Value Added (Agriculture, Forestry and Fishing) — Value Standard in Philippines
Philippines: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.61 million million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Philippines, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Philippines recorded 1.61 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
Compared with earlier readings it is down 1.5% on the previous year and up 6.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Philippines peaked at 1.64 million million SLC in 2023 and was at its lowest, 494,485 million SLC, in 1970.
Philippines ranks 37th of 191 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Philippines, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 494,485 million SLC | — |
| 1971 | 513,975 million SLC | +3.9% |
| 1972 | 541,973 million SLC | +5.4% |
| 1973 | 582,416 million SLC | +7.5% |
| 1974 | 559,976 million SLC | -3.9% |
| 1975 | 567,536 million SLC | +1.4% |
| 1976 | 625,919 million SLC | +10.3% |
| 1977 | 653,017 million SLC | +4.3% |
| 1978 | 676,362 million SLC | +3.6% |
| 1979 | 696,536 million SLC | +3.0% |
| 1980 | 723,731 million SLC | +3.9% |
| 1981 | 750,584 million SLC | +3.7% |
| 1982 | 753,684 million SLC | +0.4% |
| 1983 | 724,064 million SLC | -3.9% |
| 1984 | 720,541 million SLC | -0.5% |
| 1985 | 707,969 million SLC | -1.7% |
| 1986 | 733,835 million SLC | +3.7% |
| 1987 | 756,421 million SLC | +3.1% |
| 1988 | 778,741 million SLC | +3.0% |
| 1989 | 799,958 million SLC | +2.7% |
| 1990 | 801,501 million SLC | +0.2% |
| 1991 | 813,282 million SLC | +1.5% |
| 1992 | 816,143 million SLC | +0.4% |
| 1993 | 833,342 million SLC | +2.1% |
| 1994 | 853,973 million SLC | +2.5% |
| 1995 | 858,796 million SLC | +0.6% |
| 1996 | 890,149 million SLC | +3.7% |
| 1997 | 916,331 million SLC | +2.9% |
| 1998 | 852,445 million SLC | -7.0% |
| 1999 | 934,705 million SLC | +9.6% |
| 2000 | 966,339 million SLC | +3.4% |
| 2001 | 1.00 million million SLC | +3.9% |
| 2002 | 1.04 million million SLC | +3.6% |
| 2003 | 1.09 million million SLC | +4.6% |
| 2004 | 1.14 million million SLC | +5.0% |
| 2005 | 1.18 million million SLC | +3.5% |
| 2006 | 1.24 million million SLC | +4.6% |
| 2007 | 1.30 million million SLC | +5.4% |
| 2008 | 1.35 million million SLC | +3.4% |
| 2009 | 1.34 million million SLC | -0.1% |
| 2010 | 1.36 million million SLC | +1.3% |
| 2011 | 1.41 million million SLC | +3.4% |
| 2012 | 1.45 million million SLC | +3.1% |
| 2013 | 1.49 million million SLC | +2.9% |
| 2014 | 1.52 million million SLC | +1.9% |
| 2015 | 1.53 million million SLC | +0.7% |
| 2016 | 1.52 million million SLC | -1.0% |
| 2017 | 1.58 million million SLC | +4.2% |
| 2018 | 1.60 million million SLC | +1.1% |
| 2019 | 1.62 million million SLC | +1.2% |
| 2020 | 1.62 million million SLC | -0.2% |
| 2021 | 1.61 million million SLC | -0.3% |
| 2022 | 1.62 million million SLC | +0.5% |
| 2023 | 1.64 million million SLC | +1.2% |
| 2024 | 1.61 million million SLC | -1.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 591,220 million SLC | 494,485 million SLC | 696,536 million SLC | 10 |
| 1980s | 744,953 million SLC | 707,969 million SLC | 799,958 million SLC | 10 |
| 1990s | 857,067 million SLC | 801,501 million SLC | 934,705 million SLC | 10 |
| 2000s | 1.16 million million SLC | 966,339 million SLC | 1.35 million million SLC | 10 |
| 2010s | 1.51 million million SLC | 1.36 million million SLC | 1.62 million million SLC | 10 |
| 2020s | 1.62 million million SLC | 1.61 million million SLC | 1.64 million million SLC | 5 |
Countries ranked near Philippines
More environment data for Philippines
- Historical exposure to drought — Land soil moisture anomaly 6.85 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 7.07 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.177 °C (2025)
- Temperature change 0.905 °C (2025)
- Plywood and LVL — Import quantity, annual growth rate 11.02 % 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 0.0076 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate -42.83 % 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 Philippines?
- Value added (agriculture, forestry and fishing) — value standard in Philippines was 1.61 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 Philippines?
- The highest recorded value was 1.64 million million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Philippines?
- The lowest recorded value was 494,485 million SLC in 1970.
- How does Philippines rank for value added (agriculture, forestry and fishing) — value standard?
- Philippines ranks 37th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Philippines?
- Over the last ten years it is up 6.1%. The long-run trend across the full record is rising.
- Where does this Philippines 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
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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).