Ecuador 58 1908.307 2132.686 4578.78 5188.069 4768.418 55.95333 66.70533 75.014 76 77.5
3 3 3
Egypt 59 2814.762 3812.817 4508.1 4558.1 4608.1 159.3916 176.522 240 240 240
7 7
El Salvador 60 315.7096 376.816 447.6 492.478 535.664 44.22 58.297 67.409 69.228 70
7
Equatorial 61 0.19 0.19 0.19 0.19 0.19
Guinea
Eritrea 178 48.81966 69.18333 58.8 56.725 56.8 4.601333 1.768 2 1.978 2
7 3 3
Estonia 63 718.264 646.976 670.427 691.966 692.416 20.56 16.76466 13.063 11.414 9.848

18. 7
Ethiopia 238 1038.199 1448.578 1827.7 1931.55 1931.2 28.493 31.72433 36.624 36.624 38
7 7 3
Fiji 66 63.987 56 57 57.5 58 2.648666 3.002 3.791 3.522 3.438
7
Finland 67 2470.203 2460.966 2433.19 2412.981 2355.6 72.4 57.98666 58.2 56.7 56.9
3 7 7
France 68 25954.22 25679.76 25713.94 25040.68 25216.7 1000.12 1036.133 930.1 908.3 878.4
2 6 9 1 3
French 70 1.459333 1.246 1.096 1.35 1.35 1.557333 1.751333 2.5 2.042 2.043
Polynesia 3 3 3
Gabon 74 1.441666 1.575 1.575 1.575 1.6 1.74 1.98 1.98 1.98 2
7
Gambia 75 7.349666 7.618 7.7 7.8 7.9 0.590666 0.715 0.748 0.78 0.83
7 7
Georgia 73 478.3333 663.117 787.73 617.3 638.8 16.271 21.44533 28.3 14.2 24.43
3 3
Germany 79 28440.29 28307.47 28487.95 28030 28438 840.3333 887.3333 795 787 786
5 6 3 3
Ghana 81 27.14833 33.8 36.01 36.53 37.12 13.559 21.28833 25.175 25.71 26.37
3 3
Greece 84 1960.473 2012.501 2054.398 2077.007 2019.633 117.0716 115.3186 110.1 99.48 96.9
7 7 7
Guatemala 89 307.3993 264.9716 297.449 337.239 340 92.40566 81.31 85 85 85
3 7 7
Guinea 90 61.56066 79.02266 100.961 99.309 104.648 9.66 12.285
18.585 19.705 20.895
7 7
Guinea- 175 16.922 17.66066 19.03 19.83 20.817 0.608 0.96 1.128 1.2 1.248
Bissau 7
Guyana 91 18.25333 30 30 30 30 1.448666 1.358666 1.206 0.27 0.492
3 7 7
Haiti 93 57.76333 63.05 70.35 69.5 69.5 4.25 4.583333 5.045 5.05 5.05
3 3
Honduras 95 465.5816 575.8493 663.05 661.8 661.8 35.58333 42.15033 40.912 41 41
7 3 3 3
Hungary 97 1976.515 2142.678 1936.928 1851.069 1848.564 197.118 181.4746 168.845 168.421 160.665
3 3 7
Iceland 99 105.4226 105.78 109.445 117.541 126.358 2.207 2.487666 2.8 2.634 2.91
7 7
India 100 65040.33 80440.33 95619 100900 106100 1479 1940 2539 2604 2670
3 3
Indonesia 101 732.2633 760.9006 850.45 944.249 923.883 734.8363 757.9173 1051.54 1204.417 1382.134
3 7 3 3
Iran, Islamic 102 4603.003 5807.41 7002.432 7488.467 7635.5 500.6666 576.5666 758 677 711
Republic of 7 7
Iraq 103 402.4066 653.175 767.08 538.675 629.765 22.96666 26.93 77.12 51.7 50
7 7
Ireland 104 5326.8 5220.896 5378 5400 5200 32.63333 31.787 37.5 34 33
3
Israel 105 1175.583 1222.967 1216.274 1188.2 1226.201 101.0866 88.11666 92.4 93.52 93.5
3 7 7 7
Italy 106 12207 12871.85 11862.63 11868.17 11865 718.9333 709.1666 722.2 690 700
4 4 6 3 7
Jamaica 109 167.8253 180.799 178.821 178.466 179.094 6.017 7.012 5.096 8.636 6.32
3
Japan 110 8476 8419.231 8285.215 8133.907 8024 2560.843 2531.323 2482.643 2496.648 2525
3 3
Jordan 112 154.8523 193.441 277.887 309.879 313.4 47.77933 49.43133 40.614 44.68 45
3 3 3
Kazakhstan 108 4514.079 3729.436 4749 4926.9 5073.2 107.3966 94.49166 140.57 139.813 149.24
7 7

19. Kenya 114 2134.5 2505.016 2835.2 3668.2 4401.5 48.83333 58.48333 57.85 66.7 68.6
7 3 3
Korea, 116 85 89.33333 94 96 96 69.66666 104.1666 140 142 142
