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E

COMMISSION ON GENETIC RESOURCES

FOR FOOD AND AGRICULTURE

Item 3.3 of the Provisional Agenda

Fifteenth Regular Session

Rome, 19 – 23 January 2015

STATUS AND TRENDS

OF ANIMAL GENETIC RESOURCES - 20141

TABLE OF CONTENTS

Pages

I. Introduction ..................................................................................................................................... 1

II. State of reporting ............................................................................................................................. 1

III. Breed diversity ................................................................................................................................. 3

IV. Risk status of animal genetic resources ......................................................................................... 10

V. Trends in breed status and diversity .............................................................................................. 19

VI. Conclusions ................................................................................................................................... 21

Annex 1 ................................................................................................................................................. 22

Annex 2 ................................................................................................................................................. 30

Tables

1. Status of information recorded in the Global Databank for Animal Genetic Resources ................. 2

2a. Mammalian species – number of reported local breeds ................................................................... 5

2b. Mammalian species – number of reported local breeds categorized as locally adapted .................. 6

3a. Avian species – number of reported local breeds ............................................................................ 6

3b. Avian species – number of reported local breeds categorized as locally adapted ............................ 6

4a. Mammalian species – number of reported regional transboundary breeds ...................................... 7

1 Based on data reported by National Coordinators for the Management of Animal Genetic Resources to DAD-IS

by June 2014.

ii CGRFA-15/15/Inf.18

4b. Mammalian species – number of reported regional transboundary breeds categorized as locally

adapted ............................................................................................................................................. 7

4c. Mammalian species – number of reported regional transboundary breeds categorized as mixed ... 8

4d. Mammalian species – number of reported regional transboundary breeds categorized as exotic ... 8

5a. Avian species – number of reported regional transboundary breeds ............................................... 8

5b. Avian species – number of reported regional transboundary breeds categorized as locally adapted

.......................................................................................................................................................... 8

5c. Avian species – number of reported regional transboundary breeds categorized as mixed ............. 9

6. Mammalian species – number of reported international transboundary breeds by adaptedness

classification ..................................................................................................................................... 9

7. Avian species – number of reported international transboundary breeds by breed classification ... 9

8. Number of extinct mammalian breeds – number of locally adapted breeds in brackets ................ 18

9. Number of extinct avian breeds (all locally adapted)..................................................................... 18

10. Years of extinction ......................................................................................................................... 18

Figures

1. Proportion of national breed populations for which population figures have been reported ........... 2

2. Countries with updated population data since 1st March 2007 ........................................................ 3

3. Number of local/ransboundary and locally adapted / exotic breeds at global level ......................... 4

4. Number of local /transboundary and locally adapted/ exotic breeds at regional level ..................... 4

5. Number of the world’s breeds in different breed classes and risk-status category ........................ 10

6a. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage (chart)

figures by species ........................................................................................................................... 12

6b. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage (chart)

figures by species – locally adapted category ................................................................................ 12

6c. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage (chart)

figures by species – mixed category .............................................................................................. 13

7a. Risk status of the world’s avian breeds in June 2014: absolute (table) and percentage (chart)

figures by species ........................................................................................................................... 13

7b. Risk status of the world’s avian breeds in June 2014: absolute (table) and percentage (chart)

figures by species – locally adapted category ................................................................................ 14

7c. Risk status of the world’s avian breeds in June 2014: absolute (table) and percentage (chart)

figures by species – mixed category .............................................................................................. 14

8a. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage (chart)

figures by region ............................................................................................................................ 15

8b. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage (chart)

figures by region – locally adapted category ................................................................................. 15

8c. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage (chart)

figures by region – mixed category ................................................................................................ 16

9a. Risk status of the world’s avian breeds June 2014: absolute (table) and percentage (chart) figures

by region ........................................................................................................................................ 16

9b. Risk status of the world’s avian breeds June 2014: absolute (table) and percentage (chart) figures

by region – locally adapted category.............................................................................................. 17

9c. Risk status of the world’s avian breeds June 2014: absolute (table) and percentage (chart) figures

by region – mixed category ............................................................................................................ 17

CGRFA-15/15/Inf.18 iii

10. Number of individuals belonging to locally adapted, mixed or exotic breed category – 2005 to

2014 ................................................................................................................................................ 19

11. Changes in risk status of breeds from 2006 to 2014 ...................................................................... 20

12a. Trends in risk status of local breeds and number of local breeds with unknown risk status from

2005 to 2014 ................................................................................................................................... 20

12b. Trends in risk status of transboundary breeds and number of transboundary breeds with unknown

risk status from 2005 to 2014 ......................................................................................................... 21

iv CGRFA-15/15/Inf.18

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The general FAO Terms and Conditions can be found at the following URL: http://data.fao.org/terms

The source for names of administrative units is the Food and Agriculture Organization Names of Countries and

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been added based on the United Nations Cartographic Section, Department of Field Support maps. More

information can be found using the following resources:

Names of Countries and Territories (NOCS)

Food and Agriculture Organization of the United Nations (UNFAO)

http://termportal.fao.org/faonocs/appl/

Global Administrative Unit Layers (GAUL)

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http://www.fao.org/geonetwork/srv/en/main.home?uuid=f7e7adb0-88fd-11da-a88f-000d939bc5d8

United Nations Cartographic Section, Department of Field Support.

http://www.un.org/Depts/Cartographic/english/htmain.htm

http://termportal.fao.org/faonocs/appl/

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http://www.un.org/Depts/Cartographic/english/htmain.htm

CGRFA-15/15/Inf.18 1

I. Introduction

In line with the request of the Twelfth Regular Session of the Commission on Genetic Resources for

Food and Agriculture, this report follows the structure set out in the document Format and content of

future status and trends reports on animal genetic resources,2 taking into account the amendments

requested by the Commission at its Fourteenth Regular Session. The analysis is based on FAO’s

Global Databank for Animal Genetic Resources, backbone of the Domestic Animal Diversity

Information System (DAD-IS). It updates the data published in the report Status and trends of animal

genetic resources – 2012.3

Prior to the analysis, all National Coordinators for the Management of Animal Genetic Resources

were asked to update their national data as fully as possible by a set deadline and were reminded of the

need to enter data related to the new locally adapted versus exotic breed classification set out in the

document Report of a consultation on the definition of breed categories4 and that they also have the

option of indicating that a given locally adapted breed is native to the respective country.

The present report begins by describing the state of reporting on animal genetic resources, and the

progress made in this respect during the reporting period. A description of the current regional

distribution of livestock species and breeds is then presented, followed by an overview of the risk

status of the world’s livestock breeds and trends in risk status over the reporting period. In line with

the Commission’s request, a cut-off point of ten years has been introduced into the calculation of

trends in risk status and diversity: Any breed for which no population data have been reported for ten

years is now considered to be of unknown risk status. Trends were calculated on the basis of the most

up-to-date current and historical data available in DAD-IS as of 18 June 2014. The report presents the

set of resource indicators set out in the document Targets and indicators for animal genetic resources5

and agreed upon by the Commission at its Fourteenth Regular Session. The annexes to the report

provide a detailed breakdown of the state of reporting, by country and by region.

II. State of reporting

The Global Databank for Animal Genetic Resources currently contains data from 182 countries and 38

species. The total number of national breed populations recorded in the Global Databank has increased

during the reporting period (Table 1). The total number of mammalian national breed populations

recorded in June 2014 was 11 062, as compared 10 712 in June 2012. The total number of avian

national breed populations recorded in 2014 was 3 807, as compared to 3 482 in 2012.

Since 2012, the percentage of avian national breed populations for which any population data

(including also those were no updates have been provided during the last ten years) are available has

increased from 48 percent to 56 percent, while in the case of mammals there has been an improvement

from 57 percent to 60 percent not applying the ten year cut-off point as described above (Table 1).

Twenty-seven countries updated their national data in 2013 and 53 in 2014. However, for 78 percent

of national breed populations, no data on population size have been reported for any of the last four

years (2011, 2012, 2013 and 2014). Figure 1 provides a regional breakdown of the reporting figures.

The number of breed populations recorded by countries in the European and the Caucasus region has

increased by 265 for avian breeds and 315 for mammalian breeds compared to 2012. Despite this large

increase in the number of breed populations reported, the percentage of breed populations for which

population figures have been reported stayed the same as in 2012 (84 percent) for mammalian breed

populations and increased for avian breed populations from 65 percent in 2012 to 77 percent in 2014.

However, updating activities differ significantly between countries and regions. Figure 2 provides

insight into the global updating activities of population size data since March 2007, revealing big gaps

in many regions of the world.

In line with the Commission’s request, DAD-IS has been further developed so as to allow the entry of

data indicating whether breed populations are locally adapted or exotic to the respective country.

National Coordinators were invited to enter these data for all their national breed populations. By June

2014, 12 504 national breeed populations remained unclassified by National Coordinators. Because

2 CGRFA/WG-AnGR-5/09/3.2

(http://www.fao.org/ag/againfo/programmes/en/genetics/documents/ITWG_AnGR_5_09_3_2.pdf). 3 CGRFA-13/11/Inf.17 (http://www.fao.org/docrep/meeting/022/am649e.pdf).

