Saree Retailers Database in India

Accurate Up-to-Date Data for All Types of Business Purposes

By Amresh [source]

About this dataset

This All India Saree Retailers Database is a comprehensive collection of up-to-date information on 10,000 Saree Retailers located all over India. The database is updated in April 2021 and offers an overall accuracy rate of around 90%.

For business owners, marketers, and data analysts and researchers, this dataset is an invaluable resource. It contains contact details of store name, contact person names, phone number and email address along with store location information like city state and pin code to help you target the right audience precisely.

The database can be accessed in Microsoft Excel (.xlsx) format which makes it easy to read or manipulate the file according to your needs. Apart from this wide range of payment options like Credit/Debit Card; Online Transfer; NEFT; Cash Deposit; Paytm; PhonePe; Google Pay or PayPal allow quick download access within 2-3 business hours.

So if you are looking for reliable business intelligence data related to Indian saree retailers that can help you unlock incredible opportunities for your business then make sure to download our All India Saree Retailers Database at the earliest!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a comprehensive list of Saree retailers in India, including store name, contact person, email address, mobile number, phone number, address details like city and state along with pin code. It contains 10 thousand records updated in April 2021 with an overall accuracy rate of around 90%. This data can be used to understand customer behaviour as well as to analyse geographical customer pattern.

Using this dataset you can: - Target specific states or cities where potential customers are located for your Saree business. - Get in touch with local Saree retailers for possible collaborations and partnerships. - Learn more about industry trends from actual store owners who can offer insights into the latest ongoing trends and identify new opportunities for you to grow your business. 4 .Analyse existing competitors’ market share by studying the cities/states where they operate and their contact information such as Mobile Number & Email Ids .
5 .Identify potential new customers for better sales conversion rates by understanding who is already operating in similar products nearby or have similar target audience as yours that help your company reach out to them quickly & effectively using direct marketing techniques such as emails & SMS etc.,

Research Ideas

• Creating targeted email campaigns to increase Saree sales: The dataset can be used to create targeted email campaigns that can reach the 10,000 Saree Retailers in India. This will allow businesses to increase sales by directing their message about promotions and discounts directly to potential customers.
• Customizing online product recommendations for each retailer: The dataset can be used to identify the specific products that each individual retailer is interested in selling, so product recommendations on an e-commerce website could be tailored accordingly. This would optimize customer experience giving them more accurate and relevant results when searching for a particular item they are looking for while shopping online.
• Using GPS technology to generate location-based marketing campaigns: By creating geo-fenced areas around each store using the pin code database, it would be possible to send out marketing messages based on people's physical location instead of just sending them out in certain neighborhoods or cities without regard for store locations within those areas. This could help reach specific customers with relevant messages about products or promotions that may interested them more effectively than a standard marketing campaign with no location targeting involved

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: 301-Saree-Garment-Retailer-Database-Sample.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Amresh.

Retail Price: DOAC: Suji: Karnataka: Tumkur data was reported at 40.000 INR/kg in Mar 2023. This stayed constant from the previous number of 40.000 INR/kg for Feb 2023. Retail Price: DOAC: Suji: Karnataka: Tumkur data is updated monthly, averaging 30.000 INR/kg from Jan 2005 (Median) to Mar 2023, with 141 observations. The data reached an all-time high of 40.000 INR/kg in Mar 2023 and a record low of 14.000 INR/kg in May 2006. Retail Price: DOAC: Suji: Karnataka: Tumkur data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Suji.

Success.ai’s Retail Data for Retail Professionals in APAC offers a comprehensive and accurate dataset tailored for businesses and organizations aiming to connect with key players in the retail industry across the Asia-Pacific region. Covering roles such as retail managers, merchandisers, supply chain specialists, and executives, this dataset provides verified LinkedIn profiles, work emails, and professional histories.

With access to over 700 million verified global profiles, Success.ai ensures your outreach, marketing, and collaboration strategies are powered by continuously updated, AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in the dynamic and competitive APAC retail market.

Why Choose Success.ai’s Retail Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of retail professionals across APAC.
   • AI-driven validation ensures 99% accuracy, reducing inefficiencies and boosting engagement outcomes.

2. Comprehensive Coverage of APAC’s Retail Sector

   • Includes professionals from key retail hubs such as China, Japan, South Korea, India, Australia, and Southeast Asia.
   • Gain insights into market trends, consumer behavior, and retail innovations unique to the APAC region.

