CGAP Financial Diaries with Smallholder Households 2014-2015
Mozambique, 2014 - 2015
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Reference ID
MOZ_2014_FDSH_v01_EN_M_v01_A_OCS
Producer(s)
Jamie Anderson, Wajiha Ahmed, Daryl Collins
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Metadata
Created on
Sep 25, 2020
Last modified
Nov 08, 2022
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Identification
Survey ID Number
MOZ_2014_FDSH_v01_EN_M_v01_A_OCS
Title
CGAP Financial Diaries with Smallholder Households 2014-2015
Country
| Name | Country code |
|---|---|
| Mozambique | MOZ |
Study type
Other Household Survey [hh/oth]
Series Information
The study was conducted in 3 countries: Mozambique, Tanzania, and Pakistan. This is the study series is from Mozambique.
Abstract
In order to elucidate the financial lives of smallholder households and build the evidence base on this important client group, Consultative Group to Assist the Poor (CGAP) of the World Bank launched the year-long Financial Diaries with Smallholder Families (the "Smallholder Diaries"). The study captured the financial and in-kind transactions of 270 households in Tanzania, Pakistan and Mozambique, of which 93 households are in impoverished northern Mozambique. The sample came was drawn from 3 villages in Mozambique. Villages were selected based on their involvement in agriculture, and convenience in reaching them. Between June 2014 and July 2015, enumerators visited sample families every fortnight to conduct comprehensive face-to-face interviews to track all the money flowing into and out of their households.
Kind of Data
Event/transaction data [evn]
Unit of Analysis
Households
Scope
Notes
DEMOGRAPHICS FILE:
-Gender
-Age
-Marital status
-School enrolment
-Highest level of education
-Native language
-Whether they can read/ write
CASH FLOWS FILE:
- Acquisition/ loss/sale of physical assets
- Crop tracker (weddings, births, etc.)
- Crop tracker ( harvests, sale, consumption, and loss of each crop)
- Financial inflows and outflows
- Equalisation modules:
· Risk
· Aspirations
· Agriculture
· Financial tools
· Labour decisions
-Gender
-Age
-Marital status
-School enrolment
-Highest level of education
-Native language
-Whether they can read/ write
CASH FLOWS FILE:
- Acquisition/ loss/sale of physical assets
- Crop tracker (weddings, births, etc.)
- Crop tracker ( harvests, sale, consumption, and loss of each crop)
- Financial inflows and outflows
- Equalisation modules:
· Risk
· Aspirations
· Agriculture
· Financial tools
· Labour decisions
Topics
| Topic | Vocabulary |
|---|---|
| Financial Sector | FAO |
| Access to Finance | FAO |
| Payment Systems | FAO |
| Agriculture & Rural Development | FAO |
| Food (production, crisis) | FAO |
| Labor Markets | FAO |
Coverage
Geographic Coverage
Village level
Universe
Once the villages for the Smallholder Diaries were selected, the research teams used a screening process to help identify a range of families with 5 acres of land or less, diverse income sources, access to agricultural inputs, wealth levels, and crops to participate in the research. In Mozambique, these eligible households were identified using a participatory rural appraisal wealth-ranking technique. Working with committees of village representatives, the research teams conducted wealth-ranking exercises to assess the relative wealth of households in village hamlets or subareas.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Jamie Anderson | World Bank Group |
| Wajiha Ahmed | Bankable Frontier Associates |
| Daryl Collins | Bankable Frontier Associates |
Producers
| Name |
|---|
| International Capital Corporation |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Bank Group | WBG | Funded the study |
Sampling
Sampling Procedure
The methodology and sample size of the Smallholder Diaries was designed to generate a rich pool of detailed information and insights on a targeted population. The Smallholder Diaries are not intended to be statistically representative of smallholder families in participating countries. Total number of households in sample: 93 (Mozambique) and the sample was drawn from 3 villages. Villages were selected based on their involvement in agriculture, and convenience in reaching them. The research teams used a screening process to help identify a range of families with 5 acres of land or less, diverse income sources, access to agricultural inputs, wealth levels, and crops to participate in the research. In Mozambique, these eligible households were identified using a participatory rural appraisal wealth-ranking technique. Working with committees of village representatives, the research teams conducted wealth-ranking exercises to assess the relative wealth of households in village hamlets or subareas.
Deviations from the Sample Design
The sample initially included 286 households in all three countries, and the study ended with 273 households in total - an attrition rate similar to what has been observed in the past in similar Financial Diaries exercises. Households left the study due to moving from the study villages, seasonal migration, and occasionally by the prompting of the research team due to concerns about the household's willingness to be forthcoming about important sources of income.
Response Rate
Approximately 95 percent
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2014-06 | 2015-07 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Processing
Data Editing
The data was collected through face to face interviews, using a computer tablet preloaded with the data collection software and all previously recorded data. The tablets were synchronized each day so that all collected data was uploaded to the server and the tablet would receive the latest version of the database.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Anna Nunan | World Bank Group | [email protected] |
Confidentiality
https://microdata.worldbank.org/index.php/terms-of-use
Access conditions
https://microdata.worldbank.org/index.php/terms-of-use
Citation requirements
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
Example:
World Bank. Mozambique CGAP Financial Diaries with Smallholder Households 2014-2015. Ref. MOZ_2014_FDSH_v01_M. Dataset downloaded from [URL] on [date].
- 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
Example:
World Bank. Mozambique CGAP Financial Diaries with Smallholder Households 2014-2015. Ref. MOZ_2014_FDSH_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
Disclaimer
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 work as follows: Anderson, Jamie, and Wajiha Ahmed. 2016. "Smallholder Financial Diaries Datasets." 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: [email protected] bank.org.
Metadata production
DDI Document ID
DDI_MOZ_2014_FDSH_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption of metadata for FAM |
| Development Data Group | DECDG | The World Bank | Documentation of DDI |
DDI Document version
MOZ_2014_FDSH_v01_EN_M_v01_A_OCS_v01