This statistic shows the share of customers by if they expect the representative to know their contact, product and service information/ history when they contact a brand or organization for customer service in 2018. During the survey, 70 percent of respondents from the United States stated that they expect the customer service representative to know their contact, product and service information/ history.

This statistic shows the share of customers in the U.S. and worldwide by if they have ever stopped doing business with a brand due to a poor customer service experience in 2018. During the survey, 62 percent of respondents from the United States stated that they have stopped doing business with a brand due to a poor customer service experience.

This statistic demonstrates the share of customer service agents worldwide who say their interactions with customers are relationship-oriented in 2018, by type. During the survey, 81 percent of high performing customer service agents believed their interactions with customers in 2018 are relationship-oriented.

This statistic shows what metrics service organizations use worldwide in 2018. During the survey, ** percent of service organizations said that they use a customer satisfaction metric, and ** percent said they use an employee experience metric.

In a 2018 all center industry survey, 48 percent of customer service leaders worldwide stated that they assess customer satisfaction by individual channel tracking. The same survey revealed that 46 percent of call center operators were at the "developing" stage.

This statistic shows the global spending on marketing, planning and customer services in the aerospace industry from 2018 to 2037. Between 2018 and 2027, it is expected that airlines will spend approximately 199 billion U.S. dollars on marketing, planning and customer services worldwide.

005 -- Vital statistics by quarter in 1987 to 2018

This publication provides the most timely statistics available relating to NHS funded secondary mental health, learning disabilities and autism services in England. This information will be of use to people needing access to information quickly for operational decision making and other purposes. These statistics are derived from submissions made using version 2.0 of the Mental Health Services Dataset (MHSDS). NHS Digital review the quality and completeness of the submissions used to create these statistics on an ongoing basis. More information about this work can be found in the Accuracy and reliability section of this report. Fully detailed information on the quality and completeness of particular statistics in this release is not available due to the timescales involved in reviewing submissions and engaging with data providers. The information that has been obtained at the time of publication is made available in the Provider Feedback sections of the Data Quality Reports which accompany this release. Information gathered after publication is released in future editions of this publication series. More detailed information on the quality and completeness of these statistics and a summary of how these statistics may be interpreted is made available later in our Mental Health Bulletin: Annual Report publication series. All elements of this publication, other editions of this publication series, and related annual publication series' can be found in the Related Links below. From May 2018 Learning disabilities and autism service specific statistics will move to its own monthly publication and, as such, be removed from this publication; further information will be available in future publications. If you have any feedback on these proposed changes please send these to enquiries@nhsdigital.nhs.uk with 'MHSDS Monthly' in the subject. The Mental Health Data Hub was launched In February 2018; the hub brings together information on mental health data into a single place and contains visualisations and time series of select data from within this publication. The hub is available here: https://digital.nhs.uk/data-tools-and-services/services/mental-health-data-hub. Included in this months publication are two exploratory analyses. The first is an exploratory piece of analysis on bed types and the differing methodologies that can be used for reporting. The second exploratory analysis is an analysis of women in contact with mental health services who were new or expectant mothers between January 2017 and December 2017. A correction has been made to this publication on 10 September 2018. This amendment relates to statistics in the monthly CSV data file; the specific measures effected are listed in the “Corrected Measures” CSV. All listed measures have now been corrected. NHS Digital apologises for any inconvenience caused.

United States Exports: sa: Service: Financial data was reported at 9.747 USD bn in Oct 2018. This records an increase from the previous number of 9.644 USD bn for Sep 2018. United States Exports: sa: Service: Financial data is updated monthly, averaging 5.361 USD bn from Jan 1999 (Median) to Oct 2018, with 238 observations. The data reached an all-time high of 9.747 USD bn in Oct 2018 and a record low of 1.406 USD bn in Jan 1999. United States Exports: sa: Service: Financial data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA077: Trade Statistics: Services.

