Visadb Data Visualization
Explore who your country competes against, and for what skills and industries. Talent gain & drain map of 2015-2019 data.Visualize data
Origin of immigrants arrived in your country between 1992-2019Visualize Data
Explore Countrywise Skills Demand
Skill requirements are constantly changing. Explore top countries for each skill workers added.Visualize Data
Global skills demand
Global skills demand on Globally in all years
Q1. Who is behind this project?
This project is created by visadb.io - First digital marketplace to hire immigration, relocation and tax experts around the world. Visadb.io is funded by European Smart growth funds, Government of Chile and Poland innovation grants and MIT Enterprise forum acceleration. Learn more at visadb.io/about
Q2. What are the sources of data?
All the data is a public data available from multiple sources. Talent migration data is sourced and offered by Worldbank and LinkedIn partnership for digital development campaign. Immigration data is sourced from United Nations. All the data is processed from its original state to make meaningful visualizations.
Q3. What is the methodology used to compile the data?
LinkedIn members self-report their work experience and skills on their profiles, using more than 50,000 distinct, standardized skills classified by LinkedIn. These have been coded and classified by taxonomists at LinkedIn into 249 skill groups that are presented in this dataset; each is described in our methodology paper, together with methodology to extract, clean and validate the data against official sources where available. The data in this first phase of collaboration include countries that had at least 100,000 LinkedIn members at the end of 2017 to maximize confidence in our samples and data quality. All the data is processed from its original state to make meaningful visualizations.
Q4. Data quality & privacy of respondents
The project team has conducted data quality checks for all the countries included in the dataset and validated the data against 23 external data sources before publishing to the dashboard. Our assessments of the data’s representativeness are based on comparisons to the latest available data from ILOStat, a consolidated dataset of national labor surveys covering over 100 countries. Compared to workers overall, LinkedIn’s members are more likely to be young, technology-savvy, female, and from the ranks of business professionals. How members use the LinkedIn platform can vary based on professional, social, and regional culture, as well as overall LinkedIn website availability and accessibility in individual countries. Information on data standardization, validation and adjustments to reflect cultural and membership variances are detailed in the data’s methodology paper. All data shared under this collaboration is aggregated data to protect LinkedIn member privacy: each data point contains aggregated information of at least 50 members.
Q5. Is those data representative of the country economy?
Our initial comparisons to government surveys show that WBG-LinkedIn metrics have strongest representation in knowledge-intensive and tradable sectors, including: Financial Services, Professional Services, Information & Communication Technology (ICT), the Arts & Creative Industries, Manufacturing, and Mining/Quarrying. Tech-savvy, business professionals, youth, and women are also more likely to be on LinkedIn than the average worker. Our assessments of representativeness are based on comparisons to the latest available data from ILOStat, a consolidated dataset of national labor surveys covering over 100 countries. In general, the metrics represent the world as seen through the lens of LinkedIn data, which is influenced by how LinkedIn members choose to use the platform. This can vary based on professional, social, and regional culture, as well as overall site availability and accessibility in individual countries. These variances cannot be fully accounted for in the analysis and is detailed in the methodology paper here.
Q6. Why does my country not appear in the data or visualizations?
The data only show countries that had at least 100,000 LinkedIn members at the end of 2017 to maximize confidence in our samples and data quality. The team will add more countries as they cross this threshold in the next data refresh.
Q7. Will there be new metrics added to this dataset and online visual?
Yes, though this is subject to end-user demand and feedback. The project team will monitor downloads and citations of this dataset to assess demand.
Q8. Can we develop the data charts for our website?
Yes, email us at firstname.lastname@example.org