Real GDP in local currency (units of local currency; seasonally unadjusted) - St. Lucia - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In St. Lucia, seasonally-unadjusted real GDP was 1,480,677,201 units of local currency in 2023-Q1, compared to 1,398,260,371 in 2022-Q4. This represents a rise of 5.89 percent.
Sample. In this quarterly series, there are a total of 68 observations. The period covered by the series goes from June 2006 to March 2023.
History. Here's a snapshot of a few summary statistics we calculated on the entire sample: GDP reached its maximum of 1,480,677,201 units of local currency in March 2023; it recorded a bottom of 946,500,000 in June 2020; it was equal on average to 1,261,541,827.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2022-09-30 | 1330355023.56676 |
| 2022-12-31 | 1398260370.79668 |
| 2023-03-31 | 1480677201.39176 |
Tip. One of the pros of our data visualization and download service is that we publish complete metadata. Check it below to learn more about the properties of the series that you analyze.
Not for investment purposes. Content disseminated on FetchSeries is not meant for investment purposes or as a basis for financial-decision making. Users should obtain professional 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 | St. Lucia |
| 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.