Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Angola
Angola: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 14,556 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Angola, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Angola stood at 14,556 million USD. That is the highest value across all 55 years on record.
That represents a change of 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 us$, 2015 in Angola peaked at 14,556 million USD in 2024 and was at its lowest, 1,616 million USD, in 1993.
Angola ranks 38th of 200 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Angola, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 3,837 million USD | — |
| 1971 | 4,067 million USD | +6.0% |
| 1972 | 4,073 million USD | +0.1% |
| 1973 | 4,402 million USD | +8.1% |
| 1974 | 4,546 million USD | +3.3% |
| 1975 | 4,316 million USD | -5.0% |
| 1976 | 4,090 million USD | -5.2% |
| 1977 | 4,111 million USD | +0.5% |
| 1978 | 3,898 million USD | -5.2% |
| 1979 | 3,950 million USD | +1.3% |
| 1980 | 4,002 million USD | +1.3% |
| 1981 | 3,827 million USD | -4.4% |
| 1982 | 3,765 million USD | -1.6% |
| 1983 | 4,012 million USD | +6.6% |
| 1984 | 4,491 million USD | +12.0% |
| 1985 | 4,143 million USD | -7.8% |
| 1986 | 4,083 million USD | -1.4% |
| 1987 | 4,204 million USD | +3.0% |
| 1988 | 4,087 million USD | -2.8% |
| 1989 | 4,241 million USD | +3.8% |
| 1990 | 4,227 million USD | -0.3% |
| 1991 | 4,156 million USD | -1.7% |
| 1992 | 3,026 million USD | -27.2% |
| 1993 | 1,616 million USD | -46.6% |
| 1994 | 1,776 million USD | +9.9% |
| 1995 | 2,164 million USD | +21.9% |
| 1996 | 2,483 million USD | +14.7% |
| 1997 | 2,736 million USD | +10.2% |
| 1998 | 2,878 million USD | +5.2% |
| 1999 | 2,916 million USD | +1.3% |
| 2000 | 3,187 million USD | +9.3% |
| 2001 | 3,447 million USD | +8.2% |
| 2002 | 3,726 million USD | +8.1% |
| 2003 | 3,954 million USD | +6.1% |
| 2004 | 4,328 million USD | +9.4% |
| 2005 | 4,625 million USD | +6.9% |
| 2006 | 5,554 million USD | +20.1% |
| 2007 | 5,954 million USD | +7.2% |
| 2008 | 6,246 million USD | +4.9% |
| 2009 | 6,449 million USD | +3.2% |
| 2010 | 7,006 million USD | +8.6% |
| 2011 | 7,560 million USD | +7.9% |
| 2012 | 8,095 million USD | +7.1% |
| 2013 | 8,305 million USD | +2.6% |
| 2014 | 9,627 million USD | +15.9% |
| 2015 | 10,600 million USD | +10.1% |
| 2016 | 11,004 million USD | +3.8% |
| 2017 | 11,057 million USD | +0.5% |
| 2018 | 10,885 million USD | -1.6% |
| 2019 | 10,736 million USD | -1.4% |
| 2020 | 10,948 million USD | +2.0% |
| 2021 | 12,778 million USD | +16.7% |
| 2022 | 13,281 million USD | +3.9% |
| 2023 | 13,645 million USD | +2.7% |
| 2024 | 14,556 million USD | +6.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,129 million USD | 3,837 million USD | 4,546 million USD | 10 |
| 1980s | 4,085 million USD | 3,765 million USD | 4,491 million USD | 10 |
| 1990s | 2,798 million USD | 1,616 million USD | 4,227 million USD | 10 |
| 2000s | 4,747 million USD | 3,187 million USD | 6,449 million USD | 10 |
| 2010s | 9,487 million USD | 7,006 million USD | 11,057 million USD | 10 |
| 2020s | 13,042 million USD | 10,948 million USD | 14,556 million USD | 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)
- Other paper and paperboard — Import quantity, annual growth rate -42.23 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0007 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate -19.44 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0011 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import 23.25 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Angola?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Angola was 14,556 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Angola?
- The highest recorded value was 14,556 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Angola?
- The lowest recorded value was 1,616 million USD in 1993.
- How does Angola rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Angola ranks 38th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 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 US$, 2015 prices. Statizoid updates them automatically from the source API.
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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).