Logistic
Issues in Africa and relevant country groupings
Salient issues
Logistic issues play a pivotal role in economic development and have become critical in the global economy we live in. The relatively underdeveloped logistic sector in Africa poses a significant barrier to social and economic development on the continent. This problem is compounded by inadequate use made of the current infrastructure. This note reviews indicators relating to the sector. In the survey by UNCTAD, titled World Investment Report, businesses cited the state of physical infrastructure as the most important factor affecting foreign direct investment flows. In a recent interview of Sir Anerood Jugnaut, Chairman of COMESA, the free trade African group of countries, by The Courier magazine, he emphasized the need for countries within that trade organisation to upgrade their road and rail networks and improve telecommunications and facilities for efficient transportation of goods. The Mauritian Chairman was no doubt reflecting on the relatively well-developed logistic infrastructure in Mauritius, which has played a significant role in attracting foreign direct investment to that country. The logistic infrastructure was also highlighted by President Wade of Senegal as a priority sector in a recent meeting of the Francophone group. There are some positive trends on the continent, with privatisation, a move to industry consolidation and cross border management structures, significant investment and good business prospects in the logistic sector. Finally African countries have yet to utilise the immense potential of established grids for communication and multi-utility products. This note looks at country groupings based on income levels and to a limited extent, reviews the situation in individual countries (refer to appendix for indicators for individual countries). Virtually all of Sub-Saharan Africa falls within the Low and Middle Income grouping.
Table 1 Road, rail and air infrastructure in relevant country groupings
|
Country Grouping |
Paved Rd as |
Motor Vehicles per |
Motor Vehicles per |
Aircraft departures |
Air passengers |
|
Low & Middle Income |
29.5 |
14 |
38 |
4,979 |
345,787 |
|
Su-Saharan Africa |
15.0 |
21 |
21 |
332 |
16,242 |
|
East Asia & Pacific |
17.4 |
3 |
21 |
1450 |
133,490 |
|
Europe & Central Asia |
86.5 |
|
157 |
676 |
41,143 |
|
Latin America & carib |
26 |
93 |
89 |
1797 |
89378 |
|
Middle East & N Africa |
50.2 |
|
65 |
401 |
40,144 |
|
South Asia |
57.0 |
2 |
6 |
323 |
25,390 |
|
High Income |
93.9 |
321 |
585 |
14674 |
1,121,061 |
Road networks
Table 1 presents the road, rail and air traffic infrastructure for low and middle-income countries as well as the average for high-income countries. Sub-Sahara has the lowest proportion of paved roads out of all the groups although it has a much higher vehicle density than South Asia and the same level as that in East Asia & Pacific countries. These other two groupings have seen a much more dramatic increase in the number of vehicles per person over the period 1980 to 1998. The low proportion of paved roads has important implication for speed of transportation, the wear and tear of vehicles and the frequency of roads being blocked during unfavourable weather. In Appendix 1 the relatively low motor vehicles per kilometre of road in most African countries suggests that there existing road network should be accompanied by much higher vehicle numbers to justify investment in road programmes.
Mauritius 96%
Gabon 82%
Tunisia 78.9%
Egypt 78.1%
Algeria 68.9%
Rail networks
Among African countries the use of rail for travelling is significant in Egypt, Congo Republic and Tanzania. For freight the top three countries in the use of railways are all in Southern Africa, South Africa, Zimbabwe and Namibia.
Rail passenger km/ppp Million GDP
Egypt 306,406
Congo Republic 93,827
Mali 29,433
Zambia 57,858
Morocco 17,268
South Africa 283,262
Zimbabwe 140,231
Namibia 129,941
Tanzania 71,671
Gabon
67,137
Source: UNCTAD
Air traffic
Aircraft departures in Table 1 in Sub-Saharan countries were marginally higher than in the South Asia region, the number of passengers carried was substantially higher in the later. This suggests the use of much larger planes or a higher load factor, in either case implying relatively high cost per departure in Sub-Saharan Africa. South Africa, Egypt and Mauritius lead in terms of airfreight. South Africa, Egypt and Algeria are the top countries in terms of passenger traffic.
