Philippine Statistics Authority

Aquaculture refers to production in enclosures whether ponds, pens, cages or on substrates such as stakes, ropes, lines, nets, shells, or on a demarcated natural bed using seedstock, which may be naturally occurring, or artificially produced in hatcheries.   Aquafarm is a body of water, usually a tract of shallow water along the shore of a bay or inlet, used for aquaculture.

Aquaculture refers to production in enclosures whether ponds, pens, cages or on substrates such as stakes, ropes, lines, nets, shells, or on a demarcated natural bed using seedstock, which may be naturally occurring, or artificially produced in hatcheries.

Aquaculture refers to production in enclosures whether ponds, pens, cages or on substrates such as stakes, ropes, lines, nets, shells, or on a demarcated natural bed using seedstock, which may be naturally occurring, or artificially produced in hatcheries. Aquafarm is a body of water, usually a tract of shallow water along the shore of a bay or inlet, used for aquaculture.

Aquaculture refers to production in enclosures whether ponds, pens, cages or on substrates such as stakes, ropes, lines, nets, shells, or on a demarcated natural bed using seedstock, which may be naturally occurring, or artificially produced in hatcheries.

Carabao: Inventory by Farm Type and Age Classification, Philippines

Cattle: Inventory by Farm Type and Age Classification, Philippines

.. Data not availableCDSPDP also known as Survey of Slaughterhouses and Poultry Dressing Plants (SSHPDP) formerly known as Survey of Abattoir and Dressing Plants (SADP)R - Revised for 4th Qtr 2018 P - Preliminary for 1st Qtr 2019

.. Data not available April 01, 2019 - Preliminary

This data set consists data of supply utilization account. A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This data set contains data of average costs and returns of commercial crops in Philippines.  

Commercial fisheries refer to fishing done in offshore waters using fishing vessels of more than three gross tons. Philippine fisheries production has always been categorized into 3 modes of production for statistical and administrative purposes: commercial fisheries, municipal fisheries and aquaculture.

Philippine fisheries production has always been categorized into three modes of production for statistical and administrative purposes: commercial fisheries, municipal fisheries and aquaculture. Commercial fisheries refer to fishing done in offshore waters using fishing vessels of more than three gross tons.

Data shows use of chemical fertilizer/ inorganic fertilizer for production of corn. 

Duck: Inventory by Farm Type and Age Classification, Philippines

.. Data not available January 1, 2019 - Preliminary data

Philippine fisheries production has always been categorized into three modes of production for statistical and administrative purposes: commercial fisheries, municipal fisheries and aquaculture. Among the leading species are tuna and tuna-like varieties, roundscad, sardines, anchovy, and slipmouth.

This data set describes production value of fisheries in Philippines , region wise. Data set is available on quarterly and yearly basis. Philippine fisheries production has always been categorized into three modes of production for statistical and administrative purposes: commercial fisheries, municipal fisheries and aquaculture. 

Philippines boasts of an abundance in fish species, having vast stretches of coastlines. Among the leading species are tuna and tuna-like varieties, roundscad, sardines, anchovy, and slipmouth.

This data set describes production of fisheries in Philippines , region wise. Data set is available on quarterly and yearly basis. Moreover it offers data on sub sector wise , data represents marine  industry of  Philippines. 

Fisheries is a very important industry in the Philippines. The country’s archipelagic nature is only one of the reasons for its importance. The other reason is the Filipinos’ great liking for fish. No meal is complete without fish. As a result the Philippines has one of the highest per capita fish consumption in the world at 36 kg per year of fish and fishery products (BFAR, 1997). Philippine fisheries production has always been categorized into three modes of production for statistical and administrative purposes: commercial fisheries, municipal fisheries and aquaculture.

This data set contains data of supply utilization accounts. A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This data set contains data of average production cost and return of fruits in Philippines.

Goat: Inventory by Farm Type and Age Classification, as of January 1, 2013-2019

This data set contains data of IDR ( Import dependency ratio) of agricultural commodities in Philippines. This indicator provides a measure of the dependence of a country or region from  imports. The greater the indicator, the higher the dependence.

Municipal fisheries refer to fishing done in inland and coastal areas with or without the use of a fishing boat of up to three gross tons.

Municipal fisheries refer to fishing done in inland and coastal areas with or without the use of a fishing boat of up to three gross tons.

Layer Chicken: Inventory by Age Classification, Philippines

This data set contains average production cost of legumes : Mango and peanut in Philippines.

