The Fiji Household Income and Expenditure data is necessary to revise the weights in Consumer Price Index (CPI). It also useful for analysis of poverty in Fiji and examining trends in consumption patterns which can impact on the economic well-being of the Fiji economy.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Unit of Analysis
Producers and sponsors
Authoring entity/Primary investigators
Bureau of Statistics (FIBoS)
The starting sampling frame was the updated urban and rural Enumeration Areas (EAs) of the 1996 Population and Housing Census. A frame update exercise was carried out in areas where it was thought that significant changes had taken place: the Suva-Nausori corridor, Nadi, Lautoka, Ba and Labasa.
For the urban survey, it was decided that the divisions would be stratified into 14 socio-economic “classes” defined as High Class, Middle Class, Housing Authority, Settlement, Squatter and Village.
In the rural survey, the Divisions were stratified using a “remoteness index” ranging from 1 (closest to urban areas) to 4 (furthest from urban areas) - resulting in 13 strata.
A two-stage sampling strategy was used. In the first stage, representative samples of Urban and Rural Enumeration Areas were selected. The listing stage then collected demographic, economic activity and housing information from all households in the selected EAs.
Within each stratum several Enumeration Areas (EAs) or Primary Sampling Unit (PSU) from the frame were selected with probability proportional to size, measured in terms of the total households in the frame. Within each EA, a fixed number of households were selected by systematic random sampling.
The household weight for all the households in each selected EA was calculated as:
((Population of Stratum i) * (Listing number of households in EA)) / ((Frame population of EA) * (No of hh in sample) * (Number of EAs selected in stratum))
Dates of Data Collection (YYYY/MM/DD)
Mode of data collection
Coding and data entry work was centralised to the 4 regional offices. Data was captured using CSPro and processed using SAS. Manually calculated subtotals and totals were used as control totals to check against data entry errors and consistency of the computer programmes.
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 of the data files (for datasets obtained on-line)
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.