Air passengers carried ‘000
South Africa 6,480
Egypt 3,895
Algeria 3,382
Morocco 3,012
Tunisia 1,859
Airfreight - Million ton-km
South Africa 301
Egypt 255
Mauritius 167
Zimbabwe 140
Ethiopia 127
Voice and Data Communication Infrastructure
As Table 2 shows ownership of mobile and main line phones in the Sub-Saharan region is rather low, waiting times long and PC per person and internet hosts per person are relatively low on the continent. Although other groupings, notably, South Asia have similarly underdeveloped communication infrastructure, the relatively high rate of growth in that region in the last two years is likely to have changed the indicators significantly since the survey was carried out. Looking at individual countries in Africa, market penetration for mobile phones was highest, by far, in South Africa and Mauritius. A similar situation was the case for mainline telephones although the Mauritian level of penetration was almost double that of South Africa. Waiting lists for main line phones were significant for all countries, four months or more. In ten countries the waiting times were in excess of ten years. Fax machines, the ubiquitous but increasingly outmoded office equipment is still in limited use, with all countries with the exception of Mauritius reporting less than 5 per thousand people. Market penetration for Personal computers is highest in Mauritius, South Africa and Botswana. Internet hosting is largely concentrated in South Africa.
|
Country |
Mobile Phones per 1000 people |
Mainline telephones per 1000 people |
Mainline Waiting lists ‘000 |
Mainline Waiting time years |
Fax Machines per 1000 people |
Personal Computers per 1000 people |
Internet hosts per 10,000 people |
|
Low & Middle Income |
17 |
69 |
36,746.4 |
2.4 |
1.3 |
15.6 |
4.16 |
|
Sub-Saharan Africa |
5 |
14 |
1,440.0 |
4.2 |
|
7.5 |
2.32 |
|
East Asia & Pacific |
25 |
70 |
1,901.5 |
1.1 |
1.6 |
14.1 |
2.39 |
|
Europe & Central Asia |
23 |
200 |
15,832.4 |
2.8 |
1.6 |
34.6 |
15.47 |
|
Latin America & Carib |
45 |
123 |
4,141.2 |
1.1 |
3.1 |
34.0 |
14.78 |
|
Middle East & N Africa |
8 |
81 |
|
2.0 |
|
9.9 |
0.37 |
|
South Asia |
1 |
19 |
3,292.4 |
4.8 |
0.3 |
2.9 |
0.17 |
|
|
|
|
|
|
|
|
|
|
High Income |
265 |
567 |
101.4 |
0.0 |
72.3 |
311.2 |
607.55 |
Major markets for phones
Mobile phones have been viewed by some commentators as the panacea for the phone starved African consumer faced with horrendously long waiting time. To a certain extent this is happening and although main line phones are by far the main medium. The current difficult market conditions facing telecom operators worldwide should make Africa a relatively more attractive market, particularly given the high revenue currently accruing to operators on the continent. In terms of market volumes a recent survey gave the size of the leading markets for mobile phone as follows:
Mobile
phones in Africa June 2000 (Millions)
South Africa 6.2
Morocco 1.4
Egypt 1.35
Cote d’Ivoire .342
Zimbabwe .249
Uganda .142
Reunion .180
Mauritius .134
Tunisia .124
Ghana .111
Source: Opportunity Africa
Main line phones per 1000 people (1998)
Mauritius 214
South Africa 115
Egypt 78
Namibia 69
Botswana 65
Source: UNCTAD
Policy issues leading to the current situation
The policies and environment, which have given cause to the current state of
the logistic infrastructure across continent, have been extensively
documented. Inadequate investment by
the public sector and lack of foreign direct investment to augment the limited
public budget is largely the cause. When investment is made it is sometimes done for political reasons, for
example roads being build not to open up productive agricultural regions but
because they lead to regions which are important for politicians, pork barrel
politics that the continent can ill afford. There has not been any significant rail development for the last few
decades. Perhaps the biggest obstacle
to the development and maintenance of the logistic infrastructure relate to
ownership and control, namely state control. This ownership structure has resulted in inefficiencies that could not
be sustained in the private sector. Many state companies and employees have on the whole yet to accept their
primary role as providers of a service and for some operators the concept of
consumer power is alien. State
ownership has deterred private investment from abroad except for short-term
contractual projects. Foreign aid has
sometimes tended to the grandiose, with political rather than strict economic
and financial criteria. There has been
a tendency of one-off capital investment programmes with little attention paid
to maintenance implications, in particular, whether enterprises, which take
ownership, possess the financial resources and management structure to maintain
the infrastructure. Other inhibiting
factors relate to civil strife and in some cases the collapse of the state
machinery to deliver tangible services. Civil strife in all regions of the continent has destroyed the
infrastructure, prevented maintenance and stifled regional solutions to logistic
issues.