3. Continuously Updated Datasets

   • Real-time updates capture changes in roles, organizations, and industry dynamics.
   • Stay aligned with evolving trends and capitalize on emerging opportunities in the retail sector.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access detailed retail data for professionals and organizations across the APAC region.
• Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precise targeting.
• Professional Histories: Understand career trajectories, areas of expertise, and contributions to the retail sector.
• Regional Insights: Leverage actionable data on consumer preferences, supply chain challenges, and market trends.

Key Features of the Dataset:

1. Comprehensive Retail Professional Profiles

   • Identify and connect with professionals managing retail operations, merchandising, supply chains, and customer engagement strategies.
   • Target decision-makers involved in e-commerce, brick-and-mortar retail, and omnichannel strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (fashion, electronics, grocery), geographic location, or job function.
   • Tailor campaigns to align with specific business needs, such as technology adoption, marketing strategies, or vendor partnerships.

3. Regional and Industry-specific Insights

   • Leverage data on APAC’s retail trends, consumer purchasing patterns, and logistics challenges.
   • Refine strategies to align with unique market dynamics and customer expectations.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Outreach

   • Promote retail technology solutions, marketing tools, or supply chain services to retail professionals in the APAC region.
   • Use verified contact data for multi-channel outreach, including email, phone, and LinkedIn campaigns.

2. Partnership Development and Collaboration

   • Build relationships with retail chains, e-commerce platforms, and logistics providers seeking strategic partnerships.
   • Foster collaborations that enhance customer experiences, expand distribution networks, or improve operational efficiencies.

3. Market Research and Competitive Analysis

   • Analyze regional retail trends, consumer behavior, and supply chain innovations to refine product offerings and business strategies.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the retail industry recruiting for roles in merchandising, operations, and digital transformation.
   • Provide workforce optimization platforms or training solutions tailored to the retail sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing, sales, and business outreach efforts.

2. Seamless Integration

   • Integrate verified retail data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost conv...

India Private Corporate: RBI: Wholesale and Retail Trade: Share in Sales data was reported at 3.670 % in Dec 2018. This records an increase from the previous number of 3.569 % for Sep 2018. India Private Corporate: RBI: Wholesale and Retail Trade: Share in Sales data is updated quarterly, averaging 2.700 % from Dec 2011 (Median) to Dec 2018, with 29 observations. The data reached an all-time high of 3.670 % in Dec 2018 and a record low of 1.940 % in Mar 2017. India Private Corporate: RBI: Wholesale and Retail Trade: Share in Sales data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Investment – Table IN.OD045: Private Corporate: Reserve Bank of India: Growth: Industry: Wholesale and Retail Trade.

India Employment: Public: Wholesale and Retail Trade, etc. data was reported at 171.000 Person th in 2012. This records an increase from the previous number of 170.000 Person th for 2011. India Employment: Public: Wholesale and Retail Trade, etc. data is updated yearly, averaging 162.000 Person th from Mar 1982 (Median) to 2012, with 31 observations. The data reached an all-time high of 184.000 Person th in 2005 and a record low of 117.000 Person th in 1982. India Employment: Public: Wholesale and Retail Trade, etc. data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.GBA001: Employment.

Snapshot img

India Grocery Market Size 2025-2029

The india grocery market size is valued to increase by USD 352.8 billion, at a CAGR of 8.5% from 2024 to 2029. Rapid growth in m-commerce will drive the india grocery market.

Major Market Trends & Insights

By Platform - Offline segment was valued at USD 433.40 billion in 2022
By Product - Food grains segment accounted for the largest market revenue share in 2022
CAGR from 2024 to 2029 : 8.5%

Market Summary

The Indian grocery market is characterized by its dynamic nature and increasing complexity, driven by shifting consumer preferences and technological advancements. The sector's growth is fueled by the expanding middle class, urbanization, and the rise of e-commerce platforms. Functional foods and beverages, catering to health-conscious consumers, are gaining significant traction. Despite the convenience and time-saving benefits of online grocery shopping, end-users exhibit mixed perceptions. Some appreciate the ease and selection offered, while others express concerns over quality, trust, and logistical challenges. As a result, traditional brick-and-mortar stores continue to dominate the market, but e-commerce players are making inroads through strategic partnerships and innovative offerings. Innovative technologies like artificial intelligence, machine learning, and automation are being employed to streamline operations, enhance customer experience, and improve supply chain efficiency. The sector's future direction lies in seamless omnichannel experiences, personalized offerings, and a focus on sustainability and ethical sourcing. The Indian grocery market is poised for continued evolution, presenting both opportunities and challenges for businesses.

What will be the Size of the India Grocery Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Grocery in India Market Segmented ?

