Value Added (Agriculture, Forestry and Fishing) — Value Standard in Angola
Angola: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 13.33 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Angola, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Angola recorded 13.33 million 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 44.2% on the previous year and up 1,132.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Angola peaked at 13.33 million million SLC in 2024 and was at its lowest, 0 million SLC, in 1970.
Angola ranks 17th of 199 countries on this measure, in the top 10%.
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 Angola, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 0 million SLC | — |
| 1971 | 0 million SLC | +6.7% |
| 1972 | 0 million SLC | +0.0% |
| 1973 | 0 million SLC | +6.3% |
| 1974 | 0 million SLC | +17.6% |
| 1975 | 0 million SLC | -25.0% |
| 1976 | 0 million SLC | +13.3% |
| 1977 | 0 million SLC | +5.9% |
| 1978 | 0 million SLC | +16.7% |
| 1979 | 0 million SLC | +9.5% |
| 1980 | 0 million SLC | +30.4% |
| 1981 | 0 million SLC | -6.7% |
| 1982 | 0 million SLC | +0.0% |
| 1983 | 0 million SLC | +7.1% |
| 1984 | 0 million SLC | +10.0% |
| 1985 | 0 million SLC | +12.1% |
| 1986 | 0 million SLC | -2.7% |
| 1987 | 0 million SLC | +5.6% |
| 1988 | 0.0001 million SLC | +31.6% |
| 1989 | 0.0001 million SLC | +42.0% |
| 1990 | 0.0001 million SLC | +2.8% |
| 1991 | 0.0002 million SLC | +195.9% |
| 1992 | 0.0007 million SLC | +209.7% |
| 1993 | 0.0041 million SLC | +518.8% |
| 1994 | 0.0548 million SLC | +1224.3% |
| 1995 | 1.33 million SLC | +2323.7% |
| 1996 | 78.5 million SLC | +5807.8% |
| 1997 | 211.24 million SLC | +169.1% |
| 1998 | 437.06 million SLC | +106.9% |
| 1999 | 1,444 million SLC | +230.4% |
| 2000 | 6,944 million SLC | +380.8% |
| 2001 | 21,497 million SLC | +209.6% |
| 2002 | 38,856 million SLC | +80.8% |
| 2003 | 82,373 million SLC | +112.0% |
| 2004 | 122,990 million SLC | +49.3% |
| 2005 | 163,064 million SLC | +32.6% |
| 2006 | 218,541 million SLC | +34.0% |
| 2007 | 262,446 million SLC | +20.1% |
| 2008 | 319,236 million SLC | +21.6% |
| 2009 | 369,287 million SLC | +15.7% |
| 2010 | 475,985 million SLC | +28.9% |
| 2011 | 613,852 million SLC | +29.0% |
| 2012 | 742,009 million SLC | +20.9% |
| 2013 | 858,664 million SLC | +15.7% |
| 2014 | 1.08 million million SLC | +25.9% |
| 2015 | 1.27 million million SLC | +17.7% |
| 2016 | 1.63 million million SLC | +27.8% |
| 2017 | 2.03 million million SLC | +24.7% |
| 2018 | 2.21 million million SLC | +8.7% |
| 2019 | 2.39 million million SLC | +8.4% |
| 2020 | 3.15 million million SLC | +31.9% |
| 2021 | 5.12 million million SLC | +62.2% |
| 2022 | 7.17 million million SLC | +40.1% |
| 2023 | 9.24 million million SLC | +28.9% |
| 2024 | 13.33 million million SLC | +44.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0 million SLC | 0 million SLC | 0 million SLC | 10 |
| 1980s | 0 million SLC | 0 million SLC | 0.0001 million SLC | 10 |
| 1990s | 217.23 million SLC | 0.0001 million SLC | 1,444 million SLC | 10 |
| 2000s | 160,523 million SLC | 6,944 million SLC | 369,287 million SLC | 10 |
| 2010s | 1.33 million million SLC | 475,985 million SLC | 2.39 million million SLC | 10 |
| 2020s | 7.60 million million SLC | 3.15 million million SLC | 13.33 million million SLC | 5 |
Countries ranked near Angola
More environment data for Angola
- Historical exposure to drought — Land soil moisture anomaly -2.86 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.076 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.211 °C (2025)
- Temperature change 0.971 °C (2025)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0017 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 8.03 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0006 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Angola?
- Value added (agriculture, forestry and fishing) — value standard in Angola was 13.33 million 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 Angola?
- The highest recorded value was 13.33 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Angola?
- The lowest recorded value was 0 million SLC in 1970.
- How does Angola rank for value added (agriculture, forestry and fishing) — value standard?
- Angola ranks 17th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Angola?
- Over the last ten years it is up 1,132.7%. The long-run trend across the full record is volatile.
- Where does this Angola 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).