Datatorq - Product Pricing Data | Car Data | Historical Prices (Europe) | 2023-2024 | Market Research
# | country |
segment |
recent_model_name |
brand |
VUC |
recent_version_name |
availability |
price_type |
2023-01 |
2023-02 |
2023-03 |
2023-04 |
2023-05 |
2023-06 |
2023-07 |
2023-08 |
2023-09 |
2023-10 |
2023-11 |
2023-12 |
2024-01 |
2024-02 |
2024-03 |
2024-04 |
2024-05 |
price_diff |
percent_pricediff |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 |
3 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
4 | 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 |
5 | 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 |
6 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
7 | 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 |
8 | 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 |
9 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx |
10 | 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 | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
country
|
String | BE | |
segment
|
String | Small Van ICE | |
recent_model_name
|
String | Transit Connect | |
brand
|
String | Ford | |
VUC
|
String | BEFRTCN001 | |
recent_version_name
|
String | Transit Connect L1 200 Trend 1.0 EcoBoost 100pk M6 | |
availability
|
String | Available | |
price_type
|
String | Price OTR incl. VAT | |
2023-01
|
Integer | 27407 | |
2023-02
|
Integer | 27407 | |
2023-03
|
Integer | 27407 | |
2023-04
|
Integer | 27407 | |
2023-05
|
Integer | 27407 | |
2023-06
|
Integer | 27407 | |
2023-07
|
Integer | 28375 | |
2023-08
|
Integer | 28375 | |
2023-09
|
Integer | 28375 | |
2023-10
|
Integer | 28375 | |
2023-11
|
Integer | 28375 | |
2023-12
|
Integer | 28375 | |
2024-01
|
Integer | 28375 | |
2024-02
|
Integer | 28375 | |
2024-03
|
Integer | 28375 | |
2024-04
|
Integer | 28375 | |
2024-05
|
Integer | 28375 | |
price_diff
|
Integer | 0 | |
percent_pricediff
|
Integer | 0 |
Description
Country Coverage
History
Volume
250 | Data Points |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research?
Need a boost for your benchmarking? Our Car Data is the fuel you need. Get access to 2 years of European LCV Product Pricing Data. Stay ahead of the competition by analysing trends, spotting price changes, and making smart decisions for your LCV business.
What is Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research used for?
This product has 5 key use cases. Datatorq recommends using the data for Market Research, Product development, Price Strategy, Product Strategy, and Competition Benchmark. Global businesses and organizations buy Product Data from Datatorq to fuel their analytics and enrichment.
Who can use Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Product Data. Get in touch with Datatorq to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research go?
This product has 2 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research cover?
This product includes data covering 21 countries like Germany, United Kingdom, France, Italy, and Spain. Datatorq is headquartered in France.
How much does Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research cost?
Pricing information for Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research is available by getting in contact with Datatorq. Connect with Datatorq to get a quote and arrange custom pricing models based on your data requirements.
How can I get Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research?
Businesses can buy Product Data from Datatorq and get the data via Email. Depending on your data requirements and subscription budget, Datatorq can deliver this product in .csv format.
What is the data quality of Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research?
You can compare and assess the data quality of Datatorq using Datarade’s data marketplace. Datatorq has received 3 reviews from clients.
What are similar products to Datatorq - Product Pricing Data Car Data Historical Prices (Europe) 2023-2024 Market Research?
This product has 3 related products. These alternatives include Datatorq - Product Pricing Data Car Data Current Prices (Europe) Current Month Market Research, Product Pricing Data , Price Drop & Price Change Alert - Get all Product Data & commerce Data Easily Avg. 7 days Refresh Rate Free Trial, and TagX - 10,000+ Car damage images with annotation Car insurance & inspection Global coverage with custom annotations. You can compare the best Product Data providers and products via Datarade’s data marketplace and get the right data for your use case.