2007 africa rice trends 5th edition

8/8/2019 2007 Africa Rice Trends 5th Edition

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Africa Rice Center (WARDA)

2007 Africa Rice Trends

Africa Rice Trends 5 th edition


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About Africa Rice Center (WARDA)

Africa Rice Center (WARDA) is an autonomous intergovernmental research association of African member states. WARDA is also one of the 15 international agricultural research Centers supported by the Consultative Group on International Agricultural Research (CGIAR).

WARDAs mission is to contribute to poverty alleviation and food security in Africa through research,

the rice sector in ways that ensure the sustainability of the farming environment.

The modus operandi of WARDA is partnership at all levels. WARDAs research and development activities are conducted in collaboration with various stakeholdersprimarily the national agricultural research systems (NARS), academic institutions, advanced research institutions, farmers, mostly small-scale producers, as well as the millions of African families for whom ricemeans food.

The New Rice for Africa (NERICA), which is bringing hope to millions of poor people in Africa,was developed by WARDA and its partners. The success of the NERICAs has helped shape theCenters future direction, extending its horizon beyond West Africa into Eastern, Central and Southern Africa.

WARDA hosts the African Rice Initiative (ARI), the West and Central Africa Rice Researchand Development Network (ROCARIZ) , the International Network for Genetic Evaluation of Rice in Africa (INGER-Africa) and the Inland Valley Consortium (IVC). It also supports theCoordination Unit of the Eastern and Central African Rice Research Network (ECARRN) based in Tanzania.

Since January 2005, WARDA has been working out of the International Institute of Tropical Agriculture (IITA) Benin station in Cotonou, having relocated from its headquarters in Bouak,Cte dIvoire, because of the Ivorian crisis. WARDA has regional research stations near St Louis,Senegal and at IITA in Ibadan, Nigeria.

For more information, please visit www.warda.org

Temporary Headquarters and Research Center Africa Rice Center (WARDA)01 BP 2031, Cotonou, Benin

Tel.:(229) 21.35.01.88; Fax: (229) 21.35.05.56 E-mail: [email protected]

WARDA Nigeria Station

WARDAc/o International Institute of Tropical Agriculture (IITA)Oyo Road, PMB 5320Ibadan

Nigeria

Tel: (234-2) 241 2626Fax: (234-2) 241 2221

E-mail: [email protected]

WARDA Sahel Station

ADRAO, B.P. 96,Saint-Louis,Senegal

Tel: (221) 962 6493(221) 962 6441

Fax: (221) 962 6491E-mail: [email protected]

Eastern and Central Africa RiceResearch Network (ECARRN)

c/o Mikocheni Agricultural ResearchInstitute,PO Box 6226Dar es Salaam, Tanzania

Tel.: (255) 222 775 568(255) 744 788 495

Fax: (255) 222 700 092 Email: [email protected]


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Africa Rice Center (WARDA)

2007 Africa Rice Trends

2008


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Copyright Africa Rice Center (WARDA) 2008

WARDA encourages fair use of this material. Proper citation is requested.

Disclaimer

The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Africa Rice Center (WARDA) concerning the legal or development statusof any country, territory, city or area or of its authorities, or concerning thedelimitation of its frontiers or boundaries.

Citation

Africa Rice Center (WARDA). 2008. Africa Rice Trends 2007. Cotonou, Benin:Africa Rice Center (WARDA). 84 pp.

Aliou Diagne, Ibrahima Bamba, Ali A. Tour and Achille Medagbe

ii


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Preface for the Fifth Edition

WARDA set up a West Africa Rice Statistics Data Bank to serve rice policy

Statistics Data Bank was published in 1996 as Rice Trends in West Africa.

In the process of updating these rice trends, the main data sources used to set upthe West Africa Rice Statistics Data Bank (WARSDB) was the FAO statisticaldatabase (FAOSTATAgriculture Data, http://www.fao.org/) and USDA dataare also used wherever data is missing from FAOSTAT. Main indicatorsavailable in WARSDB relate to harvested area of paddy rice, yield of paddyrice, production of paddy rice, quantity of rice imports (milled equivalent), valueof rice imports (milled equivalent), total rice consumption (milled equivalent),

per-capita rice consumption.

Initial data series start from 1961 and run to 2006. The data for the year 2006are projections data based on the trend information (growth rate) calculated for the period 19912000. The information given by WARSDB relates to annualgrowth rates; yearly averages were calculated for some selected periods. For each indicator, annual growth rates and yearly averages were calculated for selected periods, namely 19611970, 19711980, 19811990, 1991 to 2000,and 20012005. An actual year value is given for comparison purposes and

this relates to the year 2006. This information is organized in two sections

geographical sub-regions of sub-Saharan Africa, namely West Africa, CentralAfrica, East Africa, Southern Africa, North Africa, and sub-Saharan Africa(as a whole). For comparison purposes, other world geographical regions areincluded in the WARSDB. Begining on page 29, data and information on all theselected indicators are given for the individual countries for each sub-group.Commentaries based on the analysis of the trends are also made.


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Foreword

In a world increasingly without borders, having reliable information about trendsin production, consumption and trade in rice a crop of rapidly increasing

importance in sub-Saharan Africa is of crucial importance. This new editionof Africa Rice Trends comes at a moment when world rice consumption isgrowing at 4% per year, outstripping production growth.

In Africa, rice consumption is growing at even faster rates, and replacing moretraditional crops due to population growth and urbanisation. Rice productionin Africa cannot keep up with rising demand, and the increases that have beenrecorded are mostly due to the extension of harvested area. The shortfall isimported at ever increasing prices. However, the quantity of rice available on

the world market is relatively small compared to total world production. Worldrice stocks have decreased by 30% per year, and if current trends continue,world ending stocks of rice will diminish to zero between 2015 and 2020.

Rice prices have risen by as much as 40% over the last few years and are predicted to continue to rise. Africa, as a major importer of rice (10 milliontonnes in 2007, i.e. one-third of what is available on the world market) is facing

the continent. Given the thin and unstable nature of the world rice market, rice production in sub-Saharan Africa must increase in a sustainable manner.

I sincerely hope that this updated overview of trends in the rice sector in sub-Saharan Africa will help decision-makers and policymakers along with theresearch and development community at large to enhance the competitivenessand output of the African rice sector for the well-being of Africas millions of rice producers and consumers.

Dr Papa A Seck Director GeneralAfrica Rice Center (WARDA)


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Table of contents

Africa Rice Trends 1

Overview of recent developments in West Africa 8

Overview of recent developments in Central Africa 13

Overview of recent developments in East Africa 16

Overview of recent developments in Southern Africa 19

Major rice exporters to Africa in recent years 21

Africa Rice Trends main tables 23

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Africa Rice Trends

Characterization of the overall rice sector in SSA is complex due to the variablestatus conferred on rice by African consumers, the great diversity of ecosystems

within which the crop is grown (upland, rainfed lowland, irrigated lowland,mangrove swamp etc.), the different rice production technologies used, and widelydiffering government policies. Moreover, factors affecting the global rice sector,i.e. the increasing interlinkages among global agricultural economies and thenet importer status of SSA, have a strong bearing on the rice sector in SSA. For instance, current market developments do not bode well for food security in SSA.Global rice consumption has been outstripping global rice production since 2002.This is causing a gradual drop in globally-held rice inventories and is coupled withrising rice prices in the global market. The current market situation has the potential

of further complicating the food security equation in many SSA countries.

production by encouraging the adoption of new and improved varieties but mostly

likely to become a trend of increasing production in SSA. Sustained high pricesfor rice in the international market will bolster these initiatives but this brief alsohighlights how consumption of rice in Africa continues to outstrip production.

