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Strengthening the Availability of Sex-Disaggregated Data on Land Ownership
Recommendations for Agricultural Censuses
FAO – UBOS Expert Consultation on “Collecting Sex Disaggregated Data on Land Ownership and Management in
Agricultural Censuses”
Kampala, Uganda, 13-15 May 2014
OUTLINE
•Rationale
•Objectives
•Findings of the Review
•Recommendations for Agricultural Censuses
Rationale
Much of the agricultural policy fails to consider the differences in
resources available to men and women
Improvement in the availability of gender-relevant information is
required to enable gender sensitive decisions for the agricultural
sector
Agricultural land considered a critical asset and the value of sex-disaggregated data on land ownership recognized by the international community
Rationale
•Proportion of population owning land, by sex included in
the Minimum Set of Gender Indicators presented by the
Interagency Expert Group on Gender Statistics and
approved by the 43rd UN Statistical Commission
Rationale
•Share of women and men with secure rights to land,
property, and other assets suggested as one of the
poverty indicators for the Post-2015 Development
Agenda (High-Level Panel of Eminent Persons)
Rationale
International community highlighted the need to identify standards for data collection
•Recommendations for sex-disaggregated data on asset ownership under the EDGE project (UNWomen/UNSD)
• FAO supported the EDGE work on land ownership with specific recommendations for Agricultural Censuses (AC).
OBJECTIVES OF FAO WORK
Propose feasible
recommendations for
the World Census of
Agriculture
(2020 round,
years 2016-25)
Contribute
to the EDGE guidelines
“Measuring assets
ownership from a
gender perspective”
EDGE project
FAO
contribution
Harmonization
Rationale
Why specific recommendations for Agricultural Censuses?
• ACs more limited than surveys in the possibility to include detailed questions → ensure consistency with EDGE proposals and identification of recommendations that are feasible for ACs
•Recommendations have to fit into the World Census of Agriculture Programme guidelines (WCA).
Rationale
Why FAO as leading agency?
• FAO mandated to strengthen the country capacity in generating agricultural statistics. Since 1945, responsible to help countries in their census of agriculture
• FAO is preparing guidelines for the next Round (WCA 2020, 2016-25)
OBJECTIVES OF FAO WORK
Review data collection methods on land ownership and control used in Agric. Censuses and Household Surveys
Define standards for collecting comparable sex-disaggregated data on land ownership / control in Agric. Censuses
Propose practical guidelines on how to incorporate questions in ACs.
Ensure consistency with the EDGE recommendations for Household Surveys
The review
• 105 Agricultural Censuses conducted between 2006 and 2013 (WCA 2010 round).
• Being AC a large scale operation, some countries had still to release reports and documentation at the time of the review.
•Review focussed on the Agricultural Censuses conducted between 2006 and 2013 whose
questionnaires were available to FAO (86 out of 105, 82%)
86
105
Focus
Coverage Coverage affected by questionnaire availability
•Outstanding coverage vis-à-vis the ACs whose questionnaires were available to FAO (red circles)
•Very good coverage vis-à-vis the implemented ACs
•We stopped
when we reached
a ‘saturation’ status
100
93
100 100
71
100
79
87 89
63 63
100
0
10
20
30
40
50
60
70
80
90
100
Africa America, North-Central
America, South Asia Europe Oceania
pe
rce
nta
ge
coverage
coverage (out of documented AC) coverage (out of implemented AC)
Objectives
•Analyse how frequently Sex Disaggregated Data (SDD) on land ownership and management were collected in ACs and review methodologies • Unit of data collection - ie., at what level is the information collected?
• Definition of Ownership – ie., what type of ownership is collected?
• Other SDD data collected in ACs
• Identify good practices (feasibility analysis)
•Review how the Sub-Holder concept was operationalized
Holding level
‘Sex of the holder’ and ‘land tenure of the holding’ available at the holding
level for nearly all the ACs under review… although few reports actually
disseminate the perc. of male/female-headed holdings by land tenure
• High availability of these data
is not surprising: both the items
proposed for inclusion by the
WCA Guidelines for long time
Holding level
Holding data alone can’t disclose the extent to which
women manage and / or own agricultural land.
This can be achieved only with intra-holding level data –
ie., if land management / ownership is collected at the
individual or parcel level
• Availability of sex-disaggregated data (SDD) on land ownership or
management drops sharply and concentrates only in Africa
Why?
Not caused by
the rare inclusion
of parcel modules.
