The number of people working in the agriculture sector increased in 2023 in comparison to the previous year. From over **** million agricultural workers, this figure increased to **** million in 2023. Most employers in this sector are engaged in agriculture and forestry.

Philippines Employment: Agriculture data was reported at 10,244.000 Person th in Jan 2025. This records an increase from the previous number of 10,187.000 Person th for Oct 2024. Philippines Employment: Agriculture data is updated quarterly, averaging 10,560.000 Person th from Jan 2012 (Median) to Jan 2025, with 53 observations. The data reached an all-time high of 12,467.000 Person th in Apr 2012 and a record low of 8,761.000 Person th in Apr 2020. Philippines Employment: Agriculture data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G026: Labour Force Survey: Employment: by Industry, Occupation and Class: Quarterly.

Preliminary figures reported that the agriculture sector accounted for **** percent of the total employment share in the Philippines in 2023, indicating a slight increase from the previous year. The employment share of agriculture was highest in 2016.

GDP from Agriculture in Philippines decreased to 410864.28 PHP Million in the third quarter of 2025 from 436443.62 PHP Million in the second quarter of 2025. This dataset provides the latest reported value for - Philippines Gdp From Agriculture - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Between 2016 and 2023, there were significantly more males employed in the agricultural industry in the Philippines in comparison to their female counterparts. In particular, there were **** percent male workers compared to about ** percent female workers according to preliminary data for 2023.

Actual value and historical data chart for Philippines Employment In Agriculture Percent Of Total Employment

The agriculture, forestry, and fishing sector industry contributed * percent to the GDP of the Philippines in 2024. The industry's GDP contribution has been declining since 2020.

In 2023, the gross value added (GVA) of the agriculture, forestry, and fishing sector in the Philippines expanded by *** percent in comparison to the previous year. The industry's growth was fueled by the recovery of the poultry and egg production as well as the livestock sector.

Philippines PH: GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data was reported at 9.397 % in 2023. This records a decrease from the previous number of 9.552 % for 2022. Philippines PH: GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data is updated yearly, averaging 19.134 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 27.630 % in 1974 and a record low of 8.820 % in 2019. Philippines PH: GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Gross Domestic Product: Share of GDP. Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;Note: Data for OECD countries are based on ISIC, revision 4.

Actual value and historical data chart for Philippines Agriculture Value Added Percent Of GDP

Agriculture value added per worker of Philippines increased by 1.16% from 3,235 US dollars in 2022 to 3,272 US dollars in 2023. Since the 2.52% fall in 2021, agriculture value added per worker fell by 2.99% in 2023. Agriculture value added per worker is a measure of agricultural productivity. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from forestry, hunting, and fishing as well as cultivation of crops and livestock production. Data are in constant 2005 U.S. dollars.

Abstract

The 2002 Census of Agriculture (CA 2002) is a large-scale government operation geared towards the collection and compilation of statistics in the agriculture sector of the country. The collected data will constitute the bases from which policymakers and planners will formulate plans for the country's development.

The following were the objectives of CA 2002:

1. To determine the structure and characteristics of agricultural holdings;
2. To determine the number and distribution of households and enterprises engaged in agriculture and to gather information on the operation of these households and enterprises;
3. To provide the basis for sampling frame for other statistical undertakings; and
4. To provide basic data for use in national as well as sub-national development planning.

Specifically, it aims to: 1. Obtain comprehensive data on farm characterisitcs such as size, location, tenure status, irrigation system, crops planted, livestock/poultry raised, etc.; 2. Determine the type and number of equipment, machineries and facilities used in the operation of agricultural activities whether owned or rented; and 3. Provide benchmarks for the various statistical series which are designed to measure progress in agriculture.

Major findings include the following: 1. Central Visayas accounted for the highest number of farms but Bicol Region had the biggest farm area. 2. Almost all farms in the country were operated individually. 3. Most farms were owned by the agricultural operators. 4. More than half of the farms in the country were under temporary crops. 5. Palay remained as the major temporary crop in the country. 6. Coconut also remained as the dominant permanent crop. 7. Individual system irrigation was the most common in the country. 8. Number of hogs reared and tended increased by 1.1 milliion heads. 9. Raising of chicken was the prevalent poultry raising activity. 10. Ornamental and flower gardening (excluding orchid) was also common in the country. 11. Male operators dominated the agriculture sector. 12. Almost 80 percent of the household members engaged in agricultural activity were working in own agricultural holding. 13. Plow was the most common farm equipment in the country.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

The census covered all households, agricultural operators, and agricultural establishments.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The CA 2002 adopted a one-stage stratified systematic sampling design where selection of sample barangays was done by city/muncipality (by district for the National Capital Region or NCR) and by stratum. However, for the provinces of Laguna, Isabela, Bukidnon, and Batanes, a full sample-census was adopted.

