Turcomenistão

The Bertelsmann Stiftung’s Transformation Index (BTI) analyzes and evaluates the quality of democracy, a market economy and political management in 128 developing and transition countries. It measures successes and setbacks on the path toward a democracy based on the rule of law and a market economy flanked by sociopolitical safeguards. Within this framework, the BTI publishes two rankings, the Status Index and the Management Index. Countries are further categorized on the basis of these status index and management rankings/scores. For instance, countries are categorized in to 5 groups – viz; 5 or failed, 4 or very limited, 3 or limited, 2 or advanced, and 1 or highly advanced—based on their status index score of 1 to 10. A country with a high score, 8.5 and above, is categorized as highly advanced. A country with a low score, below 4, is categorized as failed. A country is categorized as ‘very limited’ if it has a status index score between 4 and 5.5. A score between 5.5 and 7 means the country is categorized as ‘limited’ and a country is categorized as ‘advanced’ for a score between 7.1 and 8.5. On the basis of the democratic status ranking, countries are further categorized as 5 or ‘hard - line autocracies,’ 4 or ‘moderate autocracies,’ 3 or ‘highly defective democracies,’ 2 or ‘defective democracies,’ and 1 or ‘democracies in consolidation.’ A country with a democratic status ranking below 4 is categorized as a hard line autocracy. A democratic status score between 4 and 5 means that the country is part of the ‘moderate autocracy’ group. A country is grouped as a ‘highly defective democracy’ for a score between 5 and 6. A country is recognized as a ‘defective democracy’ for a score between 6 and 8, and a score of 8 and above earns a country the status of a ‘democracy in consolidation.’ Countries are also categorized in to 5 groups based on their market economy status ranking. The countries are categorized as ‘rudimentary’ or group 5, ‘poorly functioning’ or group 4, ‘functional flaws’ or group 3, ‘functioning’ or group 2, and ‘developed’ or group 1. A country is recognized as a member of the ‘developed’ group with a market economy status ranking/score of 8 and above. A country is grouped as ‘functioning’ if it has a score between 7 and 8. A market economy status ranking between 5 and 7 means the country is categorized to group 3 or the ‘functional flaws’ group. A score between 3 and 5 means that the country is ‘poorly functioning’ and a score below 3 means the country enjoys a ‘rudimentary’ status. Based on the management index ranking, countries are categorized as 5 or failed, 4 or weak, 3 or moderate, 2 or good, and1 or very good. A country is categorized as ‘very good’ for a score of 7 and above. It is categorized as ‘good’ for a score between 5.6 and 7, and as ‘moderate’ for a score between 4.4 and 5.5. A score between 3 and 4.3 means a country is categorized as ‘weak,’ and a score below 3 means the categorization of a country as ‘failed.’ Countries are ranked between 1 and 10 on the basis of the level of difficulty they face. The level of difficulty is further categorized as 5 or negligible, 4 or minor, 3 or moderate, 2 or substantial, and 1 or massive. A score of 8.5 and above means the categorization of the country’s level of difficulty as ‘massive, and a score below 2.5 means the categorization of the level of difficulty faced by the country as ‘negligible.’ The level of difficulty score of 2.5 to 4.4 means a country faces a ‘minor’ level of difficulty and a score between 4.5 and 6.4 means the level of difficulty faced by a country is ‘moderate.’ A country with a score of 6.5 to 8.4 faces a ‘substantial’ level of difficulty.

Data cited at: Consumer price indexes, The International Monetary Fund Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s empowerment and understand gender gaps in other key areas of development.Covering 180 countries and territories, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.

Global Hunger Index, 2024 The 2024 Global Hunger Index (GHI) score for the world is 18.3, considered moderate, down only slightly from the 2016 score of 18.8. This global score obscures wide variations in hunger by region. The situation is most severe in Africa South of the Sahara and South Asia, where hunger remains serious. Africa South of the Sahara’s high GHI score is driven by the highest undernourishment and child mortality rates of any region by far. In South Asia, serious hunger reflects rising undernourishment and persistently high child undernutrition, driven by poor diet quality, economic challenges, and the increasing impact of natural disasters.

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.