|
Country |
Revenue per mainline $ |
Cost of local call $ per 3 minutes |
Cost of call to U S $ per 3minutes |
|
Low & Middle Income |
439 |
0.06 |
4.49 |
|
Su-Saharan Africa |
962 |
0.09 |
|
|
East Asia & Pacific |
378 |
0.03 |
3.82 |
|
Europe & Central Asia |
219 |
0.07 |
3.97 |
|
Latin America & carib |
843 |
0.09 |
5.25 |
|
Middle East & N Africa |
463 |
0.04 |
|
|
South Asia |
378 |
0.03 |
|
|
High Income |
1,035 |
0.10 |
1.76 |
Source: UNCTAD
The effect of the current situation on logistic solutions
The effect of the policies mentioned above has manifested themselves in the quality and cost of delivering logistic solutions. In this issue we highlight the cost to the telecommunications sub-sector. Subsequent issues will look at other logistic sub sectors. African and Latin American and Caribbean countries face the highest charges for local calls, at US$0.09 per three minutes. The two regions also report the highest revenue per mainline among the group of low and middle income countries. The higher revenue per line observed in high-income countries is a reflection of the intense use made of telephones in those countries because of the relatively (compared to income levels) low rate of calls. Perversely, the high revenues reported in the two grouping are because of the relatively high charges state monopoly operators can command which results in low intensity of use in those countries. Lower charges could result in lower income per line but overall profitability for phone operators could rise because of more intensive use being made of this medium. Among African countries The Gambia toped the list for local call charges at $0.32 per three minutes. The Nigerian telephone operator made the highest revenue per mainline, which at $3,904 per line was nearly twenty times the revenue level made by operators in low and middle income countries in Europe and Central Asia. International calls are prohibitively high, with a three-minute call to the US in Chad, the country that reported the highest rate, costing $14.07. The high cost of international calls is a particular cause for concern because not only does it impose a block on the very nascent Internet sector, with many African countries relying on foreign hosting of their sites, but also relating to access to information which this medium allows. Furthermore telecom charges are becoming extremely important in the efficient movement and tracking of goods around the world. The table below on waiting lists can provide a rough idea of the size of the largest markets Algeria with the longest waiting list also has low revenue per line, which suggests that the telephone operator may be charging too low a rate. The other countries should be more attractive to investors because revenues are significantly higher than those charged in other regions of the world at a similar level of development.
Main line waiting list ‘000 Rev per line $
Algeria 730 157
Sudan 340 634
Ethiopia 230.2 542
South Africa 116 1177
Zimbabwe 109 641
Source: UNCTAD
Future prospect
The scenario for the
continent has got some bright sparks. Commercial services imports into Africa are significant, worth US $26
Billions in 1998 and although not growing as fast as the levels in some other
similar country groupings, it has not witnessed the contraction seen in the
Middle East and North Africa group over the period 1980-1998. Transport and travel make up 71.9% of all
commercial service imports. This trade
is likely to grow given certain positive changes taking place around the
continent. Chief among the positive
trends is the move away from state monopolies.
Governments across the continent are discussing, planning and
implementing privatisation policies, transferring state companies involved in
logistics to local and foreign investors. Pressure will continue to pile on Governments internally and externally
by Western Countries who are all firm believers in the efficacy of the private
sector. Privatisation of airlines,
shipping lines, ports and airports, telecommunication and other sub-sectors in
the logistic chain could see considerable gains for consumers and the countries
where this process is taking place. To
a large extent, the final effect may relate to the size of the market, some
African countries may lack the critical size to justify foreign investment and
effective competition simultaneously, a crucial proviso for privatisation to
result in efficiency gains. In such
cases efforts should be made to set up regional markets; when regional
solutions are sought, they should be divorced from political abuse, otherwise
there will be a repeat of the current Air Afrique problems. However, as we can see from the example of
revenue per mainline in African countries, relative to the cost of delivering
service, as given by the low cost country groupings, there is opportunity for
operators to provide decent services and make reasonable profit. There has been move to regional
consolidation as well as and management and joint venture activities in several
African countries. South African,
Mauritian, Ethiopian, Kenyan, Zimbabwean, Moroccan and European operators of
ports, airports, shipping lines, airlines couriers have been engaged in cross
border deals. Technological
developments and changes in the regulatory environment have seen utilities in
high-income countries moving into telecommunications and vice versa, resulting
in positive effects in terms of the quality and price of services. This process is as yet underdeveloped in
Africa although the potential is there to use existing grids. High telecom charges on the continent will
make this a viable prospect.
