You can find the requested data in the table below:
| Indicator | Source | 2022 | 2023 | 2024 | 2025 | 2026'F | 2027'F | 2028'F | 2029'F | 2030'F | 2031'F |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CPI growth, y-o-y % (period average) | IMF WEO (April 2026) | 20.2 | 12.9 | 6.50 | 12.7 | 6.07 | 7.66 | 5.70 | 5.18 | 5.0 | 5.00 |
| IMF (February 2026), downside | — | — | — | — | 7.10 | 9.80 | 8.50 | 7.50 | 5.90 | 5.0 | |
| EC (May 2026) | — | — | — | — | 9.30 | 9.0 | — | — | — | — | |
| NBU (April 2026) | — | — | — | — | 8.0 | 7.50 | 5.60 | — | — | — | |
| KSE (April 2026) | — | — | — | — | 9.40 | 7.60 | 8.60 | 7.10 | — | — | |
| CPI growth, y-o-y (end-of-period) | IMF WEO (April 2026) | 26.6 | 5.08 | 12.0 | 7.96 | 7.50 | 7.0 | 5.40 | 5.0 | 5.0 | 5.00 |
| IMF (February 2026), downside | — | — | — | — | 10.0 | 9.0 | 8.0 | 7.0 | 5.0 | 5.0 | |
| NBU (April 2026) | — | — | — | — | 9.40 | 6.50 | 5.0 | — | — | — | |
| Dragon Capital (March 2026), baseline | — | — | — | — | 7.10 | 5.20 | — | — | — | — | |
| NBU policy rate, % (period average) | NBU (April 2026) | 18.6 | 22.4 | 13.7 | 15.3 | 15.0 | 14.0 | 11.5 | — | — | — |
| KSE (April 2026) | — | — | — | — | 15.0 | 12.5 | 11.0 | 10.9 | — | — | |
| Nominal wages, y-o-y % (period average) | NBU (April 2026) | 6.0 | 17.4 | 23.2 | 20.8 | 20.6 | 15.1 | 11.7 | — | — | — |
| KSE (April 2026) | — | — | — | — | 14.9 | 14.4 | 18.4 | 16.0 | — | — | |
| IMF (February 2026), downside | — | — | — | — | 12.3 | 14.1 | 11.1 | 9.80 | 8.70 | 7.90 | |
| UAHUSD exchange rate (period average) | IMF WEO (April 2026) | 32.3 | 36.6 | 40.2 | 41.7 | 44.4 | 47.1 | 49.7 | 52.1 | 54.0 | 55.4 |
| KSE (April 2026) | — | — | — | — | 44.2 | 46.0 | 46.5 | 45.7 | — | — | |
| Dragon Capital (March 2026), baseline | — | — | — | — | 44.0 | 46.4 | — | — | — | — | |
The relative accuracy of each organization’s forecast was calculated as the difference between the mean absolute error (MAE) of that organization’s forecast and the mean absolute error of forecasts produced by all organizations. Negative values show below-average errors (the organizations are relatively more accurate); zero values in the figures indicate that the accuracy of a forecast corresponds to the average accuracy of all forecasts; positive values indicate above-average errors. Adjusted MAEs (errors adjusted for the duration of the forecasting period) are more representative, therefore the organisations are sorted according to the value of Adjusted MAEs. See more details in the notes to the chart.
Source: NBU Inflation report (April 2026)
Notes: As disclosed by the NBU, the names of the organisations, except the IMF, were obscured and replaced with codes O1–… (the Ministry of Economy of Ukraine, Sense Bank, ICU, Dragon Capital, Raiffeisen Bank Aval, J.P. Morgan, Goldman Sachs etc). The consensus forecasts [Focus Economics (FE), Consensus Economics (CE)] and the NBU's survey of financial analysts (Surv.) are also shown. This order does not correspond to the order in which the organisations appear in the figures. The adjusted mean absolute errors were calculated by multiplying these errors by specific weights that increase as the period of time between the making of a forecast and the release of the actual data decreases. Thus, the time factor was taken into account: the earlier a forecast was made, the greater its error could be. For more details about the calculation of this indicator, see the following articles by Michael K. Andersson, Ted Aranki, and André Reslow: “Adjusting for Information Content when Comparing Forecast Performance”, 2016; “Evaluation of the Riksbank's forecast”, 2018.
The relative accuracy of each organization’s forecast was calculated as the difference between the mean absolute error (MAE) of that organization’s forecast and the mean absolute error of forecasts produced by all organizations. Negative values show below-average errors (the organizations are relatively more accurate); zero values in the figures indicate that the accuracy of a forecast corresponds to the average accuracy of all forecasts; positive values indicate above-average errors. Adjusted MAEs (errors adjusted for the duration of the forecasting period) are more representative, therefore the organisations are sorted according to the value of Adjusted MAEs. See more details in the notes to the chart.
Source: NBU Inflation report (April 2026)
Notes: As disclosed by the NBU, the names of the organisations, except the IMF, were obscured and replaced with codes O1–… (the Ministry of Economy of Ukraine, Sense Bank, ICU, Dragon Capital, Raiffeisen Bank Aval, J.P. Morgan, Goldman Sachs etc). The consensus forecasts [Focus Economics (FE), Consensus Economics (CE)] and the NBU's survey of financial analysts (Surv.) are also shown. This order does not correspond to the order in which the organisations appear in the figures. The adjusted mean absolute errors were calculated by multiplying these errors by specific weights that increase as the period of time between the making of a forecast and the release of the actual data decreases. Thus, the time factor was taken into account: the earlier a forecast was made, the greater its error could be. For more details about the calculation of this indicator, see the following articles by Michael K. Andersson, Ted Aranki, and André Reslow: “Adjusting for Information Content when Comparing Forecast Performance”, 2016; “Evaluation of the Riksbank's forecast”, 2018.