How can we best address global unevenness in Wikidata representation? First, let’s measure it. Let’s divide the world twice, by gender and by geography, to yield four approximately equal population quarters. Now, here’s the bad news: in December 2024, women from under-represented countries - 25% of world population - were only 0.83% of the people on Wikidata with assigned gender and country of citizenship. But here’s the good news: the relatively small numbers involved make it feasible to change that situation! In only a few months, dedicated work increased the number of women from these countries from 34,500 to around 42,500. Improving this metric also boosted other Wikimedia-internal measures. This talk shares intersectional data lurking beneath these totals, some tricks and some lessons encountered. Finally, I identify future challenges and opportunities, and call on others in the community to join in and help.