Special analysis · IMF World Economic Outlook

Economic Outlook

Reference-year window: 2026–2031. Values in percent change; the stored numeric scale is preserved.

Release vintage and actual/estimate/projection status are unavailable. These are stored IMF readings, not independent SOTW forecasts.

Outlook trajectories

Real GDP Growth (%)

Two countries, one IMF subject, original units. Missing target years remain gaps.

Canadapercent change

Swipe the plot horizontally to keep every year and axis label legible.

Real GDP Growth (%) — stored annual outlook valuesYear positions are equally spaced. Lines stop at missing years; points preserve the native values. Zero is a reference line for percentage subjects, not an imputed value.-0.220.340.91.462.02202620272028202920302031Canada · 2026: 1.1 percent changeCanada · 2027: 1.7 percent changeCanada · 2028: 1.7 percent changeCanada · 2029: 1.7 percent changeCanada · 2030: 1.7 percent changeCanada · 2031: 1.8 percent change

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Country-year data table

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190 of 190 countries or areas
Real GDP Growth (%); values in percent change, sorted by 2026
Country or area
Guyana22.316.89.24.32.41.5
South Sudan10.53.93.53.33.62.9
Ethiopia9.27.88.28.287.7
Kyrgyz Republic977.56.55.55.3
Viet Nam8.47.55.95.95.75.7
Uzbekistan7.86.565.85.75.7
Rwanda7.47.27777.1
Tajikistan7.36.86.265.55.5
Georgia7.25.75555
Guinea7.27.810.110.29.88.9
Benin76.86.86.76.76.7
Bhutan76.96.17.26.55.5
India776.96.96.86.8
Niger76.56666
Sudan71510888
Mongolia6.25.95.65.155
Uganda6.29.97.16.365.7
Cote d'Ivoire66.16.676.86.5
Tanzania65.9665.96
Ghana5.75.25555
Djibouti5.655.25.45.55.5
Zambia5.64.955.35.35.3
Armenia5.55.55.3555
Liberia5.55.15.35.45.65.4
Mali5.55.75.55.35.35.2
Congo, Dem. Rep.5.25.75.55.55.55.5
Malaysia5.24.64.34.34.34.3
Egypt, Arab Rep.5.14.755.54.84.8
Gambia, The5.15.15.1555
Indonesia5.15.15.25.25.25.2
Cabo Verde555.15.15.15.1
Panama54.24.64.84.64.5
Singapore532.52.52.52.5
Togo55.35.55.55.55.5
Venezuela, RB57————
Zimbabwe53.554.24.24.2
Guinea-Bissau4.74.94.54.54.24.2
Dominican Republic4.64.44.64.74.85
China4.5443.73.33.3
Israel4.54.43.63.63.63.5
Kenya4.54.74.9555
Lao PDR4.54.543.533
Morocco4.54.24.44.44.14
Paraguay4.543.83.83.83.8
El Salvador4.543.33.33.33.3
Chad4.55.44.65.15.45.3
Angola4.43.33.23.23.33.3
Burkina Faso4.44.84.84.84.84.9
Botswana4.42.233.93.94
Kazakhstan4.44.93.53.83.73.6
Mauritania4.44.45.84.93.13
Palau4.32.72.42.22.12.1
Malta4.244444
Nigeria4.24.34.14.24.24.2
Oman4.12.22.52.932.6
Guatemala43.83.93.93.93.9
Sri Lanka43.73.53.53.53.5
Sierra Leone44.44.64.64.64.6
Suriname44.128.2433.23
Timor-Leste43.73.73.43.33.2
Grenada3.932.92.72.72.7
Algeria3.83.23.13.133
Hong Kong SAR, China3.82.81.81.92.22.2
Madagascar3.84.54.64.74.84.8
Nicaragua3.83.83.53.53.53.5
Aruba3.72.721.41.21.2
Denmark3.721.81.61.51.5
Eswatini3.73.43.43.33.33.3
Burundi3.64.73.94.644.5
Bangladesh3.63.22.22.82.93
Nepal3.63.75.75.155
Pakistan3.63.54.34.54.54.5
Albania3.53.23.23.23.23.2
Congo, Rep.3.53.63.73.944
North Macedonia3.53.23333
Vanuatu3.53.22.82.52.52.5
Philippines3.45.15.55.85.85.8
Poland3.42.52.52.52.52.5
Tuvalu3.42.82.321.81.6
Costa Rica3.33.53.53.53.53.5
Honduras3.33.44.13.83.83.8
Korea, Rep.3.32.82.32.11.91.9
Libya3.32.92.72.52.32.1
Macao SAR, China3.33.13.1333
Serbia3.343.53.53.53.5
Cameroon3.23.64.14.24.34.4
Slovenia3.22.22.12.12.12.1
Dominica3.12.82.72.42.12
Papua New Guinea3.143.43.13.13.1
Gabon32.92.82.92.92.9
Cambodia344.75.15.35.5
Kiribati32.52.22.22.12.1
Marshall Islands32.21.91.81.71.6
Montenegro32.83333
Peru32.93.2333
Comoros2.93.13.83.63.63.6
Cyprus2.93.23.1333
Central African Republic2.73.33.53.53.53.5
Ecuador2.72.52.72.833
Jordan2.73.13333
Lithuania2.72.12.62.52.42.4
Mauritius2.73.23.33.33.33.3
Solomon Islands2.72.82.92.933
Turkiye2.73.64444
Bulgaria2.62.72.62.52.52.4
Malawi2.62.32.52.733
Bahamas, The2.51.91.81.51.51.5
Spain2.51.81.81.71.71.7
Sweden2.52.22.11.91.81.8
Antigua and Barbuda2.42.52.52.52.52.5
Turkmenistan2.42.52.52.62.62.6
Tunisia2.421.51.51.51.5
Bosnia and Herzegovina2.32.63333
Latvia2.31.82.1222
Somalia, Fed. Rep.2.32.73.23.63.84
United States2.32.32.11.91.81.8
St. Vincent and the Grenadines2.32.42.72.72.72.7
Brazil2.21.92.42.52.52.5
Colombia2.22.32.42.62.82.9
Croatia2.22.32.42.42.42.4
Senegal2.22.332.94.34.6
Argentina2.13.54.23.83.33
Estonia2.12.21.91.71.71.7
Naoero2.122222
Portugal2.11.91.81.71.61.6
Thailand2.12.12.32.52.52.5
Myanmar221.61.20.90.9
Namibia22.733.133
New Zealand22.62.72.52.42.4
Andorra1.91.71.71.61.51.5
Australia1.91.61.822.12.2
Belarus1.91.21.10.90.80.8
Belize1.922222
Brunei Darussalam1.91.32.72.26.64.1
Switzerland1.91.21.91.21.81.2
Fiji1.92.32.83.13.23.4
Hungary1.92.12.32.52.52.5
Barbados1.82.22.1222
Czechia1.81.92.221.91.8
Greece1.81.81.71.61.61.6
St. Kitts and Nevis1.82.32.42.62.52.5
Tonga1.81.91.71.61.51.5
Azerbaijan1.72.32.52.52.52.5
Finland1.71.41.21.21.21.2
Moldova1.52.33.23.53.53.4
Mexico1.51.82.22.12.12.1
Netherlands1.51.31.41.31.21.2
Norway1.51.31.11.11.11.1
Micronesia, Fed. Sts.1.41.71.810.90.7
Iceland1.41.82.12.42.42.4
Germany1.31.11.10.90.70.6
United Kingdom1.31.21.61.51.41.4
San Marino1.311.21.31.31.3
Uruguay1.32.42.22.22.22.2
St. Lucia1.21.81.61.61.51.5
Canada1.11.71.71.71.71.8
Lesotho1.10.81.41.51.51.5
Luxembourg1.11.62.12.122
Liechtenstein111.21.51.51.5
Maldives13.83.9444
Mozambique122.63.19.813.1
Seychelles143.13.13.23.2
Ukraine13.54.23.93.73.6
South Africa11.31.51.71.81.8
Russian Federation0.90.91111
Italy0.80.60.70.60.60.6
Slovak Republic0.81.62.62.52.21.8
Belgium0.71.11.21.31.31.3
Japan0.70.70.60.60.60.6
Austria0.60.91.210.80.8
Chile0.62.62.42.32.32.3
France0.40.71.21.11.11.1
Sao Tome and Principe0.41.92.62.82.82.8
Samoa0.41.72.22.52.52.5
Trinidad and Tobago0.22.23.12.821.9
Jamaica02.41.81.61.61.6
Puerto Rico (US)-0.110.60.80.80.8
Romania-0.52.22.52.82.93
Ireland-13.72.92.42.32.3
Yemen, Rep.-1.5011.522.5
Equatorial Guinea-1.7-11.62.22.52.3
Haiti-1.7-0.50.70.91.21.5
Bolivia-3-1.50.52.52.92.7
Saudi Arabia-3.37.94.83.43.53.6
United Arab Emirates-3.97.775.93.73.5
Iran, Islamic Rep.-7.63.61.51.822
Bahrain-11.313.95.22.92.93.1
Qatar-15.618.811.15.55.23.3
Iraq-16196.63.43.43.5
Kuwait-16.717.111.52.32.32.2

