Timor-Leste Transport Air Pollution Profile 2026

Outline

TIMOR-LESTE

TRANSPORT AIR POLLUTION PROFILE


Supported by:


Background

Timor-Leste, a lower-middle-income economy in Southeast Asia with a population of 1.4 million and a GDP per capita of $4,758 (2024), faces a growing challenge from transport-related air pollution despite relatively low ambient pollution levels compared to regional averages. The country's annual population-weighted PM 2.5 concentration decreased from 15.4 micrograms per cubic meter in 2000 to 12.0 in 2023, remaining below the WHO interim target of 25 micrograms per cubic meter but still exceeding the guideline of 5 micrograms per cubic meter. While this level sits considerably below Southeast Asia's 2022 average of 20.2 micrograms per cubic meter, the health and economic consequences remain substantial.

The health burden of air pollution in Timor-Leste, though modest in absolute numbers, represents a significant public health concern relative to the country's small population. The World Bank estimates that 210 people died prematurely in 2019 due to ambient PM 2.5 exposure. According to McDuffie et al. (2021), approximately 21 of these deaths could be directly attributed to transport tailpipe emissions, with the State of Global Air estimating that transport and international shipping contribute 9.4% and 1.4% to ambient PM 2.5 concentrations, respectively. Occupational exposure to diesel engine exhausts claimed at least two lives in 2023, equivalent to one death per million population. The economic toll is equally striking: the World Bank calculated that health damages from ambient and household PM 2.5 exposure cost Timor-Leste approximately $308 million in 2019, representing 7% of GDP. This figure, while lower than the Asia-Pacific average of 10.6% of GDP, nonetheless represents a substantial drain on an economy that allocated 14.3% of GDP to healthcare in 2022.

The transport sector has emerged as the dominant contributor to PM 2.5 emissions in Timor-Leste, accounting for 53% of total national emissions by 2022. This share reflects the sector's outsized impact compared to other emission sources, which have been growing at 2.5% annually since 2010. The modal distribution of transport PM 2.5 emissions reveals an unusual pattern: domestic navigation dominates at 68%, followed by road transport at 31%, domestic aviation at 1%, and rail at 0%. This contrasts sharply with the situation in 2010, when road transport held a 45% share and domestic navigation accounted for 53%. The dramatic shift toward maritime emissions reflects both the country's island geography and the expansion of coastal shipping activities. Notably, non-exhaust emissions from resuspended dust, brake wear, and tire wear now constitute 31% of road sector emissions, up from 18% in 2010, highlighting the growing importance of addressing not just tailpipe pollutants but also mechanical sources of particulate matter.

Beyond particulate matter, the transport sector contributes significantly to other pollutants, though with varying intensities. For nitrogen oxides (NOx), transport accounts for 36% of total national emissions, with road transport responsible for 68% of this share, domestic navigation 28%, and domestic aviation 3%. The road sector's share decreased from 72% in 2010 to 68% by 2022, while domestic navigation increased from 20% to 28% over the same period. Other sectors have seen NOx emissions grow at 5.6% annually since 2010. The transport sector's contribution to sulfur oxides (SOx) stands at just 9% of total national emissions, with domestic navigation overwhelmingly dominant at 98% of transport sector emissions, followed by domestic aviation at 2% and road transport at effectively 0%. This distribution, which has shifted from 93% navigation and 1% road in 2010, reflects the continued use of high-sulfur fuels in maritime operations even as road vehicles have transitioned to cleaner alternatives. Non-transport sectors have experienced SOx emissions growth of 6.9% annually since 2010.

The transport sector also generates substantial emissions of other pollutants with direct and indirect health and environmental impacts. Methane (CH4) emissions from transport grew by 8.2% between 2000 and 2010, then by 8.0% between 2010 and 2022, with the road sector accounting for 96% of transport CH4 emissions by 2022. For non-methane volatile organic compounds (NMVOC), road transport represents 76% of transport sector emissions. Black carbon (BC), a particularly harmful component of PM 2.5 with both health and climate implications, shows a modal distribution similar to overall PM 2.5: domestic navigation contributes 54%, road transport 46%, and domestic aviation 1%, reflecting a shift from 64% road and 34% navigation in 2010. These trends underscore the multifaceted nature of transport pollution and the need for comprehensive strategies addressing both road and maritime sources.

