FiatMap Global Money Dataset
Every figure on this site in one file: 35 fields across 128 countries, each carrying the date it was observed and the body that published it. Free to use, including commercially, with attribution.
127 countries carry at least one figure; 76 carry all five factors of the Money Score. CC BY 4.0 — cite “FiatMap” with a link.
What is in it
| Column | Unit | Countries |
|---|---|---|
| money_score | 0–100 | 76 |
| mortgage_rate | % | 25 |
| inflation | % | 123 |
| real_rate | % | 53 |
| lending_rate | % | 67 |
| deposit_rate | % | 70 |
| real_deposit_rate | % | 69 |
| bank_spread | % | 62 |
| take_home_pay | usd_ppp | 37 |
| net_personal_tax_rate | % | 37 |
| house_price_index | index | 29 |
| house_price_yoy | % | 54 |
| rent_monthly | local_currency | 0 |
| fuel_liter | eur_per_litre | 27 |
| electricity_household | eur_per_kwh | 33 |
| tax_wedge_single | % | 36 |
| minimum_wage | eur_month | 26 |
| minimum_wage_ppp | usd_ppp_month | 85 |
| retirement_age_men | years | 49 |
| retirement_age_women | years | 49 |
| average_salary | usd_ppp | 37 |
| monthly_earnings | usd_ppp_month | 92 |
| median_earnings | usd_ppp_month | 78 |
| median_income | usd_ppp | 42 |
| price_level | us_price_level | 125 |
| vat_standard | % | 0 |
| corporate_tax | % | 96 |
| top_income_tax | % | 37 |
| public_holidays | days | 104 |
| fx_usd_1y | % | 71 |
| money_value | % | 116 |
| gdp_growth | % | 127 |
| gdp_per_capita | usd | 127 |
| unemployment | % | 124 |
| govt_debt_gdp | % | 83 |
| govt_debt_per_capita | usd | 83 |
How to read it
A blank cell means the figure is not published for that country. It never means zero, and nothing here is estimated, interpolated or carried forward from an older year to fill a gap — a missing number stays missing. That is the single most important thing to know before using this file.
Every field has a matching <field>_date column. That is the date the statistic describes, not the date you downloaded it: two countries in the same column can be a year apart, and the difference matters more than the values do.
Licence and citation
CC BY 4.0 (full terms). Use it, republish it, build on it, sell what you build — the only condition is attribution. Cite as:
FiatMap Global Money Dataset, FiatMap, 2026. https://fiatmap.com/data
The underlying figures come from national statistics offices, central banks, the OECD, the IMF, ILO and Eurostat. Each carries its own source on its country page, and the full source list is on /sources. Where you republish a figure, cite the original body as well — we did not produce it, we collected it.
One thing we made
The Money Score is the exception: it is calculated here from five of the fields above and published nowhere else. If you use one figure from this file, that is the one worth arguing with — the formula is published so you can.
Regenerated as the data changes; the CSV stamps the date it was built. Field definitions ship inside the JSON, so a column is never a mystery once the file has left this page.