Smallholder Household Survey - CGAP, 2015
Mozambique, 2015
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MOZ_2015_SHS_v01_EN_M_v01_A_OCS
Smallholder Household Survey - CGAP, 2015
| Name | Country code |
|---|---|
| Mozambique | MOZ |
Other Household Survey [hh/oth]
CGAP has been working to build the evidence base on the financial and agricultural lives of smallholder households. This nationally-representative survey of smallholder households collected information on household demographics, poverty status, agricultural activities, income sources and expenses, mobile phones, and informal and formal financial services. The data was used to detail a national picture of the smallholder sector and identify the characteristics of its key segments in a segmentation analysis. To date, CGAP has smallholder household surveys completed or underway in Mozambique, Uganda, Tanzania, Cote d'Ivoire, and Bangladesh.
The objectives of the Smallholder Household Survey in Mozambique were to:
• Generate a clear picture of the smallholder sector at the national level, including household demographics, agricultural profile, and poverty status and market relationships;
• Segment smallholder households in Mozambique according to the most compelling variables that emerge;
• Characterize the demand for financial services in each segment, focusing on customer needs, attitudes and perceptions related to both agricultural and financial services; and,
• Detail how the financial needs of each segment are currently met, with both informal and formal services, and where there may be promising opportunities to add value.
Sample survey data [ssd]
Households
Scope
The CGAP national surveys of smallholder households used three questionnaires:
-
HOUSEHOLD QUESTIONNAIRE
Respondent: Head of the household, their spouse, or a knowledgeable adult
Content:
· Basic information on all household members (e.g. age, gender, education attainment, schooling status)
· Information about household assets and dwelling characteristics in order to derive poverty status. -
MULTIPLE RESPONDENT QUESTIONNAIRE
Respondents: All household members over 15 years old who contributed to the household income and/or participated in its agricultural activities
Content:
· Demographics (e.g. land size, crop and livestock, decision-making, associations and markets, financial behaviours)
· Agricultural activities (e.g. selling, trading, consuming crops, livestock, suppliers)
· Household economics (e.g., employment, income sources, expenses, shocks, borrowing, saving habits, investments) -
SINGLE RESPONDENT QUESTIONNAIRE
Respondent: One randomly-selected adult in the household
Content:
· Agricultural activities (e.g. market relationships, storage, risk mitigation)
· Household economics (e.g. expense prioritization, insurance, financial outlook)
· Mobile phones (e.g., usage, access, ownership, desire and importance)
· Formal and informal financial tools (e.g. ownership, usage, access, importance, attitudes toward financial service providers)
| Topic | Vocabulary |
|---|---|
| Agriculture & Rural Development | FAO |
| Food (production, crisis) | FAO |
| Land (policy, resource management) | FAO |
| Livestock | FAO |
| Access to Finance | FAO |
| Payment Systems | FAO |
| Financial Sector | FAO |
| Community Driven Development | FAO |
| Social Development | FAO |
| Information & Communication Technologies | FAO |
| Trade | FAO |
Coverage
National coverage
The universe for the survey consists of smallholder households defined as households with the following criteria:
- Household with up to 5 hectares OR farmers who have less than 50 heads of cattle, 100 goats/sheep/pigs, or 1,000 chickens
- Agriculture provides a meaningful contribution to the household livelihood, income, or consumption.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Jamie Anderson | The World Bank (GFMGP - CGAP) |
| Name | Affiliation | Role |
|---|---|---|
| Colleen Learch | InterMedia Survey Institute | Technical assistance |
Sampling
The CGAP smallholder household survey in Mozambique is a nationally-representative survey with a target sample size of 3,000 smallholder households. The sample was designed to provide reliable survey estimates at the national level and for the following regions:
- North region, comprised of the provinces of Niassa, Cabo Delgado, and Nampula;
- Centre region, comprised of Zambezia, Tete, Maica, and Sofala, Manica; and
- South region, consisting of Inhambane, Maputo Province, Maputo City and Gaza.
