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Measuring the complexity of the
Internet
Indexes and Indicators
@EnricoCalandro
Senior Researcher @RIAnetwork
#AISKenya - 30 May 2017
1
Measuring Digital Gaps
2
Why is it
important?
To monitor progress
towards meeting policy
objectives of affordable,
and good quality
access to the Internet
To inform evidence-
based regulation
Physical access
Supply-side issues:
Coverage, Price, QoS
Socio-economic
Demographic
factors
Education, gender,
income, age, skills
Capabilities
Political, Information,
Economic, Social,
Cultural
Rights
Privacy, Safety and
security
Freedom of expression
Inclusion/
Exclusion
3
ICT ecosystem
Broadband introduces levels of complexity in policy,
regulation, business models and consumer choice
Broadband issues
4
Supply side policies Demand side policies Digital rights
Investment/competition
Affordability of services/
devices
Internet governance
Core/access network
expansion - public/private
Government leadership/role
model - demand stimulation
Privacy/Surveillance
Reduction of infrastructure
costs
Regulation/ICT skills
development
Freedom of expression
Spectrum allocation and
assigment
Online local content, app, e-
gov services
Cybersecurity
Universal access and service
Consumer welfare/user
empowerment
Net neutrality
5
Mauri&us
Seychelles
South	Africa
Cape	Verde
Botswana
Ghana
Namibia
Gabon
Kenya
Côte	d'Ivoire
Zimbabwe
Lesotho
Swaziland
Nigeria
Senegal
Gambia
Zambia
Cameroon
Mali
Rwanda
Angola
Liberia
Uganda
Benin
Togo
Equatorial	Guinea
Burkina	Faso
Mozambique
Guinea
Madagascar
Tanzania
Malawi
Ethiopia
Congo	(Dem,	Rep,)
Burundi
South	Sudan
Guinea-Bissau
Chad
Niger 175
174
173
172
171
170
169
168
167
166
165
163
162
160
159
158
157
156
154
150
149
148
147
143
141
137
136
134
133
132
129
124
120
112
108
97
88
87
73
ICT
Development
Index
ITU
Mauri&us
South	Africa
Seychelles
Morocco
Rwanda	
Tunisia
Cape	Verde
Kenya
Egypt
Namibia
Botswana
Ghana
Senegal
The	Gambia
Lesotho
Zambia
Algeria
Nigeria
Ethiopia
Uganda
Zimbabwe
Mozambique
Cameroon
Gabon
Tanzania
Mali
Benin
Swaziland
Liberia
Nicaragua
Malawi
Guinea
Madagascar
Mauritania
Burundi
Chad 139
138
136
135
134
132
131
130
129
128
127
126
125
124
123
122
121
120
119
117
116
115
113
107
102
101
99
97
86
85
81
80
78
70
65
49
Networked
Readiness
Index
WEF
Problems
6
‣ Data Gaps
‣ Uneven indicators/Uneven development
‣ Global indicators and indexes -> assumptions
from mature economies and democracies
‣ Access and use trajectories different ->
indicators are meaningless or difficult to gather
‣ Objective: understand/know underlying data
sources
Measuring Supply-Side and
Demand-side
7
OECD’s 40 calls/60 SMSs basket
8
Q42010
Q12011
Q22011
Q32011
Q42011
Q12012
Q22012
Q32012
Q42012
Q12013
Q22013
Q32013
Q42013
Q12014
27
31 33 34 35 34
37 38
41 39 38 40 42
1818,2 18,3 19,3 19,0 18,1 17,6 17,2 16,7 17,1 17,4 17,2 18,0 18,5
8,4
3,5 3,4 2,8 2,4 2,5 2,3 2,3 1,4 1,4 1,4 1,4 1,4 1,2 1,1
Cheapest in Africa in USD Cameroon basket price in USD
Cameroon rank
Ranking and cost of cheapest prepaid mobile product available in Cameroon and
Africa for OECD’s 40 calls/60 SMSs basket
Source: RAMP RIA
Q1 2014 MTN Cameroon and Orange
Cameroon introduced cheaper voice
products to the market, which positively
shifted their ranking on the mobile
voice index.
