GPLUS GENDER MATRIX SCORES OF SWEETPOTATO TRAITS, MAPUTO JUNE 2024

Description	Results
Interview period	22-Jun-2024 to 22-Jun-2024
Total number of Respondents
Number of Venues	1
Characteristics scoring duration (minutes)	Avg: 130 Min: 25 Max: 311

Participants' categorisation by sex [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	Female	27	57.45
01	Male	20	42.55
	Overall	47	100.00

q01. Can the characteristic involve a beneficial decrease in labour disproportionately performed by women producers processors traders food preparers or consumers in the targeted customer segment? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	No significant decrease in women's labour	39	82.98
01	Decreases women's labour moderately, with benefits to women's health and welfare	4	8.51
02	Decreases women's labour considerably, with benefits to women's health and welfare	3	6.38
88	Warning signal: not enough information available to score	1	2.13
	Overall	47	100.00

q02. Can the characteristic maintain or increase women's formal or informal employment of women producers processors traders food preparers or consumer's income in the targeted consumer segment? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	No significant change on an income generation activity	14	29.79
01	Increases or maintains women's employment with moderate gain in own income	13	27.66
02	Increases or maintains women's employment with considerable gain in women's own income	15	31.91
88	Warning signal: not enough information available to score	5	10.64
	Overall	47	100.00

q03. Can characteristic positively impact on quantity or quality of any product related to the crop that would increase income or home use of product by women producers processors traders food preparers or consumers in targeted consumer segment? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	The quantity or quality of no product or by-product under the control of women is affected	7	14.89
01	Increase of the quantity and quality of product or income from a product under the control of women is moderately improved	14	29.79
02	Increase in the quantity or quality of any product related to the crop under the control of women is considerably improved	20	42.55
88	Warning signal: not enough information available to score	6	12.77
	Overall	47	100.00

q04. Does the characteristic reduce the need of an essential input that is less accessible to/more important for women producers processors traders food preparers or consumers in the targeted consumer segment compared to men? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	No prevailing gender inequality in access to or need for an essential input for women	27	57.45
01	Moderate reduction in the need for at least one essential input that is ess accessible/more important for women	7	14.89
02	Considerable reduction in the need for at least one essential input that is less accessible/more important for women	4	8.51
88	Warning signal: not enough information available to score	8	17.02
99	Not applicable	1	2.13
	Overall	47	100.00

q05. Do women producers processors traders food preparers or consumers in the target customer segment value the characteristic positively? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	No	1	2.13
01	Yes	46	97.87
	Overall	47	100.00

q06. Do men producers processors traders food preparers or consumers in the target customer segment value the characteristic positively? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	No	6	12.77
01	Yes	41	87.23
	Overall	47	100.00

q07. Do women producers processors traders food preparers or consumers in the target customer segment value this characteristic more highly than men? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	No	16	34.04
01	Yes	31	65.96
	Overall	47	100.00

q08. Does the characteristic involve a harmful increase in labour disproportionately performed by women producers processors traders food preparers or consumers in the target customer segment? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	Increasing women's labour moderately, with benefits to women's health and welfare	7	14.89
-2	Increases women's labour considerably, with benefits to women's health and welfare	5	10.64
00	No significant increase in women's labour	30	63.83
88	Warning signal: not enough information available to score	4	8.51
99	Not applicable	1	2.13
	Overall	47	100.00

q09. Does the characteristic remove or reduce women's formal or informal employment for women producers processors traders food preparers or consumer's income in the targeted consumer segment? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	Reduces or removes women's employment with moderate reduction in women's own income	12	25.53
-2	Reduces or removes women's employment with considerable reduction in women's own income	2	4.26
00	No change in women's income-generation activities	25	53.19
88	Warning signal: not enough information available to score	6	12.77
99	Not applicable	2	4.26
	Overall	47	100.00

q10. Does the characteristic maintain or increase the need of an essential input that is less accessible to/more important for women producers processors traders food preparers or consumers in the targeted consumer segment compared to men? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	Moderate increase in the need for at least one essential input that is less accessible/more important for women	11	23.40
-2	Considerable increase in the need for at least one essential input that is less accessible/more important for women	1	2.13
00	No prevailing gender inequality in access to or need for an essential input for women	32	68.09
88	Warning signal: not enough information available to score	2	4.26
99	Not applicable	1	2.13
	Overall	47	100.00

q11. Does characteristic negatively impact on quantity or quality of any product related to crop in a way that would decrease income or home use of crop/product by majority of women producers processors traders food preparers or consumers in targeted segment? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	Negative impact on the quantity or quality of any product from the crop, that would cause moderate harm to women's income or home use of the product	8	17.02
-2	Negative impact on the quantity or quality of any product from the crop, which would cause serious harm to women's income or home use of the product	3	6.38
00	The quantity or quality of no product or by-product under the control of women is affected	24	51.06
88	Warning signal: not enough information available to score	11	23.40
99	Not available	1	2.13
	Overall	47	100.00

q12. Do the majority of women producers processors traders food preparers or consumers in the target customer segment value the characteristic negatively? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	Yes	9	19.15
00	No	38	80.85
	Overall	47	100.00

q13. Do the majority of men producers processors traders food preparers or consumers in the target customer segment value the characteristic negatively? [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	Yes	6	12.77
00	No	41	87.23
	Overall	47	100.00

Final gender impact score for POSITIVE BENEFITS (based on participant's selection) [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	NEUTRAL	2	4.26
01	NICE TO HAVE	11	23.40
02	REQUIRED	34	72.34
	Overall	47	100.00

Final gender impact score for POSITIVE BENEFITS (auto-computed using criteria recommended for G+ standards. This is based on a combination of scores made by the participants while answering questions q01 to q13) [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
00	NEUTRAL (No significant benefit)	5	10.64
02	REQUIRED (Considerable benefit)	37	78.72
99	N.A- No Matching Score	5	10.64
	Overall	47	100.00

Final gender impact score for DO NO HARM (based on participant's selection) [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-1	AMEND OR AVOID (moderate harm)	8	17.02
-2	REJECT (Considerable Harm)	1	2.13
00	NEUTRAL (No significant harm)	38	80.85
	Overall	47	100.00

Final gender impact score for DO NO HARM (auto-computed using criteria recommended for G+ standards. This is based on a combination of scores made by the participants while answering questions q01 to q13) [All Countries]

Note: results are from Roster Table

Code	Description	Freq	Percent
-2	REJECT (Considerable Harm)	20	42.55
00	NEUTRAL (No significant harm)	14	29.79
99	N.A- No Matching Score	13	27.66
	Overall	47	100.00