Immobiliare.it Insights | Observatory Data Suite (Sell & Rent) | Listings Market Data | 73 KPIs | Italy | 9 years historic coverage
No reviews yet
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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
Geography
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 documentation of supply and listings data for informed business decisions.
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 Market 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 Market 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 Tabular Data 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 Market 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 Tabular Data has 3 related products. These alternatives include Immobiliare.it Insights Observatory Data Suite (Sell & Rent) Real Estate Demand Market Data 53 KPIs Italy 9 years historic coverage, CrawlBee Realtor.com Dataset Property Listings MLS Data Real Estate Data Residential Data Realtime Real Estate Market Data, and Grepsr Real Estate Products, Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage with Custom and On-demand Datasets. You can compare the best Property Market 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
Verified Provider
Trusted by
