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科摩罗

  • 总统:Azali Assoumani
  • 副总统:Djaffar Ahmed Said Hassani
  • 首都:Moroni
  • 语言:Arabic (official), French (official), Shikomoro (official; a blend of Swahili and Arabic) (Comorian)
  • 政府
  • 国家统计局:No data
  • 人口,人口:832,322 (2018)
  • 面积,平方公里:1,861
  • 人均国内生产总值,美元:1,445 (2018)
  • GDP,目前美元十亿美元:1.2 (2018)
  • 基尼系数:No data
  • 经商容易度排名:164

Investment

所有数据集:  B C D E F G I M O P
  • B
    • 六月 2018
      来源: Arab Monetary Fund
      上传者: Knoema
      访问日期: 05 七月, 2018
      选择数据集
      1. Balance of Loans Commitments. 2. Balance of Outstanding 3. Capital
    • 十一月 2018
      来源: U.S. Department of Commerce, Bureau of Economic Analysis
      上传者: Knoema
      访问日期: 01 四月, 2019
      选择数据集
      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
    • 五月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 28 五月, 2019
      选择数据集
      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
    • 四月 2018
      来源: World Bank
      上传者: Knoema
      访问日期: 14 十一月, 2018
      选择数据集
      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
  • C
    • 十二月 2018
      来源: Common Market for Eastern and Southern Africa
      上传者: Knoema
      访问日期: 11 七月, 2019
      选择数据集
      Data cited at: https://comstat.comesa.int/FDI2016V1
    • 八月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 26 八月, 2019
      选择数据集
      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 23 九月, 2019
      选择数据集
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • 十二月 2018
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 22 二月, 2019
      选择数据集
      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • 七月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 29 七月, 2016
      选择数据集
      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • 十二月 2015
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 18 四月, 2016
      选择数据集
      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
  • D
  • E
    • 九月 2013
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 10 十月, 2013
      选择数据集
      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
  • F
    • 六月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2018
      选择数据集
    • 十月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 17 十月, 2019
      选择数据集
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • 八月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 16 八月, 2019
      选择数据集
      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
    • 七月 2019
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 09 八月, 2019
      选择数据集
    • 四月 2018
      来源: Statistics Centre of Abu Dhabi
      上传者: Knoema
      访问日期: 08 五月, 2019
      选择数据集
      Note: 2017 values are Preliminary Estimates.
  • G
    • 九月 2018
      来源: Dual Citizen LLC
      上传者: Knoema
      访问日期: 21 九月, 2018
      选择数据集
      The performance index of the 2018 GGEI is defined by 20 underlying indicators, each contained within one of the four main dimensions of leadership & climate change, efficiency sectors, markets & investment and the environment.   For more detail on our approach to aggregating these diverse data sources to define the composite indicators in the GGEI and its four main dimensions, as well as our approach to data selection, weighting and other issues associated with creating an index, please visit the Methodology section.
  • I
    • 十二月 2018
      来源: Islamic Development Bank
      上传者: Knoema
      访问日期: 08 三月, 2019
      选择数据集
    • 七月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 18 七月, 2019
      选择数据集
      The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
    • 六月 2013
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 22 七月, 2013
      选择数据集
      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • 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.
    • 十二月 2015
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 25 三月, 2016
      选择数据集
      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
  • M
    • 五月 2017
      来源: Islamic Development Bank
      上传者: Knoema
      访问日期: 06 九月, 2017
      选择数据集
    • 五月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 27 六月, 2019
      选择数据集
      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • 四月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 06 五月, 2019
      选择数据集
      Migration and Remittances Fact book provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. 
  • O
    • 十月 2013
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 29 十月, 2013
      选择数据集
      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
  • P
    • 十一月 2018
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 27 十二月, 2018
      选择数据集
      This Dataset presents time series on receipts and payments of personal remittances in millions of dollars. These data are also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP. Personal remittances, as defined in this table, comply with the guidelines of the Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6) (IMF 2009, Appendix 5). They are the sum of two items: (1.) compensation of employees, defined as the income of workers employed in an economy where they are not resident and of residents employed by non-resident employers; (2.) personal (current) transfers, defined as current transfers in kind or in cash, between resident and non-resident households (ibid., A5.5-7). A broader definition of personal remittances would include also capital transfers between resident and non-resident households (ibid., A5.10-13). However, data coverage for capital transfers is much sparser than for the two items above, as compilation of this item by countries is voluntary in the context of the balance of payment statistics. Therefore, capital transfers between resident and non-resident households are reported in this table separately. The main source of personal remittances data is World Bank. In cases of missing data, data from IMF or Economic Intelligence Unit have been imputed. Capital transfers data have been taken from IMF.

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