Data descries livestock market of Philippines . Carabao , a domestic swamp type water buffalo is also part of Philippines livestock. 

This data set shows animal husbandry records of Philippines,the number of animals have been slaughtered in slaughter house.

.. Data not available April 01, 2019 - Preliminary

This data set consists data of supply utilization account . A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

.. Data not availableRevised for 2016-2018Geolocation....Davao del SurData includes Davao Occidental.

.. Data not available Quarter 1 of 2019 - Preliminary Data

Municipal fisheries refer to fishing done in inland and coastal areas with or without the use of a fishing boat of up to three gross tons. Philippines boasts of an abundance in fish species. as it has  vast stretches of coastlines.

Philippine fisheries production has always been categorized into three modes of production for statistical and administrative purposes: commercial fisheries, municipal fisheries and aquaculture.  Municipal fisheries refer to fishing done in inland and coastal areas with or without the use of a fishing boat of up to three gross tons.  Having vast stretches of coastlines, the Philippines boasts of an abundance in fish species. Among the leading species are tuna and tuna-like varieties, roundscad, sardines, anchovy, and slipmouth.

  This data set contains data of average production costs and returns of fishery products in Philippines.    Having vast stretches of coastlines, the Philippines boasts of an abundance in fish species. Among the leading species are tuna and tuna-like varieties, roundscad, sardines, anchovy, and slipmouth.

This data set consists data of supply utilization account. A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This data set consists data of supply utilization account. A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This dataset contains data of average production costs and returns of nuts in Philippines.

.. Data not available2012-2013: Revised due to inclusion of Batanes data 2015: Revised data of Cassava

Data shows area under cultivation for corn and palay in Philippines.

.. Data not availableApayao included in Kalinga prior to 1994Guimaras included in Iloilo prior to 1994 Biliran included in Leyte prior to 1994 Zamboanga Sibugay included in Zamboanga del Sur prior to 2002 Compostela Valley included in Davao del Norte prior to 2002 Sarangani included in South Cotabato prior to 1994 Dinagat Islands included in Surigao Norte up to 3rd Quarter of 2009 Revised data for Apr-Jun 2013 data Revised data for 2012-2013 due to inclusion of Batanes data Note: Batanes data is available starting 2012; Negros Occidental and Negros Oriental are included in Negros Island Region (NIR) starting 2016.

This data set contains average production cost of palay and corn in Philippines. Palay is rice at any stage prior to husking —used especially in the Philippines. The country's major agricultural crops are rice, corn, coconut, sugarcane, banana, cassava, pineapple, and vegetables.

.. Data not availableApayao included in Kalinga prior to 1994Guimaras included in Iloilo prior to 1994 Biliran included in Leyte prior to 1994 Zamboanga Sibugay included in Zamboanga del Sur prior to 2002 Compostela Valley included in Davao del Norte prior to 2002 Sarangani included in South Cotabato prior to 1994 Dinagat Islands included in Surigao Norte up to 3rd Quarter of 2009 Revised data for Apr-Jun 2013 data Revised data for 2012-2013 due to inclusion of Batanes data Note: Batanes data is available starting 2012; Negros Occidental and Negros Oriental are included in Negros Island Region (NIR) starting 2016.

This data set contains data of production of palay and corn year wise in Philippines. The country's major agricultural crops are rice, corn, coconut, sugarcane, banana, cassava, pineapple, and vegetables. 

Data shows use of chemical fertilizer for production of palay . 

This data set contains data of poultry production in Philippines. The major livestock products are hog, cattle, carabao, goat, and dairy products. Chicken and duck are the leading poultry products. 

This data set consists data of poultry product . A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This data set consists data of supply utilization account. A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

Data set contains data of total stock inventory  by sector wise. 

This data set consists data of supply utilization account . A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This data set contains data of average production cost of root crops in Philippines. 

This data set contains data of self sufficiency ratio of agricultural commodities in Philippines.

Swine: Inventory by Farm Type and Age Classification, as of January 1, 2013-2019

This data set consists data of supply utilization account. A statistical framework consisting of a series of Supply/Utilization Accounts (SUAs) for food and agricultural commodities can be a powerful tool for making the best use of available statistical information in formulating plans for developing the agricultural sector. Establishing such a system will also help to pinpoint many inconsistencies in the statistical series, leading to a better recognition of the need to improve statistics on food and agriculture.

This data set contains average production cost of vegetables in Philippines.