Except for the cities/municipalities of the full-sample barangays, all cities/municipalities (6 districts for NCR) were treated as domains and the barangays as the ultimate sampling units. The six districts of NCR are as follows: NCR I - Manila; NCR II - Quezon City; NCR III - San Juan, Cities of Mandaluyong, Marikina and Pasig; NCR IV - Malabon, Navotas, Cities of Kalookan and Valenzuela; NCR V - Pateros, Taguig and Makati City; and NCR VI - Cities of Pasay, Las Piñas, Muntinlupa, Parañaque

The sampling frame was based on the list of barangays taken from the results of the 2000 Census of Population and Housing (Census 2000) as of June 2002.

In each domain, all barangays were grouped into three strata, as follows: Stratum 1 - Barangays with the largest Total Farm Area (TFA) in the municipality based on the 1991 Census of Agriculture and fisheries (CAF) Stratum 2 - All other sample barangays of the 1991 CAF Stratum 3 - All other barangays in the sampling frame

The 1991 sample barangays in each domain were ranked by descending values of TFA. The barangays with the largest TFA in 1991, referred to as the certainty barangays, were included in Stratum 1. In cases where the certainty barangay was split into two or more barangays as a result of the creation of a new barangay (as of June 2002 master list of barangays), the new barangay was also treated as a certainty barangay. Sample barangays of the 1991 CAF not included in Stratum 1 were assigned in Stratum 2. Barangays with no TFA because they were not samples during the 1991 CAF were arranged in ascending order of the total number of households based on Census 2000. These barangays were assigned in Stratum 3.

All barangays in Stratum 1 were automatically taken as samples. Sample barangays in Strata 2 and 3 were systematically selected using a 25-percent sampling rate, except for NCR. The sampling rates for NCR were 50 percent and 10 percent for Stratum 2 and Stratum 3, respectively. In each sampled barangay, all households were covered.

All agricultural establishments identified in the 2002 List of Establishments, whether or not located in the sample barangays of CA 2002, and new agricultural establishments in the sample barangays during the enumeration of CA 2002, were enumerated.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

The accomplished census forms undergone several stages of data editing. These stages include the following:

1. Field editing which consisted of checking of consistency, correctness and completness of entries while in the field.
2. Manual Processing of accomplished questionnaires at the Provincial Offices where the following were done: a. Verification of geographic identification and completeness of forms b. Checking for legibility of entries c. Coding
3. Machine Processing which includes machine validation, consistency checking and completeness checking of entries.

Sampling error estimates

In order to provide a basis for assessing the reliability or precision of CA estimates, the estimation of the magnitude of sampling error in the census data was undertaken by the NSO for the 2002 CA. The standard error (SE) and coefficient of variation (C.V.) were used as measures of sampling error.

Notwithstanding its high growth and poverty reduction potential, Philippine agriculture continues to under-perform. A weak policy environment and public expenditure support do not encourage growth and competitiveness in the sector. Farm incomes have kept lagging non-farm incomes mainly because of the low agricultural productivity and the slow out-migration from the sector. Philippine agriculture has the potential for higher growth through crop diversification, but traditional low-value commodities continue to dominate production (and land use). At the same time, dynamic high-value products with high export potential and income growth, such as tropical fruits, are not provided with sufficient level of government support to generate significant benefits for the sector and beyond. The choice of producing the traditional (mainly import-competing) agricultural products is determined by their continued support through high import tariffs, non-tariff barriers, and budget expenditures.

The Philippines agricultural machinery market was valued at USD 693.90 Million in 2024. The industry is expected to grow at a CAGR of 7.90% during the forecast period of 2025-2034, to attain a valuation of USD 1484.26 Million by 2034.

The Philippines agricultural machinery market plays a vital role in the country's efforts to modernise its agricultural sector, which remains a significant contributor to employment and rural development. As the country seeks to boost productivity and reduce reliance on manual labor, demand for modern machinery such as tractors, harvesters, and irrigation systems is steadily increasing. Government initiatives like the Philippine Mechanization Program, along with support from agencies such as the Department of Agriculture (DA), have spurred mechanisation adoption, particularly among smallholder farmers. In February 2024, the Board of Investments (BOI) in Philippines declared a surge in agricultural investments ranging from PHP 1 billion to PHP 15 billion after the issuance of Fiscal Incentives Review Board (FIRB). These investments are aimed towards adopting new technologies and strengthening food security.