9
Q42010
Q12011
Q22011
Q32011
Q42011
Q12012
Q22012
Q32012
Q42012
Q12013
Q22013
Q32013
Q42013
Q12014
27
30
32 32
35 36 36
30
33 34 33 33 32
2021,2 21,3 22,4 22,1 21,0 21,5 20,0
16,7 17,0 17,5 17,3 17,6 18,1
11,9
4,1 4,1 4,0 3,7 4,0 4,0 3,9 3,7 3,7 3,6 3,2 3,2 3,2 2,8
Cheapest dominant operator in Africa in USD
Cheapest dominant operator in Cameroon in USD
Cameroon dominant operator rank
Ranking and cost of cheapest prepaid mobile product from dominant operator
available in Cameroon and Africa for OECD’s 40 calls/60 SMSs basket
Source: RAMP RIA
OECD’s 40 calls/60 SMSs basket
10
Kenya
Ghana
Tanzania
Nigeria
Rwanda
South Africa
Uganda
Mozambique
Cameroon
Ethiopia
Botswana
Namibia 25,3
21,5
21,1
21,0
15,8
13,8
13,7
11,9
11,0
6,2
5,8
4,7
BeMobile
Orange Botswana
MTN Cameroon
Tigo Rwanda
MTC
TN Mobile
Etisalat Nigeria
Mascom
MTN Nigeria
Ethio Telecom
Orange Cameroon
Glo Mobile Ghana
Airtel Nigeria
Glo Moblle Nigeria
Airtel Rwanda
Airtel Uganda
Telkom Mobile
Vodacom Mozambique
MTN Uganda
Smile Uganda
Airtel Kenya
Orange Uganda
Cell C
MTN South Africa
Vodacom South Africa
MTN Rwanda
Safaricom
Airtel Ghana
Vodafone Ghana
Smile Nigeria
Airtel Tanzania
Smile Tanzania
Vodacom Tanzania
Orange Kenya
MTN Ghana
Zantel
Tigo Ghana
Cliq (Expresso Telecom)
Yu Kenya 4,7
5,8
5,8
6,2
7,8
8,8
9,4
10,9
11,0
11,0
11,7
11,7
11,7
11,9
13,7
13,7
13,7
13,8
14,1
14,8
14,8
15,8
16,6
17,7
17,9
18,4
18,4
19,4
21,0
21,1
21,4
21,5
24,5
25,3
25,3
26,8
52,5
68,3
85,3
1GB Basket USD
Cheapest prepaid 1GB basket
for Q1 2014 (in USD)
Q1 2014 Price 1GB basket
in USD
Source: RAMP RIA
The monopoly
granted to
Viettel over 3G
infrastructure
and services
does not allow
the two other
operators,
MTN
Cameroon and
Orange
Cameroon, to
provide mobile
broadband
services.
11
Cost of 1GB ADSL baskets at different speeds in USD
Country Operator
1GB up to
1 Mbps
1GB up to 4
Mbps
1GB up to
10 Mbps
1GB above
10 Mbps
Ethiopia Ethio Telecom 14,45 30,25 337,9
Mozambique TDM 21,59 91,1 136,91
Ghana Vodafone 26,89
Namibia
Telecom
Namibia
36,74 64,36 336,69
South Africa Telkom 37,68 37,68 68,53 86,18
Botswana BTC 46,97 61,81 119,63
Cameroon Camtel 62,81 1002,06
Tanzania TTCL 71,74
Kenya Orange 77,04 124,02
Very low internet use
12
Internet users in RIA countries, 2012 (%)
Source: RIA ICT access and use survey, 2012
Reasons for not using the internet
13
Main reason for not having an internet connection
Source: RIA ICT access and use survey, 2012
‣ In 2012, the new player Viettel obtains a monopoly
over 3G infrastructure to allow it to catch up with
its competitors in the broadband market
‣ Vittel failed to deploy the 3G infrastructure and
asked the Presidency for an extension of its
monopoly until 2016.
• The regulated monopoly created a regulatory barrier for the
development of fast and affordable broadband services.
