This Mikrozensus special survey consists of two parts of the traffic statistics: motor vehicles and driving licenses The first part is a repetition of the Mikrozensus special survey from September 1971 (Mikrozensus MZ7103) on motor vehicles and their road performance. The results of this survey were the basis for studies and measure in the fields of traffic policy, road safety and the general transport. By repeating this special survey, new data for these fields is collected. Moreover, changes due to the strong increase in the number of vehicles are are evaluated. More attention, than in the study from 1971, is also given to the energy consumption resulting from the performance of the vehicle. The questions are only on certain types of vehicles which are of special interest due to their road performance (passenger cars, estate cars, motorcycles, mopeds). Preliminary, important vehicle data and personal data of its owner are are collected. Then the questions are on the mileage at the time the vehicle was bought and at the time of the survey, as well as on the last working day’s and last weekend’s mileage. Owner’s of passenger- or estate cars are also asked how many people usually drive the car (as driver or passenger) from Monday to Friday as well as on the weekends and for what what purpose the car is mainly used. Up until now, statistics on driving licenses have only been conducted in some states on varying form (and therefore not really comparable). The results of this survey should provide information for the whole federal territory on the number of people with driving licenses, the data of the acquiring of the licence and the groups these licenses refer to. Probability: Stratified: Disproportional Face-to-face interview

How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our mobility statistics program.

The "Trips by Distance" data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day.

Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air.

The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed.

These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

These data are made available under a public domain license. Data should be attributed to the "Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland and the United States Bureau of Transportation Statistics."

Daily data for a given week will be uploaded to the BTS website within 9-10 days of the end of the week in question (e.g., data for Sunday September 17-Saturday September 23 would be updated on Tuesday, October 3). All BTS visualizations and tables that rely on these data will update at approximately 10am ET on days when new data are received, processed, and uploaded.

The methodology used to develop these data can be found at: https://rosap.ntl.bts.gov/view/dot/67520.

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.

Total vehicle registration counts per month by county

This file/dataset contains tables of the number of individuals with no licence, a learner licence, a restricted licence, and a full licence as of 6 March 2018 for various subpopulations. Licences are standard licences (not diplomatic or pseudo licence) for motor cars and light motor vehicles only.

Number of vehicles authorized to drive in Quebec, both for road vehicles and for vehicles designed for off-road traffic. The data has been revised to comply with the new provisions of Bill 25 protecting the privacy of Quebecers.

Egypt Number of Registered Vehicles: Private Cars data was reported at 5,229,787.000 Unit in 2023. This records an increase from the previous number of 5,111,892.000 Unit for 2022. Egypt Number of Registered Vehicles: Private Cars data is updated yearly, averaging 2,437,543.000 Unit from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 5,238,260.000 Unit in 2019 and a record low of 1,052,786.000 Unit in 1995. Egypt Number of Registered Vehicles: Private Cars data remains active status in CEIC and is reported by Ministry of Interior. The data is categorized under Global Database’s Egypt – Table EG.TA001: Number of Registered Vehicles: Annual.

Number of vehicles travelling between Canada and the United States, by trip characteristics, length of stay and type of transportation. Data available monthly.

This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

Supermarkets are one of the most popular and convenient ways in which Americans gain access to healthy food, such as fresh meat and fish, or fresh fruits and vegetables. There are various ways in which people gain access to supermarkets. People in the suburbs drive to supermarkets and load up the car with many bags of food. People in cities depend much more on walking to the local store, or taking a bus or train.This map came about after asking a simple question: how many Americans live within a reasonable walk or drive to a supermarket?In this case, "reasonable" was defined as a 10 minute drive, or a 1 mile walk. The ArcGIS Network Analyst extension performed the calculations on streets data from StreetMap Premium, and the ArcGIS Spatial Analyst extension created a heat map of the walkable access and drivable access to supermarkets.The green dots represent populations in poverty who live within one mile of a supermarket. The red dots represent populations in poverty who live beyond a one mile walk to a supermarket, but may live within a 10 minute drive...which presumes they have access to a car or public transit. The grey dots represent the total population in a given area.This is an excellent map to use as backdrop to show how people are improving access to healthy food in their community. Open this map in ArcGIS Pro or ArcGIS Online to use it as a backdrop to your local analysis work. Or open it in ArcGIS Explorer to add your favorite farmers' market, CSA, or transit line -- then share that map via Facebook, Twitter or email. See this web map for a map with a popup layer.This map shows data for the entire U.S. The supermarkets included in the analysis have annual sales of $1 million or more.Data source: see this map package.

This table contains 60 series, with data for years 2000 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Total; all vehicles; Trucks 15 tonnes and over; Vehicles up to 4.5 tonnes; Trucks 4.5 tonnes to 14.9 tonnes ...), Driver age group (4 items: Total; all age groups; Under 25 years; 25 to 54 years; 55 years and over ...), Sex (3 items: Both sexes; Males; Females ...).

This table contains data on the annual miles traveled by place of occurrence and by mode of transportation (vehicle, pedestrian, bicycle), for California, its regions, counties, and cities/towns. The ratio uses data from the California Department of Transportation, the U.S. Department of Transportation, and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Miles traveled by individuals and their choice of mode – car, truck, public transit, walking or bicycling – have a major impact on mobility and population health. Miles traveled by automobile offers extraordinary personal mobility and independence, but it is also associated with air pollution, greenhouse gas emissions linked to global warming, road traffic injuries, and sedentary lifestyles. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which has many documented health benefits. More information about the data table and a data dictionary can be found in the About/Attachments section.

This dataset presents current and former locations of vehicles that have been relocated by the City of Chicago within the last 90 days. Vehicles may be relocated, but not impounded, due to inoperability, accident, severe weather, special events, construction or other work being performed in a thoroughfare where the vehicle was previously located.

Luxury Car Market Trends | Industry Analysis, Size & Forecast Report

Dataset updated: Jun 27, 2024

Dataset authored and provided by: Mordor Intelligence

License: https://www.mordorintelligence.com/privacy-policy

Time period covered: 2019 - 2029

Area covered: Global

Variables measured: CAGR, Market size, Market share analysis, Global trends, Industry forecast

Description: The Luxury Car Market size is estimated at USD 738.63 billion in 2024, and is expected to reach USD 967.65 billion by 2029, growing at a CAGR of 5.55% during the forecast period (2024-2029).

Quantitative Units: Revenue in USD Billion, Volumes in Units, Pricing in USD

Segments Covered: The luxury car market is segmented by vehicle type, drive type, vehicle class, and geography. By vehicle type, the market is segmented into hatchbacks, sedans, sport utility vehicles, multi-purpose vehicles, and other vehicle types (sports, etc.). By drive type, the market is segmented into internal combustion engines and electric and hybrid. By vehicle class, the market is segmented into entry-level luxury class, mid-level luxury class, and ultra-luxury class.

Regions and Countries Covered: North America, Europe, Asia-Pacific, and Rest of the world

Market Players Covered: Key Players Include Mercedes-Benz, BMW, Volkswagen Group, and Tesla.

This table contains data on the percent of residents aged 16 years and older mode of transportation to work for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Commute trips to work represent 19% of travel miles in the United States. The predominant mode – the automobile - offers extraordinary personal mobility and independence, but it is also associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Automobile commuting has been linked to stress-related health problems. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Risk of injury and death in collisions are higher in urban areas with more concentrated vehicle and pedestrian activity. Bus and rail passengers have a lower risk of injury in collisions than motorcyclists, pedestrians, and bicyclists. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience four times the death rate Whites or Asian pedestrians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

Kenya Road Transport: Number of Motor Vehicles: Registered data was reported at 4,588,770.000 Unit in 2022. This records an increase from the previous number of 4,353,891.000 Unit for 2021. Kenya Road Transport: Number of Motor Vehicles: Registered data is updated yearly, averaging 2,011,972.000 Unit from Dec 2004 (Median) to 2022, with 19 observations. The data reached an all-time high of 4,588,770.000 Unit in 2022 and a record low of 711,142.000 Unit in 2004. Kenya Road Transport: Number of Motor Vehicles: Registered data remains active status in CEIC and is reported by Kenya National Bureau of Statistics. The data is categorized under Global Database’s Kenya – Table KE.TA001: Road Transport: Number of Motor Vehicles: Registered.

