Zambia - FinScope 2005, Financial Inclusion

Primary tabs

The FinScope 2005 was a nationally representative survey measuring access, usage, perceptions and demand patterns on financial services and issues to create insights into how consumers source their income and manage their financial lives. The survey aimed to establish credible benchmarks and indicators of access, provide insights into regulatory and market obstacles to growth and innovation, and highlight opportunities for policy reform and innovation in product development and delivery.

Type: 
Microdata
Acronym: 
FSDZ 2005
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Zambia
Economy Coverage: 
Economy Coverage not specified
Release Date: 
October 17, 2019

Last Updated

Last Updated: 
October 17, 2019

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
10846
Version Description: 
Version 01 (October 2019). This version is identical to DataFirst documentation version (zmb-fsdz-zamfs-2005-v1) except for the following fields that were edited by the World Bank: Document ID and Study ID.
Publisher Name: 

DataFirst; University of Cape Town

Funding Name, Abbreviation, Role: 
Department for International Development, Swedish International Development Agency
Study Type: 
Other Household Survey [hh/oth]
Series Information: 
The first FinScope survey was conducted in 2006, covering 2005, to inform the Government of Zambia’s comprehensive strategy for strengthening and broadening the Zambian financial sector under the Financial Sector Development Plan (FSDP), which run from 2004 to 2009 under Phase I and 2010 to 2015 under Phase II.
Universe: 
The survey covered all usual household residents age 16 and above in Zambia.
Primary Investigator Name, Affiliation: 
Finmark Trust
Sampling Procedure: 
The sampling frame was based on data generated by the 2000 Zambian Population Census. 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. 160 EAs were selected with probability proportional to size. Within each EA 25 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. We should therefore expect the sample population to be equal to 4000 (160 EAs in which 25 households were selected). The report states that, "a CSO senior statistician has assisted FinMark Trust in the cleaning and weighting of the FinScope dataset, and the comparison of the FinScope sample to the Zambia Census 2000 data to assess the representation of the FinScope sample to Zambia's overall adult population." We interpret this as meaning that the sample was weighted to match estimated Zambian population proportions based on demographic models informed by the Zambian Census 2000. It is unclear from the report the exact methodology used for the calibration of the post-stratified weights.
Deviations from Sample Design: 
The sample is two observations short of what is expected. It is unclear from the available documentation why those two observations were omitted.
Weighting: 
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. Final_weights_2: the application of this weight variable yields the correct proportions but does not inflate in line with estimates of target population.
Questionnaires: 
A single questionnaire was used for the Zambia FinScope 2005. The FinScope core questionnaire was adapted to the Zambian context in close consultation with FSDP Working Groups and other financial sector stakeholders. The questionnaire is provided as an external resource.
Data Collector(s) Name: 
De Chazal du Mee
Data Editing: 
The original version of the Zambian FinScope 2005 had a large number of geographic variables, many of which ended up being excluded. Some were excluded because they weren't 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.
Other Processing: 
Individuals: age, financial services used, financial behavior, knowledge of financial products and institutions, bank status, access to transport, constraints on financial product access, unexpected events, self-reported quality of life, employment, asset ownership, insurance, credit access, business operations, savings behavior, cellphone access, household facilities, psychological health, marital status, education, language, literacy.
Other Forms of Data Appraisal: 
The data file received by DataFirst is two observations short of what was expected. That is, there are 3998 observations in the data file when there should be 4000.
Access Authority Name, Affiliation, Email: 

University of Cape Town

No Visualizations Available.

FinMark Trust. Zambia Finscope 2005 [dataset]. Version 1. Lusaka: FinMark Trust [producer], November 2006. Cape Town: DataFirst [distributor], 2017. https://doi.org/10.25828/5nwm-q955

The FinScope 2005 was a nationally representative survey measuring access, usage, perceptions and demand patterns on financial services and issues to create insights into how consumers source their income and manage their financial lives. The survey aimed to establish credible benchmarks and indicators of access, provide insights into regulatory and market obstacles to growth and innovation, and highlight opportunities for policy reform and innovation in product development and delivery.