Democratic 3 7 7
People's
Republic of
Korea, 117 1989.628 2282.678 2233.991 2189.197 2193.225 461.559 511.6346 542.862 583 573.5
Republic of 7 3 7
Kuwait 118 35.871 39.30933 47.63 45.04 45.04 10.78266 21.17733 26 22 22
3 7 3
Kyrgyzstan 113 873.7 1103.888 1197.66 1212.156 1240.035 9.509 11.741 17.795 19.232 20.945
Lao People's 120 5.6 5.933333 6.4 6.6 6.7 5.106666 10.264 12.806 13.105 13.105
Democratic 3 7
Republic
Latvia 119 957.1783 823.8846 810.284 815.072 841.646 23.426 24.99633 33.445 35.76 42.236
3 7 3
Lebanon 121 210.0876 208.1073 251.9 241 241 27.28666 43.6 45.48 47 47
7 3 7
Lesotho 122 26.19666 32.5 35 24 25 1.256666 1.466666 1.55 1.5 1.6
7 7 7
Liberia 123 0.715 0.715 0.715 0.735 0.745 4.05 4.283333 4.35 4.7 4.97
3
Libyan Arab 124 160.03 196.8473 203.408 203.4 203.4 42.33333 56.28 60 60 60
Jamahiriya 3 3
Lithuania 126 1857.566 1722.906 1861.57 1891.295 1936.612 42.15333 43.25066 53.246 56.815 58.6
7 7 3 7
Luxembourg 256 267.115 269.711 268.073 274.243 1 1.291 1.24 1.227
Macedonia, 154 194.807 252.186 276.164 321.29 451.79 23.81 22.86666 19.02 18.51 17.98
The Former 7
Yugoslav
Republic of
Madagascar 129 508.3333 515 510 520 520 15.60133 18.98533 19.436 19.5 19.5
3 3 3
Malawi 130 31.5 34.66666 42.541 25.472 29.739 17.63333 19.4 20.2 19.5 19.5
7 3
Malaysia 131 43.925 36.541 45.735 46.2 46.8 365.623 402.8343 453 464 476
3
Mali 133 420.4756 487.8726 627.432 669.704 717.398 11.88 11.88 10.08 10.36 10.5
7 7
Malta 134 33.28333 51.86233 44.497 44.415 43.962 7.023333 6.002333 5.884 7.285 7.638
3 3 3 3
Mauritania 136 287.5833 323.9833 356.549 354.8 355 4.593333 5.043333 5.27 5.27 5.27
3 3 3 3
Mauritius 137 7.366666 4.566666 4 4 3.5 4.7 5.55 7 6.9 7
7 7
Mexico 138 7569.512 9354.365 10032.54 10252.50 10513.40 1241.360 1771.625 2024.723 2290.062 2290.833
3 3 8 9 5 7
Moldova, 146 829.7713 580.7486 658.57 627.491 603.906 19.65466 32.617 42.65 42.835 39.435
Republic of 3 7 7
Mongolia 141 321.059 436.2866 359 398.6 414.1 0.224 0.431333 0.45 0.4 0.4
7 3
Montenegro 273 183.3 178.02 2.34 3.565
Morocco 143 923.4333 1226.566 1464.7 1564.8 1664.8 193.3333 238.3333 195 168 200
3 7 3 3
Mozambique 144 65.80833 69.31966 77.85 76.5 74.8 11.9 14 14.6 14 14
3 7
Myanmar 28 556.9126 619.3286 989.8 1094.815 1215.626 53.706 109.5873 200.839 226.724 248.962
7 7 3
Namibia 147 73.33333 87.66666 150 110 110 2.091333 2.486666 3.54 3.44 3.44
3 7 3 7
Nepal 149 1007.514 1171.933 1352.428 1390.64 1432.394 19.60166 24.65866 29.776 30.31 30.998

20. 3 7 7
Netherlands 150 11059.72 11099.66 10847 10500 10750 607.3333 657.3333 607 611 621
7 7 3 3
New 153 3.42 3.1 0.804 0.789 0.8 1.351 1.52 1.853 1.951 2
Caledonia
New Zealand 156 9702.333 12078.73 14637.89 15332.06 15841.62 44 45.42333 53.382 53.5 71.842
3 7 4 7 4 3
Nicaragua 157 190.111 541.492 614.118 664.545 708.405 27.52466 19.30833 20.357 21.053 21.456
7 3
Niger 158 396.7666 500.7666 631.76 656 683.6 7.285 7.77 8.29 7.46 7.56
7 7
Nigeria 159 380 388.0583 438.5 462.7 468.24 377.6666 425 500.4 526.4 552.8
3 7
Norway 162 1939.3 1811.166 1588.188 1574.599 1616.479 50.03633 47.448 50.702 50.815 52.831
7 3
Occupied 299 112.6956 135.6693 186.875 190.642 204 21.32166 34.68866 37.393 37.94 38.49
