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柬埔寨

  • Monarch:Norodom Sihamoni
  • 首相:Hun Sen
  • 首都:Phnom Penh
  • 语言:Khmer (official) 96.3%, other 3.7% (2008 est.)
  • 政府
  • 国家统计局
  • 人口,人口:16,249,798 (2018)
  • 面积,平方公里:176,520
  • 人均国内生产总值,美元:1,512 (2018)
  • GDP,目前美元十亿美元:24.6 (2018)
  • 基尼系数:No data
  • 经商容易度排名:138
所有数据集:  A C E F I O P R S U W
  • A
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 五月 2013
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • 四月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 八月, 2019
      选择数据集
      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • 五月 2013
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
    • 五月 2013
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
    • 九月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 04 九月, 2019
      选择数据集
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • 十一月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      ASTI collects primary time-series data on agricultural research capacity and spending levels through national survey rounds in over 80 low-and middle-income countries. Data collection is carried out by country focal points, who distribute survey forms to all agencies known to conduct agricultural research in a given country, including government, nonprofit, and higher education agencies. Private-for profit sector coverage is limited, and hence excluded from this dataset. More detailed country- and regional-level data on agricultural research capacity, investment, and outputs are available on www.asti.cgiar.org/data.   ASTI-Researchers by Agency Type, 2016
  • C
    • 一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • 五月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 03 五月, 2019
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Commodity Markets Outlook Publication: http://www.worldbank.org/en/research/commodity-markets License: http://creativecommons.org/licenses/by/4.0/   Report on Commodity Markets Outlook, 2019 April Financial Years-1970/71,1980/1981,2017/2018,2018/2019 have been considered as 1971,1981,2018,2019 respectively.
    • 十一月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
  • E
    • 十二月 2016
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 17 十一月, 2019
      选择数据集
      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • 十一月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 19 十一月, 2019
      选择数据集
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
  • F
    • 五月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • 十一月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 19 十一月, 2019
      选择数据集
      The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • 十一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • 三月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • 十月 2011
      来源: Food and Agricultural Policy Research Institute
      上传者: Knoema
      访问日期: 25 十二月, 2012
      选择数据集
      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      Data refers to the number of women employed in the agricultural sector as a percent of total employment in agriculture
    • 十二月 2017
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • 一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
    • 二月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • 一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • 六月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
  • I
    • 一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      The Fertilizer archive dataset contains information on the Production, Trade and Consumption of chemical and mineral fertilizers products, both in total nutrients and in amount of product, over the time series 1961 to 2002. The dataset also contains data on Prices paid by farmers expressed in local currencies (as a consequence no country aggregates are available) for single fertilizer products. This dataset is an archive and it is disseminated as it was in the previous FAOSTAT System. No dataset updates made or to be made in the future.
    • 九月 2019
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 30 十月, 2019
      选择数据集
      Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
    • 八月 2014
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 02 九月, 2015
      选择数据集
      This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
    • 七月 2017
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 06 三月, 2018
      选择数据集
      This dataset is the basis for the International Food Security Assessment, 2017-27 released in July 2017. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
    • 九月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 27 六月, 2019
      选择数据集
      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • 十月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 16 十月, 2019
      选择数据集
      Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
    • 一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
  • O
  • P
    • 六月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 16 十月, 2019
      选择数据集
      Resource Statistics - Pesticides Trade
    • 一月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 25 一月, 2019
      选择数据集
      CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
    • 二月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 03 四月, 2019
      选择数据集
      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare  
    • 十一月 2019
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 11 十一月, 2019
      选择数据集
      USDA Production, Supply and Distribution dataset contains current and historical official USDA data on production, supply and distribution of agricultural commodities for the United States and key producing and consuming countries.
    • 十一月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 18 十一月, 2019
      选择数据集
      This indicator conveys the share of informal employment in total employment in the non-agricultural sector. Employment comprises all persons of working age who, during a specified brief period, were either in paid employment (whether at work or with a job but not at work) or in self-employment (whether at work or with an enterprise but not at work). Informal employment comprises persons who in their main or secondary jobs were (a) own-account workers, employers and members of producers' cooperatives employed in their own informal sector enterprises; (b) own-account workers engaged in the production of goods exclusively for own final use by their household (e.g. subsistence farming); (c) contributing family workers, regardless of whether they work in formal or informal sector enterprises; or (d) employees holding informal jobs, whether employed by formal sector enterprises, informal sector enterprises, or as paid domestic workers by households. For further information, see the SDG Indicators Metadata Repository (https://unstats.un.org/sdgs/metadata/) or ILOSTAT's indicator description (www.ilo.org/ilostat-files/Documents/description_IFL_EN.pdf).
