IPUMS Microdata Relation to head Marital status Literacy Occupation

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

Making the IPUMS Pre-processing Integration Dissemination

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

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

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

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Variables Page

Sample Filtering

Variables Page

Unharmonized Variables

Variable Description (Marital status)

Comparability Discussion (Marital status)

Enumeration Text (Marital status)

Enumeration Text (Marital status, Cambodia)

Variable Codes (Marital status)

Variable Codes (Marital status)

Variable Codes (Marital status)

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Extract Step 1 – Login

Extract Step 2 – Select Samples

Extract Step 3 – Select Variables

Extract Step 4 – Variable Options

Extract Step 4 – Select Cases

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

Extract Step 5 – Customize Sample Sizes

Extract Step 6 – Submit

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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

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

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

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

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

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

Decade of Extracted Sample 1960s s s s s 29 Decade Percent

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

Population Pyramids Palestine Iraq Egypt

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

Belarus 1998 Cambodia 1998 China 1990 Population Pyramids

Mexico

Percent in Labor Force Mexico Costa Rica Ecuador Chile Venezuela Colombia Brazil Married Female Labor Force Participation in Latin America (age 18 to 65)

Percent in Labor Force Latin America United States Married Female Labor Force Participation: Latin America and U.S. (age 18 to 65)

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

Married Female Labor Force Participation: Mexican-born Women, Percent in Labor Force Mexican-born Women in United States Women in Mexico

Percent of elders in intergenerational families

Percent of elders in elder-head intergenerational families

Percent of elders in younger-head families

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.