The FinScope survey tool was developed by FinMark Trust as a nationally representative survey of consumer perceptions about financial services and issues. FinScope provides insights into how people source their income and manage their financial lives. It looks at the use of, and demand for, financial services as well as attitudes, vulnerability, coping behavior and consumption patterns. By exploring the use of informal as well as formal financial products, FinScope aims to create a picture of the role that the formal and informal sectors play in a country's financial market.
Kind of data
Sample survey data [ssd]
v1.0: Edited, anonymized dataset for public distribution.
This version was first received by DataFirst from Financial Services Deepening Zambia (FSDZ) in November 2016. This is the first version that has been made available for public release.
Unit of analysis
The survey covered all usual household residents age 16 and above in Zambia.
Producers and sponsors
Bank of Zambia
Private Sector Development Reform Programme
Much like the previous survey in the series, the FinScope 2005 used a stratified, multi-stage cluster sampling approach. Stratification was done at the province and urban/rural level before cluster sampling was performed using enumerator areas as PSUs. The sampling frame for the survey was developed by the Zambian Central Statistical Office (CSO) based on the 2000 Zambian population census. The survey used three-stage stratified cluster sampling to create the sample population. Stratification was done at the province and urban/rural levels before cluster sampling was performed using enumerator areas as PSUs. 400 EAs were selected with probability proportional to size. Within each EA, 10 households were randomly selected. In the third stage, one eligible (aged 16 and above) member of the household was randomly selected using a Kish grid. Further details of the sampling methodology are provided in Annex 1 of the final report for the 2009 Zambian FinScope.
Final_weight: this weight variable appears to be the post-stratified weight. When applied, it gives population totals that agree with what we assumed is a demographic model informed by Zambian Census 2000 figures.
Dates of collection
Mode of data collection
A single questionnaire was used for the Zambian FinScope 2009. The questionnaire design phase included 14 focus group discussions and the facilitation of a stakeholder workshop in August 2009, which was attended by a broad cross-section of stakeholders within the financial sector.
These activities assisted in adapting the FinScope Zambia 2005 questionnaire to include notable developments that had taken place in Zambia’s financial sector and economy as a whole since the first survey was conducted, while at the same time allowing for comparisons with the 2005 data.
The revised questionnaire was translated into Zambia’s seven vernacular languages and included questions on the following topics:
• Household information and demographics
• Farming and fishing
• Income and expenditure
• Access to infrastructure
• Financial literacy and awareness
• Attitudes and perceptions towards finance
• Product penetration and banking
• Informal finance
Central Statistics Office
M & N Associates
Prior to data capture, a data entry programme was developed, tested and refined using the Census and Survey Processing (CSPro) software package. This process was carried out in close consultation with FinMark Trust to ensure that the survey indicator values could be calculated. Nine data operators and two data supervisors were trained to familiarize them with the data entry programme and also to facilitate their understanding of the questionnaire.
The completed questionnaires were checked before being captured. Data inputting was carried out from November to December 2009, after which the data was cleaned, weighted, validated and converted into Statistical Package for the Social Sciences (SPSS) software. Following the submission of preliminary findings to the FSDP Secretariat by FinMark Trust, a second validation procedure was performed in January using additional population projections and other survey data. This resulted in slight adjustments to the weighting. Further information on the cleaning, weighting and validation process is available in Annex 2 of the 2009 Report.
DataFirst did some editing of the data before release. The original version of the Zambian FinScope 2009 had a large number of geographic variables, many of which ended up being excluded. Some were excluded because they weren't actually usable without a private codebook, others because they could potentially lead to identification of individuals in the dataset. The final set of geographic variables included were province, district, and an urban/rural binary variable.
The original datafile also contained a number of variables that detailed surveyor, supervisor, and visitation information. These were also excluded from the distributed datafile. Also excluded were variables used only for informing placement in the Kish grid.
University of Cape Town
Public use data, available to all
FinMark Trust. Zambia Finscope 2009 [dataset]. Version 1.0. Lusaka: FinMark Trust [producer], June 2010. Cape Town: DataFirst [distributor], 2017. https://doi.org/10.25828/0sh5-cs81
University of Cape Town
Version 01 (October 2019). This version is identical to DataFirst documentation version (zmb-fsdz-zamfs-2009-v1) except for the following fields that were edited by the World Bank: Document ID and Study ID.