Honduras vs Papua New Guinea: Employment in agrifood systems by subindustry and sex: Off-farm

Honduras
445.13 1000 No
in 2023
Papua New Guinea
484.49 1000 No
in 2023
Honduras rank
49th
Papua New Guinea rank
46th

Employment in agrifood systems by subindustry and sex: Off-farm over time

  • Honduras
  • Papua New Guinea
100200300400500200020112023

How they compare

Papua New Guinea currently reports 484.49 1000 No against 445.13 1000 No in Honduras, a difference of 39.36 1000 No.

That makes Papua New Guinea's figure about 1.1 times Honduras's.

The two have swapped places 1 time across 24 shared years of data; in 2000 it was Honduras ahead.

Honduras ranks 49th and Papua New Guinea ranks 46th of 126 countries.

Honduras has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Honduras Papua New Guinea Difference Ahead
2000s 276.33 1000 No 148.89 1000 No 127.44 1000 No Honduras
2010s 416.43 1000 No 272.8 1000 No 143.64 1000 No Honduras
2020s 454.69 1000 No 453.87 1000 No 0.8175 1000 No Honduras

Averages of every year both report within each decade.

Frequently asked questions

Which has higher employment in agrifood systems by subindustry and sex: off-farm, Honduras or Papua New Guinea?
Papua New Guinea, at 484.49 1000 No against 445.13 1000 No in Honduras as of 2023.
What is the difference in employment in agrifood systems by subindustry and sex: off-farm between Honduras and Papua New Guinea?
39.36 1000 No, with Papua New Guinea ahead.
How many years of comparable data are there for Honduras and Papua New Guinea?
24 years are reported by both, from 2000 to 2023.
How do Honduras and Papua New Guinea rank globally for employment in agrifood systems by subindustry and sex: off-farm?
Honduras ranks 49th and Papua New Guinea ranks 46th of 126 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Employment in agrifood systems by subindustry and sex: Off-farm agrifood systems — Value — Female — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Honduras vs Papua New Guinea: Employment in agrifood systems by subindustry and sex: Off-farm. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-off-farm-agrifood-systems-value-2/honduras/papua-new-guinea/

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<a href="https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-off-farm-agrifood-systems-value-2/honduras/papua-new-guinea/">Honduras vs Papua New Guinea: Employment in agrifood systems by subindustry and sex: Off-farm</a> — Statizoid

About this data

Indicator
Employment in agrifood systems by subindustry and sex: Off-farm agrifood systems — Value — Female — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
170 places, 3,931 data points, 2000–2023
Last refreshed

The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.