Contribution of microfinance on women empowerment case study of Vision Finance company ltd Nyaruguru
par Albert RUTAYISIRE
Protestant institute of arts and social sciences - Bachelor's degree in Business studies with education 2016
This chapter concerns the presentation of findings from the research project. The data have been collected from self-administered questionnaires and observation on the field to explore the women projects. The data collected have been tabulated and analyzed by descriptive statistics.
Participants to our research were identified according to some socio-demographics variables. These are the sex, age, marital status, education level, and employment status, which are synthesized in the below table. These variables affect the use of savings and credit operations.
1. Identification of respondents
Source: Primary data.
According to the variable sex, all respondents were women, and they should generate the needed information for research, as the topic focused on women only.
According to the variable age, most of respondents are ranged between 18-35 years, representing 32.8% and 36-45Years representing 64.1%. This meets the fact that the above category represents the active population in general; while above 45 years of respondents have 3.1%, which means that this group characterized by the dependent category and they do not owing business.
With regard to the marital status, the married group showed 40.6%, and Widower group represent 56.3%, and became higher involved in savings and credit operations rather than the single one. The explanation behind is that the single population is less charged than the married and widower group, in terms of people who are/are not dependents on them. The person who has to satisfy the needs of many people has to increase his incomes.
From the above table, results show that people with primary level constitutes 96.9% of the respondents. Thus, 3.1% of respondents represents category of others. The others group includes those who attend adult education or never attended school. We explain these findings as a result of the microfinance's institutions deal with low income projects.
Reference made to employment status, the high number of respondents (92.2%) is self-employed, whereas the employed represent the small group with 7.8%. These results match with the Rwandan government initiatives which encourage people not to look at State of employment, but to set up their own business (entrepreneurship).
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