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Tanzania Electric Supply Company Limited

Environmental and Social Impact Assessments (ESIA) for the Proposed 400 kV Power Transmission Line Iringa - Do doma - Singida - Shinyanga Final Report - Annexes January 2010

Norsk-Data-Strasse 1 61352 Bad Homburg v.d.H., Germany Tel: +49-6172-9460-108 Fax: +49-6172-9460-20 eMail: [email protected]

Institute of Resource Assessment P.O. Box 35097 Dar es Salaam, Tanzania Tel: +255-22-2410144 Fax: +255-22-2410393 eMail: [email protected]

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E2315 vol 2 rev

ESIA for 400 kV OHL Iringa - Dodoma - Singida - Shinyanga: Final Report MVV decon ♦ IRA

January 2010

Table of Contents Annex 1: Stakeholder Consultation

Annex 1.1: People Consulted Annex 1.2: Summary of Stakeholder's Views and Concerns

Annex 2: Plant and Animal Species Recorded in the P roject Area

Annex 2.1: Checklist of Plant Species Recorded in the Project Area Annex 2.2: Checklist of Mammals Recorded in the Project Area Annex 2.3: Checklist of Reptiles Recorded in the Project Area Annex 2-4: Species in Forest Reserves Annex 2.5 Factsheets for Singida and Wembere Wetlands

Annex 3 General Physical Characteristics per Villag e in the Project Area

Annex 4 Socio-Economic Characteristics of Affected Population and Infrastructures

Annex 4.1: Number of Affected Houses Before/After Transmission Line Re-routing Annex 4.2: Number of Affected Houses Before/After Transmission Line Re-routing per

District and Transmission Line Section Annex 4.3: Average Land Size Cultivated per Household and Project Area Annex 4.4: Population of the affected Villages Annex 4.5: Social and Cultural Institutions in the concerned Villages Annex 4.6: Energy and Water Sources Available in the Affected Villages Annex 4.7: Average Annual Income per Household per Project Area Annex 4.8: Average Education Level of Household Members in Villages of the Project

Area Annex 4.9: Type of Houses based on Wall Material per Project Area (in % of Houses) Annex 4.10: Type of Houses based on Roofing Material per Project Area (in % of

Houses) Annex 4.11: Type of Houses based on Floor Material per Project Area (in % of Houses) Annex 4.12: Type of Toilet Facilities per Project Area (in % of Houses) Annex 4.13: Main Source of lighting per Project Area (in % of Households) Annex 4.14: Main source of cooking fuel per Project Area (in % of Households) Annex 4.15: Source of Drinking Water per Project Area (in % of Households)

Annex 5 Land Cover and Land Use Maps of Project Reg ion

Line stretch Iringa-Mtera-Manzase Line stretch Manzase-Dodoma-Manyoni-Muhalala Line stretch Muhalala-Singida-Ntondo Line stretch Ntondo-Ibadakuli / Shinyanga

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Annex 1

Stakeholder Consultation

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January 2010

Annex 1.1: People Consulted

Name Position District

District Officials Theresia Mbando Municipal Director Iringa Urban

Wilberd Wampembe Municipal Surveyor Iringa Urban Tina Sekambo District Executive Director Iringa Rural

J.A. Mwakasege District Community Development Officer Mpwapwa Mabula I. Isambula Surveyor Mpwapwa Joseph M. Halamga District Natural Resource Officer Mpwapwa

Daud Mayeji Chamwino Mohamed O. Sumoe Chamwino

George E. Loth Chamwino Mshauri Minenaki District Natural Resource Office Dodoma Urban

Hellen F. Minja Municipal Community Development Officer Dodoma Urban Devota I.Nyange Valuer - Municipal Dodoma Urban

Kuyenga, C.M Valuer Dodoma Urban Mshauri Minenaki District Natural Resource Office Dodoma Urban

Ansbert S. Rwamahe Municipal Game Officer Dodoma Urban Eng. J.E. Mbeyela District Engineer Bahi

C.K Mumwi Natural Resources Officer Bahi J.V. Mnara Natural Resources Officer Bahi I.A.Msofu District auditor Bahi

Rehema Nchimbi District Development Officer Bahi Wallace Kiama Cooperative Officer Bahi

Salama Mangala Lawyer Bahi Juliana Kerengi District Treasurer Bahi

Emmanuel Mziwanda Bahi R.T. Mwenda Bahi

Mary A. Mathew Education Officer Bahi Eliud Kongola District Agricultural Officer Bahi

Mathias Buhoro Water Engineer Bahi Hassan Nzobe District Treasurer Bahi Amede Amani District Community Development Officer Bahi

Shedrack Moshi District Community Development Officer Bahi Beatrice K. Msomisi District Executive Officer Bahi

Kissa Ino District Planning Officer Manyoni Machael Msigwa District Natural Resource Officer Manyoni Athman Masasi PLO Manyoni Julian J. Tarimo PLO Manyoni

Kenan M. Ng’ombe District Treasurer Manyoni Anusiata Lyimo District Executive Officer (DED) Singida Rural

Paskazia G. Kyaruzi District Land Officer Singida Rural Karoli Lukondo District Surveyor Singida Rural Robert Kitimbo District Executive Officer (DED Singida Municipal

K. Aristide Town Planner Singida Municipal R. Danyukile District Land Officer Singida Municipal

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Name Position District

Fortunatus H. Fwema DED Iramba Mathias Mkumbo DALDO Iramba

Theophil Ndunguru DPLO Iramba Mangula I. Lusungu Iramba

Dina Madeje Planning Officer Igunga Herman Hengele Land Department Igunga Esther N. Romole Ag. DED Kishapu

Sarai Pura Ag. DALDO Kishapu Leonard Koyo DCDO Kishapu

Shadrack M. Nitwa DFO Kishapu Pharles Mahushi Planning Officer Kishapu

Kassian B. Oswald Ag. DED Shinyanga Urban Engelbert Mdulla Land Officer Shinyanga Urban Rogasian P. Seda Economist Shinyanga Urban

Ministry Officials and Government Agencies

Mwita S. William MNRT - Antiquities Department Aloyce Tango MNRT - Forest and Beekeeping Division Dr. J. Ningu MAFC - Planning Division

Luhoro Julius TANROADS Village and ward level Village and Ward Executive Officers

Village Officials and Village Public Meetings Parti cipants

A volume with name lists of about 3500 people attending public meetings is available at TANESCO

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January 2010

Annex 1.2: Summary of Stakeholder's Views and Conce rns

Stakeholders Views/Concerns

TANESCO • Our main objective of the new 400kv line is to strengthen supply of elec-tricity to the north-west mainly to support the mining activities in the area

Mr. Maeji - DED Cham-wino District

• We can not say no to the project as it is public interest. • TANESCO needs to involve various stakeholders at an early stage to

avoid conflicts especially local people and their leaders such as council-lors.

• Compensation is also the major problem in such projects; people are not well informed of the process making it difficult for them to understand the whole process

• We need to know and have data of affected persons in each village within the district so that we can organise if they are to be reallocated.

• It is also important if officials from the district will also be involve in sen-sitizing local people regarding the project, issues of land acquisition and compensation.

Mr Sunu - Planning Offi-cer-Chamwino District Council

• TANESCO rarely involve the district in its development plans which we think is important as we are also stakeholders

• It is also important for TANESCO to consider supplying electricity in ar-eas that the national grid goes through so that these people can also benefit from the project. For instance the step down at Mtera could be used to supply electricity to local people.

• Local communities are playing an important role in providing security to TANESCO infrastructure; this job can not be done by the police alone, that is why we insist they should benefit from the project directly and in-directly.

Mr Loti - Land and Natu-ral Resource Officer Chamwino District

• The district valuer should be involved; it is also good if TANESCO in-volve government valuers to avoid as they are more competent in un-dertaking valuation of properties according to the law.

• There is land available within the district if need be to reallocate some of the affected people for specification of where to obtain the land we need to identify and analyse

• However most areas in the district have ownership there fore even for re allocation we might need to re acquire the land or even compensate ar-eas that we shall be obtaining land.

Dodoma Municipal • Raise awareness to the community on issues related to compensations and other individual’s rights

• Rate of compensations for different items should be clear and take into account the inflation rate in the country

• Compensations rates for perennials and annual crops are outdated, should revised to meet the current value of crops

• TANESCO should have programs to support NGO’s, CBO’s and other institutions dealing with environmental conservation in Dodoma region by providing funds for tree planting

• TANESCO should request plots to CDA on behalf of those who their houses will be demolition during the project implementation, this is spe-cifically for Mkonze village, where land is a problem and application for plots ion individual bases has been a problem and it will take time for

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them to be considered. Mpwapwa District • Compensation should take into account the current value of an item to

be compensated • Compensation of social services should be done before project take off. • District authorities including ward councillors should be involved in all

matters related to valuation and compensation. • TANESCO should take responsibilities for the environmental destruction

which will be made during project implementation, e.g. planting trees in other areas to compensate for the destroyed ecosystem.

Mr F Fwema - DED Iramba District

• Compensation is the major issue in such projects • Our main objective as local government is to work for the people at

grass root level and our operations are through participation to enhance democracy

• We should ensure that the project does not lead into conflicts in the area • It is best if there will be an opportunity for capacity building to the coun-

cillors, local people look at them as their representatives and they trust them more

• There is therefore a need to have a forum between TANESCO, Local Government officials and various Councillors

Mr Matias Mkumbo - Land and Natural Re-source Officer-Iramba District

• There is enough land in the district my main concern is if affected people will be ready to be reallocated in other areas; we therefore need to edu-cate councillors who will then educate local people

• Iguguno, Misigiri and Shelui these are small towns and they already have land use plans

• We recommend the proposed line should not affect the already sur-veyed areas as this will create a lot of problems to the land office

• Sekenke forest has already been gazetted as a forest reserve under participatory forest management, the owner is therefore the district council and 18 villages

Mr. Kisa Ino - District Planning Officer -Manyoni District and Mr. Michael Msigwa

• The existing power transmission line has been a problem to landing and takeoff of planes in Manyoni. Adding another line in the area will make things worse. For instance, there has been an incidence of qualea qualea outbreak in the district; attempts to control vermin using chemi-cals sprayed by helicopters have been hindered because of poor land-ing environment caused by the presence of power transmission line. Al-ternatively, they have been forced to land in Itigi, which is very far from Manyoni town and expensive.