West Africa remains at the hub of rice production in sub-Saharan Africa but the

rate well above that of production growth. Southern Africa is experiencing the

of home-grown rice.

the worlds leading rice-consuming nations but only Madagascar can claim

evidence from the 20012005 statistics shows a recovery in production and in

Production:

to 2005. This growth rate was higher than the yearly population growth rate of 2.90% during the same period.


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Table 1. Average paddy production during selected periods (million tonnes)

Sub-region 1970s 1980s 1990s 20012005 2006

West Africa 2.73 4.50 6.73 7.55 9.32Central Africa 0.23 0.36 0.44 0.45 0.48Eastern Africa 2.41 2.81 3.36 3.89 4.60Southern Africa 0.12 0.11 0.15 0.18 0.20SSA 5.49 7.78 10.69 12.07 14.20

Estimate obtained by multiplying production level in 2005 by the average growth rate of production during the previous decade.

with an average yearly growth rate of 5.81%. The average quantity of milled1 per year.

West Africa and East Africa are the main rice-producing sub-regions in SSA(Figure 1). These two sub-regions account for 95% of the total rice produced

Data source FAO

Figure 1. Paddy rice production in 2006


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Figure 2. Production growth rates (%)

Harvested rice area and yield trends in SSA: sub-Saharan Africa harvested an

per annum growth rate. The expansion in total area cultivated explains much of the increase in production, as the average annual growth of aggregate rice yield

2 stood at 1.51 t/ha (see Table 2).

Table 2. Average paddy yield and harvested area, 20012005

Sub-region Yield (t/ha)Harvested area(million ha)

West Africa

Central Africa

2.20 1.77Southern Africa 0.91 0.19

SSA 1.51 7.86

1

2A caveat is warranted regarding the interpretation of rice yield data in Africa, because it constitutes anaverage across all rice-growing ecologies: the high predominance of upland rice farming substantiallylowers aggregate rice yield in Africa.

-2

0

2

4

6

8

10

12

14

16

18

West Africa Central Africa East Africa Southern Africa

1980s 1990s 2001-2005


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The rate of growth of harvested area has been faster than the rate of yieldincrease this is consistent with the historical pattern of rice-sector dynamics

bringing more land into rice cultivation. The limited growth of the aggregate

productivity of rice is due to the large share of rainfed rice and subsistence- based rice farming systems. Rainfed production systems (upland and lowland)

T o n n e

/ h a

Figure 3. Trends in rice yields

untapped potential for boosting the productivity of rice in SSA, should theregion apply the appropriate technologies and adopt an enabling rice policy

environment. The current surge in rice price in the international market shouldgive new impetus for enhancing investment in the rice sector in order to expand

production and reduce reliance on imports.

Consumption: among the major cereals, rice is the most rapidly growing food


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positive development in rice consumption can be largely attributed to strongdemand in Southern and West Africa, where rice consumption grew (on average)

-2

0

2

4

6

8

10

12

West Africa Central Africa East Africa Southern Africa

1980s 1990s 2001-2005

Figure 4. Rice consumption growth rates (%)

Table 3. Annual growth rate of yield and harvested area, 20012005

Sub-region Yield (% change) Harvested area (% change)

West Africa 0. 20Central Africa

Southern Africa 11.19SSA 2.13 3.29

widening gap between rice production and consumption in SSA.


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Figure 5.status, 2006

Figure 6. Rice imports, 2006

Data source FAO


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0

2

4

6

8

10

12

14

16

1961 1966 1971 1976 1981 1986 1991 1996 2001 2006

Production Consumption

m i l l i o n

t o n n e s

in SSA has been higher than the yearly average population growth rate of 2.90% but substantially lower than the rice consumption growth rate, which

rice supply gap and the growing imports of rice into SSA to bridge strongdemand for rice.

Outlook for 2007: the production outlook appears favorable, as the FAO RiceMonitor edition of June 2007 forecasts that paddy production for the 2007 rice

campaign will reach 22.1 million tonnes. This will mark the sixth consecutiveyear of production increase in Africa. The fact that production increases in the varieties and strong institutional support in some rice-producing countries

incentive to further increase rice planting.

Figure 7. Rice production (milled equivalent) and consumption in SSA,


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Overview of recent developments in West Africa

Production:

tonnes in 2005 (milled-rice equivalent).

The aggregate performance of rice production in West Africa, measured by the

20012005. Production expansion in West Africa grew faster than the overallgrowth rate of production on the continent. But, with annual rice consumption

period the shortfall in local rice production in West Africa has increased

international market.

The growth rate of production increased the most in Sierra Leone, followed by

Table 4. Average milled rice production (thousand tonnes) for selected periods in West Africa

1970s 1980s 1990s 20012005

Benin 7.25 5.57 Burkina Faso 25.90 27.32 51.71Cameroon Chad

The Gambia 19.10 Ghana 125.20Guinea Guinea Bissau 30.22 57.20Liberia 75.17Mali 122.39 377.07Maurita nia 2.99


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1177.95 Senegal Sierra Leone Togo 13.29 39.72

West Africa 1830.90 3018.13 4509.65 5061.48

Table 5. Growth rates (%) of yield, harvested area and production, 20012005

Yield Area Production

Benin 7.13Burkina Faso Cameroon

Chad 1.73 2.51

The Gambia Ghana 2.23 Guinea 0.55 Guinea Bissau 3.10Liberia Mali 0.21Mauritania 5.17

2.52 Senegal 3.02Sierra Leone Togo 1.99 West Africa 0.20 4.84 5.06

Yield and harvested rice area: during 20012005, West Africa recorded a positive rate of harvested area expansion and a marginal rate of yield expansion.

Thus, rice production increase is mainly attributable to the opening of newland. Although production increases in West Africa have been driven mainly

by area expansion, cultivated areas actually decreased in Benin, Burkina Faso,

was recorded in the growth rate of area harvested and yield.

Per annum rice yield exhibited positive rates of increase in 10 West Africancountries; while seven countries had negative yield progression during 20012005.Strong rice yield increases were recorded in Benin, Guinea Bissau, Senegal,


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were recorded in The Gambia, Cameroon, Sierra Leone, Liberia and BurkinaFaso (Table 5). Rice yield in West Africa tends to be highly variable and generally

and Togo.

Consumption:

kg per capita rice consumption (Figure 7), West African countries can be dividedinto two groups: a group of countries in which annual per-capita rice consumption

growth rate tended to increase faster in coastal countries.