|
Country |
Commercial Service |
Commercial Service |
Transport % |
Transport % |
Travel % |
Travel % |
|
Low & Middle Income |
116,852 |
302,725 |
54.2 |
34.8 |
18.8 |
24.5 |
|
Su-Saharan Africa |
19,463 |
26,076 |
49.8 |
39.8 |
18.9 |
31.2 |
|
East Asia and Pacific |
16,264 |
103,578 |
54.1 |
33.9 |
15.6 |
19.1 |
|
Europe and Central Asia |
17,615 |
59,318 |
|
21.9 |
|
30.4 |
|
Latin America & Carib |
27,961 |
64,677 |
46.2 |
40.3 |
32.9 |
32.9 |
|
Middle East & N Africa |
32,147 |
29,886 |
|
|
|
|
|
South Asia |
4,724 |
19,308 |
64.8 |
58.0 |
6.4 |
12.8 |
|
High Income |
279,815 |
1,001,840 |
42.5 |
26.7 |
20.2 |
33.3 |
Source: UNCTAD
Democratic breakthroughs
Although there is a lot of news coverage in the West given to civil strife on the continent, there have been significant developments towards civil order, open and free government and transparency. Pressure from Western and multinational organisations are pushing many governments towards this path, one that will lead to improved investment climate for foreign companies wishing to move to the logistic sector. Similarly, there is pressure on African Governments to deliver tangible services from Western Donor agencies, private Citizens, the press and new opposition parties, emboldened by the freedoms provided in the democratic climate that is taking shape in some African countries. This will ensure more open debate on the type of logistic infrastructure that is built and its maintenance.
Investment opportunities
On the whole the business environment is improving and as Stephen Williams of Control Risk Group stated in an interview with African Business magazine “basically if you look at sub-Sahara Africa overall, you see that there is a gradual and continuing political and economic development and reform going on at the moment. There is a broadly accepted free-market ideology and governments are making attempts to make progress.” Mr Williams cited that Mozambique, Tanzania and Zambia are the most optimistic in terms of overall investment. In Table 5 we have identified countries, which exhibited considerable investment in the period 1996-98, and countries that have been identified as having the best investment opportunities in Africa. Botswana tops the league, with considerable investment in the period 1996-1998 and best investment opportunities for the period 2000-2003 in motor vehicles, telecommunications, transport and storage and tourism. Since the report was published the political turmoil in Zimbabwe has made that country less attractive to investment overall and it is highly unlikely that the sectors identified as providing best investment opportunities would still be classified as such. The columns for security and political risks also show that most countries listed are classified as low to medium risks.
