The G20Evidence into Action
Closing paper: comparing the 19 G20 economies and what to do with the data
The binding gap differs by band. In the Visible band the weakest dimension is most often enterprise and legal rights (4 of 7). In the Emerging band the weakest dimension is most often institutional visibility (5 of 8). In the Partial band the weakest dimension is most often institutional visibility (3 of 3). In the Hidden band the weakest dimension is most often institutional visibility (1 of 1).
Reported research measures. Animation reveals the graphic; it does not represent change over time.
Abstract
The same 13-indicator index applied to the 19 sovereign members of the G20; the European Union and African Union are not scored
The 19 economies fall into four bands: Visible (80 and above): United Kingdom, France, Australia, Canada, Germany, United States, Italy (81.0 to 91.1); Emerging (65 to 79): Argentina, South Africa, Brazil, Mexico, China, South Korea, Russia, Japan (67.7 to 78.9); Partial (50 to 64): Indonesia, Turkiye, Saudi Arabia (51.8 to 64.5); Hidden (below 50): India (47.5 to 47.5). Across seven weighting schemes 14 of the 19 economies keep their rank within two places: United Kingdom, France, Australia, Canada, Germany, United States, Italy, South Africa, South Korea, Japan, Indonesia, Turkiye, Saudi Arabia, India.
The binding gap differs by band. In the Visible band the weakest dimension is most often enterprise and legal rights (4 of 7). In the Emerging band the weakest dimension is most often institutional visibility (5 of 8). In the Partial band the weakest dimension is most often institutional visibility (3 of 3). In the Hidden band the weakest dimension is most often institutional visibility (1 of 1).
Download full paper PDFSummary of dimension scores
| Dim | Mean | Median | Lowest | Highest |
|---|---|---|---|---|
| D1 | 0.798 | 0.851 | 0.452 (Saudi Arabia) | 0.961 (Australia) |
| D2 | 0.867 | 0.915 | 0.578 (India) | 0.962 (United States) |
| D3 | 0.694 | 0.723 | 0.362 (India) | 0.913 (France) |
| D4 | 0.624 | 0.640 | 0.331 (India) | 0.922 (Canada) |
| D5 | 0.765 | 0.764 | 0.563 (Japan) | 1.000 (Mexico) |
Rank under seven weighting schemes
| Economy | Base | Equal | Entropy weight | First principa | Labour-heavy | Institution-he | Drop D5 |
|---|---|---|---|---|---|---|---|
| United Kingdom | 1 | 1 | 1 | 1 | 1 | 1 | 2 |
| France | 2 | 2 | 2 | 2 | 2 | 2 | 1 |
| Australia | 3 | 3 | 4 | 3 | 3 | 3 | 3 |
| Canada | 4 | 4 | 3 | 4 | 4 | 4 | 4 |
| Germany | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| United States | 6 | 6 | 6 | 6 | 6 | 6 | 6 |
| Italy | 7 | 7 | 7 | 7 | 7 | 7 | 7 |
| Argentina | 8 | 9 | 11 | 9 | 9 | 11 | 10 |
| South Africa | 9 | 8 | 8 | 8 | 8 | 8 | 9 |
| Brazil | 10 | 10 | 9 | 10 | 12 | 10 | 8 |
| Mexico | 11 | 11 | 10 | 11 | 14 | 9 | 14 |
| China | 12 | 13 | 14 | 13 | 10 | 13 | 12 |
| South Korea | 13 | 12 | 12 | 12 | 11 | 12 | 11 |
| Russia | 14 | 14 | 16 | 15 | 13 | 15 | 15 |
| Japan | 15 | 15 | 13 | 14 | 15 | 14 | 13 |
| Indonesia | 16 | 16 | 15 | 16 | 16 | 16 | 16 |
| Turkiye | 17 | 17 | 17 | 17 | 17 | 17 | 17 |
| Saudi Arabia | 18 | 18 | 18 | 18 | 18 | 18 | 18 |
| India | 19 | 19 | 19 | 19 | 19 | 19 | 19 |
Rank agreement with the base weights
| Scheme | Spearman correlation with the base ranking |
|---|---|
| Base (0.25, 0.20, 0.20, 0.15, 0.20) | 1.000 |
| Equal (0.20 each) | 0.996 |
| Entropy weights (data-driven) | 0.975 |
| First principal component | 0.995 |
| Labour-heavy | 0.979 |
| Institution-heavy | 0.984 |
| Drop D5 (no statistical voice) | 0.975 |
Rank and score across ten specifications
| Economy | Rank range across 10 specifications | GEVI range |
|---|---|---|
| United Kingdom | 1 to 2 | 86.4 to 94.5 |
| France | 1 to 3 | 86.4 to 95.2 |
| Australia | 1 to 3 | 84.8 to 92.8 |
| Canada | 4 to 4 | 82.7 to 91.5 |
| Germany | 5 to 5 | 81.2 to 89.2 |
| United States | 6 to 6 | 79.4 to 88.2 |
| Italy | 7 to 7 | 77.9 to 84.5 |
| Argentina | 8 to 8 | 75.8 to 82.9 |
| South Africa | 9 to 9 | 75.3 to 82.3 |
| Brazil | 10 to 10 | 72.0 to 78.5 |
| Mexico | 11 to 13 | 70.6 to 76.4 |
| China | 11 to 13 | 70.7 to 77.2 |
| South Korea | 11 to 14 | 68.0 to 76.4 |
| Russia | 13 to 15 | 66.5 to 72.6 |
| Japan | 14 to 15 | 65.3 to 70.6 |
| Indonesia | 16 to 16 | 62.7 to 67.1 |
| Turkiye | 17 to 17 | 56.7 to 60.4 |
| Saudi Arabia | 18 to 18 | 50.0 to 53.5 |
| India | 19 to 19 | 46.6 to 48.8 |
Four clusters from k means
| Members | Centroid D1 to D5 | Mean GEVI |
|---|---|---|
| United Kingdom, France, Australia, Canada, Germany, United States | 0.95 0.92 0.81 0.86 0.84 | 87.6 |
| South Africa, Mexico | 0.74 0.91 0.54 0.77 0.95 | 76.4 |
| Italy, Argentina, Brazil, China, South Korea, Russia, Japan, Indonesia | 0.81 0.86 0.75 0.51 0.71 | 72.8 |
| Turkiye, Saudi Arabia, India | 0.51 0.76 0.44 0.35 0.64 | 52.5 |
The strongest correlations across the group are I4 and I6 (+0.98); I8 and I9 (+0.84); I2 and I9 (+0.81); I1 and I9 (+0.81); I1 and I2 (+0.80); I11 and I12 (+0.78). Legal, supportive and enforcement scores move together, which is why D3 and D4 tend to be low or high together.