4 CGRFA/WG-AnGR-7/12/Inf.7

5 CGRFA/WG-AnGR-7/12/7

2 CGRFA-15/15/Inf.18

such a large number of unclassified breed populations would have precluded any interpretation of

indicators that involve the use of the new breed classification, the empty breed classification fields

were provisionally filled for the purpose of calculating and testing these indicators. Based on the

assumption that local and regional transboundary breeds are more likely to be locally adapted than

international transbondary breeds, unclassified breeds belonging to the first two distribtional

categories were assigned to the locally adapted category and international transboundary breeds

assigned to the exotic category. Due to the lack of data regarding the adaptedness class of breeds

provided by National coordinators, figures and tables based on this classification system can only be

considered as examples for presenting such type of data in future reports.

Table 1. Status of information recorded in the Global Databank for Animal Genetic Resources

Year of analysis

Mammalian species Avian species

Countries covered

Number of national breed

populations

% with population

data

Number of national breed

populations

% with population data

1993 2719 53 - - 131

1995 3019 73 863 85 172

1999 5330 63 1049 77 172

2006 10512 43 3505 39 181

2008 10550 52 3450 47 181

2010 10507 54 3414 47 182

2012 10712 57 3482 48 182

2014 11062 60 3807 56 182

No data recorded for Andorra, Brunei Darussalam, Liechtenstein, Marshall Islands, Micronesia (Federated States of),

Monaco, Nauru, Qatar, San Marino, Singapore, South Sudan, Timor-Leste, United Arab Emirates, Western Sahara.

Figure 1. Proportion of national breed populations for which population figures have been

reported


Figure 2. Countries with updated population data since 1st March 2007

Countries with updated population data Countries without single update of population data

III. Breed diversity

A global total of 8 774 breeds (compared to 8 262 in 2012 and 8 054 in 2010) have been reported;

7 718 are local breeds (compared to7 020 in 2012 and 7 001 in 2010) and 1 056 are transboundary

breeds (compared to and 1 060 in 2014 and 1 053 in 2010). Among the transboundary breeds, 510

(compared to 509 in 2012 and 504 in 2010) are regional transboundary breeds (occur in only one

region) and 546 (compared to 551 in 2012 and 549 in 2010) are international transboundary breeds

(occur in more than one region). A total of 647 breeds (compared to of 628 in 2012 and 631 in 2010)

are classified as extinct, of which 4 (compared to 7 in 2012 and 2010) are transboundary breeds (3

regional and 1 international). In the following analysis of breed diversity, extinct breeds are excluded.

Figure 3 shows, in the inner ring, the share of local, regional transboundary and international

transboundary breeds among the mammalian and avian breeds of the world. More than two-thirds of

reported breeds are mammalian. Among mammals, the number of regional transboundary breeds is

slightly higher than the number of international transboundary breeds. Conversely, in avian species,

there are twice as many international transboundary breeds as there are regional transboundary breeds.

The outer ring of Figure 3 shows the number of breeds that are classified as locally adapted and the

number classified as exotic. The “mixed” category refers to transboundary breeds whose national

populations are not all assigned to the same adaptedness category. As many breed classifications

remain provisional (see above), the results must be interpreted with caution. However, the majority of

breeds reported to DAD-IS seem to be locally adapted.

In all regions of the world, mammalian breeds outnumber avian breeds (Figure 4, inner ring). There is,

however, considerable variation between regions in terms of the shares of locally adapted and exotic

breeds in the total number of breeds. In Europe and the Caucasus, Asia, and the Near and Middle East,

locally adapted breeds make up between 80 and 87 percent of all breeds. In Africa, and Latin America

and the Caribbean, the share of locally adapted breeds is smaller, but still exceeds 60 percent of all

breeds. Conversely, breeds of exotic or mixed category make up more than 50 percent of the total in

the Southwest Pacific and North America (Figure 4, outer ring).

Regional transboundary mammalian breeds are relatively numerous in Europe and the Caucasus. It is

only in Europe and the Caucasus that there are a significant number of regional transboundary avian

breeds.


Figure 3. Number of local/ransboundary and locally adapted / exotic breeds at global level

International transboundary mammalian breeds

Exotic

Regional transboundary mammalian breeds

Locally adapted

Local mammalian breeds

Mixed

International transboundary avian breeds

Regional transboundary avian breeds

Local avian breeds

Figure 4. Number of local /transboundary and locally adapted/ exotic breeds at regional level


Note that international transboundary breeds are counted in each region where they occur. Therefore, for this

category of breeds, the global total is not the sum of the regional totals.

Tables 2a and 3a, respectively, show the number of reported local breeds of mammalian and avian

species for each region of the world. For most livestock species, Europe and the Caucasus or Asia has

the highest number of local breeds. The dromedary, with most local breeds located in Africa and the

Near and Middle East, and the guinea pig, with most local breeds located in Latin America and the

Caribbean, are exceptions to this pattern. The totals in some categories have fallen, because countries

have corrected their inventories. Tables 2b and 3b, respectively, show, for each region of the world,

the number of reported local breeds of mammalian and avian species that are classified as locally

adapted. The figures in tables 2a and 3a differ only slightly from those in 2b and 3b, respectively. As

described above, local breeds that, at the time the analysis was undertaken, had not been categorized

by National Coordinators were all provisionally assigned to the locally adapted category.

Table 2a. Mammalian species – number of reported local breeds

Species Africa Asia Europe &

the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Ass 20 39 50 24 16 5 3 157

Bactrian camel 0 9 3 0 0 0 0 12

Buffalo 2 90 9 11 8 1 2 123

Cattle 176 241 369 141 43 17 32 1019

Dromedary 46 13 1 0 23 0 2 85

Goat 96 183 218 28 34 6 11 576

Guinea pig 4 0 0 13 0 0 0 17

Horse 40 138 371 84 14 22 25 694

Pig 53 214 188 60 1 12 15 543

Rabbit 11 16 186 18 5 0 0 236

Sheep 117 262 613 51 53 21 38 1155

Yak 0 25 2 0 0 1 0 28

Others 8 16 76 15 0 4 8 127

Total 573 1246 2086 445 197 89 136 4772

Note :Figures exclude extinct breeds. Figures for Alpaca, American bison, deer, dog, dromedary × Bactrian

camel, guanaco, llama and vicuña are combined in the “others” category


Table 2b. Mammalian species – number of reported local breeds categorized as locally adapted


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Ass 20 39 50 23 16 5 3 156

Bactrian camel 0 9 3 0 0 0 0 12

Buffalo 2 89 8 11 8 1 2 121

Cattle 175 239 327 131 43 17 32 964

Dromedary 46 13 1 0 23 0 2 85

Goat 95 180 209 28 33 6 11 562

Guinea pig 4 0 0 13 0 0 0 17

Horse 40 137 332 77 14 22 25 647

Pig 52 214 179 59 1 12 15 532

Rabbit 11 16 184 10 5 0 0 226

Sheep 117 260 583 43 52 21 38 1114

Yak 0 25 1 0 0 1 0 27

Others 8 16 76 15 0 4 8 127

Total 570 1237 1953 410 195 89 136 4590

Note: Figures exclude extinct breeds. Figures for Alpaca, American bison, deer, dog, dromedary × Bactrian

camel, guanaco, llama and vicuña are combined in the “others” category

Table 3a. Avian species – number of reported local breeds


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Chicken 129 305 912 88 35 15 30 1514

Duck 15 92 107 22 4 1 12 253

Goose 10 44 119 5 2 0 2 182

Muscovy duck 5 9 6 1 1 0 2 24

Ostrich 6 2 3 0 0 0 1 12

Partridge 2 8 2 0 0 0 0 12

Pheasant 0 7 5 6 0 0 0 18

Pigeon 7 12 35 7 8 1 2 72

Turkey 11 11 40 11 3 11 5 92

Others 39 27 31 12 1 14 0 124

Total 224 517 1260 152 54 42 54 2303

Note: Figures exclude extinct breeds. Figures for cassowary, Chilean tinamou, duck × Muscovy duck, emu,

guinea fowl, ñandu, peacock, quail and swallow are combined in the “others” category.

Table 3b. Avian species – number of reported local breeds categorized as locally adapted


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Chicken 123 295 902 77 35 15 30 1477

Duck 15 91 107 19 4 1 12 249

Goose 10 44 119 5 2 0 2 182

Muscovy duck 5 9 6 1 1 0 2 24

Ostrich 6 2 3 0 0 0 1 12

Partridge 2 8 2 0 0 0 0 12

Pheasant 0 7 5 1 0 0 0 13

Pigeon 7 12 35 2 8 1 2 67

Turkey 11 11 39 9 3 11 5 89

Others 38 27 31 11 1 14 0 122

Total 217 506 1249 125 54 42 54 2247

Note: Figures exclude extinct breeds. Figures for cassowary, Chilean tinamou, duck × Muscovy duck, emu,

guinea fowl, ñandu, peacock, quail and swallow are combined in the “others” category.


Tables 4a and 5a, respectively, show the number of reported regional transboundary breeds of

mammalian and avian species in each region of the world. For several mammalian species, including

sheep, horses and pigs, Europe and the Caucasus, has the highest number of regional transboundary

breeds. Africa has a relatively large share of regional transboundary breeds in most of these species.

