India vs Zimbabwe: Labor Force Survey
Labor Force Survey over time
- India
- Zimbabwe
How they compare
India currently reports 1 Availability score over 10 years against 1 Availability score over 10 years in Zimbabwe, a difference of 0 Availability score over 10 years.
The two have swapped places 3 times across 20 shared years of data; in 2004 it was India ahead.
India ranks 1st and Zimbabwe ranks 1st of 194 countries.
India has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | India | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1 Availability score over 10 years | 0.33 Availability score over 10 years | 0.67 Availability score over 10 years | India |
| 2010s | 1 Availability score over 10 years | 0.702 Availability score over 10 years | 0.298 Availability score over 10 years | India |
| 2020s | 1 Availability score over 10 years | 1 Availability score over 10 years | 0 Availability score over 10 years | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor force survey, India or Zimbabwe?
- India, at 1 Availability score over 10 years against 1 Availability score over 10 years in Zimbabwe as of 2023.
- What is the difference in labor force survey between India and Zimbabwe?
- 0 Availability score over 10 years, with India ahead.
- How many years of comparable data are there for India and Zimbabwe?
- 20 years are reported by both, from 2004 to 2023.
- How do India and Zimbabwe rank globally for labor force survey?
- India ranks 1st and Zimbabwe ranks 1st of 194 countries.
- Where does this data come from?
- Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Labor Force Survey (Availability score over 10 years). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Labor force survey is a standard household-based survey of work-related statistics at the national and sub-national employment or unemployment levels, rates or trends. The surveys also provide the characteristics of the employed or unemployed, including labor force status by age or gender, breakdowns between employees and the self-employed, public versus private sector employment, multiple job-holding, hiring, job creation, and duration of unemployment.