Source: UNECE Statistical Database, compiled from national and international (CIS, EUROSTAT, IMF, OECD, World Bank) official sources. Indicators that base on OECD Handbook on Economic Globalisation Indicators are indicated (OECD). General note: The UNECE secretariat presents time series ready for immediate analysis. When appropriate, source segments with methodological differences have been linked and rescaled to build long consistent time series. The national accounts estimates are compiled according to 2008 SNA (System of National Accounts 2008) – e.g. EU member countries, United States, Canada, Ukraine - or 1993 SNA (System of National Accounts 1993). Growth rates (per cent) are over the preceding period, unless otherwise specified. .. - data not availableIndicator: Domestic final demand met by total imports, % Indicator measures the share of total domestic final demand (the difference between GDP and net exports) met by imports. Sometimes it is referred to as an import penetration rate. It should be noted that small economies or those rich in mineral resources may be specialized in their production, and so import higher proportions of other goods. In addition, the size of service sector is likely to affect this relationship. [ ( imports / ( final consumption expenditure + gross capital formation ) ) * 100 ]Indicator: Export performance, percentage points Export performance measures the difference between the annual growth rate of exports of a country and the growth rate of imports to the country from the rest of the world. A result above zero level indicates a faster growth of exports compared to the growth of imports during the reference period. [ ( exports (t) / exports (t-1) ) – ( imports (t) / imports (t-1) ) * 100 ]Indicator: Export performance, value in millions of US $, in constant prices of comon base year Export performance measures the difference between the annual growth of exports of a country and the growth of imports to the country from the rest of the world. A result indicates a relation of growth of exports compared to the growth of imports during the reference period in millions of US dollars. [ ( ( exports (t) - exports (t-1) ) – ( ( imports (t) - imports (t-1) ) ) ] Indicator: Growth rate of exports, % Growth rate of exports is an indicator of the annual growth or decline of exports from the previous year. [ ( exports (t) / exports (t-1) ) * 100 ]Indicator: Growth rate of imports, % Growth rate of imports is an indicator of the annual growth or decline of imports from the previous year. [ ( imports (t) / imports (t-1) ) * 100 ]Indicator: Growth rate of total trade, % Growth rate of total trade describes either annual growth or decline of the volume of international trade from the previous year. [ ( exports + imports ) (t) / ( exports + imports ) (t-1) ) * 100 ]Indicator: Import coverage by exports, % Indicator shows whether or not a country’s imports are fully covered for by exports. The results describe how many per cent of imports are covered by exports. [ ( exports / imports ) * 100 ]Indicator: Total exports to GDP, % Total exports in GDP show the dependence of domestic producers on foreign markets. It may provide a better indicator of vulnerability to some types of external shocks than total trade in GDP, thus, it is one of the most frequently used globalization indicators. This ratio may indicate the intensity of a country’s trade. In the case of some countries, it may not show significant growth if, during the reference period, services that are not traded internationally and are included in GDP grow more rapidly than exports. Furthermore, larger economies tend to show lower export to GDP ratios because the larger domestic demand. [ ( exports / GDP ) * 100 ]Indicator: Total trade per capita, value in thousands of US $, current prices Total trade per capita measures the relative importance of international trade against the size of the country in terms of population. It is a very concrete measure of the value of international trade per person. [ ( absolute values of imports + exports ) / population ]Indicator: Total trade to GDP, % Total trade (the sum of exports and imports) as a share of GDP measures the dependence on foreign markets and intermediate inputs and, on the other hand, the importance of international trade in the country. It may give indications of the degree to which an economy is open to trade, but should be interpreted with care. This indicator may be called a trade dependence or openness indicator. [ ( (exports + imports ) / GDP ) * 100 ]Indicator: Trade balance to GDP, % Trade balance to GDP highlights the countries with major surplus or deficit in the reference period in relation to the size of their economies. [ ( ( exports - imports ) / GDP ) * 100 ]Indicator: Trade balance to total trade, % Indicator measures international transactions of the country with the rest of the world normalised against its own total trade. This indicator is sometimes also called the normalized trade balance. [ ( ( exports - imports ) / ( exports + imports ) ) * 100 ]  Indicator: Trade balance, value in millions of US $, current prices Trade balance shows the difference between exports and imports (surplus / deficit). This conventional measure reflects a country’s performance in international markets in terms of the net value of goods and services transactions between the country and the rest of the world. [ ( exports - imports ) ]

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.

The “knowledge economy” (KE) is a concept of economic development, in which innovation and access to information drive productivity growth. New trends, such as the Internet of Things or digitalisation, are examples of the transition towards to the knowledge economy. Building the key pillars required to stimulate knowledge-economy development is therefore central to achieving long-term competitiveness. To measure KE development, the European Bank for Reconstruction and Development (EBRD) has constructed the EBRD Knowledge Economy Index, spanning 46 economies – 38 where the EBRD invests and eight comparators.

The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).

The World Bank updated the global poverty lines in September 2022. The Poverty data are now expressed in 2017 Purchasing Power Parity (PPP) prices, versus 2011 PPP in previous editions. The new global poverty lines of $2.15, $3.65, and $6.85 reflect the typical national poverty lines of low-income, lower-middle-income, and upper-middle-income countries in 2017 prices.

The main objective of the research is to address the theoretical and empirical problems of how political institutions of high quality can be created and maintained. The second objective is to study the effects of Quality of Government on a number of policy areas, such as health, environment, social policy, and poverty. While Quality of Government is the common intellectual focal point of the research institute, a variety of theoretical and methodological perspectives are applied. Data citation:  Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde, Victor Saidi Phiri & Lauren Gerber. 2025. The Quality of Government Standard Dataset, version Jan25. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government doi:10.18157/qogstdjan25

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.

The Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index was initially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  

Data cited at: UN E-Government Knowledgebase - https://publicadministration.un.org/egovkb/en-us/ 1. The EGDI is based on a comprehensive Survey of the online presence of all 193 United Nations Member States, which assesses national websites and how e-government policies and strategies are applied in general and in specific sectors for delivery of essential services. The assessment rates the e-government performance of countries relative to one another as opposed to being an absolute measurement. The results are tabulated and combined with a set of indicators embodying a country’s capacity to participate in the information society, without which e-government development efforts are of limited immediate use. Although the basic model has remained consistent, the precise meaning of these values varies from one edition of the Survey to the next as understanding of the potential of e-government changes and the underlying technology evolves. This is an important distinction because it also implies that it is a comparative framework that seeks to encompass various approaches that may evolve over time instead of advocating a linear path with an absolute goal. 2. E-Government Development Index-EGDI Very High-EGDI (Greater than 0.75) High-EGDI (Between 0.50 and 0.75) Middle-EGDI (Between 0.25 and 0.50) Low-EGDI (Less than 0.25)

National Monitoring : School life expectancy by level of education

The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates

The World Happiness Report is a landmark survey of the state of global happiness that ranks 156 countries by how happy their citizens perceive themselves to be. The World Happiness Report 2020 for the first time ranks cities around the world by their subjective well-being and digs more deeply into how the social, urban and natural environments combine to affect our happiness.

Data cited at: World Uncertainty Index (WUI), developed by Hites Ahir (International Monetary Fund), Nicholas Bloom (Stanford University) and Davide Furceri (International Monetary Fund).