The Philippines agricultural machinery market expansion is further bolstered with the growing dominance of technology for transforming the agricultural space in the country. Advanced solutions, including automated machinery, precision farming, and vertical farming systems are revolutionising the farming practices. Agricultural mechanisation through machinery for tasks, such as ploughing, irrigation, and harvesting not only boosts production, but also reduces labour. The growing support to implement agri tech solutions to respond to various issues in the agriculture domain will also drive the industry growth. In April 2025, Grow Asia launched the 2025 Grow Asia Innovation Challenge in the Philippines to advance the adoption of more climate-resilient agri tech agricultural solutions across Southeast Asia.

The recent positive policy directions embodied in the New Thinking and One DA agenda have not yet fully translated into a shift in public expenditure patterns in the Philippine agriculture sector. One result is that agricultural growth remains low, and poverty in rural areas, where farming remains the main source of income, has stayed high. Underinvestment in public goods in agriculture, vital for inclusive growth, also drives the lack of growth. The continued bias supporting rice production has come at the expense of other agricultural products. The situation could worsen with the ongoing devolution resulting from the Mandanas Ruling of the Supreme Court unless the shift in the agriculture budget from central government to local government units (LGUs) accompanies clear changes in expenditure policies. To take full advantage of the opportunities arising from the new strategic directions and to devolve more responsibilities to LGUs, agricultural public expenditure policies must deal with challenges in three dimensions. First is the challenge of aligning expenditures with the ambition of the New Thinking. The second challenge is improving the currently low effectiveness of public spending, which is one factor behind the relatively low agricultural share in the government’s overall budget. The third challenge is successfully implementing the financial and functional devolution resulting from the Mandanas Ruling. This Philippines Agriculture Sector Public Expenditure Review (AgPER) aims to (a) help the government evaluate the direction of spending policies under the New Thinking strategy and (b) consider the best way forward in devolving agricultural services to LGUs as a result of the Supreme Court’s Mandanas Ruling.

Within the agriculture, forestry, and fishing industry in the Philippines, forestry and logging recorded the highest gross value added (GVA) growth rate between 2023 and 2024 at nearly ** percent. In contrast, sugarcane production registered the highest contraction in that period.

Philippines PH: GDP: Growth: Gross Value Added: Agriculture, Forestry, and Fishing data was reported at 1.187 % in 2023. This records an increase from the previous number of 0.480 % for 2022. Philippines PH: GDP: Growth: Gross Value Added: Agriculture, Forestry, and Fishing data is updated yearly, averaging 2.983 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 10.287 % in 1976 and a record low of -6.972 % in 1998. Philippines PH: GDP: Growth: Gross Value Added: Agriculture, Forestry, and Fishing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural, forestry, and fishing value added based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Agriculture corresponds to ISIC divisions 01-03 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;Note: Data for OECD countries are based on ISIC, revision 4.

Philippines Employment: Agriculture: Agriculture & Forestry data was reported at 8,416.000 Person th in Feb 2025. This records a decrease from the previous number of 8,936.000 Person th for Jan 2025. Philippines Employment: Agriculture: Agriculture & Forestry data is updated monthly, averaging 9,391.000 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 11,007.000 Person th in Dec 2023 and a record low of 8,053.000 Person th in Jan 2024. Philippines Employment: Agriculture: Agriculture & Forestry data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G025: Labour Force Survey: Employment: by Industry, Occupation and Class.

Discover the booming ASEAN agricultural logistics market! This in-depth analysis reveals a market valued at $25 Billion (2025), projected to exceed $45 Billion by 2033, fueled by rising demand and technological advancements. Learn about key players, regional trends, and growth opportunities. Recent developments include: October 2022: The collaboration between Celcom and DHL was made public in order to create a robust and sustainable supply chain in Malaysia by co-creating and digitalizing logistics with cutting-edge technologies. The cooperation intends to jointly develop a digital ecosystem that will allow both firms to pool their knowledge and experience in order to deliver connectivity services and technological solutions that will boost logistical competitiveness., September 2022: Cargill is establishing its first digital business studio in Asia in collaboration with the Singapore Economic Development Board (EDB). The studio's mission is to drive innovation for the Asian-Pacific food and agriculture sector by providing local inventors with investments that commercialize Cargill solutions.. Notable trends are: Growing Cold Storage and Refrigerated Warehouses Market for Agriculture Sector.

Philippines ADBP: Agricultural: Agriculture, Hunting & Forestry data was reported at 221.390 PHP in Jan 2018. This records an increase from the previous number of 219.710 PHP for Oct 2017. Philippines ADBP: Agricultural: Agriculture, Hunting & Forestry data is updated quarterly, averaging 190.510 PHP from Jan 2012 (Median) to Jan 2018, with 25 observations. The data reached an all-time high of 229.110 PHP in Jul 2017 and a record low of 156.490 PHP in Jan 2012. Philippines ADBP: Agricultural: Agriculture, Hunting & Forestry data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G022: Average Daily Basic Pay: by Industry, Occupation and Class.