Africa has more regional transboundary breeds of cattle and goats than any other region. Europe and

the Caucasus, however, has by far the highest number of regional transboundary breeds among avian

species.

The existence of significant numbers of regional transboundary breeds has implications for

management and conservation of animal genetic resources, and highlights the need for cooperation at

regional or subregional levels.

Tables 4b to 4d and 5b to 5d, respectively, show the number of reported regional transboundary breeds

of mammalian and avian species in each region of the world that are classified as locally adapted,

mixed and exotic. At this stage, because most national breed populations have not been categorized by

their respective National Coordinators, the figures mainly reflect the assumption that regional

transboundary breeds can be considered to be locally adapted.

Table 4a. Mammalian species – number of reported regional transboundary breeds


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Ass 3 3 1 1 0 0 0 8

Buffalo 0 9 1 1 0 0 0 11

Cattle 36 20 30 6 1 2 1 96

Deer 0 1 1 0 0 0 0 2

Dromedary 1 1 0 0 0 0 0 2

Goat 16 12 14 2 0 5 1 50

Guinea pig 0 0 0 1 0 0 0 1

Horse 7 10 36 4 0 4 0 61

Pig 3 2 17 5 0 2 0 29

Rabbit 3 0 32 1 0 0 0 36

Sheep 24 14 74 3 4 6 3 128

South American camelids

0 0 0 3 0 0 0 3

Total 93 72 206 27 5 19 5 427

Note: Figures exclude extinct breeds.

Table 4b. Mammalian species – number of reported regional transboundary breeds categorized

as locally adapted


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Ass 3 3 0 1 0 0 0 7

Buffalo 0 9 1 1 0 0 0 11

Cattle 35 20 19 4 1 2 1 82

Deer 0 1 1 0 0 0 0 2

Dromedary 1 1 0 0 0 0 0 2

Goat 16 12 13 2 0 5 1 49

Guinea pig 0 0 0 1 0 0 0 1

Horse 7 10 26 4 0 4 0 51

Pig 3 2 16 4 0 2 0 27

Rabbit 3 0 16 0 0 0 0 19

Sheep 24 14 45 2 4 6 3 98

South American camelids

0 0 0 3 0 0 0 3

Total 92 72 137 22 5 19 5 352



Table 4c. Mammalian species – number of reported regional transboundary breeds categorized

as mixed


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Ass 0 0 1 0 0 0 0 1

Cattle 1 0 7 2 0 0 0 10

Goat 0 0 1 0 0 0 0 1

Horse 0 0 8 0 0 0 0 8

Rabbit 0 0 13 1 0 0 0 14

Sheep 0 0 24 1 0 0 0 25

Total 1 0 54 4 0 0 0 59


Table 4d. Mammalian species – number of reported regional transboundary breeds categorized

as exotic


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Cattle 0 0 4 0 0 0 0 4

Horse 0 0 2 0 0 0 0 2

Pig 0 0 1 1 0 0 0 2

Rabbit 0 0 3 0 0 0 0 3

Sheep 0 0 5 0 0 0 0 5

Total 0 0 15 1 0 0 0 16


Table 5a. Avian species – number of reported regional transboundary breeds


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Chicken 4 3 42 0 0 0 0 49

Duck 0 2 12 0 0 0 0 14

Goose 0 2 7 0 0 0 0 9

Quail 0 1 0 0 0 0 0 1

Turkey 0 0 7 0 0 0 0 7

Total 4 8 68 0 0 0 0 80


Table 5b. Avian species – number of reported regional transboundary breeds categorized as

locally adapted


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Chicken 4 3 42 0 0 0 0 49

Duck 0 2 12 0 0 0 0 14

Goose 0 2 7 0 0 0 0 9

Quail 0 1 0 0 0 0 0 1

Turkey 0 0 4 0 0 0 0 4

Total 4 8 65 0 0 0 0 77



Table 5c. Avian species – number of reported regional transboundary breeds categorized as

mixed


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Turkey 0 0 3 0 0 0 0 3

Total 0 0 3 0 0 0 0 3

Tables 6 and 7, respectively, show the numbers of reported international transboundary mammalian

and avian breeds falling within each of the adaptedness categories. Cattle, sheep, horses and chickens

are the species that have the highest numbers of international transboundary breeds. Around two-thirds

of international transboundary horse and cattle breeds fall within the “mixed” category. Different

national breed populations within these breeds have been allocated to different categories by the

respective National Coordinators. In the case of sheep, the percentage of breeds falling within the

“mixed” category is also quite high, at 58 percent.

Table 6. Mammalian species – number of reported international transboundary breeds by

adaptedness classification

Species Locally adapted Mixed Exotic Total

Alpaca 0 2 0 2

Ass 1 0 4 5

Bactrian camel 0 0 2 2

Buffalo 0 1 3 4

Cattle 3 71 35 109

Deer 2 1 7 10

Dromedary 0 1 1 2

Goat 2 14 20 36

Horse 1 42 20 63

Pig 2 14 14 30

Rabbit 0 8 15 23

Sheep 1 57 41 99

Total 12 211 162 385


Table 7. Avian species – number of reported international transboundary breeds by breed

classification

Species Locally adapted Mixed Exotic Total

Cassowary 0 0 1 1

Chicken 2 51 53 106

Duck (domestic) 0 2 10 12

Emu 0 0 1 1

Goose (domestic) 0 1 13 14

Guinea fowl 0 0 5 5

Muscovy duck 0 1 0 1

Ostrich 0 0 3 3

Pigeon 0 0 1 1

Turkey 0 11 5 16

Total 2 66 92 160


10 CGRFA-15/15/Inf.18

IV. Risk status of animal genetic resources

As noted above, since the last status and trends report was prepared, the method for assigning breeds

to risk-status categories has been amended by the introduction of a cut-off point of ten years, beyond

which the risk status of a breed is considered to be unknown if no updated population data have been

reported. The results presented in this section are therefore not directly comparable to those presented

in the Status and trends of animal genetic resources – 20126. Trends based on figures that are

comparable over time are presented in Section V of this report.

A total of 1 458 breeds (17 percent of all breeds including those that are extinct) are classified as being

at risk. The percentage of breeds classified as being of unknown risk status has increased from

34 percent in 2012 to 58 percent in 2014, mainly because of the above-mentioned new calculation

method. The figures present a more realistic picture of the state of data availability than the equivalent

figures did in past reports.

The inner ring of the left hand side of Figure 5 shows that, for mammalian species, the proportion of

breeds classified as at risk is lower overall (16 percent) than for avian species (17 percent). However,

in absolute terms, the number of breeds at risk is higher for mammalian species (955 breeds) than for

avian species (503 breeds). Comparing the right and left-hand side of Figure 5 shows that the vast

majority of breeds at risk and almost all extinct breeds are classified as locally adapted breeds.

Figure 6a presents risk-status data for mammalian species. It can be seen that horse, sheep and cattle

are the mammalian species with the highest number of breeds at risk. However, rabbits (45 percent)

followed by horses (22 percent) and asses (17 percent) are the species that have the highest

proportions of breeds at risk. Figure 6a also shows the large number of breeds for which no risk-status

data are available. The problem is particularly significant in some species – 93 percent for deer breeds,

66 percent for ass breeds and 98 percent for dromedary breeds. This lack of data is a serious constraint

to effective prioritization and planning of breed conservation measures. Cattle are the species with the

highest number of breeds (184) reported as extinct. Large numbers of extinct breeds of sheep (160),

pig (107) and horse (87) are also reported. It should be noted that some breeds may have become

extinct before they were documented. Any such breeds will, clearly, be missing from this analysis.

Figures 6b and 6c present risk-status data for mammalian species, broken down by adaptedness

category (locally adapted and mixed) to provide an example on how such complex data can be

illustrated in future.

Among avian species, chickens have by far the highest number of breeds at risk on a world scale

(Figure 7a). As in the case of mammalian species, there are a large number of breeds for which

population figures are unavailable. Extinct breeds have mainly been reported among chickens. There

are also a few cases among ducks, guinea fowl and turkeys.

Figures 6b and 6c present risk-status data for mammalian species, broken down by adaptedness

category (locally adapted and mixed). Figures 7b and 7c present the equivalent figures for avian

species. Figures 8a and 9a show the distribution of breeds at risk by region for mammalian and avian

species. Figures 8b, 8c, 9b and 9c, split the regional presentations into the locally adapted and mixed

categories.

