So, I wanted to learn their wealth-building habits.
Here are 7 ways the Swiss approach money to become richer than you:
Switzerland has the world's largest percentage of millionaires.
AND they have 1 billionaire for every 80,000 people.
What's the Swiss secret – is it all about banking and neutrality?
To start answering this question, here's an interview with some locals:
Before we dive in, here's the low-down:
• 14.9% of Swiss adults are millionaires
• That's nearly double the rate of the US (8.8%)
• Yet Switzerland isn't even in the top 10 for average income
So how do they do it?
It's all about some key mindset shifts – here's a clue:
They Rent for Life (& They Love It)
Shocking fact: Only 41% of Swiss own their homes.
In the US? It's 65%.
Swiss millennials aren't obsessed with buying houses.
Why? They invest the difference in high-yield assets instead. Meanwhile...
They Treat Saving Like a Bill
Most people save what's left after spending. The Swiss? They spend what's left after saving.
They automate 20-30% of their income into savings BEFORE touching it.
It's not about willpower. It's about systems.
But saving alone won't make you rich:
Swiss People Invest in Themselves
The average Swiss spends 5-10% of their income on education and skills.
Every year. They're not chasing degrees. They're after specific, high-value skills.
ChatGPT, Claude, and Gemini turn raw spreadsheets into actionable insights in seconds.
Here are 8 prompts that automated my entire analytics workflow ↓
1. Data Cleaning
Prompt:
"You are a ruthless data cleaner. I have this messy dataset [paste sample or describe/upload file]. Tasks:
1. Fix duplicates, missing values, inconsistent formatting (dates, currencies, text case). 2. Detect and flag outliers with reasoning. 3. Suggest new derived columns if useful (e.g., age from DOB, month/year splits). 4. Output: Cleaned version summary + Python/pandas code I can run myself + before/after comparison table."
2. Instant EDA Report
Prompt:
"Act as a senior data analyst. Analyze this dataset [upload/paste CSV snippet or full description]. Produce a full EDA report in markdown:
- Summary statistics
- Distribution plots descriptions (suggest viz types)
- Correlation heatmap insights
- Key trends/anomalies
- 3–5 business questions this data answers
- Keep it concise but actionable."