Real GDP in local currency (units of local currency; seasonally adjusted) - Colombia - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Colombia, seasonally-adjusted real GDP was 262,061,541,600,000 units of local currency in 2026-Q2, compared to 258,731,701,800,000 in 2026-Q1. This marks an increase of 1.29 percent.
Sample. In the quarterly time series plotted above, there are 86 observations overall. The time span covered by the series extends from March 2005 to June 2026.
History. Here are a few statistics we calculated on the whole sample: GDP recorded a bottom of 126,405,658,500,000 units of local currency in March 2005; it reached its highest level of 262,061,541,600,000 in June 2026; it averaged 195,858,862,405,814.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-12-31 | 257079267900000.0 |
| 2026-03-31 | 258731701800000.0 |
| 2026-06-30 | 262061541600000.0 |
Suggestion. One of the advantages of using our web site is that we give you complete metadata. Check it below to better understand the properties of the indicators that you use in your research.
Not for investment purposes. Any financial data made available on this web site are not intended for investment purposes or other financial decisions. Users should consult expert advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Colombia |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | Yes |
| 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.