Table 5 Foreign Direct Investment Inflows and investment opportunities in Africa
CI = Considerable investment 1996-98
BI = Best investment opportunities 2000-2003
|
|
Motor vehicles |
Telecommunications |
Transport and Storage |
Tourism |
Security Risk |
Political Risk |
|
Algeria |
BI |
|
|
|
Medium |
Medium |
|
Botswana |
CI, BI |
CI, BI |
CI, BI |
CI, BI |
Insignificant |
Low |
|
Burkina Faso |
|
CI |
|
CI |
Insignificant |
Low |
|
Cameroon |
|
BI |
CI |
BI |
Medium |
Medium |
|
Cape Verde |
|
|
|
CI |
|
|
|
Congo, Democratic Rep |
|
CI, BI |
BI |
|
High to Extreme |
High |
|
Cote d’Ivoire |
|
CI |
BI |
CI, BI |
Medium |
Medium |
|
Egypt |
CI |
CI |
CI, BI |
CI, BI |
Low |
Low |
|
Ethiopia |
|
BI |
|
CI, BI |
Medium |
Medium |
|
Gambia, The |
CI |
CI, BI |
CI, BI |
CI, BI |
Low |
Medium |
|
Ghana |
|
CI |
|
CI, BI |
Insignificant |
Low |
|
Kenya |
|
BI |
|
|
Medium |
Medium |
|
Madagascar |
|
CI |
CI |
CI, BI |
Low |
Low |
|
Malawi |
|
CI, BI |
BI |
CI, BI |
Low |
Low |
|
Mali |
|
CI, BI |
|
BI |
Low |
Low |
|
Mauritius |
|
CI, BI |
CI, BI |
CI, BI |
|
|
|
Morocco |
|
BI |
BI |
BI |
Low |
Low |
|
Mozambique |
|
BI |
|
CI, BI |
Low |
Medium |
|
Namibia |
|
CI |
CI |
CI |
Low |
Low |
|
Niger |
|
BI |
|
BI |
Medium |
High |
|
Senegal |
|
BI |
|
|
Low |
Low |
|
Seychelles |
|
CI |
|
CI, BI |
|
|
|
South Africa |
CI, BI |
CI |
|
BI |
Medium |
Low |
|
Sudan |
|
CI |
CI |
|
Medium To Extreme |
Medium |
|
Tanzania |
|
CI |
|
CI, BI |
Low |
Low |
|
Togo |
|
BI |
|
|
Low |
Medium |
|
Tunisia |
CI |
|
CI |
CI |
Low |
Low |
|
Uganda |
|
BI |
BI |
BI |
Low |
Low |
|
Zambia |
|
CI |
|
CI, BI |
Low to Medium |
Low |
|
Zimbabwe |
|
CI, BI |
|
|
Medium |
High |
Source: UNCTAD, Africa Business Magazine
Appendix 1 Road, rail and air infrastructure in African countries 1998
|
Country |
Paved Rd as % of total |
Motor Vehicles per 1000 people |
Motor vehicles per km of Rd |
Rail Passenger km per ppp $million GDP |
Goods by rail ton-km per $millions of GDP |
Aircraft departures ‘000 |
Air passengers carried ‘000 |
Airfreight million ton-km |
|
Algeria |
68.9 |
52 |
8 |
13,564 |
|
44 |
3,382 |
19 |
|
Angola |
25 |
20 |
3 |
|
|
7 |
553 |
38 |
|
Burkina Faso |
16 |
5 |
5 |
|
|
2 |
102 |
14 |
|
Burundi |
|
|
|
|
|
1 |
12 |
0 |
|
Benin |
20 |
8 |
7 |
|
|
2 |
91 |
14 |
|
Botswana |
23.5 |
45 |
4 |
|
|
5 |
142 |
0 |
|
Cameroon |
12.5 |
12 |
5 |
13,282 |
37,719 |
7 |
278 |
31 |
|
Central African Republic |
