The 2025 ranking: Moldova, the second most dependent economy in the group
In 2025, remittances received were equivalent to 9.41% of GDP in the Republic of Moldova, according to World Bank data. This is the second-highest figure in the group analysed, after Georgia (11.17%), and well above Romania (2.48%), Bulgaria (2.11%), Poland (0.91%) and the European Union average (0.86%).
The gap with the EU remains an order of magnitude wide: Moldova's share is roughly 10.9 times the European average and 10.3 times Poland's. Against Romania — the most relevant institutional and linguistic comparison — the ratio is 3.8 to 1.
No figure is available for Ukraine for 2025 in the World Bank series; the latest year available is 2024, at 6.29% of GDP, down from 10.36% in 2022, the first year of the full-scale invasion. The comparison with Ukraine must therefore be read across different years.
Remittances received, share of GDP — regional ranking
View data table
| Remittances (% of GDP) | |
|---|---|
| Georgia (2025) | 11.2 |
| Moldova (2025) | 9.4 |
| Ukraine (2024) | 6.3 |
| Romania (2025) | 2.5 |
| Bulgaria (2025) | 2.1 |
| Poland (2025) | 0.9 |
| European Union (2025) | 0.9 |
The 2014–2025 trajectory: a 57% decline in Moldova, stagnation in Georgia
The twelve-year series shows Moldova slowly converging towards regional patterns. In 2014, remittances represented 22.08% of GDP — twice the level recorded in Georgia (11.06%) that same year. By 2025 the share had fallen to 9.41%, a reduction of 12.67 percentage points, or 57.4% in relative terms.
Georgia followed the opposite path: from 9.58% in 2015 it rose to a peak of 15.42% in 2022, then eased to 11.17% in 2025, still slightly above its 2014 level. Georgia overtook Moldova for the first time in 2022 (15.42% against 14.03%), and in 2025 the difference is 1.76 pp in Georgia's favour.
Romania and Bulgaria fluctuated within a narrow band throughout the period: Romania between 2.48% (2025) and 3.26% (2019), Bulgaria between 2.11% (2025) and 3.52% (2017). Poland declined almost continuously after 2016, from 1.43% to 0.91% in 2025 — close to the EU average (0.86%).
Remittances received as a share of GDP, 2014–2025
View data table
| Moldova | Georgia | Ukraine | Romania | |
|---|---|---|---|---|
| 2014 | 22.1 | 11.1 | – | 2.5 |
| 2015 | 19.8 | 9.6 | – | 3.0 |
| 2016 | 18.4 | 9.8 | – | 3.2 |
| 2017 | 17.2 | 10.9 | – | 3.1 |
| 2018 | 16.3 | 11.4 | – | 2.9 |
| 2019 | 16.3 | 12.8 | 10.3 | 3.3 |
| 2020 | 16.3 | 13.2 | 9.7 | 3.0 |
| 2021 | 15.5 | 14.0 | 9.0 | 3.2 |
| 2022 | 14.0 | 15.4 | 10.4 | 3.0 |
| 2023 | 12.0 | 13.7 | 8.3 | 2.9 |
| 2024 | 10.5 | 11.9 | 6.3 | 2.5 |
| 2025 | 9.4 | 11.2 | – | 2.5 |
Need an analysis on this topic tailored to your programme or organisation?
Request a proposalWhy the share is falling: the denominator is growing faster
The indicator is a ratio, and its decline does not automatically mean that diaspora flows have shrunk in absolute terms — the series used do not contain dollar amounts, only shares of GDP. Arithmetically, a falling share may reflect either smaller flows or GDP growing faster.
The second mechanism is documented by the data: Moldova's GDP per capita at purchasing power parity rose from 8,643 international dollars in 2014 to 19,996 in 2025 (+131.3%), according to the World Bank. Over the same period, Romania's GDP per capita climbed from 20,633 to 50,895 international dollars (+146.7%), and Georgia's from 11,771 to 29,414 (+149.9%).
In parallel, average gross monthly earnings in Moldova rose from €219.5 in 2014 to €796.0 in 2025, according to the NBS — an increase of 262.6%. The relationship between domestic wages and external flows nonetheless remains a matter of macroeconomic context rather than a causal link demonstrable with the present data: we have no series on the number of migrants, destinations or informal transfer channels.
