OPHI’s collaboration with Community Based Monitoring System (CBMS) in the Philippines has continued with the piloting of OPHI’s Missing Dimensions modules among 500 households in one rural and one urban community in and around Manila. The questionnaire that was administered, in Tagalog, is available here. CBMS seeks to present the preliminary results of this exercise at its annual conference in December. OPHI and CBMS will then design an integrated questionnaire that combines OPHI indicators and the CBMS core questionnaire for a larger data collection exercise in Philippines.
This report presents the findings of the national MPI for Seychelles. The Seychelles MPI was developed by the Poverty Alleviation Department and the National Bureau of Statistics of Seychelles with technical support from the Oxford Poverty and Human Development Initiative (OPHI). As a high-income country, and a Small Island Developing State, the challenges faced by Seychelles in poverty reduction are different from other contexts. Seychelles’ MPI, which includes innovative indicators on obesity, substance abuse and crime, can help policymakers identify those being left behind and target their programmes more effectively.
Key findings include:
- In the third quarter of 2019, the poverty incidence (H) was 11.88%, and the average intensity (A) was 33.26%. The Multidimensional Poverty Index (MPI), which is the product of H and A (H*A) was 0.040.
- Those living in the largest households may be more likely to experience multidimensional poverty (with a headcount ratio of 31.15%), than those living in the smallest households (with a headcount ratio of 4.89%).
- Multidimensional poverty is more prevalent among the unemployed (with a headcount ratio of 57.35%), than among those who are employed and those who are outside the labour force.
- The lower the education level (no schooling), the higher the headcount ratio (34.58%). The same pattern can be observed in the MPI, whereby those with no schooling, has the highest MPI (0.115), and the MPI decreases as the education level increases.
Read more and download the report here.
OPHI Briefing 54 (PDF, 16 pages)
This briefing provides a rapid assessment of vulnerabilities to COVID-19 in sub-Saharan Africa according to three indicators from the 2019 global Multidimensional Poverty Index (MPI). It analyses deprivations in nutrition, drinking water and cooking fuel across 467 subnational regions and 40 countries.
Download the briefing here.
Authors: Sabina Alkire, Jakob Dirksen, Ricardo Nogales and Christian Oldiges.
Citation: Alkire, S., Dirksen, J., Nogales, R. and Oldiges, C. (2020). ‘Multidimensional Poverty and Vulnerability to COVID-19: A Rapid Overview of Disaggregated and Interlinked Vulnerabilities in Sub-Saharan Africa’, OPHI Briefing 54, Oxford Poverty and Human Development Initiative, University of Oxford.
- Poverty and COVID-19
- Emergency Response
- Post-emergency Response
- Country Resources
- Useful Links Concerning COVID-19
This briefing provides an overview of multidimensional poverty in the state of Chhattisgarh in India. According to the global Multidimensional Poverty Index (MPI), Chhattisgarh had a dramatic reduction in multidimensional poverty. Ongoing policy investments will continue that remarkable trend.
- From 2005/6 to 2015/16, the multidimensional poverty rate was cut from 70% to 37%, bringing 7 million people out of poverty.
- The MPI for Chhattisgarh was more than halved (from 0.355 to 0.153) during that decade.
- In 2005/6 it was the fifth poorest state; in 2015/16 it had improved to seventh poorest.
- Huge strides were made in reducing undernutrition, inadequate sanitation, solid cooking fuel, housing materials, and assets. All 10 MPI indicators had significant reductions.
- The changes were pro-poorest. Those living in rural areas, children, and members of Scheduled Tribes are the poorest groups, and all these groups reduced MPI the fastest. They are not being left behind but are catching up.
- Yet in 2015/16, 37% of people – 11 million – were still MPI poor, and 93% of these live in rural areas and 5.1 million were members of Scheduled Tribes. One quarter of poor people are children under 10 years of age.
- District-level poverty varies. The poorest districts are Bastar, Narayanpur, and Dakshin Bastar Dantewada.
- Ending multidimensional poverty requires integrated investments in nutrition (especially for children), improved housing materials, clean energy, and adequate sanitation.
Download the briefing here.
This short report is based on the Multidimensional Poverty Index (MPI) developed by the Oxford Poverty and Human Development Initiative (OPHI) n collaboration with the Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
The report contains well-designed infographics presenting the MPI constructed especially for Andhra Pradesh. The MPI is based on survey conducted in 2016–17 using an effective sample of 12,325 households and 43,664 household members across all districts in the State.
Download the report here.
- MD Poverty Index 2019: Seychelles (2020)
- MD Poverty in Chhattisgarh (2020)
- Child MD Poverty in Thailand (2019)
- How to Build … (2019)
- Global MPI 2019
- Sierra Leone MPI 2019
- Afghanistan MPI 2016/17
- The Global MPI 2018
- Nepal MPI 2018
- Bhutan MPI 2017
- Drèze 2017
- Arab MD Poverty Report 2017
- Andhra Pradesh MPI 2017
- MD Poverty in Pakistan (2016)
- MD Poverty Measurement and Analysis (2015)
- An Extensive Analysis of GNH Index (2012)
- GNH and GNH Index (2012)
OPHI Briefing 53 (PDF, 8 pages)
Multidimensional poverty data and measurement are key allies in confronting the threat posed by the COVID-19 pandemic. Formulating an effective response to this global crisis requires an understanding of the overlapping deprivations faced by people in the developing world, deprivations that can result in increased vulnerability to COVID-19. The global Multidimensional Poverty Index (MPI) provides clear, immediate evidence of these interlinked deprivations, making interventions more effective, high impact, and durable.
This briefing uses the global MPI database for 2019, which covers 101 countries and 5.7 billion people in the developing world, to show at a glance some surprising but critical facts for the COVID-19 response
Download the Briefing here.
Authors: Sabina Alkire, Jakob Dirksen, Ricardo Nogales and Christian Oldiges
Citation: Alkire, S., Dirksen, J., Nogales, R., and Oldiges, C. (2020). ‘Multidimensional poverty and COVID-19 risk factors: A rapid overview of interlinked deprivations across 5.7 Billion People’, OPHI Briefing 53, Oxford Poverty and Human Development Initiative, University of Oxford.