Table 6. Rice yield for selected periods (t/ha)

1980s 1990s 20012005Benin 1.19 1.71 2.39Burkina Faso 1.72 2.10

Cameroon 1.57Chad 1.17 1.50 1.25

1.95The Gambia 1.53Ghana 1.11 2.15Guinea 1.71 1.71Guinea Bissau 1.53 1.32Liberia 1.15 0.92Mali 1.17 2.03Mauritania 2.93 3.07 Senegal 2.35 2.52Sierra Leone 1.33 Togo 0.99 2.13West Africa 1.59 1.64 1.62


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Table 8.

Country 1980s 1990s 20012005Benin 0.13 0.23

Burkina Faso 0.33 0.32Cameroon 0.57 0.29 0.19Chad 0.71

The Gambia 0.30 0.27 0.39Ghana 0.33Guinea 1.39 1.23Guinea Bissau 0.90Liberia Mali 1.13Mauritania 0.27 0.55 1.10 0.93Senegal 0.22 0.20Sierra Leone 0.79Togo 0.37 0.39

West Africa 0.71 0.76 0.58


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Overview of recent developments in Central Africa

Production: in Central Africa, milled rice production averaged 300,000 tonnes

the regions main staple food, yet its production has increased by more than 90%since the 1970s. The leading paddy rice producer in Central Africa is the DemocraticRepublic of Congo with slightly over 315,000 tonnes (Table 9). Considerable increase

Table 9. Average milled rice production (1000 tonnes) for selected periodsin Central Africa

1970s 1980s 1990s 20012005

Burundi 29.75

Central African Rep 7.50 9.12

Congo, Dem Rep 250.55 212.50

Congo, Rep Gabon 0.55Rwanda Central Africa 157.2 239.36 297.35 299.22

Table 10. Growth rates (%) of yield, harvest area and production in CentralAfrica during 20012005


Burundi 2.51Central African Rep Congo, Dem Rep 0.00 Congo, Rep

Gabon 0.02Rwanda Central Africa 2.78 0.16 2.94

Yield and harvested rice area: the sub-regional yield and area growth were,


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during 20012005. Due to greater area and to yield growth, rice production alsoincreased in Burundi, but for the remaining countries the evolution of yield and

area and yield recorded negative rates of expansion.

Consumption:Africa region was 397,100 tonnes. Owing to the downturn in rice consumptionin the Democratic Republic of Congo, the sub-regional consumption patterndisplayed a negative trend even though rice consumption growth rate increasedremarkably in countries such as Burundi, Gabon and Rwanda.

20012005. Gabon and the Republic of Congo have the highest per capita rice

Figure 8.Per capita rice consumption in Central Africa (kg/year) during20012005


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Table 11. Growth rates (%) of consumption for selected countries in CentralAfrica

1980s 1990s 20012005Burundi 5.31Central African Rep 5.59Congo, Dem Rep Congo, Rep Gabon 3.23 3.30Rwanda 1.03 5.39Central Africa 6.91 1.10

Source: FAOSTAT, last accessed 17 September 2007.

African countries. On the one hand, rice production in Burundi, the Central AfricanRepublic and Democratic Republic of Congo has the potential to fully satisfydomestic consumption requirements during 20012005, while on the other handa negligible proportion of locally-produced rice is consumed in Gabon and in theRepublic of Congo. A quarter of the sub-regional rice consumption requirementwas imported through the international market during 20012005.

Consumption:

Africa region was 397,100 tonnes. Owing to the downturn in rice consumption inthe Democratic Republic of Congo, the sub-regional consumption pattern displayeda negative trend even though rice consumption growth rate increased remarkablyin countries such as Burundi, Gabon and Rwanda.

Gabon and the Republic of Congo have the highest per capita rice consumption

Table 12.1980s 1990s 20012005

Burundi 1.23 1.23 1.25Central African Rep 0.93 0.90Congo, Dem Rep 0.90 1.00Congo, Rep 0.10 0.03 0.02Gabon 0.02 0.01Rwanda Central Africa 0.83 0.81 0.75


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Overview of recent developments in East Africa

Production:

for 2.3 million tonnes and 525,300 tonnes, respectively, bearing out the strongupward trend in production which grew at a laudable rate of 7.21% during the

Central Africa and West Africa. The regions performance was due to increasesin rice production in Kenya, Tanzania, Uganda and Madagascar. A notable hikein production was recorded in countries such as Sudan and Somalia.

Table 13. Average milled rice production (1000 tonnes) for selected periods

1970s 1980s 1990s 20012005Comoros 11.29 11.50Kenya 30.19 Madagascar 1333.37 Malawi Somalia 2.92Sudan 5.39 2.12Tanzania Uganda 17.29 East Africa 1613.61 1880.46 2245.22 2598.83

Table 14. Growth rates (%) of yield, harvest area and production for selected


Comoros 0.77Kenya Madagascar 0.79Malawi Somalia 27.51Sudan 30.99Tanzania Uganda East Africa 6.73 0.45 7.21


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Consumption:

But robust increases in rice consumption in the Comoros, Kenya, Sudan and

Tanzania more than offset the negative growth of rice consumption in Tanzaniaand Madagascar (Figure 9). Overall the sub-regional rice consumption grew at a

basis, Madagascar, Comoros and Tanzania stand out noticeably as the major rice-consuming nations in the world. With per capita consumption of nearly100 kg/year, rice is by far the main staple in Madagascar.

Figure 9.20012005

Table 15. Growth rates (%) of rice consumption for selected countries in

1980s 1990s 20012005Comoros 11.29Kenya 3.12 3.03Madagascar 5.99 9.19Malawi Somalia 1.53Sudan Tanzania 9.13 Uganda 13.35East Africa 1.38 3.79 2.66


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in rice, with rice imports representing 7% of the total quantity consumed.

important staple food crop.

Table 16.Africa

1980s 1990s 20012005

Comoros 0.29 0.27Kenya Madagascar 1.25 1.13Malawi 1.11 0.97Somalia 0.11 0.03 0.13Sudan Tanzania 10.3Uganda 0.95East Africa 1.03 1.04 0.93


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Overview of recent developments in Southern Africa

Production:

this region, Mozambique is the leading rice producing country with an average paddy production of 102,200 tonnes over 20012005 (Table 17).

Table 17. Average milled rice production (1000 tonnes) for selected periodsand countries

1970s 1980s 1990s 2001 2005

Angola 12.93 3.75 5.33

Mozambique 102.20

South Africa 2.01 2.00 2.13Swaziland 1.79

Zambia 1.02 5.91

Zimbabwe 0.55 0.29 0.39

Southern Africa 77.49 72.51 101.00 118.27

Yield and harvested rice area:

192,000 hectares of paddy rice were harvested during 20012005, with an

areas. As in West and Central Africa, rice production in the Southern Africaregion is plagued by low yield. The aggregate rice yield has historically been

Table 18. Rice yield for selected periods in Southern Africa (t/ha)

1980s 1990s 20012005Angola 1.13

Mozambique

South Africa 2.31 2.30

Swaziland 5.20

Zambia 0.97 0.99 1.22

Zimbabwe 1.75 2.15

Southern Africa 0.90 0.88 0.91


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Consumption: During the 20012005 period, rice consumption in Southern

increase in rice consumption illustrates that rice is occupying an increasingrole in peoples diets in Southern Africa. Mozambique and South Africa have

Table 19. Growth rates (%) of rice consumption for selected countries inSouthern Africa

1980s 1990s 20012005

Angola 5.03 29.13

Mozambique 25.09

South Africa 5.90

Swaziland 20.97 0.20

Zambia 11.95

Zimbabwe 3.79 0.00

Southern Africa 11.58

Figure 10.20012005

southern sub-region has the largest proportion of reliance on the international


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more than 90% of domestic consumption requirements. Practically all riceconsumed in South Africa is sourced from the international market.

