1. IPUMS Microdata Relation to head Marital status Literacy Occupation

2. User Access Application Scholarly and educational purposes Key: it must not be redistributed Once approved, access to all data Free

3. Making the IPUMS Pre-processing Integration Dissemination

4. Making the IPUMS Pre-processing Integration Reformatting Error correction Sampling Confidentiality

5. Making the IPUMS Pre-processing Integration Reformatting Error correction Sampling Confidentiality Metadata Data harmonization Constructed variables

6. Data Integration – Marital Status China1982Colombia1973Kenya1989Mexico1970U.S.A.1990

7. IPUMS Home Page

8. Variables Page

10. Sample Filtering

11. Variables Page

12. Unharmonized Variables

13. Variable Description (Marital status)

14. Comparability Discussion (Marital status)

15. Enumeration Text (Marital status)

16. Enumeration Text (Marital status, Cambodia)

17. Variable Codes (Marital status)

18. Variable Codes (Marital status)

19. Variable Codes (Marital status)

20. IPUMS Home Page

21. Extract Step 1 – Login

22. Extract Step 2 – Select Samples

23. Extract Step 3 – Select Variables

24. Extract Step 4 – Variable Options

25. Extract Step 4 – Select Cases

26. Age of spouse Employment status of father Occupation of father Extract Step 4 – Attach Characteristics

27. Extract Step 5 – Customize Sample Sizes

30. Extract Step 6 – Submit

31. Download or Revise Extract

32. Key Strengths of the Census Samples Internationally comparable Pool data across countries – integrated variables Enable study of relatively small populations Large Temporal depth Provide historical perspective

33. Key Strengths of the Census Samples Microdata All of a person’s characteristics – multivariate analysis Hierarchical Characteristics of everyone a person resided with Cohabitation and family interrelationships

34. Limitations Due to Confidentiality Geography 20,000 population or larger Sensitive variables, very small categories Samples Too small to answer some questions

35. Other Issues and Limitations Cross-sectional data Not longitudinal User burden Information overload; culturally specific knowledge Variable labels are insufficient

36. Academic field (%) 47Economics 21Demography 10Sociology 22Other IPUMS Users 54% Graduate students 2000 registered users

37. 67% multiple samples 45% multiple countries Samples Extracted 17% 5 or more countries

38. Decade of Extracted Sample 1960s 11 1970s 14 1980s 16 1990s 30 2000s 29 Decade Percent

39. Most Frequently Extracted Countries 1. Mexico 2. Brazil 3. United States 4. Colombia 5. France 6. Chile 7. Ecuador 8. Vietnam 9. Kenya 10. Argentina

40. Population Pyramids Palestine Iraq Egypt

41. Population Pyramids Young (Uganda 2002) Medium (Philippines 2000) Old (USA 2005)

42. Belarus 1998 Cambodia 1998 China 1990 Population Pyramids

43. Mexico 196019902005

44. 0 5 10 15 20 25 30 35 40 45 50 1960196519701975198019851990199520002005 Percent in Labor Force Mexico Costa Rica Ecuador Chile Venezuela Colombia Brazil Married Female Labor Force Participation in Latin America (age 18 to 65)

45. 0 10 20 30 40 50 60 70 1920193019401950196019701980199020002010 Percent in Labor Force Latin America United States Married Female Labor Force Participation: Latin America and U.S. (age 18 to 65)

46. 0 10 20 30 40 50 60 70 1920193019401950196019701980199020002010 Percent in Labor Force United States Mexico Costa Rica Ecuador Chile Venezuela Colombia Brazil Married Female Labor Force Participation: Latin America and U.S. (age 18 to 65) Compare Latin America to U.S. 40 years earlier

47. Married Female Labor Force Participation: Mexican-born Women, 1970-2000 0 10 20 30 40 50 60 70 1970197519801985199019952000 Percent in Labor Force Mexican-born Women in United States Women in Mexico

50. Percent of elders in intergenerational families

51. Percent of elders in elder-head intergenerational families

52. Percent of elders in younger-head families

53. Trends in Intergenerational Families Intergenerational families headed by the older generation are becoming more common in most countries, with exceptions mainly in Africa. Intergenerational families headed by the younger generation—the configuration that suggests old-age support—are much rarer, and they are on the decline in most countries.