China, Macao SAR vs Saint Vincent and the Grenadines: ILO: ILO Modelled Estimates Employment in agriculture ILO … Female

China, Macao SAR
0.7 1000 No
in 2025
Saint Vincent and the Grenadines
0.87 1000 No
in 2025
China, Macao SAR rank
182nd
Saint Vincent and the Grenadines rank
180th

ILO: ILO Modelled Estimates Employment in agriculture ILO … Female over time

  • China, Macao SAR
  • Saint Vincent and the Grenadines
0.511.5199120082025

How they compare

Saint Vincent and the Grenadines currently reports 0.87 1000 No against 0.7 1000 No in China, Macao SAR, a difference of 0.17 1000 No.

That makes Saint Vincent and the Grenadines's figure about 1.2 times China, Macao SAR's.

Across all 35 years both countries report, Saint Vincent and the Grenadines has been ahead every year.

China, Macao SAR ranks 182nd and Saint Vincent and the Grenadines ranks 180th of 194 countries.

Saint Vincent and the Grenadines has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade China, Macao SAR Saint Vincent and the Grenadines Difference Ahead
1990s 0.3356 1000 No 1.5 1000 No 1.17 1000 No Saint Vincent and the Grenadines
2000s 0.492 1000 No 1.17 1000 No 0.678 1000 No Saint Vincent and the Grenadines
2010s 0.703 1000 No 0.967 1000 No 0.264 1000 No Saint Vincent and the Grenadines
2020s 0.7217 1000 No 0.8883 1000 No 0.1667 1000 No Saint Vincent and the Grenadines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — employment in agriculture - ilo, China, Macao SAR or Saint Vincent and the Grenadines?
Saint Vincent and the Grenadines, at 0.87 1000 No against 0.7 1000 No in China, Macao SAR as of 2025.
What is the difference in ilo - ilo modelled estimates — employment in agriculture - ilo between China, Macao SAR and Saint Vincent and the Grenadines?
0.17 1000 No, with Saint Vincent and the Grenadines ahead.
How many years of comparable data are there for China, Macao SAR and Saint Vincent and the Grenadines?
35 years are reported by both, from 1991 to 2025.
How do China, Macao SAR and Saint Vincent and the Grenadines rank globally for ilo - ilo modelled estimates — employment in agriculture - ilo?
China, Macao SAR ranks 182nd and Saint Vincent and the Grenadines ranks 180th of 194 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Female — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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China, Macao SAR vs Saint Vincent and the Grenadines: ILO - ILO Modelled Estimates — Employment in agriculture - ILO. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 October 2026, from https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-female-value/china-macao-sar/st-vincent-and-the-grenadines/

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About this data

Indicator
ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Female — Value
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
227 places, 7,928 data points, 1991–2025
Last refreshed

The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.