Papua New Guinea vs Yemen: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Papua New Guinea
- Yemen
How they compare
Papua New Guinea currently reports 0.0126 against 0.0125 in Yemen, a difference of 0.0001.
Across all 11 years both countries report, Papua New Guinea has been ahead every year.
Papua New Guinea ranks 109th and Yemen ranks 110th of 119 countries.
Papua New Guinea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Papua New Guinea | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.02 | 0.0089 | 0.011 | Papua New Guinea |
| 2010s | 0.0224 | 0.0103 | 0.012 | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — ratio of value added, Papua New Guinea or Yemen?
- Papua New Guinea, at 0.0126 against 0.0125 in Yemen as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Papua New Guinea and Yemen?
- 0.0001, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Yemen?
- 11 years are reported by both, from 2004 to 2014.
- How do Papua New Guinea and Yemen rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Papua New Guinea ranks 109th and Yemen ranks 110th of 119 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Ratio of Value Added (Agriculture, Forestry and Fishing) US$, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.