Questionnaire and survey methodology. Saint Lucia: Survey of living condition and household budgets 2005/2006

This manual documents some of the material related to the Survey of Living
Conditions and Household Budgets (SLC/HBS) conducted in Saint Lucia by the Kairi
Consultants Limited and National Assessment Team between 2005 and 2006.
The SLC/HBS is a sample survey which generates data on households and individuals
in the country. The main objectives of this survey were (i) to collect information from
households on their expenditure patterns, income and other characteristics and; (ii) to revise
the 'average shopping basket' used in constructing the Consumer Price Index (CPI) for the
country, and the relative weights of the items in the basket. The survey also provided
valuable data for an assessment of the impact of socio-economic policies on the living
conditions of the resident population in Saint Lucia. Further, data on households gathered in
the survey also provide valuable inputs for the compilation of the country's National
Accounts statistics relating to the household sector.
This manual was developed by the Economic Commission for Latin America and the
Caribbean (ECLAC) – Subregional Headquarters in the Caribbean as a supplementary
document for the Caribbean Household Surveys Database (CHSD). The main components of
this manual include survey methodology and the questionnaires used for data collection.
The latter are included in the annex at the end of the document. All information contained
therein was provided by the Statistics Department in Saint Lucia.
The ECLAC Subregional Headquarters for the Caribbean is pleased to acknowledge
the Saint Lucia Statistics Department for graciously consenting to the use of their surveys and
metadata under the project Improving Caribbean Household Surveys. Due recognition must
also be given to the Statistics and Economics Projection Division at ECLAC (Santiago) who
provided guidance in the standardization of the datasets and the creation of the Caribbean
Household Surveys Databank.