Sold by: Orange Business
Deployed on AWS
Flux Vision utilizes data from Orange mobile networks to generate reliable and extrapolated statistics on the global population. The solution delivers attendance and mobility data reflecting business insights. It converts on the fly millions of mobile network technical events into value added statistical Indicators to analyze how often different geographical areas are visited and how people move around. Flux Vision ensures irreversible anonymization making it impossible to identify individuals
Overview
Please note that it is a free demo dataset representing december 2023 data
For more up-to-date data and for more French territories, please check our others products
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 region and by typical days of the month for december 2023
The dataset includes all areas from Southwest French metropolis: Bordeaux metropolis, Toulouse metropolis and Montpellier Mediterrane metropolis
Areas are based on the regroupment of French IRIS statistical areas
Our Metadata
| Description | Value |
|---|---|
| Update Frequency | Semestrial |
| Data Source(s) | Orange mobile network technical events & CRM data |
| Original Publisher of data | Flux Vision, Orange Business |
| Data Creation Date | 2023 |
| Data Modification Date | No modification applicable |
| Geographic coverage | France |
| Time period coverage | december 2023 |
| Is historical data | YES |
| Data Sets Formats | Zipped CSV files |
| Raw or scraped data | Anonymous 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
| Period | Weekday | Zone | Type | UsualActivityArea | Volume |
|---|---|---|---|---|---|
| 202312 | Saturday | 900363 | National | 902292 | 69 |
| 202312 | Sunday | 900363 | International | 907179 | 42 |
| 202312 | Monday | 900516 | National | 917208 | 84 |
- File 2 Population_UsualOvernightArea.csv
| Period | Weekday | Zone | Type | UsualOvernightArea | Volume |
|---|---|---|---|---|---|
| 202312 | Saturday | 900363 | National | 902292 | 69 |
| 202312 | Sunday | 900363 | International | 907179 | 42 |
| 202312 | Monday | 900516 | National | 917208 | 84 |
- File 3 Population_UsualActivityArea-UsualOvernightArea.csv
| Period | Weekday | Type | UsualActivityArea | UsualOvernightArea | Volume |
|---|---|---|---|---|---|
| 202312 | Saturday | National | 902292 | 902292 | 5255 |
| 202312 | Sunday | International | 907179 | 907179 | 951 |
| 202312 | Monday | National | 917208 | 917208 | 14471 |
- File 4 Population_DailyAttendance.csv
| Period | Weekday | Zone | Type | Volume |
|---|---|---|---|---|
| 202312 | Saturday | 900363 | National | 5255 |
| 202312 | Sunday | 900363 | International | 951 |
| 202312 | Monday | 900516 | National | 14471 |
- File 5 Population_1hAttendance.csv
| Period | Weekday | Hour | Zone | Type | Volume |
|---|---|---|---|---|---|
| 202312 | Saturday | 00:00-01:00 | 900516 | National | 16 022 |
| 202312 | Sunday | 06:00-07:00 | 900516 | International | 3462 |
| 202312 | Monday | 21:00-22:00 | 901596 | National | 3 197 |
- File 6 Population_DailyResidenceArea.csv
| Period | Weekday | Zone | Nationality | Volume |
|---|---|---|---|---|
| 202312 | Saturday | 900363 | Germany | 102 |
| 202312 | Sunday | 900363 | Belgium | 146 |
| 202312 | Monday | 900516 | Brazil | 20 |
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
Details
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Deployed on AWS
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Delivery details
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Zoning maps and geojson | All historical revisions | All future revisions | Not included | Not included | ||
Mobility Data Across French Territory: Southwest metropolis - December 2023 | All historical revisions | All future revisions | Not included | Not included |
Resources
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