Interpreting The World Bank’s 2026 Poverty Estimates for Timor-Leste: Methodology, Meaning, and Communication

By: Maria Filomeno da Costa Pinheiro

It has been some time since the World Bank’s poverty estimates for Timor-Leste stirred considerable consternation, with many questioning the numbers and what they appeared to say about the country’s economic and social progress. Much of the reaction centred on the Bank’s Macro Poverty Outlook estimates that Timor-Leste’s poverty rate in 2026 is 71.7% using the $4.20-per-person-per-day poverty line and 44.3% using the $3.00 line. For many readers, these figures appeared difficult to reconcile with the country’s more familiar national poverty estimates and with the perception that Timor-Leste had made some progress in reducing poverty over the years.

The debate, however, has not entirely dissipated since it made headlines. Beyond the political and public reactions to the figures, there remains a more fundamental question: what exactly do these estimates measure, how are they produced, and how should they be interpreted in the context of Timor-Leste? These questions matter because poverty statistics are not simply numbers on a page. The choice of poverty line, the underlying household data, the assumptions used to project future poverty, and the way the results are communicated can all shape how a country’s economic and social conditions are understood.

What exactly is being estimated?

The World Bank’s $3.00 poverty line is an international benchmark for low-income countries, while the $4.20 line applies to lower-middle-income countries, the category in which Timor-Leste is currently classified. By contrast, Timor-Leste’s national poverty line in 2014 was $1.52 per person per day.

This difference matters. A $4.20 threshold naturally captures more people than a $1.52 threshold; the two figures are not measuring the same thing.

More importantly, the World Bank’s 2026 figures are modelled estimates, not the results of a new household survey. The baseline household data are now more than a decade old. The World Bank therefore extrapolates poverty rates using economic indicators such as real GDP per capita and the historical relationship between growth and poverty, namely, the poverty-to-growth elasticity.

This is a reasonable approach when current household data are unavailable, but extrapolation carries an important limitation: it assumes that relationships observed in the past remain relevant today.

That assumption deserves scrutiny

Economic structures do not remain static. Income distribution, employment, prices, consumption patterns, public investment, private-sector activity, social protection and access to public services can all change over a decade, even when GDP per capita follows its projected trajectory. If these factors shift significantly, the way growth translates into household welfare may also shift.

GDP growth does not automatically tell us how individual households are doing. A household with savings may withstand a contraction without falling into poverty, while one with little financial security may be pushed into poverty by a small loss of income. Likewise, growth concentrated in urban construction or government projects may generate considerable GDP without equivalent gains for rural households. The familiar idea that “a rising tide lifts all boats” does not necessarily describe how growth is distributed in practice.

The issue is not that the World Bank’s methodology is necessarily wrong. It is whether a relationship estimated in one economic period remains sufficiently representative of another.

The importance of the poverty line

The difference between international and national poverty lines is perhaps the most important point in interpreting the World Bank’s figures.

Timor-Leste’s national poverty line was $1.52 per person per day in 2014. The World Bank’s $3.00 threshold is almost twice as high. This does not make the $3.00 benchmark wrong: international poverty lines allow countries to be compared using a common methodology. But they should not be confused with a country’s own definition of poverty. A person just above the national poverty line in 2014 could still be considered poor under the $3.00 international threshold today if their income had not kept pace with inflation and the cost of living.

This is one reason the World Bank’s estimate of 44.3% should neither be dismissed nor read as a direct measurement of what households currently experience. It is an estimate based on an international benchmark and a modelled growth–poverty relationship.

There is also a technical limitation to international comparisons. Purchasing Power Parity (PPP) adjustments improve comparability between countries, but they cannot capture every difference in local prices, consumption patterns and the composition of basic needs. Three dollars may therefore have different purchasing power in Timor-Leste, Cambodia or Laos, even under the same international poverty line.

For domestic policymaking, the national poverty line is consequently more relevant, because it can account for local prices, consumption patterns, basic needs and social norms.

Has economic growth really had no effect on poverty?

The World Bank’s model places considerable weight on the relationship between economic growth and poverty. Timor-Leste’s own experience suggests that the relationship exists, even if it is relatively weak.