2.7 |
1 |
0 |
|
|
2 |
91 |
14 |
|
Chad |
0.8 |
8 |
1 |
|
|
2 |
98 |
14 |
|
Congo, Dem Rep |
|
|
|
695 |
|
|
|
|
|
Congo Rep |
9.7 |
20 |
4 |
93,827 |
|
|
|
|
|
Cote d’Ivoire |
9.7 |
28 |
9 |
6,125 |
19,827 |
4 |
162 |
14 |
|
Egypt |
78.1 |
30 |
28 |
306,406 |
20,062 |
40 |
3,895 |
255 |
|
Eritrea |
21.8 |
2 |
2 |
|
|
|
|
|
|
Ethiopia |
15 |
2 |
4 |
|
|
27 |
790 |
127 |
|
Gambia, The |
35.4 |
17 |
7 |
|
|
|
|
|
|
Gabon |
82 |
29 |
5 |
11,575 |
67137 |
10 |
467 |
35 |
|
Ghana |
24.01 |
7 |
4 |
|
|
4 |
210 |
30 |
|
Guinea |
16.5 |
5 |
|
|
|
1 |
36 |
1 |
|
Guinea Bissau |
10.3 |
10 |
3 |
|
|
1 |
20 |
0 |
|
Kenya |
13.9 |
14 |
6 |
12,585 |
41917 |
20 |
1,138 |
54 |
|
Lesotho |
17.9 |
17 |
8 |
|
|
2 |
28 |
0 |
|
Libya |
57.1 |
209 |
948 |
|
|
6 |
571 |
0 |
|
Madagascar |
16.6 |
5 |
2 |
|
|
18 |
601 |
31 |
|
Malawi |
19 |
5 |
2 |
3,095 |
11,185 |
4 |
158 |
4 |
|
Mali |
12.1 |
5 |
3 |
29,433 |
34,053 |
2 |
91 |
14 |
|
Mauritania |
11.3 |
12 |
4 |
|
|
5 |
250 |
14 |
|
Mauritius |
96.0 |
92 |
57 |
|
|
11 |
848 |
167 |
|
Morocco |
52.3 |
48 |
21 |
17,268 |
49,613 |
40 |
3,012 |
58 |
|
Mozambique |
18.7 |
1 |
0 |
|
|
5 |
201 |
6 |
|
Namibia |
8.3 |
82 |
2 |
5,887 |
129,941 |
8 |
214 |
32 |
|
Nigeria |
30.9 |
26 |
14 |
26,710 |
4,834 |
8 |
313 |
8 |
|
Niger |
7.9 |
5 |
5 |
|
|
2 |
91 |
14 |
|
Rwanda |
9.1 |
3 |
2 |
|
|
|
|
|
|
Senegal |
29.3 |
14 |
8 |
6,223 |
35,183 |
4 |
121 |
14 |
|
Sierra Leone |
8 |
6 |
3 |
|
|
0 |
0 |
0 |
|
South Africa |
11.8 |
NA |
17 |
28,670 |
283,262 |
93 |
6,480 |
301 |
|
Sudan |
36.3 |
10 |
28 |
4,511 |
41,113 |
4 |
499 |
6 |
|
Tanzania |
4.2 |
5 |
2 |
|
71,671 |
6 |
220 |
4 |
|
Togo |
31.6 |
27 |
15 |
|
|
2 |
91 |
14 |
|
Tunisia |
78.9 |
64 |
25 |
15,146 |
42,975 |
20 |
1,859 |
20 |
|
Uganda |
|
4 |
|
|
4,990 |
1 |
100 |
1 |
|
Zambia |
|
23 |
6 |
28,868 |
57,858 |
1 |
49 |
1 |
|
Zimbabwe |
47.4 |
31 |
19 |
16,784 |
140,231 |
18 |
789 |
140 |
Source: UNCTAD
Appendix 2 Communication Infrastructure 1998 (For Internet Hosts 1999)
|
Country |
Mobile Phones per 1000 people |
Mainline telephones per 1000 people |
Mainline Waiting lists ‘000 |
Mainline Waiting time years |
Fax Machines per 1000 people |
Personal Computers per 1000 people |
Internet hosts per 10,000 people |
|
Algeria |
1 |
53 |
730 |
5.2 |
0.2 |
4.2 |
0.01 |
|
Angola |
1 |
6 |
|
|
|
0.8 |
0.00 |
|
Burkina Faso |
0 |
4 |
|
|
|
0.7 |
0.19 |
|
Burundi |
0 |
3 |
10.0 |
>10.0 |
0.7 |
|
0.00 |
|
Benin |
1 |
7 |
3.4 |
1 |
0.2 |
0.9 |
0.04 |
|
Botswana |
15 |
65 |
11.8 |
1.0 |
2.3 |
25.5 |
6.00 |
|
Cameroon |
0 |
5 |
45 |
7.9 |
|
|
0.00 |
|
Central African Republic |
0 |
3 |
0.3 |
0.4 |
