The Occupi Data Standard
How we collect, organize, and standardize retail property intelligence worldwide.
Built on international measurement and classification standards so our data speaks a universal language.
Why Standards Matter
Comparing properties across Dubai, Johannesburg, and Jakarta shouldn't require a spreadsheet decoder ring.
When you're evaluating retail opportunities across different countries and markets, you need data you can trust.That means consistent units, clear definitions, and formats that don't change from one property to the next.
Our data standard ensures that when you see "45,000 sqm" for a property in the UAE, it means exactly the same thingas "45,000 sqm" for a property in South Africa or Indonesia. No surprises, no mental math, no guesswork.
What You Get
- Consistent Measurements
Square meters everywhere. No more converting between sq ft, GLA, GEA, and mystery units.
- Clear Currency
ISO currency codes (USD, AED, ZAR) so you always know what you're looking at.
- Property Classification
Standardized property types from "Neighborhood" to "Super Regional" based on industry definitions.
- Global Comparability
The same data categories and formats across every market we cover.
Built on Global Standards
We didn't make this up. Our data standard follows internationally recognized frameworks.
IPMS
International Property Measurement Standards
The global standard for measuring buildings, supported by 88+ professional organizations. When we say "GLA", we mean it the same way property professionals do worldwide.
ICSC Classification
International Council of Shopping Centers
The industry-standard taxonomy for retail property types. Whether it's a convenience center or a mega mall, we use the same definitions as the professionals.
SNA & COICOP
UN/OECD Statistical Standards
Our economic and consumer spending data follows the same frameworks used by the World Bank, IMF, and national statistical agencies.
ISO 4217
International Currency Codes
Every monetary value includes a proper currency code. No bare $ symbols that could mean USD, AUD, SGD, or something else entirely.
ISIC Rev. 5
Industrial Classification
Retail categories and tenant classifications follow the UN's economic activity classification system used by governments worldwide.
SDMX
Statistical Data Exchange
Our data structures align with the exchange formats used by major statistical organizations, ensuring future interoperability.
Measurements Made Simple
One unit, one format, no confusion.
Square Meters
All area measurements in sqm. Always. We handle the conversions so you don't have to.
Clean Percentages
"5%" not "5 percent" or "Five %". Simple, scannable numbers.
Monthly Rent Rates
Rents quoted per sqm per month with currency code. No annual vs monthly guesswork.
Proper Counts
Foot traffic, parking spaces, retail outlets - all as clean numbers with context.
Examples of Standardized Data
| Gross Leasable Area | 45,000 sqm |
| Average Rent | USD 45.00/sqm/month |
| Vacancy Rate | 5% |
| Annual Foot Traffic | 2,500,000 |
| Parking Spaces | 3,500 |
| Year Built | 2005 |
Property Classification
Every property is categorized using ICSC's internationally recognized taxonomy.
Convenience
500 - 10,000 sqm
Neighborhood
2,000 - 15,000 sqm
Community
10,000 - 30,000 sqm
Regional
30,000 - 80,000 sqm
Super Regional
80,000 - 200,000 sqm
Mega Mall
200,000+ sqm
What We Track
Comprehensive intelligence across three levels of the retail ecosystem.
- Demographics & Catchment Area
- Traffic & Performance Metrics
- Competition & Tenant Mix
- Real Estate & Leasing Info
- Accessibility & Infrastructure
- Digital & E-commerce Trends
- Growth Potential Indicators
- Market Demographics
- Economic Indicators
- Consumer Spending & Buying Power
- Competition & Retail Presence
- Real Estate & Infrastructure
- Traffic & Accessibility
- Tourism & Seasonal Factors
- Retail Performance & Trends
- Macro Demographics
- National Economic Indicators
- Consumer Economy & Spending
- Retail Market Structure
- Business Climate & Real Estate
- Logistics & Accessibility
- Digital & Retail Tech Trends
- Growth Forecasts & Trends
By the Numbers
Data points per property
City-level metrics
Country indicators
Property types
Coverage
Properties
Cities
Countries
Our Quality Principles
- No "N/A" or "Unknown"
If we don't have reliable data for a metric, we simply don't show it. No filler, no guesswork.
- Validation Checks
Automated sanity checks flag unlikely values for manual review before they reach our database.
- Cross-Field Logic
We verify that related metrics make sense together - available space can't exceed total GLA, for example.
- Source Transparency
We track where our data comes from and are building toward full provenance disclosure.
Data You Can Trust
Quality is more important than completeness.
We'd rather show you 30 well-validated data points than 50 data points full of asterisks and caveats. Every metric in our system goes through validation before it reaches you.
Our data pipelines include range checks, cross-field validation, and automated flagging for valuesthat don't pass the smell test. A 500,000-level property claiming to be a "convenience center"?That gets caught and fixed before you ever see it.
For the Nerds
If you want to dig deeper into the standards we follow, here are some starting points:
Ready to Explore Our Data?
See standardized retail property intelligence in action across 80+ countries.
