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奥地利

  • 总统:Dr. Alexander Van der Bellen
  • 总理:Brigitte Bierlein
  • 首都:Vienna
  • 语言:German (official nationwide) 88.6%, Turkish 2.3%, Serbian 2.2%, Croatian (official in Burgenland) 1.6%, other (includes Slovene, official in South Carinthia, and Hungarian, official in Burgenland) 5.3% (2001 est.)
  • 政府
  • 国家统计局
  • 人口,人口:8,847,037 (2018)
  • 面积,平方公里:82,523
  • 人均国内生产总值,美元:51,513 (2018)
  • GDP,目前美元十亿美元:455.7 (2018)
  • 基尼系数:No data
  • 经商容易度排名:26

Metals and minerals

所有数据集:  C E I M P R S U W
  • C
    • 九月 2019
      来源: Government of Canada
      上传者: Knoema
      访问日期: 27 九月, 2019
      选择数据集
      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • 九月 2019
      来源: Statistics Canada
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      For the location "Puerto Rico" data is available from 1990.
  • E
  • I
  • M
    • 十月 2018
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 26 十月, 2018
      选择数据集
      Merchandise trade matrix - detailed products, exports and imports in thousands of United States dollars, annual This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
  • P
    • 十月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 17 十月, 2019
      选择数据集
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Constructions (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms: UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesCONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Producer (output) prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesSERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
  • R
    • 十月 2015
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 27 十月, 2015
      选择数据集
      Global growth declined in the first half of 2015, reflecting a further slowdown in emerging markets and a weaker recovery in advanced economies. It is now projected at 3.1 percent for 2015 as a whole, slightly lower than in 2014, and 0.2 percentage point below the forecasts in the July 2015 World Economic Outlook (WEO) Update. Prospects across the main countries and regions remain uneven. Relative to last year, growth in advanced economies is expected to pick up slightly, while it is projected to decline in emerging market and developing economies. With declining commodity prices, depreciating emerging market currencies, and increasing financial market volatility, downside risks to the outlook have risen, particularly for emerging market and developing economies. Global activity is projected to gather some pace in 2016. In advanced economies, the modest recovery that started in 2014 is projected to strengthen further. In emerging market and developing economies, the outlook is projected to improve: in particular, growth in countries in economic distress in 2015 (including Brazil, Russia, and some countries in Latin America and in the Middle East), while remaining weak or negative, is projected to be higher next year, more than offsetting the expected gradual slowdown in China.
  • S
    • 十月 2019
      来源: Investing.com
      上传者: Knoema
      访问日期: 16 十月, 2019
      选择数据集
      Steel Industries Stock Performance, Daily Update
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 18 七月, 2019
      选择数据集
      Excess capacity is one of the main challenges facing the global steel sector. The OECD Steel making Capacity database contains data on crude steel making capacity by economy and provides researchers and policymakers with an important tool for analyzing steel capacity developments.
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 18 七月, 2019
      选择数据集
      Excess capacity is one of the main challenges facing the global steel sector. The OECD Steelmaking Capacity database contains data on crude steelmaking capacity by economy and provides researchers and policymakers with an important tool for analysing steel capacity developments.
  • U
  • W
    • 三月 2019
      来源: World Steel Association
      上传者: Knoema
      访问日期: 09 四月, 2019
      选择数据集
      1) This dataset contains monthly blast furnace iron (BFI) and direct reduced iron (DRI) production data. The total for the year is not the sum of the 12 calendar months. This is because annual production is reported separately. Regional and grand totals refer to the countries listed only. Other countries report only annual - and not monthly - data. 2) World Steel Association collects Blast Furnace Iron production (BFI) from 39 countries and Direct Reduced Iron production (DRI) production from 14 countries . The 39 countries accounted for approximately 99% of total world BFI production and 14 countries accounted for 85% of total world DRI in 2015.
    • 九月 2018
      来源: World Trade Organization
      上传者: Knoema
      访问日期: 27 九月, 2018
      选择数据集
      WTO statistical data sets: Total merchandise trade, Merchandise trade by commodity, Network of world merchandise trade, Selected regional integration agreements, Trade in commercial services, Merchandise trade indices.

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