Yango Rider Daily Routine in Kathmandu: What Does a Typical Day Look Like?
Working as a Yango rider in Kathmandu can look different from one rider to another. Some riders use Yango as a full-time job, while others ride part-time before or after another job. Your daily routine may also change depending on your location, traffic, weather, personal schedule, and the number of rides you receive. If you are thinking about becoming a …
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Best Bikes Suitable for Yango Riders in Nepal
Choosing the right motorcycle is important for anyone planning to become a Yango rider in Nepal. A suitable bike can help riders manage daily trips, fuel costs, maintenance, passenger comfort, and long hours on the road. For riders who plan to use their motorcycle regularly for Yango, factors such as fuel efficiency, reliability, maintenance cost, riding comfort, spare-parts availability, and …
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New Tax Implications for Yango Drivers in Nepal: 5% VAT and 1% TDS
Yango drivers in Nepal are now operating under a new tax framework introduced for ride-sharing services. From Shrawan 1, 2083 (17 July 2026), ride-sharing platforms must handle a 5% VAT on applicable transport and delivery services, while a separate 1% advance income tax applies to payments made to individuals providing services through the platform. For drivers, the important thing is …
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How Riders Can Increase Their Earnings During Dashain and Tihar
Dashain and Tihar change the way people move around Kathmandu. Family visits, shopping, airport travel, celebrations and gatherings can create periods when more people need rides. For Yango riders, this can mean more opportunities to complete trips. But working longer hours alone does not guarantee higher earnings. A better approach is to identify when demand is stronger, make good use …
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How Does the Yango Pool System Work and How Does It Affect Order Distribution?
Getting trip requests is a major part of every driver’s daily work, but the number of requests can change from one location or time to another. You may be online and ready to work, yet receive fewer orders than expected, while another driver may quickly receive a new request. This is because trip requests are distributed automatically based on real-time …
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