Palestinian 7 3 7 7
Territory
Oman 221 94.112 108.9553 134.72 136 136.63 6.22 7.188333 9.5 9 9
3 3
Pakistan 165 19994 25575.33 29438 31214 32219 279.4833 347.2733 408.063 463.664 486.459
3 3 3
Panama 166 156.7276 169.8293 181.048 178.592 180.225 13.09833 16.73133 28.141 25.657 27.3
7 3 3 3
Papua New 168 0.164 0.171666 0.2 0.2 0.2 4.463333 5.65 6.2 4.91 4.91
Guinea 7 3
Paraguay 169 350.8836 368.6 372.38 372.38 375 44.1 79.223 100.82 100.82 100.82
7
Peru 170 883.1763 1084.755 1350.335 1503.923 1600.834 119.7656 158.6043 182.291 245.451 257.621
3 7 3
Philippines 171 11.90333 10.28666 13 13 13 450.6666 514.9333 594 592 603
3 7 7 3
Poland 173 11855.28 12020.28 11945.56 12003.41 12117.31 355.0436 429.3203 535.995 537.232 546.748
9 5 5 1 7 3
Portugal 174 1785.163 2102.140 2119.926 1976.107 2049.264 104.6223 117.5503 120.908 121.65 119.569
3 3 3
Qatar 179 33.219 32.36166 19.75 20.15 21.1 3.487333 3.177333 4.142 4.2 4.2
7 3 3
Romania 183 4931.301 4701.535 5552.2 6662.242 6289.845 285.21 301.3096 365.5 371.45 326.124
3 7 7
Russian 185 39098.85 32493.69 31147.16 31436.27 32175.48 1928.766 1910.236 2065.4 2116.8 2122.93
Federation 6 8 5 8 5 7 7
Rwanda 184 96.76 125.7 147.1 143.92 143.92 1.95 2.2 2.3 2.3 2.3
Saint Kitts 188 0.333333 0.24 0.22 0.22 0.22
and Nevis 3
Saint Lucia 189 1.116666 0.933333 1 1 1.05 0.542 0.516 1.4 1.05 1.1
7 3
Saint 191 1.356666 1.366666 1.2 1.2 1.3 0.64 0.64 0.625 0.63 0.65
Vincent and 7 7
the
Grenadines
Samoa 244 1.3 1.483333 1.5 1.5 1.5 0.233333 0.271666 0.33 0.26 0.26
3 3 7
Sao Tome 193 0.128666 0.139333 0.146 0.146 0.147 0.262333 0.367333 0.472 0.472 0.49
and Principe 7 3 3 3
Saudi Arabia 194 657.9486 919.7 1196 1216 1242 127.805 134.0343 169.548 170.5 174
7 3
Senegal 195 106.5046 117.9966 116.131 120.152 122.329 11.26666 17.26666 27 28 31.5
7 7 7 7
Serbia 272 1651.333 1634.5 72.8 68
Serbia and 186 1998.033 1866.133 1858.665 87.23333 73.076 76.598

21. Montenegro 3 3 3
Seychelles 196 0.383333 0.31 0.31 0.31 0.31 1.808666 2.158666 2.217 2.182 2.212
3 7 7
Sierra Leone 197 17.66666 9.333333 13.25 18.5 18.5 6.91 7.748666 8.865 8.865 8.865
7 3 7
Singapore 200 18.617 17.2 21.811 22.455 23.605
Slovakia 199 1185.36 1149.21 1118.254 1108.611 1091.664 91.01333 65.08133 67.366 75.3 77.45
3 3
Slovenia 198 594.2683 648.0803 661.414 644.634 668.95 19.905 23.02066 14.33 15.801 19.345
3 3 7
Solomon 25 1.235 1.3 1.365 1.4 1.4 0.34 0.442666 0.48 0.5 0.51
Islands 7
Somalia 201 2213.666 2102.833 2210.86 2168.14 2166 2.316666 2.48 2.687 2.54 2.54
7 3 7
South Africa 202 2627.333 2655.333 2870.87 2970.965 3000 258.6666 323.65 365.5 414 435
3 3 7
Spain 203 6762.34 7067.974 7469.409 7323.136 6998.5 588.1266 634.6426 710.456 709.305 706.84
7 7
Sri Lanka 38 286.6956 158.5333 167.524 171.17 175.61 48.85233 52.371 49.072 51.153 51.963
7 3 3
Sudan 206 4345.25 5773 7586 7308 7356 38.81666 44.83333 47 47 47
7 3
Suriname 207 18 9.833333 8.5 8.5 8.5 3.5 2.766666 2.5 2.5 2.5
3 7
Swaziland 209 38.46666 36.33333 38.7 37.5 39 0.338333 0.966666 1.25 1.05 1.05
7 3 3 7
Sweden 210 3327.666 3328.666 3206 3175 3200 106.0373 102.3 102 99 102
7 7 3
Switzerland 211 3903.333 3914.4 3957 3957.5 4008.2 36.526 36.68666 38.879 38.77 38.932
3 7
