How the numbers are made

Definitions, methodology, limits, and how to request the data

Everything FAYA publishes comes from somewhere, and every dataset has a point where it stops being reliable. This page says where both of those are.

How impact is measured

FAYA measures its work against a results framework built on a theory of change. Results are tracked at three levels: outputs, what the programme delivers; outcomes, what changes as a result; and impacts, the long-term effect on nature and on people.

Wherever a recognised international indicator exists, FAYA uses it rather than inventing one. Indicators are drawn from the IRIS+ Catalogue of Metrics published by the Global Impact Investing Network and from the UN Sustainable Development Goals. Where no standard indicator was precise enough for this programme, FAYA defined its own, and those are marked separately in the framework.

Indicators are disaggregated by gender, age and community where that is relevant.

How the data is collected

Member data is recorded during registration, in line with the data protection regulations of São Tomé and Príncipe.

Environmental data comes from three sources:

1. Satellite imagery
2. Drone surveys
3. Field work. Field work includes camera traps, AudioMoths, mist nets and pitfall traps, carried out in partnership with Fundação Príncipe.

Coverage is not uniform. It varies by dataset, by location and by year, and layers are revised as new field collection is completed.

Limits of the data

FAYA relies on the accuracy of the information provided by people joining the programme, and has not had access to national census data to corroborate it.

Incomes are recorded in bands. The figures used in analysis are the mid-points of those bands and are therefore estimates.

FAYA believes the membership over-represents lower income groups, because the eligibility rules exclude many higher earners who have not lived on Príncipe long enough to qualify.