1. The Question
The labor market in Kenya is characterized by the failure to provide adequate employment for the large number of youth entering the market. The current estimates of youth unemployment range from 14% to 24%, with the vast majority of new labor market entrants being taken up in the informal sector, neither in agriculture nor formal employment. As indicated by the 2025 KNBS Economic Survey, the informal sector provided close to 700,000 jobs in 2024, which comprised more than 90% of total new jobs excluding small scale agriculture. The boda boda sub-sector in this informal economy forms one of the most prominent, fastest growing, and well-documented aspects.
According to industry estimates, the sub-sector provides around one million riding jobs (80% of riders under the age of 35) and earns revenues ranging from 400 million to 1 billion shillings per day. This paper seeks to answer a particular microeconomic question: is the boda boda sector functioning as a genuine labor-market buffer that meaningfully offsets youth unemployment, or is it primarily reclassifying unemployment as low-productivity self-employment without improving underlying welfare or productivity?
This presents us with the canonical problem in development economics, in dual economy models informal self-employment has always been taken to be the part of the economy that receives surplus labor not needed in the formal sector, but boda bodas present an unusually clear test case, because access depends on a priceable asset (a motorcycle).
2. The Microeconomic Mechanism
In the classical Harris-Todaro model of urban labor markets, informal sector employment is viewed as an equilibrium adjustment to scarcity of formal employment: workers wait in queues for scarce formal sector employment opportunities while simultaneously earning informal sector income (which earns less than expected formal sector wages). This helps explain why underemployed youth may join in boda boda driving, but does not help understand why the particular mode of entry into employment, motorcycle taxi driving, has proliferated as rapidly as it has, or why growth has been so unevenly realized over time.
The more specific dynamic in play is one of a credit-constrained occupational choice, one more along the lines of studies of investment returns among the poor (Banerjee & Duflo’s “economic lives of the poor”; de Mel, McKenzie & Woodruff’s randomized experiments of capital investment for poor microenterprises). Here many young people would like to be self-employed as transporters but cannot afford the upfront capital cost of the motorcycle, historically in the region of USD 1,000-1,500, which makes the cost well beyond the ability of the unemployed or underemployed individual to pay for.
The difference in the barrier to entry is not due to a change in transport demand but a change in the financing system, whereby specialized financiers and leasers for boda boda have come up, and through this system, one can get the motorbike through hire purchase and pay off the asset through daily earning from the fare and not through any form of collateral. The capital barrier thus changes to income linked payments and this is the exact financial mechanism that eases a liquidity constraint in choosing an occupation. It is therefore not the increase in transport demand but the increase in credit availability that will determine boda boda entry, a testable hypothesis against the data below.
Another useful concept to highlight is the regulatory margin. Traditionally, the requirements for being a boda boda driver have been very limited; it has not involved any educational requirement, nor any licensing except the simple driving one, and even the licensing (up until fairly recently) was not compulsory. This combination of zero entry requirements from a human capital point of view and financing from a capital point of view is why boda boda system has become so flexible: it is capable of absorbing large numbers of labor market entrants rapidly.
3. Evidence
It is large, young, and rapidly expanding. The workforce in boda bodas is estimated at one million riders, and 80 percent of them are below 35 years old, which matches Kenya’s youth unemployment issue precisely. There were about 1.4 million motorcycle registrations recorded in Kenya by NTSA up to 2018, but there is much debate about the percentage of motorcycles utilized for commercial purposes, although estimates indicate that nine out of ten motorcycles on the roads are used in commerce.
Growth is very sensitive to credit constraints, as expected, given the financing constraint mechanism. The motorcycle registrations in Kenya increased more than twice during the first eleven months of 2025 compared to the whole year 2024 (about 145,700 new registrations compared to 68,800 in 2024), mostly because of the easier access to financing. The increase is not associated with any increase in passenger demand; rather, it has occurred because of the rise in delivery and ride-hailing business. This is exactly what a financing constraint theory would predict: registrations react very sharply to financing constraint change.
Earnings are real but low, and the sector carries significant negative externalities. The average wage for drivers has been quoted at Ksh. 1,000 per day (about USD 7-8), which is substantial when viewed in relation to unemployment but still far lower than what a similarly skilled job in the formal sector would earn, and without any perks, security, or benefits whatsoever, while being highly risky physically, motorbike accidents are one of the common causes of traffic fatalities and injuries in Kenya and, according to public hospitals, many of their trauma cases have been caused by crashes. Economic rationale: high accident levels serve as an effectively uninsured tax on human capital.
The sector has begun a formalization push, but from a very low base. NTSA, since 2020, has made it mandatory for all riders to be registered, have a KRA PIN and be part of a registered sacco, a move that is meant to transform the wholly unregulated sector to a regulated and taxed one. The situation here parallels the regulation costs described in the mobile money formalization literature where financing of the sector has increased yet remains separate from formal registration and taxation.
