This statistic shows the benefits customers in the United States expect to enjoy if chatbots were available for the online services they use as of November 2017, by generation. During the survey, ** percent of Millennials respondents stated that they expect to enjoy ** hour service.

AI-driven engagement is forecasted to be the fastest growing customer experience technology use case in the world between 2017 and 2022, with a compound annual growth rate (CAGR) of around **** percent. Interaction management and ubiquitous commerce trail close behind, both boasting a CAGR of over ** percent. Customer experience platforms allow companies to analyze usage information and customer preferences in order to improve user experience.

Court Services Division conducted a Customer Satisfaction Survey in 2017. The survey ran for a 5 week period commencing on Friday, March 10, 2017 and ended on Thursday, April 13, 2017. The purpose of this survey was to gather feedback on how well Court Services was doing in the area of Customer Service and to identify areas which required improvement.

This provides the underlying data and volumes behind the reported performance of CSG Customer Service and presented quarterly to the Performance and Contract Management Committee. It is recognised that the email volumes recorded do not reflect the total number of emails received by the council, as has always been the case, and includes some webforms. This does not affect the quality of the service but needs to be addressed to show the full level of email and webform contact across the council’s services.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2017.Table ID.ABSCS2017.AB00MYCSA01A.Survey/Program.Economic Surveys.Year.2017.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2020-05-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Sex Female Male Equally male/female Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2017 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY20-008).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2017/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsS - Estimate does not meet publication standards because of high sampling variability,...

Graph and download economic data for Consumer Price Index for All Urban Consumers: Services in Cleveland-Akron, OH (CMSA) (DISCONTINUED) (CUUSA210SASS) from H1 1984 to H2 2017 about Akron, Cleveland, OH, urban, consumer, services, CPI, price index, indexes, price, and USA.

This statistic shows the share of wireless service customers in the United States who would not switch their wireless service provider in 2017 and 2018. ** percent of T-Mobile's mobile customers said that would not switch from T-Mobile to another carrier in 2017. For 2018 that share dropped to ** percent for T-Mobile. All major wireless service providers experienced an increase in customers willing to switch providers.

United States CPI U: AW: Medical Care: Services: Hospital & Related (HR) data was reported at 2.576 % in 2017. This records an increase from the previous number of 2.512 % for 2016. United States CPI U: AW: Medical Care: Services: Hospital & Related (HR) data is updated yearly, averaging 1.610 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 2.576 % in 2017 and a record low of 1.334 % in 1997. United States CPI U: AW: Medical Care: Services: Hospital & Related (HR) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I011: Consumer Price Index: Urban: Weights (Annual).

United States CPI U: AW: FB: Food: Away: Limited Service Meals & Snacks data was reported at 2.478 % in 2017. This records an increase from the previous number of 2.459 % for 2016. United States CPI U: AW: FB: Food: Away: Limited Service Meals & Snacks data is updated yearly, averaging 2.455 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 2.746 % in 2003 and a record low of 1.654 % in 2000. United States CPI U: AW: FB: Food: Away: Limited Service Meals & Snacks data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I011: Consumer Price Index: Urban: Weights (Annual).

United States CPI U: AW: Medical Care: Services: Professional: Dental data was reported at 0.812 % in 2017. This records a decrease from the previous number of 0.816 % for 2016. United States CPI U: AW: Medical Care: Services: Professional: Dental data is updated yearly, averaging 0.779 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 0.879 % in 2001 and a record low of 0.704 % in 2005. United States CPI U: AW: Medical Care: Services: Professional: Dental data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I011: Consumer Price Index: Urban: Weights (Annual).

This data is a portion of a larger dataset, composed by over 120 million data points, collected by Starsift LLC for the Grocerybear Project (www.grocerybear.com) every day between January 2017 and May 2018 for over 50,000 unique items in about 750 commercial categories for eleven US cities: Boise, Honolulu, Houston, Las Vegas, Los Angeles, Orlando, Phoenix, Portland, San Francisco, Seattle, and Washington DC. This dataset is composed by 5 csv files, one for each CPI-U Entry Level Item disclosed: Apples, Bread, Butter, Cigarettes, and Coffee. Each file presents the following columns: Year, Month, Product name, Product code, City, Store Chain, Average price in the month. Store chains have been anonymized. This project also includes an R file to calculate sub-national consumer price indexes using the Time-interaction-Region Product Dummy (TiRPD) model.

France Consumer Price Index (CPI): Weights: Health: Out-patient Services data was reported at 600.000 NA in 2017. This records an increase from the previous number of 598.000 NA for 2016. France Consumer Price Index (CPI): Weights: Health: Out-patient Services data is updated yearly, averaging 523.500 NA from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 600.000 NA in 2017 and a record low of 395.000 NA in 1990. France Consumer Price Index (CPI): Weights: Health: Out-patient Services data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.I009: Consumer Price Index: Weights: Annual.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Other Personal Services in Midwest - Size Class D (DISCONTINUED) (CUUSD200SAGS) from H1 2010 to H2 2017 about midwest, urban, personal, consumer, services, CPI, inflation, price index, indexes, price, and USA.

This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for January 2018. The CSDS is a patient-level dataset providing information relating to publicly funded community services for children, young people and adults. These services can include health centres, schools, mental health trusts, and health visiting services. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young People's Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available in the related links below. References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

This statistic presents the likelihood of consumers in the United States to use order ahead services when available in restaurants or coffee shops in 2017. According to the May 2017 survey, eight percent of consumers stated that they would definitely use this service if it was available.

INPC: Weights: Rio de Janeiro: Health and Personal Care: Health Services data was reported at 2.682 % in Mar 2025. This records a decrease from the previous number of 2.705 % for Feb 2025. INPC: Weights: Rio de Janeiro: Health and Personal Care: Health Services data is updated monthly, averaging 2.663 % from Jan 2020 (Median) to Mar 2025, with 63 observations. The data reached an all-time high of 2.800 % in Sep 2020 and a record low of 2.403 % in Jun 2022. INPC: Weights: Rio de Janeiro: Health and Personal Care: Health Services data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Inflation – Table BR.IC066: Consumer Price Index - INPC: POF: 2017-2018: Dec1993=100: Weights: by Municipality: Rio de Janeiro: Rio de Janeiro.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Education and Communication Services in South - Size Class D (DISCONTINUED) (CUUSD300SAES) from H1 2010 to H2 2017 about south, communication, education, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

This statistic shows the main account types and services used by Bunq customers in the Netherlands in 2017. In 2017, approximately ** percent of the respondents who use an account or service from Dutch bank Bunq indicated they use a current account. In the Netherlands, a few large institutions dominate the domestic financial markets. In 2015, for example, the five largest Dutch credit institutions, which includes the likes of ING, Rabobank and ABN Amro, held approximately 85 percent of the total assets. The Dutch banking sector, consequently, is one of the most concentrated in Europe.