Transcription of 女性活躍加速のための重点方針2018策定に向けて
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2 2017 2012 2017 2012 2017 2013 2017 2013 2017 2014 (2014 163 2018 UNWomen 10 10 2015 2 28 9 0%2 0%3 0%4 0%5 0%6 0%7 0%8 0%9 0%100% P TA 38.)
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5 29 119 3,129 336 1619222528 22 25 100 20 69 40 69 0. 00 7:345:406:095:496:115:295:263:452:182:22 1:572:182:102:170 :001 :002 :003 :004 :005 :006 :007 :008 :00 1:233:102:462:303:003:213:120:491:201:00 0:400:591:071:130 :001 :002 :003 :004 :00 4 20 20 6 2 30 28 Bureau of Labor Statistics of American Time Use Survey (2016) Eurostat How Europeans Spend Their Time Everyday Life of Women and Men 2004 2.
6 30 1. 21 22 24 25 26 28 2. 3. 4. 22 850 22 0%20%40%60%80%100% 0%20%40%60%80%100% 2016 6 1 100 15 70.
7 0%5 . 0% 8 . 0%9 . 0% 0220 0320 0420 0520 0620 0720 0820 0920 1020 1120 1220 1320 1420 1520 1620 170 . 0%0 . 5%1 . 0%1 . 5%2 . 0%2 . 5%3 . 0%3 . 5%4 . 0%20032004200520062007200820092010201120 12201320142015201620170 . 0%5 . 0% OECD OECD OECD Social and Welfare Statistics 2016 EU 50 MSCI ACWI, World, EAFE.
8 Emerging Markets index 20 17 7 31 8 ILO ILOSTAT 20 08 20 13 2014 201 5 20 17 20 16 68-6451-42-100-8 0-6 0-4 0-2 00204060801 00 < > < > 1. Main Science and Technology Indicators (National Science Foundation ) Science and Engineering Indicators 2016 2. 2017 29 2015 27 2013 25 2014 26 3. Scientists (Engineers) 0 510 15 20 25 30 35 40 45 1.
9 2. 3. 9 2018 ESG
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