In 2007, the national poverty rate was estimated at 50.4%, based on a poverty line of $0.83 per person per day. By 2014, it had fallen to 41.8%, while the poverty line had increased to $1.52. This period coincided with relatively strong economic growth. Historical evidence suggests that economic growth has contributed to poverty reduction in Timor-Leste, but the relationship is not one-for-one, averaging well below 1% for every 1% increase in real GDP per capita.

The relationship weakened considerably after 2016. Political instability contributed to economic contractions in 2017 and 2018, while COVID-19 caused another major shock from 2020 onwards. It would therefore be reasonable to expect these disruptions to have slowed poverty reduction. But it may be too strong to conclude that the past decade produced no meaningful poverty-reducing effect simply because growth was weaker than during 2007–2014.

Timor-Leste still recorded periods of positive real GDP per capita growth after 2018, including approximately 1.1% in 2021, 2.5% in 2022, 1.2% in 2023, 3.1% in 2024 and 3.2% in 2025.

These are modest rates, but they represent a degree of economic recovery following several years of contraction.

If the historical poverty-to-growth relationship remains applicable, even modest growth should theoretically have some poverty-reducing effect. The magnitude may be limited, but it should not automatically be assumed to be zero.

Why might this be so?

This is because, if the composition of economic growth has changed since 2014, then it is possible that the relationship between GDP growth and poverty reduction has changed as well. For example, changes in the scale and composition of infrastructure investment, changes in import dependence, developments in tourism and services, changes in private-sector activity, and the expansion of social protection may all influence how strongly economic growth affects household welfare.

This does not mean that increase in infrastructures spending automatically reduces poverty. Nor does a decline in the import share of GDP automatically mean that economic growth has become more beneficial to poorer households. Those relationships would need to be demonstrated through empirical analysis.

The point is narrower but important: if the composition of growth is relevant to understanding why economic growth has historically translated into poverty reduction only to a limited extent, then changes in that composition should also be considered when deciding whether the historical relationship remains appropriate for projecting poverty today.

The missing role of social protection

Another factor that deserves greater attention is social protection

The 2021 INETL-UNDP assessment provides some indication of the scale of the COVID-19 shock. It found that 81% of micro, small and medium enterprises experienced income losses, while 43.3% of people aged 25–39 lost employment during the pandemic. The survey covered approximately 4,200 households and 1,100 businesses. While it cannot substitute for a new national living-standards survey, it provides valuable evidence of the severe economic disruption experienced by households during the period.

During the COVID-19 crisis, the government introduced several measures to protect household incomes and prevent economic hardship from becoming permanent poverty. These included cash transfers, subsidies, electricity discounts, temporary relief from tax and loan payments, basic-needs assistance and support through the formal social security system.

These measures were not merely economic stimulus measures. They also served as a buffer against poverty.

A household that loses employment or income during an economic shock may fall into poverty if it has no savings or social protection. A household receiving temporary government assistance may instead remain above the poverty threshold.

Timor-Leste’s broader social protection system also provides regular transfers to groups such as veterans, older people, people with disabilities and children from low-income households. While the World Bank’s estimates might have captured social transfers through yearly national consumption figures, they would still require validation against household-level data and Timor-Leste national poverty line to determine how social transfers helped keep vulnerable households remains solvent or afloat during times of economic hardship.

What should we make of the 2026 estimate?

The World Bank’s estimate should therefore be read as an important statistical signal, not as a definitive measurement of current household poverty.

The 71.7% figure under the $4.20 threshold is particularly sensitive to the choice of poverty line. The 44.3% estimate under the $3.00 threshold may provide a more useful international benchmark, but it still requires validation against current household-level evidence and Timor-Leste’s national poverty definition.

The central issue is not whether the World Bank’s estimate is simply “right” or “wrong”. It is what the estimate is actually telling us.

It tells us what poverty could look like under particular international thresholds and a model based on available economic data and historical relationships. It does not provide the same information as a new household survey asking what people currently earn, consume, own and spend.

That distinction matters

Timor-Leste’s latest national poverty data were collected in 2023, only around a year after the most severe period of the COVID-19 crisis. A new household living-standards survey would therefore be particularly valuable for determining how households have fared during the subsequent recovery.

It could also help answer questions that GDP-based models cannot: Who has benefited from economic growth? Which households remain vulnerable? How much have incomes actually increased? How important are social transfers? And how have rural and urban households experienced the recovery differently?

The Ethics of Communicating International Poverty Measures

There is, however, another question that deserves consideration beyond the technical methodology: how should international institutions communicate poverty statistics when the way a number is presented can have significant public and political consequences?

The issue is not whether the World Bank should publish international poverty estimates. International comparisons have an important role in development analysis. The question is whether such estimates should be accompanied, from the outset, by a sufficiently prominent explanation of what they measure, how they are derived and, equally importantly, what they do not measure.

A figure such as 71.7%, when presented simply as Timor-Leste’s “poverty rate”, can easily create an impression that nearly three-quarters of the country’s population are currently living in poverty according to the country’s own poverty definition. That is not what the estimate establishes.

It is a modelled projection using a substantially higher international poverty threshold than Timor-Leste’s national poverty line. The distinction may be obvious to poverty economists, but it is far less obvious to the general public, journalists or political audiences encountering the headline figures without the accompanying methodology.

This matters because poverty statistics are not politically neutral in their public consequences. A statistic suggesting that 72% of the population is poor can naturally be interpreted as evidence of severe economic failure, including failure of government policy. Such an interpretation can emerge even when the statistic itself was never designed to make that assessment.

An international institution with the authority and visibility of the World Bank should therefore be especially careful to distinguish between an internationally comparable statistical indicator and a direct assessment of national poverty.

The timing of the subsequent clarification also deserves attention

The World Bank has since explained that the April estimates attracted public interest and provided a technical note clarifying the international poverty measures and their relationship with Timor-Leste’s national poverty statistics. The clarification is useful and important. But it also raises a reasonable question: why was this level of contextualisation not given prominence when the headline estimates were first presented?

This question should not be confused with an allegation that the World Bank deliberately intended to mislead the public or advance a political agenda. The publication sequence alone cannot establish such an intention. Nevertheless, institutions can produce politically consequential effects without necessarily having a political motive.

A statistic can be technically defensible while its presentation nevertheless encourages an interpretation that goes beyond what the underlying methodology supports. This is precisely why communication matters.

The ethical responsibility is therefore broader than simply getting the calculation right. When an institution publishes a statistic with potentially major implications for how a country and its government are perceived, it has a responsibility to ensure that the limitations and appropriate interpretations are not buried beneath the headline. A number can be technically correct and still be misunderstood. Responsible communication therefore matters.

Conclusion

The World Bank’s 2026 poverty estimates for Timor-Leste are useful as an international benchmark and as a warning that economic vulnerability remains significant. But they should be interpreted with caution.

The estimates rely on household data that are now more than a decade old, assumptions about GDP per capita growth and a historical poverty-to-growth relationship derived largely from the 2007–2014 period. The economic and social circumstances of Timorese households have changed considerably since then.

The international poverty lines of $4.20 and $3.00 are also not substitutes for Timor-Leste’s national poverty line. They provide valuable international benchmarks, but national policy should ultimately be guided by measures that reflect local prices, consumption patterns, social protection and the realities of households themselves. The forthcoming national poverty data and a new household living-standards survey will therefore be more informative than any modelled projection alone.

There is also an ethical and communicative dimension. Because poverty statistics can shape public perceptions and public debate, international institutions have a responsibility to present such estimates with clear, prominent explanations of what they do and do not measure. A technically defensible figures can still mislead if ita limitations are not communicated responsibly.

Ultimately, the important question is not simply whether Timor-Leste’s poverty rate is 44%, 72% or another number. The more useful question is why households remain vulnerable, how the benefits of economic growth are distributed, and what policies can turn economic growth into sustained improvements in people’s living standards.

That is the evidence Timor-Leste needs to design more effective and inclusive poverty-reduction policies.