1. National Bureau of Statistics
Leaving No One Behind
Integration of Data Produced by Various Sources to Produce SDGs Indicators
Tanzania Experience

2. National Bureau of Statistics
Tanzania Country Profile
Important Statistics:-
Land Area : 945,087 Square Km
Total Pop. (2017) = 52 million people
Life expectancy at birth: 62 yrs
Pop growth rate: 2.7
GDP growth rate: 7.0 (2016)
Annual Av. Inflation Rate (2016): 5.2%
Pop. Below basic needs: 28.2%
VISION OF NIC
To be a sustainable and ………………………………….. Vision : To be a sustainable and dynamic Irrigation Commission that is a driving force in transforming agriculture into a stable and competitive sector in the country
MISION OF NIC
SWEA/Nairobi/2013

3. Integration of Data Produced by Various Sources to Produce SDGs Indicators
Outline
Tanzania’s Data Ecosystem
SDGs Data Gaps Assessment
Data Innovations in Tanzania towards SDGs implementation
Challenges
The Way Forward

4. Integration of Data Produced by Various Sources to Produce SDGs Indicators
1. Tanzania’s Data ecosystem – Key Actors
A data ecosystem is the complex system of relationships between data producers, suppliers and users; it also include Research and Training Institutions
Key Actors in NSS
MDAs
Service delivery data
BIG DATA
CSOs
LGAs
Socio economic data
Service delivery
and Planning data
NBS
Official Statistics
Research Inst.
DPs
Specialised data
National and International data
Private Sector
CGD
EOB
Business and economic data

5. Official Statistics Includes statistics produced by: NBS
Integration of Data Produced by Various Sources to Produce SDGs Indicators
1. Tanzania’s Data ecosystem – Highlight on Legal Framework..
The NBS is mandated by the Statistics Act, 2015 to coordinate production of Official Statistics within the NSS.
Official Statistics Includes statistics produced by:
NBS
Government Institutions; and
agencies*.
*Statistics produced by agencies (Research Institutions, NGOs, DPs or any other person) shall qualify to be official statistics if they meet the criteria and standards set by the NBS and approved by the DG.

6. Integration of Data Produced by Various Sources to Produce SDGs Indicators
1. Tanzania’s Data ecosystem – Highlight on Legal Framework ..
Tanzania’s Statistical Act, 2015 insists on a need for provision of high quality, reliable and timely official statistical information to the public.
NBS provides methods, standards, concepts and definitions for the production of official statistics and to also regulate the official information.
NBS is responsible for issuing code of practice for official statistics including setting up professional standards to be followed by all agencies authorized to produce official statistics

7. Integration of Data Produced by Various Sources to Produce SDGs Indicators
1. Tanzania’s Data ecosystem – Highlight on Legal Framework ..
In general, the Act provides both challenges and opportunities in production of Official Statistics
On opportunities: NBS can collaborate with other actors such as academia, private sector and CSOs in production of Official Statistics;
This opportunity is consistent with the philosophy of the Post-MDG Agenda, which calls for a need to engage multiple actors in data generation for monitoring the SDGs through the Data Revolution.
Challenge:- The issue of Big Data Ecosystem..CGD...in Tanzania is not well covered which may result into delay in terms of usage and analysis these kind of data sources.

8. Integration of Data Produced by Various Sources to Produce SDGs Indicators
1. Tanzania’s Data ecosystem - Experience with MDGs Monitoring
The Data ecosystem showed some mixed experiences;
it proved to be successful in MDGs for some indicators such as education-related targets where data was readily available from multiple sources and at a reasonable frequency
On other hand, it proved to be challenging on some indicators, especially, those related to environmental and some of health-related dimensions
Generally, the systems was generating data with either huge lags, with some quality concerns or unavailable all together

9. Integration of Data Produced by Various Sources to Produce SDGs Indicators
1. Tanzania’s Data ecosystem - Experience with MDGs Monitoring ..
The review of MDG experiences reveals some issues, which serve as the lessons to inform Tanzania data ecosystem for SDGs
The need for strengthening existing Tanzania Data Ecosystem through Data Revolution
Alignment of global and national development agendas is important for better monitoring and development outcomes
Data Ecosystem for SDGs should be inclusive in a sense that nobody is left behind - data should be available in disaggregated forms representing different population groups
Enhancement of statistical capacity within NSS to ensure quality of data produced
The data ecosystem should have a clear demarcation between what is to be monitored at different levels such as sub national level, nationally, regionally and globally to avoid confusions in reporting progress

10. Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment
- Engagement with Data Communities within NSS
Two National Workshops conducted:-
Awareness Creation
Creating ownership of the SDGs
Build partnerships with stakeholders
Plan for National Data Roadmap dev.
Participants:
The Government,
Civil Society Organizations ,
Academic Institutions, Research Institutions,
Private Sector, Development Partners and
other international collaborators

11. Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment ..
-Engagement with Data Communities within NSS
Training and workshops on ADAPT for SDGs data gap assessment
Domestication of SDGs and preparation for preliminary results
Development of M&E Framework for FYDP II with Planning Commission
SDGs awareness seminars for all LGAs by PED;
Development of draft SDGs baseline report, 2016 by PED
Ongoing preparations for development of a SDGs, AU 2063 Development Agenda , EAC Vision 2050 and FYDPII data visualization platform

12. Integration of Data Produced by Various Sources to Produce SDGs Indicators
SDGs Data Gaps Assessment ..
-Engagement with Data Communities within NSS
NBS in collaboration with the UN Women, line Ministry and other Partners conducted the first thematic forum on SDGs focusing on Gender Data, in May, 2017
Data dive workshops for Open Data Portal; Health, Water, Education and Agriculture Sectors.

13. Phase-III Mapping and Domestication of FYDP II Indicators with SDGs
Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment - Domestication of SDGs - Phases ..
Phase-IV Higher Level Data Validation, reconciliation and Mult -stakeholder Engagement
Phase-I
Data entry for all Available FYDP II indicators and Metadata into the ADAPT; NBS, MoFP and dLAB
Phase-II
Development of Missing FYDP II Metadata and Data entry into the ADAPT –MDAs, NBS, MoFP and dLAB
Phase-III Mapping and Domestication of FYDP II Indicators with SDGs

14. FYDP II Indicators into the ADAPT
Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment - Domestication of SDGs ..
FYDP II Indicators into the ADAPT
The FYDP II has 282 indicators classified into four themes
Out of 282 indicators of the FYDP II; only 39% are produced by the NBS, (Census and Surveys)
61% are produced by MDAs and other data producers in NSS
Need to strengthening routine data collection systems within the NSS to fill the data gaps

15. Availability of metadata for FYDP II
Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment - Domestication of SDGs ..
Availability of metadata for FYDP II
Metadata are vital in making decisions during the mapping exercise
41% of all FYDP II indicators had metadata already
59% required extra effort and resources for development

16. Distribution of Mapped SDGs Indicators with FYDP II and OII
Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment - Domestication of SDGs ..
Distribution of Mapped SDGs Indicators with FYDP II and OII
Out of 244 SDGs indicators 165 indicators (68%) have been mapped with the FYDP II indicators and OII either fully or partially
Out of the mapped SDGs indicators, 38% have been mapped with the FYDP II indicators and 30% with the OII
Only 5 (2% )of SDGs indicators identified to be Not Applicable to Tanzanian context
OII-Other Identified Indicators

17. Distribution of Mapped SDGs Indicators with FYDP II and OII
Integration of Data Produced by Various Sources to Produce SDGs Indicators
2. SDGs Data Gaps Assessment - Domestication of SDGs ..
Distribution of Mapped SDGs Indicators with FYDP II and OII
Out of 244 SDGs indicators 37% are fully mapped with the FYDP II or OII and 31% partially mapped
Both 30% of unmapped SDGs indicators and 31% of partially mapped indicators calls for additional resources to fill the gaps

18. Integration of Data Produced by Various Sources to Produce SDGs Indicators
3. Data Innovations in Tanzania towards SDGs implementation
Data innovation is particularly crucial in the current development era to ensure sustainability. Advance in technologies has made it easy and cheap to collect, store, analyze, use and disseminate data
Various initiatives for data innovation take place in Tanzania, particularly on the data sharing and providing access to data both by the government and non- government actors
There has been some innovation in the actual data collection…use of ICT based instruments such as tablets and smart phones for timely, accurate and high quality data to monitor SDGs across various actors

19. Integration of Data Produced by Various Sources to Produce SDGs Indicators
3. Data Innovations in Tanzania towards SDGs implementation ..
Specific initiatives includes;
(i) Tanzania Data Lab (D-Lab) project which is guided by four pillars:-
Engagement,
Capacity Building,
Resources, and
Public/CSOs Dialogue
The D-lab project recognizes a need for;
awareness raising and building linkages with the Open Data Community
capacity building through training
enhancing open data access through open portal to promote and use data generated by CSOs…in collaboration with NBS as per St.Act, on officiating data generated at CSO level

20. Integration of Data Produced by Various Sources to Produce SDGs Indicators
3. Data Innovations in Tanzania towards SDGs implementation ..
(ii) Tanzania Open Data Initiative
This is a government initiative (portal) to enhance access to data in key social sectors of health, education, water and Agriculture; also statistics from the Census and Surveys conducted by the NBS ..More Sectors will be added in phases
(iii) Tanzania Socio-economic Database (TSED).
The database captures official statistics from MDAs on various socio-economic indicators. The TSED, varying by data sources, allows disaggregation of data at national, district and sub-district level. The database also provides web dashboard for quick analysis on key indicators.

21. Integration of Data Produced by Various Sources to Produce SDGs Indicators
3. Data Innovations in Tanzania towards SDGs implementation ..
(iii) Disability Statistics Database
It provides data for population with disabilities including employment,
earnings, education and household income. The database which comprise
These information include, ILFS; HBS; PHC; NPS and Disability Survey.
(iv) Tanzania National Data Archive (TNADA).
The Database provides Basic Statistics and micro data from Agricultural Sample Census, Construction Industry sector, Business Register Survey; and Employment and Earnings Surveys and others.
(v) Africa Information Highway
Provides socioeconomic data at regional level including Tanzania

22. Integration of Data Produced by Various Sources to Produce SDGs Indicators
3. Data Innovations in Tanzania towards SDGs implementation ..
(v) Food and Agricultural Statistics.
This is a statistical framework and applied information system for statistical data and metadata on food and agriculture originating from different sources.
Local Government Monitoring Database (LGMD)
This is a Government system designed for the Local Government Authorities and
Regional Government and the ministry responsible for RALG to monitor pro-poor
sectors - health, agriculture, education, water, roads and lands.
(vii) Sector/Thematic based MIS
These exist in sectors, such as water (e.g. water point mapping), education (e.g. BEST), health, etc.

23. Integration of Data Produced by Various Sources to Produce SDGs Indicators
4. Challenges
Data Gaps:
Level of data disaggregation – no one is left behind??
Frequency of data production
Data Quality particularly Administrative Data
Unreliable Routine Data Collection Systems
Lack of interoperable data management systems within NSS
Inadequate mobilisation of financial resources
Policy incoherence
Big Data concept is still new in Tanzania which needs more capacity for statistician for quality data in monitoring SDGs

24. Integration of Data Produced by Various Sources to Produce SDGs Indicators
5. The Way Forward
Finalize domestication of SDGs including higher level data validation, reconciliation and costing for data production in ADAPT
Development of SDGs, AU 2063 and FYDP II visualisation portal and reporting platform.
Mobilising political and fiscal commitment for the data for development agenda in Tanzania.
Convene high level meeting on data for development in Tanzania for mobilising support From Government Leaders
Convene a data ecosystem funders’ meeting to discuss prospect of a multi- stakeholder fund for the Tanzania Data Development Strategy

25. Integration of Data Produced by Various Sources to Produce SDGs Indicators
5. The Way Forward..
Convening of thematic meetings to discuss SDG, AU 2063 and FYDP II data gaps and partnerships to address them:-
Theme 1: Poverty Reduction and Human Development (Goal 1, 2, 3, 4, 6 & 10)
Theme 2: Economic growth, Employment, and Competitiveness (Goal 7, 8, & 9)
Theme 3: Environmental Sustainability (Goals 12, 13, 14 & 15)
Theme 4: Sustainable Cities and Communities (Human Settlement, Housing and Population Infrastructure) (Goal 11)
Theme 5: Governance Peace & Security (Goals 16)
Theme 6: Gender Parity (Goal 5)

26. Integration of Data Produced by Various Sources to Produce SDGs Indicators
5. The Way Forward..
Finalise TSMP phase I review and development of phase II
Strengthening the Private Public Partnership in the context of SDGs including CSOs and FBOs

27. Integration of Data Produced by Various Sources to Produce SDGs Indicators
Integrate Data Produced by Various Sources to Bridge the Key Gaps in SDGs Implementation
Leaving No One Behind
Asanteni!