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THE UNITED REPUBLIC OF TANZANIA MINISTRY OF WORKS, TRANSPORT AND COMMUNICATION (TRANSPORT SECTOR) TRANSPORT AND METEOROLOGY SECTOR STATISTICS DECEMBER 2016

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THE UNITED REPUBLIC OF TANZANIA

MINISTRY OF WORKS, TRANSPORT AND COMMUNICATION

(TRANSPORT SECTOR)

TRANSPORT AND METEOROLOGY SECTOR STATISTICS

DECEMBER 2016

ii

iii

TABLE OF CONTENTS

FOREWORD .................................................................................................................................... iv

LIST OF ABBREVIATIONS ........................................................................................................... v

CHAPTER ONE ................................................................................................................................ 1

1.0 INTRODUCTION .................................................................................................................. 1

CHAPTER TWO ............................................................................................................................... 2

2.0 BASIC BACKGROUND DATA ........................................................................................... 2

CHAPTER THREE .......................................................................................................................... 8

3.0 ROAD TRANSPORT ............................................................................................................. 8

CHAPTER FOUR ........................................................................................................................... 16

4.0 RAILWAY INFRASTRUCTURE AND SERVICES ....................................................... 16

CHAPTER FIVE ............................................................................................................................. 20

5.0 PORTS INFRASTRUCTURE AND SERVICES .............................................................. 20

CHAPTER SIX ................................................................................................................................ 33

6.0 INLAND WATER TRANSPORT SERVICES .................................................................. 33

CHAPTER SEVEN ......................................................................................................................... 36

7.0 AIR TRANSPORT INFRASTRUCTURE AND SERVICES .......................................... 36

7.1 Summary of TCAA Statistics .............................................................................................. 36

7.2 Summary of TAA Statistics ................................................................................................. 41

CHAPTER EIGHT ......................................................................................................................... 43

8.0 METEOROLOGICAL INFORMATION .......................................................................... 43

CHAPTER NINE ............................................................................................................................ 46

9.0 TRAINNING INSTITUTIONS ........................................................................................... 46

iv

FOREWORD

Transport is an essential prerequisite for economic growth. It facilitates domestic and international trade;

increases access to markets and links local, regional, national and international markets; alleviates

regional inequality and fosters national integration; and provides access to employment, health,

education and other essential services. The availability and reliability of transport services contribute to

the successful implementation of socio-economic activities, lowering domestic production costs,

enhancing economies of scale in the production process, creating economic opportunities and realisation

of a country’s comparative advantages.

The theme for the Second Five Year Development Plan (2016/17- 2020/21) is “Nurturing

Industrialization for Economic Transformation and Human Development” with the main objective of

enhancing progress towards the Development Vision 2025 goals. Transport sector is a principal agent

for realization of industrialization.

In order for the Transport Sector to play its rightful role in facilitating development of other social and

economic sectors, need for disseminating appropriate transport data and information need not to be

overemphasized. Such information is prerequisite for policy formulation, strategic planning, and in

undertaking monitoring and evaluation process.

In view of the above, the Ministry of Works, Transport and Communication (Transport Sector) has

prepared annual Transport and Meteorology Sector Statistics for the year 2016 in collaboration with key

ministries, departments, authorities and agencies including the National Bureau of Statistics mandated

for provision of official statistics to the Government, business community and the public at large.

Views, comments and feedback with the intention of adding value to this document and assist in

improving the publications are invited and shall be considered in the subsequent publications.

Dr. Leonard M. Chamuriho

PERMANENT SECRETARY - TRANSPORT

v

LIST OF ABBREVIATIONS

DMI Dar es Salaam Maritime Institute

GDP Gross National Product

HQ Head Quarter

JNIA Julius Nyerere International Airport

KIA Kilimanjaro International Airport

MSCL Marine Services Company Limited

MoT Ministry of Transport

MoW Ministry of Works

MSCL Marine Services Company Ltd

NBS National Bureau of Statistics

NIT National Institute of Transport

PMO RALG Prime Ministers’ Office–Regional Administration & Local Government

SUMATRA Surface and Marine Transport Regulation Authority

TPA Tanzania Ports Authority

TRL Tanzania Railway Limited

TCAA Tanzania Civil Aviations Authority

TAA Tanzania Airports Authority

RAHCO Rail Assets Handling Company

TAZARA Tanzania Zambia Railway

TMA Tanzania Meteorological Agency

TRA Tanzania Revenue Authority

TANROADS Tanzania National Roads Agency

1

CHAPTER ONE

1.0 INTRODUCTION

Transport sector has a vital contribution to the development of economy, therefore correct and well

organized statistics is important in the process of facilitating planning, monitoring and evaluating of

performance for the sector. This Transport and Meteorology statistics publication serves as a brief and

comprehensive reference for transport and meteorology services. It covers basic data and information

from transport subsectors, of road, rail, maritime, air transport and Meteorological sector.

Analysis of data in this document has been presented in a simple way that enhances users a quick visual

interpretation and reference, the analysis includes charts and histogram that shows trends and behavior

of transport sector over time.

Inputs have been obtained from various stakeholders, Institutions/Agencies intersecting the Transport

Sector activities in Tanzania. These Agencies/Institutions includes President’s Office – Regional

Administration and Local Government (PO-RALG), Ministry of Works (MoW) Surface and Maritime

Transport Regulatory Authority (SUMATRA), Tanzania Ports Authority (TPA), Tanzania Railway

Limited (TRL), Tanzania Civil Aviation’s Authority (TCAA), Tanzania Airports’ Authority (TAA),

Tanzania Zambia Railway (TAZARA), Marine Services Company Limited (MSCL), Tanzania

Metrological Agency (TMA), Dar es Salaam Maritime Institute (DMI), National Institute of Transport

(NIT), Tanzania Revenue Authority (TRA), TANROADS and Traffic Police (HQ).

The document has nine chapters; first being Introductory part, second is the background of transport

sector, third to nine chapters presenting road, rail, port, inland water transport, air transport,

meteorology services and training institutions consecutively.

2

CHAPTER TWO

2.0 BASIC BACKGROUND DATA

Table 2.1: Data Describing Tanzania, 2016

S/N PARTICULAR DATA/INFORMATION

1. Location East Coast of Africa between latitudes 10S and 120s and between

longitudes 290E and 410E

2. Share border

Kenya and Uganda to the North, Rwanda, Burundi and Democratic

Republic of Congo to the West and Zambia, Malawi to the South

West and Mozambique to the South.

3.

Total area of

Tanzania(000 Sq.

Km)

947.3km2 of which 61.5 km2 is water representing a part of Lakes

Victoria, Tanganyika Nyasa, Rukwa, Eyasi and several other smaller

lakes, rivers and sea whereas landmass is 885.8 km2

4. Capital City Dodoma

5. Commercial City Dar es Salaam with projected population of 4.9 million.

6. Number of

Regions

26 regions in Tanzania Mainland and 5 regions in Zanzibar (i.e 30

regions)

7. Rainfall 203.2 – 2224.1 mm per year

8.

Tanzania

Population

(Projected)

50.9 million people (2016)

9.

Other major

regions with their

projected

population (000)

Mwanza (3,259,243), Mbeya (1,942,898), Arusha (1,896359),

Tanga(2,233,307)

10.

Estimated

Average

Population

Density of the

Country

58 Inhabitants per square kilometer (inh/km2)

11.

Extremes of

average

population density

of the country

Dar es Salaam about 3,507 inhabitants/km2 to 14 inhabitants/km2 in

Lindi Region.

12. GDP at current

Market Prices Tshs 52,762,581 millions (2016)

13. GDP Growth rate 7.0% (2016)

14. Transport 11.8 % (2016)

15.

Mining and

Quarrying growth

rate

11.5% (2016)

16.

Hotels and

Restaurants

growth rate

3.7% (2016)

17. Classified Road

Network 87,663.62Km as per Road Act 2007

18. Railway Network Total Railway Network 3,682Km. TRL 2,707Km (with 1m gauge),

3

S/N PARTICULAR DATA/INFORMATION

TAZARA 975 Km (Tz section) with1.067m gauge.

18. International

Airports JNIA, KIA, Aman Abeid Karume(AAKIA)

20. Aerodromes

Network

There are more than 368 airports in Tanzania including airstrips

serving domestic and international traffic. The government manages

59 of them.

21. Ports Network

There are 3 major seaports namely DSM, Mtwara and Tanga, and

other small seaports at Kilwa, Lindi, Mafia, Pangani and Bagamoyo.

There are also major Inland Water Ways ports at Kigoma, Mwanza,

Bukoba, Musoma and Mbeya (Itungi)

22. Major Mountains Mt Kilimanjaro, Mt Rungwe and Mt Meru

23. Major Lakes Lake Victoria, Lake Tanganyika and Lake Nyasa

24. Major Rivers

KAGERA, RUVUMA, RUFIJI

Source: MWTC.

Table 2.2: SHARES OF GROSS DOMESTIC PRODUCT BY KIND OF ECONOMIC

ACTIVITY (at current prices)

ECONOMIC ACTIVITY 2010 2011 2012 2013 2014 2015 2016

A

Agriculture, forestry and

fishing 29.9 29.4 31.1 31.2 28.9

29.0

29.1

Crops 16.6 16.5 18.0 17.5 16.2 15.6 15.5

Livestock 9.1 8.7 8.5 8.2 7.4 7.9 7.7

Forestry 2.2 2.2 2.5 3.1 3.1 3.5 3.9

Fishing 2.1 2.1 2.2 2.4 2.2 2.1 2.0

B Mining and quarrying 4.1 5.1 4.9 4.2 3.7 4.0 4.8

C Manufacturing 6.9 7.6 7.5 6.4 5.6 5.2 5.1

D Electricity supply 0.9 0.6 0.9 0.8 0.8 1.0 0.9

E

Water supply; sewerage,

waste management 0.6 0.5 0.4 0.5 0.5

0.4

0.4

F Construction 7.8 9.0 8.1 10.8 12.5 13.6 14.0

G

Wholesale and retail trade;

repairs 10.1 10.6 10.4 10.2 10.5

10.7

10.7

H Transport and storage 5.8 5.2 4.4 4.2 4.3 4.3 4.3

I

Accommodation and Food

Services 1.6 1.4 1.4 1.3 1.1

1.1

1.0

J

Information and

communication 2.6 2.4 2.4 2.3 2.1

2.0

2.0

K

Financial and insurance

activities 3.2 3.4 3.4 3.3 3.4

3.6

3.6

L Real estate 4.6 4.3 4.3 3.8 3.7 3.2 3.0

M

Professional, scientific and

technical activities 1.7 1.5 1.3 1.3 1.3

1.2

1.2

N

Administrative and support

service activities 2.2 2.1 2.3 2.4 2.5

2.4

2.2

O

Public administration and

defense 6.1 6.3 6.5 7.0 6.6

6.4

6.3

4

ECONOMIC ACTIVITY 2010 2011 2012 2013 2014 2015 2016

P Education 3.1 2.8 2.6 2.7 2.7 2.5 2.3

Q

Human health and social

work activities 1.7 1.6 1.5 1.4 1.5

1.4

1.4

R

Arts, entertainment and

recreation 0.3 0.3 0.3 0.3 0.3

0.3

0.3

S Other service activities 0.8 0.8 0.8 0.8 0.8 0.8 0.7

T

Activities of households as

employers; 0.3 0.2 0.2 0.2 0.2

0.2

0.2

X FISIM -0.9 -1.1 -1.0 -1.2 -1.0 -1.1 -1.0

All economic activities 93.6 93.8 93.7 93.7 91.9 92.2 92.2

Taxes on products 6.4 6.2 6.3 6.3 8.1 7.8 7.8

GDP at market prices 100 100 100 100 100 100 100

Source: NBS

TABLE 2.3: GROWTH DOMESTIC PRODUCTS AT 2007 PRICES BY ECONOMIC

ACTIVITIES

ECONOMIC

ACTIVITIES 2011 2012 2013 2014 2015 2016

A

Agriculture,

forestry and

fishing 8,621,829 8,901,917 9,186,731 9,497,468 9,719,965 9,924,182

Crops 4,454,219 4,640,787 4,801,783 4,993,855 5,106,027 5,175,489

Livestock 2,948,017 3,001,944 3,062,481 3,129,647 3,204,928 3,287,499

Forestry 745,684 771,590 808,231 849,445 871,448 901,161

Fishing 473,910 487,597 514,235 524,521 537,562 560,033

Industry and

Construction 7,271,804 7,566,057 8,287,309 9,144,464

10,174,15

6 11,265,872

B

Mining and

quarrying 1,141,798 1,217,823 1,264,845 1,383,349 1,508,923 1,682,719

C Manufacturing 2,554,119 2,659,200 2,831,400 3,024,323 3,222,077 3,472,647

D

Electricity

supply 284,394 293,804 332,080 363,110 384,271 416,904

E

Water supply;

sewerage, waste

management 260,050 267,407 274,507 284,755 285,003 297,151

F Construction 3,031,443 3,127,824 3,584,477 4,088,927 4,773,882 5,396,450

Services

16,341,27

8

17,520,83

5

18,767,58

5

20,119,05

1

21,511,35

8 2,313,496

G

Wholesale and

retail trade;