In 2018, a Customer Service Representative in Italy earned on average **** thousand euros annually, whereas the average annual gross salary of a Director of Customer Service added up to **** thousand euros. The graph, based on data provided by JobPricing, offers a general overview of the annual gross salaries in the customer service and afte- sales sector. It includes the salary figures for selected job titles across different grading levels.

United States Imports: sa: Service: Charges for the Use of Intellectual Property data was reported at 4.988 USD bn in May 2018. This records an increase from the previous number of 4.934 USD bn for Apr 2018. United States Imports: sa: Service: Charges for the Use of Intellectual Property data is updated monthly, averaging 2.439 USD bn from Jan 1999 (Median) to May 2018, with 233 observations. The data reached an all-time high of 5.745 USD bn in Feb 2018 and a record low of 1.040 USD bn in Jan 1999. United States Imports: sa: Service: Charges for the Use of Intellectual Property data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA019: Trade Statistics: Services.

Latest Monthly statistics on Learning Disabilities and Autism (LDA) from the Assuring Transformation collection and MHSDS collection. This publication brings together the LDA data from the Assuring Transformation collection and the LDA service specific statistics from the Mental Health Statistics Data Set (MHSDS). There are differences in the inpatient figures between the MHSDS and AT data sets and work is underway to better understand these. NHS Digital plans to publish additional monthly comparator data from this work in future publications. The MHSDS LDA data are currently labelled experimental as they are undergoing evaluation. Further information on the quality of these statistics is available in the Data Quality section of the main report. It is planned that the MHSDS will become the sole source of inpatient LDA data in the future, replacing Assuring Transformation. There is a slight difference in scope between the two data collections. The MHSDS data is from providers based in England and includes care provided in England but may be commissioned outside England. Whereas the Assuring Transformation data are provided by English commissioners and healthcare will typically be provided in England but also includes data on care commissioned in England and provided elsewhere in the UK. The release comprises: Assuring Transformation Publication: This statistical release published by NHS Digital makes available the most recent data relating to patients with learning disabilities and/or autistic spectrum disorder receiving inpatient care commissioned by the NHS in England MHSDS LDA Publication: This publication provides statistics relating to NHS funded secondary mental health, learning disabilities and autism services in England. These statistics are derived from submissions made using version 3.0 of the Mental Health Services Dataset (MHSDS). Prior to May 2018 the LDA service specific statistics were included in the main MHSDS publication. Each publication consists of the following documents: •A report which presents England level analysis of key measures. •An excel reference data tables showing data as reported and total patient counts. For AT these are retrospectively updated from March 2015 onwards. This includes some further cross-tabulations of the data. •A monthly CSV file which presents key measures at England level. •A metadata file to accompany the CSV file, which provides contextual information for each measure. An easy read version of both main reports highlighting key findings in an easy-to-understand way. 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 link to the form at the bottom of this page to provide us with any feedback or suggestions for improving the report. The AT reference data file was replaced on 9 October 2018 to correct some minor rounding errors in Table 25. All other tables have remained the same.

Dataset contains counts and measures for dwellings from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 1.

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The variables included in this dataset are for occupied private dwellings (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated):

• Access to basic amenities (total responses)
• Dwelling dampness
• Dwelling mould
• Dwelling occupancy status for all dwellings for levels 1 and 2
• Dwelling type for occupied dwellings for levels 1 and 2
• Fuel types used to heat dwellings (total responses)
• Main types of heating used (total responses)
• Number of bedrooms
• Average number of bedrooms
• Number of rooms
• Average number of rooms.

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Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

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Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Concept descriptions and quality ratings

Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.

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Symbol

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

This lookup table refers to the web service 2018 Census individual part 3b data by SA1. The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 3b) dataset is displayed by statistical area 1 geography and contains information on: • Total hours worked in employment per week • Main means of travel to work, by usual residence address • Main means of travel to work, by workplace address* • Unpaid activities

• Workplace address is coded from information supplied by respondents about their workplaces. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The statistical area 1 dataset for 2018 Census excludes these ‘not further defined’ areas.

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, and values of ‘Null’ indicate data not collected.

The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 2018. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt and the Bureau of Justice Statistics. Data and documentation were prepared by Abt.