San Vicente y las Granadinas

Data cited at: Balance of Payments(BOP) and International Investment Position(IIP), World and Regional Aggregates, The International Monetary Fund 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.

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

Data cited at https://www.transparency.org/en/cpi/2020/index/nzl by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/en/cpi/2020/index/nzl Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.

Eurostat Dataset Id:med_ag2 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Eurostat Dataset Id:cens_01reisco The tables presented in the topic of educational level cover the total population for 31 countries (for more information on received tables and geographic coverage, see "2001 Census Round - Tables Received" in the Annex at the bottom of the page). The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes. There are four ways of collecting census data, namely: - the traditional method of using census questionnaires (exhaustive census); - the method of using registers and/or other administrative sources; - a combination of registers and/or other administrative sources and - surveys (complete enumerations or sample surveys). Other methods (other mixed census or micro-census) can be used as well. Details for the method employed by each country are provided in "2001 Census Method"in the Annex at the bottom of the page. In the same table you can find the dates on which the census was carried out in each country.

This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt.   FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated.

Foreign Trade Statistics of Lesotho

International Trade in Commodities in UAE

This dataset provides information on gross domestic product (GDP), total and per capita at current and constant (2010) prices also it contains annual average growth rates of gross domestic product (GDP), total and per capita, in per cent. The total GDP is expressed in millions of dollars, while GDP per capita is expressed in dollars.

'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains - Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media - as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “keys with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted. Anti-corruption laws enacted by a country and information about enforcement of those laws. Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants. Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains . For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100 — with 100 representing the greatest risk — but also scores for each of the four domains and nine sub-domains. '  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

Data cited at: Germanwatch-https://www.germanwatch.org/en/cri 

DHL Global Connectedness Report, released in partnership with New York University’s Stern School of Business, unveils a remarkable finding: Globalization reached a record high in 2022 and has remained near that level in 2023

The Global Cybersecurity Index (GCI) was first launched in 2015 by the International Telecommunication Union (ITU) to measure the commitment of 193 ITU Member States and the State of Palestine1 to cybersecurity to help them identify areas of improvement and encourage countries to take action, through raising awareness on the state of cybersecurity worldwide. As cybersecurity risks, priorities, and resources evolve, the GCI has also adapted to give a more accurate snapshot of cybersecurity measures taken by countries. This report aims to better understand countries’ commitments to cybersecurity, identify gaps, encourage the incorporation of good practices, and provide useful insights for countries to improve their cybersecurity postures.     Update on this version: Unlike previous iterations, which have a scale of 0 to 1, this iteration of the GCI is on a scale of 0 to 100, with each pillar weighted at 20 points. As a composite weighted index, each indicator, sub-indicator, and micro-indicator are assigned a weight given the relative importance to the indicator group. Weightage can have a significant impact on final scores, and different techniques will produce different rankings.

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2019-2050 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and Prepaid Private), and development assistance for health (DAH). Retrospective health spending estimates for 1995-2018 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2020 US dollars, constant 2020 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.

The Global Innovation Index 2024 captures the innovation ecosystem performance of 133 economies and tracks the most recent global innovation trends. The Global Innovation Tracker 2024 provides a comprehensive analysis of the current state of global innovation. Findings highlight progress as well as challenges across four key stages of the innovation cycle: science and innovation investment, technological progress, technology adoption, and the socioeconomic impact of innovation.

The Global Opportunity Index (GOI) answers a pressing need for information that's vital to a thriving global economy like what policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation, everything multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments.   Methodology The GOI considers economic and financial factors that influence investment activities as well as key business, legal and regulatory policies that governments can modify to support and often drive investments. Overall, it tracks countries’ performance on more than 50 variables aggregated in five categories, each measuring an aspect of a country’s attractiveness for investors: (1) its economic performance; (2) the ability for investors to access financial services; (3) the cost of doing business; (4) the level of support its institutions provide to businesses; and (5) the extent to which its institutions, policies, and legal system facilitate international integration.

Highlights of the  Global Sustainable Competitiveness Report 2024:The GSCI is now based on a new calculation methodology incorporating 216 quantitative indicators that uses (but is not based upon) AI tools to clean data, and analyse trends and correlations • Scandinavia continues to make its mark on the Sustainable Competitiveness Index: of the top 5 spots, 4 are Scandinavian. Sweden keeps topping the Index, followed by Finland and Denmark; • Northern European countries dominate the top 20 rankings; • Only two countries in the Top 20 are not European: Japan on 10, and South on 16; • China is ranked 28, exceling in Intellectual Capital but lags in Natural Capital and Resource Efficiency, albeit with encouraging signs of efficiency improvements; • The USA is ranked 35, performing comparatively poor in resource efficiency and social capital, reflecting a decline that could potentially undermine the global status of the US in the future; • Germany ranks 9, France 8, and the UK 14; • Brazil ranks 52, India 90, and Nigeria – Africa’s most populous nation – 145; • Some of the least developed nations have a considerable higher GSCI ranking than their GDP would suggest (e.g. Vietnam, Colombia, Peu, Nepal, Bhutan, Bolivia, …) • Asian nations (South Korea, Japan, Singapore, and China) lead the Intellectual Capital Index – the basis of innovation. • The Social Capital Index ranking is headed by Northern European (Scandinavian) countries, the result of economic growth combined with a commonly accepted social consensus • Countries savaged by violent conflicts (Sudan, Yemen, Eritrea, Libya, Somalia, Afghanistan) are at the bottom of the GSCI

This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.

