Meeting demand for data for SDG Economic Indicators: Lessons from Tanzania

1. Meeting demand for data for SDG Economic Indicators: Lessons from Tanzania Paper presented at the Expert Group Meeting on Statistics for Economic Indicators of Sustainable Development Goals Addis Ababa, Ethiopia, 14-16 November 2017 Rose Aiko, Irenius Ruyobya, Daniel Masolwa

2. Outline Case study indicators Approach Indicator value availability and lessons

3. Case study Indicators • 2.a.2 Total official flows (official development assistance plus other official flows) to the agriculture sector; • 7.1.1 Proportion of population with access to electricity; • 8.8.1 Frequency rates of fatal and non-fatal occupational injuries, by sex and migrant status; • 8.5.2 Unemployment rate, by sex, age and persons with disabilities;

4. Case Study Indicators… 8.10.2 Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider; 9.4.1 CO2 emission per unit of value added; 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 percent of the population and the total population; and, 17.1.1 Total government revenue as a proportion of GDP, by source.

5. Approach Data Gap Assessment – SDG indicators alignment with the Five Year Development Plan indicators, and localization Consultations/interviews with source Ministries/Agencies NBS Experience in compilation of data for the indicators

6. Indicator value availability and lessons

7. 2.a.2 Total official flows (official development assistance plus other official flows) to the agriculture sector Information is patchy – may be able to build some information on official flows “on budget” based on sector budget allocations No way at the moment of capturing off budget flows to government agencies, and flows to non-state actors Unable to validate figures provided in the ECA survey (from OECD)

8. 7.1.1 Proportion of population with access to electricity Available through periodic surveys – two main sources (Demographic and Health Survey and HIV and Malaria Indicator Survey ECA Survey indicator values draws from the two surveys above 2010 & 2012 Sometime long periods without data value due to survey budget constraints (e.g. no data for 2013-2015) Required for tracking progress in meeting targets of the Tanzania Power System Master Plan (PSMP) ( Increase access for up to 30% of population by 2015; 50% by 2025; 75% by 2033) New sources of data – household based surveys, but not necessarily same definitions (and different values)

9. 8.8.1 Frequency rates of fatal and non-fatal occupational injuries, by sex and migrant status Data is patchy, not available with disaggregation and/ or definition required for SDG tracking Compilation started in 2012 Suffers from poor information capture (weak enforcement and compliance) and low statistical and data and information management capabilities Needed for policy tracking - National Occupational Safety and Health Policy of 2010

10. 8.5.2 Unemployment rate, by sex, age and persons with disabilities Available from Integrated Labour Force Surveys Used to assess unemployment situation; no specific targets on extent of reduction in unemployment to be achieved Data availability dependent on survey budget availability – latest 2006 then 2014 Jurisdiction issues – Mainland and Zanzibar separately Further analysis possible to compile needed indicator values

11. 8.10.2 Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider Proxy indicator available from Finscope Surveys – currently only relied upon demand side database for the indicator Available for 2006; 2009; 2013 & 2016 Definition not exactly the same as SDG Metadata definition • FinScope Adults 16 years and older having or using financial product to manage financial lives, including from unregulated institutions • SDG 8.10.2 Adults 15 years and older “owning an account” with banks, other financial institutions or mobile money service provider

12. 9.4.1 CO2 emission per unit of value added Five-Year Development Plan, 2016/17 – 2020/21 aims to reduce use of bio mass for fuel and to increase use of clean cooking fuel as part of national effort to reduce contribution to climate change No Nationally approved data for monitoring the indicators for the period however A National Carbon Monitoring Centre Established at Sokoine University in May 2016 – piloting data from emissions from burning of firewood Forest Reference Emissions Levels (2016) submitted to UNFCC for technical assessment

13. 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 percent of the population and the total population Have not been computed at the national level yet World Bank Estimates available for between 2007 HBS and 2012 HBS based on international poverty line Preference for using National Poverty line at the country level – but much lower than the international poverty line Opportunity exists for constructing some indicative figures for Tanzania for the recent years using HBS as well as National Panel Surveys

14. 17.1.1 Total government revenue as a proportion of GDP, by source. Available at the country level, and provided Cover taxes and non taxes (domestic) – not including financing Yearly targets for revenue collection as part of budget policy – aim to reduce reliance on aid flows

15. Asanteni