Ghana vs Peru: Value Added (Agriculture, Forestry and Fishing) — Value US$
Value Added (Agriculture, Forestry and Fishing) — Value US$ over time
- Ghana
- Peru
How they compare
Peru currently reports 17,413 million USD against 16,090 million USD in Ghana, a difference of 1,323 million USD.
That makes Peru's figure about 1.1 times Ghana's.
The two have swapped places 7 times across 55 shared years of data; in 1970 it was Ghana ahead.
Ghana ranks 37th and Peru ranks 36th of 200 countries.
Across the 6 decades both report, Ghana averaged higher in 4 and Peru in 2.
Head to head by decade
| Decade | Ghana | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 1,999 million USD | 1,531 million USD | 468.51 million USD | Ghana |
| 1980s | 3,433 million USD | 2,220 million USD | 1,213 million USD | Ghana |
| 1990s | 4,218 million USD | 3,681 million USD | 537.71 million USD | Ghana |
| 2000s | 6,252 million USD | 5,684 million USD | 567.89 million USD | Ghana |
| 2010s | 11,530 million USD | 13,426 million USD | 1,896 million USD | Peru |
| 2020s | 15,107 million USD | 17,184 million USD | 2,077 million USD | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture, forestry and fishing) — value us$, Ghana or Peru?
- Peru, at 17,413 million USD against 16,090 million USD in Ghana as of 2024.
- What is the difference in value added (agriculture, forestry and fishing) — value us$ between Ghana and Peru?
- 1,323 million USD, with Peru ahead.
- How many years of comparable data are there for Ghana and Peru?
- 55 years are reported by both, from 1970 to 2024.
- How do Ghana and Peru rank globally for value added (agriculture, forestry and fishing) — value us$?
- Ghana ranks 37th and Peru ranks 36th of 200 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).