Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Samoa - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Samoa, seasonally-unadjusted nominal GDP was 689,818,256 units of local currency in 2024-Q2, compared to 730,379,336 in 2024-Q1. This represents a reduction of 5.55 percent.
Sample. There are 46 observations overall in the quarterly time series presented in the plot above. The series covers the time period stretching from March 2013 to June 2024.
History. Here’s a quick look at some simple statistics we computed on the whole sample: GDP achieved a maximum of 791,274,844 units of local currency in December 2023; it hit a minimum of 445,503,801 in March 2014; it had an average value of 565,711,813.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2023-12-31 | 791274844.025477 |
| 2024-03-31 | 730379336.453298 |
| 2024-06-30 | 689818255.734715 |
Hint. A plus of our web site is that we publish well-crafted metadata. Check it below to learn more about the characteristics of the indicators that you use in your research.
Not for investment purposes. Information provided on FetchSeries is not intended for investment purposes or any other financial decision. Users should ask for expert advice and perform their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Samoa |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | No |
| Deflation method | Current 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.