Table 20.

1980s 1990s 20012005

Angola 0.07 0.13

Mozambique

South Africa 0.01 0.00 0.00

Swaziland 0.01

Zambia 0.32

Zimbabwe 0.03 0.02 0.02

Southern Africa 0.17 0.15 0.11

The global rice export market is thin, with only 7% of global production traded onthe international market. The global rice market is also characterized by its high

and the 10 leading exporters more than 90% of the total shipped rice (FAO).Since African rice imports represent a third of the total quantity traded on theglobal market, all the major rice exporters value the African market. However,it is Thailand which provides the lions share of rice shipped to Africa. Apartfrom Thailand, the continents main rice suppliers are China, Pakistan, the USA,

10 largest rice importers in the world (Table 22).

Table 21. Major rice exporters to Africa

ExporterNo. importing

Africancountries

2000 2001 Average20002002

Share of totalrice exports

to Africa (%)

Thailand China 1 077 900 1 077 900 22Pakistan 39 331 500 9USA 27

10 91 000 39 105 100 105 250 2

Total 4 395 600 5 585 400 5 068 250 100

Source: FAOSTAT 2005.


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Table 22.

Import quantities (million tonnes)

Philippines 1.90 3

1.201.20

Saudi Arabia 1.000.90

MalaysiaSouth AfricaSenegal 0.75

Source: USDA 2007

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Africa Rice Trendsmain tables


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Introduction to the main Africa Rice Trends tables

The following tables contain data from the FAO data series some of which present data rounded off to the nearest thousand units (production, total

consumption and imports). Users should be aware that for countries with low

values due to rounding off.

Yieldcalculated as paddy production divided by area harvested for each year.

Production

Importsmilled rice, measured in terms of milled-rice equivalents, and include bothcommercial and non-commercial (food aid) imports. The average unit value of rice imports is calculated as the total value of commercial rice imports (US$)divided by the total volume of commercial rice imports (metric tonnes), basedon data taken from the trade section of FAOSTAT.

Consumption : per capita and total rice consumption refer only to rice used for human food consumption, and so do not include losses and rice (paddy) used asseed or processed for other purposes. These quantities would have to be addedto rice consumed as food to obtain total disappearance. Per capita consumption

The self-reliance ratio is the share of locally-produced rice in total rice supply.

was calculated by the formula: Production / Total consumption.

The rice share in calorie intake

rice share in terms of calorie intake. The importance of rice relative to other cereals in terms of calorie intake is calculated in a similar way by dividing the

cereals (excluding beer) contained in the daily diet.


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A n n u a l

G r o w

t h R a t e

( % )

1 9 6 1 1

9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1

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W O R L D

1 . 4 5

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0 . 6 7

0 . 6 3

1 2 5 , 3 0 3 , 9 6 2

1 3 9 , 8 4 5 , 3 3 1 1 4 4

, 6 3 5

, 4 5 9 1 4 9 , 9 7 7 , 2 1 3 1 5 0 , 7 7 8 , 2 6 9 1 5 4 , 3 2 3 , 6 9 7

T a b l e

2 3 .


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A n n u a

l G r o w

t h R a t e

( % )

1 9 6 1 1 9 7 0 1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5 1 9 6 1 1

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W O R L D

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1

T a

b l e 2 4

.


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A n n u a

l G r o w

t h R a t e

( % )

1 9 6 1 1

9 7 0

1 9 7 1 1 9 8 0

1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0 1 9 7 1 1

9 8 0 1 9 8 1 1 9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

2 0 0 6 e s

t i m a t e

9 , 3

2 0

, 0 5 2

5 . 7

3

1 1 9

, 3 3 7

3 5 7

, 2 5 3

7 . 2

1

0 . 0

7

1 5 0

, 7 5 1

2 0 0

, 0 7 2

1 2

, 0 7 2

, 1 3 2

5 . 1

0

2 1

, 1 3 1

, 0 0 0

0

. 1 5

2 . 1

1

1 . 0

0

0 . 5

3

1 . 9

1

2 . 1

5

2 . 9

0

2 . 2

1

3 . 5

7

1 . 5

3

2 . 2

7

1 . 3

7

0 . 2

3

0 . 3

1

1 0

, 5 3 3

, 2 5 7

1 2

, 3 9 3

, 2 9 5

W O R L D

1 . 7

2

1

. 1 7

T a

b l e 2 5

.


37/84

29

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1 9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

2 0 0 6 e s

t i m a t e

2 . 1

3

1

, 7 3 0

, 3 5 1

9 . 0

9

1 0

. 3 5

9 . 7

1

1 5 . 9 1

1 7 0

, 1 0 1

3 . 5

2

1 3 . 0

7

0 . 1

7

1 . 3

3

1 , 3

9 7

, 3 5 7

2 . 2

0

1 2

. 0 3

1 1 7

, 2 7 9

2 2

. 2 2

0 . 0

1

1 3

. 7 1

7 3

, 2 1 7

2 1 1

, 9 5 7

2 2

, 5 7 1

3 5 9

2 7 1

2 . 3

0

1 . 3

7

1 5

. 0 1

1 . 2

9

3 9 1

, 2 1 9

1 , 7

7 0

, 7 5 0

1 . 1

7

2 0 3

, 2 0 0

W O R L D

1 . 5 4

5 . 0 4

0 . 8 4

6 . 3 9

1 . 9 0

6 , 2 4 3 , 4 1 2

7 , 8 4 1 , 9 1 8 9

, 6 9 9

, 4 8 7

1 4 , 2

6 4 , 6

7 4

1 7 , 8

3 8 , 4

8 4

1 8 , 3

0 8 , 7

2 3

T a

b l e 2 6

.


38/84

30

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1 9

8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2 0

0 5

2 0 0 6

e s t i m a t e d

3 2

. 3 7

7 . 3

7

1 0

. 5 1

7 1 7

, 5 7 2

5 . 1

7

1 5

. 5 5

9 . 0

0

2 . 3

5

1 2 7

, 1 0 3

1 1

. 0 3

0 . 0

1

2 2 2

, 9 0 7

3 2 2

, 7 5 3

3 . 9

2

1 . 1

3

5 . 0

9

1 3

. 5 9

1 , 0

9 1

, 0 0 3

2 3

. 5 1

1 9

, 2

9 3

2 2

, 5 0 1

3 3

, 5 3 7

0 . 7

9

2 . 7

1

1 0

. 2 0

2

1 3

. 7 2

1 3

. 1 3

7 . 3

5

1 , 7

0 3

, 5 3 2

2 . 9

2

7 . 2

1

1 , 0

1 3

, 3 9 0

W O R L D

5 . 6 9

1 7 . 1

6

1 . 5

1

5 . 7 4

1 0 . 6

3

8 9 6 , 3 7 0

2 , 6 0 8 , 9 2 5

3 , 4 5 5 , 5 9 5

5 , 2 1 7 , 1 0 9

5 , 5 7 4 , 6 8 7

6 , 8 4 4 , 9 7 3

T a

b l e 2 7

.


