Peru vs Slovenia: Trade in employment by workforce characteristics (TiMBC) 2025 edition
Trade in employment by workforce characteristics (TiMBC) 2025 edition over time
- Peru
- Slovenia
How they compare
Peru currently reports 274.7 Persons against 5.2 Persons in Slovenia, a difference of 269.5 Persons.
That makes Peru's figure about 52.8 times Slovenia's.
Across all 15 years both countries report, Peru has been ahead every year.
Peru ranks 11th and Slovenia ranks 10th of 47 countries.
Peru has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Peru | Slovenia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 209.45 Persons | 4.05 Persons | 205.4 Persons | Peru |
| 2010s | 220.9 Persons | 5.17 Persons | 215.73 Persons | Peru |
| 2020s | 238.7 Persons | 4.47 Persons | 234.23 Persons | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trade in employment by workforce characteristics (timbc) 2025 edition, Peru or Slovenia?
- Peru, at 274.7 Persons against 5.2 Persons in Slovenia as of 2022.
- What is the difference in trade in employment by workforce characteristics (timbc) 2025 edition between Peru and Slovenia?
- 269.5 Persons, with Peru ahead.
- How many years of comparable data are there for Peru and Slovenia?
- 15 years are reported by both, from 2008 to 2022.
- How do Peru and Slovenia rank globally for trade in employment by workforce characteristics (timbc) 2025 edition?
- Peru ranks 11th and Slovenia ranks 10th of 47 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Trade in employment by workforce characteristics (TiMBC) 2025 edition — Domestic employment embodied in foreign final demand. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Trade in employment by characteristics adds a dimension to labour market indicators published in TiM database and is designed to complement OECD's Trade in Value Added (TiVA) indicators (TiVA). Estimates of employment embodied in foreign final demand (or in gross exports) can reveal the extent to which a country's workforce depends on its integration into the global economy. TiM indicators by characteristics are calculated using the OECD's Inter-Country Input-Output (ICIO) Tables, (ICIO), with recent official statistics of employment by industrial activity. • TiM web page. • TiM by characteristics documentation • ReadMe TiM by characteristics • Contact: icio-tiva.contact@oecd.org