• If possible the airport should be relocated to another place and the dis-trict is ready to provide another area for air port construction.

• Some of the villages where the proposed transmission line will pass are prospective areas for uranium mining e.g. Solya, Chibumagwa and Chi-kuyu. Therefore, care should be taken to ensure that environment and the people are not affected and conflict of interest between miners, TANESCO and villagers is addressed.

• Beekeeping is an important economic activity in Manyoni district, de-struction of environment by cutting trees which are potential areas for bees will definitely affect this industry and income of the people and the council at large. The compensation exercise should take into account the value of the environment to be destroyed.

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January 2010


• The cost for surveying other areas to establish settlement for affected people in Manyoni town should be covered by TANESCO.

• TANESCO should establish a program to support environmental con-servation programs in areas where they destroyed the environment.

World Vision • Our NGO is operational in this area and the rate of HIV in these area needs to be taken into consideration

• It is important to build capacity and conduct sensitization on HIV/AIDS to workers that will be involved in the construction of the project as well as local communities

• We can conduct the sensitization but we must be informed early as we have our own annual work plans so in case of any activities we need to in cooperate in the work plan.

Igunga Land Office • Within the district there is no land that has no ownership especially po-tential land which is very limited.

• The district should be involved during the survey so that we can know where exactly is the line going to pass

• Most of our villages in the district have not been surveyed, some have village certificate as well.

• Affected village governments should also be well informed so that they can assist in finding alternative land for the affected people.

• Most of the areas that the project intends to acquire are actually the fer-tile once; it will be difficult for the affected people to obtain fertile land in other areas.

Ms Esther N. Romole - Acting DED - Kishapu District

• We accept the project because we expect in future electricity will reach our district; currently the district is not connected to the National Grid.

• The main issue is compensation if the procedures are not well known to local people it will create conflicts

• It is also important to use local people leaders such as counsellors and village government officials to disseminate information

• We expect the project will employ our local people so that they can also benefit from the project.

• The district has a team that can facilitate in educating local people on HIV/AIDS issues; peer educators can be facilitated by TANESCO and educate people in the affected areas.

Agriculture Office - Kishapu District

• In this area some of our farmers grow hay to feed their animals some being natural grass; they invest their time and money; this should also be considered during compensation

• What value will you use to compensate in areas that people are already practising mining?

• Ministry of agriculture for quite some has not updated compensation rates for various crops, however its important for valuers to consider that cost for production for various crops differ from one place to another.

• It is also important to educate politicians especially counsellors Community Development - Kishapu District

• What do you do to cultural issues? Are they also compensated cause sometimes they have impact to communities

• Compensation has always been a problem, the process is not clear to most people and in most cases the payments are delayed

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January 2010


Acting DED - Shinyanga Municipality

• It is very important to involve local people from the preliminary stage of the project

• At Ibadakuli village TANESCO might need more land to expand the substation; land acquisition procedures should be followed for the Ibadakuli site.

• Councillors should also be involved so that they can facilitate the sensi-tization process

• We should also get the EIS reports to enable us implement the EMP Land Officer - Shinyanga Municipality

• The proposed project might affect our town drawing that have partly been prepared; we might have do some amendments in some areas

• District valuer must be involved in the valuation process • There is still enough alternative land for the effected people; land is still

not scarce in the district Planning Officer -Shinyanga Municipality

• This project needs to be introduced in our technical committee so that it is well known to all district officials

Ms Beatrice Msamisi - DED-Bahi District

• Where TANESCO is planning to erect towers the district is planning to build a bus stop

Bahi District Council Offi-cials

• TANESCO may delay compensation and create problems to the district • What will happen if people build on the right of way now; will TANESCO

compensate? • Some government buildings in Nala village fall on the proposed right of

way DED - Singida District Council

• When are they expecting to start the project? • What measures has TANESCO taken to ensure that supply of electricity

is guaranteed as well as supply of electricity in areas that there is no electricity and the national grid grows through those villages?

Singida District Council Officials

• Part of the proposed area for the new project has already been sur-veyed and plots allocated and also prepared village maps, this means we shall need to re-draw some of the areas? TANESCO should con-sider compensating for this exercise.

• Loss of farm land? We need to start thinking of alternative land for af-fected people. ESIA and RAP should consider this; we also have to in-corporate this in the district plans.

• Compensation should be on timely manner and valuation should con-sider market value of land and other affected properties.

• Affected people should also be encouraged to start looking for land, though most will opt for unplanned areas or hazardous areas.

Acting DED - Iringa Mu-nicipality

• We accept the project but there is a need of involving counsellors

Surveyor - Iringa Munici-pal Council

• Land issues should involve various committees within the district as well as the full council

Acting DED - Iringa Rural • The approach that has been used by TANESCO is very good cause it allows local people to be aware of the project

• However there is a need of involving politicians in this exercise, other-wise it might not be successful

• In such project valuation and compensation is the main problem, local people are not well involved

• Rates used to compensate are normally very low, this increases the level of poverty among the local people, land law especially the com-

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January 2010


pensation part should be reviewed • Local people in most of the areas that the transmission line goes

through do not benefit directly from the project, most of the rural areas have no access to electricity; there is a need to consider rural electrifica-tion

• You might be affecting someone from a very fertile piece of land, com-pensation should consider this

• Sensitization is also very important, telling people the benefits of the project

• There is land problem in the district, there is no single land that has no owner, it therefore means all affected people will again have to go and buy land

• Late release of compensation sometimes even after two years with infla-tion it affects people even more

Affected Local Communi-ties

• We accept the project but we also want to benefit directly from the pro-ject i.e. to be connected to the national grid

• We are impressed and also acknowledge the decision by TANESCO to conduct sensitization and information dissemination to local people prior accruing land or implementing the project

• Compensation and should be on a timely manner and transparent, we should also be involved in all the procedures regarding compensation exercise

• Compensation should be paid at the nearest bank from the village to avoid disturbance

• Employment opportunities during construction phase should priorities local communities

• Land acquisition should consider harvesting season; we should be al-lowed to harvest what we have already grown to avoid food shortage in the area

• Prior to demolishing any affected social service such as schools or wells, another facility should be constructed first by TANESCO. Also with regard to public services we would prefer compensation to be that of constructing another facility other than paying money to the village

• Costs for installing electricity is currently very high; TANESCO should consider reducing such costs in rural areas

• Most of TANESCO project involve cutting down tress that we have planted; the company should therefore be involved in tree planting ac-tivities

• We propose the project to avoid sandwiching our land especially in resi-dential areas as this reduces the value of land

• Re allocation of graves should follow our norms and traditions and we should be involved in identifying were to allocated the graves.

Mr Mwita S. William - An-tiquities Department-MNRT

• If the project involves digging the ground, cultural aspects should be considered

• Depending on the intensity of what will happen on site, there is an un-derground surface distance that can affect cultural heritage

• It the area has any cultural heritage that are of importance to the nation or the local communities then its better to look for alternatives

• Cultural heritages that are mainly for locals; the ministry is involved but it

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is always very important to involve the locals and agree with them on any activity that might impact their heritage

• The line goes through some areas that have important sites (the central slave and ivory trade route) for heritage example Kilimatinde has been proposed as a World Heritage Site, GMP for the are is on preparation to convert the area into a tourist centre

Dr Riwa - OSHA-MLYD • Land that is under a transmission line is legally TANESCO property • Transmission lines have social and economic components that need to

be taken into account • Issues of safety to workers, people living adjacent to the project area is

very important to be incorporated in all the project phases. Ministry of Land and Human Settlement

• This project land acquisition procedure is guided by the Land acquisition act no 47 of 1967; which elaborates acquisition of land for public interest such as wayleave for TANESCO is for public interest

• Once land has been acquired, compensation should follow the Land Act no. 4 and 5. of 1999

• TANESCO should apply to the commissioner regarding the intention to acquire land which will later be gazetted

• It is important to mention all the villages that will be affected by the pro-ject on the application

• The valuation procedure should also consider market value of the af-fected land/property

• Protected land such as forest reserve are under specific authorities however these authorities have no mandate to oppose a project.

Julius Ruhuro -TANROADS

• Review of law in relation to wayleave space is very important to avoid conflict with other institutions

• Avoid overloading during transportation of construction materials. Mr. Aloyce Tango - Min-istry of Natural Re-sources and Tourism-Forest and Bee Keeping Department

• Wetland and Water catchments areas should be avoided. • Compensation issues forest under Joint Forest Management system is

important to encourage the community around the forest. • Reserved trees should be avoided, if necessary, it should be done after

permission from the MNRT. Dr. J. Ningu - Ministry of Agriculture, Food Secu-rity and Cooperatives

• Policy review in relation to compensation of crops should be done after three years to ensure that the rate of compensation reflect the actual cost of investment to a particular crop.

• Compensation should be valued using foreign currency to avoid infla-tion.

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Annex 2

Plant and Animal Species Recorded in the Project Ar ea

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Annex 2: Plant and Animal Species Recorded in the P roject Area Preamble for Conservation Status The 1994 IUCN categories and criteria for classifying conservation status of the species were adopted (http://www.redlist.org); this list was last updated in 2000. Some species in the project area falls under categories like endangered (EN), Vulnerable (VU), and Lower risk (LR). Legend to the IUCN status of threatened species of Flora and Fauna • Critically Endangered (CR): A taxon is critically endangered when it is facing an extremely high

risk of extinction in the wild in the immediate future (these are defined under criteria A-E) • Endangered (EN): A taxon is endangered when it is not critically endangered but is facing a very

high risk of extinction in the wild in the near future (these are defined under criteria A-E) • Vulnerable (VU): A taxon is vulnerable when it is not critically endangered or endangered but is

facing a high risk of extinction in the wild in the medium-term (these are defined by criteria A-E) • Lower Risk (LR): A taxon is lower Risk when it has been evaluated, does not satisfy the criteria for

any of the categories critically endangered, Endangered or Vulnerable. Taxa included in the Lower Risk can be separated into three sub-categories.

i) Conservation dependent (cd) ii) Near Threatened (nt) iii) Least Concern (lc)

• Data deficient (DD): A taxon is data deficient when there is inadequate information to make a di-

rect or indirect assessment of its risk of extinction based on its distribution and /or population status.

