Area-level grocery purchases

For each geographic aggregation (LSOA, MSOA, Ward, Borough) we provide a file containing the aggregated information on food purchases, enriched with information coming from the census. Files are comma-separated and contain 202 columns in total. Fields include: area_id: identifier of the area weight: Weight of the average food product, in grams volume: Volume of the average drink product, in liters energy: Nutritional energy of the average product, in kcals energy_density: Concentration of calories in the area's average product, in kcals/gram {nutrient}: Weight of {nutrient} in the average product, in grams. Possible nutrients are: carbs, sugar, fat, saturated fat, protein, fibre. The count of carbs include sugars and the count of fats includes saturated fats energy_{nutrient}: Amount of energy from {nutrient} in the average product, in kcals h_nutrients_weight: Diversity (entropy) of nutrients weight h_nutrients_weight_norm: Diversity (entropy) of nutrients weight, normalized in [0,1] h_nutrients_calories: Diversity (entropy) of energy from nutrients h_nutrients_calories_norm. Diversity (entropy) of energy from nutrients, normalized in [0,1] f_{category}: Fraction of products of type {category} purchased. Possible categories are: beer, dairy, eggs, fats & oils, fish, fruit & veg, grains, red meat, poultry, readymade, sauces, soft drinks, spirits, sweets, tea & coffee, water, and wine. f_{category}_weight: Fraction of total product weight given by products of type {category} h_category: Diversity (entropy) of food product categories h_category_norm: Diversity (entropy) of food product categories, normalized in [0,1] h_category_weight: Diversity (entropy) of weight of food product categories h_category_weight_norm: Diversity (entropy) of weight of food product categories, normalized in [0,1]. representativeness_norm: The ratio between the number of unique customers in the area and the number of residents as measured by the census; values are min-max normalized in [0,1] across all areas transaction_days: Number of unique dates in which at least one purchase has been made by one of the residents in the area. num_transactions: Total number of products purchased by Clubcard owners who are resident in the area. man_day: Cumulative number of man-days of purchase (number of distinct days a customer has purchased something, summed all individual customers) population: Total population of residents in the area according to the 2015 census. male: Total male population in the area. female: Total female population in the area. age_0_17: Total number of residents between 0 and 17 years old age_18_64: Total number of residents between 18 and 64 years old. age_65+: Total number of residents aged 65 years or more. avg_age: Average age of residents according to the 2015 census area_sq_km: Surface of the area (km^2) people_per_sq_km: Population density per km^2 Where applicable, measures are accompanied with their standard deviation (fields with suffix _std), the 95% confidence interval for the mean (suffix _ci95), and the values of the 2.5th, 25th, 50th, 75th, and 97.5th percentiles (suffix _perc{value})