Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Pakistan
Pakistan: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 90,262 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Pakistan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Pakistan recorded 90,262 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
That represents a change of up 6.2% on the previous year and up 33.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Pakistan peaked at 90,262 million USD in 2024 and was at its lowest, 13,780 million USD, in 1971.
That places Pakistan 7th out of 200 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Pakistan, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 14,216 million USD | — |
| 1971 | 13,780 million USD | -3.1% |
| 1972 | 14,258 million USD | +3.5% |
| 1973 | 14,496 million USD | +1.7% |
| 1974 | 15,102 million USD | +4.2% |
| 1975 | 14,782 million USD | -2.1% |
| 1976 | 15,443 million USD | +4.5% |
| 1977 | 15,833 million USD | +2.5% |
| 1978 | 16,280 million USD | +2.8% |
| 1979 | 16,784 million USD | +3.1% |
| 1980 | 17,893 million USD | +6.6% |
| 1981 | 18,548 million USD | +3.7% |
| 1982 | 19,424 million USD | +4.7% |
| 1983 | 20,279 million USD | +4.4% |
| 1984 | 19,301 million USD | -4.8% |
| 1985 | 21,409 million USD | +10.9% |
| 1986 | 22,683 million USD | +5.9% |
| 1987 | 23,421 million USD | +3.3% |
| 1988 | 24,061 million USD | +2.7% |
| 1989 | 25,714 million USD | +6.9% |
| 1990 | 26,493 million USD | +3.0% |
| 1991 | 27,808 million USD | +5.0% |
| 1992 | 30,450 million USD | +9.5% |
| 1993 | 28,840 million USD | -5.3% |
| 1994 | 30,348 million USD | +5.2% |
| 1995 | 32,341 million USD | +6.6% |
| 1996 | 36,739 million USD | +13.6% |
| 1997 | 37,900 million USD | +3.2% |
| 1998 | 40,986 million USD | +8.1% |
| 1999 | 42,982 million USD | +4.9% |
| 2000 | 47,492 million USD | +10.5% |
| 2001 | 47,451 million USD | -0.1% |
| 2002 | 48,049 million USD | +1.3% |
| 2003 | 49,762 million USD | +3.6% |
| 2004 | 51,301 million USD | +3.1% |
| 2005 | 54,787 million USD | +6.8% |
| 2006 | 55,821 million USD | +1.9% |
| 2007 | 57,766 million USD | +3.5% |
| 2008 | 58,236 million USD | +0.8% |
| 2009 | 60,224 million USD | +3.4% |
| 2010 | 60,412 million USD | +0.3% |
| 2011 | 62,051 million USD | +2.7% |
| 2012 | 64,056 million USD | +3.2% |
| 2013 | 66,068 million USD | +3.1% |
| 2014 | 67,666 million USD | +2.4% |
| 2015 | 68,872 million USD | +1.8% |
| 2016 | 69,151 million USD | +0.4% |
| 2017 | 70,684 million USD | +2.2% |
| 2018 | 73,424 million USD | +3.9% |
| 2019 | 74,113 million USD | +0.9% |
| 2020 | 77,015 million USD | +3.9% |
| 2021 | 79,723 million USD | +3.5% |
| 2022 | 83,138 million USD | +4.3% |
| 2023 | 85,010 million USD | +2.3% |
| 2024 | 90,262 million USD | +6.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 15,097 million USD | 13,780 million USD | 16,784 million USD | 10 |
| 1980s | 21,273 million USD | 17,893 million USD | 25,714 million USD | 10 |
| 1990s | 33,489 million USD | 26,493 million USD | 42,982 million USD | 10 |
| 2000s | 53,089 million USD | 47,451 million USD | 60,224 million USD | 10 |
| 2010s | 67,650 million USD | 60,412 million USD | 74,113 million USD | 10 |
| 2020s | 83,029 million USD | 77,015 million USD | 90,262 million USD | 5 |
Countries ranked near Pakistan
More environment data for Pakistan
- Historical exposure to drought — Land soil moisture anomaly -10.53 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -7.64 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.373 °C (2025)
- Temperature change 1.58 °C (2025)
- Graphic papers — Import quantity, annual growth rate 3.55 % 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 0.0007 t per person (2024)
- Graphic papers — Import value, annual growth rate 5.82 % change on previous year (2024)
- Graphic papers — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Pakistan?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Pakistan was 90,262 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$, 2015 recorded in Pakistan?
- The highest recorded value was 90,262 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Pakistan?
- The lowest recorded value was 13,780 million USD in 1971.
- How does Pakistan rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Pakistan ranks 7th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Pakistan?
- Over the last ten years it is up 33.4%. The long-run trend across the full record is volatile.
- Where does this Pakistan 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).