The grocery in india industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. PlatformOfflineOnlineProductFood grainsBread bakery and dairy productsFruits and vegetablesPersonal careOthersMethodOnline paymentsCash on deliveryGeographyAPACIndia

By Platform Insights

The offline segment is estimated to witness significant growth during the forecast period.

In India's dynamic grocery market, the organized retail sector, including supermarkets and hypermarkets, is experiencing significant growth. These distribution channels, which accommodate vast shelf spaces and storage areas, cater to consumers' increasing preference for a diverse range of grocery products and trusted brands. Supermarkets and hypermarkets, with their one-stop shopping experience, offer consumers the convenience of accessing various product categories under a single roof, a luxury not typically available in small shops. Moreover, these retailers employ various strategies to boost sales, such as discounts, loyalty programs, and promotional offers. As of 2021, organized retail accounts for approximately 22% of the overall the market, and this number is expected to rise as consumers continue to embrace the benefits of modern retail technology solutions, such as online grocery delivery, data analytics dashboards, and pricing strategies software. Additionally, retailers are focusing on improving supply chain visibility, cold chain logistics, and warehouse management systems to reduce food waste and ensure food safety regulations are met. The integration of retail analytics software, product traceability systems, and sustainable packaging practices further enhances the shopping experience while promoting efficiency and transparency.

Request Free Sample

The Offline segment was valued at USD 433.40 billion in 2019 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

The Indian grocery market is witnessing significant transformation as technology, data analytics, and sustainable practices reshape the industry landscape. With the impact of technology on grocery retail gaining momentum, Indian retailers are embracing digital solutions to enhance efficiency and customer experience. One such area of focus is the role of data analytics in grocery retail, which is enabling retailers to gain valuable insights into consumer behavior and optimize their operations. In the realm of perishable goods, efficient cold chain solutions are essential to maintain product quality and reduce wastage. Improving grocery supply chain visibility and optimizing las

India Employment: Private: Wholesale and Retail Trade, etc. data was reported at 599.000 Person th in 2012. This records an increase from the previous number of 546.000 Person th for 2011. India Employment: Private: Wholesale and Retail Trade, etc. data is updated yearly, averaging 317.000 Person th from Mar 1982 (Median) to 2012, with 31 observations. The data reached an all-time high of 599.000 Person th in 2012 and a record low of 272.000 Person th in 2008. India Employment: Private: Wholesale and Retail Trade, etc. data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.GBA001: Employment.

Snapshot img

India Online Fashion Retail Market Size 2025-2029

The India online fashion retail market size is forecast to increase by USD 36.01 billion, at a CAGR of 22.2% between 2024 and 2029.

Major Market Trends & Insights

By Product - Apparel segment was valued at USD 8.26 billion in 2022
By Gender - Women segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 314.31 billion
Market Future Opportunities: USD 36.01 billion 
CAGR : 22.2%

Market Summary

The market has witnessed significant growth, fueled by the increasing adoption of digital technologies and the rise in internet and smartphone penetration. According to recent reports, India's online fashion market is projected to reach USD 35 billion by 2025, growing at a steady pace. This expansion is driven by the convenience and accessibility offered by e-commerce platforms, which allow consumers to shop from the comfort of their homes. Moreover, the presence of various payment options, including credit/debit cards, digital wallets, and cash on delivery, has further boosted the market's growth. In contrast, traditional brick-and-mortar stores face challenges such as high rental costs and limited product offerings, making e-commerce an attractive alternative.
The fashion industry's online segment includes various categories, such as apparel, footwear, and accessories, with apparel being the largest and fastest-growing segment. As the market continues to evolve, we can expect to see increased competition, innovative marketing strategies, and personalized shopping experiences.

What will be the size of the India Online Fashion Retail Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

The market exhibits a significant presence in the country's burgeoning e-commerce sector. According to recent estimates, the market currently accounts for over 3% of India's total retail sector, with a growth rate of approximately 25% year-on-year. Looking forward, this figure is projected to reach nearly 5% by 2025. A comparison of key performance indicators reveals that online fashion retailers in India have achieved impressive customer engagement. For instance, the average customer lifetime value stands at INR 25,000, while the conversion rate for mobile commerce reaches 35%. Furthermore, the market's growth is driven by factors such as increasing internet penetration, improving digital infrastructure, and the rising popularity of social commerce.
In terms of competition, players in the online fashion retail space continue to invest in various strategies to differentiate themselves. These include website traffic analysis, customer segmentation models, and personalization algorithms, among others. Despite challenges such as payment processing fees, e-commerce logistics, and returns and exchanges, the market's potential for growth remains strong. In conclusion, the market presents a compelling opportunity for businesses looking to expand their reach and capitalize on the country's growing digital economy. With a projected growth rate of 25% year-on-year and a customer lifetime value of INR 25,000, the market's potential for revenue generation is significant.
Furthermore, the increasing popularity of mobile commerce and social commerce trends underscores the importance of a robust digital presence for fashion retailers.

