Data & Findings

Evidence and patterns, shown with their sample size.

Every chart below is drawn from the Opportunity Lens interview sample. Analysis is exploratory and descriptive — it does not claim to represent an entire country or population.

REQUIRED READING

Based on the Opportunity Lens interview sample (n = 10+, growing). This exploratory sample is not nationally representative. Full methodology and limitations are documented on the Methodology page.

Which economic barriers appear most often?

Counts and percentages below are illustrative placeholders, pending final coding of the full interview set. Each will show count, percentage, and n once analysis is complete.

CodeBarrierMentions (of n interviews)
B01Tuition / program fees— pending coding —
B07Scholarship availability / uncertainty— pending coding —
B08Family financial pressure— pending coding —
B09Need to work— pending coding —
B04Visa / immigration costs— pending coding —

Where interview participants are, and what barriers appear.

Built with Flourish and embedded here once the dataset is reviewed. The map will never imply that participants represent their whole country — only that a specific participant, in a specific place, reported a specific barrier.

PLACEHOLDER

Map embed goes here.

How a constraint can translate into a choice.

A qualitative, sample-derived pathway — not a statistical model — showing how barriers reported in interviews connect to the decisions students describe making.

B07
Scholarship uncertainty →
D04
Required financial aid to proceed
D01
Sometimes followed by a change in country

How important is funding to the decision?

Categories are defined and applied consistently: Essential, Important, Low, or None — assigned only where the participant's own words support it.