Value Added (Agriculture, Forestry and Fishing) β Value Standard in French Polynesia
French Polynesia: Value Added (Agriculture, Forestry and Fishing) β Value Standard was 18,689 million SLC in 2024. β² Rising
Value Added (Agriculture, Forestry and Fishing) β Value Standard in French Polynesia, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) β value standard in French Polynesia is 18,689 million SLC, measured in 2024.
That represents a change of up 1.1% on the previous year and up 6.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value standard in French Polynesia peaked at 22,088 million SLC in 2000 and was at its lowest, 1,787 million SLC, in 1971.
French Polynesia ranks 111th of 196 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3,319 million SLC | 1,787 million SLC | 5,989 million SLC | 10 |
| 1980s | 11,335 million SLC | 6,362 million SLC | 16,153 million SLC | 10 |
| 1990s | 18,590 million SLC | 15,242 million SLC | 20,748 million SLC | 10 |
| 2000s | 16,759 million SLC | 12,974 million SLC | 22,088 million SLC | 10 |
| 2010s | 16,210 million SLC | 12,435 million SLC | 19,065 million SLC | 10 |
| 2020s | 17,303 million SLC | 16,179 million SLC | 18,689 million SLC | 5 |
Countries ranked near French Polynesia
More environment data for French Polynesia
- Historical exposure to drought β Cropland soil moisture anomaly -4.73 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought β Land soil moisture anomaly -4.42 Percentage change (2025)
- Standard Deviation 0.27 Β°C (2025)
- Temperature change 0.863 Β°C (2025)
- Cropland β Share in Land area 7.69 % (2024)
- Country area β Area 352.1 1000 ha (2024)
- Cropland β Share in Agricultural land 94.54 % (2024)
- Cropland β Area 27.08 1000 ha (2024)
- Agricultural land β Value of agricultural production (Int. $) per Area 1,131 USD_PPP/ha (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value standard in French Polynesia?
- Value added (agriculture, forestry and fishing) β value standard in French Polynesia was 18,689 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) β value standard recorded in French Polynesia?
- The highest recorded value was 22,088 million SLC in 2000.
- What is the lowest value added (agriculture, forestry and fishing) β value standard recorded in French Polynesia?
- The lowest recorded value was 1,787 million SLC in 1971.
- How does French Polynesia rank for value added (agriculture, forestry and fishing) β value standard?
- French Polynesia ranks 111th out of 196 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value standard rising or falling in French Polynesia?
- Over the last ten years it is up 6.4%. The long-run trend across the full record is rising.
- Where does this French Polynesia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) β Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).