VCA4D COFFEE VC- FARMERS IDENTIFICATION

STUDY OVERVIEW

A study conducted within May-June 2025 by a group of international and national scientists at the request of the Ministry of Agriculture and the European Union Delegation in Dar es Salaam. The purpose of the study was to learn more about coffee business and farmers livelihoods which is geared towards building a picture of the coffee sector in Tanzania. This study was conducted in the Kagera and Ruvuma regions of Tanzania.

General Summary showing of averages, minimum, maximum values [All Regions]

Description	Results
Interview period	15-May-2025 to 03-Jun-2025
Number of respondents	137 (Male:115 Female:22)
Number of Districts	3
Interview duration (minutes)	Avg: 50 Min: 19 Max: 100
Age of Respondent (years)	Avg: 50 Min: 21 Max: 85

Coffee farmers categorised by regions [All Regions]

Code	Description	Freq	Percent
25506	Kagera	66	48.18
25525	Ruvuma	71	51.82
	Overall	137	100.00

Coffee farmers categorised by districts [All Regions]

Code	Description	Freq	Percent
2550604	Karagwe	33	24.09
2550607	Muleba	33	24.09
2552501	Mbinga	71	51.82
	Overall	137	100.00

Categorisation of interview responents by sex [All Regions]

Code	Description	Freq	Percent
01	Male	115	83.94
02	Female	22	16.06
	Overall	137	100.00

Categorisation of interview responents by age [All Regions]

Code	Description	Freq	Percent
04	Youths 18-35 years	28	20.44
05	Adults 36-60 years	77	56.20
06	Seniors (above 60 years)	32	23.36
	Overall	137	100.00

Categorisation of interview responents by levels of education [All Regions]

Code	Description	Freq	Percent
25501	Pre-Primary (Y1 & Y2)	16	11.94
25502	Primary (Y1 - Y7)	82	61.19
25503	Secondary (Y1 - Y4)	22	16.42
25504	Advanced secondary (Y1 & Y2)	1	0.75
25505	Tertiary (University, college)	13	9.70
	Overall	134	100.00

Categorisation of interview responents by marital status [All Regions]

Code	Description	Freq	Percent
01	Single	6	4.38
02	Married	115	83.94
03	Separated or Divorced	6	4.38
04	Widowed	10	7.30
	Overall	137	100.00

Categorisation of interview responents by relationships to household heads [All Regions]

Code	Description	Freq	Percent
01	Household head	127	92.70
02	Spouse (husband)	5	3.65
03	Spouse (wife)	5	3.65
	Overall	137	100.00

Sex of household heads (if not respondents) [All Regions]

Code	Description	Freq	Percent
01	Male	10	100.00
	Overall	10	100.00

Marital Status of household heads (if not respondents) [All Regions]

Code	Description	Freq	Percent
02	Married	10	100.00
	Overall	10	100.00

Languages used during interviews [All Regions]

Code	Description	Freq	Percent
25501	Swahili	96	70.07
25502	English	39	28.47
99995	Other ethnic language	2	1.46
	Overall	137	100.00

Ethnic groups of respondents [All Regions]

Code	Description	Freq	Percent
25501	Haya/ Bahaya	55	40.15
25502	Matengo	71	51.82
25505	Nyambo	1	0.73
99995	Other ethnic group	10	7.30
	Overall	137	100.00

HOUSEHOLD CHARACTERISTICS

General Summary showing of averages, minimum, maximum values [All Regions]

Description	Results
Household size (number of people living in the household)	Avg: 6 Min: 1 Max: 16
b16. Proportion (%) of household income contributed by household members working outside the village	Avg: 42.61 Min: 4.00 Max: 95.00

Sizes of coffee farming households [All Regions]

Code	Description	Freq	Percent
01	1-3 members	45	32.85
02	4-6 members	45	32.85
03	7-9 members	31	22.63
04	10 plus members	16	11.68
	Overall	137	100.00

b11. Does the Head of Household live in the same village / homestead as the respondent [All Regions]

Code	Description	Freq	Percent
00	No	1	10.00
01	Yes	9	90.00
	Overall	10	100.00

b15. Do any of the people working outside the village send or bring money back to the household? [All Regions]

Code	Description	Freq	Percent
00	No	9	20.93
01	Yes	34	79.07
	Overall	43	100.00

Supported by: MOOD TECHNOLOGIES