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Fig 1.

Map of the study areas with emphasis on Asia.

The colour represents the different villages within country cohorts, in total 70 distributed across 13 countries (Mexico, Morocco, Ethiopia, Tanzania, Malawi, Nigeria, Zimbabwe, Afghanistan, Pakistan, Uzbekistan, Bangladesh, Nepal, and India). Village distribution by region is provided in Table 3.

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Table 1.

Sources of information.

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Table 1 Expand

Table 2.

Overview of variables.

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Fig 2.

Schematic representation of the analysis.

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Fig 3.

Loadings of variables and village scores according to ‘Gender climate’, ‘Opportunity’, and ‘Connectivity’.

(A)The left column represents the loadings of the variables. (B) The right column represents the distribution of the village scores per country cohort (two letter code), the number of sampled villages per country cohort is shown in parentheses. The colour represents the different villages within country cohorts. (C) The first row is the ‘Gender climate’ component derived from 15 variables. (D) The second and third rows are the complementary components (‘Opportunity’ and ‘Connectivity’) derived from 17 variables.

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Table 3.

Scores of villages according to Gender climate, Opportunity, and Connectivity.

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Table 3 Expand

Fig 4.

Visualization of relation between components grouped by country cohort.

The scores of the villages are grouped by country cohort (two letter code). ‘Gender climate’ is in x-axis, while the two complementary components, ‘Opportunity’ and ‘Connectivity’, are represented in y-axis.

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