14
Egypt
Uganda
Tunisia
Ghana
Nigeria
Kenya
Tanzania
Sudan
Rwanda
Ethiopia
Mauri&us
Sierra	Leone
Sierra	Leone
Guinea
South	Africa
Namibia
Gambia
Madagascar
Liberia
Cape	Verde
Mali
Burundi
Zambia
Botswana
Benin
Libya
Cameroon
Mozambique
Burkina	Faso
Malawi
Senegal
Morocco
Cote	d'Ivoire
Algeria
Togo
Lesotho
Mauritania
D.R	Congo
Zimbabwe
Gabon
Congo	Brazzaville
Niger
Sao	Tome	and	Principe
Chad
Central	African	Republic
Swaziland
Seychelles
Angola
South	Sudan 39,1
18,0
15,0
12,1
11,0
10,8
10,1
10,1
10,1
9,2
9,0
8,8
8,4
8,4
8,3
8,3
8,2
8,1
8,0
7,0
6,8
6,6
6,5
6,4
6,4
6,2
6,2
6,0
5,9
5,8
5,0
4,7
4,3
4,2
3,8
3,7
3,5
3,5
3,2
3,1
3,1
3,0
2,4
2,3
2,3
2,2
1,8
1,4
1,2 Egypt
Tunisia
Ghana
Mozambique
Tanzania
Rwanda
Senegal
Nigeria
Guinea
Uganda
Sudan
Cape	Verde
Madagascar
Cameroon
Kenya
Liberia
Morocco
Mauri&us
Burundi
Gambia
Central	African	Republic
Niger
Malawi
Algeria
Togo
Ethiopia
South	Africa
Lesotho
Cote	d'Ivoire
Benin
Burkina	Faso
Sao	Tome	and	Principe
Namibia
Libya
Mauritania
Mali
Zambia
D.R	Congo
Sierra	Leone
Sierra	Leone
Chad
Gabon
Congo	Brazzaville
Seychelles
Botswana
Angola
Zimbabwe
Swaziland
South	Sudan 131,4
34,4
30,0
20,0
18,3
18,2
16,4
16,2
16,2
13,8
13,8
13,0
12,6
12,2
11,7
10,7
10,4
8,7
8,1
8,1
8,0
7,6
7,5
7,4
7,3
7,3
7,2
6,5
6,5
6,3
5,4
5,3
5,0
5,0
4,9
4,9
4,7
4,7
4,4
3,4
3,2
3,2
3,1
3,1
2,3
2,3
2,3
1,8
1,4
OECD basket
(voice/SMS,
Q1 2017 USD)
Source: RAMP, RIA
1GB basket
(Q1 2017 USD)
Source: RAMP, RIA
1GB basket in USD
16
BeMobileBotswana
OrangeBotswana
MTNCameroon
TigoRwanda
MTCNamibia
TNMobileNamibia
EtisalatNigeria
MascomBotswana
MTNNigeria
EthioTelecom
OrangeCameroon
GloMobileGhana
AirtelNigeria
GloMobileGhana
AirtelRwanda
AirtelUganda
TelkomMobile
VodacomMozambique
MTNUganda
SmileUganda
AirtelKenya
OrangeUganda
CellCSA
MTNSA
VodacomSA
MTNRwanda
SafaricomKenya
AirtelGhana
VodafoneGhana
SmileNigeria
AirtelTanzania
SmileTanzania
VodacomTanzania
OrangeKenya
MTNGhana
ZantelTanzania
TigoGhana
CliqGhana
YuKenya
4,75,85,86,2
7,88,89,4
10,911,011,011,711,711,711,9
13,713,713,713,814,114,814,815,816,6
17,717,918,418,419,4
21,021,121,421,5
24,525,325,3
26,8
52,5
68,3
85,3
Download/Upload speed kbps
17
0
 10000
 20000
 30000
 40000
 50000
 60000
Glo Mobile Ghana
Airtel Nigeria
Airtel Uganda
Orange Botswana
Vodacom Tanzania
MTN Rwanda
Airrtel Rwanda
Mascom
Orange Uganda
Tigo Rwanda
Vodafone Ghana
MTN South Africa
Orange Kenya
Airtel Ghana
Smile Uganda
CellC
MTN Nigeria
Vodacom Mozambique
MTN Uganda
Smile Tanzania
Smile Nigeria
MTC
Vodacom South Africa
Telecom Namibia Mobile
Safaricom
Average Combined kbps
 Average Download kbps
 Average Upload kbps
Combined average speed in kbps/1GB price in USD
Q1 2014 - Value for money index
18
0
400
800
1200
1600
SafaricomKenya
VodacomSA
SmileNigeria
SmileTanzania
TNMobileNamibia
MTNUganda
CellCSA
OrangeKenya
MTNNamibia
acomMozambique
SmileUganda
AirtelGhana
VodafoneGhana
MTNNigeria
MTNSA
OrangeUganda
VodacomTanzania
MTNRwanda
AirtelRwanda
TigoRwanda
MascomBotswana
AirtelUganda
AirtelNigeria
GloMobileGhana
OrangeBotswana
19
Kenya - 2017 MySpeed Data
20
Kenya - 2017 MySpeed Data
Conclusions
‣ The biggest problems are not defining
indicators . . .
• It is to create good quality indicators
• It is to collect them systematically
• It is to use them as evidence to influence positive policy
outcomes
21

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