repairs 3,541,265 3,675,197 3,839,852 4,223,837 4,552,422 4,855,513

H

Transport and

storage 1,980,177 2,062,518 2,314,221 2,603,499 2,810,378 3,140,748

I

Accommodation

and Food

Services 543,173 579,598 595,724 609,111 622,966 646,197

J

Information and

communication 1,177,462 1,439,326 1,631,263 1,762,116 1,974,819 2,231,111

K Financial and 1,374,537 1,445,140 1,534,231 1,699,700 1,900,297 2,103,991

5

ECONOMIC

ACTIVITIES 2011 2012 2013 2014 2015 2016

insurance

activities

L Real estate 1,719,706 1,754,126 1,790,574 1,829,107 1,869,782 1,914,177

M

Professional,

scientific and

technical

activities 655,947 617,853 651,358 654,930 699,556 743,797

N

Administrative

and support

service activities 892,397 1,104,372 1,239,495 1,313,618 1,375,562 1,404,965

O

Public

administration

and defense 2,231,564 2,435,459 2,625,280 2,728,183 2,425,992 3,045,808

P Education 1,143,385 1,228,099 1,280,673 1,341,507 1,425,992 1,541,076

Q

Human health

and social work

activities 541,093 602,632 655,861 709,310 742,629 781,589

R

Arts,

entertainment

and recreation 116,005 128,764 136,162 143,933 152,891 166,415

S

Other service

activities 320,944 341,382 363,702 388,120 414,881 444,610

T

Activities of

households as

employers; 103,623 106,369 109,188 112,082 115,052 118,500

X FISIM -561,275 -568,183 -568,580 -623,558 -696,521 -810,063

All economic

activities

31,673,63

6

33,420,62

6

35,673,04

5

38,137,42

5

40,708,95

8 43,518,487

Taxes on

products 2,505,661 2,515,833 2,873,500 3,093,939 3,391,850 3,656,415

GDP at market

prices

34,179,29

7

35,936,45

9

38,546,54

6

41,231,36

4

44,100,80

9 4,7174,902

Source:NBS

Table 2.4: ANNUAL GROWTH RATES OF GDP BY ECONOMIC ACTIVITIES ECONOMIC ACTIVITY 2010 2011 2012 2013 2014 2015 2016

A Agriculture, forestry and fishing 2.7 3.5 3.2 3.2 3.4 2.3 2.1

Crops 3.7 4.8 4.2 3.5 4.0 2.2 1.4

Livestock 1.4 1.6 1.8 2.0 2.2 2.4 2.6

Forestry 3.4 3.3 3.5 4.7 5.1 2.6 3.4

Fishing 0.9 2.6 2.9 5.5 2.0 2.5 4.2

B Mining and quarrying 7.3 6.3 6.7 3.9 9.4 9.1 11.5

C Manufacturing 8.9 6.9 4.1 6.5 6.8 6.5 7.8

D Electricity supply 13.4 -4.3 3.3 13.0 9.3 5.8 8.5

E

Water supply; sewerage, waste

management 2.2 -1.2 2.8 2.7 3.7 0.1 4.3

F Construction 10.3 22.9 3.2 14.6 14.1 16.8 13.0

G Wholesale and retail trade; 10.0 11.3 3.8 4.5 10.0 7.8 6.7

6

ECONOMIC ACTIVITY 2010 2011 2012 2013 2014 2015 2016

repairs

H Transport and storage 10.7 4.4 4.2 12.2 12.5 7.9 11.8

I

Accommodation and Food

Services 3.7 4.1 6.7 2.8 2.2 2.3 3.7

J Information and communication 24.4 8.6 22.2 13.3 8.0 12.1 13.0

K Financial and insurance activities 12.6 14.8 5.1 6.2 10.8 11.8 10.7

L Real estate 1.8 1.9 2.0 2.1 2.2 2.2 2.4

M

Professional, scientific and

technical activities 29.9 4.8 -5.8 5.4 0.5 6.8 6.3

N

Administrative and support

service activities 8.6 5.1 23.8 12.2 6.0 4.7 2.1

O

Public administration and

defense -5.0 15.9 9.1 7.8 3.9 4.6 6.7

P Education 6.4 5.6 7.4 4.3 4.8 6.3 8.1

Q

Human health and social work

activities 3.3 5.3 11.4 8.8 8.1 4.7 5.2

R

Arts, entertainment and

recreation 7.3 7.7 11.0 5.7 5.7 6.2 8.8

S Other service activities 6.0 6.2 6.4 6.5 6.7 6.9 7.2

T

Activities of households as

employers; 2.7 2.7 2.7 2.7 2.7 2.7 3.0

X FISIM 7.9 22.6 1.2 0.1 9.7 11.7 16.3

All economic activities 6.6 7.6 5.5 6.7 6.9 6.7 6.9

Taxes on products 3.8 12.1 0.4 14.2 7.7 9.6 7.8

GDP at market prices 6.4 7.9 5.1 7.3 7.0 7.0 7.0

Source: NBS

Table 2.5 GROWTH DOMESTIC PRODUCT (MONETARY AND NON-MONETARY) –

ANNUAL GROWTH RATES ECONOMIC ACTIVITY 2010 2011 2012 2013 2014 2015 2016

A: Monetary

Gross Domestic Product at market price

A Agriculture, forestry and fishing 3.4 1.9 3.2 4.0 3.4 3.2 1.9

Crops 5.8 2.8 4.2 5.0 3.2 3.3 0.6

Livestock 1.2 0.1 1.8 2.2 3.6 3.9 2.8

Forestry 3.4 3.3 3.5 4.7 5.1 1.0 3.6

Fishing 0.9 2.7 2.9 5.5 2.0 2.6 4.2

B Mining and quarrying 7.3 6.3 6.7 3.9 9.4 9.1 11.5

C Manufacturing 8.9 6.9 4.1 6.5 6.8 6.5 7.8

D Electricity supply 13.4 -4.3 3.3 13.0 9.3 5.8 8.5

E

Water supply; sewerage, waste

management 3.6 -1.2 2.8 2.7 3.7 -1.3 4.8

F Construction 10.3 21.9 3.3 13.9 15.9 16.8 14.1

G

Wholesale and retail trade;

repairs 10.0 11.3 3.8 4.5 10.0 7.8 6.7

H Transport and storage 10.7 4.4 4.2 12.2 12.5 7.9 11.8

7

ECONOMIC ACTIVITY 2010 2011 2012 2013 2014 2015 2016

I

accommodation and Food

Services 3.7 4.1 6.7 2.8 2.2 2.3 3.7

J Information and communication 24.4 8.6 22.2 13.3 8.0 12.1 13.0

K Financial and insurance activities 12.6 14.8 5.1 6.2 10.8 11.8 10.7

L Real estate 1.9 2.0 2.1 2.2 2.2 2.3 2.4

M

Professional, scientific and

technical activities 29.9 4.8 -5.8 5.4 0.5 6.8 6.3

N

Administrative and support

service activities 8.6 5.1 23.8 12.2 6.0 4.7 2.1

O

Public administration and

defense -5.0 15.9 9.1 7.8 3.9 4.6 6.7

P Education 6.4 5.6 7.4 4.3 4.8 6.3 8.1

Q

Human health and social work

activities 3.3 5.3 11.4 8.8 8.1 4.7 5.2

R

Arts, entertainment and

recreation 7.3 7.7 11.0 5.7 5.7 6.2 8.8

S Other service activities 6.0 6.2 6.4 6.5 6.7 6.9 7.2

T

Activities of households as

employers; 2.7 2.7 2.7 2.7 2.7 2.7 3.0

X FISIM 7.9 22.6 1.2 0.1 9.7 11.7 16.3

All economic activities 7.2 7.5 5.8 7.1 7.3 7.2 7.3

Taxes on products 3.8 12.1 0.4 14.2 7.7 9.6 7.8

B: Non- Monetary

Gross Domestic Product at

market price 2.2 8.4 3.2 3.8 3.5 3.1 3.2

A Agriculture, forestry and fishing 1.4 6.4 3.4 1.7 3.4 0.7 2.4

Crops 0.7 7.8 4.2 1.3 5.2 0.8 2.4

Livestock 2.0 4.7 1.8 1.7 -0.5 -0.7 2.2

Forestry 3.4 3.3 3.5 4.7 5.1 5.6 3.0

Fishing 0.9 -0.6 2.9 4.9 2.0 -0.7 2.7

E

Water supply; sewerage, waste

management -1.1 -1.2 2.8 2.7 3.7 3.4 3.0

F Construction 10.4 28.3 2.8 18.4 4.9 16.4 7.1

L Real estate 0.1 0.2 0.3 0.4 0.5 1.5 1.7

GDP at market prices 6.4 7.9 5.1 7.3 7.0 7.0 7.0

8

CHAPTER THREE

3.0 ROAD TRANSPORT

Table 3.1: Road Network Length of Tanzania (km) as of December, 2016

S/No

Category Road Type Km Length

(%)

1

.

National

Roads

Trunk Roads Paved 7,753

Unpaved 5,033

Regional

Roads

Paved 1,398

Unpaved 20,816

TOTAL NATIONAL ROADS(A) 35,000

2

.

Local Roads District

Paved 131.21

Unpaved 27,697.86

Urban

Paved 818.32

Unpaved 5,245.21

Feeder Paved 38.10

Unpaved 18,732.92

TOTAL LOCAL ROADS(B) 52,663.62

Tanzania Total Roads Network(A+B) 87,663.62 100

Source: PORALG /TANROADS

Chart 3.1 Road Network Length of Tanzania (%)

9

Table 3.2: Trunk and Regional Road Network as of December, 2016

Category Paved (Km) Unpaved (Km) Total (Km) percentage paved(km)

out of Total National

Road

Trunk Roads 7,753 5,033 12,786 22

Regional Roads 1,398 20,816 22,214

4

Total 9,151

25,849

35,000 26

Source: TANROADS

Table 3.3: Condition of Trunk and Regional Roads as of December, 2016

TYPE

Condition Total KM

Good Fair Poor Total

km % km % km % km %

Trunk Paved 496 52 207 22 254 27 957 100

Regional Paved 4893 76 899 14 637 10 6429 100

Trunk Unpaved 5172 27 10956 57 3100 16 19228 100

Regional Unpaved 1264 40 1,476 47 415 13 3155 100

Total 11825 40 13538 45 4408 15 29769 100

Source: TANROADS

Table 3.4: Condition of Trunk and Regional Roads (2011 – 2016)

Source: TANROADS

Year Good Fair Poor Total

(km) (%) (km) (%) (km) (%) (km) (%)

2011 13,556.4 40 15,589.8 46 4,744.7 14 33,891 100

2012

11,536

37

14,780

48

4,778

15

31,193

100

2013

11,612 37 16,346 52 3,536 11 31 ,494 100

2014 11,219 35 17,199 54 3,513 11 31,930 100

2015 11,330 36 15,627 50 4,408 14 31,366 100

2016 12,388 41 13,642 45 4,235 14 30,265 100

10

Table 3.5: Condition of Local Government Roads as of December, 2016

Good Fair Poor Total

Road

Type (km) (%)

(km) (%) (km) (%)

(km) (%)

DISTRICT ROADS

Paved 201.96 1.41 29.30 0.19 16.00 0.108771 247.26 0.6

Unpaved 14160.81 98.59 15,521 99.81 14,693.76 99.89123 44,375.64 99.4

Sub

Total 14,362.77 100 15,550.37 99.99 14,709.76 100 44,622.90 100

URBAN ROADS

Paved 747.82 17.31 224.82 3.40 107.46 1,080.10 1,080.10 6.2

Unpaved 3,571.18 82.69 6,387.03 96.59 6,310.56 16,268.77 16,268.77 93.8

Sub

Total 4,319.00 100 6,611.85 100 6,418.02 17,348.87 17,348.87 100

FEEDER ROADS

Paved 76.49 0.78 29.25 0.15 16.45 0.0616

122.

19 0.2

Unpaved 9,792.59 99.22 19,025.79 99.84 26,687.95 99.9384 55,506.33 99.8

Sub

Total 9,869.08 100 19,055.04 100 26,704.40 100 55,628.52 100.0

Total

28,550.85

24.28

41217.26

35.05

47832.18

40.67352

117600.29

100

S

Table 3.6: Selected Bus Route Operations from Dar es Salaam

S/N

DESTINATION

SERVICE DAY TRAVEL TIME AVERAGE FARES

Dec

2014

Dec

2015

Dec

2016

Dec,

2014

Dec,

2015

Dec

2016

Dec,

2014

Dec,

2015

Dec

2016

1. Arusha 61 65 10 10 12

23,000 23,000

23,000

2. Bukoba (Via

Nairobi)

0 0 30 30 30

60,000 60,000 60,000

3. Bukoba (Via

Singida)

9 12 28 28 30

55,000 55,000

55,000

5. Dodoma 37 45 6 6 9

18,000 18,000 18,000

6. Iringa 17 21 7 7

9 18,000 18,000 18,000

11

S/N

DESTINATION

SERVICE DAY TRAVEL TIME AVERAGE FARES

Dec

2014

Dec

2015

Dec

2016

Dec,

2014

Dec,

2015

Dec

2016

Dec,

2014

Dec,

2015

Dec

2016

8. Kondoa 2 4 13 13 15

25,000 25,000 25,000

11. Lindi 8 10 12 7 7 9

17,000 17,000 17,000

13. Lushoto 13 20 22 11 11 12

15,000 15,000 15,000

14. Mbeya 18 20 22 12 12 13

30,000 30,000 30,000

17. Moshi 44 61 64 8 8 10

20,000 20,000 20,000

18. Mpwapwa

7

4 10

7

7 9

15,000 15,000 15,000

19.

Mtwara

15 6 16 9 9 11

22,000 22,000 22,000

20. Musoma 2 4 6 28 28 32

51,000 51,000 51,000

24. Njombe 9 7 11 11 11 12

26,300 26,300 26,300

25. Rombo - 8 8 10 10 11

20,000 20,000 20,000

26. Shinyanga 25 18 25 13 13 15

35,000 35,000 35,000

27. Singida 7 6 8 10 10 12

27,000 27,000 27,000

28. Songea 8 6 8 14 14 17

35,000 35,000 35,000

29. Sumbawanga - 2 3 34 34 36

55,000 55,000 55,000

30. Tanga - 46 48 6 6 8

13,000 13,000 13,000

31. Tabora 4 7 8 13 13 14

40,000 40,000 40,000

33. Masasi/Naching

wea

- 4 4 11 11 13

25,200 25,200 25,200

36. Handeni 8 13 14 8 8 10

10,800 10,800 10,800

37. Ifakara - 12 14 11 11 13

16,000 16,000 16,000

39. Geita 1 3 4 18 18 20

45,000 45,000 45,000

12

S/N

DESTINATION

SERVICE DAY TRAVEL TIME AVERAGE FARES

Dec

2014

Dec

2015

Dec

2016

Dec,

2014

Dec,

2015

Dec

2016

Dec,

2014

Dec,

2015

Dec

2016

40. Kigali

(Rwanda)

Twice

per

week

0 Twic

e per

week

28 28

85,000 85,000 85,000

41. Kigoma

4

6

28

28

28 60,000 60,000 60,000

Source: SUMATRA

Table 3.7 Average bus fares for selected routes from Dodoma (2015-2016)

S/

N DESTINATION

DISTANCE

(KM)

TRAVE

L TIME

(HRS)

2015

AVERAGE

FARES

(Tshs)

2015

SERVIC

E/DAY

2015

TRAVEL

TIME

(HRS)

2016

AVERAGE

FARES

(Tshs)

2016

1. Dar es Salaam 451 70 35 20,000 9 20,000

2. Singida 245 9 15 10,000 3 10,000

3. Arusha 425 2 7 22,000 8 22,000

4. Iringa Via Mtera 264 3 16 12,000 4 12,000

5. Iringa Via

Morogoro

559 0 Na Na N/A Na

6. Mbeya 594 7 4 25,000 11 25,000

7. Tabora Via Itigi 378 2 1 23,000 3 23,000

Source: SUMATRA

Table 3.8 Average bus fares for selected bus routes from Dar es Salaam to neighboring

Countries.