The sector’s relationship to social stability is genuinely mixed, not simply positive. The political economy literature on youth unemployment in Kenya has shown that youth bulges coupled with informal and unstable work environments are associated with an increased likelihood of political violence and gang recruitment. It is important to point out that the National Cohesion and Integration Commission of Kenya has discovered that the vast majority of the gangs’ members, about 81%, according to estimates, are employed in the informal economy, among others, as boda boda drivers. This observation casts doubt on the assumption that informal employment somehow solves the problems associated with youth unemployment.
4. Argument
There is a clear case for a well-qualified version of the “buffer” theory. Boda boda occupation constitutes a quantitatively substantial buffer against unemployment; this activity provides work opportunities for about one million people mainly youth, requires no formal qualifications whatsoever, and most importantly, is extremely elastic to credit. This means that it can easily be expanded when there is labor market slackness and financing capacity (such as in the registration boom of 2025). In this limited and static sense, the boda boda activity fulfills the buffering role that is expected from the informal sector.
But the underlying mechanism, relaxation of capital constraints through asset finance rather than real productivity increases from expanded demand for transport, suggests limits to what this cushion may accomplish. As the increased entry is financed through innovation in asset finance and not increasing labor returns from transport services, transport services are vulnerable to traditional problems of overproduction: as more individuals finance their motorcycles, there will be downward pressure on returns per rider, and the debt component of hire purchase finance ensures that any individual who fails to repay the loan because of accidents, illnesses, or lower incomes due to overproduction loses the asset as well as the source of income; an issue not encountered in agriculture and wage labor. In this regard, boda boda labor appears to be more a debt-financed trap than a cushion leading to higher productivity activities.
5. Implications
- For policy: In case credit availability and not transport demand drives the growth of boda boda firms, then regulatory measures that try to regulate the sector through such policies as saccos and KRA PIN registration must be complemented with measures to manage credit-induced excess supply and indebtedness.
- For safety and welfare policy: Since the risk of accidents acts as a cost to the economy, which is unfairly paid for by passengers and their families, compulsory insurance and safety regulations have a welfare justification, irrespective of the transport policy aim, in themselves.
- For the “buffer vs. bridge” debate: Interventions which link the boda boda sector’s entrance into actual skills/asset-building processes (e.g., licensing as logistics/delivery fleet management, or sacco-based savings schemes which lead to building up assets other than just the motorcycle) would be the means of assessing whether or not the sector can be transformed from just being a buffer to being a stepping stone, something testable and fundable for student research.
6. Limitations
Data on boda boda numbers, daily incomes, and contribution to GDP per capita are exceptionally unreliable for the Kenyan informal sector: there are big discrepancies among different sources (NTSA, MAAK, Car & General, KNBS) of these estimates, and part of the reason why is that a significant portion of boda bodas remain unregistered despite the 2020 reform. The causal mechanism that finance availability rather than transport demand is the main force that drives new entry is backed by a clear correlation in the paper (the boom in registrations for 2024-2025 years and easier access to finance) but has not been tested with any identification approach; the identification could make use of geographic and/or temporal differences in the implementation of different financial products. In addition, the paper does not have the data on the income dynamics of individual boda boda riders over time, so the claim that boda boda activity is a form of “holding pattern” occupation and not a means of getting out of poverty through income increase is made based on aggregate and qualitative evidence, not based on direct measurement.
References (selected)
- Harris, J. R. & Todaro, M. P. (1970). Migration, unemployment and development: a two-sector analysis. American Economic Review, 60(1).
- Banerjee, A. & Duflo, E. (2007). The economic lives of the poor. Journal of Economic Perspectives, 21(1).
- de Mel, S., McKenzie, D., & Woodruff, C. (2008). Returns to capital in microenterprises: evidence from a field experiment. Quarterly Journal of Economics, 123(4).
- National Transport and Safety Authority (NTSA), Kenya, motorcycle registration statistics, various years.
- Kenya National Bureau of Statistics (KNBS). Economic Survey 2025.
- National Cohesion and Integration Commission (NCIC), Kenya, reporting on informal-sector employment among gang-affiliated youth.
- Motorcycle Assemblers Association of Kenya (MAAK), commercial motorcycle estimates.
- Journal of Research Innovation and Implications in Education (JRIIE, 2025). Boda Boda Economy, systematic review of socio-economic outcomes of commercial motorcycle transport for youth in Kenya and comparator countries.
- Business Daily Africa, Capital FM Kenya, The Conversation, Eastleigh Voice, reporting on boda boda sector economics, regulation, and 2025 registration data.
Prepared as part of the East Africa Microeconomics Research Series. This is a student working paper that synthesises existing research and published data rather than presenting original fieldwork; feedback and data corrections are welcome via the contact page.