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Allopathy Drugs India 2022

Patient Health Records & Digital Health

Tags and Keywords

Health

Medicine

India

Drugs

Pricing

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Allopathy Drugs India 2022 Dataset on Opendatabay data marketplace

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About

This dataset provides extensive details on over 250,000 allopathic medicines available in India, including their compositions, types, market availability, and pricing. It features data from more than 7,600 pharmaceutical companies, such as Sun Pharmaceutical Industries, Torrent Pharma, Glenmark Pharma Limited, Emcure Pharmaceuticals, Cipla Limited, Zydus Lifesciences Limited (formerly Cadila Healthcare), Abbott India Ltd., Alkem Laboratories, Lupin Limited, and Piramal Enterprises Limited. The prices and availability information were recorded as of November 2022, and the dataset is updated annually. It is a valuable resource for research into the Indian pharmaceutical market.

Columns

  • id: A unique identifier for each medicine entry, used to track the count of records.
  • name: The market name of the medicine. This dataset contains nearly 250,000 unique medicine names.
  • price(₹): The price of the medicine in the Indian market, as reported in November 2022. Prices range from ₹0 to over ₹436,000.
  • Is_discontinued: A boolean indicator showing whether the medicine was available for purchase as of November 2022. Approximately 3% of medicines were discontinued at that time.
  • manufacturer_name: The name of the pharmaceutical company responsible for producing the medicine. There are over 7,600 unique manufacturers listed.
  • type: The classification of the medicine, with all entries currently listed as 'allopathy'.
  • pack_size_label: Describes the quantity and form of the medicine, such as "strip of 10 tablets" or "vial of 1 Injection".
  • short_composition1: The primary chemical composition used in the medicine, for example, "Aceclofenac (100mg)".
  • short_composition2: Any secondary chemical composition used in conjunction with the first. About 56% of entries do not have a second composition listed.

Distribution

The dataset is provided as a CSV file, named A_Z_medicines_dataset_of_India.csv, and has a size of 32.06 MB. It comprises over 254,000 records, each containing details across 9 distinct columns.

Usage

This dataset is ideal for:
  • Market Research: Analysing pricing trends and availability of allopathic medicines in India.
  • Pharmaceutical Analysis: Investigating medicine compositions, manufacturer distribution, and market presence.
  • Healthcare Policy: Understanding the landscape of medicine availability and pricing to inform policy decisions.
  • Supply Chain Optimisation: Identifying currently available or discontinued medicines to manage inventory and distribution.

Coverage

The dataset's geographic scope is India, detailing allopathic medicines available in the Indian market. The time range for pricing and availability information is specifically November 2022. The dataset is updated on an annual basis, ensuring that information remains relevant over time. There are no specific notes on demographic scope, as the data pertains to medicines themselves.

License

CC BY-SA 4.0

Who Can Use It

  • Market Researchers: To study the dynamics of the Indian pharmaceutical sector.
  • Data Scientists and Analysts: For developing predictive models on medicine availability or pricing.
  • Pharmaceutical Companies: For competitive analysis and product strategy.
  • Healthcare Professionals and Organisations: To gain insights into drug availability and cost.
  • Academics and Students: For research projects related to public health and pharmacy in India.

Dataset Name Suggestions

  • Indian Allopathic Medicine Data
  • India Pharma Price and Availability
  • Medicines in India: A-Z Dataset
  • Allopathy Drugs India 2022

Attributes

Original Data Source: Allopathy Drugs India 2022

Listing Stats

VIEWS

3

DOWNLOADS

4

LISTED

27/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format