Syrian Arab 212 1383.044 1635.689 2354.13 2532.485 2678.1 105.659 128.2693 155.205 189.04 171.5
Republic 7 7 3
Tajikistan 208 343.6333 331.5666 533.03 544.9 583.6 3.233666 1.496666 5.53 5.89 6.18
3 7 7 7
Tanzania, 215 670.1866 833.2666 944 944 955 36.16266 35.39833 36.745 36.75 36.75
United 7 7 7 3
Republic of
Thailand 216 285.3413 524.1096 888.22 826.464 822.211 776.5 792.4003 778.709 823.274 570.4
3 7 3
Timor-Leste 176 1.075 0.691666 0.475 0.475 0.375 1.186666 1.36 2.8 1.6 1.6
7 7
Togo 217 7.604666 7.815 9.022 9.292 9.585 6.325 6.325 6.44 7.25 8.05
7
Tonga 219 0.175 0.306333 0.37 0.37 0.37 0.273333 0.28 0.28 0.28 0.3
3 3
Trinidad and 220 9.389666 10.357 10.5 10.5 11 2.962333 3.310666 3.8 3.8 3.85
Tobago 7 3 7
Tunisia 222 594.3333 908.2666 931.1 988.5 1013.8 59.96666 82.66666 84 80 85
3 7 7 7
Turkey 223 10641.12 9790.504 11107.89 11952.1 12329.78 558.2333 770.3133 753.278 733.348 795.31
7 6 9 3 3
Turkmenista 213 732.3666 1038.133 1869 1197 1332.8 15.239 20.56666 45.43 37.265 34.155
n 7 3 7
Uganda 226 456.1666 510.4166 735 735 735 17.4 19.86666 20 20 21
7 7 7
Ukraine 230 17075.5 13149.46 13714.36 13287 12262.15 545.9113 520.3746 756.3 825.7 814.8
7 3 7
United Arab 225 59.515 82.44 98.85 100 100 12.39433 14.898 17 17 17.2
Emirates 3
United 229 14881.1 14736.33 14473 14316 14023 636.8333 600.5066 625 610.648 593.171
Kingdom 3 3 7

22. United 231 69989 74940.33 80254.46 82463.03 84189.06 4440 4998.8 5333.4 5360 5308
States of 3 4 2 4
America
Uruguay 234 1248.920 1468.910 1619 1620 1576 31.53133 35.2 41.558 42.295 43.6
3 3 3
Uzbekistan 235 3554.633 3593.4 4554.879 4855.781 5097.65 72.437 70.82833 110.931 119.624 124.43
3 3
Vanuatu 155 2.9 2.966666 3 3.1 3.2 0.28 0.32 0.36 0.36 0.37
7
Venezuela 236 1415.971 1388.972 1347.662 1431.152 1703.544 143.1336 177.0083 173.6 160.514 149.648
7 7 3
Viet Nam 237 66.13333 82.95033 228.679 246.953 266.438 141.1 186.0243 197 226 254
3 3 3
Yemen 249 206.9286 249.0173 299.028 308.402 318.1 18.55 31.41133 48.36 50.752 51.6
7 3 3
Zambia 251 81 72 84 81 84 32.26666 43.86666 46.8 46.4 46.9
7 7
Zimbabwe 181 346.6666 306.6666 242 250 250 19 21.36666 26.8 22 22
7 7 7
World 500 539787.2 579847.3 647794.0 665277.4 679206.9 47210.53 55137.81 61137.33 62154.97 63410.63
1 1 5 7 1 3 4 7 4 7 9
Table I.08. Production of Pig Meat and Chicken Meat
FAO Statistical PRODUCTION PRODUCTION
Yearbook OF PIG MEAT OF CHICKEN
MEAT
2009 (1000 tonnes) (1000 tonnes)
COUNTRIES 1994-1996 1999- 2005 2006 2007 1994-1996 1999- 2005 2006 2007
2001 2001
Afghanistan 2 12 13 32 34 18
Albania 3 11 7 11 11 10 4 4 9 10 10
Algeria 4 0 0 0 0 0 211 236 253 253 250
American Samoa 5 0 0 0 0 0 0 0 0 0 0
Angola 7 26 29 28 28 28 7 8 9 9 9
Antigua and Barbuda 8 0 0 0 0 0 0 0 0 0 0
Argentina 9 207 209 185 225 230 743 950 1,010 1,159 1,160
Armenia 1 6 9 9 14 13 5 3 5 5 6
Australia 10 343 364 391 386 384 472 601 760 773 812
Austria 11 586 639 642 514 536 82 87 89 85 95
Azerbaijan 52 2 1 2 1 1 15 18 35 36 49
Bahamas 12 0 0 0 0 0 7 8 8 8 8
Bahrain 13 5 5 5 6 5
Bangladesh 16 83 94 130 138 147
Barbados 14 3 2 3 3 3 11 11 14 14 14
Belarus 57 263 305 321 346 372 77 77 115 145 165
Belgium 255 1,052 1,013 1,006 1,063 403 450 484 448
Belize 23 1 1 1 1 1 7 9 14 14 13
Benin 53 7 3 4 4 4 11 12 15 16 17
