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Retail Tobacco Pricing in Africa
Public Health & Epidemiology
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About
This dataset provides a collection of cigarette prices gathered from retail outlets and street vendors across various African countries. Its primary purpose is to enable researchers to analyse and make estimations about price differences for cigarettes in these regions, considering factors such as brand, urban versus rural settlements, and changes over time. The data is particularly valuable for public health studies, retail analysis, and understanding market dynamics within Africa.
Columns
- Store_ID: An identifier for the retail outlet or vendor where the data was collected.
- ID: A unique identifier for each record.
- Round: Denotes the specific data collection round.
- Fieldworker_Code: An identifier for the individual fieldworker who collected the data.
- Country: The country where the cigarette price data was recorded.
- Currency: The local currency used for the reported price.
- Day: The day of the month when the data was collected.
- Month: The month when the data was collected.
- Year: The year when the data was collected.
- Date: The exact date of data collection.
- Province: The province within the country where the data was collected (e.g., Khomas, Harare).
- City: The city where the data was collected (e.g., Maseru, Windhoek).
- Suburb: The specific suburb or area within the city (e.g., Town, CBD).
- Outlet_Type: Categorisation of the sales point, such as 'Retail' or 'Street Vendor'.
- Retail_Subtype: A more specific categorisation for retail outlets, including 'Grocery Store' or 'Not Applicable'.
- Outlet_Name: The name of the outlet, often redacted.
- Product: The type of product, predominantly 'Cigarettes', but also includes 'Hookah Tobacco'.
- Brand: The brand of the cigarette product (e.g., Peter Stuyvesant, Dunhill).
- Sub_Brand: Further specification of the brand, such as 'Menthol' or 'Blue'.
- Quantity: The quantity of the product associated with the price.
- Unusual_Quantity_Flg: A flag indicating if the quantity recorded is unusual.
- Local_Price: The price of the product in local currency.
- Local_Price_Per_Stick_Cigarette: The price per cigarette stick in local currency.
- Dollar_Exchange_Rate: The exchange rate to the US dollar at the time of data collection.
- Dollar_Price: The price of the product converted to US dollars.
- Dollar_Price_Per_Stick_Cigarett: The price per cigarette stick converted to US dollars.
- Dollar_Price_Pack_Cigarettes: The price of a pack of cigarettes converted to US dollars.
- Fieldworker_Comment: Any comments provided by the fieldworker, often null or related to grams.
- Data_Cleaner_Comment: Comments from data cleaners, such as notes on exchange rate sources.
Distribution
The dataset is provided in a CSV format, with a file size of 45.92 MB. It contains 28 columns and approximately 215,000 valid records for most variables. Some variables may have slightly fewer valid entries or a small percentage of missing values. The data spans multiple collection rounds.
Usage
This dataset is ideal for:
- Researchers: To analyse cigarette price disparities across different African countries, brands, and types of settlements (urban/rural).
- Public Health Analysts: For studies on tobacco control policies, affordability of cigarettes, and their potential impact on public health initiatives.
- Economists: To examine market pricing strategies, inflation, and purchasing power in the context of tobacco products in Africa.
- Market Researchers: To understand pricing structures, brand prevalence, and sales channels (retail vs. street vendors) within the African tobacco market.
Coverage
The study includes data from several African countries, specifically: Botswana, Cameroon, Chad, Eswatini, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mauritius, Mozambique, Namibia, Nigeria, South Africa, Tanzania, Uganda, Zambia, and Zimbabwe. It is noted that not all countries are covered in every data collection round. The data collection period spans from 2016 to 2022, with specific dates ranging from 14 January 2016 to 16 August 2022. The most common country represented is South Africa.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Academics and Researchers: Studying economics, public health, sociology, and African studies.
- Government Agencies: Involved in tobacco control, public health policy, and economic regulation.
- Non-governmental Organisations (NGOs): Working on health advocacy and anti-smoking campaigns.
- Market Analysts: Interested in consumer behaviour and pricing strategies within the African tobacco sector.
Dataset Name Suggestions
- African Cigarette Price Insights
- Retail Tobacco Pricing in Africa
- Africa Cigarette Market Data
- African Tobacco Price Observatory
- Sub-Saharan Cigarette Prices
Attributes
Original Data Source:Retail Tobacco Pricing in Africa
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