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Mobility Data Across French Territory: Northwest metropolis - H1 2024

Provided By: Orange Business

Mobility Data Across French Territory: Northwest metropolis - H1 2024

Provided By: Orange Business

Flux Vision utilizes data from Orange mobile networks to generate reliable statistics on population attendance and mobility reflecting business insights. Our algorithms ensure irreversible anonymization by deleting all personal data, making it impossible to identify individuals in compliance with the GDPR. By capitalizing on a deep understanding of network evolution and its communication with the ever-evolving mobile device fleet, it employs a probabilistic approach to observe human mobility

Product offers

The following offers are available for this product. Choose an offer to view the pricing and access duration options for the offer. Select an offer and continue to subscribe. Your subscription begins on the date that your request is approved by the provider. Additional taxes or fees might apply.

Public offer

Payment schedule: Upfront payment | Offer auto-renewal: Not supported
$37,122 for 24 months

Overview

Our data overview

Data represent the population distribution according to overnight stay or usual activity zone calculated over the last 14 days

Data are aggregated by typical days of the month for H1 2024

The dataset includes all areas from Northwest French metropolis: Brest Metropolis, Nantes Metropolis, Orleans Metropolis, Rennes Metropolis, Rouen Normandie Metropolis, Tours Val de Loire Metropolis

Areas are based on the regroupment of French IRIS  statistical areas

Zoning maps and geojson are also availables in the dataset

Free demo data  

 

Our metadata

DescriptionValue
Update FrequencySemestrial
Data Source(s)Orange mobile network technical events & CRM data
Original Publisher of dataFlux Vision, Orange Business
Data Creation Date2024
Data Modification DateNo modification applicable
Geographic coverageFrance
Time period coverage2024
Is historical dataYES
Data Sets FormatsZipped CSV files
Raw or scraped dataAnonymous and extrapolated statistics

 

 

Our usescases

  • Study the usual occupation of the territory to size your activities: Analyze population density and movement patterns to optimize the allocation of resources and services
  • Create an up-to-date observatory of the French territory: Develop a comprehensive and current overview of population dynamics and mobility trends
  • Determine how the population is distributed according to nationality or departmental origin: Understand demographic distributions to tailor services and policies effectively
  • Deploy your service where the demand is more concentrated: Identify high-demand areas to strategically position your services for maximum impact
  • Measure usual flow patterns: Track regular movement patterns to improve infrastructure planning and service delivery
  • Analyze passenger flows between domicile and work areas: Examine commuting trends to enhance transportation networks and reduce congestion  

 

Our delivered files

  • File 1 Population_UsualActivityArea.csv
PeriodWeekdayTypeUsualActivityAreaVolume
202401SaturdayNational90229269
202401SundayInternational90717942
202401MondayNational91720884
  • File 2 Population_UsualOvernightArea.csv
PeriodWeekdayTypeUsualOvernightAreaVolume
202401SaturdayNational90229269
202401SundayInternational90717942
202401MondayNational91720884
  • File 3 Population_UsualActivityArea-UsualOvernightArea.csv
PeriodWeekdayTypeUsualActivityAreaUsualOvernightAreaVolume
202401SaturdayNational9022929022925255
202401SundayInternational907179907179951
202401MondayNational91720891720814471
  • File 4 Population_DailyAttendance.csv
PeriodWeekdayZoneTypeVolume
202401Saturday900363National5255
202401Sunday900363International951
202401Monday900516National14471
  • File 5 Population_1hAttendance.csv
PeriodWeekdayHourZoneTypeVolume
202401Saturday00:00-01:00900516National16 022
202401Sunday06:00-07:00900516International3462
202401Monday21:00-22:00901596National3 197
  • File 6 Population_DailyAttendance-ResidenceArea.csv
PeriodWeekdayZoneTypeProvinceDepartementVolume
202401Saturday900363NationalCentre-Val de LoireIndre-et-Loire102
202401Sunday900363NationalGrand EstBas-Rhin146
202401Monday900516NationalIle-de-FranceEssonne20
  • File 7 Population_DailyAttendance-Nationality.csv
PeriodWeekdayZoneTypeNationalityVolume
202401Saturday900363InternationalGermany102
202401Sunday900363InternationalBelgium146
202401Monday900516InternationalBrazil20

 

  Our data dictionary ---

  • Period: Period of study: year and month format yyyymm
  • Weekday: Day of the week: Monday, Tuesday...
  • Hour: Hourly timeslot
  • Zone: Name or id of the area of study
  • Type: Type of visitor National International
  • Nationality: Name of country of origin for international visitors, based on nationality of the SIM card
  • Volume: Average volume of population mainly observed in the area by weekday for the specified period
  • Volume by activity area: Average volume of population mainly observed in the usual activity area, by weekday for the specified period
  • Volume by overnight area: Average volume of population mainly observed in the usual overnight area, by weekday for the specified period
  • Volume by origin: Volume of national population mainly observed in the area between 8am and 10pm and distributed by origin, by weekday for the specified period
  • UsualActivityArea: Usual place of stay during the day between 9am and 5pm over the past two weeks
  • UsualOvernightArea: Usual place of stay during the night between 12am and 6am over the past two weeks  

 

Our company:

Orange Business , the enterprise division of the Orange Group, is a leading network and digital integrator, supporting customers to create positive impact and digital business. Our priority is to help you focus on what matters most: the performance of your business. The combined strength of our next-generation connectivity, cloud, and cybersecurity expertise, platforms, and partners provides the foundation for enterprises around the world. To ensure you reap all the benefits of the cloud, including 24/7 availability, performance, and security of your most critical applications across all continents, we leverage the expertise embedded in our DNA as a telecom operator and cloud service provider

Fulfillment Method
AWS Data Exchange

Data sets (2)

You will receive access to the following data sets

Revision access rules
Last 1 revision | No future revisions
Name
Type
Data dictionary
AWS Region
Zoning maps and geojson
Not included
EU (Frankfurt)
Mobility Data Across French Territory: Northwest metropolis - H1 2024
Not included
EU (Frankfurt)

Usage information

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Support information

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No refund
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