How is this India Online Fashion Retail Market segmented?

The online fashion retail in India industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Apparel
  Footwear
  Bags and accessories


Gender

  Women
  Men
  Children


Price Range

  Economy
  Mid-Range
  Premium


Platform

  Mobile Apps
  Web Portals


Geography

  APAC

    India

By Product Insights

The apparel segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving online fashion retail landscape in India, the apparel segment experiences consistent growth. Consumers prioritize fashionable and comfortable clothing, driving retailers to cater to diverse consumer segments. The market encompasses a wide range of clothing categories for men, women, children, and infants. Top wear apparel, including tops, blouses, dresses, casual shirts, formal shirts, T-shirts, sweaters, sweatshirts, tank tops, and vests, currently accounts for a significant market share. Meanwhile, bottom wear, consisting of trousers, jeans, jeggings, pants, shorts, and skirts, also experiences steady demand. Intimates and sleepwear, such as pajamas, bathrobes, shapewear, slips, socks, underwear, and briefs, are essential categories that cater to consumers' daily needs.

Children's and inf

India Credit Transfers: Retail: Volume data was reported at 20,200.861 Unit mn in Mar 2025. This records an increase from the previous number of 17,739.461 Unit mn for Feb 2025. India Credit Transfers: Retail: Volume data is updated monthly, averaging 7,467.364 Unit mn from Nov 2019 (Median) to Mar 2025, with 65 observations. The data reached an all-time high of 20,200.861 Unit mn in Mar 2025 and a record low of 1,795.071 Unit mn in Apr 2020. India Credit Transfers: Retail: Volume data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI008: Credit Transfer: Retail.

Retail Price: DCA: Monthly Average: Loose Tea: All India data was reported at 208.890 INR/kg in Nov 2018. This records a decrease from the previous number of 210.650 INR/kg for Oct 2018. Retail Price: DCA: Monthly Average: Loose Tea: All India data is updated monthly, averaging 200.240 INR/kg from Jan 2009 (Median) to Nov 2018, with 119 observations. The data reached an all-time high of 212.260 INR/kg in Sep 2014 and a record low of 155.660 INR/kg in Jan 2009. Retail Price: DCA: Monthly Average: Loose Tea: All India data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PB054: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Monthly Average: by Cities: Loose Tea.

India NPCI: Retail Payments: Volume data was reported at 4,022.159 Unit mn in Jul 2020. This records an increase from the previous number of 3,773.292 Unit mn for Jun 2020. India NPCI: Retail Payments: Volume data is updated monthly, averaging 1,560.692 Unit mn from Apr 2016 (Median) to Jul 2020, with 52 observations. The data reached an all-time high of 4,152.115 Unit mn in Jan 2020 and a record low of 635.188 Unit mn in May 2016. India NPCI: Retail Payments: Volume data remains active status in CEIC and is reported by National Payments Corporation of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI029: Retail Payments: National Payments Corporation of India Operated.

India Retail Price: DCA: Daily: Atta: Modal Price data was reported at 22.000 INR/kg in 30 Nov 2018. This stayed constant from the previous number of 22.000 INR/kg for 29 Nov 2018. India Retail Price: DCA: Daily: Atta: Modal Price data is updated daily, averaging 21.000 INR/kg from Jan 2010 (Median) to 30 Nov 2018, with 2565 observations. The data reached an all-time high of 30.000 INR/kg in 15 May 2016 and a record low of 14.000 INR/kg in 16 Jul 2010. India Retail Price: DCA: Daily: Atta: Modal Price data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PB003: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Daily: by Cities: Atta.

Retail Price: DCA: Monthly Average: Palm Oil: All India data was reported at 76.770 INR/kg in Nov 2018. This records a decrease from the previous number of 77.270 INR/kg for Oct 2018. Retail Price: DCA: Monthly Average: Palm Oil: All India data is updated monthly, averaging 67.290 INR/kg from Jan 2009 (Median) to Nov 2018, with 119 observations. The data reached an all-time high of 78.340 INR/kg in Jul 2018 and a record low of 44.000 INR/kg in Feb 2009. Retail Price: DCA: Monthly Average: Palm Oil: All India data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PB061: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Monthly Average: by Cities: Palm Oil.