39/84

31

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2 0 0

5

2 0 0 6

e s t i m a t e

2 . 2

5

1 . 1

0

9 7

, 3 0 9

2 9 2

, 3 2 2

1 . 5

2

3 . 7

9

2 , 1

7 2

, 2 5 3

3 . 0

7

1 1

, 7 2 3

, 3 0 1

2 . 7 7

0 . 1

7

1 1 2

, 9 9 5

, 0 3 1

1 . 7 7

3 . 5

5

3 . 2

7

2 . 5 2

7 , 5

3 5

, 3 3 0

- 0

. 3 3

1 . 1

2

1 7

, 9 5 0

, 7 3 7

W O R L D

3 . 5 3

2 . 4 5

2 . 2 6

1 . 2 6

0 . 4 9

1 5 3 , 5 8 3 , 1 6 1 2 0 7 , 0 3 7 , 9 0 3 2 7 0 , 8

0 7 , 9

9 2 3 2 5 , 7 1 5 , 7 4 6

3 4 9 , 9 6 8 , 1 2 2

3 5 7 , 4 4 2 , 5 8 5

T a b l e

2 8 .


40/84

32

Data source FAO

Figure 11.


41/84

33

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

2 0 0 6 e s

t i m a t e

0 . 7

3

0 . 1

1

2 , 3

2 3

F A S O

5 1

, 0 3 2

7 . 0

1

2 2

, 1 0 0

C H A D

5 . 7

7

3 . 5 7

1 . 9

7

9 7

, 9 2 9

3 . 1

3

3 7 0

, 0 0 0

2 . 1 1

3 . 5

1

2 2

, 1 3 3

1 7

, 1 5 2

1 3

, 5 2 3

1 3

, 5 7 5

7 . 5

2

2 . 7

5

1 2 5

, 0 0 0

2 3 3

, 3 7 5

1 0

. 5 7

5 0

, 1 0 0

5 7

, 2 0 0

0 . 2

1

1 . 5

9

1 2 2

, 0 0 0

1 2 0

, 0 0 0

0 . 2

2

9 . 2 2

2 0

. 3 1

1 7

, 5 5 3

1 5

, 7 2 5

3 . 5 0

0 . 9

7

1 1

, 3 5 9

2 2

, 3 0 7

2 3

, 0 0 0

5 . 5

1

3 . 9

3

2 , 7

2 5

, 0 0 0

0 . 9 2

3 . 0

2

2 7 7

, 3 0 2

7 3 0

, 0 0 0

T O G O

3 . 9

3

1 . 0 2

2 5

, 0 3 7

3 1

, 5 9 9

3 0

, 7 2 3

W E S T A F R I C A

1 . 5 4

3 . 2 7

4 . 5 4

2 . 0 5

4 . 8

4

1 , 6 0 0 , 8 3 2

2 , 0 4 8 , 7 0 8

2 , 8 1 3 , 1 4 6

4 , 1 0 1 , 7 4 5

4 , 6 6 4 , 0 3 9

5 , 7 2 0 , 6 0 2

T a b l e

2 9 . W

e s t A f r i c a


42/84

34

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

5 . 0

3

1 , 5

2 7

1 9

, 5 0 0

2 . 3

2

7 . 0

1

7 , 7

7 0

1 . 7

3

2 . 5

1

5 . 1

2

1 . 2

5

0 . 3

3

3 , 9

1 5

1 , 9

0 0

0 . 5

1

3 . 2

9

1 . 2

2

3 3 9

3 5 3

5 0 1

5 0 7

0 . 0

0

9 . 3

1

2 . 5

2

1 , 0

2 9

3 , 9

3 9

C E N T R A L A F R I C A

1 4 . 0

4

1 . 7 0

5 . 6 8

- 2 . 0

8

0 . 1 6

1 4 8 , 9 2 6

2 9 1 , 5 2 1

4 0 4 , 9 6 9

5 3 0 , 4 5 8

4 6 6 , 1 9 7

4 6 9 , 8 4 1

T a b l e

3 0 . C

e n t r a l

A f r i c a

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

C O M O R O S

0 . 9

5

0 . 2

0

9 , 5

1 0

1 0

, 1 1 0

1 3

, 9 5 0

3 . 5

3

3

. 5 5

0 . 2

2

7 , 3

1 3

1 1

, 7 3 7

1 3

, 2 2 9

M A D A G A S C A R

1

. 9 9

0 . 7

9

1 , 2

5 0

, 0 0 0

2 . 0

1

1 1

, 3 1 1

0 . 0

0

3 5

3 , 0

7 9

3 , 9

9 0

2 , 1

3 1

1 , 7

1 9

1 1

. 1 1

2 5

. 3 1

3 , 0

1 2

9 , 2

0 0

1

. 5 7

1 0 9

, 1 0 0

3 5 5

, 0 0 0

2 . 7

3

1 0

. 2 1

1 1 3

, 0 0 0

E A S T A F R I C A

3 . 1 4

2 . 9

0

0 . 6 8

2 . 1 8

0 . 4 5

1 , 0 5 5 , 8 1 8

1 , 3 9 0 , 7 4 5

1 , 5 4 2 , 5 7 0

1 , 7 4 5 , 8 3 4

1 , 7 6 5 , 7 1 9

1 , 8 1 1 , 9 1 9

T a b l e

3 1 .


43/84


44/84

36

Figure 12.

Data source: FAO


45/84

37

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1

2 0 0 5 1 9 6 1 9

7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

1 . 1

9

1 . 7

1

2 . 3

9

5 . 2

1

1 . 5

7

1 . 0

2

1 . 7

2

2 . 1

0

3 . 9

7

1 7

. 7 7

1 . 5

7

1 . 3

0

C H A D

0 . 7

5

1 7

. 5 2

1 . 1

7

1 . 5

0

1 . 2

5

1 . 3

2

1 . 0

0

1 . 2

1

1 . 9

5

1 . 2

1

0 . 7

7

1 . 9

3

1 5

. 5 3

1 . 3

0

1 . 3

0

1 . 5

3

0 . 7

7

1

. 9 3

1 . 1

9

2 . 2

3

1 . 1

1

0 . 9

1

1 . 1

1

2 . 1

5

2 . 0

0

0 . 0

2

0 . 0

2

0 . 0

2

0 . 0

2

0 . 5

5

1 . 7

0

1 . 7

1

1 . 7

1

1 . 7

1

1 . 7

7

1 . 5

3

1 . 3

2

1 1

. 5 7

0 . 0

9

1 . 2

3

1 . 1

5

0 . 9

2

0 . 5

5

1 . 0

2

5 . 3

0

3 . 1

0

1 . 0

0

1 . 0

3

1 . 1

7

2 . 0

3

2 . 9

1

1 . 5

0

2 . 0

0

2 . 9

3

3 . 0

7

2 . 7

7

0 . 0

7

2 . 5

2

1 . 7

7

0 . 5

7

1 . 2

7

1 . 1

9

2 . 3

5

2 . 5

2

0

. 3 7

0 . 1

0

1 . 9

9

1 . 3

2

1 . 3

3

T O G O

1 1

. 0 9

1 . 9

9

0 . 9

9

2 . 1

3

W E S T A F R I C A

3 . 5 8

1 . 0 2

1 . 8 0

0 . 1

8

0 . 2 0

1 . 1 5

1 . 3 3

1 . 5 9

1 . 6 4

1 . 6 2

1 . 6 3

T a b l e

3 4 .


