The World Bank 2006 Sri Lanka Aging Survey is a special aging survey conducted specifically for the report "Sri Lanka Addressing the Needs of an Aging Population". The survey is based on a representative sample of Sri Lankan elderly people.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The scope of the Sri Lanka Aging Survey includes:
Community: Community characteristics, facilities
Household:Basic information, household roster, non-resident family members roster, housing particulars, household consumption, household income, knowledge of markets and bank services
Adult Child (18+): Basic information, employment, respondent's children, intergenerational transfers, perception on elderly, primary caregiver, health status, mental health
Elderly (60+): Basic information, proxy information, background information and basic data of the respondent, respondents' children, activities engaged by the elder, retirement, sources of income and assistance in retirement, exepectations of retirement, income and assets, living arrangements and intergenerational transfers, interaction with children and grandchildren, family decision-making process and elder's involvement, health and health care use
Persons 60 years old or above
Producers and sponsors
Human Development Unit - South Asia Region
The World Bank
Sample Survey Division
Department of Census and Statistics
Design of sample framework
The World Bank
The survey is based on a representative sample of 2,413 Sri Lankan elderly people (persons 60 years old or above)
The sample process consisted of the following steps:
Selection of targeted population (people in the age bracket 60+)
Targeted population was estimated to be 9.2 percent of the total population (around 1.5 million).
Selection of districts
North-Eastern provinces were excluded, and among other districts, 13 districts were covered out of the 17 districts (districts with escalating tensions arousing from the ethnic conflict were excluded - see below the selection of districts).
Random selection of 260 Primary Sampling Units (PSU), based on the 2001 census of housing and population framework in the urban, rural and the estate sector.
Obtaining basic personal information on household members in all households in selected PSU ("listing exercise").
Random selection of secondary sampling units (households), based on completed the listing results, by DCS. In each PSU, 10 households (Secondary Sampling Units) were selected.
The listing exercise started in October 2005 and was completed by the end of December 2005.
Dates of Data Collection
Data Collection Mode
Data Collection Notes
The field work commenced in February 2006 and was completed in April 2006. There were up to three interviews in each household: (i) with the selected old person; (ii) with one adult child (15+) – every second surveyed household; and (iii) with the household head or the most knowledgeable person.6 In addition, a community-level questionnaire was administered to the Grama Niladhari (village head) corresponding to the PSUs chosen. On an average, each interview took about one and a half hours to complete. In exceptional cases (including, for example, impaired hearing and reading ability), interviews were lengthier and were broken down to several parts. Sometimes proxies were utilized for answering questions.
Should the head of the household not be available, the housewife or a person most knowledgeable about household matters, income and expenses was interviewed.
The World Bank
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
The World Bank, Human Development Unit - South Asia Region. Sri Lanka Aging Survey 2006 (AS). Ref. LKA_2006_AS_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.