1. EVERYONE COUNTS Unit 3: Handling inequality data

2. UNIT 3 SESSION 1 How can we measure well-being?

3. HOW CAN WE MEASURE WELL-BEING? Think Pair Share

4. Life expectancy

5. Population

6. Infant mortality rate (per 1,000 live births)

7. Access to improved water source (% of total population)

8. Access to electricity (% of total population)

9. Motor vehicles (per 1,000 people)

10. Mobile phone subscriptions (per 100 people)

11. Internet users (per 100 people)

12. Rural population (% of total population)

13. Urban population (% of total population)

14. Primary school enrolment (% of relevant age group)

15. Living in extreme poverty (% of total population)

16. IndicatorEthiopiaIndiaPeruViet NamUK Life expectancy at birth (years)6366757682 Population (millions)921237308964 Infant mortality rate (per 1,000 live births) 474414184 Access to improved water source 1 (% of total population) 52938795100 Access to electricity (% of total population) 23759096 No data Motor vehicles (per 1000 people) 3186714516 Mobile phone subscriptions (per 100 people) 227098148135 Internet users (per 100 people) 113384087 Rural population (% of total population) 8368226820 Urban population (% of total population) 1732783280 Primary school enrolment (% of relevant age group) 61938998100 Living in extreme poverty 2 (% of total population) 31335 17No data

17. IndicatorEthiopiaIndiaPeruViet NamUK Life expectancy at birth (years)63.066.274.575.681.5 Population (millions)94.11252.130.489.764.1 Infant mortality rate (per 1,000 live births) 46.543.814.118.44.1 Access to improved water source 1 (% of total population) 51.592.686.895.0100.0 Access to electricity (% of total population) 23.375.389.796.1 No data Motor vehicles (per 1000 people) 3.017.667.313.6515.6 Mobile phone subscriptions (per 100 people) 27.370.898.1130.9123.8 Internet users (per 100 people) 1.915.139.243.989.8 Rural population (% of total population) 82.568.022.167.720.1 Urban population (% of total population) 17.532.077.932.379.9 Primary school enrolment (% of relevant age group) 67.993.393.798.199.8 Living in extreme poverty 2 (% of total population) 30.732.74.9 16.9No data

18. IndicatorEthiopiaIndiaPeruViet NamUK Life expectancy at birth (years)62.9766.2174.5275.6181.50 Population (millions)94.101252.1430.3888.7764.10 Infant mortality rate (per 1,000 live births) 46.5043.8014.1018.404.10 Access to improved water source 1 (% of total population) 51.5092.6086.8095.00100.00 Access to electricity (% of total population) 23.3075.3089.7096.10 No data Motor vehicles (per 1000 people) 3.0517.5567.3413.61515.55 Mobile phone subscriptions (per 100 people) 27.2570.7898.08130.89123.77 Internet users (per 100 people) 1.9015.1039.2043.9089.84 Rural population (% of total population) 82.4667.9822.0967.6820.11 Urban population (% of total population) 17.5432.0277.9132.3279.89 Primary school enrolment (% of relevant age group) 67.9393.3493.7398.0699.82 Living in extreme poverty 2 (% of total population) 30.6532.684.91 16.85No data

19. UNIT 3 SESSION 2 Comparing time use

20. What activities do you do each day?

21. Sleeping

22. Caring for others

23. Domestic tasks

24. Tasks on family farm or business

25. Work for pay outside of the household

26. At school

27. Studying outside of school

28. Play or leisure activities

29. PRESENTING TIME USE DATA Manuel, Peru Pie chart

30. PRESENTING TIME USE DATA Manuel, Peru Bar chart Activity type Daily time use (hours)

31. PRESENTING TIME USE DATA Manuel, Peru Line graph Activity type Daily time use (hours)

32. PRESENTING TIME USE DATA Manuel, Peru Table Activity type Sleeping Caring for others Domestic tasks Tasks on family farm or business Work for pay outside of household At school Studying outside of school Play or leisure activities Daily time use (hours) 102223312

33. PRESENTING TIME USE DATA Daily time use (hours) Activity type

34. UNIT 3 SESSION 3 Calculating mean time use

35. Activity type Sleeping Caring for others Domestic tasks Tasks on family farm or business Work for pay outside of household At school Studying outside of school Play or leisure activities Daily time use (hours) 91209003 Daily Time Use Ravi, India Do you think every young person in India will have the same time use data?

36. Daily Time Use Ravi, India Daily time use (hours) Activity type Ravi Mean time use

37. Daily Time Use Harika, India Daily time use (hours) Activity type Harika Mean time use

38. Daily Time Use Hung, Viet Nam Daily time use (hours) Activity type Lien Mean time use

39. Daily Time Use Lien, Viet Nam Daily time use (hours) Activity type Lien Mean time use