Mapping SASB Issue “Quality of Education & Gainful Employment” to SDG Goals

Goal 1. End poverty in all its forms everywhere

1.a.2Proportion of total government spending on essential services (education, health and social protection)

1.b.1Proportion of government recurrent and capital spending to sectors that disproportionately benefit women, the poor and vulnerable groups

Goal 2. End hunger, achieve food security and improved nutrition and promote sustainable agriculture

2.3.2Average income of small-scale food producers, by sex and indigenous status

2.a.1The agriculture orientation index for government expenditures

2.b.1Producer Support Estimate

Goal 3. Ensure healthy lives and promote well-being for all at all ages

3.1.1Maternal mortality ratio

3.2.1Under-five mortality rate

3.2.2Neonatal mortality rate

3.4.2Suicide mortality rate

Goal 5. Achieve gender equality and empower all women and girls

5.5.2 Proportion of women in managerial positions

Goal 8. Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training

8.a.1 Aid for Trade commitments and disbursements

Goal 9. Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

9.2.2 Manufacturing employment as a proportion of total employment

9.3.2 Proportion of small-scale industries with a loan or line of credit

Goal 10. Reduce inequality within and among countries

10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population

10.7.1 Recruitment cost borne by employee as a proportion of yearly income earned in country of destination

10.c.1Remittance costs as a proportion of the amount remitted

Goal 17. Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development

17.4.1Debt service as a proportion of exports of goods and services

Note

This mapping is done using an NLP algorithm that approximates the semantic distance between indicators (indicator level mapping).
The SDG indicators presented are the one potentially corresponding, in a direct or indirect way.
Other mapping approaches can be powered with AI and NLP, depending on the purposes and the approach.