S/N Destination Country

Service/Day

2016

Travel Time

(Hrs) 2016

Average Fares

(Tshs) 2016

1. Bulawayo Zimbambwe Daily 34 155,000/=

2. Harare Zimbambwe Daily 32 130,000/=

3. Lusaka Zambia Daily 30 100,000/=

4. Kigali Rwanda Daily 22 75,000/=

5. Bujumbura Burundi Daily 23 75,000/=

6. Kampala

(via Bukoba)

Uganda Daily 24 95,000/=

7. Kampala

(via Nairobi)

Uganda Daily 22 N/a

8 Lilongwe Malawi Daily 30 75,000/=

13

S/N Destination Country Service/Day

2016

Travel Time

(Hrs) 2016

Average Fares

(Tshs) 2016 9. Lubumbashi Congo Daily 30 120,000/=

10. Nairobi Kenya Daily 12 60,000/=

11. Mombasa Kenya Daily 10 30,000/=

Table 3.9: Number of Road Transport Licenses Issued

S/N YEAR

PASSENGER

SERVICES

VEHICLE

LICENSES

GOODS

SERVICES

VEHICLE

LICENSES

TOTAL

1 2010 31,575 43,340 74,915

2 2011 33,020 49,057 82,077

3 2,012 33,187 62,056 95,243

4 2013 37,884 63,345 101,229

5 2014 44,018 70,823 114,841

6 2015 47,451 81,567 129,018

7 2016 46,619

87,274

133,893

Source: SUMATRA

Chart 3.2: Number of Road Transport Licenses Issued

14

Table 3.10: Number of Vehicles by Category for 2011- 2015

Vehicle Category 2011 2012 2013 2014 2015

1

Motorcycles less than 3

wheels)

446,775 552,834 684,948 832,149 1,026,709

2 Motor tricycles 11,621 18,906 32,366 53,874 63,478

3

Light passengers

vehicles (less than 12

persons)

298,168 333,069 385,654 451,664 507,607

4

Heavy passengers

vehicles (12 or more

passers)

38,593 40,579 44,028 50,301 54,748

5

Light load vehicles

(GVM 3500 or less

61,731 66,508 73,565 84,067 92,068

6

Heavy load vehicles

(GVM>3500 kg)

65,679 71,710 78,716 88,841 95,402

7 Trailer 17,345 20,701 24,549 30,555 35,765

8 Agricultural tractor 11,943 13,775 15,130 16,998 18,762

9 Agricultural trailer 230 368 857 883 922

10 Construction Equipment 4,607 5,407 6,162 7,067 7,891

11 Others 1,095 1,533 1,899 3,056 5,010

TOTAL

957,787 1,125,390

1,347,874

1,619,455 1,908,362

Note: This categorization excludes all GoT vehicles, Military, Police, Diplomats and Donor Funded

Projects vehicles which are registered by Ministry of Works.

Table 3.11: Road Traffic Accidents Tanzania Mainland

Source: Traffic Police(HQ), Dar es Salaam

S/N PARTICULAR 2011 2012 2013 2014 2015

2016

1. Total Number of

Traffic Accidents

23,986 23,578 23,842 14,360 8,337 9,856

2. Killed Persons 3,981 3,969 4,002 3,760 3,468

3,256

3. Injured Persons 20,802 20,111 20,689 14,530 9,383

8,958

15

Chart 3.3 : Road Traffic Accidents Tanzania Mainland

Table 3.12: Cause of Road Traffic Accidents Tanzania for Mainland

S/N PARTICULAR 2011 2012 2013 2014 2015 2016

1. Reckless Driving 5,744 5,197 5,081 5,053 2,868

2,583

2. Defective Motor Vehicles 2,055 2,223 1,623 990 502 755

3. Careless Pedestrians 825 980 979 987 470 609

4. Excessive Speed 2,158 4,951 5,118 950 691 730

5. Careless Motor Cyclists 3,765 2,144 2,039 3,163 2,009 1,808

6. Careless Pedal Cyclists 1,313 930 1313 689 410 447

7. Intoxication 171 112 91 95 66 97

8. Other i.e. Bad Road,

Slippery, etc

4,923 3,978 4,203 2,433 1321 2,829

TOTAL 23,986 23,578 23,842 14,360 8,337 9,856

Source: Trafic Police (HQ), Dar es Salaam

16

CHAPTER FOUR

4.0 RAILWAY INFRASTRUCTURE AND SERVICES

Table 4.1 Railway Passenger Traffic

Chart 4. 1 Railway Passenger Traffic

Year TRL Passengers

Traffic (‘000 Pax)

TAZARA

Passengers Traffic

(‘000 Pax)

Total Railway Passengers

(‘000 Pax)

2006 594 890 1,484

2007 585 1,090 1,675

2008 459 1,047 1,506

2009 543 997 1,540

2010 290 767 1,057

2011 519 787 1,306

2012 505 786 1,291

2013 492 703 1,195

2014 295 536 831

2015 388 455 843

2016 517 414 931

17

Table 4.2: Railway Freight Performance (2006 – 2016)

Year TRL

Freight (000 Tons)

TAZARA Freight

(000 Tons)

Total Railway Freight

(000 Tons)

2006 775 601 1,376

2007 545 539 1,084

2008 505 528 1,033

2009 453 383 836

2010 256 523 779

2011 267 534 801

2012 198 339 537

2013 154 218 372

2014 190 208 398

2015 585 88 673

2016 209 128 337

Source: TRL& TAZARA

Chart 4.2. Railway Freight Traffic

18

Table 4.3: Railways Freight (‘000 Ton Km)

Year TRL(000Ton Km) TAZARA(000 Ton Km) Total(000 Ton

Km)

2006 665,813 869,022 1,534,835

2007 477,273 469,212 946,485

2008 506,011 798,009 1,304,020

2009 505,967 487,620 993,587

2010 251,843 711,260 963,103

2011 264,899 812,990 1,077,889

2012 143,600 484,085 627,685

2013 145,738 258,000 403,738

2014 200,242 239,000 439,242

2015 231,865 102,135 334,000

2016 230,204 130,269 360,473 Source: TAZARA & TRL

Table 4.4: Railways Passenger (‘000 Passenger Km)

YEAR TRL(000 PAX

KM)

TAZARA(000 PAX KM) TOTAL(000 PAX KM)

2006 324,922 298,092 623,014

2007 315,507 349,712 665,219

2008 321,352 344,135 665,487

2009 374,121 285,782 659,903

2010 150,645 303,203 453,848

2011 328,508 300,219 628,727

2012 290,000 288,140 578,140

2013 333,458 84,000 417,458

2014 205,180 202,000 407,180

2015 296,816 129,473 426,289

2016 353,245 151,687 504,932

Source: TRL & TAZARA

Table 4.5: Railway Average Locomotive Availability (%) (Shunting & Mainline Locomotives)

Year TRL Average

Locomotive Availability

(%)

TAZARA Average

Locomotive

Availability (%)

Railway Average

Locomotive Availability

(%)

2010 62 54.4 58.2

2011 50 55 52.5

2012 38 47.4 42.7

2013 33 58.1 45.6

2014 44 60.3 52.15

2015 56 52 54

2016 47 58 105

Source: TRL & TAZARA

19

Table 4.6: Railways Domestic Freight

YEAR TAZARA FREIGHT

(000 TONS)

TRL FREIGHT

(000 TONS)

TOTAL FREIGHT

(000 TONS)

2006 150 535 816

2007 131 585 716

2008 84 245 329

2009 28 190 218

2010 89 161 250

2011 56 202 258

2012 55 151 206

2013 26 127 153

2014 29 185 214

2015 37 202 239

2016 38 208 246

Source: TRL& TAZARA

Table 4.7 Railways Accidents

S/N TYPE 2012 2013 2014 2015 2016

TRL TZR TRL TZR TRL TZR TRL TZR TRL TZR

1. Deaths

Incidences

7 22 11 23 20 10 11 3 13

2. Incidences

leading to

Injuries

6 9 18 28 56 3 12 21 27

3. Collisions 2 22 2 33 4 24 4 10 2

4. Derailment &

Capsizements

45 78 49 57 43 57 106 30 115

5 Washaways 14 0 21 0 28 26 8 2 29

20

CHAPTER FIVE

5.0 PORTS INFRASTRUCTURE AND SERVICES

Table 5.1: Ports operating along Coast and Lakes

S/N Port Type Ports name Location

1. Main ports along coast Dar es salaam Indian ocean

Tanga Indian ocean

Mtwara Indian ocean

2. Main ports along lakes Mwanza north and south Lake Victoria

Kigoma Lake Tanganyika

Nyasa Lake Nyasa

3

Small Ports along coast Mafia Indian ocean

Lindi Indian ocean

Kilwa Indian ocean

Pangani Indian ocean

Bagamoyo Indian ocean

4 Small Ports along lakes Kasanga Lake Tanganyika

Kibirizi Lake Tanganyika

Bukoba Lake Victoria

Kemondo bay Lake Victoria

Nansio Lake Victoria

Musoma Lake Victoria

Itungi Lake Nyasa

Manda Lake Nyasa

Mbamba bay Lake Nyasa

Liuli Lake Nyasa

Kyela Itungi Lake Nyasa

Source: TPA

Table 5.2: Dar es Salaam Port design Capacity Operations (2014-2016)

S/N DETAIL VALUE 2014 VALUE 2015 VALUE

2016

1. Total Number of Berths 11 11 11

2. Break Berths 7 7 7

3. Container Berths 4 4 4

4. Total Quay Length (metres) 2,018 2,018 2,018

5. Break Bulk Capacity (in millions)

3.1 tons

3.1 tons

3.1 tons

6. Bulk Liquid Capacity (million DWT) 6.0 Million tons 6.0 Million tons 6.0 Million

tons

7. Container Terminal (TEUS) 400,000 TEUS 400,000 TEUS 400,000

TEUS

8. Crude Oil Pumping Capacity

(ton/hour)

5,000 Tons per hour 5,000 Tons per

hour

5,000 Tons

per hour

21

S/N DETAIL VALUE 2014 VALUE 2015 VALUE

2016

9. Refined Products Pumping Capacity

(tons/hour)

750 Tons per hour 750 Tons per

hour

750 Tons per

hour

10. Grain Terminal Storage Capacity

(tons)

30,000 tonnes 30,000 tonnes 30,000

tonnes

Table 5.3: Principal Export/Imports Commodities Handled at Main Ports (DSM, Tanga

and Mtwara - Tons)

S/N TYPE 2011 2012 2013 2014 2015 2016

1. EXPORTS 2,132,893 2,220,725 2,145,392 2,465,046 2,582,108 2,488,376

2. IMPORTS 9,127,419 10,434,060 11,509,989 12,912,847 12,606,653 12,119,017

TOTAL 9,361,690 11,260,312 12,654,785 15,377,893 15,188,761 14,607,393

Source: TPA

Chart 5.1 Principal Export/Import commodities at DSM, Tanga and Mtwara

Table 5.4: Total Freight through Dar es Salaam Port (000’Tons)

S/N DESRIPTION 2011 2012 2013 2014 2015 2016

Imports 4,846 6,053 6,642 7,100 6,657 6,087

Exports 1,705 1,924 1,892 2,232 2,137 1,915

SUB TOTAL 6,551 7,977 8,534 9,332 8,794 8,002

2. BULK OIL

Imports 3,624 3,687 4,471 4,357 4,882 4,772

Exports 77 25 37 66 362 116

SUB TOTAL 3,701 3,712 4,508 4,423 5,244 4,888

22

Source: TPA

Chart 5.2 Total Freight through DSM Port

Table 5.5: Transit Traffic through Dar es Salaam Port (‘000 Tons)

TYPE 2011 2012 2013 2014 2015 2016

Import 2,788 3,224 3,800 3,806 4,436 3,903

Export 836 613 629 1,213 818 677

TOTAL 3,624 3,837 4,429 5,019 5,254 4,580

Source: TPA

3. OTHER BULK LIQUID

Imports - 234 267 306 362 401

Exports - 28 14 0 0 0

SUB TOTAL - 262 281 306 362 401

Transshipment 139 87 187 415 201 289

4. TOTAL

Imports 8,470 9,974 11,380 11,763 11,901 11,260

Exports 1782 1977 1,943 2,298 2,499 2,031

Transshipment 139 87 187 415 201 289

GRAND TOTAL 10,391 12,038 13,510 14,476 14,601 13, 581

23

Chart 5.3 Total Transshipment through DSM Port

Table 5.6: Traffic of Different Countries through Dar es Salaam Port (000’ Tons)

COUNTRY 2011 % 2012 % 2013 % 2014 % 1015 % 2016 %

TANZANA

Imports 5,494 65 6,529 67 7,399 66 7,805 68 7,328 64 7,356 65

Exports 991 52 886 59 846 57 978 38 1,385 55 1,271 62

ZAMBIA

Imports 1,251 17 1,488 15 1,550 14 1,549 13 1,705 15 1,584 14

Exports 296 26 287 19 287 19 1,073 41 199 8 155 8

D.R.CONGO

Imports 639 8 760 8 824 7 1,073 9 1,194 10 789 7

Exports 200 21 262 17 293 20 504 3 521 21 364 17

BURUNDI

Imports 338 4 290 3 336 3 298 3 349 3 301 3

Exports 18 1 18 1 14 1 16 1 14 5 19 1

RWANDA

Imports 343 4 528 5 652 6 609 5 820 7 840 8

Exports 13 1 32 2 28 2 21 1 20 8 22 1

MALAWI

Imports 113 1 95 1 130 1 77 1 116 1 129 1

Exports 0 0 12 1 7 1 -

-

385 15 0 1

UGANDA

Imports 66 1 61 1 245 2 86 1 157 135 165 2

Exports 0 0 1 0.1 1 0 2 0 1 0 1 0

24

TOTAL

Imports 8,244 100 9,754 100 11,136 100 11,497 100 11,669 100 11,164 100

Exports 1,518 100 1,500 100 1,476 100 2,594 100 2,525 100 2,038 100

GRAND T 9,762 100 11,960 100 11,960 100 14,091 100 14,194 100 13,202 100

Table 5.7: Capacity Details of Main Sea Ports (2016)

