Immobiliare.it Insights | Observatory Data Suite (Sell & Rent) | Listings Market Data | 73 KPIs | Italy | 9 years historic coverage
Verified Data Provider| # | id |
ads:qt-raw |
ads:qt-clean |
price-sqm:avg |
price-sqm:std |
surface:avg |
surface:std |
price:avg |
price:std |
price:total-value |
ads:qt-in |
ads:qt-in-pure |
ads:qt-out |
ads:qt-out-pure |
ads:qt-in-out |
ads:qt-stb |
price-sqm:avg-in |
surface:avg-in |
price-sqm:std-in |
price-sqm:avg-out |
surface:avg-out |
price-sqm:std-out |
ads:1view |
ads:1lead |
ads:pc-1view |
ads:pc-1lead |
ads:quality-idx |
ads:quality-idx-in |
ads:quality-idx-out |
ads:stock |
ads:rate-in |
ads:rate-out |
ads:oldness |
ads:persistence |
price-sqm:elasticity |
price-sqm:variability |
price-sqm:gross-return |
price-sqm:10pc |
price-sqm:20pc |
price-sqm:30pc |
price-sqm:40pc |
price-sqm:50pc |
price-sqm:60pc |
price-sqm:70pc |
price-sqm:80pc |
price-sqm:90pc |
price-sqm:max |
price-sqm:min |
surface:10pc |
surface:20pc |
surface:30pc |
surface:40pc |
surface:50pc |
surface:60pc |
surface:70pc |
surface:80pc |
surface:90pc |
surface:max |
surface:min |
price:10pc |
price:20pc |
price:30pc |
price:40pc |
price:50pc |
price:60pc |
price:70pc |
price:80pc |
price:90pc |
price:max |
price:min |
price-sqm:max-in |
price-sqm:min-in |
price-sqm:max-out |
price-sqm:min-out |
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| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx |
| 2 | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx |
| 3 | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
| 4 | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx |
| 5 | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx |
| 6 | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx |
| 7 | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx |
| 8 | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx |
| 9 | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 10 | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx |
| ... | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
id
|
Integer | 83073 | |
|
ads:qt-raw
|
Integer | 9 | |
|
ads:qt-clean
|
Integer | 5 | |
|
price-sqm:avg
|
Integer | 315 | |
|
price-sqm:std
|
Integer | 136 | |
|
surface:avg
|
Float | 141.0 | |
|
surface:std
|
Float | 107.6267 | |
|
price:avg
|
Integer | 43800 | |
|
price:std
|
Integer | 34593 | |
|
price:total-value
|
Float | 219000.0 | |
|
ads:qt-in
|
Integer | 0 | |
|
ads:qt-in-pure
|
Integer | 0 | |
|
ads:qt-out
|
Integer | 0 | |
|
ads:qt-out-pure
|
Integer | 0 | |
|
ads:qt-in-out
|
Integer | 0 | |
|
ads:qt-stb
|
Integer | 9 | |
|
price-sqm:avg-in
|
Integer | 0 | |
|
surface:avg-in
|
Float | 0.0 | |
|
price-sqm:std-in
|
Integer | 0 | |
|
price-sqm:avg-out
|
Integer | 0 | |
|
surface:avg-out
|
Float | 0.0 | |
|
price-sqm:std-out
|
Integer | 0 | |
|
ads:1view
|
Integer | 9 | |
|
ads:1lead
|
Integer | 0 | |
|
ads:pc-1view
|
Float | 100.0 | |
|
ads:pc-1lead
|
Float | 0.0 | |
|
ads:quality-idx
|
Integer | 3 | |
|
ads:quality-idx-in
|
Integer | 0 | |
|
ads:quality-idx-out
|
Integer | 0 | |
|
ads:stock
|
Float | 1.1873 | |
|
ads:rate-in
|
Float | 0.0 | |
|
ads:rate-out
|
Float | 0.0 | |
|
ads:oldness
|
Float | 7.1111 | |
|
ads:persistence
|
Float | 0.0 | |
|
price-sqm:elasticity
|
Float | 0.0 | |
|
price-sqm:variability
|
Float | 0.0 | |
|
price-sqm:gross-return
|
Float | 0.0 | |
|
price-sqm:10pc
|
Integer | 179 | |
|
price-sqm:20pc
|
Integer | 198 | |
|
price-sqm:30pc
|
Integer | 227 | |
|
price-sqm:40pc
|
Integer | 264 | |
|
price-sqm:50pc
|
Integer | 301 | |
|
price-sqm:60pc
|
Integer | 358 | |
|
price-sqm:70pc
|
Integer | 415 | |
|
price-sqm:80pc
|
Integer | 447 | |
|
price-sqm:90pc
|
Integer | 455 | |
|
price-sqm:max
|
Integer | 458 | |
|
price-sqm:min
|
Integer | 169 | |
|
surface:10pc
|
Float | 67.8 | |
|
surface:20pc
|
