Philippine Statistics Authority

The PSA shall primarily be responsible for the implementation of the objectives and provisions of R.A. 10625. It shall plan, develop, prescribe, disseminate and enforce policies, rules and regulations and coordinate government-wide programs governing the production of official statistics, general-purpose statistics, and civil registration services. It shall primarily be responsible for all national censuses and surveys, sectoral statistics, consolidation of selected administrative recording systems and compilation of national accounts.

Все наборы данных: C F G I L N P
  • C
    • Ноябрь 2019
      Источник: Philippine Statistics Authority
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2019
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      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.
  • F
    • Ноябрь 2019
      Источник: Philippine Statistics Authority
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2019
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      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.
  • G
  • I
    • Октябрь 2023
      Источник: Philippine Statistics Authority
      Загружен: Knoema
      Дата обращения к источнику: 10 октября, 2023
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      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.
  • L
    • Ноябрь 2019
      Источник: Philippine Statistics Authority
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2019
      Выбрать
      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.
  • N
    • Ноябрь 2019
      Источник: Philippine Statistics Authority
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2019
      Выбрать
      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.
  • P
    • Ноябрь 2019
      Источник: Philippine Statistics Authority
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2019
      Выбрать
      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.