Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Kingdom of Lesotho - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In the Kingdom of Lesotho, seasonally-unadjusted nominal GDP stood at 10,215,000,000 units of local currency in 2024-Q2, versus 10,376,000,000 in 2024-Q1. This constitutes a reduction of 1.55 percent.
Sample. The quarterly series plotted above has 70 data points overall. The series covers the time span extending from March 2007 to June 2024.
History. Take a look at some simple statistics calculated on the entire sample: GDP had a mean value of 6,770,194,556 units of local currency; it hit a maximum of 10,376,000,000 in March 2024; it recorded a bottom of 2,690,117,510 in March 2007.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2023-12-31 | 9885000000.0 |
| 2024-03-31 | 10376000000.0 |
| 2024-06-30 | 10215000000.0 |
Nugget of wisdom. A plus of using our web site is that we give you accurate metadata. Find it below to gain insights on the characteristics of the time series that you are exploring.
Not for investment purposes. Data series and other information found on this web site are not intended for investment purposes or as a basis for financial-decision making. Users should ask for expert advice and do their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Kingdom of Lesotho |
| 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.