Bhutan 18 1 1 1 1 1 0 0 0 0 0
Bolivia 19 63 82 108 108 108 96 133 154 133 133
Bosnia and 80 10 6 9 10 9 11 6 12 14 20
Herzegovina
Botswana 20 0 1 0 0 0 7 8 5 5 5

23. Brazil 21 2,600 2,546 3,110 2,298 2,480 3,838 5,905 8,830 8,164 8,988
Brunei Darussalam 26 0 0 0 0 0 4 11 14 16 18
Bulgaria 27 239 249 75 75 76 91 107 80 87 98
Burkina Faso 233 12 20 33 36 40 23 26 31 32 33
Burundi 29 5 4 6 1 2 6 6 7 6 6
Cambodia 115 83 105 135 139 141 16 20 17 17 17
Cameroon 32 12 15 16 16 16 22 27 30 30 30
Canada 33 1,244 1,646 1,920 1,898 1,894 729 908 1,000 997 1,030
Cape Verde 35 5 7 7 7 8 1 0 0 0 0
Central African 37 10 12 14 14 14 3 3 4 4 4
Republic
Chad 39 0 0 0 1 1 4 5 5 5 5
Chile 40 173 269 411 468 499 291 377 457 523 486
China 351 33,010 40,769 46,622 47,591 43,951 5,783 8,695 9,964 10,164 10,617
Colombia 44 132 103 128 135 158 505 532 763 836 910
Comoros 45 0 1 1 1 1
Congo 46 2 2 2 2 2 6 6 6 6 6
Congo, Democratic 250 28 26 24 24 24 14 12 11 11 11
Republic of the
Costa Rica 48 22 32 39 41 48 60 75 91 98 107
Côte d'Ivoire 107 11 6 7 7 7 24 21 23 22 23
Croatia 98 57 64 58 58 66 26 25 45 40 42
Cuba 49 113 90 97 100 177 56 73 29 31 34
Cyprus 50 44 51 55 53 55 28 33 33 27 28
Czech Republic 167 492 428 380 359 360 125 201 213 207 201
Denmark 54 1,503 1,661 1,793 1,749 1,802 158 191 183 166 170
Dominica 55 0 0 0 0 0 0 0 0 0 0
Dominican Republic 56 61 61 78 79 79 139 199 297 346 346
Ecuador 58 91 115 165 165 165 119 183 210 300 336
Egypt 59 3 3 2 2 2 306 512 560 616 560
El Salvador 60 12 11 11 14 17 39 65 99 101 107
Equatorial Guinea 61 0 0 0 0 0 0 0 0 0 0
Eritrea 178 4 2 2 2 2
Estonia 63 32 32 40 42 43 5 8 14 12 12
Ethiopia 238 1 1 2 2 2 36 42 43 45 48
Fiji 66 3 4 4 4 4 9 8 12 14 14
Finland 67 170 176 204 208 213 44 69 87 88 95
France 68 2,140 2,327 2,274 2,261 2,281 1,275 1,249 921 819 800
French Polynesia 70 1 1 1 1 1 1 1 1 1 1
Gabon 74 3 3 3 3 3 3 4 4 4 4
Gambia 75 0 0 0 1 1 1 1 1 1 1
Georgia 73 46 37 33 31 21 9 13 17 11 12
Germany 79 3,614 4,053 4,500 4,662 4,985 415 458 605 608 688
Ghana 81 11 10 5 4 4 12 19 29 30 30
Greece 84 136 139 109 108 110 153 108 159 120 145
Guatemala 89 12 24 26 26 27 105 140 151 168 170
Guinea 90 1 2 2 1 1 3 4 6 5 6
Guinea-Bissau 175 10 11 12 12 12 1 1 1 2 2
Guyana 91 1 1 1 1 1 8 12 23 21 25
Haiti 93 23 29 33 33 33 7 8 8 8 8
Honduras 95 8 10 9 9 10 50 70 141 141 145
Hungary 97 619 598 454 489 499 264 267 246 211 196
Iceland 99 3 5 5 6 6 2 3 6 7 8

24. India 100 495 477 497 497 497 583 1,050 1,900 2,000 2,240
Indonesia 101 611 460 550 588 597 861 770 1,126 1,260 1,296
Iran, Islamic Republic 102 633 804 1,237 1,360 1,423
of
Iraq 103 36 69 85 60 97
Ireland 104 213 240 205 209 205 70 89 78 97 100
Israel 105 10 13 19 18 18 163 259 370 402 420
Italy 106 1,375 1,487 1,515 1,559 1,603 810 782 695 628 733
Jamaica 109 7 7 9 8 7 48 78 102 105 107
Japan 110 1,318 1,255 1,245 1,247 1,251 1,248 1,208 1,273 1,367 1,366
Jordan 112 101 115 133 116 133
Kazakhstan 108 127 137 197 193 194 58 32 46 65 64
Kenya 114 9 13 13 17 16 18 16 18 22 24
Korea, Democratic 116 118 140 168 170 175 23 27 35 34 33
People's Republic of
Korea, Republic of 117 824 947 899 1,000 1,043 380 380 484 510 513
Kuwait 118 27 38 32 42 42
Kyrgyzstan 113 25 26 19 20 16 4 5 5 5 7
