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Berlin-based online fashion retailer Zalando's sustainability and transparency about its sourcing and supply chain processes have declined in recent years. According to the most recent fashion transparency index scores, Zalando scored ** out of 100 in 2023, down from ** in 2021. According to the source, this score means that Zalando is "disclosing their first tier manufacturers as well as detailed information about their policies, procedures, social and environmental goals, governance, supplier assessment and remediation processes."
According to the latest results of IFDAQ's Global Cities Consumer IPX (Index), by 2030 Paris is expected to become the leading city for fashion, with an index value of ***** points. IFDAQ's forecast for 2030 put New York and London in the second and third place, respectively.The index measures global cities taking into account factors such as GDP, brand presence, wealth, consumption and creative power.
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Cropland Index
The Cropland Index evaluates lands used to produce crops based on the following input datasets: Revised Storie Index, California Important Farmland data, Electrical Conductivity (EC), and Sodium Adsorption Ratio (SAR). Together, these input layers were used in a suitability model to generate this raster. High values are associated with better Croplands
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South Africa Index: FTSE/JSE: All Share Style Value data was reported at 358.994 02Jan2002=100 in Oct 2018. This records a decrease from the previous number of 372.309 02Jan2002=100 for Sep 2018. South Africa Index: FTSE/JSE: All Share Style Value data is updated monthly, averaging 291.870 02Jan2002=100 from Oct 2004 (Median) to Oct 2018, with 169 observations. The data reached an all-time high of 425.157 02Jan2002=100 in Apr 2015 and a record low of 103.070 02Jan2002=100 in Oct 2004. South Africa Index: FTSE/JSE: All Share Style Value data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.
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Thailand SET: Index: Fashion data was reported at 746.370 31Dec2003=100 in Nov 2018. This records an increase from the previous number of 736.550 31Dec2003=100 for Oct 2018. Thailand SET: Index: Fashion data is updated monthly, averaging 690.790 31Dec2003=100 from Jan 2005 (Median) to Nov 2018, with 167 observations. The data reached an all-time high of 869.430 31Dec2003=100 in Oct 2014 and a record low of 426.520 31Dec2003=100 in Nov 2008. Thailand SET: Index: Fashion data remains active status in CEIC and is reported by The Stock Exchange of Thailand. The data is categorized under Global Database’s Thailand – Table TH.Z001: The Stock Exchange of Thailand: Index.
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According to our latest research, the Fashion Token Index market size reached USD 2.18 billion globally in 2024, reflecting the rapid integration of blockchain and tokenization within the fashion industry. The market is projected to grow at a robust CAGR of 20.7% from 2025 to 2033, reaching an estimated USD 13.89 billion by the end of the forecast period. This impressive growth is primarily driven by the rising adoption of digital assets, NFTs, and decentralized platforms in the fashion sector, enabling new revenue streams, enhanced transparency, and improved consumer engagement.
One of the most significant growth factors for the Fashion Token Index market is the increasing demand for digital fashion and virtual goods. As consumers, particularly Gen Z and Millennials, spend more time in virtual environments and the metaverse, fashion brands are leveraging blockchain-based tokens to create, sell, and authenticate digital apparel and accessories. This trend not only creates new monetization opportunities for brands and designers but also fosters a thriving secondary market for digital collectibles. The integration of NFTs and other token types into fashion collections is redefining the concept of exclusivity, allowing brands to offer limited edition items, unique experiences, and digital ownership, thereby driving market expansion.
Another key driver is the growing emphasis on authenticity and provenance in the fashion industry. Counterfeiting remains a persistent challenge, costing brands billions annually and eroding consumer trust. Blockchain-powered Fashion Token Index solutions enable brands to embed authentication and provenance data directly into digital tokens, providing immutable proof of origin and ownership. This level of transparency not only protects brand integrity but also empowers consumers to make informed purchasing decisions. As regulatory bodies and industry associations increasingly mandate traceability and sustainability disclosures, the adoption of tokenized solutions is expected to accelerate further, fueling market growth.
The emergence of brand loyalty programs powered by fashion tokens is also contributing to the market's upward trajectory. By leveraging tokenization, fashion brands can create innovative loyalty ecosystems where consumers earn, trade, and redeem tokens for exclusive rewards, early access to collections, or personalized experiences. Such programs foster deeper customer engagement, drive repeat purchases, and enhance brand differentiation in a highly competitive landscape. As more brands experiment with tokenized loyalty initiatives and integrate them with e-commerce and social platforms, the Fashion Token Index market is poised for sustained growth throughout the forecast period.