S/N DETAIL DAR ES SALAAM TANGA MTWARA

1. Deep Water Berths No. 11 N/A 2

2. Total Length (m) 2,018 N/A 395

3. Depth Dredged (m) 10 3-4.5 10

4. Bulk Oil Jetty (Tanker Berth) No. 1 N/A N/A

5. Single Buoy Mooring (SBM) No. 1 N/A N/A

6. Grain Silo (30,000 Tons) 1 N/A N/A

7. Lighterage& Dhow Wharves No. 4 2 N/A

8. Lighterage& Dhow Wharves

Length

588 381 N/A

9 Container Terminal (m2) 104,500 N/A N/A

10. Transit Depots

Ubungo (m2) 29,745 N/A N/A

Kurasini (m2) 40,385 N/A N/A

Source: TPA

Table 5.8: Cargo Handling Equipment and Marine Crafts

S/N FACILITIES DAR ES SALAAM TANGA MTWARA

G/Cargo TICTS

1. CARGO HANDLING EQUIPMENTS CRANES

Portal Cranes 8 0 4 0

Mobile Cranes 4 0 1 12

Tower Cranes 0 0 3 0

Ship to shore Gantry

Cranes

- 5 - 0

Rubber Tire gantry

Crane

- 19 - 0

Rail Mounted gantry

Cranes

- 1 - 0

Floating Cranes 1 0 - 0

2. OPERATIONAL

EQUIPMENTS

Tractors 22 49 23 4

Trailers 87 51 23 10

Forklifts 55 13 5 11

Front Loaders 3 3 1

Cranes Crawlers - - - N/A

Reach Stacker 13 7 - 2

Conveyors (loading,

chain & Bert)

14 N/A N/A

25

S/N FACILITIES DAR ES SALAAM TANGA MTWARA

G/Cargo TICTS

Empty Handler 7 8 1 3

Grabs 15 N/A N/A

Spreader - N/A N/A

Weighbridge 3 N/A 1

Bucker Elevators 3 N/A N/A

Grain Hoppers 7 N/A N/A

Begging scales 3 N/A N/A

Dust Cull Unit 3 N/A N/A

Bag Unit Mobile 7 N/A N/A

3. MARINE CRAFTS

Berthing tugs 4 N/A 1

Lighters towing Tugs 1 1 N/A

Lighters - 7 N/A

Pontoons - 8 N/A

Labor launches 0 1 N/A

Pilot Boats 2 1 2

Patrol Boats 3 - 2

Mooring Boats 1 1 N/A

Water barge 1 N/A N/A

SBM Tender 1 N/A N/A

Source: TPA

Table 5.9: Navigational Aids and Light (by December 2016)

STATION NAVIGATION

AID TYPE

TOTAL

IN NOs

RANGE

(NM)

SOURCE OF

LIGHTS

ABOVE

HIGH

WATER

(MTRS)

DSM

PORT

STEEL BUOYS

Red (p s)

Gree (s.s)

Beacons

Leading mark/ LM

Light House

(Makatumbe)

11

6

3

12

1

5.5-7

5.5-7

5.5-7

10-18

15-96

Solar

,,

Solar

,,

,,

-

-

-

-

29

MAFIA

CHANNEL

STEEL BUOYS

Light House

4

2

3

15.96

Gas

Gas

-

31

TANGA

PORT

STEEL BUOYS

Red (ps)

Green (s.s)

Beacons

Leading mark/LM

Light house

2

2

6

7

1

3

5.5-7

5.5-6.1

7 – 12.6

14.5

Gas

Solar

Gas & solar

,,

Gas

-

-

-

-

-

26

MTWARA

PORT

STEEL BUOYS

Red (ps)

Green (s.s)

GRP Red

1

3

1

5.5-7

5.5-6.1

4

Solar

Solar

Gas

-

-

-

-

26

STATION NAVIGATION

AID TYPE

TOTAL

IN NOs

RANGE

(NM)

SOURCE OF

LIGHTS

ABOVE

HIGH

WATER

(MTRS)

Leading mark/LM

Light House

4

1

7-12.6

18-14

Solar

Gas

16

-

LINDI

PORT

STEEL BUOYS

Red (ps)

Green (s.s)

Beacons

Leading mark/LM

Light House

-

1

2

-

2

1

3

3

-

-

-

-

Gas

Gas

-

Gas

Gas

-

-

-

-

-

10

KILWA STEEL BUOYS

Leading mark/LM

3

4

4

7-12.6

Gas

Gas

-

-

Source: TPA

Table 5.10: Principal Exports Commodities Handled at DSM Port (Tons)

S/

N

COMMODIT

Y

2010 2011 2012 2013 2014 2015 2016

1. BULK LIQUID

Bulk Oil (Incl

bunkers)

66,543

76,992

63,590 51,933 66,138 72,921 115,671

Molasses 0 0 0 0 0 0 0

Sub-Total

66,543 76,992 63,590 51,933 66,138 72,921 115,671

2. MINERALS

Copper

(Zambia)

0 0 0 0 6,240 23,514

Sub-Total 0 0 0 0 6,240 23514

3. GENERAL CARGO

Maize Meal

and flour

0 126,318 1,244 11,440 4,408

Wheat bran 4,626 0 0 3,441

Sorghum 0 0 0

Motor vehicle 1,591 180 144 33 607 877 2,196

Sugar 0 0 0 28,505 18,075

Other General

Cargo

3,942 3,659 14,852 30,976 21,498 240,789

Container

Terminal/

TICTS

1,309,375 1,054,037 1,094,493 1,788,531 2,070,536 2,007,70

3

1,817,15

6

Sub-Total 1,319,534 1,184,194 1,110,733 1,167,352 2,122,156 2,012,98

8

1,915,55

5

TOTAL

EXPORTS

1,386,077 1,261,186 1,174,323 1,909,659 2,211,808 2,085,90

9

2,175,81

2

Source: TPA

27

Table 5.11: Principal Export Commodities Handled at Tanga Port (Tons)

S/

N

COMMODIT

Y

2010 2011 2012 2013 2014 2015 2016

1. Beans 5,289 2,242 1,375 8,913 4,932 1,728 1,332

2. Coffee 11,087 5,844 5,246 5,730 7,596 3,204 4,502

3. Tea 0 0 0 0 0 0

6. Sisal Ropes

and twines

18,534 14,192 12,166 25,354 37,637 35,943 40,119

7. Cement in

Bags

34,462 34,331 32,603 8,877 4,552 0 0

8. Timber,

flooring bloc

38,053 23,643 12,582 16,827 18,905 30,357 20,683

Other General

Cargo

47,889 37,169 44,639 49,783 44,260 31,359 28,106

TOTAL

EXPORTS

155,314 117,421 108,611 115,484 117,882 102,591 94,742

Source: TPA

Table 5.12: Principal Export Commodities Handled at Mtwara Port (Tons)

S/N COMMODITY 2010 20101 2012 2013 2014 2015 2016

1. Beans and Soya N/A N/A N/A N/A N/A N/A N/A

2. Cashew nuts

Raw

93,170 90,432 95,844 107,110 104,907 114,055 182,504

3. Simsim N/A N/A N/A N/A N/A N/A N/A

4. Cashew nuts

Kernels

N/A N/A N/A N/A 340 N/A N/A

5. Rice N/A N/A N/A N/A N/A N/A N/A

6. Ophir project

cargo

14,988 N/A N/A N/A 18,783 N/A N/A

7. Other General

Cargo

632 13,521 10,996 13,139 11,326 24,985 35,321

TOTAL

EXPORTS

108,790 103,953 106,840 120,249 135,356 139,040 217,825

Source: TPA

Table 5.13: Principal Import Commodities Handled at DSM Port (Tons)

S/

N

COMMODI

TY

2010 2011 2012 2013 2014 2015 2016

1. DRY BULK CARGO

Wheat 652,351 666,489 982159 984,879 892,368 969,562 1,006,985

Clinkers - 172,518 289893 379,809 497,964 136,912 245,119

Maize - - 0 0

Copper Slags - 15,414 36736 116,669 188,804 43,063

Fertilizer 349,655 327,687 236900 428,518 347,964 246,293 272,842

Gypsum 49508 45,319 0 18,809

Sub-Total 1,002,006 1,182,108 1595196 1,955,194 1,927,100

1,414,630 1,524,946

28

S/

N

COMMODI

TY

2010 2011 2012 2013 2014 2015 2016

2. BAGGED CARGO

Cement 3,806 - 23176 - 125,062 5,997 3,022

Wheat and

Wheat flour

- - 5982 - 0

Fertilizer 15,049 6,927 22028 28,528 87,645 69,614 27,343

Sugar 8,200 - 0 0 0 0

Rice 68,872 37,118 7172 2,312 0 0

Maize and

Sorghum

7,911 43,380 2656 24,903 0 0

Beans 1521 1,129 0 5,997 0

Sub-Total 122,693 87,425 62535 56,872 212,707 75,611 30,415

3. BULK

LIQUIDS

Petroleum Oil 2,907,43

0

3,623,81

4

3919928 4,470,553 4,663,913 5,248,802 5,173,190

Crude soya

Oil

- - 0 0 114,963

Other Liquid - - 0 0 0

Sub-Total 2,907,430 3,623,814 3919928 4,470,553 4,778,876 5,248,802 5,173,190

4. GENERAL

CARGO

Motor

Vehicles

Tractors &

Trailers

135,319 217,881 248,953 253,243 557,048 237,198 632

Iron ,Steel,

Material

- 318,843 231,531 397,972 618,619 301,680 419,123

Motor

Vehicles

spares parts

- - 19,588 28,364 3,935 4,810 203,278

Machinery

and spares

19,332 57,231 8,112 6,277 20,255 6,505 146

Galvanised

Cast iron

182,214 0 0 0 0

Paper and

paper bags

- - 0 - 0

Pipes and

fitting

272 5,676 6,553 23,709 38,313 - 2,722

Silver

Platium Other

materials &

Alloys

1,310 - 0 9,735 - 0

Other

General

Cargo

234,612 116,588 21,801 191,190 98,019 525,145 410,028

Container

Terminal

2,552,721 2,207,198 2,379,912 3,646,925 4,238,158 3,928,383 3,646,654

Sub- Total 3,125,780 2,923,417 2,916,450 4,547,680 5,584,082, 5,003,721 4,506,335

TOTAL

IMPORTS

7,157,909 7,816,764 8,494,109 11,030,299 12,502,765 11,742,764 11,405,134

29

Table 5.14: Principal Import Commodities Handled at Tanga Port (Tons)

S/N COMMODITY 2010 2011 2012 2013 2014 2015 2016

1. BULK CARGO - - - - - -

Bulk oil 4,845 17,821 6149 11,108 6,149 78,092 215,502

Sub- Total 4,845 17,820 6149 11,108 6,149 78,092 215,502

2. GENERAL

CARGO

Clinker 14,050 165,702 35276 163,785 26,286 256,917 7,000

Wheat 36,419 - 19619 19,113 0 27,047 86,382

Cotton process - 0 0 - -

Raw Material 96,677 56639 28,395 - -

Sodium

Sulphate

- - 0 - - -

Raw

glythelenepolyf

o

38,486 76,548 0 31,279 38,0

47

57,594

Machinery and

Parts

5,243 1,603 0 1,243 1,440 1,512 4,740

Fertilizer in

Bags

- 216 0 - - - 36

Motor

veh,Tractors&

Trailers

3,612 697 0 1,434 1,147 708 504

Miscellaneous

Cargo

80,576 87,835 270,224 89,013 113,696 176,401 339,832

Sub- Total 216,805 352,514 381,758 332,828 186,765 520,179 438,494

TOTAL

IMPORTS

221,650 370,335 389,321 343,936 192,914 598,271 653,896

Source: TPA

Table 5.15: Principal Import Commodities Handled at Mtwara Port (Tons)

S/N COMMODITY 2010 2011 2012 2013 2014 2015 2016

1. BULK

CARGO

Bulk Oil 8,020 11,255 0 16,471 0 1,015 10,150

Sub-Total 8,020 11,255 0 16,471 0 1,015 10,150

2. GENERAL

CARGO

-

Maize and

Maize Meal

16 68 0 0 0 0 0

Rice - - 0 0 0 0 0

Sulphur - 3,9

55

0 0 0 0

Cement 7,526 5,509 21,250 31,400 27,811

Ophir project

cargo

1,699 - 0 0 79,920 0

Machinery parts - 7,6 0 2,335 55,247 35 10,587

30

S/N COMMODITY 2010 2011 2012 2013 2014 2015 2016

69

Wheat and

wheat flour

- - 0 26,921 0

Empty container 10,037 1,082 12690 13,035 14,183 15,485

Full containers 7601 8,630 0 27,399

Cement 16,254 7,526 5509 21,250 31,400 27,811

Other General

Cargo

5,396 27,743 20630 47,112 36,418 36,405 109,422

Sub-Total 53,402 48,043 46430 119,283 217,168 79,701 137,258

TOTAL

IMPORTS

61,422 59,298 46430 135,754 217,168 80,716 147,408

Source: TPA

Table 5.16: Shipping Traffic at Major Ports –Deep Sea Ships.

