Republic of Moldova vs Togo: ILO: ILO Modelled Estimates Employment in agriculture ILO … Female

Republic of Moldova
489.06 1000 No
in 2025
Togo
548.81 1000 No
in 2025
Republic of Moldova rank
66th
Togo rank
63rd

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

  • Republic of Moldova
  • Togo
0200400600199120082025

How they compare

Togo currently reports 548.81 1000 No against 489.06 1000 No in Republic of Moldova, a difference of 59.75 1000 No.

That makes Togo's figure about 1.1 times Republic of Moldova's.

The two have swapped places 3 times across 35 shared years of data; in 1991 it was Republic of Moldova ahead.

Republic of Moldova ranks 66th and Togo ranks 63rd of 194 countries.

Across the 4 decades both report, Republic of Moldova averaged higher in 3 and Togo in 1.

Head to head by decade

Decade Republic of Moldova Togo Difference Ahead
1990s 377.82 1000 No 315.21 1000 No 62.61 1000 No Republic of Moldova
2000s 474.85 1000 No 396.83 1000 No 78.02 1000 No Republic of Moldova
2010s 567.04 1000 No 385.58 1000 No 181.46 1000 No Republic of Moldova
2020s 512.9 1000 No 542.14 1000 No 29.24 1000 No Togo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — employment in agriculture - ilo, Republic of Moldova or Togo?
Togo, at 548.81 1000 No against 489.06 1000 No in Republic of Moldova as of 2025.
What is the difference in ilo - ilo modelled estimates — employment in agriculture - ilo between Republic of Moldova and Togo?
59.75 1000 No, with Togo ahead.
How many years of comparable data are there for Republic of Moldova and Togo?
35 years are reported by both, from 1991 to 2025.
How do Republic of Moldova and Togo rank globally for ilo - ilo modelled estimates — employment in agriculture - ilo?
Republic of Moldova ranks 66th and Togo ranks 63rd 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.

Individual pages

Share, cite or embed this page

Cite this page

Republic of Moldova vs Togo: 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/republic-of-moldova/togo/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-female-value/republic-of-moldova/togo/">Republic of Moldova vs Togo: ILO - ILO Modelled Estimates — Employment in agriculture - ILO</a> — Statizoid

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.