Regionally, North America currently leads the global Fashion Token Index market, accounting for the largest revenue share in 2024, followed closely by Europe and the Asia Pacific. The dominance of North America is attributed to the strong presence of leading fashion houses, advanced blockchain infrastructure, and a high concentration of tech-savvy consumers. Europe is witnessing rapid adoption, particularly in fashion capitals such as Paris, Milan, and London, where brands are pioneering digital fashion initiatives. The Asia Pacific region, led by China, Japan, and South Korea, is emerging as a significant growth engine, driven by a young, digitally native population and the proliferation of online platforms. The Middle East & Africa and Latin America are also experiencing increased interest, albeit at a more nascent stage, as brands and consumers in these regions begin to explore the benefits of fashion tokenization.
The Component segment of the Fashion Token Index market is bifurcated into Platform and Services, each playing a pivotal role in shaping the industry landscape. The Platform sub-segment encompasses the underlying blockchain infrastructure, token issuance tools, smart contract development environments, and marketplaces that facilitate the creation, management, and trading of fashion tokens. These platforms are crucial for enabling seamless interoperability, scalability, and security, which are essential for mainstream adoption. Leading platforms are investing heavily in user-friendly interfaces, robust compliance features, and integrations with payment gateways, thereby lowering the entry barriers
According to our latest research, the global Fashion Token Index market size reached USD 1.28 billion in 2024, reflecting a robust expansion driven by the digital transformation in the fashion and retail sectors. The market is projected to grow at a compelling CAGR of 22.7% from 2025 to 2033, reaching an estimated value of USD 9.02 billion by the end of the forecast period. This remarkable growth trajectory is primarily fueled by increased adoption of blockchain technology, rising consumer interest in digital assets, and the proliferation of virtual fashion experiences. As per the latest research, the Fashion Token Index market is witnessing rapid evolution, with both established fashion houses and emerging digital-native brands leveraging tokenization to enhance customer engagement, drive loyalty, and unlock new revenue streams.
One of the key growth factors propelling the Fashion Token Index market is the increasing convergence of fashion and technology. The integration of blockchain-based tokens within the fashion industry enables brands to offer unique digital experiences, authenticate products, and facilitate transparent supply chains. Utility tokens and NFTs are being utilized to provide exclusive access to digital fashion shows, limited-edition collections, and immersive virtual environments. This trend is particularly pronounced among Gen Z and millennial consumers, who are highly receptive to digital ownership and the gamification of brand interactions. The ability to tokenize fashion assets not only enhances consumer engagement but also opens up innovative monetization pathways for designers and brands, further accelerating market growth.
Another significant driver of the Fashion Token Index market is the rise of virtual goods and digital fashion. The burgeoning popularity of the metaverse and online gaming platforms has created a thriving market for digital apparel and accessories, which can be bought, sold, and traded using fashion tokens. Non-fungible tokens (NFTs) are at the forefront of this movement, allowing consumers to own verifiable, scarce digital fashion items. As virtual environments become increasingly sophisticated, brands are investing in NFT collaborations, digital runway events, and avatar customization, thereby expanding the utility and appeal of fashion tokens. The seamless integration of payment and loyalty tokens into these ecosystems further incentivizes consumer participation and fosters brand loyalty.
Furthermore, the Fashion Token Index market is benefiting from the growing emphasis on sustainability and transparency within the fashion industry. Blockchain-powered tokens facilitate traceability, enabling consumers to verify the provenance and ethical credentials of their purchases. Security tokens are being leveraged to fractionalize ownership of high-value fashion assets, democratizing investment opportunities and fostering greater inclusivity. Additionally, the adoption of tokenized loyalty programs is streamlining customer rewards and enhancing the overall shopping experience. As regulatory frameworks around digital assets mature, institutional adoption is expected to rise, paving the way for sustained market expansion.
Regionally, North America and Europe are leading the Fashion Token Index market, driven by advanced digital infrastructure, high consumer awareness, and a vibrant ecosystem of fashion-tech startups. The Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, a burgeoning middle class, and widespread adoption of mobile payment solutions. Latin America and the Middle East & Africa are also witnessing increasing interest, with local brands experimenting with tokenization to differentiate their offerings and tap into global audiences. While regional dynamics vary, the overarching trend is clear: the fusion of blockchain technology and fashion is transforming industry paradigms, creating new value propositions for stakeholders across the value chain.