Lao People's 120 28 30 39 43 47 9 10 15 16 17
Democratic Republic
Latvia 119 52 33 38 38 40 10 7 17 21 21
Lebanon 121 4 2 1 1 1 59 107 130 137 130
Lesotho 122 2 3 6 4 4 2 2 2 2 2
Liberia 123 4 4 4 5 6 5 6 8 9 9
Libyan Arab Jamahiriya 124 96 99 99 99 100
Lithuania 126 88 83 119 106 99 25 26 57 61 63
Luxembourg 256 12 11 10 10 15 0 0 0
Macedonia, The Former 154 9 9 9 9 9 5 5 4 4 4
Yugoslav Republic of
Madagascar 129 63 27 51 53 54 23 32 36 40 40
Malawi 130 14 20 22 21 25 14 15 16 15 15
Malaysia 131 282 168 197 197 192 657 670 860 922 931
Mali 133 2 2 3 3 2 25 29 36 37 38
Malta 134 9 10 9 8 8 5 6 5 4 5
Mauritania 136 4 4 4 4 4
Mauritius 137 1 1 1 1 1 20 23 33 36 40
Mexico 138 902 1,027 1,103 1,109 1,152 1,225 1,828 2,437 2,464 2,542
Moldova, Republic of 146 61 51 40 48 59 22 17 28 31 32
Mongolia 141 1 1 0 0 0 0 0 0 0 0
Montenegro 273 2 2
Morocco 143 1 1 1 1 1 190 255 370 370 380
Mozambique 144 12 13 14 13 13 30 31 34 40 40
Myanmar 28 115 127 328 370 411 98 210 561 650 726
Namibia 147 2 2 2 2 2 3 8 10 5 5
Nepal 149 11 15 16 16 16 9 13 15 16 16
Netherlands 150 1,640 1,589 1,297 1,265 1,290 611 699 628 621 610
New Caledonia 153 1 1 2 2 2 1 1 1 1 1
New Zealand 156 50 47 50 51 51 83 108 157 149 147
Nicaragua 157 5 6 7 7 7 28 47 71 84 90
Niger 158 1 1 1 1 1 10 11 12 14 14
Nigeria 159 129 159 193 201 209 169 172 219 232 243
Norway 162 97 107 113 116 118 29 41 50 55 63
Occupied Palestinian 299 44 74 69 54 69
Territory

25. Oman 221 4 4 6 6 6
Pakistan 165 320 325 384 512 554
Panama 166 17 20 21 25 27 51 80 95 96 97
Papua New Guinea 168 51 60 68 68 68 5 5 6 6 6
Paraguay 169 166 153 152 152 133 31 36 37 37 37
Peru 170 80 91 103 109 115 353 535 733 710 770
Philippines 171 976 1,217 1,415 1,467 1,617 406 539 650 643 662
Poland 173 1,902 1,938 1,956 2,098 2,151 345 589 796 824 825
Portugal 174 315 331 327 339 364 193 228 198 193 200
Qatar 179 4 4 5 5 5
Romania 183 693 519 436 452 470 280 271 309 273 312
Russian Federation 185 1,891 1,517 1,520 1,641 1,873 872 788 1,346 1,580 1,869
Rwanda 184 3 3 6 5 5 1 2 2 2 2
Saint Kitts and Nevis 188 0 0 0 0 0 0 0 0 0 0
Saint Lucia 189 1 1 1 1 1 1 1 1 1 1
Saint Vincent and the 191 1 1 1 1 1 0 0 0 0 0
Grenadines
Samoa 244 3 4 4 4 4 0 0 1 0 0
Sao Tome and Principe 193 0 0 0 0 0 0 1 1 1 1
Saudi Arabia 194 311 469 537 548 559
Senegal 195 4 8 10 10 10 16 23 29 32 37
Serbia 272 255 289 75 70
Serbia and Montenegro 186 630 617 562 83 68 67
Seychelles 196 1 1 1 1 1 1 1 1 1 1
Sierra Leone 197 2 2 2 2 2 9 10 11 11 11
Singapore 200 86 25 20 16 19 79 87 76 76 83
Slovakia 199 246 179 140 122 114 38 59 87 86 83
Slovenia 198 65 66 63 61 57 53 45 46 44 53
Solomon Islands 25 2 2 2 2 2 0 0 0 0 0
Somalia 201 0 0 0 0 0 3 3 4 4 4
South Africa 202 124 113 147 151 150 602 805 949 971 974
Spain 203 2,218 2,929 3,168 3,235 3,544 874 985 1,084 1,065 1,131
Sri Lanka 38 2 2 2 2 2 54 67 97 79 100
Sudan 206 25 26 31 30 25
Suriname 207 1 1 2 1 2 4 4 7 6 6
Swaziland 209 1 1 1 1 1 1 5 7 5 5
Sweden 210 312 293 275 264 265 79 93 96 96 97
Switzerland 211 239 229 236 244 242 36 45 58 48 58
Syrian Arab Republic 212 81 108 163 175 175
Tajikistan 208 0 2 3 1 0 0 1 1
Tanzania, United 215 10 13 13 13 13 32 42 52 53 46
Republic of
