This statistic shows the average length of vehicle ownerships in the United States in 2006 and 2016, by vehicle type. In 2016, new-car buyers kept their vehicles for about 79 months, up from around 52 months in 2006.

This statistic shows the length of car ownerships in the United States in 2001 and 2012. In 2012, new-car buyers kept their vehicles for about **** months.

The statistic shows the length of car ownership in China in 2012. In 2012, one percent of interviewees in China bought their cars more than 10 years ago.

Miles of public roads by the roadway's ownership and whether rural or urban for the 50 states, DC, and Puerto Rico from FHWA Highway Statistics table HM-10. (Note: In 2011, Ownership added a new value for "unreported.")

This statistic depicts the average total length of stay at U.S. nursing homes in 2014 and 2015, by status of ownership. In 2015, the average length of stay stood at *** days at government owned nursing homes.

A quarter of bicycle owners in Germany have owned their bicycle for over *** years, according to a bicycle study published by linexo by Wertgarantie. Just over *** in *** bikes had been purchased within the previous year.

In 2021, most respondents (61 percent) in Poland owned electric cars for no longer than one year.

BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

This dataset tracks the updates made on the dataset "DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States" as a repository for previous versions of the data and metadata.

All Census information is as of April 1, 2014. Ages of residents are effective April 1, 2014. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 49 are not posted to protect the information collected. The designation of “No Response” includes households from which no census data could be collected or only partial data was available. Bulk-count data from multiple-resident facilities (such as group homes, transient drop-in centres, residential hotels or criminal detention centres) may be limited when personal information cannot be obtained (i.e. information is not available or cannot be released by the facility administration).

According to a bicycle study published by linexo by Wertgarantie, ** percent of e-bike owners in Germany have owned their current electric bike for between one and two years. An additional ** percent of e-bike owners had purchased their bike within the previous year. E-bike owners are much more likely to have purchased their bike recently than manual bike owners, where over a quarter have owned their bike for 10 years or more.

All Census information is as of April 1, 2016. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 50 are not posted to protect the information collected. Responses are voluntary consequently response rates vary among questions, neighbourhoods and wards.

New Homeowner Data is a subset of our comprehensive property intelligence database that can be segmented by specific property criteria, household demographics, mortgage, and real estate portfolio information.

Companies in the home services, financial products, and consumer products industries use BatchData to identify new homeowners who have purchased a property in the last 90 days and uncover their direct phone number, email, and mailing address for timely marketing of products and services new homeowners need. New homeowner data can also be segmented property type (residential real estate or commercial real estate), length of ownership, owner occupancy status, and more!

New homeowner data is available in a variety of data delivery and data enrichment modes: API (you pull data from us using an API), webhook (we push data to you using an API), AWS S3 upload (we deliver the data to you), S3 download (you download the data from our S3 bucket), SFTP.

BatchData is both a data and technology solution helping companies in and around the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate contact information for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, and power their products and services.

Animal shelters aim to divert intake by encouraging pet retention in homes (e.g., support services) or through alternative methods of surrender (e.g., self-rehoming); however, it remains unclear what factors contribute to decisions to seek pet support services, as well as select different methods to surrender a pet. Using a sample of 452 U.S. and Canadian public members who rehomed a dog or cat within the past five years, the present study identified groups of pet owners who share similar patterns of responses to surrender circumstances using latent class analysis. The model revealed three heterogeneous classes of surrendering pet owners distinguished largely by the reason for surrender and the length of ownership. Comparisons revealed differences across classes regarding the proportion of respondents, the pathways used to surrender, and the concerns reported by respondents during surrender. Qualitative analysis revealed that respondents wanted or sought a variety of different support services, including behavioural support, part-time care, and veterinary care. Future research should consider the heterogeneity in surrender decision-making when addressing issues of intake diversion from animal shelters.

Explore the historical Whois records related to cut-to-length-line.net (Domain). Get insights into ownership history and changes over time.

This study of 767 adults in the Detroit metropolitan area provides information on their religious beliefs and practices, as well as their feelings about various forms of taxation such as sales tax, income tax, and property tax. The collection was a combination of two separate studies: THE VITALITY OF SUPERNATURAL EXPERIENCE by Guy Swanson, and A FISCAL RESEARCH PROGRAM by Harvey Brazer. Respondents were asked about their beliefs in the existence and characteristics of God, the amount of influence they felt that God had in their life, and how they thought God would feel about various situations. Also explored was the membership and level of activity in formal organizations for both the respondent and the respondent's spouse. The respondent was also asked to evaluate the performance of several institutions and professional groups such as colleges, their position on televisions in classrooms, the Federal Courts, doctors, and scientists. In addition, the respondent was asked to list the problems in the United States that were badly in need of resolution and to evaluate who was to blame for the problems and what could be done to solve them. Other items probed the respondent's opinions of educational television stations, the comparative quality of utility companies' services, government spending, and the most important things in life. Attitudes toward the use of taxes or use fees to pay for parks and garbage collection were also elicited. Demographic variables specify age, sex, race, education, place of birth, marital status, occupation, length of residence in the Detroit area, home ownership, length of time at present residence, number of children, original nationality of husband's and wife's family, political affiliation, and amount and sources of income.

Parcels and Land Ownership dataset current as of 2011. Dorchester County Parcel Lines - some records include distance and direction (COGO information).