The main goal of LASI is to collect credible scientific data on the burden of disease, mental health, functional health, health care, social and economic well being of the elderly population. LASI data is being collected based on internationally comparable research design, tools and adopts state of the art scientific methods to provide the foundation for credible and acceptable data – for national and state level policy making and long-term scientific research.
The main objective of LASI is to provide comprehensive longitudinal evidence base on health, social and economic wellbeing of the elderly population in India. LASI will provide data on demographics, household economic status, health and biomarkers, health insurance and health care utilization, family and social network, social security schemes, work and employment, retirement and pension, life satisfaction and expectations. LASI is designed to cover scientific data on five major subject and policy domains of the adult and older population of India namely:
1. Health: Disease burden & risk factors (reported and measured)
2. Health care and health care financing
3. Social: Family and social network
4. Economic: Income, wealth, expenditure, employment, retirement and pension
5. Welfare programs for Elderly
Geographic Coverage and Sampling Design
LASI wave-I covers all states and union territories of India with a panel sample of 72,000 older adults aged 45 years and above. The long-term goal of LASI is to continue this survey for the next 25 years with the first wave was undertaken in 2017-18 and second wave planned for 2021-22. LASI aims to obtain all the indicators for the states and union territories. In addition, LASI aims at obtaining indicators for each of the four metropolitan cities of Delhi, Kolkata, Mumbai and Chennai.
Sample design: The target sample for LASI is non-institutionalized Indian residents aged 45 and older and their spouses (irrespective of age). LASI adopts multistage clustering sampling design; three-stage sample design in rural areas and a four-stage sample design in urban areas. In each state, at first stage, involved selection of Primary Sampling Units (PSUs), i.e., sub-districts (Tehsils/Talukas); the second stage involved the selection of Secondary Sampling Units (SSUs) i.e. villages from rural areas and ward from urban areas of the selected PSUs. In rural areas, at the third stage, households are selected from selected villages. However, sampling in urban areas involved one more stage. From each selected urban ward, one Census Enumeration Block (CEB) was randomly selected in the third stage. At the fourth stage, households from this CEB will be selected. The main reason for adopting a four-stage sample design in urban areas is that urban wards are quite large, making it difficult to list all the households in a ward.