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The General Authority for Statistics (GASTAT) released the results of the Health and Safety at Workplace Statistics Publication for 2025. According to the results, the risk awareness index among workers aged 18 years and above reached 76.7%. The rate of occupational injuries among workers aged 15 years and above recorded 245 non-fatal injuries and 1.3 fatal injuries per 100,000 workers, excluding road traffic accidents.
The results showed that 51.8% of workers reported the availability of preventive measures implemented by their workplace, while 46.6% indicated the availability of at least one initiative aimed at facilitating daily work tasks. In addition, 34.5% of workers reported the availability of at least one resource provided by the work entity that supports their personal health.
The publication also indicated that Prolonged standing (for at least 4 hours per day) is the most common risk in the workplace, accounting for 25.3%, followed by Fatigue or working beyond one’s capacity at 16.7%. Regarding work-related health problems during the past twelve months, the results showed that work-related stress ranked first at 6%, followed by eye and vision problems at 3%.
It is worth noting that the Health and Safety at Workplace Statistics estimates are based on self-completion data collected from participants through household field visits under the National Health Survey 2025. Meanwhile, the occupational injury rate was calculated based on administrative records data from the National Council for Occupational Safety and Health.
 

The General Authority for Statistics (GASTAT) released the International Trade in Goods Publication for February 2026, which showed a 15.1% increase in non-oil exports, including re-exports, compared to February 2025. Non-oil national exports, excluding re-exports, also increased by 6.3%, while re-exported goods recorded a significant increase of 28.5%. This growth was driven by a 59.9% rise in exports of machinery, electrical equipment and parts, which accounted for 53.9% of total re-exports.
The results also showed a 4.7% increase in total goods exports and a 0.6% rise in oil exports, while their share of total exports declined from 71.5% to 68.7% over the same period. On the imports side, they recorded a 6.6% increase, which contributed to a 1.0% decline in the merchandise trade balance surplus compared to the same month of the previous year.
According to the publication’s results, China ranked as Saudi Arabia’s top trading partner in goods in February 2026, accounting for 13.7% of total exports and 29.8% of total imports. Followed by the United Arab Emirates, with 12.1% of exports and 8.0% of imports, while Japan ranked next with 9.3% of total exports. Saudi Arabia’s exports to its top 10 trading partners accounted for 67.7% of total exports, while imports from the top 10 partners represented 71.2% of total imports.
It is noteworthy that International Trade in Goods Statistics are based on administrative records obtained from the relevant authorities, including the Zakat, Tax and Customs Authority for non-oil data and the Ministry of Energy for oil data. These records undergo statistical processing and validation to ensure data quality and accuracy prior to publication.
 

The President of the General Authority for Statistics (GASTAT), Fahad Aldossari, participated in a panel discussion on “Statistics and Decision-Making: Leading Transformation for Sustainable Impact in the Era of Data", organized by King Saud University, represented by the College of Science. The session was held as part of efforts to enhance awareness of the importance of statistical data and its role in supporting sustainable development. The event was attended by the Dean of the College of Science, Dr. Zeid Alothman, along with several faculty members from the departments of Statistics and Operations Research, Mathematics, Quantitative Analysis, and Economics, as well as a group of specialists and experts in data and statistics.
During the session, Aldossari emphasized that GASTAT places great importance on building national capacities and empowering specialized expertise, given the importance of human capital in developing statistical work. He highlighted GASTAT’s efforts to promote statistical knowledge, disseminate data culture and indicators, and support decision-makers with accurate and reliable statistics. He also noted that GASTAT continues its statistical transformation journey by adopting digital technologies and artificial intelligence and by leveraging big data and administrative records, which contribute to enhancing the quality of statistical products and accelerating their production to meet the requirements of the data era.
He further noted GASTAT’s commitment to empowering youth and equipping them with future skills in statistics and data science, thereby enhancing their readiness to contribute to building a knowledge-based economy and achieving the objectives of Saudi Vision 2030.
It is worth noting that this participation comes as an extension of GASTAT’s ongoing efforts to strengthen its knowledge and community presence and to expand its partnerships with universities and academic institutions in a way that supports scientific research and contributes to preparing national talents capable of supporting the national development journey.

Fahad Aldossari, President of GASTAT, honored the winning teams in the Data Innovation Hackathon, along with partners and supporters represented by the Saudi Data and AI Authority (SDAIA), the Saudi Society for Artificial Intelligence and Intelligent Systems, the Professional Association for Statisticians and Data Scientists, and the Saudi Association for Statistical Sciences. The recognition took place during a ceremony held today at GASTAT’s headquarters in Riyadh.
The ceremony featured the announcement of the winning teams in the Hackathon, which GASTAT organized from 15 February to 15 April 2026. The Hackathon represents the first of its kind in leveraging innovation and modern technologies to advance statistical work. It was held as part of the “Road to Riyadh” series of events, in preparation for Saudi Arabia’s hosting of the Sixth United Nations World Data Forum in November 2026.
Aldossari emphasized that the Data Innovation Hackathon reflects GASTAT’s commitment to adopting modern technologies and leveraging artificial intelligence capabilities to advance statistical work. He noted that the solutions presented by participating teams demonstrate the high caliber of national talent and their ability to develop innovative solutions with sustainable impact. He added that GASTAT will continue to support qualitative initiatives that contribute to building an advanced data ecosystem and enhance Saudi Arabia’s position in the fields of statistics and innovation, in alignment with the objectives of Saudi Vision 2030.
The ceremony also featured a showcase of the winning projects, highlighting the most prominent innovative solutions that contribute to enhancing data collection and analysis processes and improving their efficiency, thereby supporting decision-makers with accurate and reliable indicators.
GASTAT explained that the Hackathon featured two main tracks, in which 132 teams competed, with 16 teams advancing to the final stage—eight teams in the Innovative Data Collection track using non-traditional data sources and eight teams in the Intelligent Processing and Classification track using artificial intelligence technologies.
The total value of the Hackathon prizes amounted to SAR 75,000, allocated to support and recognize the winning teams and to encourage the development of innovative solutions in the fields of data and statistics.
The judging process resulted in the selection of six teams that successfully presented innovative solutions that enhance the quality and reliability of official statistics. The winning teams were as follows: Hoarders, Athr, Ain, GigScope, Spondylus, and Optimizers.
It is noteworthy that the Data Innovation Hackathon represents an extension of GASTAT’s ongoing efforts to expand the use of modern technologies and to empower national talent—including students, academics, and professionals—to contribute to developing practical solutions to statistical challenges. This, in turn, enhances the data-driven economy and supports statistical work and its outputs, including results, reports, and indicators.