The Cooperation Context Index is a measure of the possibility of cooperation in a country, by analyzing and cross-checking more than 150 international official indexes.

It is based on the Cooperation Science framework and shows a non-performative map of the prevalent condition of cooperation over the seven others: equivalence, trust, care, transparency, freedom, understanding, diversity; and a level of the possibility to establish cooperations in each country analyzed. The results can be consulted in the interactive map, that shows 139 countries with 2017 CCI index data and 39 with the 2016 one, with a total of 178 countries. The impact of every condition of cooperation over the whole index is similar, with the exception of the diversity condition which is currently irrelevant, as its effect depends on the other conditions. Usually high diversity becomes a plus when the CCI index is higher than one. Countries with a CCI value of more than two leverage over the diversity, while countries close to 0 and lower with a high diversity have high risks to generate conflicts.


The list of indexes spans through 2014-2016 data retrieved from online public sources: BTI-Project; EIU - Democracy Index; Ethnologue linguistic diversity by country; Freedom house; Global Corruption Barometer - Transparency International; Global Food Security Index; The World Bank;; UNHCR; SE4ALL; OECD National Accounts data files; Internal Displacement Monitoring Centre; UN Inter-agency Group for Child Mortality Estimation; UN Office on Drugs and Crime's International Homicide Statistics database; UNESCO; UNICEF; WHO; JMP; FAO; U.N. Population Division; Eurostat; Human Trafficking Report; Infoplease refined by internal research; International Budget Partnership; International consortium of investigative journalists; Internet live stats; Pew Research Center RDI; Transparency International; Wikileaks; World Economic Forum; World Press Freedom Index. We will soon openly release the CCI data files.


The CCI is an index based on other indexes. We tried to use as much as we could native indexes, that is, not based on other indexes. This is because it happens sometimes to have composite indexes based on other composite ones, doubling the effect of their internal native components when they are the same. A few of the indices we used, though, even if primitive, could have been influenced by other indexes, political pressures or wrong procedures. The many indices used in our analysis should counterbalance with their variety part of the error generated by these bias.