Value Added (Agriculture, Forestry and Fishing) — Value Standard in Djibouti
Djibouti: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 11,474 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Djibouti, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Djibouti recorded 11,474 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 8.2% on the previous year and up 146.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Djibouti peaked at 11,474 million SLC in 2024 and was at its lowest, 673.91 million SLC, in 1970.
Djibouti ranks 120th 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 Djibouti, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 673.91 million SLC | — |
| 1971 | 771.74 million SLC | +14.5% |
| 1972 | 838.18 million SLC | +8.6% |
| 1973 | 896.46 million SLC | +7.0% |
| 1974 | 1,032 million SLC | +15.1% |
| 1975 | 1,106 million SLC | +7.1% |
| 1976 | 1,179 million SLC | +6.6% |
| 1977 | 1,750 million SLC | +48.4% |
| 1978 | 3,101 million SLC | +77.2% |
| 1979 | 1,764 million SLC | -43.1% |
| 1980 | 1,849 million SLC | +4.8% |
| 1981 | 1,976 million SLC | +6.9% |
| 1982 | 2,356 million SLC | +19.2% |
| 1983 | 2,398 million SLC | +1.8% |
| 1984 | 2,314 million SLC | -3.5% |
| 1985 | 2,298 million SLC | -0.7% |
| 1986 | 2,369 million SLC | +3.1% |
| 1987 | 2,307 million SLC | -2.6% |
| 1988 | 2,340 million SLC | +1.4% |
| 1989 | 2,295 million SLC | -1.9% |
| 1990 | 2,151 million SLC | -6.2% |
| 1991 | 2,295 million SLC | +6.7% |
| 1992 | 2,463 million SLC | +7.3% |
| 1993 | 2,599 million SLC | +5.5% |
| 1994 | 2,776 million SLC | +6.8% |
| 1995 | 2,511 million SLC | -9.5% |
| 1996 | 2,687 million SLC | +7.0% |
| 1997 | 2,741 million SLC | +2.0% |
| 1998 | 2,796 million SLC | +2.0% |
| 1999 | 2,902 million SLC | +3.8% |
| 2000 | 3,027 million SLC | +4.3% |
| 2001 | 3,170 million SLC | +4.7% |
| 2002 | 3,287 million SLC | +3.7% |
| 2003 | 3,456 million SLC | +5.1% |
| 2004 | 3,730 million SLC | +7.9% |
| 2005 | 4,017 million SLC | +7.7% |
| 2006 | 4,367 million SLC | +8.7% |
| 2007 | 5,475 million SLC | +25.4% |
| 2008 | 6,050 million SLC | +10.5% |
| 2009 | 6,292 million SLC | +4.0% |
| 2010 | 5,649 million SLC | -10.2% |
| 2011 | 4,953 million SLC | -12.3% |
| 2012 | 4,525 million SLC | -8.7% |
| 2013 | 4,338 million SLC | -4.1% |
| 2014 | 4,659 million SLC | +7.4% |
| 2015 | 4,563 million SLC | -2.1% |
| 2016 | 4,609 million SLC | +1.0% |
| 2017 | 6,354 million SLC | +37.9% |
| 2018 | 7,336 million SLC | +15.5% |
| 2019 | 8,341 million SLC | +13.7% |
| 2020 | 9,504 million SLC | +13.9% |
| 2021 | 8,312 million SLC | -12.5% |
| 2022 | 9,526 million SLC | +14.6% |
| 2023 | 10,601 million SLC | +11.3% |
| 2024 | 11,474 million SLC | +8.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,311 million SLC | 673.91 million SLC | 3,101 million SLC | 10 |
| 1980s | 2,250 million SLC | 1,849 million SLC | 2,398 million SLC | 10 |
| 1990s | 2,592 million SLC | 2,151 million SLC | 2,902 million SLC | 10 |
| 2000s | 4,287 million SLC | 3,027 million SLC | 6,292 million SLC | 10 |
| 2010s | 5,533 million SLC | 4,338 million SLC | 8,341 million SLC | 10 |
| 2020s | 9,883 million SLC | 8,312 million SLC | 11,474 million SLC | 5 |
Countries ranked near Djibouti
More environment data for Djibouti
- Historical exposure to drought — Land soil moisture anomaly -57.06 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.289 °C (2025)
- Temperature change 1.25 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0003 m3 per person (2024)
- Sawnwood — Export value, annual growth rate -100 % change on previous year (2014)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0004 1000 USD per person (2024)
- Sawnwood, coniferous — Import quantity, annual growth rate 238.36 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Djibouti?
- Value added (agriculture, forestry and fishing) — value standard in Djibouti was 11,474 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 Djibouti?
- The highest recorded value was 11,474 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Djibouti?
- The lowest recorded value was 673.91 million SLC in 1970.
- How does Djibouti rank for value added (agriculture, forestry and fishing) — value standard?
- Djibouti ranks 120th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Djibouti?
- Over the last ten years it is up 146.3%. The long-run trend across the full record is volatile.
- Where does this Djibouti 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).