The 2004-05 Household Survey of Employment and Unemployment aimed to meet the data requirements of planners working towards improving the quality and productivity of Fiji's human resources.
The principal objective of the survey was to obtain comprehensive statistical data on the economically active population, comprising employed and unemployed persons, as well as on the inactive population of working age. From the data, the size and structure of the country's workforce have been determined. When compared to figures of previous years, changes in the labour market and in the employment situation can be obtained.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Producers and sponsors
Authoring entity/Primary investigators
Fiji Islands Bureau of Statistics
Government of Fiji
Government of Fiji
Funded the survey
The survey included all householders in conventional dwellings distributed in localities within the urban and urban sectors of the four administrative divisions namely Central, Eastern, Western and Northern.
The target population was Fiji Citizens and permit holders in conventional dwellings excluding those found in households of non-Fiji citizens, hospitals, prisons, hotels, temporary construction sites, boarding schools and similar institutions.
A sampling frame was constructed using the count of conventional households gather from the listing stage for HIES 2002-2003 and information gathered from updates to EAs identified to have had significant changes in household numbers. In previous surveys the sample was drawn from a sampling frame taken from the immediate past census. This would not have been suitable for this survey, as the last census was taken almost 10 years ago. Since then, there has been considerable rural: urban drift, while the urban boundaries have extended significantly in many areas, for example, along the Nadi and lautoka corridor.
A sample of 3000 households was targeted using a two stage stratified systematic sampling. The first stage involved the selection of 300 EAs in proportion to the number of households in each stratum. In the second stage, a random sample of 10 households within each identified EA was selected. This sample, including a reserve pool, was drawn from a list of households in EA stratified by household size and ethnicity.
Response rate is 100%.
Dates of Data Collection (YYYY/MM/DD)
Mode of data collection
Coding and Data Entry
Once the schedules were returned, coders tallied counts of population and households by ethnicity. Written responses were standardized. These tasks include coding the main occupation and industry of the employed and those involved in any economic activity including responses of those not in the labour force. Separate data entry screens were used for the Schedule 1- Listing, and Schedule 2- Main schedule using CSPro, a survey data processing software. The data entry screens had built in skip patterns derived from the questionnaire, simplifying data entry and editing.
Some editing were done in the field and verified at coding stages. However a more thorough check involved printing all entered information and the verifying against field records item by item. This ensured that data gathered from the field was not lost in transition during data entry through to output. Consistency and structural checks on the data were part of the tasks carried out at the compilation stages of the final database. The calculated weight was assigned to each record at this edit stage. Data frequencies on variables also provided an indication of the effectiveness of the data collection exercise, particularly in checking the required number of households to be visited per EA. Weighted frequencies further provided an indication of the accuracy of the data collection and monitoring survey processes as a whole.
Verification of information was done by enumerator on repeat household visits during the week allocated for completion of the main questionnaire. Checks on age and relationship of members of the household to the head were some of the initial tasks in making sure that respondents provided information with a highest acceptable degree of accuracy and consistency. For working employees. enumerators were able to access statements of emoluments and at times balance sheets for those involved in sale of goods and services.
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.