0.1 |
|
0.00 |
|
Chad |
0 |
1 |
7 |
0.6 |
0.0 |
|
0.00 |
|
Congo, Dem Rep |
0 |
0 |
6.0 |
|
|
|
0.00 |
|
Congo Rep |
1 |
8 |
|
0.8 |
|
|
0.00 |
|
Cote d’Ivoire |
6 |
12 |
72 |
0.8 |
|
3.6 |
0.25 |
|
Egypt |
1 |
78 |
|
0.8 |
0.5 |
9.1 |
0.28 |
|
Eritrea |
0 |
7 |
18.4 |
8.6 |
0.4 |
|
0.01 |
|
Ethiopia |
0 |
3 |
230.2 |
>10.0 |
0.0 |
|
0.01 |
|
Gambia, The |
4 |
21 |
24.0 |
>10.0 |
1.0 |
2.6 |
0.02 |
|
Gabon |
8 |
33 |
10 |
5.1 |
0.4 |
8.6 |
0.02 |
|
Ghana |
1 |
8 |
28.3 |
1.5 |
|
1.6 |
0.06 |
|
Guinea |
3 |
5 |
1.3 |
0.2 |
0.4 |
2.6 |
0.00 |
|
Guinea Bissau |
0 |
7 |
3.0 |
>10.0 |
0.4 |
|
0.13 |
|
Kenya |
0 |
9 |
93.9 |
5.6 |
|
2.5 |
0.19 |
|
Lesotho |
5 |
10 |
20.0 |
>10.0 |
|
|
0.08 |
|
Libya |
3 |
84 |
|
|
|
|
0.00 |
|
Madagascar |
1 |
3 |
16.9 |
5.0 |
|
1.3 |
0.12 |
|
Malawi |
1 |
3 |
30.9 |
>10.0 |
0.1 |
|
0.00 |
|
Mali |
0 |
3 |
|
|
|
0.7 |
0.01 |
|
Mauritania |
0 |
6 |
2.9 |
1.6 |
1.7 |
5.5 |
0.00 |
|
Mauritius |
53 |
214 |
25.0 |
0.8 |
24.5 |
87.1 |
4.56 |
|
Morocco |
4 |
54 |
17.9 |
0.2 |
0.7 |
2.5 |
0.28 |
|
Mozambique |
0 |
4 |
19.7 |
4.2 |
|
1.6 |
0.09 |
|
Namibia |
12 |
69 |
7.1 |
0.6 |
|
18.6 |
11.73 |
|
Nigeria |
0 |
4 |
42.0 |
>10.0 |
|
5.7 |
0.00 |
|
Niger |
0 |
2 |
1.4 |
1.1 |
|
0.2 |
0.03 |
|
Rwanda |
1 |
2 |
3.5 |
2.7 |
0.1 |
|
0.00 |
|
Senegal |
2 |
16 |
24.1 |
1.3 |
|
11.4 |
0.28 |
|
Sierra Leone |
0 |
4 |
25.0 |
>10 |
0.5 |
|
0.14 |
|
South Africa |
56 |
115 |
116 |
0.4 |
3.5 |
47.4 |
33.36 |
|
Sudan |
0 |
6 |
340 |
>10.0 |
0.6 |
1.9 |
0.00 |
|
Tanzania |
1 |
4 |
37.3 |
3.6 |
|
1.6 |
0.05 |
|
Togo |
2 |
7 |
13.2 |
4.1 |
4.1 |
6.8 |
0.17 |
|
Tunisia |
4 |
81 |
80.7 |
1.0 |
3.4 |
14.7 |
0.06 |
|
Uganda |
1 |
3 |
9.0 |
1.5 |
0.1 |
1.5 |
0.06 |
|
Zambia |
1 |
9 |
8.0 |
>10 |
0.1 |
|
0.48 |
|
Zimbabwe |
4 |
17 |
109.0 |
4.2 |
|
9.0 |
1.19 |
Source: UNCTAD
Appendix 3 Main line waiting lists, revenue per line and cost of telephone calls 1998
|
Country |
Mainline Waiting lists ‘000 |
Revenue per mainline $ |
Cost of local call $ per 3 minutes |
Cost of call to U S $ per 3minutes |
|
Algeria |
730 |
157 |
0.02 |
4.70 |
|
Angola |
|
1,625 |
0.14 |
5.13 |
|
Burkina Faso |
|
1,277 |
0.10 |
11.49 |
|
Burundi |
10.0 |
627 |
0.03 |
9.25 |
|
Benin |
3.4 |
1189 |
0.12 |
7.16 |
|
Botswana |
11.8 |
897 |
0.03 |
4.77 |
|
Cameroon |
45 |
1,000 |
0.06 |
3.39 |
|
Central African Republic |
0.3 |
1292 |
0.20 |
8.37 |
|
Chad |
7 |
1,452 |
0.17 |
14.07 |
|
Congo, Dem Rep |
6.0 |
|
|
|
|
Congo Rep |
|
2,200 |
|
|
|
Cote d’Ivoire |
72 |
1,434 |
0.11 |
7.86 |
|
Egypt |
|
265 |
|
5.84 |
|
Eritrea |
18.4 |
922 |
0.03 |
8.24 |
|
Ethiopia |
230.2 |
542 |
0.03 |
7.37 |
|
Gambia, The |