• Not Evaluated (NE): A taxon is not evaluated when it has not yet been assessed against the crite-

ria.

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January 2010

Annex 2.1: Plant Species Recorded in the Project Ar ea Vegetation types

and land use Common Name Species Name Conservation

Status Place Name

Baobab Adensonia digitata VU Whistleling acacia Acacia seyal var seyal NE Whistleling acacia Acacia drepanolobium NE

White acacia Acacia meriffera NE Cyber petandra VU Busweria abyssinica NE

Wooded Acacia grassland and

farmland

Aloe Aloe mawii EN

Kiloleli, Igurubi

Pteleopsis myrtifolia VU Mninga Pterocarpus angolensis VU Mkongo Afzelia quanzensis VU Mpingo Dalbergia melanoxylon VU Mvule Milicia excelsa EN Mbula Parinari curatellifolia VU

Swartzia magadascariensis VU Muombo Brachystageia speciformis NE

Miombo woodland

Tamarind Tamarindus indica VU

Kilimatinde, Sekenke, Nyang’oro

Misigiri

Combretum molle NE Combretum paniculatum NE Combretum hereroense NE

Mchungwa nyani Strychnos mosambisensis NE Mpunungu Vitex doniana NE Mpunungu Vitex mombasae VU

Brachylean sp NE Xeroderris stuhlmannni NE

Manyoni, Tumuli, Ntondo

Mpande Milletia dura VU

Open miombo woodland and

farmland

Mpande Milletia stuhlmannii VU Nyang’oro, Sekenke

Bauhinia thorningii NE Schefflera arborea NE Schotia sp NE

Mzambarau pori Syzygium cordatum NE Mzambarau Syzigium cuminii VU

Mkuyu Ficus sur NE Dombeya shupangae NE Erythrina abyssinica NE Dovyalis abysssinica NE Stagnataenia sp NE

Combretum woodland and

farmland

Spirostachys mapronenfolia NE

Manga, Msisi,

Iguguno, Kitukutu,

Kyengege, Ulemo

Commiphora africana NE Terminalia brownie VU

Mparata nyani Stercuria africana VU

Densely commi-phora woodland

Cordia cinensis NE Gardenia sp NE Cardilla africana NE

Muombo Julbernadia globifera NE

Open commi-phora woodland

Ozoroa mucronata NE

Kisima, Mtera,

Makatopora, Fufu,

Chipogolo, Manzase,

Seluka

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Vegetation types and land use

Common Name Species Name Conservation Status

Place Name

Mpingo pori Dalbergia nitudula VU Mpingo Dalbergia melanoxylon VU

Mchngwa nyani Strychnos mombassae VU Baobab Adensonia digitata VU

Cyber petandra VU Crossopterix febrifuga VU Monotes sp VU Markhamia obtusifolia VU Lonchocarpus cappasa NE Lonchocarpus bussei NE Catunaregum spinosa NE

Mtanga Albizia vescular VU Mtanga mbuzi Albizia amara VU

Grewia sp NE Pteleopsis myrtifolia VU

Scrub and Thick-ets

Maerua angolensis NE

Mkwese, Choda, Isuna B, Ighuka, Nkuhi, Ikungi

Acacia negrenscence NE Balanite aegyptiaca Entada abyssinica NE Acacia spirocarpa NE Ochna holstii NE Dichrostachys cenerea NE

Acacia- Balanite woodland and

farmland

Busweria abbysinica NE

Mbutu, Bukama,

Mwamakona, Mwachipoleji

Lonchocarpus cappasa NE Lonchocarpus bussei NE Catunaregum spinosa NE Keetia spinosa NE Hypoestis sp NE Leonatus sp NE Hyperrhenia rufa NE Themeda triandra NE Microchloa sp NE Panicum maximum NE Panicum sp NE Andropogon conturtus NE Setaria sphacelata NE Chloris pycnothrix NE

Open wooded grassland and

farmland

Fragmatis sp NE Killynga sp NE

Imalanguzo, Nselembwe,

Kibigiri

Digitaria scalarum NE Aristida sp NE Helichrysum schimperi NE Lippia javanica NE Lipinus princei NE Hypericum revolutam NE

Bushed Acacia grassland

Hermania verucosa NE

Makomero, kalitu

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January 2010

Annex 2.2: Mammals Recorded in the Project Area

Common name Species name Conservation status

Vegetation types /land use

Place name

Oliv baboon Papio hamadryas anubis Blue monkey Cercopithecus mitis

Dense to open Miombo

woodland Bush-baby Galago sp Bush pig Potamochoerus larvatus Bushbuck Tragelaphus scriptus

Klipspringer Dikdik Rhynchotragus kirki

Elephants Loxodonta Africana EN A1b Hippopotamus Hippopotamus amphibi-

ous LR

Dense to open commiphora

woodland

Sekenke, Nyang’oro,

Izazi, Migori, Mtera

Jackal Canis sp Leopard Panthera pardus EN

Lion Panthera leo VU A1b Mongoose Bdeogale crassicauda Pangolin Manis temmincki LR/nt

Porcupine Rock hyrax Heterohyrax sp

Spotted hyena Crocuta crocuta LR

Scrubs and thickets

Choda Nkuhi

Isuna B

Velvet monkey Cercopithecus pyger-rythrus

Warthog Phacochoerus africanus Waterbuck Kobus ellipsiprymnus LR/cd aardvark Orycteropus afer

Dense or open miombo wood-

land

Sekenke, Nyang’oro

Annex 2.3: Reptiles Recorded in the Project Area

Common name Species name Vegetation types and land use

Place name

Crocodile Mtera Monitor lizard Sekenke,Nyang’oro Agama lizard Izazi Tree gecko Hemidactylus platycephalus Migori

Yellow-headed gecko Lygodactylus luteopicturatus Singida Tortoise

Dense to open com-miphora woodland

Python Sekenke,

Forest Cobra Naja melanoleuca nyang’oro Sand snakes Psammophis sp

Dense or open miombo woodland

Puff adder Bitis arietans Choda

Black mambas Dendroaspis polylepis Isuna B Gaboon viper Bitis gabonica Kalitu Green snake

Scrubs and thickets

kiloleli

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January 2010

Annex 2.4: Species in Forest Reserves

Forest Reserve Species

1 Nyang’oro Forest Reserve Iringa Rural District Swartzia madagascariensis Pterocarpus angolensis Afzelia quanzensis Albizia amara Albizia vescular Sterculia quinquloba Sterculia Africana Tamarindus indica Dalbergia melanoxylon Milletia stuhlmanii Milletia dura Mellicia excelsa Vitex doniana Vitex mombasae Adansonia digitata 2 Choda Forest Reserve Singida Rural District Pteleopsis myrtifolia Parinari curetilifolia Albizia amara Albizia vescular Cyber petandra Adansonia digitata 3 Sekenke - Tulya Forest Reserve Iramba District/ Igunga Rural Swartzia madagascariensis Pterocarpus angolensis Afzelia quanzensis Albizia amara Albizia vescular Sterculia quinquloba Sterculia Africana Tamarindus indica Dalbergia melanoxylon

- 16 -


January 2010

Annex 2.5: Factsheets for Singida and Wembere Wetla nds

- 17 -


January 2010

p

- 18 -


January 2010

page 3

- 19 -


January 2010

page 4

- 20 -


January 2010

- 21 -


January 2010

- 22 -


January 2010

Annex 3

General Physical Characteristics per Village in the Project Area

- 23 -


January 2010

Annex 3: General Physical Characteristics per Villa ge in the Project Area Region District No. Village Coordinates at

village office Land Use Physical

Characteristics Vegetation Soils

Iringa Iringa Mu-nicipal

1 Igumbilo 0803097 9139126

Extensive farming Plain and seasonal river and affected by

soil erosion

Planted trees, bushed grass-land & riverine vegetation

Sandy

2 Kigonzile 0802502 9144226

Extensive maize farming Plain with gentle slope Scattered bushes, wooded grassland