Thailand 216 497 520 669 865 880 909 1,133 950 962 986
Timor-Leste 176 7 7 10 10 10 1 1 2 2 2
Togo 217 5 6 8 8 9 7 12 18 19 21
Tonga 219 1 1 1 2 2 0 0 0 0 0
Trinidad and Tobago 220 2 2 3 3 3 29 38 58 58 60
Tunisia 222 0 0 0 0 0 54 87 87 66 90
Turkey 223 1 0 0 461 618 937 918 1,068
Turkmenistan 213 3 1 0 0 0 3 6 14 14 13
Uganda 226 67 78 98 60 60 36 43 38 38 38
Ukraine 230 837 641 494 526 635 239 212 497 589 689
United Arab Emirates 225 25 28 34 36 36

26. United Kingdom 229 1,027 906 706 697 739 1,091 1,230 1,334 1,289 1,270
United States of 231 7,963 8,682 9,383 9,550 9,953 11,508 13,943 15,869 15,930 16,211
America
Uruguay 234 22 25 20 19 21 39 57 48 63 45
Uzbekistan 235 15 15 16 18 18 17 16 21 23 22
Vanuatu 155 3 3 3 3 3 0 1 1 1 1
Venezuela 236 134 124 126 137 153 439 735 739 707 777
Viet Nam 237 1,006 1,414 2,288 2,505 2,553 129 289 322 344 359
Yemen 249 53 69 113 118 123
Zambia 251 10 10 11 11 11 26 35 39 37 37
Zimbabwe 181 12 21 30 28 28 19 29 53 40 40
World 5001 79,777 90,025 99,197 100,339 99,212 45,972 58,674 71,412 72,396 75,826
Table I.09. Production of Beef and Sheep, Goat Meat
PRODUCTION OF SHEEP AND
PRODUCTION OF CATTLE MEAT
FAO Statistical Yearbook GOAT MEAT
2009 (1000 tonnes) (1000 tonnes)
1994- 1999- 1994- 1999-
COUNTRIES 2005 2006 2007 2005 2006 2007
1996 2001 1996 2001
Afghanistan 129 128 141 117 137 138 172 134 119 109
Albania 31 35 41 49 50 18 19 20 21 20
Algeria 100 118 120 122 121 182 176 191 199 196
American Samoa 0 0 0 0 0
Angola 67 85 85 85 85 7 11 10 11 11
Antigua and Barbuda 1 0 1 1 1 0 0 0 0 0
Argentina 2,722 2,633 2,980 2,800 2,830 84 57 61 61 62
Armenia 31 31 34 40 43 7 6 8 7 7
Australia 1,791 2,039 2,162 2,077 2,226 624 684 615 643 701
Austria 210 207 204 216 218 7 8 7 8 6
Azerbaijan 43 55 71 73 75 24 35 42 44 45
Bahamas 0 0 0 0 0 0 0 0 0 0
Bahrain 1 1 1 1 1 8 7 7 7 7
Bangladesh 149 172 183 184 186 108 131 172 185 198
Barbados 1 1 0 0 0 0 0 0 0 0
Belarus 325 235 256 272 274 4 3 1 1 1
Belgium 280 267 269 273 5 3 1 1
Belize 1 1 2 2 2 0 0 0 0 0
Benin 16 19 22 23 23 6 6 7 7 7
Bhutan 6 5 5 5 5 0 0 0 0 0
Bolivia 140 159 175 170 170 19 22 24 24 24
Bosnia and Herzegovina 17 15 24 22 24 1 1 2 2 2
Botswana 43 30 35 35 35 8 7 7 7 7
Brazil 5,678 6,605 8,592 6,887 7,049 117 101 105 106 120
Brunei Darussalam 1 4 2 3 2 0 0 0 0 0
Bulgaria 76 63 30 23 22 49 56 24 24 21
Burkina Faso 67 84 106 111 116 33 38 44 45 46
Burundi 10 9 11 8 7 5 4 5 3 2
Cambodia 39 52 57 60 61

27. Cameroon 74 93 94 94 94 28 31 32 32 32
Canada 948 1,263 1,464 1,327 1,279 10 12 18 17 18
Cape Verde 0 0 1 1 1 0 0 1 1 1
Central African Republic 51 62 75 75 74 8 11 13 13 13
Chad 62 76 82 84 86 23 31 35 36 38
Chile 252 223 216 238 242 15 17 15 17 16
China 3,055 4,745 5,357 5,499 5,849 1,682 2,643 3,504 3,642 3,830
Colombia 693 720 792 790 790 13 13 17 13 14
Comoros 1 1 1 1 1 0 0 0 0 0
Congo 1 2 2 2 2 1 1 1 1 1
Congo, Democratic Republic of the 16 14 12 12 12 23 22 21 20 21
Costa Rica 95 80 81 75 81 0 0 0 0 0
Côte d'Ivoire 35 33 30 31 29 11 11 12 12 9
Croatia 25 27 33 59 55 2 3 3 3 3
Cuba 68 76 60 56 54 4 7 10 9 10
Cyprus 5 4 4 4 4 8 11 7 7 7
Czech Republic 168 113 81 80 79 4 2 1 2 2
Denmark 183 155 136 129 130 2 2 2 2 2
Dominica 0 1 1 1 1 0 0 0 0 0