Source: TPA

S/N DESCRI

PTION

DARES SALAAM TANGA MTWARA

201

3

201

4

2015 201

6

2013 2014 2015 2016 2013 2014 2015 2016

1. DRY

CARGO

Number

of calls

820

878

856

837

79

68

70

55

59

49

30

45

Average

Stay in

Port

(Day/Shi

p)

4.6 4.1 4.2 4.3 2.3 2.3 3.1 3.0 2.2 2.2 2.2 2.4

2. TANKE

RS

Number

of calls

127 144 156 159 0 0 6 15 1 1 6 0

Average

Stay in

Port

(Day/Shi

p)

4.4 5.2 4.4 5.1 0 0 1.2 2.2 1.2 1.2 2.3 0

31

Table 5.17: Shipping Traffic at Major Ports - Coastal Ships

S/N DESCRIPTION DAR ES SALAAM TANGA MTWARA

2014 2015 2016 2014 2015 2016 2014 2015 2016

1. DRY CARGO

Number of calls

529 552 630 76 68 6 129 544 47

Average Stay in

Port (Day/Ship)

3.0 3.1 3.1 2.9 1.2 2.1 2.3 2.1 1.3

2. TANKERS

Number of calls 49 53 58 0 0 0 0 0 0

Average Stay in

Port (Day/Ship)

1.5 1.5 1,5 0 0 0 0 0 0

3. MISC. VESSELS 0 0 0 0 0 0

Passenger Boats

& Ferries

2,157 1,805 2,086 0

0 0

0 0 0

Dhow and

Schooner 527 376 686 0 0 0

0 0 0

Source: TPA

Table 5.18: Cargo Traffic at Major Ports (Tons)

S/N PORT/TRAFFIC 2011 2012 2013 2014 2015 2016

1 DAR ES SALAAM

IMPORTS 8,469,648 9,975,001 11,379,039 11,611,101 11,905,592 11,260,548

EXPORTS 1,781,889 1,987,430 1,949,260 2,148,245 2,210,026 2,031,226

TRANSHIPMENT 138,598

87,244

187,534 415,045 200,851 289,173

TOTAL 10,390,135 12,049,675 13,515,833 14,174,391 14,316,469 13,580,947

2 TANGA

IMPORTS 426,457 389,337 384,623 612,030 595,441 562,896

EXPORTS 190,745 115,073 166,723 138,043 139,522 82,402

TOTAL 617,202 504,410 551,346 750,073 734,963 645,298

3 MTWARA

IMPORTS 92,715 69722 147,851 207,948 105,620 150,986

EXPORTS 160,573 154249 128,772 149,680 136,940 220,162

TOTAL 253,288 223,971 276,623 357,628 242,560 371,148

SUBTOTAL

IMPORT 8,988,820 10,434,060 11,911,513 12,431,079 12,606,653 11,974,430

EXPORT 2,133,207 2,256,752 2,244,755 2,435,968 2,486,488 2,333,790

TRANSHIPMENT

138,598 87,244 187,534 415,045 200,851 289,173

GRAND TOTAL 11,399,223 12,865,300 14,531,336 15,697,137 15,494,843 14,886,566

Source: TPA

32

Table 5.19: Imports Clearance by Mode of Transport at DSM Port (DWT)

S/N ITEM 2011 2012 2013 2014 2015 2016

1. ROAD 3,245,898 3831551 3,178,291 4,938,091 5,932,883 6,326,921

2. TRL 21,570 7025 5,096 542 7,153 5,426

3. TAZARA 90,348 43868 55,042 10,836 10,667 11,656

4. TOTAL 3,357,816 3,882,444 3,238,429 4,948,927 5,950,703 6,344,003

Source: TPA

Table 5.1: Container Traffic Handled at DSM Port

Destination

Countries

2013 2014 2015 2016

BOXES TONAGE BOXES TONAGE BOXES TONAGE BOXES TONAGE

Tanzania 140,881 183,263 150,171 2,759,890 130,715 2,523,789 139,200 2,481,015

Zambia 19,755 31,460 22,843 405,958 33,339 357,845 17,581 313,166

D R Congo 20,711 31,020 28,775 534,574 34,152 425,318 14,336 253,701

Burundi 14,172 9,305 7,476 129,708 9,634 121,268 6,452 110,390

Rwanda 13,374 24,672 19,095 329,862 34,382 431,425 23,365 428,371

Malawi 2,678 3,797 1,830 32,359 2,094 21,991 1,834 32,231

Uganda 1,833 2,545 1,075 18,579 1,928 24,642 1,548 27,127

Others 269 357 886 17,986 1,199 17,914 609 10,053

P/P 0

T/shipment 10,494 12,849 3,754 9,292 10,990 177,259 17,845 289,246

Empties 740 994 3,754 9,292 1,106 4,191 2,164 6,400

Sub-total 224,907 300,262 235,905 4,238,158 206,334 3,928,383 207,087 3,640,554

EXPORTS

Tanzania 45,965 62,959 51,570 895,417 47,209 835,348 50,987 67,458

Zambia 17,231 17,255 14,252 258,374 10,920 199,468 8,304 155,005

D R Congo 17,313 16,839 25,820 479,620 28,529 521,030 18,164 363,701

Burundi 7,805 968 1,360 16,058 868 12,998 1,176 19374

Rwanda 1,383 1,956 1,329 20,203 1,176 19,850 1,318 22,352

Malawi 447 637 7 121 10 260 14 238

Uganda 49 79 73 1,482 67 703 49 796

Others 40 55 42 782 34 356 8 129

Empties 123,973 176,037 127,591 398,379 133,258 417,690 123,110 385,525

Sub-total 214,206 276,785 222,044 2,070,536 222,048 2,000,703 203,130 1,817,156

GRAND

TOTAL

439,113 577,047 457,949 6,308,694 439,368 6,113,345 410,217 5,746,956

33

CHAPTER SIX

6.0 INLAND WATER TRANSPORT SERVICES

Table 6.1: Vessels Operated by Marine Service Company Limited

S/N VESSELS PASSENGER

CAPACITY

CARGO

CAPACITY (TONS) YEAR BUILT

1. ON LAKE VICTORIA

MV Victoria 1,200 200 1960

MV Butiama 200 100 1980

MV Serengeti 593 350 1988

MV Clarias 293 30 1961

MV Nyangumi (Tanker) N/A 350 1958

MT Ukerewe (TUG) N/A 480 1980

ML Maindi N/A 120 1938

ML Wimbi N/A 120 1938

MVUmoja (rail wagons

carrier)

N/A 1200 1964

2. ON LAKE TANGANYIKA

MV Liemba 600 200 1913

MV Mwongozo 800 80 1980

MT Sangara (tanker) N/A 350 1981

Sea Worrior (for tourism) N/A 15 1990

3. ON LAKE NYASA

MV Iringa 139 5 1974

MV Songea 212 43.5 1974

Table 6.2: Number of Passengers Handled by MSCL at Main Lake Ports

PORT 2011 2012 2013 2014 2015 2016

Mwanza 115,649 82,561 123,033 148,200 31,000 27,342

Bukoba 69,462 57,606 64,129 62,021 30,442 21,154

Musoma - - - - -

Kigoma 12,708 40,402 38,543 25,963 7,132 7,032

Itungi Port 6,741 7,607 14,345 13,600 10,684 8,594

Kemondo Bay 6,625 7,332 7,137 8,900 -

Mbamba Bay 475 2,154 2,200 4,786 8,000 6,517

Nansio 34,119 21,198 30,600 78,157 120,437 94,514

TOTAL 245,779 218,860 279,987 341,627 207,695 165,153

Source: MSCL

34

Table 6.3: Freight Carried by MSCL through Bukoba Pier (Tons)

Freight 2011 2012 2013 2014 2015 2016

Beans 2,348 1,782 1,630 1,450 0 0

General

Goods

6,991 10,427 10,600 8,000 10,015 5,307

Empty

Bottles

889 168 211 500 0 0

Vehicles 110 108 102 0 0 0

Coffee 106 1,536 1,080 950 0 0

TOTAL 10,444 14,021 13,623 10,900 10,015 5,307

Source: MSCL

Table 6.4: Freight Carried by MSCL through Mwanza Pier (Tons)

Freight 2011 2012 2013 2014 2015 2016

Cement 68 110 120 100 0 0

Wheat Flour 2,091 111 849 200 0 0

Cooking Oil 1,114 1,230 1,300 1,500 0 0

Rice 2,948 207 502 700 0 0

Sugar 927 108 670 0 0 0

Salt - 105 108 0 0 0

General Goods 5,234 14,115 16,153 14,200 8,000 7,400

Soft Drinks 1,424 271 201 100 0 0

Beer - - 108 0 0 0

TOTAL 13,806 16,257 20,011 16,800 8,000 7,400

Source: MSCL

Table 6.5: Freight Carried by MSCL through Mwanza South Port (Tons)

Freight 2011 2012 2013 2014 2015 2016

Cement - - 2,050 0 0 0

Soft Drinks 480 3,250 2,010 0 0 0

General Goods 5130 56,797 41,947 42,608 14,255 11,345

Beer - - 2,080 0 0 0

TOTAL 5,610 60,047 48,087 42,608 14,255 11,345

Source: MSCL

Table 6.6: Freight Carried by MSCL through Kemondo Bay and Kigoma Ports (Tons)

Freight 2011 2012 2013 2014 2015 2016

Kemondo Bay

(Coffee)

- - 2,097 500 0 0

Kigoma (General

Goods)

3889 4,787 4,609 2,744 1,400 1,215

TOTAL 3889 4,787 6,706 3,244 1,400 1,215

Source: MSCL

35

Table 6.7: Average Stay in Port by MSCL Vessels (2011 to 2016)

S/N VESSEL AVERAGE

STAY (DYS)

2012

AVERAGE

STAY

(DYS) 2013

AVERAGE

STAY (DYS)

2014

AVERAGE

STAY (DYS)

2015

AVERAGE

STAY

(DYS) 2016

1. MWANZA PORT

MV Victoria 154 209 156 0 0

MV Serengeti 252 365 365 44 70

MV Butiama 365 - 0 0 0

2. BUKOBA PORT

MV Victoria 150 156 156 0 0

MV Serengeti 3 - 0 44 70

3. KIGOMA PORT

MV Mwongozo 356 0 0 0

MV Liemba 225 269 334 335 55

4. NANSIO PORT

MV Butiama - - 0 0 0

MV Iringa - 210 365 0 0

5. ITUNGI PORT

MV Songea 279 269 334 335 220

MV Iringa 334 - 0 0 0

Source: MSCL

Table 6.8: Number of Calls by Each MSCL Vessel at Main Ports

Source: MSCL

S/N Vessel 2010 2011 2012 2013 2014 2015 2016

1. MWANZA PORT

MV Victoria 152 156 151 156 156 0 0

MV Serengeti 10 - 33 21 0 19 8

MV Butiama 28 - 0 - 0 0 0

MV Clarias 340 267 204 342 337 315 270

2. MWANZA SOUTH PORT

MV Umoja 30 11 38 19 9 7 5

MV Serengeti 9 34 22 7 0 8

MT Nyangumi - - 0 - 0 0 0

MT Maindi - - 0 - 0 0 0

MT Ukerewe 2 - 6 - 0 0 0

3. BUKOBA PIER

MV Victoria 152 156 151 156 156 0 0

MV Serengeti 7 7 0 - 0 19 8

MV Umoja - - 0 - 0 0 0

MT Nyangumi - - 0 - 0 0 0

MT Maindi - - 0 - 0 0 0

MT Ukerewe 1 - 0 - 0 0 0

KIGOMA PORT

MV Liemba 30 23 26 26 26 7 7

MV wongozo - - 3 - 0 0 0

MT Sangara 10 7 5 3 2 3 1

5. ITUNGI PORT

MV Songea 19 29 13 37 26 34 30

MV Iringa 43 19 11 - 0 0 0

36

CHAPTER SEVEN

7.0 AIR TRANSPORT INFRASTRUCTURE AND SERVICES

7.1 Summary of TCAA Statistics

Table 7.1.1: Passenger Throughput at Airports

S/

N

AIRPORT INTERNATIONAL (000) DOMESTIC (000)

201

2

2013 2014 2015 2016 2012 2013 2014 2015 2016

1 Dar es

salaam

110

0

1,136 1192 1251 1301 868 1,077 1155 1141 1061

2 Kilimanjar

o

Internation

al Airport

330 368 362 333 364 236 317 306 318 267

3 Abeid

Aman

Karume

309 336 409 409 540 390 440 437 388 420

4 Arusha 0.1

3

0.079 0 0.008 0.042 149 177 166 130.7

82

155.3

52

5 Bukoba 0.0

26

0.021 0 0.07 0.064 30 26 28 31.78

9

33.04

0

6 Dodoma 0.0

38

0.2 0.1 0.056 0.177 7 11 14 13.01

1

11

7 Kigoma 0.4

4

0.03 0 1.632 1.083 22 26 24 24.4 26.13

7

8 Moshi - - 0 0.013 0.024 0.9 1 1 1.375 1

9 Mtwara 0.0

11

0.073 0 1.231 0.293 56 53 47 29.57

2

22

10 Mwanza 2 13 11 6.413 18 364 420 402 427.4

44

387

11 Shinyanga - - 0 0 0 4 0.02 0 0.445 0

12 Tabora 0.0

01

0.035 0 0.071 0.036 4 5 7 5.586 7

13 Other 18 7 1 2 2.411 165 211 311 135 317

Total

1,760 1,860 1,975 2,004

2,296

2,76

4 2,898 2708

Source: TCAA

37

Table 7.1.2: Incoming International Air Passengers at KIA

Month 2011 2012 2013 2014 2015 2016 TOTAL

Jan 14,656 16,141 18,352 18,461 16,350 17542 101502

Feb 18,462 17,801 22,070 21,169 17,737 18848 116087

Mar 10,397 11,873 14,612 12,486 12,358 12945 74671

Apr 9,243 8,733 9,240 10,088 8,372 9926 55602

May 9,968 10,431 11,346 12,393 11,491 11999 67628

Jun 15,361 15,147 18,043 18,635 16,818 17520 101524

Jul 21,926 22,583 24,576 26,106 23,025 27414 145630

Aug 19,748 21,358 22,980 24,427 21,151 24467 134131

Sep 17,763 19,755 20,456 19,068 18,509 20245 115696

Oct 18,736 19,273 20,517 19,280 16,873 22652 117331

Nov 12,341 12,750 15,568 12,990 13,726 14349 81724

Dec 14,914 17,221 17,247 16,179 16,703 16595 98859

TOTAL 183,515 193,066 215,007 211,282 193,113 214,502 1,210,485

Source: TCAA

Table 7.1.3: Pilots, Aircraft maintenance Engineers & Flight Operations Officer

Description 2011 2012 2013 2014 2015 2016

Private Pilot’s License (Initial) 40 47 46 56 64 76

Conversion of PPL 30 35 33 37 39 42

Conversion of CPL 280 350 338 399 448 504

Conversion of ATPL 40 58 70 115 148 164

Aircraft Maintenance Engineers 260 264 264 264 264 266

Cabin Crew 380 425 443 480 542 614

Source: TCAA

Table 7.1.4: Incoming International Air Passengers at Amani Abeid Karume International Airport