The regions with the highest proportion of their breeds classified as at risk are Europe and the

Caucasus (31 percent of mammalian breeds and 35 percent of avian breeds) and North America

(16 percent of mammalian breeds). These are the regions that have the most highly specialized

livestock industries, in which production is dominated by a small number of breeds. In absolute terms,

the Europe and the Caucasus region has by far the highest number of at-risk breeds. Despite the

apparent dominance of these two regions, problems in other regions may be obscured by the large

number of breeds with unknown risk status. The new method for calculating risk status (based on the

ten-year cut off point) draws attention to the fact that during the ten years up to June 2014 countries

from Latin America and the Caribbean, the Near and Middle East, North America or the Southwest

Pacific reported almost no population data for any avian breeds. Almost all (except one breed in Latin

America and the Caribbean) of the avian breeds from these regions are therefore classified as being of

unknown risk status. Likewise, for more than 90 percent of Africa’s breeds and more than 80 percent

of Asia’s breeds, the lack of recent population data means that no risk status could be assigned.Figure

5. Number of the world’s breeds in different breed classes and risk-status category

6 CGRFA-13/11/Inf.17 (http://www.fao.org/docrep/meeting/022/am649e.pdf).

CGRFA-15/15/Inf.18 11

Unknown Critical Critical-maintained Endangered

Endangered-maintained Not at risk Extinct

Exotic

Locally adapted

Mixed

12 CGRFA-15/15/Inf.18

Figure 6a. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage

(chart) figures by species

Alpaca Ass

Bactrian camel

Buffalo Cattle Deer Drom-edary

Goat Horse Llama Pig Rabbit Sheep Yak Other Total

Unknown 3 115 8 89 768 25 87 414 479 2 396 92 788 19 83 3368

Critical 1 9 0 3 39 0 1 34 104 1 26 73 53 0 8 352

Critical-maintained

0 3 0 0 11 0 0 3 10 0 9 3 9 0 1 49

Endangered 0 11 0 1 67 0 0 39 67 0 42 54 86 1 20 388

Endangered-maintained

0 6 0 0 54 0 1 15 21 0 20 5 43 0 1 166

Not at risk 4 26 6 45 285 2 0 157 137 3 109 68 403 8 8 1261

Extinct 0 4 0 1 184 0 0 19 87 0 107 3 160 0 0 565

Total 8 174 14 139 1408 27 89 681 905 6 709 298 1542 28 121 6149

* Other: Bactrian camel × dromedary crosses, guanacos, vicuñas, guinea pigs and dogs.

Figure 6b. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage

(chart) figures by species – locally adapted category

Alpaca Ass

Bactrian camel



Unknown 3 110 7 87 702 19 86 393 428 2 382 79 726 19 83 3126

Critical 1 9 0 2 28 0 0 32 91 1 22 71 47 0 8 312

Critical-maintained

0 3 0 0 10 0 0 3 10 0 9 3 9 0 1 48

Endangered 0 11 0 1 55 0 0 36 57 0 37 45 68 0 20 330


0 6 0 0 54 0 1 15 21 0 20 5 43 0 1 166

Not at risk 2 25 5 42 200 0 0 134 92 3 91 42 320 8 8 972

Extinct 0 4 0 1 182 0 0 19 87 0 106 3 159 0 0 561

Total 6 168 12 133 1231 19 87 632 786 6 667 248 1372 27 121 5515


0%

20%

40%

60%

80%

100%

0%

20%

40%

60%

80%

100%

CGRFA-15/15/Inf.18 13

Figure 6c. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage

(chart) figures by species – mixed category

Alpaca Ass

Bactrian camel



Unknown 0 0 0 0 12 1 0 2 7 0 4 3 12 0 0 41

Critical 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 4

Critical-maintained

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Endangered 0 0 0 0 6 0 0 0 5 0 1 3 13 0 0 28


0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Not at risk 2 1 0 1 63 0 0 13 35 0 9 16 57 0 0 197

Extinct 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 2 1 0 1 81 1 1 15 50 0 14 22 82 0 0 270


Figure 7a. Risk status of the world’s avian breeds in June 2014: absolute (table) and percentage

(chart) figures by species

Chicken Duck Goose

Guinea fowl

Muscovy duck

Ostrich Partridge Pheasant Pigeon Quail Turkey Other Total

Unknown 1089 196 133 49 23 14 12 17 52 43 97 19 1744

Critical 147 18 10 0 0 0 0 0 10 4 2 0 191

Critical-maintained

7 1 2 0 0 0 0 0 0 0 0 0 10

Endangered 147 17 16 2 1 0 0 0 10 0 3 1 197


67 15 19 0 0 0 0 0 0 0 3 1 105

Not at risk 212 32 25 3 1 1 0 1 1 9 10 1 296

Extinct 60 15 3 2 0 0 0 0 0 0 2 0 82

Total 1729 294 208 56 25 15 12 18 73 56 117 22 2625

* Other: duck × Muscovy duck crossings, Chilean tinamou, cassowaries, emus, ñandus, peacocks and swallows.

0%

20%

40%

60%

80%

100%

0%

20%

40%

60%

80%

100%

14 CGRFA-15/15/Inf.18

Figure 7b. Risk status of the world’s avian breeds in June 2014: absolute (table) and percentage

(chart) figures by species – locally adapted category

Chicken Duck Goose

Guinea fowl

Muscovy duck


Unknown 990 183 125 44 23 12 12 12 46 42 80 17 1586

Critical 147 17 10 0 0 0 0 0 10 4 2 0 190

Critical-maintained

7 1 2 0 0 0 0 0 0 0 0 0 10

Endangered 139 17 16 2 1 0 0 0 10 0 3 1 189


67 15 19 0 0 0 0 0 0 0 3 1 105

Not at risk 178 30 19 2 0 0 0 1 1 9 5 1 246

Extinct 60 15 3 2 0 0 0 0 0 0 2 0 82

Total 1588 278 194 50 24 12 12 13 67 55 95 20 2408


Figure 7c. Risk status of the world’s avian breeds in June 2014: absolute (table) and percentage (chart)

figures by species – mixed category

Chicken Duck Goose

Guinea fowl

Muscovy duck


Unknown 32 1 0 0 0 0 0 0 0 0 10 0 43

Critical 0 0 0 0 0 0 0 0 0 0 0 0 0

Critical-maintained

0 0 0 0 0 0 0 0 0 0 0 0 0

Endangered 0 0 0 0 0 0 0 0 0 0 0 0 0


0 0 0 0 0 0 0 0 0 0 0 0 0

Not at risk 19 1 1 0 1 0 0 0 0 0 4 0 26

Extinct 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 51 2 1 0 1 0 0 0 0 0 14 0 69


0%

20%

40%

60%

80%

100%

0%

20%

40%

60%

80%

100%

CGRFA-15/15/Inf.18 15

Figure 8a. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage

(chart) figures by region

Africa Asia Europe &

the

Caucasus

Latin America &

the Caribbean

Near & Middle

East

North America

Southwest Pacific

International transboundary

breeds

World

Unknown 571 986 840 443 201 80 132 115 3368

Critical 2 5 332 1 0 1 3 8 352

Critical-maintained

1 10 36 0 0 2 0 0 49

Endangered 10 7 338 6 0 4 3 20 388


2 7 144 1 0 12 0 0 166

Not at risk 80 303 602 21 1 9 3 242 1261

Extinct 33 43 446 21 5 10 6 1* 565

Total 699 1361 2738 493 207 118 147 386 6149

*African Aurochs, which once lived in parts of both the Africa and the Near and Middle East regions.

Figure 8b. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage

(chart) figures by region – locally adapted category


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific


breeds World

Unknown 568 977 755 407 199 80 132 8 3126

Critical 2 5 301 0 0 1 3 0 312

Critical-maintained

1 10 35 0 0 2 0 0 48

Endangered 10 7 301 5 0 4 3 0 330


2 7 144 1 0 12 0 0 166

Not at risk 79 303 554 19 1 9 3 4 972

Extinct 32 43 444 21 5 10 6 0 561

Total 694 1352 2534 453 205 118 147 12 5515

0%

20%

40%

60%

80%

100%

0%

20%

40%

60%

80%

100%

16 CGRFA-15/15/Inf.18

Figure 8c. Risk status of the world’s mammalian breeds in June 2014: absolute (table) and percentage

(chart) figures by region – mixed category


the

Caucasus

Latin America &

the Caribbean

Near & Middle

East

North America

Southwest Pacific


breeds

World

Unknown 0 0 4 3 0 0 0 34 41

Critical 0 0 2 0 0 0 0 2 4

Critical-maintained

0 0 0 0 0 0 0 0 0

Endangered 0 0 19 0 0 0 0 9 28


0 0 0 0 0 0 0 0 0

Not at risk 1 0 29 1 0 0 0 166 197

Extinct 0 0 0 0 0 0 0 0 0

Total 0 0 4 3 0 0 0 34 41

Figure 9a. Risk status of the world’s avian breeds June 2014: absolute (table) and percentage (chart)

figures by region


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific


breeds World

Unknown 210 435 684 151 54 42 54 114 1744

Critical 0 1 189 0 0 0 0 1 191

Critical-maintained

0 1 9 0 0 0 0 0 10

Endangered 2 4 191 0 0 0 0 0 197


0 2 103 0 0 0 0 0 105

Not at risk 16 82 152 1 0 0 0 45 296

Extinct 2 5 75 0 0 0 0 0 82

Total 230 530 1403 152 54 42 54 160 2625

0%

20%

40%

60%

80%

100%

0%

20%

40%

60%

80%

100%

CGRFA-15/15/Inf.18 17

Figure 9b. Risk status of the world’s avian breeds June 2014: absolute (table) and percentage (chart)

figures by region – locally adapted category


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific


breeds World

Unknown 204 424 682 124 54 42 54 2 1586

Critical 0 1 189 0 0 0 0 0 190

Critical-maintained

0 1 9 0 0 0 0 0 10

Endangered 2 4 183 0 0 0 0 0 189


0 2 103 0 0 0 0 0 105

Not at risk 15 82 148 1 0 0 0 0 246

Extinct 2 5 75 0 0 0 0 0 82

Total 223 519 1389 125 54 42 54 2 2408

Figure 9c. Risk status of the world’s avian breeds June 2014: absolute (table) and percentage (chart)

figures by region – mixed category


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific


breeds World

Unknown 0 0 1 0 0 0 0 42 43

Critical 0 0 0 0 0 0 0 0 0

Critical-maintained

0 0 0 0 0 0 0 0 0

Endangered 0 0 0 0 0 0 0 0 0


0 0 0 0 0 0 0 0 0

Not at risk 0 0 2 0 0 0 0 24 26

Extinct 0 0 0 0 0 0 0 0 0

Total 0 0 3 0 0 0 0 66 69

0%

20%

40%

60%

80%

100%

0%

20%

40%

60%

80%

100%

18 CGRFA-15/15/Inf.18

Tables 8 and 9 present the number of extinct mammalian and avian breeds by species and region.