Sandy and clay

3 Nduli 0803602 9150198

Extensive maize farming Plain Grassland and scattered trees Sandy clayed

4 Igingilanyi 0804486 9156080

Agriculture and very little livestock keeping

Plain and some gentle slope towards Nduli village

Scattered trees and grassland Sandy and gravel

5 Ndolela 0808056 9171160

Farming and livestock keeping

Plain and some parts are slightly hilly

Grassland, some bush and scattered trees

Sandy clayed

6 Mkungugu 0805821 9166240

Extensive farming and very little livestock keep-ing

Plain and some parts are slightly hilly

Grassland and scattered trees Sandy, gravel and clay

7 Kising’a 0805421 9160700

Extensive farming little livestock farming

Plain Scattered scrub and trees Clayed sandy

8 Isimani Tarafani 0809152 9173824

Extensive farming and livestock keeping

Plain Scattered trees, scrub and grassland

Sandy clayed

9 Kihorogota 0811523 9176236

Extensive farming and livestock keeping

Plain Scattered trees Clayed, sandy and dark soil

10 Nyang’oro 0808945

9178720

Extensive farming little

livestock farming

Hilly and steep moun-

tain

dense forest- nyang’oro forest

reserve,

Clayed, sandy

Iringa Rural

11 Izazi 0800452

9198930

Fishing and very little

agriculture and livestock keeping

Some parts are plain

and slightly hilly

Bushed scrub and Adansonia

digitata and Commiphora trees: dense Miombo wood-land, part of Nyang’oro Forest

Reserve

Clayed, sandy and dark

soil

- 24 -


January 2010

Region District No. Village Coordinates at village office

Land Use Physical Characteristics

Vegetation Soils

12 Migori- Mtera 0805664 9207800

Fishing and very little agriculture and livestock keeping

Plain Scattered trees and grassland Clayed, sandy

13 Makatapora 0816740 9210630

Fishing, Few farms and livestock keeping

Plain Scattered trees Clayed sandy

14 Mtera 0828221 9213034

Fishing, Few farms and livestock keeping

Plain, some parts steep slope

Dense forest Sandy and gravel

15 Kisima 0830988

9222342

Few farms and livestock

keeping

Plain and gentle slope

towards Mtera dam

Dense forest Clayed sand and gravel

16 Chipogoro 0172755

9239626


keeping

Plain Scattered and some part have

dense forest

Clayed sand

Mpwapwa

17 Seluka 0176220 9246396

Few farms and livestock keeping

Plain Scattered scrub and plenty of Adansonia digitata and Com-

miphora trees

Clayed sand

Chamwino 18 Fufu 0829800

9258124


keeping

Plain Open Acacia woodland and

plenty of Adansonia digitata and Commiphora trees

Clayed sand

19 Manzase 0823658

9268962


keeping

Plain Open Acacia woodland and

plenty of Adansonia digitata and Commiphora trees

Clayed sand

20 Mloda 0817286 9273976

Few farms and livestock keeping

Plain Scattered scrub and plenty of Adansonia digitata trees

Clayed sand

21 Mlowa Bara-

barani

0813170

9280132

Moderate farming, live-

stock

Plain Scattered scrub and Adan-

sonia digitata trees

Clayed sand

Dodoma

Dodoma Ur-

ban

22 Nkulabi 0807539

9290230


keeping

Plain Open bush, grassland and

scattered Adansonia digitata trees

Clayed sand

23 Mpunguzi 0803678

9295010

Scattered grape farms

and livestock keeping

Plain, seasonal river Open bush and grassland Clayed sand with gravel

24 Mantumbulu 0802532

9298971

Scattered farms Slight hills, gentle

slope, some boulders

Grasslands and scattered

trees

Clayed sand -red,

gravel

- 25 -


January 2010



Vegetation Soils

25 Mkonze 0800043 9311389

Some farming and live-stock

Plain with gentle slope

Scattered trees and grassland

Clayed sand partly with gravel

26 Michese 0795907 9315766

Some farming and live-stock

Plain Scattered scrubs Clayed sand

27 Nala 0789961 9326663

Few farming and live-stock keeping

Plain, slight hill and gentle slope

Grassland, scattered scrubs Clayed sand

28 Chigongwe 0781606

9329715

Few farming and live-

stock keeping

Plain, gentle slope,

some Hills and scattered boulders

Grassland, scattered scrubs

and dense bush btn Msembeta and Chigongwe village

Clayed sand

Clayed sand with gravel

29 Ibihwa 0769508 9335022

Some farming and live-stock farming

Plain and gentle slope Open dry woodland with Ad-ansonia

Clayed sand

30 Mpamantwa 0764088 9340526

Few farming and live-stock keeping

Plain and slightly hilly Open dry woodland with Ad-ansonia

Clayed sand

31 Bahi 0757336 9341034

Some farming and live-stock keeping

Plain, seasonal river and wetland

Open dry woodland with Ad-ansonia digitata

Clayed sand

Bahi

32 Uhelela 0752007

9346724

Farming and livestock

keeping

Plain Open dry woodland with plenty

of Adansonia digitata

Clay

Singida Manyoni 33 Lusilile 0745247

9347766

Farming and livestock

keeping

Plain Open dry woodland with plenty

of Adansonia digitata

Clayed sand

34 Maweni 0735282 9349960

Few farms, livestock keeping

Plain and seasonal river

Open dry woodland with plenty of Adansonia digitata

Clayed sand

35 Chikuyu 0729378 9351408


Plain and seasonal river

Open woodland Clayed sand

36 Chibumagwa 0721698 9350164


Steep slope and plain towards Chikuyu

Dense woodland and scattered bushes in some disturbed ar-eas

Clayed sand, scattered boulders

37 Solya 0717097 9355534

Some sorghum & millet farming and livestock

keeping

Plain with steep slope around

Chibumagwa village

Grasslands with scattered scrub

Clayed sand, scattered boulders

- 26 -


January 2010



Vegetation Soils

38 Muhalala 0708415 9360438


Plain with gentle slope Grasslands with dense scrubs Clayed sand

39 Manyoni Mjini

(Kaloleni & Mwanzi sub vil-lages)

0705496

9365336

Some farming and live-

stock keeping

Plain Grassland and scattered

planted trees like mango trees

Sandy loam

40 Mitoo juu 0702084 9371398


Plain Grasslands with scattered scrub

Clay, black cotton soils

41 Mkwese 0700177 9377190

Farming along the line, as the line passes through dense forest

Plain Grasslands with scattered scrub

Clayed sandy

42 Choda 0695423 9391160

No farming along the line, as the line passes

through dense forest

Plain Dense thicket forming impene-trable thickets

Clayed sandy

43 Isuna A 0695154 9402010

Extensive farming and livestock farming

Plain Thickets to scattered trees Sand loam

44 Isuna B 0695534 9404738


Plain Wooded Grasslands with scat-tered trees

Sand loam

45 Nkuhi 0696934 9409864

Some cultivation Plain Degraded Miombo woodland into thickets

Sand loam

46 Ulyampiti 0697803 9424948

Extensive farming Slightly hilly and Plain

Degraded Miombo woodland into thickets

Clayed sand

47 Muungano 0697235 9429240

Extensive maize and rice farming

Plain Scattered scrubs Sandy loam

48 Ikungi 0696070 9432456

Some maize farming Slightly hilly Scattered scrubs Sandy loam

Singida Ru-ral

49 Ighuka 0695999 9435730

Some maize farming and livestock keeping

Plain Degraded Miombo woodland into thickets -some planted trees as well

Sandy loam

- 27 -


January 2010



Vegetation Soils

50 Kipumbwiko 0695392 9439176


Plain Grassland with some planted trees (eucalyptus)

Sandy loam

51 Nkunikana 0695927

9443924


stock keeping

Slightly hilly, with gen-

tle slope

Some planted trees and grass-

lands

Sand with gravel

52 Puma 0694588

9446830

Some farming Plain with gentle slope

and dense out crop rock

Grassland with scattered trees Clayed sand

53 Isalanda 0695282

9448420


stock keeping

Hilly, surrounded by

outcrop rocks

Scattered scrubs Clayed sand

54 Utaho 0693625

9451726


stock keeping

Hilly, surrounded by

outcrop rocks

Scattered scrubs Clayed sand

55 Kisaki 0695312 9457790


Hilly, with gentle slope and out crop rocks

Grassland with scattered bush and planted trees (eucalyptus)

Clayed sand

56 Kipungua 0695552 9465160


Hilly, with gentle slope Scattered scrubs Clayed sand

57 Misuna 0694645 9465368


Valley and slightly hilly,

Planted trees and grasslands Clayed sand

58 Mungumaji 0697847 9464426


Slightly hilly, and gen-tle slope towards Singida sub station

Grassland with some planted trees

Clayed sand

59 Unyambwa 0701124 9468520

Scattered farming Plain Some grassland and planted trees

Sandy

60 Mkimbii 0701462 9475544

Some cultivation and livestock keeping

Plain, with gentle slope towards Mtipa village

Some grassland and planted trees

Clayed sand

61 Mtipa 0696685 9474990


Hilly and scattered boulders; Mbuga Plain north of

Singidani Lake

Some grassland and scattered tree Scrub land with jatropha

bushes

Sandy loam

Singida Ur-ban

62 Manga 0689956 9478080

Extensive farming, Live-stock keeping

Plain Some planted trees and bushed grasslands

Sandy loam

- 28 -


January 2010



Vegetation Soils

63 Mnung’una 0686628 9482498

Farming, livestock keep-ing

Plain Open combretum woodland with scattered scrubs

Clayed sand

64 Msisi 0684754

9485964

Farming, livestock keep-

ing

Plain and gentle slope Open combretum woodland

with scattered scrubs

Clayed sand

65 Nkwae 0683522

9490074

Farming, livestock keep-

ing

Plain Open combretum woodland

with scattered scrubs

Clayed sand

66 Ntondo 0681183 9492218

farming, livestock keep-ing

Slightly hilly, valleys Open combretum woodland with scattered scrubs

Sand Clayed loam

67 Iguguno 0680375 9495114

Extensive farming, live-stock keeping

Slightly hilly, valleys and affected by soil

erosion

Bushed Grassland to scattered scrubs

Sand Loam to sand clay

68 Tumuli 0672864 9497433

Farming, Livestock keeping

Plain with gentle slope Grassland and Scattered trees Sand Loam to clay loam

69 Maluga 0668588 9501172


Plain Bushed Grassland and Scat-tered trees

Sand Clay

70 Kyengege 0663516 9510618


Plain Bushes with Scattered trees, mango trees and eucalyptus

Sand loam to Clay Loam

71 Mgundu 0662255 9514564


Plain Scattered trees, mango trees and eucalyptus

Sand loam to clay loam

72 Kitukutu 0658024

9512904

Farming, Livestock

keeping

Plain Scattered trees, mango trees

and eucalyptus


73 Ulemo 0655029

9612722

Extensive Farming,

Livestock keeping

Plain, hills around Ki-

zaga sec. school Plain

Scattered bushes


74 Misigiri 0648717

9514842


stock keeping Livestock keeping

Flat and slightly hilly Bushed shrub and highly open

woodland

Clayed sand

Iramba

75 Kibigiri 0639369 9517394

Extensive maize/sorghum Farming, Livestock keeping

Plain ascending into sekenke mountain

Scattered trees at low plain, Beginning of Sekenke Forest Reserve (miombo woodland)

