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a socio-economic baseline assessment of the mnazi bay - IUCN

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%<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Figure 2: Dependence on <strong>the</strong> different activity categories at<br />

<strong>the</strong> Marine Park level (excluding Nalingu))<br />

N=1737<br />

N=145<br />

N=1035<br />

N=4292<br />

MBREMP 1<br />

Mar.Dep.<br />

River<br />

O<strong>the</strong>r Res.Dep.<br />

Farming<br />

O<strong>the</strong>r business<br />

Artisan<br />

Casuals<br />

Employed<br />

O<strong>the</strong>r<br />

N=892<br />

N=375 N=381<br />

N=160<br />

N=26<br />

(Source: Occupational structure)<br />

Very few households rely on one activity only, thus <strong>the</strong> sum <strong>of</strong> households per type <strong>of</strong> occupations is<br />

higher than 4958 (100%). Each bar represents <strong>the</strong> proportion <strong>of</strong> households in <strong>the</strong> MBREMP who<br />

depends at least partly on each type <strong>of</strong> activity.<br />

At <strong>the</strong> Marine Park level, findings show that on average household livelihoods are composed <strong>of</strong> 1.73<br />

categories <strong>of</strong> activity. In order <strong>of</strong> importance <strong>the</strong>se are farming (87% households), marine associated<br />

activities (35% - excluding mangrove harvesting), o<strong>the</strong>r natural resources associated activities (21%<br />

households), o<strong>the</strong>r business (18% households), artisans, casual labour, employment, river dependent<br />

activities and o<strong>the</strong>r.<br />

However, this structure is not homogeneous across <strong>the</strong> Marine Park and varies according to villages as<br />

shown in Map 1. Map 1 suggests that villages can be grouped according to <strong>the</strong>ir geographic location,<br />

based on <strong>the</strong>ir proximity to <strong>the</strong> sea, to <strong>the</strong> river, and <strong>the</strong> mangrove area. This illustrates <strong>the</strong> relationship<br />

between <strong>the</strong> physical environments and livelihood activities.<br />

Villages can be grouped as follows:<br />

Sea bordering villages (Mkubiru, Nalingu, Mngoji and Msimbati). These villages represent 31%<br />

<strong>of</strong> <strong>the</strong> listed households, excluding Nalingu (see table 1)<br />

Mangrove villages (Madimba, Mitambo, Litembe, Tangazo, and Kilambo). These villages<br />

represent more than half <strong>the</strong> households listed (52.6%, table 1).<br />

River villages (Kitunguli and Mahurunga), which represent 10.8% <strong>of</strong> <strong>the</strong> listed households.<br />

O<strong>the</strong>r: Kihimika, which is, located <strong>the</strong> fur<strong>the</strong>st from <strong>the</strong> sea, river, or mangrove (5.5% <strong>of</strong> <strong>the</strong><br />

listed households).<br />

Natural resources exploitation it likely to be affected by <strong>the</strong> location <strong>of</strong> <strong>the</strong> villages in relation to <strong>the</strong>se<br />

natural resources, however, o<strong>the</strong>r aspects such as access to markets and infrastructure might have an<br />

impact which were not analysed in this study.<br />

16

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