FieldValue
Modified Date
2019-10-21
Release Date
Identifier
c81f0680-f1bc-4e8e-a2ad-29ddbd6e819f
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Acronym: 
FSDZ 2005
Type: 
Languages Supported: 
Access Authority Name, Affiliation, Email: 
University of Cape Town
Weighting: 
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. Final_weights_2: the application of this weight variable yields the correct proportions but does not inflate in line with estimates of target population.
Data Collector(s) Name: 
De Chazal du Mee
Other Forms of Data Appraisal: 
The data file received by DataFirst is two observations short of what was expected. That is, there are 3998 observations in the data file when there should be 4000.
Economy Coverage: 
Primary Investigator Name, Affiliation: 
Finmark Trust
Funding Name, Abbreviation, Role: 
Department for International Development, Swedish International Development Agency
Publisher Name: 
DataFirst; University of Cape Town
Version Description: 
Version 01 (October 2019). This version is identical to DataFirst documentation version (zmb-fsdz-zamfs-2005-v1) except for the following fields that were edited by the World Bank: Document ID and Study ID.
Subtitle: 
Financial Inclusion
Universe: 
The survey covered all usual household residents age 16 and above in Zambia.
Geographical Coverage: 
Data Classification of a Dataset: 
Series Information: 
The first FinScope survey was conducted in 2006, covering 2005, to inform the Government of Zambia’s comprehensive strategy for strengthening and broadening the Zambian financial sector under the Financial Sector Development Plan (FSDP), which run from 2004 to 2009 under Phase I and 2010 to 2015 under Phase II.
Sampling Procedure: 
The sampling frame was based on data generated by the 2000 Zambian Population Census. 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. 160 EAs were selected with probability proportional to size. Within each EA 25 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. We should therefore expect the sample population to be equal to 4000 (160 EAs in which 25 households were selected). The report states that, "a CSO senior statistician has assisted FinMark Trust in the cleaning and weighting of the FinScope dataset, and the comparison of the FinScope sample to the Zambia Census 2000 data to assess the representation of the FinScope sample to Zambia's overall adult population." We interpret this as meaning that the sample was weighted to match estimated Zambian population proportions based on demographic models informed by the Zambian Census 2000. It is unclear from the report the exact methodology used for the calibration of the post-stratified weights.
Deviations from Sample Design: 
The sample is two observations short of what is expected. It is unclear from the available documentation why those two observations were omitted.
Release Date: 
Thursday, October 17, 2019
Last Updated Date: 
Thursday, October 17, 2019
Questionnaires: 
A single questionnaire was used for the Zambia FinScope 2005. The FinScope core questionnaire was adapted to the Zambian context in close consultation with FSDP Working Groups and other financial sector stakeholders. The questionnaire is provided as an external resource.
Data Editing: 
The original version of the Zambian FinScope 2005 had a large number of geographic variables, many of which ended up being excluded. Some were excluded because they weren't 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.
Other Processing: 
Individuals: age, financial services used, financial behavior, knowledge of financial products and institutions, bank status, access to transport, constraints on financial product access, unexpected events, self-reported quality of life, employment, asset ownership, insurance, credit access, business operations, savings behavior, cellphone access, household facilities, psychological health, marital status, education, language, literacy.
Harvest Source: 
Harvest System ID: 
10846
Citation Text: 
FinMark Trust. Zambia Finscope 2005 [dataset]. Version 1. Lusaka: FinMark Trust [producer], November 2006. Cape Town: DataFirst [distributor], 2017. https://doi.org/10.25828/5nwm-q955
Modified date: 
18186
Study Type: 
Other Household Survey [hh/oth]
Primary Dataset: 
Yes

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