China, mainland vs Georgia: FAO Model — Share of non-agricultural AFS employment in total AFS
FAO Model — Share of non-agricultural AFS employment in total AFS over time
- China, mainland
- Georgia
How they compare
Georgia currently reports 24.29 % against 22.56 % in China, mainland, a difference of 1.73 %.
That makes Georgia's figure about 1.1 times China, mainland's.
The two have swapped places 2 times across 24 shared years of data; in 2000 it was Georgia ahead.
China, mainland ranks 115th and Georgia ranks 112th of 137 countries.
Georgia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | China, mainland | Georgia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 10.88 % | 15.89 % | 5.01 % | Georgia |
| 2010s | 18.18 % | 20.18 % | 2 % | Georgia |
| 2020s | 21.86 % | 22.98 % | 1.12 % | Georgia |
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, China, mainland or Georgia?
- Georgia, at 24.29 % against 22.56 % in China, mainland as of 2023.
- What is the difference in fao model — share of non-agricultural afs employment in total afs between China, mainland and Georgia?
- 1.73 %, with Georgia ahead.
- How many years of comparable data are there for China, mainland and Georgia?
- 24 years are reported by both, from 2000 to 2023.
- How do China, mainland and Georgia rank globally for fao model — share of non-agricultural afs employment in total afs?
- China, mainland ranks 115th and Georgia ranks 112th of 137 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
About this data
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.