The transport sector's energy consumption profile reveals an almost total dependence on petroleum products and limited diversification. In 2023, the road sector consumed virtually all transport energy (100%), with rail, domestic navigation, and domestic aviation each contributing approximately 0%. Oil products accounted for 100% of transport energy consumption, unchanged from 2010 and 2015, while biofuels and electricity each represented 0% of consumption. Electric vehicle (EV) adoption remains in its infancy: between 2017 and 2024, EV imports reached just $2 million, representing less than 1% of total road vehicle imports. The composition of these imports shows 58% goods vehicles and buses, 39% two-wheelers, and only 3% light-duty vehicles, suggesting early adoption focused on commercial applications rather than private passenger transport.

Timor-Leste's readiness for electric mobility transition faces substantial barriers, as reflected in UNEP's E-mobility Readiness Index score of 40 out of 100. The breakdown reveals particular weaknesses: technology and market scored 9, policy 0, energy 20, and financial instruments 11. The zero score in policy indicates an absence of regulatory frameworks, incentives, or mandates to encourage EV adoption, while low scores in financial instruments suggest limited access to affordable financing mechanisms. The country's motorization rate stood at 300 vehicles per thousand population in 2024, up from 285 in 2000 and slightly below the Asia-Pacific average of 317, indicating steady growth in vehicle ownership that will likely continue as incomes rise. Public transport infrastructure remains severely underdeveloped: across Timor-Leste's single urban agglomeration, eight out of ten residents lack convenient access to public transport, forcing reliance on private vehicles and contributing to both congestion and emissions.

Air Quality

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

Air Pollution from Transport

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

Health Burden

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

Resuspended Dust, Brake, and Tyre-wear

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

Vehicle Fuel Mix

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

Vehicle Fleet

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

Policy Landscape

iframe { height: 100% !important; width: 100% !important; }
Export PDF
Export Image

References

CIESIN. (2023). SDG Indicator 11.2.1: Urban Access to Public Transport, 2023 Release: Sustainable Development Goal Indicators (SDGI). https://sedac.ciesin.columbia.edu/data/set/sdgi-11-2-1-urban-access-public-transport-2023

EDGAR. (2025). GHG emissions of all world countries: 2025. Publications Office. https://data.europa.eu/doi/10.2760/9816914

Ember. (2024). Electricity Data Explorer [Dataset]. https://ember-energy.org/data/electricity-data-explorer

European Commission. (2024). Global Air Pollutant Emissions EDGAR v8.1 [Dataset]. https://edgar.jrc.ec.europa.eu/dataset_ap61#sources

IEA. (n.d.). Fossil Fuel Subsidies – Topics. IEA. Retrieved October 31, 2024 https://www.iea.org/topics/fossil-fuel-subsidies

IHME. (2026). GBD Compare. https://vizhub.healthdata.org/gbd-compare/

IIASA. (2025). GAINS Model Online—Greenhouse Gas—Air Pollution Interactions and Synergies. https://gains.iiasa.ac.at/models/

IRJ. (2024). IRJPro [Dataset].

ITDP. (2024). The Atlas of Sustainable City Transport. https://atlas.itdp.org/

Noll, B., Schmidt, T. S., & Egli, F. (2026). The electric vehicle transition and vanishing fuel tax revenues. Nature Sustainability, 1–5. https://doi.org/10.1038/s41893-025-01721-7

State of Global Air. (2025). Air Quality: Population Weighted Concentration [Dataset]. https://www.stateofglobalair.org/data/#/air/table

Trademap. (2025). Trade Map. Trade Map. https://www.trademap.org/Index.aspx

UN DESA. (2025). 2024 Revision of World Population Prospects. https://population.un.org/wpp/

UN Energy Statistics. (2025). Energy Balance Visualization [Dataset]. https://unstats.un.org/unsd/energystats/dataPortal/

UNEP. (2024). E-Mobility Readiness Index. https://ndcpartnership.org/knowledge-portal/climate-toolbox/e-mobility-readiness-index

World Bank. (2022). The Global Health Cost of PM2.5 Air Pollution: A Case for Action Beyond 2021. The World Bank. https://doi.org/10.1596/978-1-4648-1816-5

World Bank. (2024). Current health expenditure (% of GDP). https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS

World Bank. (2025). GDP per capita, PPP (current international $) [Dataset]. https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD