Real GDP in local currency (units of local currency; seasonally unadjusted) - Guatemala - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Guatemala, seasonally-unadjusted real GDP stood at 164,452,512,442 units of local currency in 2026-Q2, compared to 164,377,503,779 in the previous quarter. This represents a rise of 0.05 percent.
Sample. This quarterly time series has 54 data points in total. The span of time covered by the series extends from March 2013 to June 2026.
History. Here’s a quick look at some summary statistics we computed on the full sample: GDP hit a trough of 102,372,508,085 units of local currency in September 2013; it recorded its maximum of 164,452,512,442 units of local currency in June 2026; it averaged 130,537,177,732 units of local currency.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-12-31 | 164,024,794,226 |
| 2026-03-31 | 164,377,503,779 |
| 2026-06-30 | 164,452,512,442 |
Heads-up. Our metadata often comprise references to the sources of the data series we publish. You can use these references to find more details.
Not for investment purposes. Any data found on this web site are not suitable for investment purposes or as a basis for making financial decisions. Users should obtain expert advice and do their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Guatemala |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | No |
| Deflation method | Constant prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Units of local currency |
| Source | International Monetary Fund |
| Source type | International organization |
| Data licence | Free reuse subject to conditions |
| Other information | Not available |
| FSR temporal aggregation code | SM03 |
Series in the same data set
Discover the other time series included in this data set.