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Strehngthening Partnerships
and Coordination
for SDG Monitoring
Pietro Gennari
FAO – Chief Statistician
0
Address structural
DATA GAPS
(100 indicators with
no data; 70 with less
than 50% country
coverage)
Many NEW
INDICATORS to be
established in
domains not
covered by official
statistics
DATA
DISAGGREGATION
methodology to
be developed to
obtain more
granular data
ALIGNMENT of
NATIONAL and
GLOBAL
INDICATORS
Use of
ALTERNATIVE
DATA SOURCES to
reduce the cost
of data collection
INSTITUTIONAL
COORDINATION
for multiple
Data Producers
NEW Quality
Assurance role
for the NSO
Analytical
capacity to USE
SDG INDICATORS
IN DECISION-
MAKING
What are the CAPACITY
DEVELOPMENT NEEDS? Mainstreaming
SDG Indicators
in NATIONAL
STATISTICAL
PLANNINGCross-cutting
Sectoral
Cape Town Global Action Plan for Sustainable Development Data:
① Prepared by the High-level Group for Partnership, Coordination and Capacity-
Building for Statistics for the 2030 Agenda (country-led)
② Adopted by the UN Statistical Commission at its 48th Session in 2017
③ Referenced in the Resolution on the work of the Statistical Commission adopted by
the General Assembly in July 2017
④ Provides a comprehensive framework for planning and implementing statistical
capacity-building pertaining to the 2030 Agenda. Not meant for establishing a
Global Trust Fund. Up to agencies to prepare implementation plans.
⑤ Statistical capacity development initiatives by Int. Agencies aligned with Global
Action Plan are demand-driven
2
Capacity Dev. for SDG monitoring: Supply Driven?
① Strategic Area 1: Coordination and strategic leadership on data for sustainable
development
② Strategic Area 2: Innovation and modernization of national statistical systems
③ Strategic Area 3: Strengthening of basic statistical activities and programmes,
with particular focus on addressing the monitoring needs of the 2030 Agenda
④ Strategic Area 4: Dissemination and use of sustainable development data
⑤ Strategic Area 5: Multi-stakeholder partnerships for sustainable development
data
⑥ Strategic Area 6: Mobilize resources and coordinate efforts for statistical
capacity building
3
Global Action Plan for Sustainable Development Data-1
Strategic Area 3: Strengthening of basic statistical activities and programmes, with
particular focus on addressing the monitoring needs of the 2030 Agenda
① Objective 3.1: Strengthen and expand household survey programmes, integrated survey systems,
business and other economic survey programmes, population and housing census programmes,
civil registration and vital statistics programmes and the ICP….
② Objective 3.2: Improve the quality of national statistical registers and expand the use of
administrative records integrating them with data from surveys and other new data sources…
③ Objective 3.3: Strengthen and expand System of National Accounts and the System of
Environmental Economic Accounts
④ Objective 3.4: Integrate geospatial data into statistical production programmes at all levels
⑤ Objective 3.5: Strengthen and expand data on all groups of population to ensure that no one is
left behind
⑥ Objective 3.6: Strengthen and expand data on domains that are currently not well developed
within the scope of official statistics
4
Global Action Plan for Sustainable Development Data-2
Each SDG indicator associated to (at least) 1 Custodian Agency, responsible for:
① Develop the methodology and related guidelines & documentation
② Lead Statistical capacity development efforts
③ Collect national data, harmonize & disseminate them at Global level
④ Produce global progress reports & support countries for National SDG Reports
and Voluntary National Reviews
Coordination across Custodian Agencies:
① Data collection requests for a specific indicator only from custodian agencies
(Guidelines on global SDG data flows)
② Similarly, Statistical Capacity Development initiatives for a specific indicator
should also be led custodian agencies to avoid duplication of efforts
5
Role of International Organizations in SDG monitoring
FAO’S Strategy of
Capacity Development Support
1
2
3
4
5
Methodological development and testing of Tier III indicators
and of data disaggregation techniques
Data gap assessment and alignment of national & global
indicators
Supporting implementation of new data collection tools
Supporting countries in the adoption of FAO-SDG indicators
Improving analysis & use of FAO-SDG indicators in
decision-making
FAO-UNSD-UNWOMEN: Introduction of a module with a limited number of questions
in the questionnaire of a nationally representative survey:
① 2.1.2 - Prevalence of moderate or severe food insecurity
② 5.a.1 - Women’s ownership of agricultural land
FAO-WB-IFAD-ISTAT: Development of an integrated agricultural and household survey
proramme to collect key environmental, social &economic data on the farms:
① 2.3.1/2.3.2 – Productivity and Income of small-holders
② 2.4.1 – Proportion of agricultural area under productive and sustainable agriculture
FAO-GEOGLAM-ESA: Use of geospatial images for producing land cover/use statistics
as critical source for a number of SDG indicators and improved agricultural statistics:
① 15.1.1 - Forest area as a proportion of total land area; 15.3.1 – Proportion of land
that is degraded over total land area; 15.3.1 – Mountain Green Cover Index
7
Partnerships for sectoral initiatives
FAO-PARIS21: Mainstreaming SDG indicators in the NSDS:
① Upgrade sectoral and national statistical master plans to ensure that the SDG
indicators can be regularly produced in a sustainable way. Bottom-up approach.
FAO-WB: Promoting the use of SDG indicators in decision-making:
① Help countries to adopt the legal, methodological and software tools to publish
microdata of agricultural surveys & censuses
② Enable users and researchers to access government data and to use them for
producing policy-relevant analyses.
8
Partnerships for cross-cutting initiatives

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Pietro Gennari, Strehngthening Partnerships and Coordination for SDG Monitoring

  • 1. Strehngthening Partnerships and Coordination for SDG Monitoring Pietro Gennari FAO – Chief Statistician 0
  • 2. Address structural DATA GAPS (100 indicators with no data; 70 with less than 50% country coverage) Many NEW INDICATORS to be established in domains not covered by official statistics DATA DISAGGREGATION methodology to be developed to obtain more granular data ALIGNMENT of NATIONAL and GLOBAL INDICATORS Use of ALTERNATIVE DATA SOURCES to reduce the cost of data collection INSTITUTIONAL COORDINATION for multiple Data Producers NEW Quality Assurance role for the NSO Analytical capacity to USE SDG INDICATORS IN DECISION- MAKING What are the CAPACITY DEVELOPMENT NEEDS? Mainstreaming SDG Indicators in NATIONAL STATISTICAL PLANNINGCross-cutting Sectoral
  • 3. Cape Town Global Action Plan for Sustainable Development Data: ① Prepared by the High-level Group for Partnership, Coordination and Capacity- Building for Statistics for the 2030 Agenda (country-led) ② Adopted by the UN Statistical Commission at its 48th Session in 2017 ③ Referenced in the Resolution on the work of the Statistical Commission adopted by the General Assembly in July 2017 ④ Provides a comprehensive framework for planning and implementing statistical capacity-building pertaining to the 2030 Agenda. Not meant for establishing a Global Trust Fund. Up to agencies to prepare implementation plans. ⑤ Statistical capacity development initiatives by Int. Agencies aligned with Global Action Plan are demand-driven 2 Capacity Dev. for SDG monitoring: Supply Driven?
  • 4. ① Strategic Area 1: Coordination and strategic leadership on data for sustainable development ② Strategic Area 2: Innovation and modernization of national statistical systems ③ Strategic Area 3: Strengthening of basic statistical activities and programmes, with particular focus on addressing the monitoring needs of the 2030 Agenda ④ Strategic Area 4: Dissemination and use of sustainable development data ⑤ Strategic Area 5: Multi-stakeholder partnerships for sustainable development data ⑥ Strategic Area 6: Mobilize resources and coordinate efforts for statistical capacity building 3 Global Action Plan for Sustainable Development Data-1
  • 5. Strategic Area 3: Strengthening of basic statistical activities and programmes, with particular focus on addressing the monitoring needs of the 2030 Agenda ① Objective 3.1: Strengthen and expand household survey programmes, integrated survey systems, business and other economic survey programmes, population and housing census programmes, civil registration and vital statistics programmes and the ICP…. ② Objective 3.2: Improve the quality of national statistical registers and expand the use of administrative records integrating them with data from surveys and other new data sources… ③ Objective 3.3: Strengthen and expand System of National Accounts and the System of Environmental Economic Accounts ④ Objective 3.4: Integrate geospatial data into statistical production programmes at all levels ⑤ Objective 3.5: Strengthen and expand data on all groups of population to ensure that no one is left behind ⑥ Objective 3.6: Strengthen and expand data on domains that are currently not well developed within the scope of official statistics 4 Global Action Plan for Sustainable Development Data-2
  • 6. Each SDG indicator associated to (at least) 1 Custodian Agency, responsible for: ① Develop the methodology and related guidelines & documentation ② Lead Statistical capacity development efforts ③ Collect national data, harmonize & disseminate them at Global level ④ Produce global progress reports & support countries for National SDG Reports and Voluntary National Reviews Coordination across Custodian Agencies: ① Data collection requests for a specific indicator only from custodian agencies (Guidelines on global SDG data flows) ② Similarly, Statistical Capacity Development initiatives for a specific indicator should also be led custodian agencies to avoid duplication of efforts 5 Role of International Organizations in SDG monitoring
  • 7. FAO’S Strategy of Capacity Development Support 1 2 3 4 5 Methodological development and testing of Tier III indicators and of data disaggregation techniques Data gap assessment and alignment of national & global indicators Supporting implementation of new data collection tools Supporting countries in the adoption of FAO-SDG indicators Improving analysis & use of FAO-SDG indicators in decision-making
  • 8. FAO-UNSD-UNWOMEN: Introduction of a module with a limited number of questions in the questionnaire of a nationally representative survey: ① 2.1.2 - Prevalence of moderate or severe food insecurity ② 5.a.1 - Women’s ownership of agricultural land FAO-WB-IFAD-ISTAT: Development of an integrated agricultural and household survey proramme to collect key environmental, social &economic data on the farms: ① 2.3.1/2.3.2 – Productivity and Income of small-holders ② 2.4.1 – Proportion of agricultural area under productive and sustainable agriculture FAO-GEOGLAM-ESA: Use of geospatial images for producing land cover/use statistics as critical source for a number of SDG indicators and improved agricultural statistics: ① 15.1.1 - Forest area as a proportion of total land area; 15.3.1 – Proportion of land that is degraded over total land area; 15.3.1 – Mountain Green Cover Index 7 Partnerships for sectoral initiatives
  • 9. FAO-PARIS21: Mainstreaming SDG indicators in the NSDS: ① Upgrade sectoral and national statistical master plans to ensure that the SDG indicators can be regularly produced in a sustainable way. Bottom-up approach. FAO-WB: Promoting the use of SDG indicators in decision-making: ① Help countries to adopt the legal, methodological and software tools to publish microdata of agricultural surveys & censuses ② Enable users and researchers to access government data and to use them for producing policy-relevant analyses. 8 Partnerships for cross-cutting initiatives