S/N 2011 2012 2013 2014 2015 2016 TOTAL

Jan 15,361 21,778 16,911 18,967 17,594 21764 112375

Feb 15,086 16,912 16,078 16,430 18,180 23137 105823

Mar 11,484 11,594 15,529 13,871 15,141 22271 89890

Apr 4,285 7,149 5,541 7,042 9,190 12800 46007

May 3,195 4,987 5,337 6,455 7,655 10170 37799

Jun 5,042 7,348 7,770 9,890 10,353 10288 50691

Jul 12,794 11,553 12,653 15,401 15,202 19907 87510

Aug 15,977 20,099 16,392 16,867 18,993 22183 110511

Sep 12,914 12,778 12,373 14,638 17,791 20640 91134

Oct 13,823 12,779 15,096 16,730 16,633 24936 99997

Nov 12,862 12,792 13,663 13,142 18,302 24018 94779

Dec 7,659 15,484 19,553 21,146 25,811 30733 120386

TOTAL 130,482 155,253 156,896 170,579 190,845 242,847 1,046,902

Source: TCAA

38

Table 7.1.5: Tanzania Licensed Commercial Air Services Operators

Description 2011 2012 2013 2014 2015 2016

Local Operators 67 70 74 80 53 30

Foreign Operators 1 1 NIL 1 2 7

TOTAL 68 71 74 81 55 37

Source: TCAA

Table 7.1.6: Scheduled Foreign Air Carriers Operating to Tanzania 2016

S/N CARRIER AIRCRAFT TYPE

WEEKLY

FREQUENCY

1 Emirates B773 7

2 Air Mozambique E190 / B737 3

3 Kenya Airways (KQ ) E190 36

4 South African Airlines (SA) A319 / A 320 14

5 Etihad Airways (EY ) A320 7

6 Swiss International Airline (LX ) A333 5

7 Royal Dutch Air (KL ) B 772 7

8 Ethiopian Airlines (ET ) B738 / DH8 16

9 Qatar Airways (QR ) A320 7

10 Ab Aviation (Y6) B 732 / E 120 6

11 Egypt Air (MS) B738 2

12 Rwanda AIR (WB ) DH8 / CRJ 13

13 Oman Air (WY ) B738 14

14 Turkish Air (TK ) B739 7

15 Air Mauritius (MK) A 319 1

16 Air Zimbabwe (UM) A 320 2

17 Malawian Airlines (3W ) DH8 3

18 Martine Air (Cargo) B74F 1

19 Fly Dubai (FZ ) B738 7

20 Air Sychelles A320 2

TOTAL 160

Source: TCAA

39

Table 7.1.7: Schedule of Airports in Tanzania 2015 - 2016

International Airports (Type 1) Strategic

Airports

(Type 2)

Major Domestic

Airports (Type 3)

Small Airports

(Type 4)

Julius Nyerere International Airport

(JNIA)

Arusha Mwanza Biharamulo

Kilimanjaro International Airport

(KIA)

Lake

Manyara

Mtwara Iringa

Aman Abeid Karume International

Airport

Mafia Dodoma Kasulu

Songwe Airport Iringa Kibondo

Kilwa

Masoko

Tabora Kilosa

Loliondo Mbeya Kirondotal

Pemba Songea Kongwa

Musoma Lindi Liuli

Tanga Shinyanga Mafinga

Kigoma Musoma Malya

Mpanda Bukoba Manda

Sumbawanga Manyoni

Lake Manyara Masasi

Maswa

Mbamba Bay

Mkwaja

Mombo

Morogoro

Moshi

Mafinga

Malya

Mpwapwa

Mufindi

Mvumi

Nachingwea

Nansio

Newala

Ngare Nairobi

Ngudu

Njombe

Inyonga

Oldeani

Same

Singida

Tunduru

Urambo

Uvinza

Utete

Source: TCAA

40

Table 7.1.8: Air Transport Accidents and Incidents

S/N PARTICULAR 2011 2012 2013 2014 2015

1. Number of Deaths 1 0 5 7 4

2. Number of Injuries 1 0 1 5 4

3. Number of Fatal Accidents 1 1 1 2 1

4. Number of Minor Accidents 12 1 1 8 2

5. Number of Incidents 12 12 1 11 10

Source: TCAA

Table 7.1.9: Aircraft Movements at Major Airports

S/N AIRPORT

2011

2012 2013 2014

2015 2016

1. JNIA 70,460 75,564 77,185 77,990 75,240 75749

2. ARUSHA 21306 22,716 23,868 23,904 20,810 21564

3. MWANZA 16,334 1,6656 14,273 13,467 13,404 13355

4. DODOMA 2461 3,669 4200 2,966 2,931 2682

5. KIGOMA 1705 1,617 1,759 1,765 1,725 1539

6. TABORA 2148 2,022 1,719 1,597 1,592 1733

7. SONGWE 1255 2,200 2,008 2,029 1,913 1951

8. IRINGA 904 1,946 2,185 1,521 1,484 1778

9. MTWARA 2555 4,359 3,963 3,009 1,494 1028

10. TANGA 2286 3,338 3,444 4,156 4,449 5486

11. ZIA 42,629 44,725 48,044 50,672 51,731 55904

12. KIA 20,967 20,407 21,790 19,942 19,758 20750

Total 185,010 199,219 204,438 203,018 196,531 203,519

Source: TCAA

41

7.2 Summary of TAA Statistics

Table 7.2.1: Capacities of Selected Airports

S/N Detail DSM International

Airport Mwanza Airport

1. Runway Size(Width Including Shoulders) 3000X60 m 3300X45 m

2. Passenger handled Year 2015 2,496,394 444,215

Passenger handled Year 2016 2,469,356 400,457

3. Cargo (tons) handled Year 2015 22,013

1,961

Cargo (tons) handled Year 2016 17,398

2,170

Source: TAA

Table 7.2.2: Domestic Air Traffic

SN AIRPORT

AC

MOVEMENTS PASSENGERS

FREIGHT

(TONS) MAIL (TONS)

1 JNIA 2015 2016 2015 2016 2015 2016 2015 2016

Scheduled 15,020 15,672 862,487 763,326 597 461 206 150

Non-Scheduled 40,521 39,976 278,918 296,010 67 70 0 0

Others 647 517 4,235 1,957 NIL NIL NIL NIL

Table 7.2.3: Incoming International Air Passengers at JNIA

S/N 2010 2011 2012 2013 2014 2015 2016

January 33,097 39,287 41,210 45,237 45,630 50,007 49,722

February 27,976 31,590 39,156 39,779 39,331 42,667 44,510

March 30,802 34,056 39,133 44,961 42,001 46,192 48,405

April 29,541 35,277 37,221 38,417 41,799 46,862 45,503

May 32,270 38,695 39,790 40,575 45,328 44,322 47,679

June 38,602 43,146 46,341 48,330 51,294 55,791 50,531

July 43,118 53,901 54,795 54,138 53,134 61,125 65,538

August 38,140 42,735 49,577 50,549 53,779 63,520 59,009

September 32,942 38,416 42,336 46,838 44,759 49,933 54,245

October 35,965 41,473 46,514 49,802 50,986 51,116 60,192

November 36,559 40,072 44,514 44,429 50,074 50,232 45,178

December 42,132 45,958 49,854 46,702 54,494 55,685 55,442

TOTAL 421,144 484,606 530,441 549,757 572,609 617,452 625,954

%Change -4.6 10.1 15.1 9.5 4.2 7.8

Source: TAA

42

Table 7.2.4: Main Airports Operation Statistics

AIRPORT OPERATI

ON 2010 2011 2012 2013 2014 2015 2016

JNIA Aircraft

Movements 62,620 70,460 75,564 77,185 77,990 75,240 75,749

Passengers

1,556,4

10

1,829,2

19

2,088,2

82

2,348,81

9

2,478,00

5

2,496,39

4

2,469,

356

Freight(To

ns) 18,746 22,971 24,370 20,951 20,352 21,356 16,788

Mail(Tons) 929 975 1,042 940 903 657 610

MWANZA Aircraft

Movements 14,118 16334 16,962 44,643 13,467 13,404 13,355

Passengers

227,47

9

319,74

9

392,29

8 439,128 415,674 444,215

400,45

7

Freight(To

ns) 2,323 1,950 1,769 1,905 1,900 1,826 2,050

Mail(Tons) 96 104 136 53 88 135 120

ARUSHA Aircraft

Movements 19,460 21,306 22,690 23,868 23,904 20,692 21,564

Passengers

154,17

4

112,43

3

162,26

8 187,911 179,511 142,224

164,41

9

Freight(To

ns) 803 41 192 213 148 141 63

Mail(Tons) 10 0 0 - 0 0 0

MTWARA Aircraft

Movements 1954 2,555 4,437 4,024 2,719 1,538 1,028

Passengers 27,582 41,127 56,620 53,062 45,988 33,330 22,681

Freight(To

ns) 80 102 196 186 90 16 8

Mail(Tons) 44 44 55 63 76 18 10

Source: TAA

43

CHAPTER EIGHT

8.0 METEOROLOGICAL INFORMATION

Table 8.1: Annual Rainfall in Tanzania

Note: M - Indicates missing value * Indicates incomplete data

Source: TMA Database, 2016

Table 8.2: Mean Annual Maximum Temperature (°C) in Tanzania

S/N Station 2011 2012 2013 2014 2015 2016

1 Bukoba 2224.1 2280.0 1863.3 2227.2 1755.1 1452.9

2 Mwanza 1131.8 1306.9 766.2 582.6 1536.6 1039.3

3 Musoma 1271.4 681.7 798.5 720.9 1037.8 627.2

4 Kigoma 1078.2 735.3 830.1 832.7 967.8 913.5

5 Mpanda 425.4* 332.9 719.4 1085.7 M 685.1

6 Sumbawanga 938.4 854.0 573.6 371.5 819.2 769.1

7 Tabora 901.3 810.0 999.9 826.5 959.6 911.6

8 Singida 588.6 546.5 859.1 778.2 628.3 689.4

9 Dodoma 643.1 639.9 394.5 489.7 473.7 545.2

10 Iringa 770.8 545.3 487.4 885.5 517.1 757.6

11 Loliondo M M 498.9 M 767.0 M

12 EngareRongai 1097.0 473.9 395.4 320.0 643.3 601.6

13 Same 438.9 411.8 532.2 498.2 519.3 626.7

14 Arusha 759.1 485.9 689.4 1188.5 669.7 603.5

15 KIA 492.0 429.7 492.6 501.7 485.3 492.5

16 Lushoto 617.7* 1039.0 203.2 1820.20 767.0 759.9

17 Tanga 1391.2 643.9 1072.7 1079.0 1619.6 1003.6

18 Ilonga 1567.2 554.4 939.8 963.8 929.2 1143.7

19 JNIA 1312.9 702.1 732.2 1278.9 1038.4 782.9

20 Mtwara 1223.0 646.3 1157.1 1023.9 1068.9 1454.8

21 Songea 1158.7 896.0 1004.4 1010.8 830.5 952.6

22 Tunduru 527.3* M 756.6 861.5 M 1180

23 Mahenge 1619.3 1256.2 2154.7 2467.8 1691.3 1999.0

24 Mbeya 1074.2 660.4 553.2 1220.3 692.7 M

S/No. Station 2011 2012 2013 2014 2015 2016

1 Bukoba 26.2 26.4 26.5 26.4 26.6 26.7

2 Mwanza 28.2 28.4 28.7 28.3 28.9 28.9

3 Musoma 28.2 28.7 28.9 28.2 28.7 M

4 Kigoma 29.1 29.5 29.2 28.1 29.1 29.9

5 Sumbawanga 25.2 25.3 25.2 25.2 25.3 25.6

6 Tabora 29.0 30.3 30.2 29.5 30.0 30.4

7 Singida 27.9 27.5 27.1 26.8 27.3 26.8

8 Dodoma 27.9 27.5 27.1 29.1 29.4 29.4

44

Source: TMA

Table 8.3: Mean Annual Minimum Temperature (°C) in Tanzania

S/N Station 2011 2012 2013 2014 2015 2016

1 Bukoba 18.1 17.8 18.1 18.4 18.2 18.9

2 Mwanza 17.9 18.0 17.7 18.6 18.2 18.5

3 Musoma 18.4 18.1 18.7 17.9 18.3 M

4 Kigoma 19.1 19.3 19.4 19.9 19.5 20.0

5 Sumbawanga 23.6 12.2 11.5 16.5 18.6 14.0

6 Tabora 17.6 17.8 17.6 16.9 17.3 15.8

7 Singida 16.4 16.0 16.0 16.1 16.1 16.1

8 Dodoma 17.5 17.7 17.8 17.9 17.7 17.6

9 Iringa 15.4 15.4 14.7 15.5 15.2 15.1

10 Same 18.8 19.0 18.6 18.7 18.8 18.6

11 Arusha 15.3 15.0 14.4 15.3 15.2 15.3

12 Kilimanjaro 18.4 18.0 17.6 17.1 17.7 18.6

13 Tanga 23.4 23.4 23.2 22.0 23.1 23.6

JNIA 22.3 22.4 22.3 22.5 22.5 23.2

14 Ilonga 20.4 20.6 22.3 21.2 20.4 19.5

16 Mtwara 21.3 20.7 20.9 21.2 21.3 20.6

17 Songea 16.2 15.4 14.2 15.7 14.4 15.4

18 Mahenge 17.5 16.8 17.3 17.0 17.1 17.7

19 Mbeya 11.4 11.7 10.9 14.1 14.0 M

Source: TMA

Table 8.4 Number of flights served with meteorology services

Years 2011 2012 2013 2014 2015 2016

Number of

flights served

15,710 18,133 21,658 24,683 38,761 40,082

9 Iringa 29.3 29.2 29.6 26.4 27.3 27.2

10 Same 27.5 27.7 27.4 29.6 30.7 29.8

11 Arusha 29.9 30.7 30.0 25.8 26.2 26.6

12 Tanga 31.5 31.1 30.3 29.7 30.1 31.4

13 Ilonga 30.4 31.1 30.9 30.5 31.1 30.2

14 JNIA 31.8 32.2 32.1 32.0 32.0 31.3

15 Mtwara 30.6 30.5 30.9 30.7 30.8 30.8

16 Songea 27.4 27.5 27.3 26.7 27.2 28.0

17 Mahenge 25.5 25.4 25.2 25.3 25.4 25.8

18 Mbeya 24.6 25.1 24.6 23.7 24.8 M

45

Table 8.5 Number of tailored customers served with meteorology services

Years 2011 2012 2013 2014 2015 2016

Number of tailored

customers served

390 435 342 524 133 268

Table 8.6 Number of boats and ships served at Dar es Salaam port office.