Retail Price: DOAC: Detergent Powder: Nirma and Others: Assam: Dispur data was reported at 105.000 INR/kg in Nov 2010. This stayed constant from the previous number of 105.000 INR/kg for Oct 2010. Retail Price: DOAC: Detergent Powder: Nirma and Others: Assam: Dispur data is updated monthly, averaging 105.000 INR/kg from Aug 2005 (Median) to Nov 2010, with 27 observations. The data reached an all-time high of 107.000 INR/kg in Jul 2009 and a record low of 40.000 INR/kg in Feb 2006. Retail Price: DOAC: Detergent Powder: Nirma and Others: Assam: Dispur data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC: Retail Price: Department of Agriculture and Cooperation: Non Food: by Cities: Detergent Powder: Nirma and Others (Discontinued).

India Retail Price: DCA: Monthly Average: Potato: East Zone: Giridih data was reported at 15.000 INR/kg in Aug 2023. This records a decrease from the previous number of 16.620 INR/kg for Jul 2023. India Retail Price: DCA: Monthly Average: Potato: East Zone: Giridih data is updated monthly, averaging 14.830 INR/kg from Nov 2021 (Median) to Aug 2023, with 22 observations. The data reached an all-time high of 27.400 INR/kg in Nov 2021 and a record low of 12.610 INR/kg in Mar 2023. India Retail Price: DCA: Monthly Average: Potato: East Zone: Giridih data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PC: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Monthly Average: by Cities: Potato (Discontinued).

Retail Price: DOAC: Suji: Sikkim: Gangtok data was reported at 36.000 INR/kg in Apr 2016. This records an increase from the previous number of 24.000 INR/kg for Mar 2016. Retail Price: DOAC: Suji: Sikkim: Gangtok data is updated monthly, averaging 22.000 INR/kg from Nov 2013 (Median) to Apr 2016, with 23 observations. The data reached an all-time high of 40.000 INR/kg in Dec 2015 and a record low of 22.000 INR/kg in Feb 2015. Retail Price: DOAC: Suji: Sikkim: Gangtok data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Suji.

Retail Price: DOAC: Sugar: Uttar Pradesh: Agra data was reported at 43.000 INR/kg in Mar 2023. This records an increase from the previous number of 40.000 INR/kg for Feb 2023. Retail Price: DOAC: Sugar: Uttar Pradesh: Agra data is updated monthly, averaging 40.000 INR/kg from Jan 2005 (Median) to Mar 2023, with 160 observations. The data reached an all-time high of 47.000 INR/kg in Oct 2021 and a record low of 16.000 INR/kg in Sep 2007. Retail Price: DOAC: Sugar: Uttar Pradesh: Agra data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Sugar.

India Retail Price: Sugar: East Zone: Bhubaneshwar data was reported at 40.000 INR/kg in Nov 2018. This stayed constant from the previous number of 40.000 INR/kg for Oct 2018. India Retail Price: Sugar: East Zone: Bhubaneshwar data is updated monthly, averaging 26.000 INR/kg from Jan 2000 (Median) to Nov 2018, with 222 observations. The data reached an all-time high of 45.000 INR/kg in Sep 2017 and a record low of 14.000 INR/kg in Apr 2003. India Retail Price: Sugar: East Zone: Bhubaneshwar data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under Global Database’s India – Table IN.PB040: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Month End: by Cities: Sugar.

India Retail Price: DCA: Month End: Gram Dal: East Zone: Bhubaneshwar data was reported at 68.000 INR/kg in Nov 2018. This records an increase from the previous number of 62.000 INR/kg for Oct 2018. India Retail Price: DCA: Month End: Gram Dal: East Zone: Bhubaneshwar data is updated monthly, averaging 34.000 INR/kg from Jan 2000 (Median) to Nov 2018, with 221 observations. The data reached an all-time high of 135.000 INR/kg in Oct 2016 and a record low of 18.000 INR/kg in Jan 2000. India Retail Price: DCA: Month End: Gram Dal: East Zone: Bhubaneshwar data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PB026: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Month End: by Cities: Gram Dal.

India Retail Price: Atta: East Zone: Bhubaneshwar data was reported at 28.000 INR/kg in Nov 2018. This stayed constant from the previous number of 28.000 INR/kg for Oct 2018. India Retail Price: Atta: East Zone: Bhubaneshwar data is updated monthly, averaging 17.000 INR/kg from Jul 2003 (Median) to Nov 2018, with 181 observations. The data reached an all-time high of 28.000 INR/kg in Nov 2018 and a record low of 10.500 INR/kg in Jun 2005. India Retail Price: Atta: East Zone: Bhubaneshwar data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under Global Database’s India – Table IN.PB025: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Month End: by Cities: Atta.