A Datastory on meat consumption.
Meat consumption is a highly controversial topic in today’s society in terms of environmental, health, and ethical issues. This introduces different ways of consuming meat and divides people according to their behaviors such as vegan, vegetarian, occasional meat consumer, and people consuming large amounts of meats. In this data story, we will be telling you the tale of consumption behavior concerning meat and vegetables on the household level. If you are interested in knowing what the factors affecting meat consumption are or how meat consumption influences other aspects of our alimentation, this story is for you.
To tell our story, we will be using data collected over 2 years from frequent shoppers in the USA. It contains information about grocery shopping of 2500 households and demographic information of 800 of them. We will be particularly focusing on 51.000 food products and their 2,1 million transactions.
Transactions
Houselholds
Food products
Among all food-related transactions, 16% of them are products containing meat (seafood products are considered as a type of meat and include fish and other seafood). This number drops to 10% when we look at transactions for vegetables.
Among these transactions for meat products, 40% of them are for partially meat based-products (eg. meat sandwiches, bolognese, etc.). 36% of them are transactions related to red meat and 17% to white meat. We observe less seafood consumption consisting of only 7% of the transactions of meat products.
Does the meat and vegetable consumption vary in time? Are there any seasonal or monthly exceptions? This is the first question we will try to answer. To do so, let’s look at the number of transactions over the year for different types of food.
*The graph above normalizes the total number of transactions of each category to 12 so that the expected score per month is 1.
Monthly consumption of vegetables, red and white meat stays reasonably constant. However, we can observe interesting variations for certain types of foods.
For example, we have a peak for turkey around Thanksgiving and for pumpkin during Halloween. Moreover, people seem to buy more seafood during the winter.
Thus, preferences of people change seasonally or weekly (due to special holidays) for some specific products but time does not seem to affect their meat and vegetable consumption in general.
What about demographic factors? Are there any differences between men and women? Does the income of a household or age affect people’s preferences?
As we can see from the figure above, women and men tend to spend a very similar amount of money on all types of meat. However, women spend slightly more than men on vegetables. Let’s continue with age and income!