For this indicator: 1136 numeric readings and 0 stored missing values across 190 countries or areas. An absent country-year is also shown as —; it is not counted as a stored missing value.

A growth outlook is a starting assumption, not a sales forecast

The IMF World Economic Outlook provides a common framework for comparing output, prices, employment and public finances. It is useful for testing a market plan against a macroeconomic backdrop. A fast-growing economy, however, need not be a large addressable market, and a rise in national income does not specify demand for your product.

Release vintage and actual/estimate/projection status are unavailable for these stored values. SOTW displays IMF readings; it does not produce independent forecasts. A reference year does not identify the WEO release, its assumptions or whether the IMF classified a number as actual data. Verify the corresponding publisher release before using a value in a dated client report.

Read the unit before comparing the countries

Real GDP growth describes the change in output after accounting for price changes. GDP in current US dollars describes size at prevailing prices and exchange rates. PPP measures use international dollars to compare purchasing power; they are not dollar revenues a business can convert or collect. Keep growth, size and purchasing power in separate columns in a market assessment.

Average CPI inflation and end-of-period inflation answer different questions. A country can have a high annual average after an early-year price shock and a lower year-end rate. Neither number, on its own, describes the full path of prices through the year. IMF WEO database and subject definitions.

Worked example: translate an outlook into a sensitivity

Suppose a planning model starts with an indexed sales volume of 100, assumes 2% real growth and 3% price growth, and makes the explicit simplifying assumption that sales follow both. The implied nominal index is 100 × 1.02 × 1.03 = 105.06. Adding the rates would give 105; compounding captures their interaction.

Now lower real growth to 0% while holding price growth at 3%. The index becomes 103, a shortfall of 2.06 against the first scenario. These are illustrative assumptions, not readings from the table. The exercise separates a volume risk from a pricing assumption. Exchange rates, sector demand, market share and costs would still need their own inputs; CPI need not match your selling prices.

A revision compares releases, not adjacent years

A 2.0% reading for one year and 2.5% for the next describes a path across two target years. It is not a 0.5 percentage point upward revision. A revision holds the country, subject and target year fixed and compares two identified publication vintages. Without those identifiers, a stored table cannot show what an analyst knew at an earlier date or establish forecast accuracy.

The IMF's own download identifies the latest year of actual data for each series. That field and the publisher release are not retained with this table. Historic readings can also change when source information changes. IMF guidance on actual data, estimates and revisions.

How to make a report reproducible

The table selects one IMF subject and the current calendar year through five years ahead from SOTW's stored annual history. It preserves the numeric scale and displays available country-year rows. Missing values stay blank. Sorting uses the selected year, with missing readings last; it does not estimate an average outlook or fill a missing horizon. The year window can extend beyond the stored publisher coverage.

Save the subject code, country ID, target year, raw value, unit and retrieval date. Independently record the WEO edition, actual-data boundary and country notes if the report requires them. Some series use country-specific fiscal periods; those mappings are unavailable here. A credible citation states what was verified and what remains unknown.

For an analytical pipeline, review the API documentation and keep this provenance with each observation. The archived release comparisons above provide a separate route for work that depends on a retained vintage.

Showing stored IMF World Economic Outlook values for the selected six-year window. The date window alone does not establish whether a value is observed, estimated or forecast. Publisher release and per-value status were not retained with these rows; units follow the existing subject definitions. Year labels are retained as stored; country-specific fiscal-year mappings are unavailable. Values retain their native scale. Missing values are not zero.

Source: IMF World Economic Outlook.