46/84

38

A n n u a

l G r o w

t h R a t e

1 9 6 1 9

7 0

1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

0 . 2

2

2 . 0

5

3 . 0

1

3 . 0

2

3 . 2

9

3 . 5

0

1 . 7

2

1 . 2

7

0 . 2

1

1 . 9

0

0 . 2

0

0 . 5

7

0 . 0

5

0 . 0

0

0 . 7

7

0 . 7

5

0 . 2

9

0 . 1

7

1 . 0

9

0 . 7

5

1 . 7

9

1 . 9

9

1 . 7

7

2 . 0

0

1 . 9

9

1 . 9

7

7 . 2

9

1 . 2

9


0 . 2

0

0 . 9 3

0 . 0 5

0 . 7 5

2 . 7 8

0 . 8 0

0 . 8 0

0 . 8 8

0 . 8 4

0 . 9 6

1 . 0 2

T a b l e

3 5 .

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0

1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

C O M O R O S

2 . 0

1

1 . 1

3

1 . 1

3

1 . 2

1

1 . 2

2

1 . 2

1

1 1

. 1 0

1 . 9

2

5 . 0

7

M A D A G A S C A R

0 . 1

9

1

. 0 3

0 . 1

2

2 . 1

0

2 . 7

9

0 . 5

3

1 1

. 7 9

- -

0 . 2

9

3 . 3

3

1 . 9

2

0 . 7

0

0 . 9

9

1 . 0

2

1 . 0

0

0 . 9

3

2 . 7

2

2 . 1

7

5 . 1

1

1 . 1

7

1 . 1

3

1 . 5

9

1 . 9

3

2 . 2

1

1 . 1

3

E A S T A F R I C A

0 . 3

4

1 . 2 1

3 . 1 4

0 . 5

2

6 . 7 3

1 . 7 4

1 . 7 4

1 . 8 2

1 . 9 3

2 . 2 0

2 . 5 4

T a b l e

3 6 .


47/84

39

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2 0 0 0 2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2 0

0 5

2 0 0 6

e s t i m a t e

1 . 1

0

0 . 0

7

2 . 5

1

0 .

1 5

2 . 1

3

1 . 2

9

1 . 5

1

1 . 5

7

1 . 3

7

2 . 0

1

1 . 7

5

2 . 3

5

2 . 3

9

W O R L D

2 . 1

1

2 . 1

1

2 . 5

2

3 . 2

3

3 . 7

2

T a b l e

3 7 .

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0

1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0

1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

1 . 9

3

2

. 9 1

3 . 2

1

7 . 5

2

1 . 2

1

1 . 1

3

3 . 1

9

9

. 2 1

0 . 7

7

1 1

. 2 3

1 . 3

2

1 . 0

9

0 . 9

7

0 . 0

0

1 . 5

1

2 . 2

3

2 . 3

1

2 . 3

0

2 . 2

9

2 . 9

0

5 . 2

0

0

. 9 7

1 . 3

7

0 . 2

2

0 . 1

2

0 . 7

3

0 . 9

7

0 . 9

9

1 . 2

2

1 . 2

9

- 2

. 1 5

2 . 0

2

1 . 3

5

1 . 7

5

2 . 1

5

2 . 2

2

S O U T H E R N

A F R I C A

2 . 4

1

7 . 6 2

0 . 7 3

8 . 5 7

1 1 . 1

9

1 . 3 3

1 . 1 2

0 . 9 0

0 . 8 8

0 . 9 1

0 . 9 8

T a b l e

3 8 . S

S A , A

f r i c a a n

d W

o r l d


48/84

40

Each dot represents 20,000 tonnes Data source FAO

Figure 14. Per capita rice production in 2006

Figure 13. Paddy rice production in 2006

Each dot represents 5 tonnes Data source FAO


49/84

41

A n n u a

l G r o

t h R a t e

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0 1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2 0

0 5

2 0 0 6

e s t i m a t e

1 9

. 7 9

2 0

. 7 1

7 . 1

3

2 2

, 9 5 3

7 0

, 9 7 2

F A S O

1 1

. 3 3

1 1

. 2 7

2 3

. 0 5

5 . 9

7

2 . 0

1

5 1

, 3 1

9

5 2

, 0 0 0

C H A D

5 . 3

1

1 5

. 2 1

1 . 7

3

3 7

, 1 9 7

1 2 2

, 5 7

1

7 . 5

1

2 . 5

1

7 0 0

, 0 0 0

2 . 0

2

0 . 5

1

5 . 2

7

5 . 5

1

7 . 0

3

2 0

, 7 0 0

5 . 1

1

7 1

, 7 9 0

2 5 0

, 0 0 0

3 . 1

0

1 0 2

, 5 0 0

1 1 3

, 0 7 9

2 . 1

5

1 . 9

5

7 . 9

2

1 2 3

, 3 1 5

1 1 2

, 2 0

0

1 . 7

7

1 0

. 2 0

0 . 2

1

1 9

. 0 9

5 . 1

7

2 . 1

2

9 . 3

0

7 . 2

9

1 0

. 5 0

0 . 9

3

5 3 3

, 2 0 0

2 . 0

9

2 . 7

1

T O G O

- 0

. 9 7

9 . 5

1

W E S T A F R I C A

5 . 1 8

4 . 3 2

6 . 4 2

1 . 8 7

5 . 0 6

1 , 8 4 8 , 2 2 9

2 , 7 3 2 , 6 8 0

4 , 5 0 4 , 6 6 9

6 , 7 3 0 , 8 2 6

7 , 5 5 4 , 4 4 8

9 , 3 2 0 , 0 5 2

T a b l e

3 9 .


