Data sources and assumptions
Living Cost Laboratory uses transparent scenario assumptions and user-entered inputs instead of claiming to operate a complete real-time cost database.
How to interpret site numbers
Numbers shown in examples are sample planning scenarios. They are designed to demonstrate decision logic, not to replace current market research, tax calculations, lease review, or professional advice.
| Category | How it is handled | User should verify |
|---|---|---|
| Salary | Scenario salary levels are used to demonstrate cash-flow comparison. | Actual offer, bonuses, benefits, deductions, and taxes. |
| Rent | Sample rent assumptions are used to show sensitivity. | Current listings, neighborhood, lease terms, utilities, and concessions. |
| Moving costs | Common categories are included: deposit, first rent, movers, travel, setup, buffer. | Quotes, timing, storage, temporary housing, and reimbursement policy. |
| City scenarios | Pages compare assumptions rather than claiming citywide precision. | Real household costs and current local market conditions. |
| Tax assumptions | Simplified effective tax rates are used for planning examples. | Official tax sources or professional advice. |
Update policy
When pages are updated, the goal is to improve scenario clarity, assumptions, internal links, and calculator behavior. The site should not be treated as a live government, legal, financial, or real-estate data source.
Why estimates are intentionally conservative
The site avoids presenting sample scenarios as precise market data because that would create false confidence. Cost-of-living decisions often become risky when a user assumes every input will stay favorable. For that reason, the site encourages three versions of any major decision: conservative, expected, and expensive.
| Scenario version | What it means | When to use it |
|---|---|---|
| Conservative | Higher rent, higher moving cost, lower savings room, or slower reimbursement. | Use before signing a lease, relocating, or accepting an offer. |
| Expected | The most likely estimate based on current quotes and household habits. | Use as the baseline comparison. |
| Expensive | Adds a buffer for utilities, insurance, commute, deposits, repairs, or timing problems. | Use to test whether the decision is fragile. |
Why this matters for users
Many bad cost decisions happen because one-time cash needs and recurring expenses are mixed together. Separating them makes it easier to see whether a move is unaffordable upfront, unaffordable monthly, or merely slower to break even.
How sample scenarios differ from market data
Sample scenarios are not the same as current market data. A market-data page would need to update rent listings, utility averages, insurance costs, transportation prices, tax rules, and local fees continuously. Living Cost Laboratory instead uses example scenarios to teach the structure of the decision and gives users editable calculators to replace assumptions.
| Content type | What it is good for | What it cannot do |
|---|---|---|
| Sample scenario | Showing how the decision works and which cost drives the result. | Proving what every household will spend. |
| Editable calculator | Testing a user's own assumptions quickly. | Replacing official tax, legal, or market research. |
| Guide checklist | Preventing common omissions such as deposits, utilities, and moving buffers. | Reviewing individual contracts or policies. |
| City comparison | Showing how two setups can differ in monthly cash flow. | Ranking every neighborhood or housing option. |
When a user is close to a real decision, the sample scenario should be replaced with current quotes: actual rent listings, actual moving estimates, employer reimbursement documents, benefit details, and household recurring costs.