  • R
    • 九月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 07 十二月, 2018
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      Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
  • S
  • U
    • 四月 2019
      来源: U.S. Department of Agriculture
      上传者: Sandeep Reddy
      访问日期: 13 四月, 2019
      选择数据集
      This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance 6. U.S. wheat exports by selected destinations (1,000 metric tons) Reference Market year (start from Jun-May) Q 1 in Market year: Jun-August Q 2 in Market year: Sep-Nov Q 3 in Market year: Dec-Feb Q 4 in Market year: March-May
    • 四月 2019
      来源: U.S. Department of Agriculture
      上传者: Sandeep Reddy
      访问日期: 08 五月, 2019
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      International baseline projections indicate supply, demand, and trade for major agricultural commodities for selected countries. These projections provide foreign country detail supporting the annual USDA agricultural baseline, which are long run, 10-year projections. Baseline in this dataset is year 2019. For commodities: Barley, Corn, Cotton, Rice, Sorghum, Soybeans, Soybean meal, Soybean Oil and Wheat, Data is based on local marketing years. Date 2028/27 is represented as 2028 World is sum of all countries and regions modeled. World imports for the first two years may differ somewhat from those in last November's USDA World Agricultural Supply and Demand Estimates (WASDE) report in order to balance imports and exports. World imports do not equal exports in WASDE due to differences in marketing years, time lags between reported exports and imports, and reporting discrepancies in some countries. For commodities: Beef, Pork, Poultry, Data is based on calendar year.World is sum of all countries and regions modeled. World totals for the first three Years differ from those in last October's USDA Livestock and Poultry: World Markets and Trade report because some countries are included here that are not covered in USDA’s official database.
  • W
    • 八月 2019
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 16 八月, 2019
      选择数据集
      Trade Statistics of all Commodities
    • 十月 2019
      来源: U.S. Department of Agriculture
      上传者: Sandeep Reddy
      访问日期: 22 十月, 2019
      选择数据集
      World Agricultural Supply and Demand Estimates Report (WASDE): World Supply and Use   Note 1: The dataset considered the market year as follows   2017/18 actual year referred as 2018, 2018/19 Estimated year referred as 2019 and 2019 for Current Month 2019/20 Projection year referred as 2019 for Monthly and Annual   Note 2: For Regions:-Central Asia, Afr. Fr. Zone, Australia,Thailand,Vietnam For Crop:-Cotton For Indicator:-Production and Imports Values are Less than 5,000 bales.
    • 一月 2018
      来源: World Atlas
      上传者: Knoema
      访问日期: 05 九月, 2019
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      Data cited at: World Atlas   Coffee consumption by country.
    • 十一月 2015
      来源: Wine Institute
      上传者: Knoema
      访问日期: 15 九月, 2016
      选择数据集
      Vineyard acreage is based on United Nations Food & Agriculture Organization (FAO) data, Eurostat data and estimates and reports from individual countries. It includes vineyards used for the production of wine variety grapes, raisin variety grapes, table grapes (for the fresh market) and juice grapes (for the production of grape juice and grape juice concentrate). Wine consumption includes data for 225 countries during the period 2011-2014. Consumption has been estimated by TDA by aggregating the exports of the major wine producing countries to each individual country. The aggregation includes 41 countries including the EU 28, Argentina, Australia, Canada, China, Chile, Hong Kong, New Zealand, Singapore, South Africa, South Korea, Ukraine, United States, and Uruguay. The November 2015 revision pertains to Sweden. Wine production quantity indicated for China does not include the production of Chinese yellow wine; quantity indicated for Japan does not include the production of Sake; quantity indicated for Korea does not include the production of fruit wine and rice wine.
    • 十月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 06 十一月, 2019
      选择数据集
      世界银行从官方认可的国际来源编制的发展指标的主要收集。它提供了目前最准确的全球发展数据, 包括国家、区域和全球估计数

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