Continuous Multi-Purpose Household Survey 2017
Mauritius, 2017
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Continuous Multi-Purpose Household Survey 2017
| Name | Country code |
|---|---|
| Mauritius | mus |
Household Survey [hh]
Statistics Mauritius. Continuous Multi-Purpose Household Survey, 2017 [dataset]. Version 1. Port Louis: SM [producer], 2017. Cape Town: DataFirst [distributor], 2019. DOI: https://doi.org/10.25828/1yrf-b672
The primary objective of the CMPHS is to obtain, on a regular basis, statistical information on the social and economic characteristics of the population of the Island of Mauritius and Island of Rodrigues. The data collected provide inputs for the development of socio-economic indicators describing the various aspects of socio-economic development and its impact on the population. They are essential for the formulation and monitoring of policy programmes. From 2004 the CMPHS has also been used as the dedicated instrument for the direct measurement of labour force, employment and unemployment on a quarterly basis.
Sample survey data
Households and individuals
Version
Version 1: Edited data available in DataFirst's Secure Research Data Centre
2017
Scope
The Continuous Multi-Purpose Household Survey collects data on households in Mauritius, including:
- Demographic Characteristics
- Educational Characteristics
- Activities of household members
- Nature of work
- Characteristics of self-employed
- Unemployment
- ICT amenities and use
- Household debt
- Safety and Security
- Domestic tourism
- Household income and expenditure
Coverage
The survey had national coverage
The survey covers all private Mauritian households on the islands of Mauritius and Rodrigues.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Statistics Mauritius | Government of Mauritius |
Sampling
(i) Sampling frame
The sampling frame used is a list of clusters or primary sampling units (PSUs) with their respective numbers of private households. The master sample of PSUs was drawn in 2005, based on the Relative Development Index (RDI) derived from the population census data. This index is used as the spatial stratification factor and is based on 12 variables encompassing housing and living conditions, literacy and education, and employment derived from the 2000 Housing and Population Census to rank PSUs. It will be updated at the next population census. The sampling frame as of Census 2000 consisted of
298,655 households (290,004 in Mauritius and 8,561 in Rodrigues).
(ii) Sampling method
The sampling method is a stratified two-stage sampling design. At the first stage, PSUs are selected from the PSU master sample with probability proportional to size. At the second stage of the sampling process, a fixed number of households (10) are selected by systematic sampling from each selected PSU with religion, household size and the average monthly expenditure of the household as stratification criteria. In 2010, 11,280 households were surveyed at the rate of 940 per month and the response rate for 2010 was 92.1%. It should be noted that the households that could not be surveyed were replaced by households with similar characteristics.
Since the sampling design used is not self-weighting, individuals' records have to be weighed in order to make the weighted records represent the population of inference as closely as possible. This is done in two stages: the first one is to compensate for unequal selection probabilities and the second one is to make the resultant weighted population estimates from the sample conform to independent population estimates.
(i) Quarterly estimates
Quarterly estimates are based on a sample of 2,820 households. The first set of weights (PSUWGT) consists of sampling weights based on the number of households in selected PSUs as per listing carried out in 2008. Estimates of the total number of persons by age group and sex worked out from the survey data after weighting are compared with independent population estimates (Demography figures). Correction factors are then applied to the PSUWGT for consistency.
(ii) Annual estimates
The sample data for the four quarters are merged and from the 11,280 households, the same weighting system is applied in two stages. However, in the first stage, the household weight is based on 20 households instead of 10 as a PSU is rotated twice during a year.
survey_instrument
The CMPHS questionnaire comprises three modules: a basic module common to all rounds of the survey covering the general characteristics of the population, one or more special topic modules dealing with subjects requiring in-depth investigation and a third module on other other topics which can change every year. As the CMPHS is being used as the instrument for the measurement of labour force, employment and unemployment on a quarterly basis, a set of core questions on the labour force in Module III is kept constant at all rounds of the survey. it should be noted that questions on demographic & educational characteristics from Module I as well as household income & expenditure from Module III are also kept constant as far as possible.
The 2010 questionnaires are published in English and the detailed Modules are as follows:
Module I : Demographic and educational characteristics
Module II : Economic characteristics of household members aged 12 years and over (labour force); Current activity, nature of
work, hours of work, self-employed; and Unemployment
Module III: ICT; Household Indebtedness; Safety & Security; Domestic Tourism; and Household income and expenditure
Data Collection
| Start | End |
|---|---|
| 2017 | 2017 |
| Name | Affiliation |
|---|---|
| Statistics Mauritius | Government of Mauritius |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support.data1st.org | support@data1st.org |
Secure Research Data Centre access https://www.datafirst.uct.ac.za/services/secure-data-services
Statistics Mauritius. Continuous Multi-Purpose Household Survey, 2017 [dataset]. Version 1. Port Louis: SM [producer], 2017. Cape Town: DataFirst [distributor], 2019. DOI: https://doi.org/10.25828/1yrf-b672
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst support | University of Cape Town | support@data1st.org | support.data1st.org |
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
2020-07-29
Metadata version
2