Course sandy-Clay loam

- 29 -


January 2010



Vegetation Soils

76 Nselembwe 0632413 9518724

Extensive maize/sorghum Farming, Livestock keeping

Plain Scattered trees -Planted Acacia trees

Clay-loam

77 Kizonzo 0627311 9517374


Plain with gentle slope Scattered trees Loam -clay

78 Mseko 0618097 9514056

Maize farming, Livestock keeping

Plain Bushed shrubs with scattered Adansonia digitata trees

Sand and Loam

79 Mgongoro 0615351

9515296

Maize farming, Livestock

keeping

Plain, Wembere

Swamp

Wooded Acacia Grassland Clay-Loam

80 Makomero 0609106

9524836

Maize farming, Livestock

keeping

Plain Descending into

Wembere swamp

Mbuga Grassland plan with

scattered dwarf Acacia seyal bushes

Clay- Loam (black cot-

ton soil)

81 Mbutu 0599513

9532092

Cotton and maize farm-

ing, Livestock keeping

Plain Open Balanite woodland, in-

some area bushed Acacia Grassland

Sand clay -loam

82 Bukama 0591960 9538210

Cotton and maize farm-ing, Livestock keeping

Plain Bushed Grassland with Acacia seyal dominating the woody bush

Sand loamy

83 Imalanguzu 0589098 9544684

Extensive cotton farming and Livestock keeping

Plain Open Acacia bush land inter-rupted by farms

Clay- Loam

84 Mwamakona 0584393 9549866

Extensive cotton and maize farming, Livestock keeping

Steep slope, Soil ero-sion affected area

Disturbed Acacia -Balanite woodland

Clay- Loam, (black cot-ton soil)

Tabora Igunga

85 Igurubi 0578796 9558438

Farming and Livestock keeping

Plain and Ng’wawombe river

Bushed Acacia Grassland Clay Loam, highly eroded

86 Kalitu 0579900 9567674


Plain Grassland and scattered Aca-cia bushes

Mbuga area with clay soil-black cotton soil

Shin-yanga

Kishapu

87 Kiloleli 0578224

9573904

Maize and cotton farm-

ing, Livestock keeping

Valley, escarpment

and affected by soil erosion

Grassland and scattered aca-

cia shrubs

Sandy and clay loam-

black cotton soil

- 30 -


January 2010



Vegetation Soils

88 Mwaweja 0576360 9586204

Maize, rice and cotton farming, Livestock keep-ing

Plain Grassland and scattered aca-cia shrubs

Sandy and clay loam-black cotton soil

89 Mwajiginya 0575654 9585740

Farming (paddy and maize, livestock keeping

Plain and Slightly hilly

Farmlands with few Acacia bush in small section

Clay-loam (black cotton soil)

90 Negezi 0573574 9593200

Farming and livestock keeping

Plain

Scattered scrub Scattered scrub

Sand, Gravel and loamy

91 Ngunga 0578239 9575535

Extensive maize and cotton farming and live-stock keeping

Slightly hilly and Plain Scattered scrub Scattered scrub

Sand, Gravel and loamy

92 Mwamagunguli 0559485 9601068

Extensive maize and cotton farming and live-

stock keeping

Slightly hilly and Plain Thickets intermixed with scat-tered trees (Adensonia digi-

tata)

Loamy Shinyanga Urban

93 Ibadakuli 0556474 9599582


Plain Grassland with scattered trees, particularly (Adensonia digi-

tata)

Loamy

Source: Field Survey, 2008

- 31 -


January 2010

Annex 4

Socio-Economic Characteristics of Affected Populati on and Infrastructures

- 32 -


January 2010

Annex 4.1: Number of Affected Houses Before / After Transmission Line Re-routing per Village

Houses concernedw ithout with

Iringa Iringa Urban 1 Igumbilo 7 1 -6Iringa Rural 2 Kigonzile 0 0Iringa Rural 3 Nduli 0 0Iringa Rural 4 Igingilanyi 8 8Iringa Rural 5 Kising’a 2 2Iringa Rural 6 Mkungugu 0 0Iringa Rural 7 Ndolela 0 0Iringa Rural 8 Isimani Tarafani 0 0Iringa Rural 9 Kihorogota 0 0Iringa Rural 10 Nyang’oro 3 3Iringa Rural 11 Izazi 3 3Iringa Rural 12 Migori- M tera 25 25Iringa Rural 13 Makatapora 41 0 -41

Dodoma Mpwapwa 14 Mtera+S/S 125 0 -125Mpwapwa 15 Kisima 50 50Mpwapwa 16 Chipogoro 10 10Mpwapwa 17 Seluka 2 2Chamwino 18 Fufu 0 0Chamwino 19 Manzase 5 5Chamwino 20 Mloda 0 0Chamwino 21 Mlowa Barabarani 21 21Dodoma Urban 22 Nkulab i 10 10Dodoma Urban 23 Mpunguzi 4 4Dodoma Urban 24 Mantumbulu 0 0Dodoma Urban 25 Mkonze 36 36Dodoma Urban 26 Michese 5 5Dodoma Urban 27 Nala 28 7 -21Dodoma Urban 28 Chigongwe 8 8

Bahi 29 Ibihwa 16 16Bahi 30 Mpamantwa 5 5Bahi 31 Bahi 85 0 -85Bahi 32 Uhelela 3 3

Singida Manyoni 33 Lusilile 10 10Manyoni 34 Maweni 10 10Manyoni 35 Chikuyu 10 10Manyoni 36 Chibumagwa 0 0Manyoni 37 Solya 16 16Manyoni 38 Muhala la 0 0Manyoni 39 Manyoni Mjini 22 22Manyoni 40 Mitoo juu 6 6Manyoni 41 Mkwese 0 0

Singida Rural 42 Choda 0 0Singida Rural 43 Isuna A 3 3Singida Rural 44 Isuna B 10 10Singida Rural 45 Nkuhi 10 10Singida Rural 46 Ulyam piti 13 13Singida Rural 47 Muungano 0 0Singida Rural 48 IkungiSingida Rural 49 IghukaSingida Rural 50 Kipunguiko 5 5Singida Rural 51 Nkunikana 13 13Singida Rural 52 Pum a 50 6 -44Singida Rural 53 Isalanda 0 0Singida Rural 54 Utaho 0 0Singida Rural 55 Kisaki 19 19

alternativesdifference

19 19

Distric t VillageRegion

continued >>

- 33 -


January 2010

Singida Singida Urban 56 Kipungua 6 6 0Singida Urban 57 MisunaSingida Urban 58 MungumajiSingida Urban 59 UnyambwaSingida Urban 60 MkimbiiSingida Urban 61 MtipaSingida Rural 62 MangaSingida Rural 63 Mnung’una 14 14Singida Rural 64 Msis i 0 0Singida Rural 65 Nkwae 0 0Singida Rural 66 Ntondo 12 12

Iram ba 67 Iguguno 4 4Iram ba 68 Tumuli 8 8Iram ba 69 Maluga 4 4Iram ba 70 Kyengege 20 4 -16Iram ba 71 Mgundu 20 0 -20Iram ba 72 Kitukutu 20 0 -20Iram ba 73 Ulemo 10 10Iram ba 74 Mis igiri 0 0Iram ba 75 Kibigiri 12 12Iram ba 76 Nselembwe 2 2Iram ba 77 Kizonzo 18 18Iram ba 78 Mseko 17 17

Ta bora Igunga 79 Mgongoro 21 21Igunga 80 Makomero 16 16Igunga 81 Mbutu 15 15Igunga 82 Bukama 50 50Igunga 83 Imalanguzu 17 17Igunga 84 Mwam akona 35 35Igunga 85 Igurubi 16 16

Shinya nga Kishapu 86 Kal itu 6 6Kishapu 87 Kiloleli 10 10Kishapu 88 Ngunga 6 6Kishapu 89 Ngwajiginya 8 8Kishapu 90 Mwaweja 0 0Kishapu 91 Negezi 32 32

Shinyanga Urban 92 Mwam agunguli 3 3Shinyanga Urban 93 Ibadakuli 12 12

172 84 -88

Sources: Field Survey 2008; Line Routing Maps TM 50, and Google Earth Evaluation

- 34 -


January 2010

Annex 4.2: Number of Affected Houses Before/After T ransmission Line Re-routing per District and Transmission Line Section

Houses affectedwithout with

7 1 -682 41 -41

187 62 -12526 26 091 70 -21

109 24 -8574 74 0

178 90 -88168 124 -44135 79 -56170 170 062 62 015 15 0

1.304 838 -466

Houses concernedwithout with

352 180 -172366 216 -150586 442 -1441.304 838 -466

Transmission Line Section

District

IgungaKishapu

Shinyanga Urban

diff.alternatives

diff.alternatives

BahiManyoni

Singida Urban

Iramba

Dodoma Urban

Iringa Urban

MpwapwaIrigan Ural

Chamwino

Total

Total

Iringa - Dodoma Dodoma - Singida

Singida -Shinyanga

Singida Rural

Sources: Field Survey 2008; Line Routing Maps TM 50, and Google Earth Evaluation

- 35 -


January 2010

Annex 4.3: Average Land Size Cultivated per Househo ld and Project Area

Average size of farms of households inter-viewed; per district household cluster Households

Frequency of Data

Average Size (Acres per Farm Household)

Iringa Urban 12 92% 3.5

Iringa Rural 163 92% 8.6

Mpwapwa 90 97% 11.9

Chamwino 63 86% 8.9

Dodoma Urban 136 99% 5.5

Bahi 61 95% 5.3

Manyoni 84 99% 6.5

Singida Rural 81 99% 4.8

Singida Urban 31 84% 5.0

Iramba 69 99% 9.7

Igunga 45 100% 28.9

Kishapu 21 91% 14.1

Shinyanga Urban 40 98% 14.1

Total Average * 896 95% 9.0

* excluding households without farming from the analysis

Source: Socioeconomic Field Survey 2008

Average Farm Size per Village Cluster (13 Districts )