50/84

42

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0

1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

2 0

. 7 3

2 . 5

1

2 , 9

9 5

2 3

, 0 0 0

3 . 9

9

1 1

, 1 9 2

2 9

, 0 7 2

3 0

, 0 0 0

2 . 3

0

3 1 2

, 2 9 7

3 7 3

, 9 5 0

0 . 5

1

5 , 0

7 5

1 , 3

1 9

1 . 3

0

- 5

. 0 3

0 . 0

2

1 , 0

0 0

1 , 0

0 1


1 3 . 8

1

2 . 6 5

5 . 7 3

1 . 3

4

2 . 9 4

1 1 9 , 3 3 7

2 3 4 , 6 2 9

3 5 7 , 2 5 3

4 4 3 , 8 1 1

4 4 6 , 5 9 4

4 7 9 , 4 7 4

T a b l e

4 0 . C

e n t r a l

A f r i c a

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0

1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0

1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0

1 9 7 1 1 9 8 0

1 9 8 1 1 9 9 0

1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

C O M O R O S

1 . 5

3

1 . 3

7

0 . 7

7

1 0

, 7 0 0

1 7

, 0 0 0

7 . 1

7

2 . 7

2

1 7

, 2 5 2

M A D A G A S C A R

0 . 5

5

3 . 0

3

2 . 2

7

3 5

, 5 2 3

5 0

, 0 0 0

3 3

. 3 3

1 7

. 9 3

1 0 0

5 . 9

9

3 0

. 9 9

2 , 7

9 0

2 0

, 0 0 0

5 . 0

7

E A S T A F R I C A

2 . 8 0

1 . 6 6

3 . 8 5

1 . 6 5

7 . 2 1

1 , 8 3 6 , 2 6 2

2 , 4 0 8 , 3 7 8

2 , 8 0 6 , 6 5 3

3 , 3 6 3 , 2 5 9 3 , 8 9 4 , 5 7 2

4 , 6 0 1 , 3 8 2

T a b l e

4 1 .


51/84

43

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

4 . 1 3

2 . 8 3

5 . 4 1

1 . 8 1

5 . 8 1

3 , 9 3 0 , 6 8 5

5 , 4 9 1 , 3 4 7

7 , 7 7 6 , 7 9 3

1 0 , 6

8 8 , 6

4 6

1 2 , 0

7 2 , 1 3

2

1 4 , 6

0 0 , 9

8 0

5 . 1

0

W O R L D

3 . 8 8

2 . 6 9

2 . 4 0

1 . 7 2

1 . 1 7

2 6 4 , 5 8 5 , 7 9 8

3 5 2 , 3 3 4 , 0 1 5 4 6 7

, 4 0 0

, 9 4 4

5 5 8 , 3 9 3 , 5 8 4

5 9 4 , 3 8 1 , 3 7 9

6 3 4 , 6 0 5 , 7 3 3

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0

1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0

2 0 0 1 2 0 0 5

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

1 9

, 2 9 7

7 , 9

5 3

9 , 0

0 0

0 . 2

3

1 9

. 9 1

1 . 2

7

0 . 0

0

2 , 9

0 0

3 , 0

0 0

2 , 9

9 0

3 2

. 5 2

5 , 0

3 9

1 , 0

0 5

1 2

1 . 1

0

1 , 5

2 7

1 3

, 3 3 7

2 1

. 1 1

1 3

. 9 1

0 . 5

1

2 , 7

5 7

S O U T H E R N A F R I C A

0 . 0

7

6 . 8

0

1 . 8 0

1 5 . 6

9

1 6 . 1

8

1 2 6 , 8 5 7

1 1 5 , 6 6 0

1 0 8 , 2 1 9

1 5 0 , 7 5 1

1 7 6 , 5 1 8

2 0 0 , 0 7 2

T a b l e

4 2 .

T a b l e

4 3 .


52/84

44

Figure 15.

Data source FAO

Data source FAO


53/84

45

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1

9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2 0 0 5

1 9 6 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

F A S O

0 . 0

0

0

. 0 0

0 . 0

0

0

1 0

. 7 2

1 0

. 5 9

C H A D

2 2

. 9 7

0 . 1

3

0 . 0

0

1 3 3

1 , 5

3 1

5 7 2

2 5 0

1 0

. 2 0

0 . 0

0

3 2 9

, 0 9 2

1 9

. 2 5

9 , 5

7 5

1 9

, 3 2 1

3

. 5 0

1 3

. 3 9

2 . 3

9

5 2

, 2 5 9

3 7 5

, 2 0 0

2 1

. 2 5

5 . 2

7

7 . 5

5

3 . 5

1

9 . 1

1

1 5 0

, 9 9 2

0 . 0

0

0

. 0 0

1 5

, 7 0 1

1 7

. 5 0

2 . 2

2

7 . 3

9

5 9

, 9 5 5

1 0 0

. 3 1

5 9

. 0 5

1 , 0

9 1

3 2

, 2 1 1

0 . 0

0

3 . 9

0

3 2

. 1 2

7 5 0

, 0 0 0

0

. 0 0

3 0

. 2 7

1 0

, 2 5 7

T O G O

1 9

. 7 3

5 3

, 5 7 2

W E S T A F R I C A

4 . 9 8

1 6 . 6

9

2 . 1

3

1 . 7 6

0 . 8

0

3 5 8 , 4 8 6

8 2 9 , 0 9 4

1 , 7 3 0 , 3 5 1

1 , 5 4 0 , 9 0 7

3 , 0 7 4 , 9 5 6

4 , 7 3 7 , 1 1 1

T a b l e

4 4 .


54/84

46

A n n u a

l G r o w

t h R a t e

1 9 6 1

1 9 7 0

1 9 7 1

1 9 8 0

1 9 8 1

1 9 9 0

1 9 9 1

2 0 0 0

2 0 0 1

2 0 0 5

1 9 6 1

1 9 7 0

1 9 7 1

1 9 8 0

1 9 8 1

1 9 9 0

1 9 9 1

2 0 0 0

2 0 0 1

2 0 0 5

2 0 0 6

e s t

i m a t e

0 . 0

0

1 , 0

5 7

2 , 1

3 0

0

2 , 5

2 0

5 2 9

0 . 1

1

3 . 9

5

1 1

. 0 0

2 . 1

7

9 , 5

5 7

1 1

. 2 5

5 . 7

2

3 . 9

5

1 0

. 1 1

1 2

, 3 2 2

0 . 0

0

1 5

. 1 7

2 , 0

5 1


0 . 0 6

2 . 8 7

4 . 5 6

8 . 2 2

1 1

. 0 4

2 9 , 9

0 4

4 2 , 5

1 9

8 0 , 8

5 0

8 3 , 1

8 2

8 8 , 2

1 6

1 0 3 , 7 4 2

T a b l e

4 5 .

C e n

t r a l

A f r i c a

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1 9

8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

C O M O R O S

2 3 , 1

7 7

2 . 1 1

3 , 5 9 2

1 9 , 1

7 2

M A D A G A S C A R

1 3 1 , 9 0 9

1 . 0 9

1 , 0 7 3

2 . 7 0

7 2 , 1

7 0

1 3 0 , 5 2 5

1 7 , 1 9

2

1 3 , 9

2 3

2 0 , 2

3 7

E A S T A F R I C A

2 . 6 1

9 . 0 9

2 . 6 2

9 . 7 1

6 8 , 0

5 0

1 7 0 , 1 8 1

3 4 6 , 3 4 8

3 4 7 , 6 1 5

4 4 9 , 7 7 6

4 8 7 , 5 8 0

T a b l e

4 6 .


