Value Added (Agriculture, Forestry and Fishing) — Value Standard in Angola
Angola: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.75 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
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Angola is 1.75 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
The figure is up 6.7% on the previous year and up 51.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Angola peaked at 1.75 million million SLC in 2024 and was at its lowest, 193,978 million SLC, in 1993.
That places Angola 34th out of 191 countries with data for 2024, putting it in the top quarter.
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 | 460,657 million SLC | — |
| 1971 | 488,297 million SLC | +6.0% |
| 1972 | 489,029 million SLC | +0.1% |
| 1973 | 528,526 million SLC | +8.1% |
| 1974 | 545,757 million SLC | +3.3% |
| 1975 | 518,227 million SLC | -5.0% |
| 1976 | 491,103 million SLC | -5.2% |
| 1977 | 493,542 million SLC | +0.5% |
| 1978 | 467,948 million SLC | -5.2% |
| 1979 | 474,241 million SLC | +1.3% |
| 1980 | 480,535 million SLC | +1.3% |
| 1981 | 459,474 million SLC | -4.4% |
| 1982 | 451,987 million SLC | -1.6% |
| 1983 | 481,651 million SLC | +6.6% |
| 1984 | 539,210 million SLC | +12.0% |
| 1985 | 497,367 million SLC | -7.8% |
| 1986 | 490,170 million SLC | -1.4% |
| 1987 | 504,779 million SLC | +3.0% |
| 1988 | 490,632 million SLC | -2.8% |
| 1989 | 509,151 million SLC | +3.8% |
| 1990 | 507,480 million SLC | -0.3% |
| 1991 | 498,976 million SLC | -1.7% |
| 1992 | 363,255 million SLC | -27.2% |
| 1993 | 193,978 million SLC | -46.6% |
| 1994 | 213,182 million SLC | +9.9% |
| 1995 | 259,869 million SLC | +21.9% |
| 1996 | 298,069 million SLC | +14.7% |
| 1997 | 328,472 million SLC | +10.2% |
| 1998 | 345,553 million SLC | +5.2% |
| 1999 | 350,045 million SLC | +1.3% |
| 2000 | 382,599 million SLC | +9.3% |
| 2001 | 413,877 million SLC | +8.2% |
| 2002 | 447,326 million SLC | +8.1% |
| 2003 | 474,760 million SLC | +6.1% |
| 2004 | 519,606 million SLC | +9.4% |
| 2005 | 555,236 million SLC | +6.9% |
| 2006 | 666,822 million SLC | +20.1% |
| 2007 | 714,857 million SLC | +7.2% |
| 2008 | 749,915 million SLC | +4.9% |
| 2009 | 774,228 million SLC | +3.2% |
| 2010 | 841,188 million SLC | +8.6% |
| 2011 | 907,712 million SLC | +7.9% |
| 2012 | 971,909 million SLC | +7.1% |
| 2013 | 997,092 million SLC | +2.6% |
| 2014 | 1.16 million million SLC | +15.9% |
| 2015 | 1.27 million million SLC | +10.1% |
| 2016 | 1.32 million million SLC | +3.8% |
| 2017 | 1.33 million million SLC | +0.5% |
| 2018 | 1.31 million million SLC | -1.6% |
| 2019 | 1.29 million million SLC | -1.4% |
| 2020 | 1.31 million million SLC | +2.0% |
| 2021 | 1.53 million million SLC | +16.7% |
| 2022 | 1.59 million million SLC | +3.9% |
| 2023 | 1.64 million million SLC | +2.7% |
| 2024 | 1.75 million million SLC | +6.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 495,733 million SLC | 460,657 million SLC | 545,757 million SLC | 10 |
| 1980s | 490,496 million SLC | 451,987 million SLC | 539,210 million SLC | 10 |
| 1990s | 335,888 million SLC | 193,978 million SLC | 507,480 million SLC | 10 |
| 2000s | 569,923 million SLC | 382,599 million SLC | 774,228 million SLC | 10 |
| 2010s | 1.14 million million SLC | 841,188 million SLC | 1.33 million million SLC | 10 |
| 2020s | 1.57 million million SLC | 1.31 million million SLC | 1.75 million million SLC | 5 |
Countries ranked near Angola
- 31 Rwanda 2.09 million million SLC compare
- 32 Burundi 2.00 million million SLC compare
- 33 Burkina Faso 1.95 million million SLC compare
- 35 Kenya 1.67 million million SLC compare
- 36 Costa Rica 1.67 million million SLC compare
- 37 Philippines 1.61 million million SLC compare
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)
- Sawnwood, non-coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.0016 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -100 % change on previous year (2023)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (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 1.75 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 1.75 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 193,978 million SLC in 1993.
- How does Angola rank for value added (agriculture, forestry and fishing) — value standard?
- Angola ranks 34th out of 191 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 51.2%. 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, 2015 prices. 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).