Alesco Data's Automotive records are updated monthly from millions of proprietary sourced vehicle transactions. These incoming transactions are processed through compilation rules and are either added as new, incremental records to our file, or contribute to validating existing records.

Our recent focus is on compiling new vehicle ownership, and the file includes over 14.2 million late model vehicle owners (2020-2025).

We also append our Persistent ID, telephone numbers, and demographics for a complete file that can support your direct mail and email marketing campaigns, lead validation, and identity verification needs. A Persistent ID is assigned to each vehicle record and tracks consumers as they change addresses or phone numbers, and vehicles as they change owners.

The database is not derived from state motor vehicle databases and therefore not subject to the Shelby Act also known as the Driver's Privacy Protection Act (DPPA) of 2000. The data is deterministic and sources include sales and service data, warranty data and notifications, aftermarket repair and maintenance facilities, and scheduled maintenance records.

Fields Included: Make Model Year VIN Data Vehicle Class Code (crossover, SUV, full-size, mid-size, small) Vehicle Fuel Code (gas, flex, hybrid) Vehicle Style Code (sport, pickup, utility, sedan) Mileage Number of Vehicles per Household First seen date Last seen date Email

The fields available include make, model, year, trim, style, fuel type, MSRP, and many more.

We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used. This file contains over 180 million records in addition to over 1 million+ fresh automotive intender records per day.

Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

France Motor Vehicle Ownership: HH: Area: Towns: Greater Paris and Paris data was reported at 64.700 % in 2017. This records an increase from the previous number of 59.700 % for 2015. France Motor Vehicle Ownership: HH: Area: Towns: Greater Paris and Paris data is updated yearly, averaging 62.400 % from Dec 2002 (Median) to 2017, with 15 observations. The data reached an all-time high of 64.700 % in 2017 and a record low of 59.700 % in 2015. France Motor Vehicle Ownership: HH: Area: Towns: Greater Paris and Paris data remains active status in CEIC and is reported by French Automobile Manufacturers Committee . The data is categorized under Global Database’s France – Table FR.TA004: Motor Vehicle Ownership per Household.

France Motor Vehicle Ownership: HH: Main Driver: Women data was reported at 41.900 % in 2015. This records an increase from the previous number of 41.800 % for 2014. France Motor Vehicle Ownership: HH: Main Driver: Women data is updated yearly, averaging 41.250 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 42.300 % in 2012 and a record low of 40.200 % in 2006. France Motor Vehicle Ownership: HH: Main Driver: Women data remains active status in CEIC and is reported by French Automobile Manufacturers Committee . The data is categorized under Global Database’s France – Table FR.TA004: Motor Vehicle Ownership per Household.

According to the survey conducted by Rakuten Insight in January 2024, about ** percent of the Vietnamese respondents revealed they have owned a car while ** percent of the survey participants did not. Among those who did, the majority of them own a conventional car.

.AUTO Whois Database, discover comprehensive ownership details, registration dates, and more for .AUTO TLD with Whois Data Center.

In this file there are statistics for a number of variables broken down by Malmö’s different areas over time. Sources Unless otherwise stated, the statistics in this database are retrieved from Statistics Sweden’s (SCB) regional database, Skånedatabasen or from Statistics Sweden’s area statistics database (OSDB). The Skåne database and OSDB show data from several different sources that Statistics Sweden has compiled on a geographical level. The statistics only cover persons who are part of the population registered in the population. Therefore, persons without a residence permit, such as asylum seekers, and persons who simply have not registered in the municipality are not included. Statistics Sweden does not provide statistics on which language residents speak, which religion you belong to or what ethnicity or political views you have. Therefore, such data is not available here either. However, the Electoral Authority reports election results per constituency on its website val.se. There are statistics from the last election as well as several previous elections available. Please note, however, that the constituencies do not necessarily follow the division of the city made here. Update The data is updated every spring as Statistics Sweden releases the figures to the municipality. Most variables are available for the year before. However, income and employment data are released with another year’s backlog. Unless otherwise stated, the date of measurement is 31 December of each year. Geographical breakdown Unless otherwise stated, the data is available for Malmö as a whole and broken down into urban areas (5 pieces), districts (10 pieces) and subareas (136 pieces). In addition to these, there is a residual post that contains the people who are not written in a specific place in the municipality, have protected identity and more. These people are also part of the total. In several of the subareas there are no or only a few registered population registers. Therefore, no data are reported for these areas. Examples of such sub-areas are parks such as Pildammsparken and Kroksbäcksparken and industrial areas such as Fosieby Industriområde and Spillepengen. Privacy clearance In order to protect the identity of individuals, the data is confidentially audited. This means that small values are suppressed, i.e. replaced by empty cells. However, the values are included in summaries. In general, the following rules apply: • No statistics are reported for geographical areas with very few housing. No cells with fewer than 5 individuals are reported. For data classified as sensitive (e.g. income and country of birth), larger values can also be suppressed. • In cases where a subcategory (e.g. a training category) is too small to be accounted for, all categories are often suppressed. Please use the numbers, but use “City Office, Malmö City” as the source.

Denmark Number of Motor Vehicles: Change of Ownership: Passenger Cars data was reported at 24,278.000 Unit in Nov 2018. This records a decrease from the previous number of 26,713.000 Unit for Oct 2018. Denmark Number of Motor Vehicles: Change of Ownership: Passenger Cars data is updated monthly, averaging 22,942.000 Unit from Jan 2000 (Median) to Nov 2018, with 227 observations. The data reached an all-time high of 28,718.000 Unit in Mar 2017 and a record low of 15,071.000 Unit in Dec 2001. Denmark Number of Motor Vehicles: Change of Ownership: Passenger Cars data remains active status in CEIC and is reported by Statistics Denmark. The data is categorized under Global Database’s Denmark – Table DK.TA003: Number of Motor Vehicles.