55/84

47

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

1 , 5 9 9

1 2 , 2

3 0

3 2 , 3

5 0

0 . 0 0

0 . 0 0

0 . 0 0

5

3

2 , 1 5 2

M O R O C C O

1 3 . 2

9

1 5 . 5

9

3 7 , 7

5 2

0 . 0 0

0 . 0 0

0 . 0 0

9 . 3 2

2

7 2 1

1 , 0 7 1

N O R T H A F R I C A

1 0 . 8

7

8 . 8 4

1 2 . 0

3

4 . 4 7

1 7 , 0

4 6

5 2 , 7

6 8

1 1 7 , 2 7 9

1 5 0 , 4 2 8

1 7 5 , 5 7 6

1 2 0 , 8 8 4

T a b l e

4 7 .

T a b l e

4 8 .

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5 1 9 6 1 1

9 7 0 1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2 0

0 5

2 0 0 6

e s t i m a t e

3 7

. 9 0

0 . 0

0

0 . 0

0

7 5

2 2 3

, 5 3 2

S O U T H

1 . 0

5

0 . 0

0

0 . 0

0

0 . 0

0

0 . 0

0

0

0

9 0 5

5 , 0

1 0

0 . 0

0

2 7

. 0 5

5 , 7

2 2

1 . 5 2

1 0

, 2 7 2

9 , 0

7 2

S O U T H E R N

A F R I C A

6 . 8 5

1 5 . 9 1

3 . 3 4

3 . 1 8

1 4 . 3

9

7 4 , 3

3 6

1 7 0 , 1 0 1

3 0 5 , 7 6 5

5 4 4 , 7 7 1

9 6 8 , 4 8 8

1 , 0 8 3 , 2 7 8


56/84

48

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0

1 9 7 1 1 9 8 0 1 9 8 1 1

9 9 0 1 9 9 1 2

0 0 0 2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0 1 9 8 1 1 9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

2 0 0 6

e s t i m a t e

3 . 5

2

1 3

. 0 7

1 . 3

3

1 , 3

9 7

, 3 5 7

2 . 2 0

W O R L D

1 . 5 4

5 . 0 4

0 . 8 4

6 . 3 9

1 . 9 0

6 , 2 4 3 , 4 1 2

7 , 8 4 1 , 9 1 8 9

, 6 9 9

, 4 8 7

1 4 , 2

6 4 , 6

7 4

1 7 , 8

3 8 , 4 8 4

1 8 , 3

0 8 , 7

2 3

T a b l e

4 9 .


57/84

49

Figure 16.tonnes)

Figure 17.tonnes)

( m i l l i o n

t o n n e s )

( m i l l i o n

t o n n e s )

0

2

4

6

8

10

12

14

16

1961 1966 1971 1976 1981 1986 1991 1996 2001 2006


58/84

50

Figure 18.(million tonnes)


( m i l l i o n

t o n n e s )

( m i l l i o n

t o n n e s )


59/84

51



( m i l l i o n

t o n n e s )

( m i l l i o n

t o n n e s )


60/84


61/84

53

A n n u a

l G r o w

t h R a t e

1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5 1 9 6 1 1 9 7 0 1 9 7 1 1 9 8 0 1 9 8 1 1 9 9 0 1 9 9 1 2 0 0 0 2 0 0 1 2 0 0 5

2 0 0 6

e s t i m a t e

1 2

. 3 3

2 , 3

0 1

0 . 0

0

2 9

. 9 2

2 5 7

1 3

, 7 0 5

1 7

. 1 7

2 1

, 9 7 3

C H A D

1 1

. 7 2

2 3

7 7 0

1 2 9

7 . 3

3

1 2

. 7 7

5 . 5

9

2 2

. 9 1

1 , 1

9 0

3 , 9

1 0

1 . 7

0

2 7

. 3 9

2 . 5

7

2 3

, 5 9 3

1 9

. 3 3

1 . 0

0

5 , 7

2 1

1 0

, 0 0 2

1 1

. 3 2

1 7

, 3 9 3

2 2

, 7 7 3

9 7

. 1 2

7 . 1

7

2 0

, 3 0 0

1 0

, 1 9 3

1 , 3

3 7

2 9

. 0 1

0 . 9

2

1 5

, 9 0 7

3 , 0

5 7

1

1 7

. 0 9

1 2

. 1 1

7 0

. 9 3

1 5

, 2 0 7

2 3

, 3 9 9

1 5 0

, 2 0 1

2 9 1

, 3 9 9

2 9

. 0 0

7 7 2

3 5 9

2 2

. 5 0

1 . 3

0

2 7

. 5 7

2 , 9

2 0

2 3

, 0 2 5

T O G O

5 . 7

0

1 0

, 0 0 2

1 , 1

2 3

W E S T A F R I C A

6 . 2 3

3 2 . 3

7

7 . 3

7

5 . 5 4

1 0 . 5

1

5 0 , 4

5 6

2 8 2 , 6 6 6

5 1 9 , 8 9 7

4 4 1 , 5 4 8

7 1 7 , 5 7 2

1 , 2 2 5 , 9 2 6

T a b l e

5 0 :


62/84

54

A n n u a

l G r o w

t h R a t e

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2

0 0 5

1 9 6 1 1

9 7 0

1 9 7 1 1

9 8 0

1 9 8 1 1

9 9 0

1 9 9 1 2

0 0 0

2 0 0 1 2 0

0 5

2 0 0 6

e s t i m a t e

3 3 2

1 1 , 9

3 3

3 7 1

1

1 9 . 3

3

3 7

7 1

1 , 2 3 3

3 7 5

5 1 9

2 3 . 1

5

3 , 7 9 1

2 2 . 1

5

2 2 1

7 , 0 0 0

1 0 , 5

7 3

2 . 3 2

2 , 5 5 1

2 0 5

3 , 3 0 2


5 . 1 7

1 5 . 5

5

9 . 0 0

4 , 8 6 5

1 7 , 0

5 6

3 8 , 7

8 2

4 2 , 8

4 2

2 7 , 1 6 2

2 8 , 4

3 5

T a b l e

5 1 . C

e n t r a l

A f r i c a

T a b l e

5 2 . C

e n t r a l

A f r i c a

A n n u a

l G r o w

t h R a t e

1 9 6 1

1 9 7 0

1 9 7 1

1 9 8 0

1 9 8 1

1 9 9 0

1 9 9 1

2 0 0 0

2 0 0

1

2 0 0 5

1 9 6 1

1 9 7 0

1 9 7 1

1 9 8 0

1 9 8 1

1 9 9 0

1 9 9 1

2 0 0 0

2 0 0 1

2 0 0

5

2 0 0 6

e s t

i m a t e

C O M O R O S

7 . 0 1

0 . 2 2

1 , 3 5 5

3 , 7 5 1

9 . 3 5

M A D A G A S C A R

2 0 . 7 1

1 3 . 0

3

5 . 9 1

1 2 . 0

2

2 3 0

7 2 3

1 3 3

2 5 , 5

3 0

3 2 , 1

5 2

1 0 , 9

3 7

7 9 5

3 9 . 3 5

5 , 1 7 9

0 . 3 1

1 , 9 1 9

2 , 2 3 0

E

2007 africa rice trends 5th edition

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