Float | 72.6 | |
|
surface:30pc
|
Float | 83.8 | |
|
surface:40pc
|
Float | 101.4 | |
|
surface:50pc
|
Float | 119.0 | |
|
surface:60pc
|
Float | 119.4 | |
|
surface:70pc
|
Float | 119.8 | |
|
surface:80pc
|
Float | 161.6 | |
|
surface:90pc
|
Float | 244.8 | |
|
surface:max
|
Float | 286.4 | |
|
surface:min
|
Float | 65.4 | |
|
price:10pc
|
Integer | 17200 | |
|
price:20pc
|
Integer | 22400 | |
|
price:30pc
|
Integer | 25600 | |
|
price:40pc
|
Integer | 26800 | |
|
price:50pc
|
Integer | 28000 | |
|
price:60pc
|
Integer | 38800 | |
|
price:70pc
|
Integer | 49600 | |
|
price:80pc
|
Integer | 63800 | |
|
price:90pc
|
Integer | 81400 | |
|
price:max
|
Integer | 90200 | |
|
price:min
|
Integer | 14600 | |
|
price-sqm:max-in
|
Integer | 0 | |
|
price-sqm:min-in
|
Integer | 0 | |
|
price-sqm:max-out
|
Integer | 0 | |
|
price-sqm:min-out
|
Integer | 0 |
Description
Country Coverage
History
Volume
| 1 million | records |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage?
Unlock comprehensive real estate market data from Italy with Immobiliare.it Insights’ Market Observatory. Access detailed real estate data, property data, and property listings data for informed business decisions using commercial real estate data.
What is Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage used for?
This product has 3 key use cases. Immobiliare.it Insights recommends using the data for Real Estate Analytics, Real Estate Stock Trend, and Real Estate Listings Monitoring. Global businesses and organizations buy Property Data from Immobiliare.it Insights to fuel their analytics and enrichment.
Who can use Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Property Data. Get in touch with Immobiliare.it Insights to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage go?
This product has 9 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage cover?
This product includes data covering 1 country like Italy. Immobiliare.it Insights is headquartered in Italy.
How much does Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage cost?
Pricing information for Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage is available by getting in contact with Immobiliare.it Insights. Connect with Immobiliare.it Insights to get a quote and arrange custom pricing models based on your data requirements.
How can I get Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage?
Businesses can buy Property Data from Immobiliare.it Insights and get the data via SFTP and REST API. Depending on your data requirements and subscription budget, Immobiliare.it Insights can deliver this product in .csv, .json, and .xls format.
What is the data quality of Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage?
Immobiliare.it Insights has reported that this product has the following quality and accuracy assurances: 90% match rate. You can compare and assess the data quality of Immobiliare.it Insights using Datarade’s data marketplace.
What are similar products to Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Listings Market Data 73 KPIs Italy 9 years historic coverage?
This product has 3 related products. These alternatives include Immobiliare.it Insights Commercial Real Estate Data Commercial Listings Data Suite (Sell & Rent) +1M Records Italy 9 years historic coverage, TagX Property Data Property Ownership data 1 Million+ records 8+ attributes Colorado USA, and Zillow Real Estate Data Extraction Real-time Real Estate Market Data No Infra Cost Pre-built AI & Automation 50% Cost Saving Free Sample. You can compare the best Property Data providers and products via Datarade’s data marketplace and get the right data for your use case.
Immobiliare.it Insights
Comprehensive knowledge of the real estate market serving your business
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