Dominican Republic 80 68 73 84 101 1 1 2 2 2
Ecuador 143 174 209 211 233 7 12 13 13 13
Egypt 223 245 320 320 320 90 78 61 61 61
El Salvador 28 35 27 31 34 0 0 0 0 0
Equatorial Guinea 0 0 0 0 0 0 0 0 0 0
Eritrea 11 16 17 17 17 10 12 13 11 11
Estonia 26 17 13 15 15 1 0 0 1 1
Ethiopia 244 296 350 374 350 61 64 117 134 124
Fiji 9 9 8 8 8 1 1 1 1 1
Finland 100 91 87 87 89 1 1 1 1 1
France 1,682 1,568 1,517 1,473 1,532 150 140 107 107 102
French Polynesia 0 0 0 0 0 0 0 0 0 0
Gabon 1 1 1 1 1 1 1 1 1 1
Gambia 3 3 3 3 3 1 1 1 1 1
Georgia 50 46 49 33 31 8 8 10 3 4
Germany 1,437 1,346 1,167 1,193 1,186 42 46 50 24 26
Ghana 21 23 25 24 24 12 18 22 22 22
Greece 71 63 72 73 73 143 131 150 152 153
Guatemala 53 62 63 65 65 3 2 2 2 2
Guinea 24 32 41 44 47 5 8 11 12 13
Guinea-Bissau 4 4 5 5 5 1 2 2 2 2
Guyana 4 2 2 2 2 1 1 1 1 1
Haiti 27 37 44 42 42 4 7 7 7 7
Honduras 68 55 73 73 75 0 0 0 0 0
Hungary 60 57 32 34 35 2 4 1 1 1
Iceland 3 4 4 3 4 9 9 9 9 9
India 1,365 1,439 1,334 1,289 1,282 663 620 762 774 777
Indonesia 332 329 359 396 339 98 83 117 140 120
Iran, Islamic Republic of 270 276 344 356 360 376 425 462 495 496
Iraq 41 47 44 54 50 29 28 23 28 28
Ireland 486 600 546 572 581 91 84 73 70 66

28. Israel 42 58 90 108 105 7 8 9 9 9
Italy 1,177 1,150 1,102 1,109 1,119 78 70 62 61 61
Jamaica 16 14 10 6 6 0 1 1 1 1
Japan 586 510 499 497 504 0 0 0 0 0
Jordan 4 6 4 4 4 12 6 10 7 7
Kazakhstan 551 313 348 367 386 208 97 107 115 124
Kenya 244 273 396 430 445 58 62 79 121 124
Korea, Democratic People's Republic of 28 20 21 22 22 6 11 13 14 14
Korea, Republic of 228 294 195 200 219 3 3 3 3 2
Kuwait 2 2 2 2 2 42 33 35 31 31
Kyrgyzstan 84 99 91 91 89 62 45 46 46 45
Lao People's Democratic Republic 12 17 22 23 23 0 0 1 1 1
Latvia 48 21 20 21 23 1 0 0 0 0
Lebanon 21 51 69 53 53 12 13 11 17 17
Lesotho 11 10 10 3 11 6 6 6 7 6
Liberia 1 1 1 1 1 1 1 1 1 2
Libyan Arab Jamahiriya 19 10 6 6 6 38 34 30 34 34
Lithuania 95 67 62 47 56 2 1 1 1 1
Luxembourg 14 17 16 16 0 0 0 0
Macedonia, The Former Yugoslav Republic
of 7 7 8 7 7 11 5 7 7 6
Madagascar 146 138 134 147 147 10 8 9 9 9
Malawi 18 17 21 24 27 4 8 11 15 18
Malaysia 16 16 22 22 22 1 1 1 1 1
Mali 56 66 108 106 112 42 51 60 73 78
Malta 2 2 1 1 1 0 0 0 0 0
Mauritania 10 19 26 26 26 23 34 39 39 40
Mauritius 3 3 4 2 2 0 0 0 0 0
Mexico 1,369 1,418 1,558 1,613 1,635 67 72 89 91 91
Moldova, Republic of 49 18 16 15 15 3 3 2 2 2
Mongolia 75 95 47 44 47 115 118 102 88 107
Montenegro 3 3 1 1
Morocco 117 140 157 160 169 123 146 137 143 142
Mozambique 14 12 17 16 29 18 25 26 25 26
Myanmar 95 102 106 120 130 8 11 21 24 27
Namibia 48 55 39 36 42 9 11 12 13 13
Nepal 45 48 49 49 50 34 40 44 46 48
Netherlands 588 450 396 384 386 17 18 14 16 17
New Caledonia 4 4 4 3 3 0 0 0 0 0
New Zealand 598 575 652 643 632 524 539 544 544 575
Nicaragua 50 51 76 85 93 0 0 0 0 0
Niger 77 119 170 177 190 52 63 83 85 88
Nigeria 270 285 261 284 287 222 338 394 406 415
Norway 85 91 87 88 85 27 24 26 25 24
Occupied Palestinian Territory 11 12 5 5 5 15 10 16 18 18
Oman 4 4 4 4 4 17 18 33 35 36
Pakistan 338 420 464 632 656 584 468 532 422 407
Panama 62 69 66 67 67
Papua New Guinea 2 3 3 3 3 0 0 0 0 0
Paraguay 193 226 230 232 234 3 3 4 4 4
Peru 106 129 153 163 163 26 38 40 41 41