ZWE_2010_ICT_v01_M
Information and Communication Technology Household Survey 2010
Rural Households
Name | Country code |
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Zimbabwe | ZWE |
Other Household Survey [hh/oth]
The Information Communication Technology Households Survey 2010 was the first (ICT) survey carried out in Zimbabwe by the Zimbabwe National Statistics Agency (ZIMSTAT) in collaboration with the Postal and Telecommunications Regulatory Authority of Zimbabwe (POTRAZ). The survey covered agriculture rural households only.
This is the first survey of its kind to be carried out in Zimbabwe. Its objective was to collect data on access and use of ICTs by households and individuals in order to measure the digital divide. The digital divide is defined as the gap between individuals, households, businesses, and geographical areas at different socioeconomic levels with regard to both their opportunities to access ICTs and their use of the Internet for a variety of activities. The digital divide reflects differences among and within countries in terms of access to and usage of information and communication technology.
Sample survey data [ssd]
Households, Individuals
The 2010 Zimbabwe Information and Communication Technology Household Survey covered the following topics:
The survey covered rural areas of the country.
Sample rural households.
Name | Affiliation |
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Zimbabwe National Statistics Agency | Ministry of Finance and Economic Development |
Name | Role |
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Government of Zimbabwe | Financial support |
Postal and Telecommunications Regulatory Authority of Zimbabwe | Funding and supervision |
Sample Design
The ICT Rural Household Survey collected information from 26483 rural agricultural households and in-scope individuals (for ICT usage questions) that live in the following areas:
· Communal Lands
· Old Resettlement Schemes (Models A, B2 and E)
· A1 Farms
· A2 Farms
· Large Scale Commercial Areas
· Small Scale Commercial Farming Areas
The sampling units used followed the structure of the sectors. Sampling units for Large Scale and Small Scale Commercial Farms were farms, for Communal Lands sampling units were households while for A1, A2, Models (A, B2 and E) sampling units were plot holders
In Communal Lands, Enumeration Areas (EAs) were selected using probability proportional to size (PPS) from a sampling frame stratified by province and district. The measure of size being the number of households enumerated in the 2002 Population Census. A complete listing of households in the selected EAs was carried out. The list was then used to select sample households using systematic random sampling.
In Large Scale Commercial Farms, sample farms were selected from the register of all Large Scale Commercial Farms which is stratified by province and district. The selection of farms was done using probability proportional to size, the measure of size being the farms area. The sample of farms is selected by systematic random sampling.
In Small Scale Commercial Farms, farms were selected from the register of Small Scale Commercial Farms. The selection of farms was done using probability proportional to size, the measure of size being the number of farms in the district. The sample of farms is selected by systematic random sampling.
A register of A1 Farms stratified by province and district was used for selection of A1 Farms. Selection of farms was done using probability proportional to size, the measure of size being the number of plot holders in each farm. A complete listing of plot holders is done and is used for the second stage sampling which is selection of plot holders using systematic random sampling.
A sample of A2 Farms is selected from a register of A2 Farms which is stratified by province and district. Selection of farms is done using probability proportional to size the measure of size being the number of plot holders in each farm. A complete listing of plot holders was done and was used for the second stage sampling which is selection of plot holders using systematic random sampling.
A sample of Model A Resettlement Schemes was selected from a register of Model A Resettlement Schemes which was stratified by province and district. Schemes are selected from each stratum using probability proportional to size, the measure of size being the number of villages in each scheme. Villages were then selected from each selected scheme using probability proportional to size the measure of size being the number of plot holders in each village. A complete listing of all plot holders in the selected villages was carried out. The list was used for the third stage sampling of plot holders using systematic random sampling from each of the selected village plot-holder list.
For Model B2 Resettlement Schemes a complete census was carried out. A complete listing of all plot holders in the schemes is carried out and the list is used for the selection of plot holders using systematic random sampling.
For Model E Resettlement Schemes a complete census is carried out. A complete listing of all plot holders in the schemes was carried out and the list was used for the selection of plot holders using systematic random sampling.
The overall response rate was 92%.
Structured ICTS questionnaire was used to collect the data. The questionnaire consisted of questions that would address specific ICTS issues relevant to Zimbabwe.
The household composition section was used to list all the usual members of the selected households. Basic information on the characteristics of each person listed including his/her name, age and sex were collected. The household composition information was used to identify persons eligible for the individual interviews. Other sections of the questionnaire collected information on educational status, labor force status, occupation, electricity access and access to and use of information and communication technologies (ICTs) by households and individuals.
Start | End |
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2010-10 | 2010-10 |
Name | Affiliation |
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Zimbabwe National Statistics Agency | Ministry of Finance |
Interviewing was conducted by teams of interviewers.
The role of the supervisor was to coordinte field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office.
The team leader was responsible for reviewing each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and checking for inconsistencies in the data. The team leader also observed interviews and conducted review sessions with interviewers.
Responsibilities of the supervisors and team leaders are described in the Instructions for Supervisors and Team Leaders document, together with the different field controls that were in place to control the quality of the fieldwork.
Field visits were also made by a team of Head office staff on a periodic basis during fieldwork.
Training
ZIMSTAT and POTRAZ staff participated in a 4 day Training of Trainers (TOT) workshop in early August 2010. Immediately following the TOT, the training of enumerators and pre-test fieldwork took place from mid-August 2010 to end of the month. The pre-test and fieldwork was conducted in Gweru and surrounding areas where both Ndebele and Shona speaking households could easily be identified. Debriefing sessions were held with the pre-test field staff and modifications were made drawing from lessons leant. The main training consisted of instructions regarding interviewing techniques and field procedures, a detailed review of items on the questionnaire and all the relevant instructions.
Fieldwork
About 470 enumerators collected data over a period of fifteen days during the months of October 2010. ZIMSTAT head-office statisticians, provincial supervisors and team leaders supervised the data collection exercise.
Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of SAS data files
Name | Affiliation | URL | |
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Zimbabwe National Statistics Agency | Ministry of Finance and Economic Development | www.zimstat.co.zw | info@zimstat.co.zw |
Confidentiality declaration text |
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Microdata from the Zimbabwe National Statistics Agency will be used for statistical and scientific research purposes only. The microdata will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the ZIMSTAT. |
Use of the dataset must be acknowledged using a citation which would include:
(c) Zimbabwe National Statistics Agency (ZIMSTAT)
Name | Affiliation | |
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Zimbabwe National Statistics Agency | Ministry of Finance and Economic Development | info@zimstat.co.zw |
DDI_ZWE_2010_ICT_v01_M
Name | Affiliation | Role |
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Zimbabwe National Statistics Agency | Ministry of Finance and Economic Development | Documentation of the study |
Development Economics Data Group | The World Bank | Review of the metadata |
2021-08-10
Version 02 (August 2021). Identical to a DDI published on Zimbabwe National Statistics Agency (ZIMSTAT) microdata catalog. Some of the metadata fields have been edited.