Number of forecasts issued to baoats and ships

Years

African

shipping

Co. LTD

Fast

Ferries

LTD

Mega

Speed

Liners

LTD.

Sea star

services

LTD

Azam

Marine

co.LTD

Sea

Transport

Shipping

Co. LTD

Total

forecast

2011 331 323 22 306 1,415 173 2,570

2012 243 259 30 169 1,412 138 2,251

2013 354 295 75 156 1,351 22 2,253

2014 2,880

2015 2,651

2016 2,586

Table 8.7: Describes the gap between meteorological network requirements and current Situation

in Tanzania

Description Number of stations

Current Operational Needed Shortage

Conventional Surface synoptic

stations

29 29 32 3

AWS Surface synoptic stations 48 46 113 65

Agro-meteorological stations 15 15 20 5

Ordinary climate stations 150 60 250 100

Rainfall stations 2056 500 500 -

Automatic Rainfall stations 0 0 2500 2500

Marine weather station 0 0 12 12

Upper air stations 1 1 4 3

Pilot Balloon 1 0 5 5

Weather Radar 2 2 7 5

Lightning 0 0 10 10

Orbiting satellite receiver 0 0 1 1

Buoy 0 0 10 10

Source: TMA

46

CHAPTER NINE

9.0 TRAINNING INSTITUTIONS

9.1 NATIONAL INSTITUTE OF TRANSPORT (NIT)

Table 9.1.1: Training Programs at the Institute for the Year 2016/ 2017

S/N Programme Name Exit point

1 Air Transport Management PGD

2 Transport and Tourism Management PGD

3 Shipping and Port Management PGD

4 Transport Economics PGD

5 Rail Transport Management PGD

6 Road Safety Management PGD

7 Transport Engineering PGD

8 Logistics and Transport Management 4,5,6,7,8,PGD,9

9 Automobile Engineering 4,5,6,7,8

10 Procurement and Logistics Management 4,5,6,7,8,PGD,9

11 Accounting and Transport Finance 4,5,6,7,8

12 Aircraft Maintenance Engineering 4,5,6,7,8

13 Business Administration 4,5,6,7,8,9

14 Mechanical Engineering 4,5,6,7,8

15 Freight, Clearing and Forwarding 4,5,6

16 Information Technology 4,5,6,7,8

17 Computer Science 7,8

18 Marketing and Public Relations 4,5,6,7,8

19 Human Resource Management 4,5,6,7,8

20 Education with Mathematics and Information

Technology

7,8

21 *Master of Business Administration in Logistics and

Transport Management

9

22 **International Course in Logistics and Transport Certificate, Diploma &

Advanced Diploma

23 Professional Driving Short Courses Short course

* Programme conducted in collaboration with Open University of Tanzania (OUT)

** Programme conducted in collaboration with Chartered Institute of Logistics and Transport

(CILT) - UK

47

Table 9.1.2. Students of the Master of Business Administration in Logistics and Transport

Management

YEAR SEX TOTAL

Male Female

2011/2012 24 2 26

2012/2013 12 1 13

2013/2014 10 0 10

2014/2015 20 1 21

2015/2016 17 4 21

2016/2017 3 4 7

Source: NIT-Registrar's Office, 2016

Table 9.1.3. Students of the Master of Science in Logistics and Transport Management

YEAR SEX TOTAL

Male Female

2016/2017 10 0 10

SUB TOTAL 10 0 10

GRAND TOTAL 10

Table 9.1.4: Postgraduate Diploma in Logistics and Procurement Management

YEAR SEX TOTAL

Male Female

2012/2013 11 5 16

2013/2014 14 4 18

2014/2015 6 5 11

2015/2016 8 1 9

2016/2017 1 1 2

Source: NIT-Registrar's Office, 2016

48

Table 9.1.5: Postgraduate Diploma in Logistics Transport Management

YEAR SEX TOTAL

Male Female

2012/2013 6 3 9

2013/2014 13 1 14

2014/2015 12 1 13

2015/2016 9 3 12

2016/2017 4 0 4

Source: NIT-Registrar's Office, 2016

Table 9.1.6: Postgraduate Diploma in Air Transport Management

YEAR SEX TOTAL

Male Female

2012/2013 27 8 35

2013/2014 11 7 18

2014/2015 8 3 11

2015/2016 8 5 13

2016/2017 4 2 6

Source: NIT-Registrar's Office, 2016

Table 9.1.7: Postgraduate Diploma in Shipping and Port Management

YEAR SEX TOTAL

Male Female

2012/2013 19 9 28

2013/2014 32 11 42

2014/2015 20 5 25

2015/2016 29 5 34

2016/2017 6 5 11

Source: NIT-Registrar's Office, 2016

49

Table 9.1.8: Postgraduate Diploma in Transport and Tourism Management

YEAR SEX TOTAL

Male Female

2012/2013 2 0 2

2013/2014 1 0 1

2014/2015 0 0 0

2015/2016 0 0 0

2016/2017 0 0 0

Source: NIT-Registrar's Office, 2016

Table 9.1.9: Postgraduate Diploma in Road Safety Management

YEAR SEX SUB TOTAL

Male Female

2013/2014 4 0 4

2014/2015 0 0 0

2015/2016 5 0 5

2016/2017 0 0 0

Source: NIT-Registrar's Office, 2016

Table 9.1.10: Postgraduate Diploma in Transportation Engineering

YEAR SEX TOTAL

Male Female

2013/2014 4 1 5

2014/2015 5 1 6

2015/2016 3 0 3

2016/2017 0 0 0

Source: NIT-Registrar’s Office, 2016

Table 9.1.11: Students of the Bachelor Degree in Logistics and Transport Management (BLTM)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2008/2009 18 5 0 0 0 0 18 5 23

2009/2010 19 1 16 5 0 0 35 6 41

2010/2011 7 2 15 1 13 5 35 8 43

2011/2012 37 6 7 2 13 2 57 10 67

2012/2013 36 6 27 5 7 1 70 12 82

2013/2014 120 29 33 6 28 5 181 40 221

50

2014/2015 214 65 120 29 37 9 371 103 474

2015/2016 270 110 212 64 110 29 592 203 795

2016/2017 412 151 187 79 170 62 769 292 1,061

Source: NIT-Registrar's Office, 201

Table 9.1.12: Students of the Bachelor Degree in Freight clearing and Forwarding (BFCF)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2008/2009 12 2 0 0 0 0 12 2 14

2009/2010 8 1 12 1 0 0 20 2 22

2010/2011 1 2 5 1 10 1 16 4 20

2011/2012 0 0 1 2 7 1 8 3 11

2012/2013 0 0 0 0 1 1 1 1 2

2013/2014 - - - - 1 - 1 0 1

2014/2015 - - - - - - - - -

2015/2016 - - - - - - - - -

2016/2017 - - - - - - - - -

Source: NIT-Registrar's Office, 2016

Table 9.1.13: Students of the Bachelor Degree in Automobile Engineering (BAE)

YEAR FIRST YEAR SECOND

YEAR

THIRD

YEAR

FOURTH

YEAR

SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female Male Female

2008/2009 15 0 0 0 0 0 15 0 15

2009/2010 7 0 14 0 0 0 21 0 21

2010/2011 6 1 6 0 12 0 24 1 25

2011/2012 11 0 5 1 5 0 21 1 22

2012/2013 24 2 11 0 5 1 40 3 43

2013/2014 61 5 8 - 3 - 72 5 77

2014/2015 36 2 29 0 27 2 8 0 100 4 104

2015/2016 83 1 92 3 45 4 27 2 247 9 257

2016/2017 78 15 58 1 44 1 40 5 220 22 242

Source: NIT-Registrar's Office, 2016

Table 9.1.14: Students of the Bachelor Degree in Mechanical Engineering (BME)

YEAR FIRST

YEAR

SECOND

YEAR

THIRD

YEAR

FOURTH

YEAR

SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female Male Female

2014/2015 122 0 32 1 0 0 0 0 154 1 155

2015/2016 129 10 175 11 39 0 14 0 357 21 78

2016/2017 179 14 78 8 199 13 33 0 489 35 524

Source: NIT-Registrar's Office, 2016

51

Table 9.2.15: Students of the Bachelor Degree in Aircraft Maintenance Engineering (BAME)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2015/2016 14 3 20 0 - - 34 3 37

2016/2017 17 6 10 4 18 0 45 10 55

Source: NIT-Registrar's Office, 2016

Table 9.1.16: Students of the Bachelor Degree in Business Administration (BBA)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2013/2014 61 5 0 - 0 - 61 5 66

2014/2015 35 20 31 11 0 0 86 31 117

2015/2016 79 34 33 18 27 9 139 61 200

2016/2017 36 38 42 31 29 14 107 83 190

Source: NIT-Registrar's Office, 2016

Table 9.2.17: Students of the Bachelor Degree in Procurement and Logistics Management

(BPLM)

YEAR FIRST YEAR SECOND

YEAR

THIRD YEAR SUB TOTAL GRAND

TOTAL

Males Females Males Females Males Females Male Female

2012/2013 12 7 0 0 0 0 12 7 19

2013/2014 82 19 13 3 0 0 95 22 117

2014/2015 102 58 82 19 12 8 196 85 281

2015/2016 160 90 102 58 78 19 340 167 507

2016/2017 269 161 167 90 79 45 515 296 811

Source: NIT-Registrar's Office 2016

Table 9.1.18 Students of the Bachelor Degree in Human Resource Management (BHRM)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2013/2014 25 14 0 0 0 0 25 14 39

2014/2015 48 28 25 14 0 0 73 42 115

2015/2016 74 33 46 26 21 14 141 73 214

2016/2017 104 93 49 17 27 19 180 129 309

Source: NIT-Registrar's Office, 2016

52

Table 9.2.19 Students of the Bachelor Degree in Marketing and Public Relations (BMPR)

YEAR FIRST YEAR SECOND

YEAR

THIRD YEAR SUB TOTAL GRAND TOTAL

Male Female Male Female Male Female Male Female

2015/2016 25 15 0 0 0 0 25 15 40

2016/2017 62 62 15 8 0 0 77 70 147

Source: NIT-Registrar's Office, 2016

Table 9.1.20 Students of the Bachelor Degree in Accounting and Transport Finance (BATF)

YEAR FIRST YEAR SECOND

YEAR

THIRD YEAR SUB TOTAL GRAND TOTAL

Male Female Male Female Male Female Male Female

2015/2016 106 36 0 0 0 0 106 36 142

2016/2017 89 58 61 24 8 2 158 84 242

Source: NIT-Registrar's Office, 2016

Table 9.1.21: Students of the Bachelor Degree of Education with Mathematics and

Information Technology (BEMIT)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2015/2016 100 15 0 0 0 0 100 15 115

2016/2017 68 24 71 6 0 0 139 30 169

Source: NIT-Registrar's Office, 2016

Table 9.1.22: Students of the Bachelor Degree in Information Technology (BIT)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2013/2014 34 2 - - - - 34 2 36

2014/2015 42 7 34 2 0 0 76 4 80

2015/2016 127 20 42 7 24 2 193 29 222

2016/2017 198 42 73 10 27 4 298 56 354

Source: NIT-Registrar's Office, 2016

Table 9.1.23: Students of the Bachelor Degree in Computer Science (BCS)

YEAR FIRST YEAR SECOND YEAR THIRD YEAR SUB TOTAL GRAND

TOTAL

Male Female Male Female Male Female Male Female

2015/2016 42 7 0 0 0 0 42 7 49

2016/2017 33 12 31 4 0 0 64 16 80

Source: NIT-Registrar's Office, 2016

53

Table 9.1.24: Students of Diploma in Automobile Engineering (DAE)

YEAR

FIRST YEAR

(NTA LEVEL

4)

SECOND YEAR

(NTA LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Males Females Males Females Males Females Males Females

2003/2004 36 - 34 - 13 2 83 2 85

2004/2005 29 1 33 - 34 - 96 1 97

2005/2006 24 0 24 1 33 0 81 1 82

2006/2007 20 0 17 1 24 0 61 1 62

2007/2008 8 0 20 0 17 1 45 1 46

2008/2009 22 0 8 0 20 0 50 0 50

2009/2010 15 0 20 0 7 0 42 0 42

2010/2011 31 2 16 0 17 0 64 2 66

2011/2012 51 2 30 2 13 0 94 4 98

2012/2013 23 0 63 3 30 0 86 33 119

2013/2014 29 2 30 1 60 3 119 6 125

2014/2015 25 0 29 2 27 0 81 2 83

2015/2016 24 0 25 0 27 2 76 2 78

2016/2017 5 1 53 3 20 0 78 4 82

Source: NIT-Registrar's Office, 2016

Table 9.1.25: Students of the Diploma in Mechanical Engineering (DME)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND

YEAR

(NTA LEVEL

5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Males Females Males Females Males Females Male Femal

e

2012/2013 75 2 0 0 0 0 75 2 79

2013/2014 70 0 81 3 - - 151 3 154

2014/2015 23 1 70 4 73 3 166 8 174

2015/2016 35 0 27 1 62 1 124 2 126

2016/2017 15 2 107 7 25 0 147 9 156

Source: NIT-Registrar's Office 2016

Table 9.1.26: Students of the Diploma in Logistics and Transport Management (DLTM)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND YEAR

(NTA LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Males Females Males Females Males Females Males Females 2006/2007 32 8 Not

Started

Not

Started

Not

Started

Not

Started

32 8 40

2007/2008 31 8 30 8 Not

Started

Not

Started

61 16 77

54

2008/2009 20 0 59 17 30 8 109 25 134 2009/2010 38 14 26 7 50 15 114 36 150 2010/2011 78 37 39 14 33 10 150 61 211 2011/2012 112 43 85 40 39 14 236 95 331 2012/2013 153 48 131 49 70 38 354 135 489 2013/2014 235 86 165 58 132 51 532 195 727 2014/2015 225 25 205 80 152 61 582 166 748 2015/2016 192 60 258 86 200 78 650 224 874

2016/2017 83 43 213 91 159 75 460 209 669

Source: NIT-Registrar's Office, 2016

Table 9.1.27: Students of the Diploma in Information Technology (DIT)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND YEAR