The data set contains registered vehicle population count by various criteria such as vehicle class, vehicle status, vechicle make, vehicle model, vehicle year, plate class, plate declaration, county, weight related class and other vehicle decriptors.

Croatia Number of Registered Vehicles: ow Passenger Cars data was reported at 1,910,131.000 Unit in 2023. This records an increase from the previous number of 1,840,767.000 Unit for 2022. Croatia Number of Registered Vehicles: ow Passenger Cars data is updated yearly, averaging 1,448,299.000 Unit from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 1,910,131.000 Unit in 2023 and a record low of 646,210.000 Unit in 1993. Croatia Number of Registered Vehicles: ow Passenger Cars data remains active status in CEIC and is reported by Croatian Bureau of Statistics. The data is categorized under Global Database’s Croatia – Table HR.TA003: Number of Vehicle Registrations.

The dataset collects the semi-annual data, for each municipality of the Emilia-Romagna Region, of the changes of ownership, presented to the Public Motor Vehicle Register (PRA), net of mini-voltures (passages of ownership in favor of dealers and resellers art. 56 DL 446/97).

The data is sorted according to the type of "vehicle class". The data come from the database of the Public Automobile Register (PRA) and are issued by the Automobile Club of Italy.

France Motor Vehicle Ownership: HH: Tradesmen, Craftsmen, Business Owners data was reported at 90.900 % in 2015. This records an increase from the previous number of 87.200 % for 2014. France Motor Vehicle Ownership: HH: Tradesmen, Craftsmen, Business Owners data is updated yearly, averaging 91.150 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 97.800 % in 2002 and a record low of 87.200 % in 2014. France Motor Vehicle Ownership: HH: Tradesmen, Craftsmen, Business Owners data remains active status in CEIC and is reported by French Automobile Manufacturers Committee . The data is categorized under Global Database’s France – Table FR.TA004: Motor Vehicle Ownership per Household.

Total vehicle registration counts per month by county

Circulating park for food and province. The data are extracted from the car tax database of the Piedmont Region, where all vehicles owned by residents in Piedmont are censused. In order to determine the debtor and the amount, the following are processed: the personal data of the owners and the changes of ownership, the technical data of the vehicles and the payments made. The circulating fleet is identified as the set of vehicles owned by residents in the Piedmont Region that are not removed.

This dataset contains information from the City’s towing database. The data includes: a list of vehicles currently on the City’s impound lot, VINs, the address where the vehicle was towed and why it was towed and the disposition of the vehicle (sold at auction, released to owner, etc.). This dataset is updated daily. **Important Notice: This fees included in this data are calculated on the day the vehicle is released from city custody. Fees for vehicles still held by the City will be calculated at the time of release and are not considered accurate until that time.

Historical series of the circulating park by year of registration. The series shows the number of cars/motor vehicles in circulation, distributed by age class of each individual vehicle (based on the year of first registration). The historical depth is 10 years (starting from the year indicated) and specifically the classes provided, are: 0 years, between 1 and 3 years, between 4 and 6 years, between 7 and 9 years, between 10 12 years, between 13 and 15 years, between 16 and 18 years, between 19 and 21 years, between 22 and 24 years, between 25 and 27 years, between 28 and 30 years, over 30 years. The data are extracted from the car tax database of the Piedmont Region, where all vehicles owned by residents in Piedmont are censused. In order to determine the debtor and the amount, the following are processed: the personal data of the owners and the changes of ownership, the technical data of the vehicles and the payments made. The circulating fleet is identified as the set of vehicles owned by residents in the Piedmont Region that are not removed.

France Motor Vehicle Ownership: HH: Middle Management data was reported at 89.100 % in 2017. This records an increase from the previous number of 88.000 % for 2015. France Motor Vehicle Ownership: HH: Middle Management data is updated yearly, averaging 89.100 % from Dec 2002 (Median) to 2017, with 15 observations. The data reached an all-time high of 90.700 % in 2011 and a record low of 87.100 % in 2003. France Motor Vehicle Ownership: HH: Middle Management data remains active status in CEIC and is reported by French Automobile Manufacturers Committee . The data is categorized under Global Database’s France – Table FR.TA004: Motor Vehicle Ownership per Household.

Analysis of ‘Open ACC Database’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/9702c950-c80f-4d2f-982f-44d06ea0009f on 18 January 2022.

--- Dataset description provided by original source is as follows ---

Open Database of car-following experiments involving vehicles with Adaptive Cruise Control systems (ACC). The objective of the OpenACC Database is to provide data about ACC behavior to the whole scientific community in order to achieve a better understanding of the properties of ACC vehicles and to understand how their widespread may influence traffic dynamics in order to anticipate possible problems related to it. As new experimental data will be made available they will be included in OpenACC. External actors willing to include their ACC data can contact the OpenACC contact point. The database contains vehicle trajectories from different car-following experiments. Most of them refer to ACC driving, however for comparison purposes there are a few trajectories which also refer to manual driving.

If you want to receive a notification every time that OpenACC is updated, you are invited to send a message to JRC-SMART-MOBILITY@ec.europa.eu. The message should indicate in the subject "Request of updates notification" and in the body the following information: name, surname, affiliation and the email address where the notification shall be sent

--- Original source retains full ownership of the source dataset ---