(a) SAMPLING FRAME
The sampling frame for the smallholder household survey is the 2009-2010 Census of Agriculture and Livestock (Censo Agro-Pecuário, CAP II) conducted by the Mozambique National Statistical Office (INE) and based on the 2007 Census of Population and Housing (2007 RGPH). CAP II is a large sample that was designed to be representative at the district level and its sample of enumeration areas (EAs) is considered as the master sample; for the national agricultural surveys. EAs with less than 15 agricultural households (mostly in urban areas) were excluded from the sampling frame for CAP II.
(b) SAMPLE ALLOCATION AND SELECTION
In order to take non-response into account, the target sample size was increased to 3,158 households assuming a household non-response rate of 5% observed in similar national households. The total sample size was first allocated to the three regions based on the number of agricultural households. Within each region, the resulting sample was further distributed proportionally to urban and rural areas. The sample for the smallholder survey is a stratified multistage sample. Stratification was achieved by separating urban and rural areas within each region. Since the CAP II master sample that was used as the sampling frame for the survey is stratified by district, rural and urban areas, the rural strata of the individual districts for the CAP II master sample were collapsed up to the province level, and the same for the urban strata within each province. However, the district was still used as a sorting variable in order to provide implicit stratification by district. At the first sampling stage the CAP II sample EAs were selected systematically with PPS within each district, rural and urban stratum, where the measure of size was the number of agricultural households in the census frame.
The full description of the sample design can be found in the user guide for this data set.
85.8 percent for single respondent questionnare and 92.5 percent for household questionnaire
The sample for the smallholder household survey is not self-weighting, therefore sampling weights were calculated. The first component of the weights is the design weight based on the probability of selection for each stage of selection. The second component is the response rate at both household and individual levels. The design weights for households were adjusted for non-response at the household level to produce adjusted household weights. Sampling weights for the multiple respondent data file were derived from adjusted household weights by applying to them non-response rates at the individual level. For the single respondent data file, the same process was applied after considering the sub-sampling done within the household. Finally, household and individual sampling weights were normalized separately at the national level, so the weighted number of cases equals the total sample size. The normalized sampling weights were attached to the different data files and used during analysis.
Data collection
| Start | End |
|---|---|
| 2015-07-23 | 2015-09-04 |
Data processing
During data collection, InterMedia received a weekly partial SPSS data file from the field which was analysed for quality control and used to provide timely feedback to field staff while they were still on the ground. The partial data files were also used to check and validate the structure of the data file. The full data file was also checked for completeness, inconsistencies and errors by InterMedia and corrections were made as necessary and where possible.
Data appraisal
The sample design for the smallholder household survey was a complex sample design featuring clustering, stratification and unequal probabilities of selection. For key survey estimates, sampling errors considering the design features were produced using either the SPSS Complex Sample module or STATA based on the Taylor series approximation method.
Following the finalization of questionnaires, a script was developed using Dooblo to support data collection on smart phones. The script was thoroughly tested and validated before its use in the field.
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | https://microdata.worldbank.org/index.php/terms-of-use |
Direct access.
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
Anderson, Jamie. 2016. National Survey and Segmentation of Smallholder Households in Mozambique: Household Level Data. Washington, D.C.: CGAP.
Disclaimer and copyrights
Rights and Permissions This work is available under the Creative Commons Attribution 3.0 Unported license (CC BY 3.0) http://creativecommons .org/licenses/by/3.0. Attribution-Cite the data as follows:
Anderson, Jamie. 2016. National Survey and Segmentation of Smallholder Households in Mozambique: Household Level Data. Washington, D.C.: CGAP.
License: Creative Commons Attribution CC BY 3.0
All queries on rights and licenses should be addressed to:
CGAP Publications,
1818 H Street, NW,
MSN IS7-700,
Washington, DC
20433
USA;
e-mail: cgap@world bank.org.
Contacts
| Name | Affiliation | |
|---|---|---|
| Anna Nunan | The World Bank (GFMGP - CGAP) | [email protected] |
Metadata production
DDI_MOZ_2015_SHS_v01_EN_M_v01_A_OCS_FAO
| Name | Affiliation | Role |
|---|---|---|
| Office of Chief Statistician | Food and Agriculture Organization | Adoption of metadata for FAM |
| Development Data Group | The World Bank | Documentation of the DDI |
Metadata version
MOZ_2015_SHS_v01_EN_M_v01_A_OCS_v01