Coming soon

The DataGarden · Public Data Browser

Official statistics from many sources, in one table.

Eurostat, the OECD, the UN and national statistics institutes each publish in their own format. The Public Data Browser puts their figures on one schema: the same column names, region codes and time periods, whichever source a number came from, and each figure with its source's publication date.

13sources
9themes
195+countries
Demographics · Netherlands· male population
RegionPeriodFieldValueSourcePublished Example
NL2022population.total_male8,745,468Eurostat2024-03
NL2022population.total_male8,890,013UN WPP2024-07
NL2023population.total_male8,850,309Eurostat2024-03
NL2023population.total_male8,986,255UN WPP2024-07

Values as returned for the Netherlands in the DataGarden SDK documentation, two sources on one field. Publication dates are examples.

What it will answer

Questions that now take a morning of downloads.

What does this region look like?

Population, income, health, energy and economy for one country or region, on one page, from every source that covers it.

How do these regions compare?

Regions from different countries side by side, because the column names, region codes and periods already match.

Where does this number come from?

Every figure keeps its source and its publication date. When two sources disagree, you see both and choose.

Themes

9 themes, each with the sources that feed it.

7 themes come from official statistics. Weather and Locations come from DataGarden's own collection and sit on the same regions.

Demographics

Population by age and gender, fertility, mortality, life expectancy, migration, education attainment and nativity.

CBSINSEEUS CensusEurostatOECDUN WPP

Economics

GDP, inflation, labour market, productivity, trade balances and public finance.

CBSONSBEAEurostatOECDUNCTAD

Energy

Electricity generation and price, energy consumption and expenditure, and CO2 emissions.

EIA

Health

Causes of death, vaccination coverage, hospital capacity and health-monitor indicators.

CBSRIVMEurostatOECDUNICEF

Household

Income distribution, housing characteristics and household composition.

CBSLeefomgevingINSEEONS

Social environment

Consumer confidence, distance to amenities and related social indicators.

CBSOECD

Trade

Goods and services exports, imports and balances.

UNCTAD

Weather

Observed and aggregated weather — temperature, precipitation and wind — by region and time period.

DataGarden weather collection

Locations

Retail and point-of-sale locations with catchment demographics — brands, stores and territories.

DataGarden location collection

Sources

13 official sources, and their coverage.

Supra-national bodies give the wide view; national institutes add detail down to postcode or neighbourhood level where they publish it.

Supra-national

EurostatStatistical office of the European Union
European Union / EEANUTS-2 regions
OECDOrganisation for Economic Co-operation and Development
OECD member countriesTL2 regions and country level
UN WPPUN World Population Prospects
Global190+ countries and UN aggregate regions
UNCTADUN Conference on Trade and Development
GlobalUN aggregate regions
UNICEFWUENIC immunization-coverage estimates (vaccination)
Global

National institutes · Europe

CBSStatistics Netherlands
Netherlandspostcode-4 (PC4) and municipality level
RIVMNational Institute for Public Health and the Environment
Netherlands
LeefomgevingRVO Leefomgeving
Netherlands
INSEEInstitut national de la statistique et des études économiques
FranceIRIS sub-municipal and municipal level
ONSOffice for National Statistics
United KingdomONS geographies

National institutes · United States

US CensusUS Census Bureau
United States
BEAUS Bureau of Economic Analysis
United Statesnational, state and county level
EIAUS Energy Information Administration
United Statesnational and state level; some country-level series

For data teams

The same figures in your own code.

Everything in the Public Data Browser is also reachable through the DataGarden API and the Python SDK, the-datagarden on PyPI.

  • The same harmonised fields as in the browser
  • Load straight into a pandas or polars dataframe
  • Country and regional GeoJSON to put the figures on a map
Python· the-datagarden SDK
# pip install the-datagarden
from the_datagarden import TheDataGardenAPI

api = TheDataGardenAPI()
nl = api.netherlands
nl_demographics = nl.demographics()

df = nl_demographics.full_model_to_polars()
df["period", "source_name", "population.total_male"]
Live

Available today: Geo Sales

Geo Sales already uses these statistics, with every shop in your category, to show where your brand is sold and where it could grow.

See Geo Sales