3,5

8,611,9

8,95,5 5,3 6,5

4,8 5,0

9,7

28,9

14,1 14,1

9,0

0,0

10,0

20,0

30,0

40,0

Iring

a U

rban

Iringa

Rur

al

Mpwapwa

Cham

wino

Dodom

a Urb

an Bahi

Manyo

ni

Singida

Rura

l

Singid

a Urb

an

Iram

b a

Igun

ga

Kishap

u

Shinya

nga U

rban

Total M

ean

District Village Cluster

Mea

n A

cres

per

Far

m


- 36 -


January 2010

Annex 4.4: Population of the Affected Villages

Region District Ward Village Male Female Total

Iringa Urban Ruaha Igumbilo 1050 1250 2300

Igilinganyi* 700 813 1513

Nduli 1800 2200 4000

Mkungugu 792 961 1753

Nduli

Kising'a 500 1000 1500

Izazi 986 1360 2246 Izazi

Makatapola 1821 1761 4553

Ndolela 420 496 916 Kihorogota

Kihogorota 700 874 1574

Isimani Tarafani Isimani Tarafani 870 1055 1925

Nyang`oro Nyang`oro 897 1020 1923

Kigonzile Kigonzile 771 821 1592

Iringa

Iringa Rural

Migori Mtera -Migori 3135 3350 6485

Mlunduzi Seluka 1347 1554 2901

Rudi Mtera 3048 3175 6223

Mlunduzi Chipogoro 3200 3328 6528

Mpwapwa

Rudi Kisima 2900 3220 6120

Fufu Fufu 1038 1298 2336

Manzase Manzase 2700 4300 7000

Makangwa Mloda 2608 2715 5323

Chamwino

Makangwa Mlowa Barabarani 3816 4016 7832

Nkulabi 2215 3635 5850

Mpunguzi 4020 4189 8209

Mpunguzi

Matumbulu 2167 3178 5345

Nala 2046 3063 5109 Nala

Chigongwe 2300 3089 5380

Michese 3780 4220 8000

Dodoma Urban

Mkonze

Mkonze 4312 4570 8882

Uhelela 980 1074 2054 Bahi

Bahi Sokoni 4779 5072 9851

Mpamantwa Mpamantwa 1676 2864 4543

Dodoma

Bahi

Ibihwa Ibihwa 2829 3249 6078

Solya Solya 536 727 1263

Manyoni Mjini (Kaloleni & Mitoo Chini)

931 1109 2040 Manyoni

Muhalala 1323 1451 2774

Sasajila Chibumagwa 1567 2460 4027

Maweni Maweni 1193 1341 2544

Chikuyu Chikuyu 1782 2215 3997

Mitoo juu 270 367 637

Mkwese 1,323 1,451 2,774

Manyoni

Kitinku Lusilile 1877 2109 3986

Puma 1613 1827 3440

Singida

Singida Rural Puma

Isalanda 381 504 883

- 37 -


January 2010


Utaho 891 913 1804

Nkunikana 966 2046 3012

Nkuhi 1487 1512 2999

Choda 500 550 1050

Issuna B 2320 2500 4520

Issuna

Issuna A 1188 1214 2402

Ulyampiti 1043 1048 2091

Ikungi 2010 2319 4329

Ikungi

Muungano 633 637 1270

Mnung`una 634 698 1332

Msisi 1055 1115 2170

Ntondo 980 1030 2010

Msisi

Nkwae 1003 1160 2163

Unyamikumbi Kisaki 1320 1716 3036

Dunguaji Kipumbwiko 1090 1004 2094

Ikungi Ighuka 1103 1100 2203

Kinyeto Mkimbii 1100 1600 2700

Mungumaji Mungumaji 1511 1701 3272

Mtipa 1529 1719 3248 Mtipa

Manga 1018 2232 3250

Misuna 650 770 1720 Majengo

Kipungua 380 404 774

Singida Urban

Unyambwa Unyambwa 1584 1816 3400

Mgundu 830 912 1742 Kyengege

Kyengege 1068 1900 2968

Nselembwa 4392 5031 9423

Mseko 1968 2036 4004

Shelui

Kizongo 1649 1824 3473

Kitukutu 1354 1450 2804 Ulemo

Misigiri 1700 2960 4660

Shelui Kibigiri 1737 1946 3683

Tumuli 1443 1745 3188 Iguguno

Iguguno 4065 4469 8534

Ulemo Ulemo 1392 1548 3840

Iramba

Kinampanda Maluga 1064 1596 2660

Mwanakoma 834 862 1696 Mwanashimba

Imalanguzi 1024 1430 2454

Bukama 1500 1555 3055 Mbutu

Mbutu 3219 3510 6729

Mgongoro 1925 2300 4225

Makomero 1897 1961 3858

Tabora Igunga

Igunga

Igurubi 3250 3520 6770

- 38 -


January 2010


Mwajiginya 906 930 1836

Negezi 916 954 1870

Ukenyenge

Mwaweja 711 824 1535

Ngofilo Katitu 462 770 1232

Taraga Nguga 1391 1422 2813

Kishapu

Kiloleli Kiloleli 1463 1545 3008

Kolandoto Mwamagunguli 1357 1934 3291

Shinyanga

Shinyanga Urban

Ibadakuli Ibadakuli 2123 2889 5012

Sources: Population and Housing Census, 2002

- 39 -


January 2010

Annex 4.5: Social and Cultural Institutions in the Concerned Villages

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Igumbilo 1 0 0 1 6 0 1 1 0 0 0 1 Iringa Mu-nicipal Total 1 0 0 1 6 0 1 1 0 0 0 1

Kigonzile 1 0 1 0 2 0 0 0 0 0 0 0 Nduli 1 1 0 1 8 0 1 0 0 0 1 1 Igingilanyi 1 0 0 0 8 0 1 0 0 0 0 1 Mkungugu 1 0 0 0 8 1 12 4 Kising’a 1 0 0 1 9 1 2 0 0 0 0 3 Isimani Tara-fani

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

Ndolela 1 0 0 0 2 0 1 0 0 0 0 4 Kihorogota 1 0 0 0 3 1 2 0 0 0 0 2 Nyang’oro 1 0 0 1 5 5 Izazi 1 0 1 1 5 0 0 0 0 0 1 1 Migori- Mtera 1 1 1 1 10 2 2 0 1 0 2 2 Makatapora 1 1 0 0 9 0 1 0 0 0 1 4

Iringa Rural

Total 12 3 3 5 76 7 24 1 1 0 6 28 Mtera 2 1 0 2 10 7 0 0 1 0 1 1 Kisima 3 0 0 1 16 0 9 0 0 0 0 11 Chipogoro 2 1 0 1 7 1 3 1 1 0 1 5 Seluka 1 0 0 1 4 0 1 0 0 0 1 1

Mpwapwa

Total 8 2 0 5 37 8 13 1 2 0 3 18 Fufu 1 1 0 1 4 0 1 1 0 0 0 1 Manzase 2 1 0 1 10 0 1 0 0 0 0 0 Mloda 1 0 0 1 4 0 1 0 0 0 0 3 Mlowa Baraba-rani

3 1 0 1 14 0 5 1 0 0 1 4

Chamwino

Total 7 3 0 4 32 0 8 2 0 0 1 8 Nkulabi 1 0 0 1 15 0 7 0 0 0 0 4 Mpunguzi 2 1 0 1 14 0 1 1 0 0 0 3 Mantumbulu 2 0 0 1 15 0 3 0 0 0 0 0 Mkonze 1 1 0 1 9 0 1 0 0 0 0 2 Michese 1 0 0 0 6 0 2 2 0 0 0 0 Nala 2 1 0 1 5 1 0 1 0 0 0 1 Chigongwe 3 0 0 1 8 1 0 0 0 0 1 2

Dodoma Urban

Total 12 3 0 6 72 2 14 4 0 0 1 12 Ibihwa 2 1 0 1 6 0 1 0 0 0 0 0 Mpamantwa 1 1 0 1 4 0 0 0 0 0 0 1 Bahi Sokoni 3 1 0 1 7 0 3 0 0 0 0 4 Uhelela 1 0 0 0 2 0 10 0 0 0 0 0

Bahi

Total 7 3 0 3 19 0 14 0 0 0 0 5

- 40 -


January 2010

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Lusilile 1 0 1 2 4 2 1 0 0 0 1 3 Maweni 1 0 0 1 3 0 3 0 0 0 0 1 Chikuyu 2 1 0 5 0 8 0 1 1 2 3 Chibumagwa 1 1 0 1 4 0 4 0 0 0 0 3 Solya 1 0 0 0 2 0 1 0 0 0 1 2 Muhalala 1 0 0 1 5 0 1 0 0 0 0 0 Manyoni Mjini 2 2 0 2 6 1 1 1 0 1 0 2 Mitoo juu 1 0 0 0 5 0 0 0 0 0 0 0

Manyoni

Mkwese 2 2 1 1 12 2 1 0 0 0 1 2 Total 12 6 2 8 46 5 20 1 1 2 5 16

Choda 1 0 0 1 6 0 5 0 0 0 0 0 Isuna A 2 0 1 0 4 2 2 0 0 0 0 0 Isuna B 2 1 0 1 5 0 1 0 0 0 0 1 Nkuhi 2 0 0 1 4 0 1 0 0 0 0 0 Ulyampiti 1 0 0 0 4 0 1 0 0 0 0 0 Muungano 1 1 0 0 3 0 1 0 0 0 0 0 Ikungi 1 1 0 1 7 3 1 1 0 0 0 1 Ighuka 1 1 0 0 8 0 1 0 0 0 0 1 Kipumbwiko 1 1 0 0 6 1 6 0 0 0 1 1 Nkunikana 1 1 0 0 7 0 2 1 0 0 0 0 Puma 1 1 0 1 8 0 1 0 1 0 0 3 Isalanda 0 0 0 1 2 0 2 1 0 0 1 1 Utaho 1 1 0 0 12 0 2 0 0 0 0 0 Kisaki 2 1 0 0 10 0 1 0 0 0 0 0 Mnung’una 1 0 0 0 2 0 0 0 0 0 0 0 Msisi 1 1 0 0 4 0 2 0 0 0 0 0 Nkwae 1 0 0 1 4 0 2 0 0 0 0 1 Ntondo 1 0 0 1 4 0 1 1 0 0 0 0

