Value Added (Agriculture, Forestry and Fishing) — Value Standard in New Caledonia
New Caledonia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 23,248 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in New Caledonia, 1970–2024
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) — value standard in New Caledonia is 23,248 million SLC, measured in 2024. That is the highest value across all 55 years on record.
The figure is up 5.6% on the previous year and up 37.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in New Caledonia peaked at 23,248 million SLC in 2024 and was at its lowest, 1,429 million SLC, in 1981.
New Caledonia ranks 104th of 199 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in New Caledonia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1,643 million SLC | — |
| 1971 | 2,250 million SLC | +36.9% |
| 1972 | 2,162 million SLC | -3.9% |
| 1973 | 1,586 million SLC | -26.6% |
| 1974 | 1,721 million SLC | +8.5% |
| 1975 | 1,901 million SLC | +10.5% |
| 1976 | 2,368 million SLC | +24.6% |
| 1977 | 2,451 million SLC | +3.5% |
| 1978 | 2,196 million SLC | -10.4% |
| 1979 | 2,340 million SLC | +6.6% |
| 1980 | 2,719 million SLC | +16.2% |
| 1981 | 1,429 million SLC | -47.4% |
| 1982 | 1,820 million SLC | +27.4% |
| 1983 | 2,155 million SLC | +18.4% |
| 1984 | 2,252 million SLC | +4.5% |
| 1985 | 2,581 million SLC | +14.6% |
| 1986 | 2,831 million SLC | +9.7% |
| 1987 | 3,156 million SLC | +11.5% |
| 1988 | 3,575 million SLC | +13.3% |
| 1989 | 4,511 million SLC | +26.2% |
| 1990 | 5,032 million SLC | +11.5% |
| 1991 | 5,105 million SLC | +1.5% |
| 1992 | 5,135 million SLC | +0.6% |
| 1993 | 5,669 million SLC | +10.4% |
| 1994 | 5,798 million SLC | +2.3% |
| 1995 | 5,921 million SLC | +2.1% |
| 1996 | 5,812 million SLC | -1.8% |
| 1997 | 6,300 million SLC | +8.4% |
| 1998 | 8,455 million SLC | +34.2% |
| 1999 | 8,838 million SLC | +4.5% |
| 2000 | 9,676 million SLC | +9.5% |
| 2001 | 10,370 million SLC | +7.2% |
| 2002 | 8,922 million SLC | -14.0% |
| 2003 | 9,041 million SLC | +1.3% |
| 2004 | 10,105 million SLC | +11.8% |
| 2005 | 9,267 million SLC | -8.3% |
| 2006 | 11,456 million SLC | +23.6% |
| 2007 | 9,769 million SLC | -14.7% |
| 2008 | 10,209 million SLC | +4.5% |
| 2009 | 10,550 million SLC | +3.3% |
| 2010 | 11,335 million SLC | +7.4% |
| 2011 | 12,142 million SLC | +7.1% |
| 2012 | 14,753 million SLC | +21.5% |
| 2013 | 15,627 million SLC | +5.9% |
| 2014 | 16,932 million SLC | +8.4% |
| 2015 | 17,982 million SLC | +6.2% |
| 2016 | 18,122 million SLC | +0.8% |
| 2017 | 19,497 million SLC | +7.6% |
| 2018 | 19,504 million SLC | +0.0% |
| 2019 | 19,824 million SLC | +1.6% |
| 2020 | 19,553 million SLC | -1.4% |
| 2021 | 19,942 million SLC | +2.0% |
| 2022 | 21,478 million SLC | +7.7% |
| 2023 | 22,023 million SLC | +2.5% |
| 2024 | 23,248 million SLC | +5.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 2,062 million SLC | 1,586 million SLC | 2,451 million SLC | 10 |
| 1980s | 2,703 million SLC | 1,429 million SLC | 4,511 million SLC | 10 |
| 1990s | 6,206 million SLC | 5,032 million SLC | 8,838 million SLC | 10 |
| 2000s | 9,937 million SLC | 8,922 million SLC | 11,456 million SLC | 10 |
| 2010s | 16,572 million SLC | 11,335 million SLC | 19,824 million SLC | 10 |
| 2020s | 21,249 million SLC | 19,553 million SLC | 23,248 million SLC | 5 |
Countries ranked near New Caledonia
- 101 Mauritius 28,927 million SLC compare
- 102 Turkmenistan 26,802 million SLC compare
- 103 Yugoslav SFR 25,451 million SLC compare
- 105 New Zealand 23,211 million SLC compare
- 106 Papua New Guinea 22,683 million SLC compare
- 107 Denmark 21,983 million SLC compare
More environment data for New Caledonia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly 7.82 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 8.33 Percentage change (2025)
- Standard Deviation 0.314 °C (2025)
- Temperature change 1.69 °C (2025)
- Permanent meadows and pastures — Area 174.33 1000 ha (2024)
- Nutrient nitrogen N (total) — Use per capita 1.92 kg/cap (2024)
- Nutrient phosphate P2O5 (total) — Import quantity 333 t (2024)
- Nutrient phosphate P2O5 (total) — Agricultural Use 396 t (2024)
- Nutrient phosphate P2O5 (total) — Use per area of cropland 51.1 kg/ha (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in New Caledonia?
- Value added (agriculture, forestry and fishing) — value standard in New Caledonia was 23,248 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in New Caledonia?
- The highest recorded value was 23,248 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in New Caledonia?
- The lowest recorded value was 1,429 million SLC in 1981.
- How does New Caledonia rank for value added (agriculture, forestry and fishing) — value standard?
- New Caledonia ranks 104th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in New Caledonia?
- Over the last ten years it is up 37.3%. The long-run trend across the full record is volatile.
- Where does this New Caledonia 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) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 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).