Scenarios across the group
Table 7. Gain in GEVI points by scenario (S1 data, S2 institutions, S3 legal, S4 labour, S5 politics, S6 enterprise, S7 all)
| Economy | S1 | S2 | S3 | S4 | S5 | S6 | S7 |
|---|---|---|---|---|---|---|---|
| United Kingdom | +0.0 | +0.0 | +1.4 | +0.5 | +0.0 | +0.0 | +1.9 |
| France | +0.0 | +0.0 | +1.1 | +0.5 | +0.0 | +0.0 | +1.6 |
| Australia | +0.0 | +0.0 | +1.3 | +0.4 | +0.0 | +0.0 | +1.7 |
| Canada | +0.0 | +0.0 | +1.4 | +0.5 | +0.0 | +0.1 | +2.0 |
| Germany | +0.0 | +0.0 | +1.4 | +0.8 | +0.0 | +2.0 | +4.3 |
| United States | +0.0 | +0.0 | +1.5 | +0.8 | +0.0 | +1.0 | +3.3 |
| Italy | +0.0 | +0.0 | +1.0 | +1.7 | +0.0 | +1.6 | +4.4 |
| Argentina | +0.0 | +0.0 | +1.2 | +2.4 | +0.0 | +0.1 | +3.8 |
| South Africa | +0.0 | +0.0 | +1.9 | +1.3 | +0.0 | +4.7 | +7.7 |
| Brazil | +0.0 | +0.0 | +1.2 | +4.0 | +0.0 | +0.0 | +5.3 |
| Mexico | +0.0 | +0.0 | +1.7 | +5.6 | +0.0 | +3.7 | +11.0 |
| China | +0.0 | +1.6 | +1.3 | +1.4 | +0.0 | +0.0 | +4.4 |
| South Korea | +0.0 | +0.0 | +0.7 | +0.8 | +0.0 | +2.2 | +3.7 |
| Russia | +0.0 | +1.5 | +1.3 | +1.8 | +0.0 | +0.5 | +5.2 |
| Japan | +0.0 | +1.0 | +1.2 | +1.6 | +0.1 | +2.7 | +6.8 |
| Indonesia | +0.0 | +0.6 | +1.2 | +3.9 | +0.0 | +1.6 | +7.4 |
| Turkiye | +0.0 | +2.1 | +1.3 | +5.3 | +0.0 | +4.3 | +13.7 |
| Saudi Arabia | +0.0 | +2.8 | +1.7 | +6.6 | +0.0 | +4.8 | +16.9 |
| India | +0.0 | +1.8 | +1.6 | +6.1 | +0.2 | +7.6 | +18.3 |
Gains are largest for the economies with the widest gaps and smallest for the leaders, where the capped indicators and the concavity of the geometric mean leave little room. For the lower half of the ranking the largest single lever is labour access (S4) in 6 economies, enterprise (S6) in 3 economies, institutions (S2) in 1 economies.
Recommendations for the group
| Recommendation | Owner | Indicators | Evidence |
|---|---|---|---|
| Add a sex field to wage-tax, business and taxpayer registration records and publish an annual gender tax profile | Revenue authorities | I4, I5, I6, I7 and a proposed fiscal indicator | No sex-disaggregated taxpayer statistic was used for any G20 member |
| Adopt a common minimum table of sex-disaggregated economic statistics with a shared definition of senior management and firm ownership | G20 statistics offices and ILO/World Bank | I5, I7, I13 | Definitions differ: senior management is missing for four members and firm ownership is 2009 to 2024 in the others |
| Cost and fund the missing supporting institutions | Treasuries, gender ministries | I10, D4 | D4 is the weakest dimension in the majority of the group |
| Publish enforcement data (complaints, prosecutions, remedies) | Justice ministries, labour inspectorates | I9 | Enforcement perceptions trail legal scores in all 18 economies with an enforcement score |
| Re-run the index yearly and report the interval | A G20 working group | All | A change inside the 90% interval is noise |
Limitations and next steps
Transcription of inputs must be verified against the World Bank pages.
The index measures visibility, not welfare; it should be read alongside labour-market and pay data.
The European Union and the African Union are not scored.
A joint 34-economy run (PITAA and G20) would put both on one set of medians; it has not been done.
Sources
Inputs are from the World Bank Gender Data Landscapes (April 2026 edition, including Women, Business and the Law 2026) and the Inter-Parliamentary Union ranking of 1 August 2026. Inputs were transcribed by hand from the 19 country briefs and should be checked against the source pages before publication.