Data cited at: https://mauritius.opendataforafrica.org/HDIM2016

Data Cited at: UNITED NATIONS DEVELOPMENT PROGRAMME, Human Development Data Center The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.

Data cited at: International Telecommunication Union-https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx 

The latest World Economic Outlook reports stable but underwhelming global growth, with the balance of risks tilted to the downside. As monetary policy is eased amid continued disinflation, shifting gears is needed to ensure that fiscal policy is on a sustainable path and to rebuild fiscal buffers. Understanding the role of monetary policy in recent global disinflation, and the factors that influence the social acceptability of structural reforms, will be key to promoting stable and more rapid growth in the future.

The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.

The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.

The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.

This Dataset presents product concentration and diversification indices.  The diversification index indicates whether the structure of exports or imports by product of a given country or country group differs from the world pattern. The product concentration index shows how exports and imports of individual countries or country groups are concentrated on a few products or otherwise distributed in a more homogeneous manner among a series of products.

This dataset shows statistics on the international maritime transport. It contains data on the size of the world merchant fleet by flag of registration and by type of ship. Data are presented in thousands of dead-weight tons (DWT).The dataset presents also, for each region or country 1) its share in the world fleet, and 2) the share of a ship-type in its fleet. From 2011 onwards, the figures on numbers of ships are also available, as well as the data in gross tonnage (GT).   This table contains consolidated time series from various issues of the UNCTAD Review of Maritime Transport. The Review reports on the worldwide evolution of shipping, ports and multimodal transport related to the major traffics of liquid bulk, dry bulk and containers. Please see http://unctad.org/rmt.   The data refer to the beginning of an indicated year.   The figures cover seagoing propelled merchant ships of 100 gross tons and above, excluding inland waterway vessels, fishing vessels (from 2011 onwards only), military vessels, yachts, and offshore fixed and mobile platforms and barges (with the exception of FPSO - floating production, storage and offloading vessels - and drillships). Break in series: from 2011 onwards - (a) data also include the United States and Canada Great Lakes fleets; and (b) figures no longer cover the fishing vessels.

The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.

Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable. Note: Ethiopia [upto 1993] and Ethiopia [from 1993] merged to get Ethiopia, Similarly Sudan (upto 2011) is combined with Sudan.

National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals

Eurostat Dataset Id:cens_01rews The tables presented in the topic of educational level cover the total population for 31 countries (for more information on received tables and geographic coverage, see "2001 Census Round - Tables Received" in the Annex at the bottom of the page). The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes. There are four ways of collecting census data, namely: - the traditional method of using census questionnaires (exhaustive census); - the method of using registers and/or other administrative sources; - a combination of registers and/or other administrative sources and - surveys (complete enumerations or sample surveys). Other methods (other mixed census or micro-census) can be used as well. Details for the method employed by each country are provided in "2001 Census Method"in the Annex at the bottom of the page. In the same table you can find the dates on which the census was carried out in each country.

World : Renewable Electricity Capacity and Generation Statistics

This Dataset contains new preliminary annual estimates on international trade in services, based on the most recent quarterly figures. The underlying sources and methodology are different to previously used by UNCTAD and those used in the table containing the longer series of annual trade-in-services statistics. Consequently, the two data sets should not be merged or used interchangeably. The preliminary figures and derived growth rates included in this new series should be given priority as they are more up-to-date. However, users are advised that when the final annual data are published in May, these should be treated as the definitive series. The data in the table entitled "Services (BPM6): Exports and imports by service-category and by trade-partner” are kept on the web for users who require information on detailed services' sub-items or longer time-series.

Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The Sustainable Development Report 2020 presents the SDG Index and Dashboards for all UN member states and frames the implementation of the Sustainable Development Goals (SDGs) in terms of six broad transformations. It was prepared by teams of independent experts at the Sustainable Development Solutions Network (SDSN) and the Bertelsmann Stiftung.

Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana

The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary; conventional and unconventional; and new and renewable sources of energy. The Energy Statistics dataset, covering the period from 1990 onwards, is available at UNdata

Estimates on the use of water, sanitation and hygiene by country (2000-2020)

The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. This Report further focuses on:Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications.Ranking of the largest transnational corporations in the world.In-depth analysis of a selected topic related to FDI.Policy analysis and recommendations.Statistical annex with data on FDI flows and stocks for 196 economies.

The 2018 Revision of World Urbanization Prospects presents the latest United Nations estimates of the size of urban and rural populations for 233 countries or areas from 1950 to 2018, with projections until 2050. It also includes data on population size for close to 1900 urban settlements having 300000 inhabitants or more in 2018. These 1900 cities or urban areas are now home to nearly 60 per cent of the world’s urban population.

The dataset presents the total number of containers handled by a port, per country, expressed in twenty-foot equivalent units (TEUs). A TEU represents the volume of a standard 20 feet long intermodal container used for loading, unloading, repositioning and transshipment. A 40-foot intermodal container is counted as two TEUs. Maritime Transport Indicators: Container Port Throughput, Annual, 2010-2020 NB: Sudan values prior to 2011 are before secession of South Sudan TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack