True Zimbabwe RDD Sample for National Representative Data

Our Zimbabwe RDD sample is the backbone of global telephone surveys, opinion polling and social research. The industry Gold Standard RDD Sample is used by over 350 Think Tanks, government agencies, fieldwork agencies and corporate clients.

Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
RDD Portfolio

Going beyond random sampling for Zimbabwe

Our random sampling is backed by a transparent methodology and enhanced filtering for fieldwork efficiency.

Mobile RDD Sample

Expand your reach with an updated mobile RDD sample including provider information covering every single phone number in Zimbabwe

Dual-Frame RDD sample for Zimbabwe

The mixed Dual-Frame approach mode combines both landline and mobile and is designed to reduce bias data, increase the response rate and reach a larger audience. In some countries such as Zimbabwe, older respondents or females can be reached easier this way.

 

Landline RDD Sample

Sample Solutions provides a fully geo-coded landline RDD sample with removed business listings to the market research industry. Keep in mind that the landline share has been declining in Zimbabwe.

150

RDD records delivered

190

Countries Covered

350

RDD Projects annually

Full Coverage
Full Coverage
Coverage

Our Zimbabwe RDD sample connects with 13 million individuals for your research.

In Zimbabwe, the use of landline numbers has significantly decreased in recent years due to the widespread adoption of mobile phones. According to the Postal and Telecommunications Regulatory Authority of Zimbabwe (POTRAZ), mobile cellular subscriptions surpassed fixed telephone lines in 2002, and the gap has only continued to widen since then. As of 2020, mobile penetration in Zimbabwe was reported at 94.6%, while fixed-line penetration was only at 0.94%. This data clearly shows that mobile phones are more frequently used in the country compared to landline numbers. The shift towards mobile phones can be attributed to several factors, including the convenience and affordability of mobile devices, as well as the expansion of mobile networks in rural areas. Mobile phones have become essential tools for communication, banking, and accessing the internet in Zimbabwe, making them a popular choice for both urban and rural residents. Overall, it is evident that landline numbers are becoming increasingly obsolete in Zimbabwe, as mobile phones continue to dominate the telecommunications market. As technology continues to advance, it is likely that mobile penetration will continue to grow, further solidifying the position of mobile phones as the primary means of communication in the country.

Sample Solutions for methodological sampling

The RDD sample Zimbabwe provided comes with full country information such as frame coverage, potential bias or mobile & landline access data.

Fast Turnaround Time

Fast Turnaround Time

90% of our RDD orders are delivered within 24 hours.

Open Methodology

Open Methodology

No blackbox – the sample is fully documented.

Full Sampling Info

Full Sampling Info

Frame sizes, coverage data, population data is available.

Full coverage for Zimbabwe

Full coverage for Zimbabwe

Our Zimbabwe RDD sample provides access to every mobile respondent in the country.

Close to full coverage

Close to full coverage

Most countries have close to full phone coverage.

Full Probability

Full Probability

We do not work with lists – it is true probability sampling.

Testimonials

Sample some of our Testimonials

Past Projects

Sampling coverage when other modes fail.

Some of our previous projects included surveys in Crimea, Greenland, data collection in Syria as well as Afghanistan. We can sample when other data collection modes are close to impossible. With all these countries covered, you understand why sampling for Zimbabwe is not an issue for us.

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ESRA Presentation

Big Data Matching

Using Big Data applications to Decrease The  Coverage Error and Sample Bias in European Establishment Surveys

AAPOR Poster

IVR Phone Surveys

Screened mobile sample for IVR surveys in developing countries 2020 Paper – The case of Sri Lanka and Ecuador

WAPOR Presentation

From CAPI to CATI

By looking at Greece and comparing a Face-2-Face and CATI study using our RDD Dual-Frame RDD Sample

Recognized by global standards

A yearly re-certification for ISO 27001, ISO 20252 in combination with a dedicated policy document, sampling methodologies and quality structure ensures enterprise level sampling quality.

RDD Sample Process

Our Zimbabwe RDD Sample Generation

Over the years, we built a comprehensive RDD frame for Zimbabwe to fit various needs for conducting international projects and we have worked hard to earn a trusted network of customers all based on a solid methodology.

Sampling Frame

The sampling frame for Zimbabwe consists of every single possible number combination.

Raw RDD Generation

The raw RDD sample is created based on clients’ specifications (NatRep or customized)

Number Processing

All numbers are screened and the disconnected numbers are removed from the sample.

Post-Processing

Post-processing involves adding necessary strata inspection and quality checks.

Frequently Asked Questions

Got any questions about sampling for Zimbabwe using RDD? We’re here to help

A respondent asked me where the data came from?

As data controller you can provide them with a link to our data subject request and we can pick it up from there.

Which other countries apart from Zimbabwe do you cover?

Our database is global in terms of coverage. However through Western Europe and North America we have the best in-country coverage and depth of data.

Do named contacts come with the company data?

We generally have the owner or Managing Director as contact. If needed we can add other direct contact people that are relevant for your research.

How long is the delivery time?

Turnaround time is usually 2-3 working days.

I have a file but miss some data points - can you help?

No problem, take a glance at our data enrichment options which can help you to enrich missing data points.

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