Wage and salaried workers, female (% of female employment) (modeled ILO estimate) in St. Vincent and the Grenadines stood at 76.68% in 2025, according to World Bank. The latest value is up 0.15 percentage points from 76.53% in 2024. Ten years earlier, in 2015, the value was 77.09% (down 0.41 percentage points since). The highest value since 1991 was 79.51% in 1992, the lowest 76.25% in 2020. St. Vincent and the Grenadines ranked 73rd highest of the 182 countries in this dataset in 2025; Qatar ranked first.
Data source: World Bank · Unit: % · Category: Labor and Employment · Explore more indicators on EconDash
Wage and salaried workers, female (% of female employment) (modeled ILO estimate), measured in %, reflects labor market conditions in St. Vincent and the Grenadines, indicating the balance between available workers and job openings. It serves as a crucial signal of economic health, consumer spending capacity, and social stability. Labor market data typically includes multiple dimensions: unemployment rates, employment-to-population ratios, labor force participation, and wage growth. Each metric captures different aspects of job market dynamics — for example, the unemployment rate counts only those actively seeking work, while the participation rate reveals how many working-age people are engaged in the labor market. In St. Vincent and the Grenadines, labor statistics are gathered through household surveys, employer reports, and administrative records like unemployment benefit claims. Changes in Wage and salaried workers, female (% of female employment) (modeled ILO estimate) often precede broader economic shifts: rising unemployment typically signals slowing economic activity, while tightening labor markets may foreshadow wage pressures and inflation.
Wage and salaried workers, female (% of female employment) (modeled ILO estimate) in St. Vincent and the Grenadines stood at 76.68% in 2025, according to World Bank.
The latest value is up 0.15 percentage points from 76.53% in 2024. Ten years earlier, in 2015, the value was 77.09% (down 0.41 percentage points since).
St. Vincent and the Grenadines ranked 73rd highest of the 182 countries in this dataset in 2025; Qatar ranked first.
The highest value since 1991 was 79.51% in 1992, the lowest 76.25% in 2020.
| Indicator | Wage and salaried workers, female (% of female employment) (modeled ILO estimate) |
|---|---|
| Country | St. Vincent and the Grenadines |
| Category | Labor and Employment |
| Unit | % |
| Source | World Bank |
| Interactive chart | View on EconDash |
| API access | EconDash API documentation |
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World Bank. (2026). Wage and salaried workers, female (% of female employment) (modeled ILO estimate) — St. Vincent and the Grenadines [Data set]. Retrieved November 13, 2026, from EconDash: https://econdash.org/chart/wdi-sl-emp-work-fe-zs/VCT. Original source: https://data.worldbank.org/indicator/SL.EMP.WORK.FE.ZS
World Bank. "Wage and salaried workers, female (% of female employment) (modeled ILO estimate) — St. Vincent and the Grenadines." EconDash, 2026, https://econdash.org/chart/wdi-sl-emp-work-fe-zs/VCT. Accessed 13 Nov. 2026. Original source: https://data.worldbank.org/indicator/SL.EMP.WORK.FE.ZS.
World Bank. 2026. "Wage and salaried workers, female (% of female employment) (modeled ILO estimate) — St. Vincent and the Grenadines." EconDash. Accessed November 13, 2026. https://econdash.org/chart/wdi-sl-emp-work-fe-zs/VCT. Original source: https://data.worldbank.org/indicator/SL.EMP.WORK.FE.ZS.
@misc{econdash_wdi_sl_emp_work_fe_zs_vct,
author = {{World Bank}},
title = {{Wage and salaried workers, female (\% of female employment) (modeled ILO estimate) --- St. Vincent and the Grenadines}},
howpublished = {EconDash},
year = {2026},
url = {https://econdash.org/chart/wdi-sl-emp-work-fe-zs/VCT},
note = {Accessed: 2026-11-13. Original source: https://data.worldbank.org/indicator/SL.EMP.WORK.FE.ZS}
}Browse indicators available for St. Vincent and the Grenadines. Click any indicator to view its interactive chart, compare with other countries, and download historical data.
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