Have you ever wondered what people with higher incomes spend their money on?
Do they shop on the same platforms as the rest of us, or do their preferences
tell a different story?
Thanks to a dataset from the Harvard Dataverse, we can dive into these questions.
The dataset tracks longitudinal purchase data from 5,027 Amazon.com users in the U.S.,
spanning from 2018 to 2022.
Analyzing this data might just challenge your assumptions about how income shapes
lifestyles and shopping habits.
This dataset categorizes individuals into different income brackets:
Less than $25,000
25,000−49,999
50,000−74,999
75,000−99,999
100,000−149,999
$150,000 or more
$150,000 or more
Home and Kitchen
$100,000 - $149,999
Electronics
$75,000 - $99,999
Beauty and Personal Care
$50,000 - $74,999
Clothing, Shoes, and Jewelry
$25,000 - $49,999
Food
Pet Supplies
Books
Less than $25,000
Sports and Outdoors
Toys and Games
Office Product
$150,000 or more
$150,000 or more
Home and Kitchen
$100,000 - $149,999
Electronics
$75,000 - $99,999
Beauty and Personal Care
$50,000 - $74,999
Clothing, Shoes, and Jewelry
$25,000 - $49,999
Food
Pet Supplies
Books
Less than $25,000
Sports and Outdoors
Toys and Games
Office Product
$150,000 or more
Home and Kitchen
$100,000 - $149,999
Electronics
$75,000 - $99,999
Beauty and Personal Care
$50,000 - $74,999
Clothing, Shoes, and Jewelry
$25,000 - $49,999
Food
Pet Supplies
Books
Less than $25,000
Sports and Outdoors
Toys and Games
Office Product
$100,000 - $149,999
$150,000 or more
$25,000 - $49,999
$50,000 - $74,999
$75,000 - $99,999
Less than $25,000
Beauty and Personal Care
Books
Clothing, Shoes, and
Jewelry
Electronics
Food
Home and Kitchen
Office Product
Pet Supplies
Sports and Outdoors
Toys and Games
0
$100,000 - $149,999
$150,000 or more
$25,000 - $49,999
$50,000 - $74,999
$75,000 - $99,999
Less than $25,000
Beauty and Personal Care
Books
Clothing, Shoes, and
Jewelry
Electronics
Food
Home and Kitchen
Office Product
Pet Supplies
Sports and Outdoors
Toys and Games
0
$100,000 - $149,999
$150,000 or more
$25,000 - $49,999
$50,000 - $74,999
$75,000 - $99,999
Less than $25,000
Beauty and Personal Care
Books
Clothing, Shoes, and
Jewelry
Electronics
Food
Home and Kitchen
Office Product
Pet Supplies
Sports and Outdoors
Toys and Games
0
To compare their purchasing patterns, I took the following steps:
Consolidated over 1,000 product titles into 10 broader categories for easier analysis.
Calculated the total number of orders within each category, grouped by income level.
Normalized the data by dividing the total orders by the number of people in each income
group to ensure a fair comparison.
Office Product
Clothing, Shoes, and Jewelry
Beauty and Personal Care
Food
Electronics
Beauty and
Personal Care
Sports and Outdoors
Toys and Games
Books
Home and Kitchen
Pet Supplies
Office Product
Pet Supplies
Home and Kitchen
Books
Clothing, Shoes,
and Jewelry
Food
Electronics
Sports and
Outdoors
Toys and
Games
Office Product
Clothing, Shoes, and Jewelry
Beauty and Personal Care
Food
Electronics
Beauty and
Personal Care
Sports and Outdoors
Toys and Games
Books
Home and Kitchen
Pet Supplies
Office Product
Pet Supplies
Home and Kitchen
Books
Clothing, Shoes,
Food
and Jewelry
Electronics
Sports and
Outdoors
Toys and
Games
Office Product
Clothing, Shoes, and Jewelry
Beauty and Personal Care
Sports and Outdoors
Toys and Games
Books
Home and Kitchen
Pet Supplies
Food
Electronics
Food
Electronics
Beauty and
Personal Care
Lorem ipsum
Pet Supplies
Office Product
Home and Kitchen
Books
Clothing, Shoes,
and Jewelry
Sports and
Outdoors
Toys and
Games
ipsum
Electronics
Home and Kitchen
Home and Kitchen
Electronics
ipsum
Electronics
Home and Kitchen
Home and Kitchen
Electronics
Home and Kitchen
Electronics
ipsum
Electronics
Home and Kitchen
Interestingly, the differences among the income levels in the patterns may not as big as you would imagine.
People with lower income (left: below $25,000 per year) has almost the same preferences with that of higher income groups (right: $150,000 or more).
Electronics and Home and Kitchen are the most popular choices among all income lovels.
Few variations are observed acorss different income levels.
For example, regardless of income level, people are more likely to buy electronics and home and kitchen products on Amazon.
This uniform purchasing behavior across income levels suggests Amazon's successful market strategy in creating a universal shopping platform that appeals to all income brackets.
In addition, the data shows that people not only exhibit similar patterns in purchasing
frequencies across different income levels but also share comparable total expenditure
patterns across categories. This suggests that income level may not be the primary factor
influencing people's purchasing behavior.
Amazon App
What's more interesting, with a range of age from 18 to 65, the data shows that people of
different age groups have similar purchasing behavior patterns regarless of their age.
When categorizing the products, this article used the broad categories provided by Amazon. This might suggest that Amazon has crafted its target audience very effectively.