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Analyzing the contribution of higher learning institutions on rural development in Rwanda: case of the study SPREAD-NUR and Abahuzamugambi Coffee Cooperative Maraba

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par Jean Baptiste HABYARIMANA
National University of Rwanda - Bachelor's Degree 2010
  

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CHAPTER FOUR: DATA PRESENTATION, ANALYSIS, AND INTERPRETATION

This chapter presents results drawn from collected data. The target population was the members of ABAHUZAMUGAMBI Cooperative, whose main activity is to grow coffee known as MARABA Coffee.

Maraba coffee is grown in the MARABA area in southern province of Rwanda MARABA's coffee plants are the Bourdon variety of the coffee Arabica Species and are grown on fertile volcanic soil or on high altitude hills. The fruit is handpicked mostly during the rain season between March and May and brought to a washing station in MARABA, where the coffee beans are extracted and dried. At several stages, the beans are stored according to quality. Farmers receive credit based on the quantity of beans they provide.

In 1999 ABAHUZAMUGAMBI Cooperative was created with about 200 members. From since the Cooperative has been supported by the National University of Rwanda and SPREAD, and working hand by hand the Cooperative has improved the Coffee quality and penetrated on international market.

4.1. Level of Empowerment and Status of Development

The level of empowerment is going to be discussed according to the SPREAD-NUR's components based on empowerment indicators using collected data. This is to measure the perception of people toward SPREAD-NUR's contributions. Also the comparison between pre-SPREAD-NUR and post-SPREAD-NUR existence will be discussed as well in order to reflect the people's perception on the SPREAD-NUR and their community.

4.2. Demographic Characteristics of the Respondents

4.2.1. Distribution by Age and Sex

Figure 2. Sex distribution

This figure 2 shows the distribution of the 66 samples by sex, and shows that 55% of total respondents were Males and 45% were Females. To analyze age and sex all respondents were into 4 age groups. The largest group is 35-42 years old ranking 23 with 36% of the total respondents, this means that the majority of samples is more than 35 years old and is likely to be heads of families. 25% of respondents are under 35 years old and the oldest age of all respondents is 54 years old.

Table 1. Age Group by Sex

Age Group * Sex Cross tabulation

Distribution of Respondents by Age and Sex

 

Male

Female

Total

28-35 Years Old

11

5

16

35-42 Years Old

14

9

23

42-49 Years Old

5

10

15

49-56 Years Old

6

3

9

 

36

27

63

Source: Primary Data

Figure 3.Distribution of respondents by Age and sex

4.2.2. Distribution by marital status

The below figure shows that the majority of the respondents are married . They account for about 52% of the total sample. About 41% are widows and the rest are single (8%).

In brief the main demographical profile of respondents is married and mature more than 35 years old.

Table 1. Marital status

Marital Status

 

Frequency

Percent

Single

5

8

Married

34

52

Widow (er)

27

41

Total

66

100

Source: Primary Data

Figure 4. Marital Status of Respondents

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