Abstract: “Die Goldfische” recounts an open-roadish story of a centre for disabled people, where a group of friends tries to smuggle cash from Zürich, Switzerland, to Germany. The plot revolves around recently paralyzed Oliver, who tries to save the money from being taken by the German tax bureau. The young banker initially appears reluctant to accept his new circumstances and his disabled peers, but in a roundabout way, he integrates himself into the centre during the trip. Details: Oliver is a successful, ruthless banker who leads a fast-paced life. While stuck in slow-moving traffic on his way to work one morning, he breaks free from the queue by driving in the opposite lane. He is blind-sided by a car that appears out of nowhere behind a camper van, and to avoid a fatal accident, he swerves, but the damage is done, and his car rolls over three times. He wakes up in the hospital to find out he has lost mobility in his legs. After spending three months in a rehabilitation clinic, he has yet to come to terms with his condition and new reality. He does not try to connect with other patients in the clinic and is unwilling to accept that healing will be a slow process. The people around him, his mother, the facility manager, and his boss are concerned that he keeps worrying about work instead of trying to adapt to his new condition as he does not want to jeopardise his professional standing and his clients’ money. One day, at lunch, he meets Laura, a social assistant working with a group of patients with disabilities. They start on the wrong foot as he nearly insults her job and is rejected when he asks her out. As Oliver’s room has spotty internet, he moves to the common room, disrupting Laura’s group therapy session with her patients, whom she calls “the Goldfish.” There are four patients who attend the meeting: two with autism, Michi and Reiner, also called Rainman, Franzi, a girl with Down syndrome, and Magda, a visually impaired woman. The film’s turning point is a phone call Olive receives from a bank in Switzerland, where he holds undeclared money in a safe deposit box. The German tax authorities found out about it and had started investigating him. Oliver decides to go there and withdraw the money himself. He plans to undertake a trip to avoid being accused of tax evasion and disguises his true intentions under the pretext of visiting a camel farm with members of the Goldfish group. He pays for the trip, and while the others go on a ride with Laura, he bribes the other nurse accompanying them, Eddy, to drive him to the bank. After being blackmailed by Eddy for more money, he tapes the cash to his legs and goes back to the farm. At the farm, a camel starts chewing his pants. Laura finds out about the money and forces him to drive to Zurich and deposit the money back in the locker. Things begin to fall apart when he wants Eddy to return the bribe. Eddy is on the run, and Laura chases them. Upon losing his trail, Oliver goes back to the van where his comrades are waiting. Magda suggests that in exchange for a bribe, she could teach Rainman to drive, and they could run away without Laura. Oliver agrees and after a rough start, Rainman drives them away. They receive a call from Laura, who is worried and infuriated, but they inform her that they are driving away and she should hail a taxi. Everyone now wants a slice of the proverbial pie in the form of a bribe. Franzi wants expensive clothes instead of money. They all head to a boutique in Zurich, where they have to convince a sceptical shop assistant that they can indeed pay for the clothes and buy an expensive outfit for her. Oliver realises that the money bundles tied to his leg are bruising his legs, and he decides to transfer them on Michi. On their way back to the car, they see Eddy buying an expensive watch in a shop, and Oliver chases him. All of them manage to knock him down, tie him to the car seat while he’s unconscious, and drive away. They are about to cross the border when Rainman has an episode while driving. Instead of meeting with an accident, they drive onto a field running next to the road. Oliver convinces Magda to get behind the wheel by being her eyes on the road and guiding her. They nearly destroy the van but make it to the border. They are stopped by the police, who flags them down after witnessing Magda’s haphazard driving. They manage to stall the police long enough until Laura rescues them by talking to the police. Laura was abandoned by her taxi driver once he realised she had no money to pay him. They manage to cross the border without any further complication but realise that they lost Michi in the field when they drove off the road. They drive back for him and locate him at an amusement park just as he was getting on a ride that will shoot him off in the sky. The rides take off and when he is all the way at the top, the money bundles come off him in the form of 500-euros-bills that leads to a wild scramble at the park. Oliver witnesses this, accepts the futility of his attempts, and wants just to get home. Once they get back to the rehabilitation clinic, Laura, disappointed and angry, disappears. For Oliver and the other patients, things go back to normal. His money was never traced, and they renewed his contract at the company as his colleague faces tax evasion accusations. However, he does not feel the same drive to earn as he did before. The Goldfish members convince him to confess to the facility manager so that Laura could get her job back. They learn that the facility manager already knew, and Laura was not fired but had resigned because she felt she had failed as a social assistant. The manager, worried by the financial state of the facility, suggests that Oliver could help his banker friends legalise their money by donating it to the facility, and Oliver accepts. When they are about to take off on their second trip, Oliver feels the absence of Laura and rushes to the fast-food restaurant where she works to convince her to come back. She is reluctant but accepts.

Quarterly data on zero-emission vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.

Number of Driving Licenses: Bihar: Professional: Authorised to Drive Public Service Vehicles data was reported at 13,572.000 Unit in 2020. This records a decrease from the previous number of 143,169.000 Unit for 2019. Number of Driving Licenses: Bihar: Professional: Authorised to Drive Public Service Vehicles data is updated yearly, averaging 110,868.000 Unit from Mar 2005 (Median) to 2020, with 8 observations. The data reached an all-time high of 143,169.000 Unit in 2019 and a record low of 13,572.000 Unit in 2020. Number of Driving Licenses: Bihar: Professional: Authorised to Drive Public Service Vehicles data remains active status in CEIC and is reported by Ministry of Road Transport and Highways. The data is categorized under India Premium Database’s Automobile Sector – Table IN.RAI001: Number of Driving Licenses.