Singida Ru-ral

Total 21 10 1 8 100 6 32 4 1 0 2 9 Kipungua 1 2 0 0 0 0 0 0 0 0 0 Misuna 1 0 0 0 2 1 0 0 1 0 0 0 Mungumaji 3 1 0 1 13 0 1 0 0 0 0 0 Unyambwa 1 0 0 1 11 0 1 1 1 0 1 0 Mkimbii 1 0 0 0 1 0 1 0 0 0 1 0 Mtipa 1 1 0 1 7 0 3 1 0 0 1 0 Manga 1 1 0 1 8 0 2 1 0 0 0 0

Singida Ur-ban

Total 9 5 0 4 42 1 8 3 2 0 3 0 Iguguno 1 1 1 1 10 4 2 1 1 0 0 3 Tumuli 1 1 0 0 6 0 1 0 0 0 0 1 Maluga 1 1 0 1 6 0 1 0 0 0 0 0 Kyengege 1 1 0 1 8 0 1 0 0 0 1 1 Mgundu 1 0 0 0 5 0 3 0 0 0 1 1 Kitukutu 1 0 0 0 4 0 1 0 0 0 2 0

Iramba

Ulemo 1 0 0 1 4 0 2 1 0 0 0 3

- 41 -


January 2010

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Misigiri 3 1 0 1 7 0 4 0 1 0 0 0 Kibigiri 1 0 0 0 3 1 1 0 0 0 0 1 Nselembwe 3 1 0 1 14 3 2 2 1 0 1 0 Kizonzo 2 0 0 0 8 0 1 0 0 0 0 0 Mseko 1 0 0 0 0 0 7 0 0 0 0 2 Total 17 6 1 6 75 8 26 4 3 0 5 12 Mgongoro 1 0 0 0 3 0 1 0 0 0 0 0 Makomero 1 0 0 1 7 0 3 0 0 0 0 1 Mbutu 1 1 0 1 8 1 2 0 0 0 1 1 Bukama 1 0 0 0 7 0 0 0 0 0 1 1 Imalanguzi 1 0 0 0 3 0 7 0 0 0 0 1 Mwamakona 1 0 0 1 3 4 1 1 0 0 1 0 Igurubi 2 1 0 1 8 0 1 0 1 1 1 4

Igunga

Total 8 2 0 4 39 5 15 1 1 1 4 8 Kalitu 1 0 0 0 0 0 0 0 0 0 2 0 Kiloleli 1 1 0 1 3 0 2 0 0 0 2 0 Mwaweja 1 0 0 0 2 2 1 0 0 0 3 0 Mwajiginya 1 0 0 0 2 0 1 0 0 0 0 0 Negezi 1 1 1 1 3 0 2 0 1 1 0 1 Ngunga 1 0 0 0 3 0 1 0 0 0 2 0

Kishapu

Total 6 2 1 2 13 2 7 0 1 1 9 1 Mwamagunguli 2 1 0 1 5 0 1 0 0 0 0 0 Ibadakuli 1 1 0 1 8 0 2 0 0 0 1 0

Shinyanga Municipal

Total 3 2 0 2 13 0 3 0 0 0 1 0 GRAND TO-

TAL 123 47 8 58 570 44 185 22 12 4 40 118

Source: Socioeconomic Field Survey, 2008 Out of these 1231 infrastructures, only 7 will be affected by the new line (with line routing alternatives)

- 42 -


January 2010

Annex 4.6: Energy and Water Sources Available in th e Affected Villages

Region District Village Energy Type Water sources

Iringa Urban Igurubi Electricity from TANESCO Tap water

Igingilanyi Electricity from TANESCO Boreholes/ Tap water

Nduli Electricity from TANESCO Wells

Mkungugu Diesel Generator/Solar Boreholes/dam

Kising`a Diesel Generator/Solar Tap water/ Wells

Izazi Diesel Generator Tap water/ Boreholes

Makatapola Electricity from TANESCO River/ Boreholes

Ndolela no source of Electricity Tap water

Kihogorota no source of Electricity Tap water

Isimani Tarafani no source of Electricity Tap water

Nyang`oro Diesel Generator Tap water

Kigonzile Diesel Generator Wells /River

Iringa

Iringa Rural

Mtera -Migori Electricity From TANESCO Tap water

Seluka Diesel Generator/ Solar Panels

Wells/ Tap water

Mtera Electricity from TANESCO Boreholes/ River

Chipogoro Diesel Generator/ Solar Panels

Boreholes/dam

Mpwapwa

Kisima Diesel Generator/ Solar Panels

Wells/Boreholes

Fufu Diesel Generator/ Solar Panels

Wells

Manzase Solar Panels/ Biomass Wells

Mloda Diesel Generator/ Solar Panels

River, Lakes

Chamwino

Mlowa Barabarani Diesel Generator/ Biomass Wells/ Boreholes

Nkulabi Diesel Generator/ Solar

Panels

Wells/ Dam

Mpunguzi Diesel Generator/ Solar

Panels

Wells/ Boreholes

Matumbulu Diesel Generator/ Biomass Wells/ Boreholes

Nala Diesel Generator/ Solar Panels

Wells

Chigongwe Diesel Generator/ Solar

Panels

Wells/River

Michese Diesel Generator/ Biomass Wells

Dodoma Urban

Mkonze No Electricity Tap water/River, Lakes

Uhelela Diesel Generator Wells /River

Bahi Sokoni Diesel Generator/ Solar Panels

Wells/ Boreholes

Mpamantwa Diesel Generator/ Solar Panels

Wells

Dodoma

Bahi

Ibihwa No Electricity Boreholes

- 43 -


January 2010


Solya Diesel Generator Boreholes

Manyoni Mjini (Kaloleni & Mi-too chini

Electricity From TANESCO Tap water

Muhalala No electricity Wells/ Boreholes

Chibumagwa Diesel Generator/ Solar

Panels

Wells/ Boreholes

Maweni Diesel Generator Wells/ Boreholes

Chikuyu Diesel Generator Wells/ Boreholes

Mitoo-juu No Electricity Wells

Mkwese Diesel Generator Wells/ Borehole/Tap water

Manyoni

Lusilile Diesel Generator/Solar panel

Boreholes

Puma Electricity from TANESCO Boreholes

Isalanda Electricity from TANESCO Boreholes

Utaho Electricity from TANESCO Wells/ River

Nkunikana No Electricity Wells/ Boreholes

Nkuhi Diesel Generator River/ Tap water

Choda Solar Panels Wells

Issuna B Electricity from TANESCO /

Diesel Generator

Wells

Issuna A No of electricity Wells /Boreholes

Ulyampiti no source of electricity Boreholes

Ikungi Electricity from TANESCO Tap water

Muungano no electricity Wells

Mnung'una no electricity Boreholes

Msisi Electricity from TANESCO River, Lakes

Ntondo no electricity Boreholes

Nkwae no electricity River, Lakes

Kisaki no electricity Wells/Boreholes

Kipumbwiko Diesel Generator Wells/Boreholes

Singida Rural

Ighuka Diesel Generator Wells/ Boreholes

Mtipa Diesel Generator Wells/Boreholes

Manga Diesel Generator Tap water

Mkimbii Diesel Generator Wells/Boreholes

Mungumaji Diesel Generator Wells/Boreholes

Misuna no electricity Tap water

Kipungua no electricity River, Lakes

Singida Urban

Unyambwa Diesel Generator Wells/ Boreholes

Mgundu Diesel Generator Wells /Boreholes

Kyengege Electricity from TANESCO Boreholes

Nselembwa no electricity Tap water

Mseko no electricity Wells

Kizonzo Solar Panels Depend on nearly vil-

lage

Kitukutu No electricity Wells

Misigiri Diesel Generator River

Singida

Iramba

Kibigiri No electricity Tap water

- 44 -


January 2010


Tumuli Electric from TANESCO Tap water

Iguguno No electricity Wells/Tap water

Ulemo Micro Hydro Wells

Maluga Diesel Generator Boreholes

Mwanakoma No electricity River

Imalanguzi Diesel Generator/Solar Panels

River, Wells

Bukama Diesel Generator River

Mbutu No electricity River

Mgongoro No electricity Wells

Makomero Diesel Generator/ Wells/ Boreholes

Tabora Igunga

Igurubi Diesel Generator/ Solar Panels

River

Mwajiginya Diesel Generator/ Solar Panels

Boreholes, River

Negezi Diesel Generator/ Solar Panels

Wells

Kishapu

Mwaweja No electricity Rivers

Shinyanga Ur-ban

Ibadakuli TANESCO/Diesel Genera-tor

Boreholes

Katitu Diesel Generator River, Lakes

Nguga no electricity River, Lakes

Kishapu

Kiloleli no electricity Wells

Mwamagunguli no electricity Wells/ Boreholes

Shinyanga

Shinyanga Ur-

ban Ibadakuli Diesel Generator Tap water

Source: Socioeconomic Field Survey, 2008

- 45 -


January 2010

Annex 4.7: Average Annual Income per Household per Project Area

Districts Number of Responding

Households Percentage of House-

holds Responding

Indicative Average Annual In-come per Household (TSh) with

Income statements

Iringa Urban 9 69.2% 930,444

Iringa Rural 125 70.2% 1,115,340

Mpwapwa 82 88.2% 879,090

Chamwino 69 94.5% 942,174

Dodoma Urban 117 84.8% 768,863

Bahi 57 89.1% 704,188

Manyoni 72 84.7% 569,056

Singida Rural 71 86.6% 1,035,000

Singida Urban 30 81.1% 1,444,400

Iramba 64 91.4% 978,032

Igunga 43 95.6% 1,198,372

Kishapu 23 100.0% 1,144,861

Shinyanga Urban 38 92.7% 1,176,721

Average 800 84.9% 947,429


Average Annual Income of Households with Income Sta tements (TSh)

