Global Urbanisation & Living Standards
The worldwide housing-and-living-conditions picture, in one clean Parquet - the global complement to our European/OECD house-price products (open house-price data barely exists for emerging markets, but the living-conditions layer does). Eight World Bank indicators: urban population share and growth, access to electricity, basic and safely-managed drinking water, basic sanitation, the share of the urban population living in slums, and primacy (share in the largest city) - per country per year since 2000, ~200 countries. The proptech, infrastructure, development and ESG lens on how the world is housed; joins to the country-profile products on ISO-3 code.
- Source
- World Bank
- Licence
- Redistributable open data
- Updates
- Annual
- Data through
- 2025-01-01
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- 8 indicators × ~200 countries × 2000-present - urbanisation, primacy + access to power/water/sanitation + slums
- Worldwide housing-conditions layer (open EM house-price data barely exists - this is the proxy)
- country (ISO3) × indicator × year; joins to global-country-profile on ISO-3
- Source: World Bank Open Data (CC-BY-4.0) - fully redistributable
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Country (ISO3 code) | 100.0% | 217 |
| ts | timestamp (UTC) | Year | 100.0% | 26 |
| indicator | str | Urban share / urban growth / electricity / water / sanitation / slums | 100.0% | 14 |
| value | float | Indicator value (%) | 100.0% | 9,679 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (annual) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: World Bank (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("global-urbanisation_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 217 zones
ABW · AFG · AGO · ALB · AND · ARE · ARG · ARM · ASM · ATG · AUS · AUT · AZE · BDI · BEL · BEN · BFA · BGD · BGR · BHR · BHS · BIH · BLR · BLZ · BMU · BOL · BRA · BRB · BRN · BTN · BWA · CAF · CAN · CHE · CHI · CHL · CHN · CIV · CMR · COD · COG · COL · COM · CPV · CRI · CUB · CUW · CYM · CYP · CZE · DEU · DJI · DMA · DNK · DOM · DZA · ECU · EGY · ERI · ESP · EST · ETH · FIN · FJI · FRA · FRO · FSM · GAB · GBR · GEO · GHA · GIB · GIN · GMB · GNB · GNQ · GRC · GRD · GRL · GTM · GUM · GUY · HKG · HND · HRV · HTI · HUN · IDN · IMN · IND · IRL · IRN · IRQ · ISL · ISR · ITA · JAM · JOR · JPN · KAZ · KEN · KGZ · KHM · KIR · KNA · KOR · KWT · LAO · LBN · LBR · LBY · LCA · LIE · LKA · LSO · LTU · LUX · LVA · MAC · MAF · MAR · MCO · MDA · MDG · MDV · MEX · MHL · MKD · MLI · MLT · MMR · MNE · MNG · MNP · MOZ · MRT · MUS · MWI · MYS · NAM · NCL · NER · NGA · NIC · NLD · NOR · NPL · NRU · NZL · OMN · PAK · PAN · PER · PHL · PLW · PNG · POL · PRI · PRK · PRT · PRY · PSE · PYF · QAT · ROU · RUS · RWA · SAU · SDN · SEN · SGP · SLB · SLE · SLV · SMR · SOM · SRB · SSD · STP · SUR · SVK · SVN · SWE · SWZ · SXM · SYC · SYR · TCA · TCD · TGO · THA · TJK · TKM · TLS · TON · TTO · TUN · TUR · TUV · TZA · UGA · UKR · URY · USA · UZB · VCT · VEN · VGB · VIR · VNM · VUT · WSM · XKX · YEM · ZAF · ZMB · ZWE
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