Europe and the Caucasus has reported far more extinct mammalian and avian breeds than any other

region – 7 percent of all reported breeds are extinct. The dominance of Europe and the Caucasus in

terms of the number of breeds reported extinct may relate, at least in part, to the relatively advanced

state of breed inventory and monitoring in this region. The year of extinction has been reported for

only 33 percent of extinct breeds (214). Thirty breeds became extinct after 2005 (Table 10). Among

the 565 extinct mammalian breeds, 99 percent are classified as locally adapted breeds. All extinct

avian breeds are classified as locally adapted.

Table 8. Number of extinct mammalian breeds – number of locally adapted breeds in brackets


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

South-west

Pacific


breeds World

Ass 1 (1) 0 (0) 2 (2) 0 (0) 1 (1) 0 (0) 0 (0) 0 (0) 4 (4)

Buffalo 0 (0) 0 (0) 1 (1) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 1 (1)

Cattle 20 (19) 19 (19) 120 (120) 20 (20) 1 (1) 1 (1) 2 (2) 1 (0) 184 (182)

Goat 1 (1) 2 (2) 16 (16) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 19 (19)

Horse 6 (6) 1 (1) 71 (71) 0 (0) 0 (0) 8 (8) 1 (1) 0 (0) 87 (87)

Pig 0 (0) 15 (15) 90 (89) 1 (1) 0 (0) 0 (0) 1 (1) 0 (0) 107 (106)

Rabbit 0 (0) 0 (0) 1 (1) 0 (0) 2 (2) 0 (0) 0 (0) 0 (0) 3 (3)

Sheep 5 (5) 6 (6) 145 (144) 0 (0) 1 (1) 1 (1) 2 (2) 0 (0) 160 (159)

Total 33 (32) 43 (43) 446 (444) 21 (21) 5 (5) 10 (10) 6 (6) 1 (0) 565 (561)

Table 9. Number of extinct avian breeds (all locally adapted)


the Caucasus

Latin America &

the Caribbean

Near & Middle East

North America

Southwest Pacific

World

Chicken 0 5 55 0 0 0 0 60

Duck 0 0 15 0 0 0 0 15

Goose 0 0 3 0 0 0 0 3

Guinea fowl 2 0 0 0 0 0 0 2

Turkey 0 0 2 0 0 0 0 2

Total 2 5 75 0 0 0 0 82

Table 10. Years of extinction

Year Number of

breeds %

Unspecified 433 67

Before 1900 7 1

1900-1999 111 17

2000-2005 66 10

After 2005 30 5

Total 647 100

CGRFA-15/15/Inf.18 19

V. Trends in breed status and diversity

Figure 10 presents the data basis for the newly introduced indicator supposed to show the proportion

of the total population accounted for by locally adapted breeds and its trends. For the calculation of

this indicator the sum of population sizes over all locally adapted national breed populations

belonging to a certain species has to be divided by the sum of population seizes built over all national

breed populations (locally adapted and exotic) for the respective species. Generally the lack of

population data for exotic breed populations is even more pronounced than for locally adapted breed

populations and does not allow a meaningful interpretation of this indicator at this stage. The dramatic

decrease in number of animal between the years 2011 and 2012 in Figure 10 is caused by the

intensive uploading activities prior to the first report on the State of the World’s Animal Genetic

Resources for Food and Agriculture7 until the year 2001 followed by a lack of updating of population

data especially for exotic breeds afterwards. The lack of updating since 2001 in combination with the

ten year cut-off point becomes visible in the year 2012 were all non updated population sizes were set

to unknown (zero).

Figure 10. Number of individuals belonging to locally adapted, mixed or exotic breed category –

2005 to 2014

Previous attempts to summarize global trends in breed risk status have been affected by the

confounding effects of ongoing corrections to breed inventories. The proposals for reducing the effects

of such changes set out in the document Targets and indicators for animal genetic resources8 were

applied in the calculation of the figure presented below. Figure 11shows the trends in genetic erosion

of breeds since the publication of the first report on the State of the World’s Animal Genetic Resources

for Food and Agriculture. Since the year 2006 the proportion of breeds classified as at risk increased

from 15 to 17 percent, the breeds classified as not at risk decreased from 21 to 18 percent and the

percentage of breeds reported to be extinct remained stable with 7 percent. The number of breeds

where no risk status can be calculated due to either complete lack of information on population sizes

or lack of updating of population data for a period of more than ten years is with almost 60 percent

very high.

7 State of the World’s Animal Genetic Resources for Food and Agriculture

(http://www.fao.org/docrep/010/a1250e/a1250e00.htm) 8 CGRFA/WG-AnGR-7/12/7 (http://www.fao.org/docrep/meeting/026/me514e.pdf).

20 CGRFA-15/15/Inf.18

Figure 11. Changes in risk status of breeds from 2006 to 2014

The figures 12a and 12b show the relationship between trends in genetic diversity expressed as

quadratic regression lines and the number of breeds with unknown risk class due to missing

information on population data for a period of at least 10 years. In case of local breeds there is a clear

trend regarding genetic diversity of local breeds: the number of breeds being at risk is increasing over

time while the number of breeds not at risk is decreasing (Fig. 12a). The trends for transboundary

breeds are not that pronounced: however, the number of breeds being not at risk is decreasing while

the number of breeds with unknown risk status increases steadily. The grey charts indicate that the

number of local breeds with reported population data was rather high during the preparation phase for

the first report on the State of the World’s Animal Genetic Resources for Food and Agriculture and

decreases since then while the number of transboundary breeds without reported population data in

DAD-IS is increasing over the last years.

Figure 12a. Trends in risk status of local breeds and number of local breeds with unknown risk

status from 2005 to 2014

CGRFA-15/15/Inf.18 21

Figure 12b. Trends in risk status of transboundary breeds and number of transboundary breeds

with unknown risk status from 2005 to 2014

VI. Conclusions

During the period between June 2012 and June 2014 the coverage of the Global Databank for Animal

Genetic Resources improved. However, breed-related information remains far from complete. For

almost 60 percent of all reported breeds, risk status is not known because of missing population data or

lack of recent updates. The completeness of data is shown, by country, in Annexes 1 and 2.

Previous attempts to summarize global trends in breed risk status have been affected by the

confounding effects of ongoing corrections to breed inventories. The proposals for reducing the effects

of such changes set out in the document Targets and indicators for animal genetic resources9 were

applied in the calculation of the figures presented in the present report. This allows for the first time a

meaningful interpretation of trends in risk status of breeds showing an increase of breeds being at risk

of extinction over the last ten years. However, the lack of population data hides the real degree of

erosion. National Coordinators also need to enter any historical population data that are available to

them, as this will provide a more complete set of data with which to calculate trends in breed

population size, breed structure and diversity.

The current state of data availability and updating means that it is not possible to draw reliable

conclusions regarding global trends in diversity as represented by the proportion of the total

population accounted for by locally adapted breeds. If future status and trends reports are to provide

meaningful inputs to decision-making in animal genetic resources management, there is an urgent

need for National Coordinators for the Management of Animal Genetic Resources to improve (i) the

completeness and frequency of reporting on the sizes of their national breed populations, including for

the exotic breeds, and (ii) to classify all their national breed populations into adaptedness categories

(locally adapted or exotic).

Furthermore, as cross-bred animals probably represent the majority of domestic animals in many

countries a way to define cross breed populations and to capture the size of national crossbred

populations in DAD-IS needs to be investigated to present a realistic proportion of the total population

accounted for by locally adapted breeds.

Due to the lack of data regarding the adaptedness class of breeds, figures and tables based on this

classification system can only be considered as examples for presenting such type of data in future

reports.

9 CGRFA/WG-AnGR-7/12/7 (http://www.fao.org/docrep/meeting/026/me514e.pdf).

22 CGRFA-15/15/Inf.18

Annex 1

Status of population data reported by each country and region

1.1. Africa

1.2. Asia

1.3. Europe and the Caucasus

1.4. Latin America and the Caribbean

1.5. Near and Middle East

1.6. North America

1.7. Southwest Pacific

This annex allows countries to view the state of completeness of their breed population data in DAD-

IS. They can also see how their progress in entering population data compares to that of other

countries in their respective regions.