24.0 |
681 |
0.32 |
6.18 |
|
Gabon |
10 |
2,002 |
0.15 |
|
|
Ghana |
28.3 |
1,015 |
0.09 |
|
|
Guinea |
1.3 |
1,678 |
0.10 |
9.04 |
|
Guinea Bissau |
3.0 |
1,920 |
0.14 |
|
|
Kenya |
93.9 |
1,145 |
0.05 |
11.17 |
|
Lesotho |
20.0 |
688 |
0.03 |
|
|
Libya |
|
619 |
0.02 |
|
|
Madagascar |
16.9 |
1,107 |
0.09 |
11.16 |
|
Malawi |
30.9 |
897 |
0.03 |
12.45 |
|
Mali |
|
2,193 |
0.14 |
17.59 |
|
Mauritania |
2.9 |
1,986 |
0.10 |
|
|
Mauritius |
25.0 |
515 |
0.04 |
4.60 |
|
Morocco |
17.9 |
511 |
0.08 |
4.50 |
|
Mozambique |
19.7 |
867 |
0.04 |
|
|
Namibia |
7.1 |
721 |
0.05 |
|
|
Nigeria |
42.0 |
3,904 |
|
|
|
Niger |
1.4 |
1,315 |
0.15 |
|
|
Rwanda |
3.5 |
818 |
0.04 |
|
|
Senegal |
24.1 |
1,095 |
0.13 |
4.48 |
|
Sierra Leone |
25.0 |
130 |
0.04 |
|
|
South Africa |
116 |
1,177 |
0.07 |
|
|
Sudan |
340 |
634 |
0.02 |
7.79 |
|
Tanzania |
37.3 |
925 |
0.09 |
13.30 |
|
Togo |
13.2 |
1,516 |
0.10 |
11.44 |
|
Tunisia |
80.7 |
467 |
0.06 |
6.47 |
|
Uganda |
9.0 |
590 |
0.18 |
8.60 |
|
Zambia |
8.0 |
1,321 |
0.06 |
2.60 |
|
Zimbabwe |
109.0 |
641 |
0.03 |
2.81 |
Source: UNCTAD
|
Country |
Commercial Service imports $ millions |
Transport % of total |
Travel % of total |
|
Algeria*1 |
2,560 |
42 |
13.1 |
|
Angola |
|
|
|
|
Burkina Faso*1 |
192 |
63.0 |
16.7 |
|
Burundi |
|
|
|
|
Benin |
97 |
63.9 |
8.2 |
|
Botswana |
517 |
42.2 |
29.3 |
|
Cameroon*1 |
702 |
39.9 |
11.7 |
|
Central African Republic *1 |
129 |
51.9 |
27.1 |
|
Chad *1 |
20 |
10 |
70 |
|
Congo, Dem Rep |
|
|
|
|
Congo Rep *1 |
474 |
27.4 |
6.1 |
|
Cote d’Ivoire |
1,341 |
42.4 |
17.7 |
|
Egypt |
5,886 |
34.5 |
19.6 |
|
Eritrea |
|
|
|
|
Ethiopia |
405 |
56.0 |
11.4 |
|
Gambia, The *1 |
28 |
82.1 |
3.6 |
|
Gabon *1 |
765 |
22.7 |
12.5 |
|
Ghana |
433 |
61.9 |
5.5 |
|
Guinea |
274 |
54.7 |
9.9 |
|
Guinea Bissau |
|
|
|
|
Kenya |
603 |
51.2 |
24.4 |
|
Lesotho |
50 |
74.0 |
26 |
|
Libya *1 |
1,986 |
29.7 |
59.4 |
|
Madagascar |
326 |
43.6 |
36.5 |
|
Malawi *1 |
179 |
81.6 |
5.5 |
|
Mali *1 |
196 |
70.9 |
10.2 |
|
Mauritania |
130 |
36.9 |
32.3 |
|
Mauritius |
717 |
36.4 |
27.1 |
|
Morocco |
1,414 |
40.1 |
29.9 |
|
Mozambique |
401 |
27.9 |
0.0 |
|
Namibia |
449 |
33.4 |
19.6 |
|
Nigeria |
4,054 |
17.4 |
38.7 |
|
Niger *1 |
265 |
45.3 |
6.8 |
|
Rwanda |
115 |
60.9 |
14.8 |
|
Senegal *1 |
294 |
54.1 |
20.4 |
|
Sierra Leone |
83 |
56.6 |
9.6 |
|
South Africa |
5,278 |
42.6 |
34.9 |
|
Sudan |
200 |
80.5 |
14.5 |
|
Tanzania |
885 |
23.6 |
55.7 |
|
Togo *1 |
153 |
68.6 |
15.0 |
|
Tunisia |
1,153 |
51.3 |
20.3 |
|
Uganda *1 |
104 |
69.2 |
17.3 |
|
Zambia *1 |
638 |
54.5 |
8.8 |
|
Zimbabwe *1 |
389 |
44 |
40.9 |
Source: UNCTAD