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For lands used to produce crops, CEC developed a suitability model to simultaneously evaluate several factors that impact an area’s relative implication for croplands. In the CEC land use screens, implication is defined as a possible significance or a likely consequence of an action. For example, planning for energy infrastructure development in areas with more factors that support high-value croplands has implications for opportunities to preserve agricultural land. The variables used in the CEC Cropland Index Model contain information on soil quality (CA Revised Storie Index, Electrical Conductivity, and Sodium Adsorption Ratio), farmland designations (Prime Farmland, Unique Farmland and Farmland of Statewide Importance), and current existence of crops (as indicated by the California Statewide Crop Mapping). The CEC Cropland Index Model does not include statewide information for grazing lands or rangelands, and it is only applied to solar technology.
Each input data layer is transformed onto a common scale and weighted according to each dataset’s relative importance. The result is a summation of the input data layers into a single-gridded map. This final model output provides a numerically weighted index of importance for croplands at a given location. The classified version of the model output, given in this dataset, partitions the CEC Cropland Index Model at the mean into areas of high and low implication. The high implication area is used as an exclusion in the CEC Land Use Screens for solar technology. These regions have a relatively higher implication for cropland than the lower implication region.
The table below provides data sources that the CEC Cropland Index Model relies on. For a complete description of the model and its use in the 2023 CEC Land-Use Screens, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library.
Dataset Name |
Source |
Usage |
Gridded Soil Survey Geographic (gSSURGO) Database |
Soil Survey Staff. 2020. "The Gridded Soil Survey Geographic (gSSURGO) Database for California." United States Department of Agriculture, Natural Resources Conservation Service. https://gdg.sc.egov.usda.gov/ |
Provides CA Revised Storie Index, Electrical Conductivity, and Sodium Adsorption Ratio for the CEC Cropland Index Model for the Core and SB 100 Terrestrial Climate Resilience Screens for solar resource potential |
California Important Farmland |
2022. "2018 California Important Farmland.” Farmland Mapping and Monitoring Program." California Department of Conservation. https://www.conservation.ca.gov/dlrp/fmmp |
Prime Farmland, Unique Farmland, and Farmland of Statewide Importance is used in the CEC Cropland Index Model for the Core and SB 100 Terrestrial Climate Resilience Screens for solar resource potential |
California Statewide Crop Mapping (2019) |
2022. "'https://data.cnra.ca.gov/dataset/statewide-crop-mapping' rel='nofollow ugc'>2019 California Statewide Crop Mapping." California Department of Water Resources. https://data.cnra.ca.gov/dataset/statewide-crop-mapping |
The footprint is used as part of the mask for the CEC Cropland Index Model’s domain of analysis for the Core and SB 100 Terrestrial Climate Resilience Screens for solar resource potential |
In 2021, sports brand Nike gained the highest score among fashion brands in the Social Index. Nike's high score indicates a high volume of brand-related conversations and a high ratio of positive mentions in these conversations. It was followed by Gucci and Adidas which both scored over ** thousand points.
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Index list to analyze size, style, and sector effects.
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South Africa Index: FTSE/JSE: All Share Style Growth data was reported at 591.118 02Jan2002=100 in Nov 2018. This records an increase from the previous number of 590.045 02Jan2002=100 for Oct 2018. South Africa Index: FTSE/JSE: All Share Style Growth data is updated monthly, averaging 325.790 02Jan2002=100 from Oct 2004 (Median) to Nov 2018, with 170 observations. The data reached an all-time high of 711.997 02Jan2002=100 in Nov 2017 and a record low of 119.420 02Jan2002=100 in Oct 2004. South Africa Index: FTSE/JSE: All Share Style Growth data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.
Includes the URLs for all collar on and collar off products within the Topo Index map sheets.
This is the most updated version for GeoPDF Topo Index. If there is any further query, please contact Spatial Services Customer Hub (https://customerhub.spatial.nsw.gov.au/servicedesk/customer/portals).
Metadata
Content Title | Topo Map Index |
Content Type | Hosted Feature Layer |
Description | Includes the URLs for all collar on and collar off products within the Topo Index Map sheets |
Initial Publication Date | 13/12/2023 |
Data Currency | 13/12/2023 |
Data Update Frequency | Yearly |
Content Source | API |
File Type | ESRI Shapefile (*.shp) |
Attribution | |
Data Theme, Classification or Relationship to other Datasets | |
Accuracy | |
Spatial Reference System (dataset) | WGS84 |
Spatial Reference System (web service) | EPSG:4326 |
WGS84 Equivalent To | GDA94 |
Spatial Extent | |
Content Lineage | |
Data Classification | Unclassified |
Data Access Policy | Open |
Data Quality | |
Terms and Conditions | Creative Commons |
Standard and Specification | |
Data Custodian | DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795 |
Point of Contact | Please contact us via the Spatial Services Customer Hub |
Data Aggregator | |
Data Distributor | |
Additional Supporting Information | |
TRIM Number |
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Hong Kong Composite Consumer Price Index (CPI): Weights: AT: Foreign-Style Winess data was reported at 0.100 % in Dec 2016. This stayed constant from the previous number of 0.100 % for Nov 2016. Hong Kong Composite Consumer Price Index (CPI): Weights: AT: Foreign-Style Winess data is updated monthly, averaging 0.100 % from Oct 2004 (Median) to Dec 2016, with 147 observations. The data reached an all-time high of 0.100 % in Dec 2016 and a record low of 0.100 % in Dec 2016. Hong Kong Composite Consumer Price Index (CPI): Weights: AT: Foreign-Style Winess data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I006: Composite Consumer Price Index: 10/09-9/10=100: Weights.
