Eswatini vs Lao People's Democratic Republic: FAO Model — Share of non-agricultural AFS employment in total

Eswatini
17.11 %
in 2023
Lao People's Democratic Republic
8.19 %
in 2023
Eswatini rank
8th
Lao People's Democratic Republic rank
11th

FAO Model — Share of non-agricultural AFS employment in total over time

  • Eswatini
  • Lao People's Democratic Republic
510152025200020112023

How they compare

Eswatini currently reports 17.11 % against 8.19 % in Lao People's Democratic Republic, a difference of 8.92 %.

That makes Eswatini's figure about 2.1 times Lao People's Democratic Republic's.

Across all 24 years both countries report, Eswatini has been ahead every year.

Eswatini ranks 8th and Lao People's Democratic Republic ranks 11th of 125 countries.

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

Head to head by decade

Decade Eswatini Lao People's Democratic Republic Difference Ahead
2000s 16.59 % 6.88 % 9.71 % Eswatini
2010s 18.56 % 7.35 % 11.21 % Eswatini
2020s 19.87 % 8.39 % 11.48 % Eswatini

Averages of every year both report within each decade.

Frequently asked questions

Which has higher fao model — share of non-agricultural afs employment in total, Eswatini or Lao People's Democratic Republic?
Eswatini, at 17.11 % against 8.19 % in Lao People's Democratic Republic as of 2023.
What is the difference in fao model — share of non-agricultural afs employment in total between Eswatini and Lao People's Democratic Republic?
8.92 %, with Eswatini ahead.
How many years of comparable data are there for Eswatini and Lao People's Democratic Republic?
24 years are reported by both, from 2000 to 2023.
How do Eswatini and Lao People's Democratic Republic rank globally for fao model — share of non-agricultural afs employment in total?
Eswatini ranks 8th and Lao People's Democratic Republic ranks 11th of 125 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as FAO Model — Share of non-agricultural AFS employment in total employment — Male — 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

Eswatini vs Lao People's Democratic Republic: FAO Model — Share of non-agricultural AFS employment in total. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/fao-model-share-of-non-agricultural-afs-employment-in-total-employment-male-value/eswatini/lao-people-s-democratic-republic/

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/fao-model-share-of-non-agricultural-afs-employment-in-total-employment-male-value/eswatini/lao-people-s-democratic-republic/">Eswatini vs Lao People's Democratic Republic: FAO Model — Share of non-agricultural AFS employment in total</a> — Statizoid

About this data

Indicator
FAO Model — Share of non-agricultural AFS employment in total employment — Male — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
171 places, 3,932 data points, 2000–2023
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.