The DataGarden · Data Discovery

One place for the world's public data.

Stop hunting across 50 government portals with incompatible formats. 247 curated data sources, 195+ countries, 15 categories — browsable, filterable, downloadable in minutes.

Start for free → See the catalog
247curated data sources
195+countries covered
15topic categories
Freeto start, no credit card
The problem

You know public data exists. Getting to it is the problem.

The analyst's afternoon

Your manager asks for a cross-country comparison of household income trends across 8 EU countries. You open six tabs. Eurostat uses NUTS regions. The World Bank uses ISO codes. OECD has different base years. Three sources use different income definitions. By 3pm you have 4 spreadsheets, 2 methodology notes, and a headache.

⏱ Actual time spent on data collection: 4–6 hours

The researcher's week

You need a panel dataset of employment and demographics across 40 countries for a regression analysis. Each national statistics bureau has its own download portal. Some require registration. Some are in the local language. Harmonizing them takes days — if it's even possible.

⏱ Typical time to build a cross-country dataset: 2–5 days
Researchers spend 30–40% of their time just getting data ready. That's not research — that's logistics.
How it works

From data need to download in three steps

Search, select, download — or connect via API. No paperwork, no credit card to explore.

01

Browse the catalog

Search by country, topic, or data source. Filter by geography — from national level down to postal code. See what's available before you commit to anything.

02

Select what you need

Choose countries, time periods, and granularity. The preview shows you exactly what the data looks like — before you download. No surprises.

03

Download or connect

Export as CSV, Parquet, or GeoJSON — analysis-ready, with consistent columns and standardized geo identifiers. Or use the Python SDK: pip install the-datagarden.

The catalog

247 sources across 15 categories

Continuously collected and harmonized — so you don't have to.

👥
Demographics
13 sources
💰
Economics & Finance
31 sources
🌍
Geography & Regional
24 sources
🏥
Health
12 sources
🏫
Education & Research
6 sources
⚡
Energy
16 sources
🌱
Environment & Climate
29 sources
🚔
Crime & Justice
22 sources
💼
Labour Market
7 sources
🏛️
Politics & Governance
20 sources
🏠
Real Estate & Housing
9 sources
🌾
Food & Agriculture
3 sources
🚗
Transport
9 sources
📰
Society & Media
3 sources
🔗
Multi-topic Portals
43 sources
195+countries with coverage
Postal codeto national-level granularity
Historicaltemporal depth for trends
Why use it

What analysts, researchers & journalists actually need

Harmonization is the value. We've done it once so you don't have to do it every week.

⚡

One search, not fifteen tabs

Browse the entire catalog in one place. Filter by country, topic, granularity, and time period. No more opening ten government portals to find out they don't have what you need.

🔧

Analysis-ready, not raw

Data is normalized with consistent column names, standardized geo identifiers (ISO, NUTS, postal codes), and aligned time periods. You spend your time on insights, not data cleaning.

🐍

Python-native

pip install the-datagarden and access the full catalog from your Jupyter notebook or data pipeline. Pandas-compatible output.

🌍

Cross-country comparisons that work

195+ countries normalized to the same data model. Compare household income across 30 EU/OECD countries without alignment work. Harmonized definitions, same base years.

Pricing

Start free. Upgrade when you need more.

Predictable tiers for individuals, researchers, and institutions.

Explorer
Free
forever

Evaluate the platform and run small analyses. No credit card required.

  • 1,000 API calls/month
  • Core demographic indicators
  • 5 countries
  • CSV download (limited rows)
  • Python SDK access
Most popular
Researcher
€99–299
per year

For individual analysts, researchers, and journalists who need the full catalog.

  • 10,000 API calls/month
  • All 15 topic categories
  • All 195+ countries
  • Full download: CSV, Parquet, GeoJSON
  • Jupyter notebook templates
Institution
€2–15K
per year

For university departments, research teams, and consulting firms.

  • Unlimited API calls
  • SSO / institutional login
  • Usage analytics dashboard
  • Dedicated onboarding support
  • COUNTER-compliant reporting
FAQ

Common questions

How is this different from using Eurostat, World Bank, or OECD directly?
Those are great primary sources — but each has its own API format, geographic identifiers, column naming conventions, and download process. We normalize all of them into a single consistent schema. The value is in the harmonization, not the raw data.
How current is the data?
We continuously collect from source portals. Most datasets are updated annually (following release cycles of national statistics offices). Each dataset page shows the last update date and the source's publication schedule.
Can I use this data in my research publications?
Yes. We provide source citations with each dataset download. Citation support (including DOI) is on our roadmap. In the meantime, the metadata export includes the original source, URL, and last update date for each data point.
Is there data at sub-national level, or only national?
Both. Coverage varies by country and dataset, but we offer postal code, municipality, NUTS-2/3, and national level depending on what the source provides. The geographic granularity is shown for each dataset in the catalog.
Can I suggest a data source that's missing?
Yes, and we encourage it. User feedback directly shapes what we add next. Every request goes into our collection pipeline evaluation. The catalog grows faster when the community helps identify gaps.

Start exploring in minutes

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