Democratic Republic of the Congo vs Denmark: FAO Model — Share of non-agricultural AFS employment in total AFS

Democratic Republic of the Congo
7.85 %
in 2023
Denmark
77.39 %
in 2023
Democratic Republic of the Congo rank
15th
Denmark rank
17th

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

  • Democratic Republic of the Congo
  • Denmark
020406080200020112023

How they compare

Denmark currently reports 77.39 % against 7.85 % in Democratic Republic of the Congo, a difference of 69.54 %.

That makes Denmark's figure about 9.9 times Democratic Republic of the Congo's.

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

Democratic Republic of the Congo ranks 15th and Denmark ranks 17th of 15 countries.

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

Head to head by decade

Decade Democratic Republic of the Congo Denmark Difference Ahead
2000s 5.54 % 72.6 % 67.06 % Denmark
2010s 6.25 % 75.38 % 69.13 % Denmark
2020s 7.54 % 77.29 % 69.74 % Denmark

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 afs, Democratic Republic of the Congo or Denmark?
Denmark, at 77.39 % against 7.85 % in Democratic Republic of the Congo as of 2023.
What is the difference in fao model — share of non-agricultural afs employment in total afs between Democratic Republic of the Congo and Denmark?
69.54 %, with Denmark ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Denmark?
24 years are reported by both, from 2000 to 2023.
How do Democratic Republic of the Congo and Denmark rank globally for fao model — share of non-agricultural afs employment in total afs?
Democratic Republic of the Congo ranks 15th and Denmark ranks 17th of 15 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 AFS employment — 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

Democratic Republic of the Congo vs Denmark: FAO Model — Share of non-agricultural AFS employment in total AFS. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://agriculture.statizoid.com/compare/fao-model-share-of-non-agricultural-afs-employment-in-total-afs-employment-value/democratic-republic-of-the-congo/denmark/

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-afs-employment-value/democratic-republic-of-the-congo/denmark/">Democratic Republic of the Congo vs Denmark: FAO Model — Share of non-agricultural AFS employment in total AFS</a> — Statizoid

About this data

Indicator
FAO Model — Share of non-agricultural AFS employment in total AFS employment — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
183 places, 4,118 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.