Rather determined by the
rare inclusion of sex of the
parcel manager or owner
in the parcel modules
Intra holding: parcel data
• Sometimes ‘certificate’ appears among the response options for land tenure,
but this does not necessarily mean that the parcel’s manager or owner has
his/her name on the ownership document
• This person could be simply reported to be the manager or the owner of a
parcel for which the household has some form of documentation (not
necessarily in his/her name).
Intra holding: parcel data
• Sex of individuals very frequently collected in ACs (in individual
rosters)
• Land ownership (almost) never collected at the individual level
Frequent inclusion of
sex of individuals in the
rosters suggests
that this module can be
a feasible vehicle
for questions on
ownership of plots
Intra holding: individual data
Sub–holder and Sub–holding
The 2010 World Census of Agriculture introduced the concept of sub-holder to better reflect the role of women on the holding.
Recommended for inclusion under theme 12 (Management of the Holding):
• Sub-Holding: activity or group of activity managed on behalf of
holder
• Sub-Holder: person who manages the sub-holding on the behalf of holder
Sub holders
The review showed that:
1. The concept was rarely used due to ambiguous definitions
2. In the few countries where the concept was used as such (direct questions) results were difficult to interpret
Sub-holder
3. In several countries (Africa) sub-holder became
synonymous of ‘plot/parcel manager’
Source: Niger Agricultural Questionnaire
Recommendations
Recommendations
•Where to insert the questions? •option 1: parcel modules
•option 2: household member rosters
•What ownership/management questions?
•Which indicators?
Recommendations
•Where to insert the questions? •option 1: parcel modules
•option 2: household member rosters
•What ownership/management questions?
•Which indicators?
Where? Plot modules
Ownership and management questions
asked for each plot / parcel
Where ? Plot modules First preference
• Analysis benefits from additional information on plots Not only % of plots owned by men and women, but further crosstabs by area, etc.
• Easier if questionnaire includes also the individual roster Individual codes link plot and individual data → no need for ‘sex’ in the parcel
module
• Both individual and plot level statistics (flexibility) % of plots owned by women out of total plots; or % of women that own a plot out total women
Feasible
• Review showed that 30% of ACs already include a parcel module
Where? individual rosters
Ownership and management questions
asked for each adult individual
Where ? Individual Rosters
Second option (if parcel module not used)
• Analysis can’t benefit from other information on plots
• Only individual level measures % of women that own a plot out total women
• For some questions there are no unique answers
Very feasible Review showed that 70% of ACs includes a roster
Inclusion of land questions in individual rosters is very much consistent with the AC focus
Recommendations
•Where to insert the questions? •option 1: parcel modules
•option 2: household member rosters
•What ownership/management questions?
•Which indicators?
What ?
•Lessons learned from the WCA 2010 suggest not to propose again the sub–holder concept of (too abstract)
•However WCA 2020 will include a theme devoted to intra-household distribution of management roles and land ownership
What?
•Collect the sex of the manager / owner
• collect both management and ownership
• (for ownership) collect land tenure
• (for management) one question suffices, though interesting to investigate different kinds of management rights
• Investigate sole versus joint management / ownership
Sex
•Compulsory information for gender–sensitive analysis
Recommendations
• If individual roster included, use HHID codes to link the parcel modules with the individual roster → no need to collect the sex of the manager / owner
Management
•Consistent with the focus of ACs
• One question on management may suffice, though interesting to investigate different kinds of rights
Recommended data items
plot level
1. identification plot manager(s)
2. identification of person(s) who control
the agric. prod. output
Individual level
1. If the individual manages a plot
2. If the individual controls the agric. prod.
output (revenue)
Ownership
•Allows exploring relationship between management and ownership and understanding issues related to tenure security
Recommended data items
1. Owner identification (use HH ID codes if available)
2. Land tenure status (include ‘certificate’ or ‘title’ among options in order to understand if a formal document exists)
3. Ascertain whose name is on the ownership document (feasibility to be discussed)
Multiple managers /owners
•Women tend to share ownership and management responsibilities with others
• If we don’t consider co-management / co-ownership, we risk to underestimate women’s role in agriculture
Recommendations
• Allow for more than one owner / manager in the plot modules
• Ask the type of management and ownership (sole / joint)
Recommendations
•Where to insert the questions? •option 1: parcel modules
•option 2: household member rosters
•What ownership/management questions?
•Which indicators?
Indicators
• Percentage of plots by sex of the owner and form of ownership (sole/joint; land tenure type)
• Percentage of women that own a plot out of total women (gender asset gap)
• Percentage of women that own a plot out of total owners (share of owners)
• Value of land owned by women / value of the land owned by men (gender wealth gap)
Discussion and questions