🇮🇳IND: 43%
🇿🇦RSA: 43%
🇮🇹ITA: 40%
🇬🇧GBR: 38%
🇮🇩IDN: 37%
🇧🇷BRA: 37%
🇸🇪SWE: 35%
🇹🇷TUR: 35%
🇺🇸USA: 34%
🇫🇷FRA: 32%
🇨🇦CAN: 31%
🇲🇽MEX: 31%
🇪🇸ESP: 30%
🇳🇱NED: 29%
🇩🇪GER: 28%
🇰🇷KOR: 25%
🇨🇱CHL: 19%
(UN) #WomenInScience
🇨🇴COL: 41%
🇦🇷ARG: 34%
🇦🇺AUS: 28%
🇮🇹ITA: 28%
🇲🇽MEX: 28%
🇪🇸ESP: 27%
🇿🇦RSA: 26%
🇺🇸USA: 24%
🇧🇷BRA: 23%
🇫🇷FRA: 23%
🇹🇷TUR: 22%
🇸🇪SWE: 21%
🇬🇧GBR: 21%
🇨🇳CHN: 19%
🇷🇺RUS: 17%
🇨🇦CAN: 17%
🇩🇪GER: 16%
🇮🇳IND: 15%
🇰🇷KOR: 11%
🇯🇵JPN: 6%
(ISSA) #WomenInScience
🇦🇷ARG: 53%
🇳🇿NZL: 52%
🇲🇾MAL: 48%
🇮🇩IDN: 46%
🇿🇦RSA: 45%
🇪🇸ESP: 40%
🇷🇺RUS: 40%
🇵🇰PAK: 39%
🇬🇧GBR: 39%
🇹🇷TUR: 37%
🇮🇹ITA: 35%
🇸🇪SWE: 34%
🇲🇽MEX: 33%
🇩🇪GER: 28%
🇫🇷FRA: 27%
🇨🇳CHN: 27%
🇰🇷KOR: 20%
🇯🇵JPN: 16%
🇮🇳IND: 14%
🇺🇸USA: n/a
(UN) #WomenInScience
🇮🇳IND: 44%
🇦🇪UAE: 43%
🇲🇾MAL: 41%
🇿🇦RSA: 37%
🇸🇪SWE: 29%
🇮🇩IDN: 29%
🇲🇽MEX: 26%
🇹🇷TUR: 26%
🇨🇦CAN: 25%
🇩🇪GER: 21%
🇦🇷ARG: 20%
🇺🇸USA: 20%
🇰🇷KOR: 19%
🇬🇧GBR: 17%
🇫🇷FRA: 15%
🇮🇹ITA: 14%
🇧🇷BRA: 13%
🇪🇸ESP: 13%
🇨🇱CHL: 11%
(UN) #education
🇨🇦CAN: 69%
🇧🇷BRA: 68%
🇿🇦RSA: 68%
🇮🇹ITA: 67%
🇦🇺AUS: 67%
🇲🇽MEX: 67%
🇦🇪UAE: 66%
🇸🇪SWE: 66%
🇫🇷FRA: 65%
🇳🇱NED: 65%
🇺🇸USA: 63%
🇦🇷ARG: 63%
🇬🇧GBR: 62%
🇪🇸ESP: 62%
🇩🇪GER: 62%
🇮🇳IND: 53%
🇰🇷KOR: 52%
🇹🇷TUR: 50%
🇯🇵JPN: 49%
(UN) #WomenInScience
🇨🇭SUI: 9.5 per 1,000 adults
🇸🇪SWE: 5.8
🇺🇸USA: 5.8
🇮🇱ISR: 4.9
🇩🇪GER: 4.7
🇫🇮FIN: 4.5
🇬🇧GBR: 4.3
🇦🇺AUS: 3.4
🇨🇦CAN: 3.1
🇫🇷FRA: 3.0
🇮🇪IRE: 2.9
🇪🇸ESP: 2.8
🇩🇰DEN: 2.5
🇳🇱NED: 2.3
🇷🇺RUS: 2.1
🇮🇹ITA: 2.0
🇰🇷KOR: 1.7
🇨🇱CHL: 0.2
🇮🇳IND: n/a
(CDH) #science
🇨🇴COL: 34%
🇦🇷ARG: 34%
🇧🇷BRA: 33%
🇸🇪SWE: 32%
🇮🇹ITA: 29%
🇿🇦RSA: 29%
🇮🇳IND: 28%
🇲🇽MEX: 28%
🇵🇹POR: 27%
🇫🇷FRA: 26%
🇪🇸ESP: 26%
🇹🇷TUR: 24%
🇦🇺AUS: 23%
🇬🇧GBR: 22%
🇩🇪GER: 22%
🇳🇱NED: 21%
🇨🇦CAN: 21%
🇺🇸USA: 19%
🇯🇵JPN: 14%
(UN) #WomenInSTEM