THE GENDER MARKER
TOT for FAO – WFP MAY 30, 2011
Linda Pennells – IASC GenCap Adviser
SESSION OVERVIEW
1. History of the IASC Gender Marker (GM)
2. Purpose of the GM
3. GM Focus
4. Performance of clusters in 2011 roll-out
5. The Gender Code
6. Food Security – Lessons to date
7. Role of the FS Cluster Coordinators
8. Assisting the FS Cluster Coordinators
9. The GM Pay-Off
HISTORY OF THE GENDER MARKER
IASC - CAP Sub-Working Group
PURPOSE OF THE GENDER MARKER
A SIMPLE and PRACTICAL tool; To measure/track inclusion of
gender and GBV throughout the project cycle
To enable/to build capacity of humanitarian teams to give voice and agency to male and female beneficiaries.
GENDER MARKER FOCUS
Gender Mainstreaming: the different needs of women, girls, boys and men are analyzed. This analysis is reflected in project activities and outcomes
Targeted Actions: assisting women, girls, boys or men who suffer discrimination and building gender- specific services GM is now mandatory in CAPs, PFs and ERFs
GENDER MARKER CODING
GENDER CODE
DESCRIPTION
0Gender is not reflected anywhere in the project sheet
May not contribute to gender equality
1
The project includes gender equality in the needs assessment, in an activity or in an outcome
Contributes in a limited way to gender equality
GENDER MARKER CODING
GENDER CODE
DESCRIPTION
2aGENDER
MAINSTREAMING
A gender analysis is in the project’s needs assessment and reflected in the project’s activities and outcomes.
Contributes significantly to gender equality
2bTARGETED ACTION
The project is targeted based on gender analysis
The principal purpose is to advance gender equality.
APPLYING A GENDER CODE: WHO AND HOW?
Cluster vetting team – Cluster Coordinators ensure competence exists to identify gender codes
Support from gender specialists /OCHA OPS and FTS have a ‘field’ for the gender code Humanitarian appeals increasingly have gender
and GBV in selection and prioritization criteria Donors starting to shop by gender code already
NEEDS ACTIVITIES OUTCOMES
CLUSTERS’ PERFORMANCE IN CAP/PF 2011
(CHANGE IN GM CODES FROM CAP 2010 TO CAP 2011 IN SIX COUNTRIES)
G
% OF PROJECTS CODE 0 CODE 1 CODE 2A CODE 2B
CLUSTER 2010 2011 2010 2011 2010 2011 2010 2011
Agriculture 54% 18% 30% 39% 11% 36% 6% 7%
Coord & Support 60% 39% 26% 24% 5% 37% 10% 0%
E. Recovery 54% 10% 24% 21% 12% 64% 10% 5%
Education 35% 3% 27% 28% 38% 65% 0% 5%
Food Sec./Aid 29% 28% 54% 28% 14% 44% 4% 0%
Health 38% 12% 31% 28% 13% 51% 18% 10%
Multi-Sector - Refs 44% 0% 52% 41% 4% 53% 0% 6%
Nutrition 45% 29% 39% 32% 14% 35% 2% 3%
Protection 44% 8% 19% 19% 25% 57% 13% 16%
Shelter/NFI/CCCM 40% 7% 50% 41% 10% 37% 0% 15%
WASH 57% 12% 30% 50% 12% 34% 1% 3%
Totals 45% 15% 35% 32% 14% 47% 6% 6%
FOOD SECURITY INSIGHTS FROM THE 2011 ROLL-OUT
good news: practice is better than projects many projects lack gender analysis / baseline better targeting is possible when WFP-FAO
collaborate well women in farming couples are invisible overdependence on FHH activities to get good
gender code food for work and training often does not create
equal opportunities for men and women
GENDER ANALYSIS
Discussion: identify the gender dimensions seed food distribution irrigation channel
rehabilitation transport of
food and NFIs pest management
GENDER ANALYSIS - Punjab
Bootaywala: EUFF equipment distributed saves women 183 hr of
work /acre but adds 4 hr to men’s work men get machines/new technology – women get hand tools women spend 2 to 3 hours for each hour men invest in rice
production women invest 30+ workdays weeding each acre of cotton laser leveling would save men 14 hr/acre each cotton crop feminization of agricultural day labour
Ali Pur: M/F different financial coping skills i.e. goat share-
cropping
ROLE of the CLUSTER COORDINATOR
gender analysis in the Needs Assessment (NAF)
ensuring gender is a priority in the Cluster Response Plan
building capacity of IPs to bring gender dimensions into projects
ensuring the vetting team assigns accurate gender codes
enables monitoring to ensure project implementation fulfills the gender code
HQ SUPPORT to FS CLUSTER
gender technical support and mentoring resources for gender analysis equip FAO/WFP staff to be good role models: in design
of good gender projects and assigning gender codes - some donors will judge the cluster based on its coordination projects
assist cluster to create or customize gender tools (SEAGA –IASC) and to improve project design
support for active monitoring of gender outcomes recognize gender leadership in performance reviews
THE GENDER MARKER PAY-OFF
improved targeting to beneficiariespotential for more food production and more effective food aidstronger gender outcomes – using RBMmore cohesive projectsmore potential to attract donors
If women had the same access to productive resources on their farms as men, they could increase yields by 20-30% and lift up to 150 million out of hunger.
On average men comprise 57% and women 43% of the agricultural labour force in developing countries.
Source: SOFA 2010-2011
WEBSITES
www.oneresponse.info/gender
http://ops.unocha.org
www.reliefweb.int/fts