0

300.000

600.000

900.000

1.200.000

1.500.000

1.800.000

District Household Clusters

Ave

rage

Ann

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ncom

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Sh)


- 46 -


January 2010

Annex 4.8: Average Education Level of Household Mem bers in Villages of the Project Area

Education Level Percent None 28.8

Primary school 35.0 Secondary 2.7

College 0.4 Technical/vocational 0.3

Attending primary school 24.7 Primary school dropout 2.6

Drop-out secondary 0.5 Attending secondary school 4.7

University 0.1 Adult Education 0.2 Nursery School 0.0

Source: Socioeconomic Field Survey 2008 Annex 4.9: Type of Houses Based on Wall Material pe r Project Area (in % of Houses)

District

Polls and mud

Sun-dried bricks

Burnt bricks

Cement blocks

Grass and mud

Card-board/

cartons Stone-walls

Coconut leaves/ Grass Timber Mud

Iringa Urban 46.2 15.4 38.5 .0 .0 .0 .0 .0 .0 .0

Iringa Rural 44.4 22.5 24.7 .0 0.6 .0 .0 0.6 .0 7.3

Mpwapwa 68.8 10.8 12.9 1.1 1.1 .0 .0 .0 .0 5.4

Chamwino 84.9 4.1 2.7 .0 1.4 .0 1.4 .0 1.4 4.1

Dodoma Ur-

ban 59.4 29.0 0.7 6.5 2.2 0.7 .0 .0 .0 1.4

Bahi 26.6 62.5 6.3 1.6 1.6 .0 .0 .0 .0 1.6

Manyoni 32.9 54.1 5.9 1.2 1.2 .0 .0 .0 1.2 3.5

Singida Ru-

ral 41.5 32.9 9.8 4.9 1.2 .0 .0 .0 .0 9.8

Singida Ur-ban

27.0 43.2 5.4 24.3 .0 .0 .0 .0 .0 .0

Iramba 30.0 54.3 12.9 1.4 .0 .0 .0 .0 .0 1.4

Igunga 31.1 64.4 2.2 2.2 .0 .0 .0 .0 .0 .0

Kishapu 34.8 60.9 .0 .0 .0 .0 .0 .0 .0 4.3

Shinyanga

Urban 19.5 70.7 4.9 4.9 .0 .0 .0 .0 .0 .0

Total 45.9 35.5 10.1 3.1 1.0 0.1 0.1 0.1 0.2 3.9


- 47 -


January 2010

Annex 4.10: Type of Houses Based on Roofing Materia ls per Project Area (in Percent of Houses)

District Grass

Grass and

plastics Corrugated iron sheets

Corrugated sheets and

tiles Plastics Tiles Concrete Coconut leaves

Tin or metal

sheets

Grass and mud

Iringa Ur-

ban 16.5 .0 76.9 .0 .0 .0 .0 .0 7.7 .0

Iringa Rural 15.7 2.2 53.9 .6 .6 .0 .0 1.7 9.0 16.3

Mpwapwa 10.8 1.1 30.1 .0 3.2 .0 .0 .0 1.1 53.8

Chamwino 39.7 1.4 15.1 4.1 4.1 .0 1.4 4.1 .0 30.1

Dodoma Urban

5.8 .0 53.6 1.4 1.4 .0 .0 .0 2.9 34.8

Bahi 14.1 3.1 32.8 .0 4.7 .0 .0 .0 7.8 37.5

Manyoni 9.5 1.2 60.0 .0 3.5 .0 1.2 1.2 8.2 15.3

Singida Ru-

ral 6.1 .0 53.7 .0 1.2 .0 .0 .0 8.5 30.5

Singida Ur-

ban 2.7 .0 62.2 .0 2.7 2.7 .0 .0 13.5 16.2

Iramba 7.1 2.9 28.6 .0 7.1 .0 .0 .0 7.1 47.1

Igunga 17.8 .0 24.4 .0 4.4 .0 .0 .0 6.7 46.7

Kishapu 13.0 4.3 8.7 .0 13.0 .0 .0 .0 4.3 56.5

Shinyanga Urban

17.1 .0 39.0 .0 2.4 .0 .0 .0 4.9 36.6

Total 13.0 1.3 43.2 0.6 3.0 0.1 0.2 0.7 6.1 31.7


Annex 4.11: Type of Houses based on Floor Material per Project Area (in % of Houses)

District Mud Cement Floor tiles Timber Mud and Ceme nt Cement and Floor tiles

Iringa Urban 53.8 30.8 7.7 .0 7.7 .0

Iringa Rural 71.9 25.3 .6 .6 1.7 .0

Mpwapwa 87 11.8 2.2 .0 .0 .0

Chamwino 90.0 6.8 1.4 .0 1.4 .0

Dodoma Urban 69.6 29.0 .0 .0 1.4 .0

Bahi 79.7 17.2 1.6 1.6 .0 .0

Manyoni 68.2 29.4 1.2 .0 .0 1.2

Singida Rural 81.7 17.1 1.2 .0 .0 .0

Singida Urban 54.1 37.8 2.7 .0 .0 5.4

Iramba 84.3 12.9 2.9 .0 .0 .0

Igunga 91.1 8.9 .0 .0 .0 .0

Kishapu 95.7 4.3 .0 .0 .0 .0

Shinyanga Urban 73.2 24.4 2.4 .0 .0 .0

Total 76.9 20.5 1.3 0.2 0.7 0.3


- 48 -


January 2010

Annex 4.12: Type of Toilet Facilities per Project A rea (in Percent of Houses)

District Flush Toilet Pit latrine VIP Pit latrine Non e

Iringa Urban 7.7 92.3 0

Iringa Rural 2.2 1.7 95.5 0.6

Mpwapwa 1.1 0 98.9 0

Chamwino 0 0 100.0 0

Dodoma Urban 2.2 13.8 81.2 2.9

Bahi 4.7 4.7 90.6 0

Manyoni 5.9 4.7 89.4 0

Singida Rural 1.2 1.2 97.6 0

Singida Urban 18.9 2.7 78.4 0

Iramba 4.3 0 92.9 2.9

Igunga 11.1 0 86.7 2.2

Kishapu 17.4 0 82.6 0

Shinyanga Urban 14.6 0 85.4 0

Total 4.6 3.3 91.3 0.8

Source: Socioeconomic Field Survey 2008 Annex 4.13: Main Energy Source for Lighting per Pro ject Area (in Percent of Households) District Kerosene Candle Electricity Gas lamp Solar E nergy Fuel wood

Iringa Urban 92.3 0 7.7 0 0 0

Iringa Rural 97.8 0.6 1.1 0 0.6 0

Mpwapwa 2.2 21.5 33.3 3.2 39.8

Chamwino 1.4 26.0 30.1 2.7 39.7

Dodoma Urban 98.6 1.4 0 0 0 0

Bahi 31.3 4.7 14.1 0 0 50.0

Manyoni 1.2 1.2 7.1 0 0 90.6

Singida Rural 100.0 0 0 0 0 0

Singida Urban 78.4 0 21.6 0 0 0

Iramba 94.3 0 5.7 0 0 0

Igunga 35.6 0 2.2 37.8 11.1 13.3

Kishapu 0 4.3 30.4 26.1 39.1

Shinyanga Urban 0 2.4 4.9 2.4 12.2 78.0

Total 57.2 5.1 9.1 3.0 2.0 23.6


- 49 -


January 2010

Annex 4.14: Main Source of Cooking Fuel per Project Area (in % of Households)

District Fuel wood Charcoal Other bio-

mass Kerosene Gas Electricity

Iringa Urban 92.3 7.7 0 0 0 0

Iringa Rural 96.6 3.4 0 0 0 0

Mpwapwa 94.6 3.2 2.2 0 0

Chamwino 89.0 9.6 0 1.4 0

Dodoma Ur-ban

84.8 14.5 0 0.7 0 0

Bahi 95.3 3.1 1.6 0 0 0

Manyoni 98.8 0 0 1.2

Singida Rural 86.6 13.4 0 0 0 0

Singida Urban 62.2 37.8 0 0 0 0

Iramba 92.9 5.7 0 1.4 0 0

Igunga 88.9 11.1 0 0 0

Kishapu 87.0 4.3 0 4.3 0 4.3

Shinyanga Ur-ban

92.7 0 2.4 0 0 4.9

Total 90.9 6.8 1.3 0.5 0.1 0.4


Annex 4.15: Utilisation of Drinking Water Sources p er Project Area (in % of Households)

District

Pipe in-side

house

Pipe outside house

Commun-al stand

pipe River Stream Bore-hole

Covered well

Un-covered

well Dam Spring

Iringa Ur-ban

15.4 15.4 23.1 0 7.7 0 0 30.8 0 0

Iringa Ru-ral

4.5 23.6 34.8 1 0 2.8 0 25.3 7.9 0

Mpwapwa 2.2 12.9 67.7 6.5 0 0 7.5 3.2 0

Chamwino 1.4 26.0 30.1 2.7 0 0 39.7 0 0

Dodoma Urban

4.3 7.2 13.0 3.6 3.6 9.4 1.4 57.2 0 0

Bahi 0 12.5 60.9 12.5 0 0 0 14.1 0 0

Manyoni 0 3.5 90.5 4.7 0 0 1.2

Singida

Rural

0 4.9 36.6 0 0 19.5 2.4 32.9 3.7

Singida

Urban

10.8 35.1 21.6 0 0 27.0 0 5.4 0 0

Iramba 2.9 7.1 2.9 2.9 0 50.0 0 31.4 1.4 1.4

Igunga 0 2.2 11.1 53.3 0 20.0 11.1 0

Kishapu 0 8.7 0 73.9 0 0 17.4 0

Shinyanga Urban

2.4 2.4 2.4 0 0 82.9 0 0 7.3 2.4

Total 2.9 12.6 34.6 3.1 1.4 8.3 0.4 24.7 3.3 0.5


- 50 -


January 2010

Annex 5

Land Cover and Land Use Maps of Project Region

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January 2010

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