The Labour Force Survey (LFS) Pilot programme is the latest initiative of the ILO to support the implementation of the international standards on statistics of work, employment and labour underutilization recently adopted by the 19th International Conference of Labour Statisticians . Launched in 2015, the programme promotes collaboration between the ILO Department of Statistics and National Statistical Offices to conduct research in survey design with the main aim to:
-Develop guidance for countries on how best to align their national labour force surveys with the new international standards.
-Promote the sharing of good practice in labour force survey methodology among countries around the world.
-Foster greater comparability in labour market statistics across countries.
Kind of Data
Sample survey data [ssd]
Version 01: Cleaned, labelled and raw version of the Master file.
This DDI has been exported from the Survey Solutions software and does not contain values (only variables).
Unit of Analysis
Household and Individual.
All usual residence members of households, 15+ age groups for Labour Force questions.
Producers and sponsors
Authoring entity/Primary investigators
Cook Islands National Statistics Office
Ministry of Finance and Economic Management
Labour and Consumer Services
Ministry of Internal Affairs
Cook Islands Government
Statistics for Development Division
Technical assistance (sample design, CAPI training, data processing)
International Labour Organization (ILO)
Technical assistance (report writing and dissemination)
The Cook Islands 2019 LF survey is based on a two stages stratified design. The survey aims to report on labour force indicators at the urban and rural level, as well as the National level. Both urban and rural strata represent the domain of report.
The random selection strategy consisted in a two stages selection with:
- Stage 1: the random selection of Enumeration Areas (EAs) using the 2016 EA framework and size of EAs. This selection was done using the probability proportional to size approach
- Stage 2: the random selection of households with equal uniform probability within the selected EAs. Given the census was 3 years outdated, all household listings were updated in all selected EAs.
The sample size were computed using the labour force section of the previous 2015 Household Income and Expenditure Survey (HIES), and especially the labour force participation rate in both strata (urban and rural) looking at:
- The rate, the standard deviation of the rate, the standard error and the design effect
By using those indicators derived from the 2015 HIES and the updated population count from the 2016 census, an ideal sample size was calculated with a predicted relative sampling error lower than 5% (3% in urban and 4% in rural). Lastly, the sample sizes were corrected using the finite population correction adjustment factor that applies in the context of the small islands Territories.
The final sample size calculated for Rarotonga were 800 adults and using the household size derived from the census in this strata it represents 315 households (household size=2.5). In rural Cook Islands, the sample size reached 500 adults, with an average household size of 2.4. This corresponds to a sample size of 216 households.
The cluster size in all EAs was 21 adults per EA, which means 9 households in rural and 8 in urban (based on household sizes).
The sampling weights were computed using the probability of each household being selected:
P = 1 / (w1*w2)
Where w1=probability of selection of EAs in the strata (proportional to size)
W2=probability of selection of the households within the selected EAs.
Two post stratification adjustments were made to the sampling weights:
- 1. to match the population projections:
- 2. To match the population structure (age and sex).
Dates of Data Collection (YYYY/MM/DD)
Mode of data collection
Computer Assisted Personal Interview [capi]
Type of Research Instrument
The questionnaire of the 2019 Labour Force Survey of Cook Islands was developped in English. It consists of 6 different sections:
-Geographical IDs (identification of households);
-Individual members characteristics (characteristics of household members, education, migration, agricultural work, job characteristics, working time, job search, use of food, health and safety, social protection);
-Household members living abroad (absentees);
"Cook Islands Statistics Office, Labour Force Survey 2019 (LFS 2019), Version 01 of the licensed dataset (March 2020), provided by the Microdata Library. https://microdata.pacificdata.org/index.php/home"
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.