In June 2024, the ifo business climate index for the German fashion trade showed -38.4 points. The shoe trade indicator was -44.9 points. What is the ifo Business Climate? The ifo Business Climate is an indicator for economic activity in Germany. It is based on approximately 9,000 monthly responses from businesses in manufacturing, the service sector, trade, and construction. Companies are asked to give their assessments of the current business situation and their expectations for the next six months. They can describe their situation as “good,” “satisfactory,” or “poor” and their business expectations for the next six months as “more favorable,” “unchanged,” or “less favorable.” The balance value of the current business situation is the difference in the percentage shares of the responses “good” and “poor”; the balance value of expectations is the difference in the percentage shares of the responses “more favorable” and “less favorable.” The business climate is a transformed mean of the balances of the business situation and the expectations. To calculate the index values, the transformed balances are all normalized to the average for the year 2015.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 377.63(USD Billion) |
MARKET SIZE 2024 | 401.23(USD Billion) |
MARKET SIZE 2032 | 651.97(USD Billion) |
SEGMENTS COVERED | Investment Objective ,Asset Class ,Index Provider ,Investment Style ,Investor Profile ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Increased demand for alternative investments Growing popularity of passive investing Rise in commodity prices Geopolitical uncertainty Technological advancements |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | iShares MSCI Commodity Swap Index Fund ,Rogers International Commodity Index ,S&P GSCI ,MSCI Commodity Index ,UBS Bloomberg Constant Maturity Commodity Index ,PowerShares DB Commodity Tracking Fund ,Bloomberg Commodity Index ,DB Commodity Index ,Solactive Commodity Index ,Thomson Reuters/CoreCommodity CRB Index ,Invesco DB Commodity Index Tracking Fund ,CRB Commodity Index ,Dow Jones Commodity Index ,ETFS Physical Swiss Gold Shares ,WisdomTree Enhanced Commodity Tracking Fund |
MARKET FORECAST PERIOD | 2024 - 2032 |
KEY MARKET OPPORTUNITIES | Growing demand for diversification Increased investor interest in commodities Technological advancements |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 6.25% (2024 - 2032) |
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China YiWu Small Commodity Price Index: Apparel & Accessory: Fashion data was reported at 99.870 Jul2006=100 in 22 Jul 2024. This records a decrease from the previous number of 99.880 Jul2006=100 for 15 Jul 2024. China YiWu Small Commodity Price Index: Apparel & Accessory: Fashion data is updated daily, averaging 100.420 Jul2006=100 from Sep 2006 (Median) to 22 Jul 2024, with 869 observations. The data reached an all-time high of 112.800 Jul2006=100 in 19 Nov 2007 and a record low of 88.580 Jul2006=100 in 03 Nov 2008. China YiWu Small Commodity Price Index: Apparel & Accessory: Fashion data remains active status in CEIC and is reported by Yiwu City Government. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OQ: YiWu Small Commodity Price Index: Weekly.
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Dataset allows to determine the number of days when the air quality is considered to be "good" to "extremely bad", based on the new ATMO index as of January 1, 2021.
The ATMO index was revised and adopted by the Ministry of Ecological Transition on January 1, 2021.
The ATMO index incorporates the main regulated air pollutants, tracers of transport, urban and industrial activities PM10, PM2.5, nitrogen dioxide, ozone, sulfur dioxide.< o:p>
It comes in six qualifiers defined according to different classes for these five pollutants: "good", "medium", "degraded", "bad", "very bad", "extremely bad".
For each pollutant, a sub-index is calculated. Each sub-index is determined each day from the maximum levels of the pollutant considered. This is the maximum sub-index that constitutes the final ATMO index characterizing the overall air quality for the day in question.
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The data provider is Airparif >> Index History | Airparif
Link Paris.fr >> Air and sound environment - City of Paris; Air quality status in Paris - City of Paris
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Key information about Peru General
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