Composite indicator that includes the following components: Multidimensional Poverty Index, Gender Inequality Index, Income Gini coefficient - Inequality in income or consumption. The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs

The INFORM Epidemic Risk Index is a prototype version of hazard dependent INFORM Risk Index created in 2018. It was developed under the technical lead of the JRC and in close collaboration with WHO for the epidemic components. Through extensive consultation, the WHO identified the underlying risk drivers of epidemic, which enabled the development of a conceptual framework for epidemic risk assessment in countries. JRC developed the INFORM Epidemic Risk Index as an adaptation of the INFORM Risk index, preserving the integrity of the original model. Epidemic Risk Classes ranges from low to very high.

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Average dietary supply adequacy

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Composite indicator that includes the following components: Current health expenditure per capita, PPP (current international $) Proportion of the target population with access to three doses of diphtheria-tetanus-pertussis (DTP3) (%) Proportion of the target population with access to measles-containing-vaccine second dose (MCV2) (%) Proportion of the target population with access to pneumococcal conjugate third dose (PCV3) (%) Density of physicians (per 1,000 population) Ratio of maternal deaths per 100,000 live births The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs

The INFORM Epidemic Risk Index is a prototype version of hazard dependent INFORM Risk Index created in 2018. It was developed under the technical lead of the JRC and in close collaboration with WHO for the epidemic components. Through extensive consultation, the WHO identified the underlying risk drivers of epidemic, which enabled the development of a conceptual framework for epidemic risk assessment in countries. JRC developed the INFORM Epidemic Risk Index as an adaptation of the INFORM Risk index, preserving the integrity of the original model. The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs

Composite indicator that includes the following values: Literacy rate, adult total (% of people ages 15 and above) Access to electricity (% of population) Internet Users (per 100 people) Mobile celluar subscriptions (per 100 people) Road density (km of road per 100 sq. km of land area) People using at least basic sanitation services (% of population) People using at least basic drinking water services (% of population) Current health expenditure per capita, PPP (current international $) Proportion of the target population with access to three doses of diphtheria-tetanus-pertussis (DTP3) (%) Proportion of the target population with access to measles-containing-vaccine second dose (MCV2) (%) Proportion of the target population with access to pneumococcal conjugate third dose (PCV3) (%) Density of physicians (per 1,000 population) Ratio of maternal deaths per 100,000 live births The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs

For the coping capacity dimension, the question is which issues the government has addressed to increase the resilience of the society and how successful its implementation is. The coping capacity dimension measures the ability of a country to cope with disasters in terms of formal, organized activities and the effort of the country’s government as well as the existing infrastructure which contributes to the reduction of disaster risk. It is aggregated by a geometric mean of two categories: institutional and infrastructure. The difference between the categories is in the stages of the disaster management cycle that they are focusing on. If the institutional category covers the existence of DRR programs that address mostly mitigation and preparedness/early warning phase, then the infrastructure category measures the capacity for emergency response and recovery. The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs

For the coping capacity dimension, the question is which issues the government has addressed to increase the resilience of the society and how successful its implementation is. The coping capacity dimension measures the ability of a country to cope with disasters in terms of formal, organized activities and the effort of the country’s government as well as the existing infrastructure which contributes to the reduction of disaster risk. It is aggregated by a geometric mean of two categories: institutional and infrastructure. The difference between the categories is in the stages of the disaster management cycle that they are focusing on. If the institutional category covers the existence of DRR programs that address mostly mitigation and preparedness/early warning phase, then the infrastructure category measures the capacity for emergency response and recovery. The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs

Main non-food, non-energy raw material commodities imported by each country in 2017. The European Commission's (EC) Raw Materials Information System (RMIS) is developed by the Directorate-General (DG) Joint Research Centre (JRC) in cooperation with the DG for Internal Market, Industry, Entrepreneurship and SMEs (GROWTH). The RMIS is the Commission’s reference web-based knowledge platform on non-fuel, non-agricultural raw materials from primary and secondary sources. This section provides an overview of the European raw materials context, the policy mandate that underlies the development of the RMIS, its goal and scope.

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From its establishment in 1963, the Organisation of African Unity (OAU) identified the need for the economic integration of the continent as a prerequisite for economic development. The 1980 Lagos Plan of Action for the Development of Africa, followed by the 1991 treaty to establish the African Economic Community (also referred to as the Abuja Treaty), proposed the creation of regional economic communities (RECs) as the basis for African integration, with a timetable for regional and then continental integration to follow. The Treaty provides for the African Economic Community to be set up through a gradual process, in 6 stages over 34 years, i.e. by 2028.[1] Article 88 of the Abuja Treaty states that the foundation of the African Economic Community is the progressive integration of the activities of the RECs, with the establishment of full continental economic integration as the final objective towards which the activities of existing and future RECs must be geared. A Protocol on Relations between the AEC and the RECs entered into force on 25 February 1998. In 2000, the OAU/AEC Summit in Lomé adopted the Constitutive Act of the African Union, which formally replaced the OAU in 2002. The final OAU Summit in Lusaka from 9 to 11 July 2001 reaffirmed the status of the RECs within the African Union and the need for their close involvement in the formulation and implementation of all programmes of the Union. At the same time, it was recognised that the existing structure of the RECs was far from ideal, with many overlaps in membership. At the Maputo Summit in 2003 the AU Commission was requested to accelerate the preparation of a new draft Protocol on Relations between the African Union and the RECs. Rationalisation of the RECs formed the theme of the July 2006 Banjul summit of the AU.[2] At the July 2007 Accra summit the AU Assembly adopted a Protocol on Relations between the African Union and the Regional Economic Communities.[3] This protocol is intended to facilitate the harmonisation of policies and ensure compliance with the Abuja Treaty and Lagos Plan of Action time frames.

Other SDGs

A composite indicator that includes the following components: Human Development Index Multidimensional Poverty Index Gender Inequality Index Income Gini coefficient - Inequality in income or consumption Public aid per capita Net ODA received (% of GNI) Volume of remittances as a proportion of total GDP (%) The risk score ranges from 0-10, where 10 is the highest risk.

Other SDGs