7 datasets found
  1. T

    Turkey Interest Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 11, 2025
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    TRADING ECONOMICS (2025). Turkey Interest Rate [Dataset]. https://tradingeconomics.com/turkey/interest-rate
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2, 1990 - Sep 11, 2025
    Area covered
    Türkiye
    Description

    The benchmark interest rate in Turkey was last recorded at 40.50 percent. This dataset provides the latest reported value for - Turkey Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. T

    Turkey Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 3, 2025
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    TRADING ECONOMICS (2025). Turkey Inflation Rate [Dataset]. https://tradingeconomics.com/turkey/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1965 - Sep 30, 2025
    Area covered
    Türkiye
    Description

    Inflation Rate in Turkey increased to 33.29 percent in September from 32.95 percent in August of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. T

    Turkey GDP Annual Growth Rate

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 1, 2025
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    TRADING ECONOMICS (2025). Turkey GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/turkey/gdp-growth-annual
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1996 - Jun 30, 2025
    Area covered
    Türkiye
    Description

    The Gross Domestic Product (GDP) in Turkey expanded 4.80 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Turkey GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. T

    Turkey TR: Fertility Rate: Total: Births per Woman

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey TR: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/turkey/health-statistics/tr-fertility-rate-total-births-per-woman
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Türkiye
    Description

    Turkey TR: Fertility Rate: Total: Births per Woman data was reported at 2.053 Ratio in 2016. This records a decrease from the previous number of 2.072 Ratio for 2015. Turkey TR: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 3.331 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.366 Ratio in 1960 and a record low of 2.053 Ratio in 2016. Turkey TR: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  5. Clothing, Footwear & Leather Goods Retailing in Turkey - Market Research...

    • ibisworld.com
    Updated Jul 17, 2025
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    IBISWorld (2025). Clothing, Footwear & Leather Goods Retailing in Turkey - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/turkey/industry/clothing-footwear-leather-goods-retailing/200593/
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    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Türkiye
    Description

    Over the five years through 2025, clothing, footwear and leather goods retailing revenue is expected to swell at a compound annual rate of 1.5%. European fashion retailers are accelerating nearshoring to reduce supply chain risks, improve agility and meet sustainability goals, despite higher regional labour costs and trade complexities. As wage inflation persists and consumer price sensitivity remains high, operational efficiency and workforce strategy are becoming critical levers for retailers. Those that adapt pricing, diversify sales channels and localise assortments will be best positioned to thrive in a cautious, value-focused market. The brands responding with relevance and reach – not just price – will define the next phase of retail performance in Europe. Consumer caution is driving value-focused shopping, limiting profit, and value retailers like Primark are outperforming mid-market peers, prompting brands such as Inditex and Hugo Boss to expand off-price, low-cost and resale channels to stay competitive with increasingly price-sensitive shoppers. Even luxury retailers in Europe face slowing global sales. Brands are shifting to entry-level goods, direct-to-consumer sales and personalised experiences. In 2025, revenue is anticipated to dip by 0.9% to €333.6 billion thanks to low disposable income and sluggish consumer confidence. Tightening EU regulation and rising consumer expectations are pushing European fashion retailers to prioritise sustainability. Leading brands like Kering, Mulberry and H&M are investing in traceability and ethical practices to meet new ESG standards and protect long-term growth. Sustainability is also reshaping fashion retail as European consumers shift towards second-hand and circular economy options. Retailers like Zara, Uniqlo and Zalando are expanding resale, repair and rental services to meet growing demand and strengthen customer loyalty through sustainable innovation. The influence of social media is another key trend, reshaping fashion retail by accelerating trend adoption and fuelling demand for faster, more responsive offerings. Retailers that successfully integrate social-first strategies and influencer partnerships will be better positioned to capture growth in this evolving market. Over the five years through 2030, revenue is projected to climb at a compound annual rate of 3% to €386.8 billion, while profit is anticipated to absorb 3% of revenue. Overstocking and discounting will continue to weigh on the industry, thinning profit, increasing waste and weakening brands’ perception. Investments in AI, inventory agility and data-driven decision-making should help retailers regain control over their stock levels, laying the foundation for more resilient and profitable growth in a highly competitive and fast-changing market. Sustainability is now a business imperative; fashion retailers that move early to meet rising standards – both voluntary and mandatory – will be more likely to thrive in the long term. Those who delay face rising costs, shrinking market access and reputational fallout. At the same time, the social media landscape is no longer optional for clothing, footwear and leather goods retailers in Europe – it’s foundational. Brands that create relevant, shoppable and emotionally resonant content on platforms like TikTok will be best positioned to secure both attention and spending from the next generation of fashion consumers.