Moldova: GDP per capita at PPP and average gross wage (indices, 2014 = 100)
View data table
| Index relative to 2014 | |
|---|---|
| GDP per capita at PPP, 2025 | 231.3 |
| Average gross wage, euro, 2025 | 362.6 |
Low inequality, low incomes: the Moldovan paradox
On income distribution, Moldova leads the regional ranking in the positive sense: the Gini index stood at 26.8 in 2023, the lowest among the countries compared with data for that year — below Poland (28.5), Romania (29.8) and 12.7 points below Bulgaria (39.5). Georgia recorded 33.9 in 2024, and Ukraine 25.6 in its latest available year, 2020 — a lower value, but from an earlier year and therefore not directly comparable.
Relative equality does not, however, mean prosperity. In 2025, the absolute poverty rate in Moldova was 31.1% nationally and 40.0% in rural areas (21.1% in urban areas), according to the NBS. No direct comparison with the EU is possible: the European AROPE indicator (at risk of poverty or social exclusion), for which the EU-27 recorded 20.9% in 2025 and Romania 27.4%, does not cover the Republic of Moldova in the Eurostat database.
A second structural gap concerns the labour market. The ILO-estimated unemployment rate for Moldova was 1.51% in 2025, against 5.93% in the EU and 12.10% in Georgia. The figure should be read with caution: for the same year the NBS reports an ILO-definition unemployment rate of 3.9% for the 15–64 age group, an employment rate of 50.3% and an inactivity rate of 47.7%. Low unemployment largely reflects a numerically small labour force rather than a saturated labour market.
Gini index of income inequality, latest available year
View data table
| Gini index | |
|---|---|
| Bulgaria (2023) | 39.5 |
| Georgia (2024) | 33.9 |
| Romania (2023) | 29.8 |
| Poland (2023) | 28.5 |
| Moldova (2023) | 26.8 |
| Ukraine (2020) | 25.6 |
Implications for Moldova
A smaller share of remittances in GDP mechanically reduces the exposure of domestic consumption and budget revenues to external shocks — recessions in host countries, currency depreciations or mobility restrictions. Monitoring should nonetheless track absolute values and transfer channels, not only shares, in order to distinguish between a "larger economy" and "smaller flows".
The comparison with Georgia shows that the level of dependence does not converge automatically towards the European average: over the same period in which Moldova's share fell by 57%, Georgia's remained above 11% of GDP. The relevant policy scenario is therefore one of managed transition, not inevitable evolution.
The combination of low inequality (Gini of 26.8 in 2023) and high absolute poverty (31.1% in 2025) points to an income profile compressed at a low level. In such a distribution, classic redistributive instruments have limited effect; raising labour incomes and the employment rate — 50.3% for the 15–64 age group in 2025 — carries greater explanatory weight.
For international comparability on poverty and social exclusion, Moldova's absence from the Eurostat AROPE series remains a limitation: without this indicator, the gap with Romania (27.4% in 2025) or with the EU-27 (20.9%) cannot be quantified directly.
Methodology
Data on remittances received (% of GDP), GDP per capita at purchasing power parity (current international dollars), the Gini index and the ILO-estimated unemployment rate come from the World Bank database (World Development Indicators). The "European Union" aggregate is the one published by the World Bank. Data on the risk of poverty or social exclusion (AROPE) come from Eurostat; the Republic of Moldova does not appear in this series. Data on average gross monthly earnings, the employment rate, the inactivity rate, the ILO-definition unemployment rate and absolute poverty come from the database of the National Bureau of Statistics of Moldova. The latest available year differs across indicators and countries: for remittances, Ukraine has data up to 2024; for the Gini index, Ukraine up to 2020, Georgia up to 2024 and the other countries up to 2023. The indices in the 2014 = 100 chart were calculated by the editorial team on the basis of published values. The share of remittances in GDP is a ratio: its variation reflects both the evolution of flows and that of GDP; the series used do not contain absolute transfer values. ILO unemployment estimates are not directly comparable with the ILO-definition unemployment rate published by the NBS. The correlations described do not constitute evidence of causality.