Two graphics are presented for each region. The first shows the number of breeds for which

population data have been recorded and the number of breeds that have been entered into DAD-IS for

which no population data have yet been recorded. The second graphic presents two further measures

of data completeness: the average number of years for which population has been reported per breed

and the “population data index”. The latter relates only to breeds for which some population data have

been entered – it represents the fraction of selected population data fields (population size, number of

breeding females, number of breeding males and the percentage of females bred to males of the same

breed) that contain data, averaged across breeds and years. The figures also show the most recent year

for which population data are available from a given country. Dependent territories are listed below

the respective country.

CGRFA-15/15/Inf.18 23

1.1 Africa

0 50 100 150 200 250

ZimbabweZambia

Western SaharaUnited Republic of Tanzania

UgandaTunisia

TogoSwaziland

South SudanSouth Africa

SomaliaSierra Leone

SeychellesSenegal

Sao Tome and PrincipeRwandaNigeria

NigerNamibia

MozambiqueMorocco

MauritiusMauritania

MaliMalawi

MadagascarLiberia

LesothoKenya

Guinea-BissauGuineaGhana

GambiaGabon

EthiopiaEritrea

Equatorial GuineaDjibouti

Democratic Republic of the CongoCôte d'Ivoire

CongoComoros

ChadCentral African Republic

Cape VerdeCameroon

BurundiBurkina Faso

BotswanaBenin

AngolaAlgeria

number of national breed populations recorded

with population data without population data

0.350.28

0.000.51

0.400.54

0.290.56

0.000.48

0.250.250.25

0.340.00

0.750.33

0.290.27

0.320.40

0.610.380.39

0.260.250.250.25

0.580.25

0.310.37

0.350.250.25

0.310.250.250.25

0.380.59

0.250.53

0.250.00

0.260.28

0.250.37

0.330.40

0.51

20142004

20182002200420092003

20091994199120042012

20082003200920142002200520121992200320132003199420052010200320052006199119912005199419911992199120021992200320031990

2003201319972012200419942004

0.00 0.20 0.40 0.60 0.80 1.00

0 0.5 1 1.5 2 2.5 3

ZimbabweZambia

Western SaharaUnited Republic of Tanzania

UgandaTunisia

TogoSwaziland

South SudanSouth Africa

SomaliaSierra Leone

SeychellesSenegal

Sao Tome and PrincipeRwandaNigeria

NigerNamibia

MozambiqueMorocco

MauritiusMauritania

MaliMalawi

MadagascarLiberia

LesothoKenya

Guinea-BissauGuineaGhana

GambiaGabon

EthiopiaEritrea

Equatorial GuineaDjibouti

Democratic Republic of the CongoCôte d'Ivoire

CongoComoros

ChadCentral African Republic

Cape VerdeCameroon

BurundiBurkina Faso

BotswanaBenin

AngolaAlgeria

population data index

average number of years of population data per breed

average number of years of population data per breed population data index

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24 CGRFA-15/15/Inf.18

1.2 Asia

0 100 200 300 400 500 600 700 800

Viet Nam

Uzbekistan

Turkmenistan

Timor-Leste

Thailand

Tajikistan

Sri Lanka

Singapore

Republic of Korea

Philippines

Papua New Guinea

Pakistan

Nepal

Myanmar

Mongolia

Maldives

Malaysia

Lao People's Democratic Republic

Kyrgyzstan

Kazakhstan

Japan

Iran (Islamic Republic of)

Indonesia

India

Democratic People's Republic of Korea

China

Cambodia

Brunei Darussalam

Bhutan

Bangladesh

Afghanistan



0.82

0.41

0.45

0.00

0.41

0.41

0.31

0.00

0.61

0.49

0.50

0.55

0.45

0.82

0.55

0.25

0.75

0.44

0.44

0.61

0.47

0.25

0.28

0.64

0.00

0.31

0.73

0.00

0.30

0.42

0.44

2010

2003

2004

1999

2003

2010

2012

2003

2003

2006

2004

1997

2012

1994

2010

2004

2004

2003

2008

2003

2013

2009

2009

1994

2012

2004

1991

0.00 0.20 0.40 0.60 0.80 1.00

0 0.5 1 1.5 2 2.5 3

Viet Nam

Uzbekistan

Turkmenistan

Timor-Leste

Thailand

Tajikistan

Sri Lanka

Singapore

Republic of Korea

Philippines

Papua New Guinea

Pakistan

Nepal

Myanmar

Mongolia

Maldives

Malaysia


Kyrgyzstan

Kazakhstan

Japan

Iran (Islamic Republic of)

Indonesia

India


China

Cambodia

Brunei Darussalam

Bhutan

Bangladesh

Afghanistan




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data

CGRFA-15/15/Inf.18 25

1.3 Europe and the Caucasus

*A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning sovereignty over the Falkland Islands (Malvinas). (Editorial directive ST/CS/SER.A/42, United Nations Secretariat, 3 August 1999)

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26 CGRFA-15/15/Inf.18

1.4 Latin America and the Caribbean

0 50 100 150 200 250 300

Venezuela (Bolivarian Republic of)

Uruguay

Trinidad and Tobago

Suriname

Saint Vincent and the Grenadines

Saint Lucia

Saint Kitts and Nevis

Peru

Paraguay

Panama

Nicaragua

Mexico

Jamaica

Honduras

Haiti

Guyana

Guatemala

Grenada

El Salvador

Ecuador

Dominican Republic

Dominica

Cuba

Costa Rica

Colombia

Chile

Brazil

Bolivia (Plurinational State of)

Belize

Barbados

Bahamas

Argentina

Antigua and Barbuda



0.38

0.26

0.25

0.46

0.00

0.00

0.25

0.53

0.34

0.00

0.25

0.63

0.63

0.25

0.38

0.55

0.60

0.00

0.53

0.37

0.31

0.00

0.83

0.69

0.43

0.44

0.48

0.39

0.00

0.25

0.25

0.57

0.27

2004

2011

2005

2009

2001

2013

2004

2004

2010

2005

2000

1998

1994

2008

2001

2008

2004

1993

2004

2008

2012

2004

2010

2005

1978

2010

1994

0.00 0.20 0.40 0.60 0.80 1.00

0 0.2 0.4 0.6 0.8 1 1.2

Venezuela (Bolivarian Republic of)

Uruguay

Trinidad and Tobago

Suriname

Saint Vincent and the Grenadines

Saint Lucia

Saint Kitts and Nevis

Peru

Paraguay

Panama

Nicaragua

Mexico

Jamaica

Honduras

Haiti

Guyana

Guatemala

Grenada

El Salvador

Ecuador

Dominican Republic

Dominica

Cuba

Costa Rica

Colombia

Chile

Brazil

Bolivia (Plurinational State of)

Belize

Barbados

Bahamas

Argentina

Antigua and Barbuda




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tion

data

CGRFA-15/15/Inf.18 27

1.5 Near and Middle East

0 20 40 60 80 100 120 140

Yemen

United Arab Emirates

Syrian Arab Republic

Sudan

Saudi Arabia

Qatar

Oman

Libya

Lebanon

Kuwait

Jordan

Iraq

Egypt

Bahrain



0.42

0.00

0.59

0.27

1.00

0.00

0.63

0.50

0.75

1.00

0.43

0.48

0.74

0.00

2004

2003

1994

1992

1994

1995

1980

1992

2010

2008

2003

0.00 0.20 0.40 0.60 0.80 1.00

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9

Yemen

United Arab Emirates

Syrian Arab Republic

Sudan

Saudi Arabia

Qatar

Oman

Libya

Lebanon

Kuwait

Jordan

Iraq

Egypt

Bahrain




las

t yea

r of p

op

ula

tion

data

28 CGRFA-15/15/Inf.18

1.6 North America

0 50 100 150 200 250 300

Wake Island

United States Virgin Islands

Puerto Rico

Northern Mariana Islands

Midway Island

Johnston Island

Guam

American Samoa

United States of America

Canada



0.00

0.25

0.00

0.00

0.00

0.00

0.58

0.00

0.30

0.57

1990

1992

2013

2001

0.00 0.20 0.40 0.60 0.80 1.00

0 0.5 1 1.5 2 2.5

Wake Island

United States Virgin Islands

Puerto Rico

Northern Mariana Islands

Midway Island

Johnston Island

Guam

American Samoa

United States of America

Canada




las

t yea

r of p

op

ula

tion

data

CGRFA-15/15/Inf.18 29

1.7 Southwest Pacific

0 50 100 150 200 250 300 350 400

Vanuatu

Tuvalu

Tonga

Solomon Islands

Samoa

Palau

Niue

Tokelau

New Zealand

Nauru

Micronesia (Federated States of)

Marshall Islands

Kiribati

Fiji

Cook Islands

Norfolk Island

Australia



0.25

0.25

0.25

0.25

0.25

0.00

0.25

0.00

0.35

0.00

0.00

0.00

0.33

0.25

0.33

0.00

0.28

2002

2002

2001

1995

2004

2000

1993

2004

2004

1994

2011

0.00 0.20 0.40 0.60 0.80 1.00

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8

Vanuatu

Tuvalu

Tonga

Solomon Islands

Samoa

Palau

Niue

Tokelau

New Zealand

Nauru

Micronesia (Federated States of)

Marshall Islands

Kiribati

Fiji

Cook Islands

Norfolk Island

Australia




las

t yea

r of p

op

ula

tion

data

30 CGRFA-15/15/Inf.18

Annex 2

Number of local and transboundary breeds by risk status category reported by each country

and region

2.0. Regional overview

2.1. Africa

2.2. Asia

2.3. Europe and the Caucasus

2.4. Latin America and the Caribbean

2.5. Near and Middle East

2.6. North America

2.7. Southwest Pacific

The tables in this annex show the number of local, regional transboundary and international

transboundary breeds and their respective risk statuses by region and by country. Dependent territories

are listed below the respective country. The tables will help countries to identify the need for action in

surveying and monitoring and in conservation. Number of local, exotic breeds for country is given in

brackets.

2.0 Regional Overview Local Regional International

Total Region at risk

not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Africa 15 77 705 2 19 76 12 173 85 1164

Asia 37 369 1357 0 16 64 13 133 107 2096

Europe and the Caucasus 1262 652 1432 80 102 92 25 239 151 4035

Latin America and the Caribbean 8 16 573 0 6 21 9 197 109 939

Near and Middle East 0 1 250 0 0 5 2 35 33 326

North America 14 6 111 5 3 11 8 113 70 341

Southwest Pacific 6 2 182 0 1 4 9 150 75 429

World 1342 1123 4610 87 147 273 29 287 229 8127

2.1 Africa Local Regional International

Total Country at risk

not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Algeria 0 0 16 0 0 8 1 7 2 34

Angola 0 0 18 0 0 3 0 18 1 40

Benin 0 0 10 0 2 5 0 7 1 25

Botswana 2 1 6 0 3 3 0 39 4 58

Burkina Faso 0 0 22 0 3 7 0 15 8 55

Burundi 0 4 3 (3) 0 0 0 0 13 3 23

Cameroon 0 0 21 1 4 5 0 6 2 39

Cape Verde 0 0 0 0 0 0 0 0 1 1

Central African Republic 0 0 9 0 4 2 0 6 2 23

Chad 0 0 35 0 2 9 0 3 6 55

Comoros 0 0 7 0 0 1 0 7 1 16

Congo 0 0 3 0 1 2 0 7 1 14

Côte d'Ivoire 0 0 10 0 3 3 0 2 1 19

Democratic Republic of the Congo 0 0 24 0 1 4 1 37 6 73

Djibouti 0 0 9 0 0 3 0 1 1 14

Equatorial Guinea 0 0 0 0 1 0 0 1 0 2

CGRFA-15/15/Inf.18 31

2.1 Africa Local Regional International


not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Eritrea 0 0 6 0 0 11 0 2 3 22

Ethiopia 0 3 66 0 1 15 0 18 6 109

Gabon 0 0 5 (1) 0 0 5 0 10 2 22

Gambia 0 0 0 0 0 1 0 3 0 4

Ghana 0 1 20 0 2 5 0 14 5 47

Guinea 0 2 4 0 2 0 0 3 0 11

Guinea-Bissau 0 0 4 0 1 1 0 12 0 18

Kenya 0 7 19 0 4 6 1 40 3 80

Lesotho 0 1 9 (4) 0 1 0 0 21 3 35

Liberia 0 0 0 0 1 1 0 1 0 3

Madagascar 0 0 17 0 0 0 0 14 3 34

Malawi 0 4 9 0 1 1 0 25 3 43

Mali 0 0 57 0 5 14 1 26 9 112

Mauritania 0 0 6 0 3 8 0 7 2 26

Mauritius 2 0 4 (1) 1 0 0 1 12 1 21

Morocco 0 1 41 0 0 4 0 24 9 79

Mozambique 0 0 12 0 1 3 0 13 1 30

Namibia 10 14 6 1 4 2 0 52 7 96

Niger 0 1 22 0 4 5 0 3 2 37

Nigeria 0 0 14 1 5 12 0 2 2 36

Rwanda 1 0 11 0 0 1 2 27 3 45

Sao Tome and Principe 0 0 6 0 0 1 0 18 3 28

Senegal 0 9 (1) 5 0 4 4 0 19 9 50

Seychelles 0 0 1 1 0 1 0 16 1 20

Sierra Leone 0 0 0 0 1 0 1 12 0 14

Somalia 0 0 18 0 0 5 0 4 1 28

South Africa 0 0 66 1 3 6 3 91 19 189

South Sudan 0 0 0 0 0 0 0 0 0 0

Swaziland 0 0 15 0 1 3 0 15 0 34

Togo 0 0 7 0 1 10 0 13 10 41

Tunisia 0 0 8 0 0 1 1 8 11 29

Uganda 0 0 13 0 3 7 1 14 4 42

United Republic of Tanzania 0 28 20 0 4 4 0 27 4 87

Western Sahara 0 0 0 0 0 0 0 0 0 0

Zambia 0 0 15 0 0 2 1 25 5 48

Zimbabwe 0 1 6 0 3 2 2 36 6 56

32 CGRFA-15/15/Inf.18

2.2 Asia Local Regional International


not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Afghanistan 0 0 37 0 1 6 0 1 1 46

Bangladesh 0 0 48 0 2 4 1 15 11 81

Bhutan 1 21 3 0 2 0 1 8 3 39

Brunei Darussalam 0 0 0 0 0 0 0 0 0 0

Cambodia 0 0 16 0 0 5 0 4 0 25

China 9 217 381 0 7 3 4 47 15 683


0 0 1 0 0 0 0 0 0 1

India 0 16 207 0 10 23 1 32 9 298

Indonesia 1 29 116 (20)

