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The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Viet Nam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood.

The survey consists of three main elements: a child questionnaire, a household questionnaire and a community questionnaire. The household data gathered is similar to other cross-sectional datasets (such as the World Bank's Living Standards Measurement Study). It covers a range of topics such as household composition, livelihood and assets, household expenditure, child health and access to basic services, and education. This is supplemented with additional questions that cover caregiver perceptions, attitudes, and aspirations for their child and the family. Young Lives also collects detailed time-use data for all family members, information about the child's weight and height (and that of caregivers), and tests the children for school outcomes (language comprehension and mathematics). An important element of the survey asks the children about their daily activities, their experiences and attitudes to work and school, their likes and dislikes, how they feel they are treated by other people, and their hopes and aspirations for the future. The community questionnaire provides background information about the social, economic and environmental context of each community. It covers topics such as ethnicity, religion, economic activity and employment, infrastructure and services, political representation and community networks, crime and environmental changes. The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.

Further information about the survey, including publications, can be downloaded from the Young Lives website.
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Data Access and Licensing
Classification: Public
This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.
License: License specified externally
This dataset is licensed under License specified externally
Tags
2013, 2014, ACCESS TO INFORMATION, ACCESS TO PUBLIC SERVICES, ACCIDENTS, ADULT EDUCATION, AGE, AGRICULTURAL EQUIPMENT, AGRICULTURE, ALIMONY, ANDHRA PRADESH, ANIMAL HUSBANDRY, ANTHROPOMETRIC DATA, ARABLE FARMING, ASPIRATION, ATTITUDES, AUTHORITY, BIRTH WEIGHT, BREAST FEEDING, BUILDING MAINTENANCE, BULLYING, CARE OF DEPENDANTS, CAREGIVERS, CASTE, CHILD CARE, CHILD LABOUR, CHILD PSYCHOLOGY, CHILD WORKERS, CHILDBIRTH, CHILDREN, CHRONIC ILLNESS, COMMUNITIES, COMMUNITY ACTION, COMMUNITY BEHAVIOUR, COMMUNITY PARTICIPATION, CONSCRIPTION, CONSUMER GOODS, COST OF LIVING, COSTS, CREDIT, CROP YIELDS, CROPS, CULTURAL GOODS, DAY NURSERIES, DEATH, DEBILITATIVE ILLNESS, DEBTS, DEVELOPMENT PROGRAMMES, DIET AND NUTRITION, DISABILITIES, DISASTERS, DOMESTIC APPLIANCES, DOMESTIC RESPONSIBILITIES, ECONOMIC ACTIVITY, EDUCATIONAL BACKGROUND, EDUCATIONAL CHOICE, EDUCATIONAL FEES, EDUCATIONAL TESTS, ELECTRIC POWER, EMOTIONAL STATES, EMPLOYEES, ETHIOPIA, ETHNIC GROUPS, FAMILIES, FAMILY LIFE, FAMILY MEMBERS, FARM VEHICLES, FATHERS, FERTILIZERS, FINANCIAL DIFFICULTIES, FINANCIAL RESOURCES, FINANCIAL SUPPORT, FOOD, FOOD AID, FOOD SHORTAGES, FRIENDS, FUELS, FURNITURE, GENDER, GIFTS, GROUPS, HANDICRAFTS, HEALTH, HEATING SYSTEMS, HEIGHT (PHYSIOLOGY), HOME OWNERSHIP, HOME GROWN FOODS, HOMEWORK, HOUSEHOLD BUDGETS, HOUSEHOLD INCOME, HOUSEHOLDS, HOUSING CONSTRUCTION, HOUSING IMPROVEMENT, IMMUNIZATION, IMPRISONMENT, INCOME, INDIA, INDUSTRIES, INFANTS, INJURIES, INTERNET ACCESS, KITCHENS, LAND OWNERSHIP, LAND TENURE, LANGUAGE SKILLS, LANGUAGES USED AT HOME, LAVATORIES, LEARNING, LIFE EVENTS, LIFE SATISFACTION, LITERACY, LIVESTOCK, LIVING CONDITIONS, MARITAL STATUS, MARRIAGE DISSOLUTION, MEALS, MEDICAL CARE, MEMBERSHIP, MOBILE PHONES, MORTGAGES, MOTHER TONGUE, MOTHERS, MOTOR VEHICLES, NUMERACY, ORGANIZATIONS, PARENTS, PAYMENTS, PERSONAL FINANCE MANAGEMENT, PERU, POPULATION MIGRATION, POVERTY, PRE PRIMARY EDUCATION, PREGNANCY, PREMATURE BIRTHS, PRIVATE VOLUNTARY ORGANIZATIONS, PUBLIC WORKS, PURCHASING, QUALITY OF LIFE, RESIDENTIAL MOBILITY, RESPONSIBILITY, ROOMS, RURAL AREAS, SATISFACTION, SCHOOL PUNISHMENTS, SCHOOLCHILDREN, SCHOOLS, SELLING, SEXUAL AWARENESS, SIBLINGS, SINGLE SEX SCHOOLS, SLEEP, SOCIAL CAPITAL, SOCIAL CLASS, SOCIAL NETWORKS, SOCIAL SECURITY BENEFITS, SOCIAL SKILLS, SOCIAL SUPPORT, SOCIO ECONOMIC STATUS, SPOUSES, STANDARD OF LIVING, STRUCTURAL ELEMENTS (BUILDINGS), STUDENT ATTITUDE, STUDENT BEHAVIOUR, STUDENT TRANSPORTATION, TELEPHONES, TEMPORARY EMPLOYMENT, THEFT, TIME BUDGETS, TRADE UNION MEMBERSHIP, TRANSPORT FARES, TRAVELLING TIME, TRUANCY, TRUST, TUTORING, UNITS OF MEASUREMENT, URBAN AREAS, VIET NAM, VOTING BEHAVIOUR, WATER POLLUTION, WATER SERVICES (BUILDINGS), wb waterdata, WEIGHT (PHYSIOLOGY), WOMEN, YOUTH
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