Malaysia vs Papua New Guinea: ILO - ILO Modelled Estimates — Employment in agriculture - ILO

Malaysia
1,654 1000 No
in 2025
Papua New Guinea
1,346 1000 No
in 2025
Malaysia rank
52nd
Papua New Guinea rank
55th

ILO - ILO Modelled Estimates — Employment in agriculture - ILO over time

  • Malaysia
  • Papua New Guinea
5001.0k1.5k2.0k199120082025

How they compare

Malaysia currently reports 1,654 1000 No against 1,346 1000 No in Papua New Guinea, a difference of 308 1000 No.

That makes Malaysia's figure about 1.2 times Papua New Guinea's.

Across all 35 years both countries report, Malaysia has been ahead every year.

Malaysia ranks 52nd and Papua New Guinea ranks 55th of 175 countries.

Malaysia has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Malaysia Papua New Guinea Difference Ahead
1990s 1,214 1000 No 352.83 1000 No 860.82 1000 No Malaysia
2000s 1,481 1000 No 512.76 1000 No 968.65 1000 No Malaysia
2010s 1,699 1000 No 791.18 1000 No 907.44 1000 No Malaysia
2020s 1,683 1000 No 1,284 1000 No 399.45 1000 No Malaysia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — employment in agriculture - ilo, Malaysia or Papua New Guinea?
Malaysia, at 1,654 1000 No against 1,346 1000 No in Papua New Guinea as of 2025.
What is the difference in ilo - ilo modelled estimates — employment in agriculture - ilo between Malaysia and Papua New Guinea?
308 1000 No, with Malaysia ahead.
How many years of comparable data are there for Malaysia and Papua New Guinea?
35 years are reported by both, from 1991 to 2025.
How do Malaysia and Papua New Guinea rank globally for ilo - ilo modelled estimates — employment in agriculture - ilo?
Malaysia ranks 52nd and Papua New Guinea ranks 55th of 175 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 — 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

Malaysia vs Papua New Guinea: ILO - ILO Modelled Estimates — Employment in agriculture - ILO. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-value/malaysia/papua-new-guinea/

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-value/malaysia/papua-new-guinea/">Malaysia vs Papua New Guinea: ILO - ILO Modelled Estimates — Employment in agriculture - ILO</a> — Statizoid

About this data

Indicator
ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Value
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
226 places, 7,893 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.