Value Added (Agriculture, Forestry and Fishing) — Value Standard in Pakistan
Pakistan: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 24.93 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Pakistan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Pakistan recorded 24.93 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.
That represents a change of up 26.9% on the previous year and up 279.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Pakistan peaked at 24.93 million million SLC in 2024 and was at its lowest, 23,039 million SLC, in 1970.
Pakistan ranks 15th 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 Pakistan, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 23,039 million SLC | — |
| 1971 | 23,432 million SLC | +1.7% |
| 1972 | 25,882 million SLC | +10.5% |
| 1973 | 31,616 million SLC | +22.2% |
| 1974 | 40,530 million SLC | +28.2% |
| 1975 | 48,394 million SLC | +19.4% |
| 1976 | 55,329 million SLC | +14.3% |
| 1977 | 63,454 million SLC | +14.7% |
| 1978 | 72,978 million SLC | +15.0% |
| 1979 | 78,144 million SLC | +7.1% |
| 1980 | 89,714 million SLC | +14.8% |
| 1981 | 110,258 million SLC | +22.9% |
| 1982 | 133,085 million SLC | +20.7% |
| 1983 | 143,424 million SLC | +7.8% |
| 1984 | 150,885 million SLC | +5.2% |
| 1985 | 175,048 million SLC | +16.0% |
| 1986 | 185,884 million SLC | +6.2% |
| 1987 | 195,275 million SLC | +5.1% |
| 1988 | 225,678 million SLC | +15.6% |
| 1989 | 265,653 million SLC | +17.7% |
| 1990 | 284,944 million SLC | +7.3% |
| 1991 | 336,450 million SLC | +18.1% |
| 1992 | 407,518 million SLC | +21.1% |
| 1993 | 429,801 million SLC | +5.5% |
| 1994 | 516,551 million SLC | +20.2% |
| 1995 | 630,721 million SLC | +22.1% |
| 1996 | 721,654 million SLC | +14.4% |
| 1997 | 898,917 million SLC | +24.6% |
| 1998 | 1.06 million million SLC | +17.9% |
| 1999 | 1.19 million million SLC | +12.3% |
| 2000 | 1.31 million million SLC | +9.8% |
| 2001 | 1.37 million million SLC | +4.5% |
| 2002 | 1.37 million million SLC | +0.2% |
| 2003 | 1.46 million million SLC | +6.5% |
| 2004 | 1.67 million million SLC | +14.9% |
| 2005 | 1.86 million million SLC | +11.0% |
| 2006 | 1.98 million million SLC | +6.4% |
| 2007 | 2.23 million million SLC | +12.5% |
| 2008 | 2.57 million million SLC | +15.6% |
| 2009 | 3.20 million million SLC | +24.5% |
| 2010 | 3.75 million million SLC | +16.9% |
| 2011 | 4.70 million million SLC | +25.5% |
| 2012 | 5.23 million million SLC | +11.2% |
| 2013 | 5.94 million million SLC | +13.6% |
| 2014 | 6.57 million million SLC | +10.6% |
| 2015 | 7.08 million million SLC | +7.8% |
| 2016 | 7.31 million million SLC | +3.2% |
| 2017 | 7.81 million million SLC | +6.9% |
| 2018 | 8.49 million million SLC | +8.7% |
| 2019 | 9.06 million million SLC | +6.7% |
| 2020 | 10.39 million million SLC | +14.7% |
| 2021 | 12.65 million million SLC | +21.8% |
| 2022 | 14.89 million million SLC | +17.7% |
| 2023 | 19.65 million million SLC | +31.9% |
| 2024 | 24.93 million million SLC | +26.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 46,280 million SLC | 23,039 million SLC | 78,144 million SLC | 10 |
| 1980s | 167,490 million SLC | 89,714 million SLC | 265,653 million SLC | 10 |
| 1990s | 647,655 million SLC | 284,944 million SLC | 1.19 million million SLC | 10 |
| 2000s | 1.90 million million SLC | 1.31 million million SLC | 3.20 million million SLC | 10 |
| 2010s | 6.59 million million SLC | 3.75 million million SLC | 9.06 million million SLC | 10 |
| 2020s | 16.50 million million SLC | 10.39 million million SLC | 24.93 million million SLC | 5 |
Countries ranked near Pakistan
- 12 Argentina 34.65 million million SLC compare
- 12 Timor-Leste 370.23 million SLC compare
- 13 Cambodia 31.19 million million SLC compare
- 14 Myanmar 28.29 million million SLC compare
- 16 Madagascar 17.70 million million SLC compare
- 17 Angola 13.33 million million SLC compare
- 18 Chile 12.30 million million SLC compare
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)
- Plywood and LVL — Import quantity, annual growth rate 210.56 % change on previous year (2024)
- Plywood and LVL — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Plywood and LVL — Import quantity, per capita 0.0001 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate 36.7 % change on previous year (2024)
- Plywood and LVL — 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 standard in Pakistan?
- Value added (agriculture, forestry and fishing) — value standard in Pakistan was 24.93 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 Pakistan?
- The highest recorded value was 24.93 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Pakistan?
- The lowest recorded value was 23,039 million SLC in 1970.
- How does Pakistan rank for value added (agriculture, forestry and fishing) — value standard?
- Pakistan ranks 15th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Pakistan?
- Over the last ten years it is up 279.6%. 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 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).