  6. Enterprise Survey 2008 - Turkiye

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Jun 13, 2022
    + more versions
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    European Bank for Reconstruction and Development (2022). Enterprise Survey 2008 - Turkiye [Dataset]. https://microdata.worldbank.org/index.php/catalog/329
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    Dataset updated
    Jun 13, 2022
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    European Bank for Reconstruction and Development
    Time period covered
    2008
    Area covered
    Türkiye
    Description

    Abstract

    The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

    The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

    Geographic coverage

    National

    Analysis unit

    The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

    Universe

    The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with 5 or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in an Enterprise Survey.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The study was conducted using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and oblast (region).

    Industry stratification was designed in the way that follows: the universe was stratified into 5 manufacturing industries, 1 services industry -retail -, and two residual sectors. Each manufacturing industry had a target of 160 interviews. The services industry and the two residual sectors had a target of 120 interviews. For the manufacturing industries sample sizes were inflated by about 33% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel.

    Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

    Regional stratification was defined in 5 regions. These regions are Marmara, Aegean, South, Central Anatolia and Black Sea-Eastern.

    The Turkey sample contains panel data. The wave 1 panel "Investment Climate Private Enterprise Survey implemented in Turkey" consisted of 1325 establishments interviewed in 2005. A total of 425 establishments have been re-interviewed.

    Given the stratified design, sample frames containing a complete and updated list of establishments for the selected regions were required. Great efforts were made to obtain the best source for these listings. However, the quality of the sample frames was not optimal and, therefore, some adjustments were needed to correct for the presence of ineligible units. These adjustments are reflected in the weights computation.

    The source of the sample frame was twofold. Universe estimates were taken from the TOBB database which contains a full list of establishments in manufacturing sectors. TOBB refers to the Union of Chambers and Commodity Exchanges of Turkey. Universe estimates for service sectors were taken from the Statistical Institute of Statistics (SIS) with additional information based on SIC code from the Turkish Studies Institute (TSI). Comparisons were made between estimates in TOBB and SIS to establish that the two sources are comparable and hence can be used side by side.

    The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys, but given the impact these inaccuracies may have on the results, adjustments were needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 43% (2811 out of 6458 establishments).

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Screener Questionnaire.

    The “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments- the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

    The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

    Cleaning operations

    Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

    Response rate

    Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in the document "Description of Turkey implementation.pdf"

  7. Monthly international payments currency share in SWIFT 2019-2025

    • statista.com
    Updated Oct 1, 2025
    + more versions
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    Statista (2025). Monthly international payments currency share in SWIFT 2019-2025 [Dataset]. https://www.statista.com/statistics/1189498/share-of-global-payments-by-currency/
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    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2025
    Area covered
    Worldwide
    Description

    The euro and U.S. dollar made up more than ***** of 10 SWIFT payments worldwide in August 2025, outperforming many other currencies. This is according to a monthly report meant to track the market share of China's yuan renminbi within the international bank transfer system SWIFT. Although China holds the largest forex reserves in the world, the yuan ranked as the ******-used currency in international payments. The figures concern customer-initiated and institutional payments and exclude trade. Discussions on the potential weakening role of the U.S. dollar especially touch world trade and forex. For example, the share of the USD in forex reserves declined visibly against the euro and Japanese yen in 2024. What sparked this de-dollarization trend, and will it continue? Trade sanctions and de-dollarization De-dollarization in 2024 is mentioned mostly alongside trade and the BRICS countries - an informal name given to Brazil, Russia, India, China, and South Africa. The combined GDP of BRICS is about ** percent of the world's economy. After the start of the Ukraine war and Russia received economic sanctions, the BRICS slowly evolved into a trading bloc. The group increasingly wanted its own currency to settle payments within the trade bloc, to avoid using the U.S. dollar. In August 2024, BRICS gathered in South Africa to discuss the creation of such a new joint currency. Additionally, ** countries - including Argentina, Algeria, Egypt, Saudi Arabia, Turkey, and Yemen - expressed interest in joining the BRICS group. CBDC, or projects into a digital payment settlement A factor of future uncertainty for the U.S. dollar is how central bank digital currencies (CBDC) develop in emerging countries. Several projects exist between individual countries that specifically target cross-border interbank payments. A cooperation between Thailand and Hong Kong, Inthanon-Lionrock, ranks as the most advanced of these projects. CBDC does not require the U.S. dollar to function. Tangible such as commodities or gold can back them. The value of transactions processed with CBDC is to grow by ******* percent between 2024 and 2030.

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TRADING ECONOMICS (2025). Turkey Interest Rate [Dataset]. https://tradingeconomics.com/turkey/interest-rate

Turkey Interest Rate

Turkey Interest Rate - Historical Dataset (1990-01-02/2025-09-11)

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133 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, xmlAvailable download formats
Dataset updated
Sep 11, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 2, 1990 - Sep 11, 2025
Area covered
Türkiye
Description

The benchmark interest rate in Turkey was last recorded at 40.50 percent. This dataset provides the latest reported value for - Turkey Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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