0 1 3 1 32 27 210

Iran (Islamic Republic of) 0 0 59 0 1 4 2 10 9 85

Japan 8 7 33 0 0 1 0 26 14 89

Kazakhstan 0 0 46 0 1 8 1 12 6 74

Kyrgyzstan 0 0 26 0 0 9 0 7 7 49


0 0 16 0 0 3 0 4 2 25

Malaysia 3 10 11 0 1 5 0 25 5 60

Maldives 0 0 4 0 0 0 0 3 1 8

Mongolia 0 1 39 0 1 5 0 10 2 58

Myanmar 0 0 19 0 0 1 1 16 4 41

Nepal 0 0 33 0 4 10 2 22 10 81

Pakistan 0 34 70 0 3 10 0 14 4 135

Papua New Guinea 0 0 9 0 0 1 0 13 0 23

Philippines 0 0 44 0 1 3 1 54 15 118

Republic of Korea 8 1 26 0 0 1 2 26 11 75

Singapore 0 0 0 0 0 0 0 0 0 0

Sri Lanka 1 7 13 0 5 4 1 30 3 64

Tajikistan 0 0 20 0 1 12 0 9 1 43

Thailand 0 0 18 0 0 5 0 1 0 24

Timor-Leste 0 0 0 0 0 0 0 0 0 0

Turkmenistan 0 0 10 0 0 8 0 5 1 24

Uzbekistan 0 0 21 0 0 12 0 7 5 45

Viet Nam 6 26 31 0 0 5 1 25 3 97

CGRFA-15/15/Inf.18 33

2.3 Europe and the Caucasus Local Regional International


not at risk

un-known

at risk

not at risk

un-known

at risk not at risk

un-known

Albania 5 4 34 2 0 2 0 24 1 72

Andorra 0 0 0 0 0 0 0 0 0 0

Armenia 0 0 13 0 1 7 0 14 3 38

Austria 13 12 1 3 15 0 1 36 0 81

Azerbaijan 0 0 29 0 1 9 1 6 0 46

Belarus 0 0 15 1 1 2 0 9 1 29

Belgium 41 8 26 11 14 6 5 58 2 171

Bosnia and Herzegovina 0 0 19 1 1 0 0 3 0 24

Bulgaria 38 (11) 27 (3) 6 (1) 2 1 1 1 26 3 105

Croatia 9 16 3 2 3 0 0 14 0 47

Cyprus 3 2 12 0 1 0 0 11 0 29

Czech Republic 23 (2) 9 (2) 4 4 14 0 1 54 2 111

Denmark 6 2 13 1 4 0 1 38 1 66

Faroe Islands 0 0 1 0 0 0 0 1 0 2

Greenland 0 0 1 0 0 0 0 0 0 1

Estonia 4 5 2 2 1 2 0 26 4 46

Finland 23 8 5 2 3 1 0 37 2 81

France 0 0 278 13 7 16 5 63 13 395

French Guiana 0 0 1 0 0 0 0 0 0 1

French Polynesia 0 0 0 0 0 0 0 0 0 0

French Southern and Antarctic Territories

0 0 0 0 0 0 0 0 0 0

Guadeloupe 0 0 0 0 0 0 0 1 4 5

Martinique 0 0 0 0 0 0 0 1 3 4

Mayotte 0 0 0 0 0 0 0 0 0 0

New Caledonia 0 0 0 0 0 0 0 0 0 0

Réunion 0 0 0 0 0 0 0 0 1 1

Saint Pierre and Miquelon 0 0 0 0 0 0 0 0 0 0

Wallis and Futuna Islands 0 0 0 0 0 0 0 0 0 0

Georgia 0 0 24 2 1 16 2 0 1 46

Germany 349 118 10 24 52 0 12 99 5 669

Greece 12 17 6 1 0 0 0 20 0 56

Hungary 27 18 (2) 48 (1) 5 9 4 0 60 4 175

Iceland 2 2 0 1 1 1 0 8 0 15

Ireland 14 (4) 4 20 2 6 17 4 55 46 168

Israel 0 0 3 0 0 0 0 4 5 12

Italy 139 73 35 2 4 1 0 22 1 277

Latvia 13 (11) 5 (3) 4 (1) 2 7 1 2 41 2 77

Liechtenstein 0 0 0 0 0 0 0 0 0 0

Lithuania 0 0 20 4 7 4 0 35 2 72

Luxembourg 114 1 0 5 20 1 2 43 3 189

Malta 0 0 2 1 0 0 0 4 0 7

Monaco 0 0 0 0 0 0 0 0 0 0

Montenegro 3 7 3 0 1 0 0 4 0 18

Netherlands 77 (10) 23 8 (3) 25 38 4 10 109 9 303

Aruba 0 0 0 0 0 0 0 0 0 0

34 CGRFA-15/15/Inf.18

2.3 Europe and the Caucasus Local Regional International


not at risk

un-known

at risk

not at risk

un-known

at risk not at risk

un-known

Netherlands Antilles 0 0 0 0 0 0 0 1 2 3

Norway 33 13 3 1 1 1 1 21 3 77

Svalbard and Jan Mayen Islands 0 0 0 0 0 0 0 0 0 0

Poland 72 35 16 4 13 1 2 44 2 189

Portugal 9 36 1 1 1 0 0 8 0 56

Azores Islands 0 0 0 0 0 1 0 0 0 1

Madeira Islands 0 0 0 0 0 0 0 0 0 0

Republic of Moldova 0 0 17 0 2 2 0 16 8 45

Romania 0 0 94 5 5 9 0 29 12 154

Russian Federation 0 0 178 5 5 21 3 37 24 273

San Marino 0 0 0 0 0 0 0 0 0 0

Serbia 16 1 15 4 5 2 1 42 5 91

Slovakia 18 4 5 8 21 1 4 47 11 119

Slovenia 17 8 35 (1) 5 21 3 1 48 22 160

Spain 68 88 66 1 2 0 0 19 1 245

Sweden 31 12 6 2 3 2 2 31 5 94

Switzerland 6 (2) 17 4 2 8 0 0 10 0 47

The Former Yugoslav Republic of Macedonia

0 0 7 0 1 1 0 10 0 19

Turkey 11 18 59 1 0 3 1 15 4 112

Ukraine 20 31 68 5 12 4 4 55 12 211

United Kingdom 46 (11) 28 (4) 207 (72)

28 19 30 10 131 71 570

Anguilla 0 0 0 0 0 0 0 0 2 2

Bermuda 0 0 2 0 0 1 0 1 1 5

British Indian Ocean Territory 0 0 0 0 0 0 0 0 0 0

British Virgin Islands 0 0 0 0 0 0 0 0 1 1

Cayman Islands 0 0 0 0 0 0 0 0 0 0

Falkland Islands (Malvinas)10

0 0 3 0 0 0 0 1 0 4

Gibraltar 0 0 0 0 0 0 0 0 0 0

Montserrat 0 0 0 0 0 0 0 0 2 2

Pitcairn Islands 0 0 0 0 0 0 0 0 0 0

Saint Helena, Ascension and Tristan da Cunha

0 0 0 0 0 0 0 0 0 0

Turks and Caicos Islands 0 0 0 0 0 0 0 0 0 0

10

A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning

sovereignty over the Falkland Islands (Malvinas). (Editorial directive ST/CS/SER.A/42, United Nations Secretariat, 3 August 1999)

CGRFA-15/15/Inf.18 35

2.4 Latin America and the Caribbean

Local Regional International

Total

Country at risk not at risk

unknown at

risk not at risk

un-known

at risk not at risk

un-known

Antigua and Barbuda 0 0 7 0 0 1 1 30 9 48

Argentina 0 1 20 0 0 2 1 43 1 68

Bahamas 0 0 1 0 0 0 0 1 0 2

Barbados 0 0 6 0 0 0 0 19 4 29

Belize 0 0 1 0 0 0 0 0 0 1

Bolivia (Plurinational State of) 0 6 20 0 3 3 1 45 6 84

Brazil 0 0 92 0 0 1 3 91 49 236

Chile 0 1 46 0 2 3 0 69 19 140

Colombia 0 0 20 0 0 3 1 39 6 69

Costa Rica 0 0 4 0 1 2 0 20 3 30

Cuba 0 0 44 0 1 1 0 41 14 101

Dominica 0 0 3 0 0 0 1 21 6 31

Dominican Republic 0 0 6 1 2 2 0 24 6 41

Ecuador 0 2 17 0 1 1 0 21 0 42

El Salvador 0 0 8 0 1 3 0 34 11 57

Grenada 0 0 0 0 0 0 0 6 3 9

Guatemala 1 0 18 0 1 4 1 49 17 91

Guyana 0 0 10 0 1 1 0 25 3 40

Haiti 0 0 9 1 1 2 0 19 6 38

Honduras 0 0 22 0 1 5 0 52 11 91

Jamaica 1 0 7 0 0 0 0 17 1 26

Mexico 1 3 32 0 3 3 2 64 5 113

Nicaragua 0 0 9 0 2 1 1 41 8 62

Panama 0 0 3 0 1 2 0 19 3 28

Paraguay 0 0 18 0 1 2 0 63 8 92

Peru 4 (1) 1 29 (16) 0 4 4 1 69 14 126

Saint Kitts and Nevis 0 0 18 0 0 0 0 9 3 30

Saint Lucia 0 0 6 0 0 0 1 13 6 26

Saint Vincent and the Grenadines 0 0 0 0 0 0 0 0 2 2

Suriname 0 0 12 (3) 0 1 1 2 40 10 66

Trinidad and Tobago 0 0 4 0 1 0 0 25 9 39

Uruguay 1 (1) 2 (1) 54 (40) 0 0 1 2 69 15 144

Venezuela (Bolivarian Republic of) 0 0 27 0 2 3 0 40 4 76

2.5 Near and Middle East Local Regional International


not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Bahrain 0 0 1 0 0 0 0 0 0 1

Egypt 0 0 76 0 0 1 1 22 12 112

Iraq 0 1 23 (1) 0 0 2 0 15 6 47

Jordan 0 0 22 0 0 1 0 8 1 32

Kuwait 0 0 0 0 0 2 0 0 1 3

Lebanon 0 0 1 0 0 1 0 2 1 5

Libya 0 0 3 0 0 1 1 0 2 7

Oman 0 0 18 0 0 0 0 5 0 23

Qatar 0 0 0 0 0 0 0 0 0 0

36 CGRFA-15/15/Inf.18

2.5 Near and Middle East Local Regional International


not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Saudi Arabia 0 0 9 0 0 2 0 1 2 14

Sudan 0 0 56 (1) 0 0 0 1 3 9 69

Syrian Arab Republic 0 0 8 0 0 1 1 5 4 19

United Arab Emirates 0 0 0 0 0 0 0 0 0 0

Yemen 0 0 33 0 0 1 0 2 1 37

2.6 North America Local Regional International


not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Canada 0 0 41 5 3 9 0 35 13 106

United States of America 14 6 64 5 3 8 8 106 59 273

American Samoa 0 0 0 0 0 0 0 0 0 0

Guam 0 0 5 0 0 0 0 3 0 8

Johnston Island 0 0 0 0 0 0 0 0 0 0

Midway Island 0 0 0 0 0 0 0 0 0 0

Northern Mariana Islands 0 0 1 0 0 0 0 11 1 13

Puerto Rico 0 0 0 0 0 0 0 0 2 2

United States Virgin Islands 0 0 0 0 0 0 0 1 1 2

Wake Island 0 0 0 0 0 0 0 0 0 0

2.7 Southwest Pacific Local Regional International


not at risk

un-known

at risk not at risk

un-known

at risk not at risk

un-known

Australia 6 2 118 0 1 3 9 146 65 350

Norfolk Island 0 0 0 0 0 0 0 0 0 0

Cook Islands 0 0 8 0 0 1 0 13 4 26

Fiji 0 0 12 0 0 1 0 14 1 28

Kiribati 0 0 2 0 0 0 0 6 2 10

Marshall Islands 0 0 0 0 0 0 0 0 0 0

Micronesia (Federated States of) 0 0 0 0 0 0 0 0 0 0

Nauru 0 0 0 0 0 0 0 0 0 0

New Zealand 0 0 17 0 1 2 0 8 6 34

Tokelau 0 0 0 0 0 0 0 0 0 0

Niue 0 0 2 0 0 0 0 0 0 2

Palau 0 0 0 0 0 0 0 9 3 12

Samoa 0 0 3 0 0 0 0 19 3 25

Solomon Islands 0 0 8 0 0 0 0 22 6 36

Tonga 0 0 3 0 0 0 0 13 2 18

Tuvalu 0 0 3 0 0 0 0 4 1 8

Vanuatu 0 0 6 0 0 0 0 4 1 11

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