A | B | C | D | E | F | G | |
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1 | समूहः | स्थानम् | विषयसमूहः | विषयः | सङ्ख्या | टिप्पणिः | स्रोतः |
2 | India | Population | Population | 1200M | |||
3 | India | Population | Population online: fraction | 0.12 | |||
4 | India | Population | Population online | 150M | |||
5 | India | Population | Population rural: fraction | 0.7 | |||
6 | India | Population | Population urban: fraction | 0.3 | |||
7 | India | Population | Age 0-14: Fraction | 0.2 | |||
8 | India | Food | Vegetarians | 0.2- 0.33 | |||
9 | India | Floor space index (how many floors on average) | < 2 | 1% of land is enough to house all Indians comfortably with FSI of 1. | |||
10 | India | Police density | 130/ 100000 | 300/ 100000 recommended. | |||
11 | India | Gender and tech | Women in workforce | 0.24 | |||
12 | India | Gender and tech | Women in workforce at senior level | 0.09 | |||
13 | India | Tech | Phone users with data connection | 0.65 | |||
14 | India | Education: orphans | Children in orphanages | 20M | |||
15 | India | Education: orphans | Orphans: Undergrad studies | 0.15 | |||
16 | India | Education: orphans | Orphans: Study beyond Class X | 0.4 | |||
17 | India | Education | Teacher absenteeism: Government schools | 0.24 | |||
18 | India | Education | Government school infrastructure: substandard wrt RTE | 0.95 | |||
19 | India | Education | Public school attendees | 0.8 | |||
20 | India | Legislature | Representatives with criminal cases | 0.3 | |||
21 | India | Legislature | Increase in wealth between elections | 134% increase | |||
22 | India | Economy | average monthly Income | 250$ | |||
23 | India | Economy | People with bank accounts | <0.5 | |||
24 | India | Drinking water | Contamination rate | 0.68 | |||
25 | India | Drinking water | No access | 97M | |||
26 | India | Drinking water | Hospitalization due to lack of access | 0.5 | |||
27 | India | Drinking water | Communicable diseases fraction | 0.21 | |||
28 | India | Drinking water | diarrhoea deaths | 1600/ day | |||
29 | India | Hygene | Open defecation | 630M | |||
30 | World | Hygene | Open defecation | 2500M | |||
31 | Japan | Women, tech | College educated Women quit | 0.74 | |||
32 | Israel | Population | 8M | ||||
33 | Israel | Size | New Jersey | ||||
34 | Israel | Tech | R&D/GDP | highest | |||
35 | Israel | Tech | VC investment/capita | 152 per capita | |||
36 | Israel | Diversity | Jews from all over the world. Diverse in language, culture. | ||||
37 | South Africa | Population | Population | 50M | |||
38 | South Africa | Population | Population online | 12M | |||
39 | South Africa | Official Languages | 11 | ||||
40 | Mexico | Population | Population | 115M | |||
41 | Mexico | Population | Population online: fraction | 0.4 | |||
42 | Mexico | Non-large businesses online: fraction | 0.005 | ||||
43 | Nigeria | Population | Population | 167M | |||
44 | Nigeria | Population | Population online: fraction | 0.28 | |||
45 | USA | Gender and tech | Women with CS BS in a tech job 2 years after graduation | 0.3333333333 | |||
46 | USA | Gender and tech | Women leaving tech after 10 years | 0.41 | |||
47 | USA | Gender and tech | Men leaving tech after 10 years | 0.17 | |||
48 | USA | Population | African Americans | 0.12 | |||
49 | USA | Tech | Phone users with data connection | 0.9 | |||
50 | Turkey | Population | Population | 70M | |||
51 | Turkey | Population | Population online: fraction | 0.47 | |||
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