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Government

See population movement as it happens

Most planning uses data that is months or years old. By the time you read it, the market has already changed.

BrightCat shows it in motion.

Current data, not year-old reports. See the housing market week by week, at the property level.

Plan based on what's happening: not what happened.
The problem

Planning is based on outdated information

Census data is years old. Survey data takes months to publish. Local shifts get buried in national averages.

By the time you see it, the moment has passed.

The shift

Move from historical reporting to current visibility

Listings show where people are putting homes up for sale. Sales show where they are buying. Together, they show where the population is moving.

A new listing means someone is leaving. A sale means someone is arriving. You can see this every week.

How you win

Plan based on what's happening now

Urban Planning
See which cities are gaining people and which are losing them, week by week.
Housing Supply Monitoring
Identify where supply is entering the market: by type, price, and region: weekly.
Policy Development
Make decisions on this week's data, not last year's report. See whether a policy change is working in real time.
Infrastructure Planning
Put services where the people are actually going. Not where you thought they would go.

Property data fields for government housing analytics

Specific BrightCat fields and products relevant to this vertical. Every field listed below is queryable through Snowflake SQL, MCP natural language, or available in the weekly flat-file delivery.

Signal Product Field / Logic What it tells you
Inventory levelsListingsCOUNT by status, province, cityActive supply measurement by geography
Price velocityListingspricechangeamt, pricechangepct week-over-weekRate of price movement for affordability monitoring
Listing-to-sold conversionListings + SoldStatus transitions from NEW to SOLDMarket absorption rate by region
Rental supplyRentalsActive rental counts, asking rentsRental market supply and rate tracking
Commercial activityCommercialSale + lease volume by property classEconomic activity proxy by municipality
Population movementListingsNEW listings = outbound movement signalHousehold migration patterns by postal code

Sample query

-- Government: weekly housing inventory dashboard
SELECT province, city,
       COUNT(CASE WHEN listing_status = 'NEW' THEN 1 END) AS new_this_week,
       COUNT(CASE WHEN listing_status IN ('NEW','PRICE CHANGED','EXTENDED') THEN 1 END) AS total_active,
       ROUND(AVG(asking_price), 0) AS avg_asking,
       ROUND(MEDIAN(days_on_market), 0) AS median_dom
FROM BRIGHTCAT_LISTINGS.PRODUCT.listings_weekly
WHERE file_date = (SELECT MAX(file_date)
                   FROM BRIGHTCAT_LISTINGS.PRODUCT.listings_weekly)
GROUP BY province, city
ORDER BY total_active DESC;

Abstract example. Exact column names provided with access provisioning.

Products in action

Built on real market signals

Three BrightCat products provide current visibility into housing and population movement.

Listings
Supply signals. New listings, price changes, and market activity: tracked weekly.
Sold
Confirmed movement. Where transactions happened, at what price, and when.
Rentals
Demand and occupancy. Unit-level rental activity across Canada nationwide.
AI + Delivery

Enable data-driven decision systems

Government teams use AI to analyze housing activity and support planning decisions based on current market data.

Snowflake Marketplace
Query housing data alongside your own datasets
MCP Connector
AI systems query property data directly
Structured Files
Weekly files for direct integration

Updated weekly to reflect current market activity.

The consequence

If you rely on delayed data, you plan too late

Old data leads to late decisions, wasted money, and missed opportunities.

Current data enables current decisions.

Most planning is based on data that's months or years old. The market doesn't wait.

Common questions

About property data for government

How can government agencies use property data for planning?
BrightCat tracks property listings, transactions, and rental activity weekly across the Canadian market, providing current data on population movement, housing supply, and demand shifts that support planning decisions.
How often is BrightCat data updated?
All BrightCat data is updated weekly, capturing listings, sold transactions, rental activity, and lifecycle changes across 5.8M+ Canadian properties.
Can BrightCat data be used for housing supply monitoring?
Yes. Listings data tracks new supply entering the market weekly, including property type, location, and pricing: enabling timely monitoring of housing supply across regions.
Does BrightCat data cover rental markets?
Yes. BrightCat Rentals tracks unit-level rental activity across Canada nationwide, including asking rents, price changes, and supply signals.
How is BrightCat data delivered to government teams?
BrightCat data is available via Snowflake Marketplace, Secure Data Share, and structured files for direct integration into planning and analytics systems.

Still have questions? Talk to our team.

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See population movement as it happens

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