(NTA LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Males Females Males Females Males Females Male Female

2007/2008 16 7 - - 0 0 16 7 23 2008/2009 60 11 15 6 15 6 75 17 92 2009/2010 37 4 52 12 55 9 92 13 105 2010/2011 22 2 21 3 21 3 47 7 54 2011/2012 29 2 21 2 22 2 51 3 54 2012/2013 24 1 21 3 22 3 87 7 94 2013/2014 41 1 41 7 20 3 101 11 112 2014/2015 21 1 45 3 32 6 98 10 108 2015/2016 10 2 30 1 65 5 105 8 113 2016/2017 50 14 32 9 24 8 106 31 137

Source: NIT-Registrar's Office, 2016

Table 9.1.28: Students of the Diploma in Freight Clearing and Freight Forwarding (DFCF)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND

YEAR (NTA

LEVEL5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Males Females Males Female Male Female Males Females 2000/2001 7 0 NS 0 NS NS 7 0 7 2001/2002 5 0 NS 0 3 0 8 0 8 2002/2003 7 0 5 0 7 0 19 0 19 2003/2004 10 2 7 0 5 0 22 2 24 2004/2005 32 8 10 2 10 42 10 32 2005/2006 26 13 28 6 10 2 64 21 85 2006/2007 23 6 19 11 32 8 74 25 99 2007/2008 26 8 21 6 14 7 61 21 82 2008/2009 25 8 39 9 20 6 84 23 107 2009/2010 43 22 35 12 29 11 107 45 152 2010/2011 35 19 37 13 30 11 102 43 145 2011/2012 52 22 34 19 35 12 121 53 174 2012/2013 71 24 40 20 33 19 144 63 207

55

2013/2014 64 28 65 16 41 19 170 63 233 2014/2015 49 31 64 28 31 13 144 72 216 2015/2016 41 26 56 35 45 28 142 89 231 2016/2017 18 11 24 10 16 21 58 42 100

Source: NIT-Registrar's Office, 2016

Table 9.1.29 Students of the Diploma in Procurement and Logistics Management (DPLM)

YEAR

FIRST YEAR

(NTA LEVEL

4)

SECOND

YEAR (NTA

LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Male

s

Females

Males Females Males Females Males Females

2011/2012 31 39 0 0 0 0 31 39 70

2012/2013 103 82 31 39 0 0 134 121 255

2013/2014 143 104 134 82 36 36 313 222 535

2014/2015 103 83 143 104 102 74 348 261 609

2015/2016 43 46 119 117 127 89 289 252 541

2016/2017 15 15 51 39 71 73 137 127 264

Source: NIT-Registrar's Office, 2016

Table 9.1.30: Students of the Diploma in Business Administration (DBA)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND

YEAR

(NTA

LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB

TOTAL

GRAND

TOTAL

Males Females Males Females Males Females Males Females

2012/2013 11 24 - - - - 11 24 35

2013/2014 21 21 11 24 2 8 34 53 87

2014/2015 15 11 21 21 20 12 56 44 100

2015/2016 12 8 17 15 33 10 62 43 105

2016/2017 7 3 12 10 10 8 29 21 50

Source: NIT-Registrar's Office 2015.

56

Table 9.1.31: Students of the Diploma in Human Resource Management (DHRM)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND

YEAR

(NTA LEVEL 5)

THIRD

YEAR

(NTA LEVEL 6)

SUB

TOTAL

GRAND

TOTAL

Males Females Males Females Males Females Males Female

s

2012/2013 17 10 0 0 0 0 17 10 27

2013/2014 12 16 9 5 0 0 21 21 42

2014/2015 4 1 21 21 6 5 31 27 58

2015/2016 7 8 5 2 8 13 20 23 43

2016/2017 6 6 10 6 0 0 16 12 28

Source: NIT-Registrar's Office, 2016

Table 9.1.32: Students of the Diploma in Accounting and Transport Finance (DATF)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND YEAR

(NTA LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB TOTAL GRAND

TOTAL

Males Females Males Females Males Females Male Female

2014/2015 15 13 26 9 7 6 48 28 76

2015/2016 16 17 27 18 7 6 50 41 91

2016/2017 16 6 26 14 13 11 55 31 86

Source: NIT-Registrar's Office, 2016

Table 9.1.33: Students of the Diploma in Marketing and Public Relations (DMPR)

YEAR

FIRST YEAR

(NTA LEVEL 4)

SECOND YEAR

(NTA LEVEL 5)

THIRD YEAR

(NTA LEVEL 6)

SUB

TOTAL

GRAND

TOTAL

Males

Females

Males Females Males Females Males Females

2014/2015 1 3 5 1 0 0 6 4 10

2015/2016 4 2 5 5 1 5 10 12 22

2016/2017 7 5 2 1 3 2 12 8 20

Source: NIT-Registrar's Office, 2016

57

Table 9.1.34: International Introductory Certificate in Logistics and Transport

YEAR SEX SUB TOTAL

Male Female

2011/2012 11 4 15

2012/2013 17 10 27

2013/2014 9 1 10

2014/2015 1 1 2

2015/2016 19 14 33

2016/2017 3 2 5

Source: NIT-Registrar's Office, 2016

Table 9.1.35: International Certificate in Logistics and Transport

YEAR SEX SUB TOTAL

Male Female

2011/2012 11 4 15

2012/2013 17 10 27

2013/2014 12 3 15

2014/2015 1 1 2

2015/2016 23 8 31

2016/2017 12 2 14

Source: NIT-Registrar's Office, 2016

Table 9.1.36: International Diploma in Logistics and Transport

YEAR SEX SUB TOTAL

Male Female

2010/2011 14 1 15

2011/2012 12 3 15

2012/2013 14 18 32

2013/2014 11 4 15

2014/2015 38 11 49

2015/2016 81 9 90

2016/2017 35 9 44

Source: NIT-Registrar's Office, 2016

58

Table 9.1.37: International Advanced Diploma in Logistics and Transport

YEAR SEX SUB TOTAL

Male Female

2011/2012 15 4 19

2012/2013 35 12 47

2013/2014 13 2 15

2014/2015 11 3 14

2015/2016 31 11 42

2016/2017 62 6 68

Source: NIT-Registrar's Office, 2016

Table 9.1.38: Students of Short Course and Advanced Driving Courses

S/

N

Courses

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

1 Advanced

Driving

Grade I

112 151 90 104 118 152 113 124 168 118 145 1,2

27

192

2 Advanced

Driving

Grade II

Industrial

562 685 442 455 592 532 654 454 197 156 229 59 42

3 Advanced

Driving

Grade II

VIP

155 224 120 267 432 581 1,0

64

790 794 549 1,0

55

1,2

27

1,21

6

4 PSV

Drivers

Course

132 80 70 170 118 335 2,4

22

4,6

06

3,0

13

1,9

91

2,4

04

2,3

87

3,27

1

5 HGV

Drivers

course

75 72 32 0 0 0 0 0 0 33 26 27 34

6 Special

Defensive

Driving

course

207 0 0 439 0 221 253 209 136 124 87 96 235

7 Senior

Driving

Course

0 0 5 10 14 20 5 6 20 12 34 18 26

8 Motor cycle - 0 0 0 0 0 0 0 703 225 359 0

9 Driver

Instructors

13 3 2 0 12 2 0 0 12 8 3 0 14

10 Folk Lift 0 0 8 0 0 0 0 0 0 50 5 20 185

59

S/

N

Courses

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Operators

11 Vehicle

Inspection

and

Appraisal

0 0 5 0 19 14 31 0 0 - 0 0

12 Vehicle

Inspection

Drivers &

Examiner

0 12 92 12 0 0 31 12 26 13 64 38 49

13 Diesel&

Engine

Service

Maintenanc

e

7 3 0 32 0 36 0 0 26 0 - 0 0

14 Transport

Information

System

Course for

PMOLARG

Officers

336 0 0 0 0 21 18 14 0 0 - 0 0

15 Auto

electrical

and

electronics

0 0 0 5 0 0 0 0 13 0 - 0 0

16 PSV Agents

and

Ticketing

Clack

Customer

care

0 0 0 0 0 0 0 0 202 0 - 0 0

17 Vehicle

Fleet

Managemen

t

0 0 0 0 0 0 0 0 12 5 - 0 0

18 Transport

Officers

0 0 0 0 0 0 0 0 0 8 15 0 0

GRAND TOTAL 1,32

9

1,59

9

866 1,4

94

1,2

86

1,9

19

4,5

74

6,2

46

5,3

12

3,2

92

4,4

26

5,0

99

5,26

4

Source: NIT-Registrar's Office, 2016

60

Table 9.1.39: Academic Staff by Qualifications and Gender

2014/2015 2015/2016 2016/2017

S/NO. Qualification Male Female Male Female Male Female

1. PhD 5 2 2 1 11 2

2. Masters 29 7 18 3 51 30

3 Postgraduate

Diploma

3 0 0 0 0 0

4. First Degree 10 1 13 8 38 11

5. Advanced

Diploma 4

0 0 0 0 0

6. Diploma 5 0 0 0 4 0

Sub Total 56 10 33 12 104 43

Grand Total 66 45 147

Source: NIT-Registrar's Office, 2016

9.2 : DAR ES SALAAM MARITIME INSTITUTE (DMI)

Table 9.2.1: Course Programs at DMI (2016)

S/N COURSE TITLE

1. Bachelor Degree in maritime transportation

2 Bachelor Degree in Marine Engineering and Technology

3 Ordinary Diploma in Maritime Transportation(NTA level 6)

4 Ordinary Diploma in Marine Engineering(NTA level 6)

5 Certificate in Marine Operations

6 Master and Chief Mate

7 Chief Engineer and Second Engineer Officer

8 Officer in Charge of Navigational watch

9. Master Near - Coastal

10 Officer in Charge of Navigational Navigational watch near coastal

(00w<500GT)

11 Officer in charge of an Engineering Watch

12 Engineering Class 4

13 Short Courses

*Course improved to degree

61

Table 9.2.2 Degree in Maritime Transportation

YEAR

FIRST YEAR SECOND

YEAR

THIRD YEAR FOURTH

YEAR

TOTAL

Male Female Male Female Male Female Male Female

2012/2013 - - -

2013/2014 15 2 - - - - 17

2014/2015 31 1 16 2 50

2015/2016 33 5 27 `1 16 2 84

Source: DMI

Table 9.2.3. Degree in Marine Engineering Technology

YEAR

FIRST YEAR SECOND YEAR THIRD YEAR FOURTH

YEAR

TOTA

L

Male Female

2012/2013 - - -

2013/2014 16 1 - - - - 17

2014/2015 30 2 15 1 48

2015/2016 39 2 20 1 12 1 75

Source: DMI

Table 9.2.4. Ordinary Diploma in Maritime Transportation

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 21 1 22

2013/2014 11 2 13

2014/2015 19 1 20

2015/2016 11 1 12

Source: DMI

Table 9.2.5 Ordinary Diploma in Marine Engineering

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 16 - 16

2013/2014 19 0 19

2014/2015 20 2 22

2015/2016 30 30

Source: DMI

62

Table 9.2.6. Technical Certificate in Maritime Transportation

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 19 1 20

2013/2014 20 2 22

2014/2015 15 2 17

2015/2016 13 1 14

Source: DMI

Table 9.2.7. Technical Certificate in Marine Engineering

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 22 - 22

2013/2014 21 2 23

2014/2015 40 14 41

2015/2016 42 2 44

Source: DMI

Table 9.2.8 Basic Certificate in Marine Operation

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 49 4 53

2013/2014 67 3 70

2014/2015 72 4 76

2015/2016 64 3 67

Source: DMI

Table 9.2.9: Chief and Second Engineering unlimited class ( 2/1)

YEAR FIRST YEAR TOTAL

Male Female

2013/2014 14 - 14

2014/2015 11 - 11

2015/2016 7 - 7

Table 9.2.10: Office in charge Engineering Watch (Class 3)

YEAR FIRST YEAR TOTAL

Male Female

2013/2014 20 - 20

2014/2015 14 1 15

2015/2016 8 - 8

63

Table 9.2.11: Office in charge Engineering Watch less than 750 (Class 4)

YEAR FIRST YEAR TOTAL

Male Female

2013/2014 11 - 11

2014/2015 14 1 14

2015/2016 16 - 16

Table 9.2.12 Master and Chief Mate of more than 3000 GT (class 2/1)

YEAR FIRST YEAR TOTAL

Male Female

2013/2014 9 - 9

2014/2015 7 - 7

2015/2016 6 - 6

Table 9.2.13.Officer In charge of Navigational Watch Desk Officer (class 3)

YEAR FIRST YEAR TOTAL

Male Female

2013/2014 29 1 30

2014/2015 14 - 14

2015/2016 17 - 17

Table 9.2.14.Officer In charge of Navigational Watch near coastal Desk Officer (class 4)

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 - - -

2013/2014 - - -

2014/2015 17 - 17

2015/2016 37 - 37

Table 9.2.15 Introductory to International Certificate in Logistics and Transport

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 - - -

2013/2014 6 5 11

2014/2015 10 7 17

2015/2016 2 2 4

64

Table 9.2.16 International Certificate in Logistics and Transport

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 17 6 23

2013/2014 16 4 20

2014/2015 21 8 29

2015/2016 13 7 20

Tale 9.2.17 International Diploma in Logistics and Transport

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 30 10 41

2013/2014 14 5 19

2014/2015 10 4 14

2015/2016 10 4 14

Source: DMI

Table 9.2.18.International Advanced Diploma in Logistics and Transport

YEAR FIRST YEAR SECOND YEAR TOTAL

Male Female Male Female

2012/2013 21 4 25 13 63

2013/2014 9 8 15 3 35

2014/2015 8 2 9 8 27

2015/2016 1 3 7 5 16

Source: DMI

Table 9.2.19 Diploma level 4- shipping and Logistics

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 - - -

2013/2014 21 8 29

2014/2015 15 6 21

2015/2016 26 4 30

Source: DMI

65

Table 9.2.20 Diploma level 5- shipping and Logistics

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 - - -

2013/2014 21 4 12

2014/2015 - 4 12

2015/2016 8 1 7

Source: DMI

Table 9.2.21 Diploma level 6- shipping and Logistics

YEAR FIRST YEAR TOTAL

Male Female

2012/2013 - - -

2013/2014 - - -

2014/2015 7 3 10

2015/2016 4 3 7

Source: DMI