SZL to PYG - Currency converter
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| Date | Rate |
|---|---|
| 2026-06-24 - Wednesday | 1 SZL = 1 059 PYG |
| 2026-06-23 - Tuesday | 1 SZL = 1 063 PYG |
| 2026-06-22 - Monday | 1 SZL = 1 084 PYG |
| 2026-06-21 - Sunday | 1 SZL = 1 088 PYG |
| 2026-06-20 - Saturday | 1 SZL = 1 088 PYG |
| 2026-06-19 - Friday | 1 SZL = 1 089 PYG |
| 2026-06-18 - Thursday | 1 SZL = 1 091 PYG |
| 2026-06-17 - Wednesday | 1 SZL = 1 094 PYG |
| 2026-06-16 - Tuesday | 1 SZL = 1 124 PYG |
| 2026-06-15 - Monday | 1 SZL = 1 125 PYG |
| 2026-06-14 - Sunday | 1 SZL = 1 118 PYG |
| 2026-06-13 - Saturday | 1 SZL = 1 118 PYG |
| 2026-06-12 - Friday | 1 SZL = 1 123 PYG |
| 2026-06-11 - Thursday | 1 SZL = 1 137 PYG |
| 2026-06-10 - Wednesday | 1 SZL = 1 133 PYG |
| 2026-06-09 - Tuesday | 1 SZL = 1 134 PYG |
 SZL |
 PYG |
|---|---|
| 1 | 1 059 |
| 10 | 10 586 |
| 50 | 52 928 |
| 100 | 105 857 |
| 200 | 211 714 |
| 500 | 529 285 |
| 1 000 | 1 058 569 |
| 2 000 | 2 117 139 |
| 5 000 | 5 292 847 |
| 10 000 | 10 585 694 |
| 20 000 | 21 171 389 |
| 50 000 | 52 928 472 |
| 100 000 | 105 856 944 |
| 200 000 | 211 713 889 |
| 500 000 | 529 284 722 |
| 1 000 000 | 1 058 569 444 |
| PYG |
SZL |
|---|---|
| 1 | 0,00 |
| 10 | 0,01 |
| 50 | 0,05 |
| 100 | 0,09 |
| 200 | 0,19 |
| 500 | 0,47 |
| 1 000 | 0,94 |
| 2 000 | 1,89 |
| 5 000 | 4,72 |
| 10 000 | 9,45 |
| 20 000 | 18,89 |
| 50 000 | 47,23 |
| 100 000 | 94,47 |
| 200 000 | 188,93 |
| 500 000 | 472,34 |
| 1 000 000 | 944,67 |
Currency Pair SZL/PYG: An Overview
The currency pair SZL/PYG represents the relationship between two different currencies: the Swazi lilangeni (SZL) and the Paraguayan guarani (PYG). To understand how these currencies interact in the global market, it is important to know their respective economic backgrounds and areas of use.
Swazi Lilangeni (SZL)
The Swazi lilangeni (SZL) is the official currency of Eswatini, formerly known as Swaziland. The lilangeni was introduced in 1974 and is pegged to the South African rand (ZAR) through the Common Monetary Area (CMA). This link means that the SZL often follows the exchange rate fluctuations of the ZAR. Eswatini's economy is heavily dependent on agriculture and the textile industry, which affects the value of the lilangeni in the international market.
Economic Factors
Factors that affect the SZL include changes in commodity prices, especially sugar and textiles, as well as political stability and economic reforms within the country. Since the lilangeni is pegged to the South African rand, it is also influenced by the economic conditions of South Africa.
Paraguayan Guarani (PYG)
The Paraguayan guarani (PYG) is the official currency of Paraguay and has been in circulation since 1944. Paraguay's economy is diversified and includes agriculture, livestock farming, and a growing industrial sector. The country's economic stability and development directly impact the value of the guarani.
Economic Factors
Key factors that affect the PYG include agricultural production, especially soybeans and meat, as well as political stability and economic reforms. International trade relations and investments also play a crucial role in determining the value of the guarani.
Conversion Between SZL and PYG
On our website, you can easily convert between different currencies, including SZL and PYG. To use the currency converter, follow these steps:
- Enter the amount you want to convert.
- Select the base currency (SZL or PYG).
- Choose the target currency (PYG or SZL).
- The conversion will then be done automatically.
In addition to viewing the current exchange rate, you can also access a chart with historical data for the currency pair SZL/PYG, providing you with a deeper insight into their past performance and future opportunities.
Summary
Understanding the currency pair SZL/PYG requires insight into both Eswatini's and Paraguay's economies. By using our currency converter, you can easily and quickly convert between different currencies and gain a clear picture of historical exchange rates. This tool is invaluable for anyone who needs to stay updated on currency rates and their fluctuations.
