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

Factors
Number of
activities
Sole dependence
on Marine
resources
Area (excluding
Mahurunga)
Table 29: Significant Pearson correlation
All households Marine dep. Fishing dep.
Households households
N r p N t p N r p
640 0.104 0.02 170 0.172 0.03
220 4.7 0.00 158 2.7 0.02
169 2.5 0.02
5.3.2 At a general level
Results of the analysis of variance show that there is a significant difference in the scores across the
villages. On average, households in Msimbati and Tangazo are better off than in other villages (Table
30).
Table 30: Average MSL score per village and rank according to the score
Village Average MSL Rank
Msimbati 7.8 1
Mngoji 6.9 3
Litembe 6.7 5
Tangazo 7.7 2
Mahurunga 6.8 4
All 7.4
This may be due to the fact that these villages were largest and possibly main trade centres, thus
provide a wider spectrum of opportunities for households. The slight positive correlation of the Scores
with the number of activities a household carries out may confirm this (Table 31).
Table 31: Significant correlation between number of activities
carried out by a households and MSL score
Number
activities
MSL Score
0.143
Widow headed household were found to be poorer than other households on average (Table 32) as
shown by the results below with an average score of 5.2 against 7.6 for other activities. This is similar
to findings of other studies ( Haddad et al., 1994).
Table 32: Significant difference in MSL scores between
widow headed households and others.
Group
Average MSL
Non Widow HH 7.6
Widow HH 5.7
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