The gender gap is shrinking, unevenly.
Brussels, February 2026.
New EU data is telling a story with two truths that coexist without cancelling each other. Women are gaining ground in science and engineering employment across the Union, and the absolute number of female scientists and engineers has grown strongly over the past decade. At the same time, the distribution of that progress is sharply uneven across regions and sectors. The result is a map where headline advances can hide stubborn structural filters.
At the EU level, women account for a little over two fifths of scientists and engineers, a share that continues to climb as the workforce expands. The increase is not only symbolic, it is labor market scale, meaning millions of roles and a growing pipeline that is already shaping research capacity and innovation output. Yet the average can be misleading, because it blends regions where women are the clear majority with regions where they remain close to a third of the workforce. That dispersion matters because it affects where talent clusters, where firms invest, and which regions become magnets for the next generation.
One number drew attention because it breaks the typical continental pattern. Canary Islands recorded the highest share of female scientists and engineers among EU regions, at 58.8%, a majority that is not marginal but decisive. Two other island regions follow closely, Azores at 57.3% and Madeira at 56.4%, forming a top tier where women are not “included” but numerically dominant. Those figures matter because they challenge the default assumption that higher technical representation is always concentrated in the largest continental hubs. They also suggest that regional ecosystems, not only national policies, can shape who enters and stays in technical careers.
The inverse side of the map is equally instructive and politically sensitive. Some of the lowest shares were recorded in Közép-Magyarország at 30.0%, Manner-Suomi at 30.7%, and Sud at 31.1%. These are not small gaps, they are structural differences that imply different recruitment cultures, different sector mixes, and different retention dynamics. When a region sits near 30%, it is not dealing with a narrow pipeline issue, it is dealing with a system that selects and filters talent long before the hiring stage.
Sector composition is one of the simplest explanations and one of the hardest to change quickly. Female representation among scientists and engineers tends to be much higher in services and knowledge intensive services, and far lower in manufacturing. That is not a value judgment about industries, it is a reflection of historical pathways, educational sorting, and how career ladders are built inside firms. When a regional economy leans heavily toward manufacturing, particularly in subfields where engineering cultures remain male coded, the aggregate share of women among scientists and engineers tends to fall.
Why do island regions appear so strongly in the top ranks, and why do certain continental regions lag so clearly. Part of the answer may sit in specialization, including stronger emphasis on health, public services, education linked R and D, and applied science roles that historically attract more women. Another part is institutional density, meaning how universities, laboratories, and public sector employers stabilize careers compared with more volatile private sector ladders. A third element is migration selection, because islands can become both talent attractors and talent filters, shaping their technical workforce in ways that differ from inland regions. None of these factors alone is sufficient, but together they explain why the same EU wide trend can manifest as different local realities.
The policy implication is not simply to celebrate the leading regions or shame the lagging ones. The more useful approach is to treat the variation as evidence about what works in practice. Regions above 50% are proving that parity is not a theoretical future, it is an operational present under the right conditions. Regions near 30% are showing where interventions must start earlier, at school level orientation, mentorship, and gatekeeping in training pathways, long before hiring metrics can move. If policymakers focus only on EU averages, they will miss the structural levers that are clearly visible at the regional level.
For Europe’s competitiveness agenda, this is not a culture war statistic, it is an innovation capacity statistic. A continent that needs more engineers, cybersecurity specialists, applied scientists, and advanced manufacturing talent cannot afford to underuse half its potential workforce. Closing regional gaps is therefore both an equity goal and a resilience goal, especially as strategic industries compete for skills and as demographic aging tightens labor markets. The data is telling Europe that progress is real, yet progress is also contingent, and the next gains will come from redesigning local ecosystems, not from repeating continental slogans.
La narrativa también es poder. / Narrative is power too.