True Egypt RDD Sample for National Representative Data

Our Egypt 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 Egypt

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 Egypt

Dual-Frame RDD sample for Egypt

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 Egypt, 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 Egypt.

150

RDD records delivered

190

Countries Covered

350

RDD Projects annually

Full Coverage
Full Coverage
Coverage

Our Egypt RDD sample connects with 106 million individuals for your research.

In Egypt, mobile phones have become the dominant form of communication, with landline numbers becoming less commonly used. According to data from the World Bank, mobile phone penetration in Egypt reached 100% in 2018, indicating that there are as many mobile phone subscriptions as there are people in the country. This high level of mobile phone usage is due to the widespread availability of affordable smartphones and mobile phone plans. In contrast, landline numbers are less commonly used in Egypt. According to the Telecommunications Regulatory Authority, there were approximately 6.2 million fixed telephone lines in the country as of 2019, compared to over 100 million mobile phone subscriptions. This disparity is likely due to the convenience and mobility offered by mobile phones, as well as the decreasing cost of mobile phone plans. Overall, it is clear that mobile phones are more frequently used in Egypt compared to landline numbers. The high penetration rate of mobile phones in the country indicates that they have become an essential tool for communication and connectivity for the majority of the population.

Sample Solutions for methodological sampling

The RDD sample Egypt 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 Egypt

Full coverage for Egypt

Our Egypt 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 Egypt is not an issue for us.

europe map
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 Egypt RDD Sample Generation

Over the years, we built a comprehensive RDD frame for Egypt 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 Egypt 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 Egypt 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 Egypt 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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