According to a survey conducted in 2018, over ** percent of respondents were eligible for remote work for a day or less than a day per week. However, about five percent holding roles such as financial managers, market research analysts, statisticians were allowed to work ***** to **** days per week remotely.

A survey published in 2018 revealed that nearly six out of ten companies (57 percent) in Mexico offered some kind of home office solution. In turn, almost half of the Mexican workers surveyed said they would change their job if they had the possibility of working remotely or from home.

Hungarians who did not work remotely had a much more negative attitude towards home office than remote working respondents of the survey in 2018. Almost 90 percent of Hungarians who worked remotely agreed that it was easier to maintain a healthy work-life balance while working from home.

According to a survey conducted in 2024, close to ** percent of employed persons in Japan had ever done telework in their current job. The share of respondents who have worked remotely before was the highest in the ************* Area at **** percent.

According to a survey conducted in October 2024, almost ** percent of employed persons in Japan had worked remotely at some point in their current job. The share of respondents who had done telework before peaked in 2021 and has been on a downward trend since. Telework in Japan Telework was not widely spread in Japan before the COVID-19 pandemic. Only ** percent of businesses offered remote work as an option in 2019. However, the percentage of corporations that had introduced telework more than doubled with the beginning of the pandemic, reaching ** percent in 2020. Japan’s rigid business culture which emphasizes face-to-face communication was one of the reasons for businesses refraining from offering telework. Low levels of digitalization, reflected in businesses’ reliance on paperwork, and the practice of using hanko seals to sign paper documents in daily business procedures, also held back the spread of more flexible work arrangements. Unequal access to remote working options A closer look at the teleworking population in Japan revealed that remote work was most prevalent in the metropolitan areas of Japan. The uptake of telework was particularly high in *****, where more than ********* of workers had worked remotely before. Employees of large corporations were more likely to engage in telework than those working for small and mid-sized businesses. Furthermore, the survey conducted in 2024 revealed a gender gap among remote workers, with a higher share of men than women doing telework.

Dataset shows an individual’s statistical area 3 (SA3) of usual residence and the SA3 of their workplace address, for the employed census usually resident population count aged 15 years and over, by main means of travel to work from the 2018 and 2023 Censuses.

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The main means of travel to work categories are:

• Work at home
• Drive a private car, truck, or van
• Drive a company car, truck, or van
• Passenger in a car, truck, van, or company bus
• Public bus
• Train
• Bicycle
• Walk or jog
• Ferry
• Other.

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Main means of travel to work is the usual method which an employed person aged 15 years and over used to travel the longest distance to their place of work.

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Workplace address refers to where someone usually works in their main job, that is the job in which they worked the most hours. For people who work at home, this is the same address as their usual residence address. For people who do not work at home, this could be the address of the business they work for or another address, such as a building site.

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Workplace address is coded to the most detailed geography possible from the available information. This dataset only includes travel to work information for individuals whose workplace address is available at SA3 level. The sum of the counts for each region in this dataset may not equal the total employed census usually resident population count aged 15 years and over for that region. Workplace address – 2023 Census: Information by concept has more information.

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This dataset can be used in conjunction with the following spatial files by joining on the SA3 code values:

• Statistical area 3 2023 (generalised)

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Download data table using the instructions in the Koordinates help guide.

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Footnotes

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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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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. 

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. 

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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).

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Workplace address time series

Workplace address time series data should be interpreted with care at lower geographic levels, such as statistical area 2 (SA2). Methodological improvements in 2023 Census resulted in greater data accuracy, including a greater proportion of people being counted at lower geographic areas compared to the 2018 Census. Workplace address – 2023 Census: Information by concept has more information.

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Working at home

In the census, working at home captures both remote work, and people whose business is at their home address (e.g. farmers or small business owners operating from their home). The census asks respondents whether they ‘mostly’ work at home or away from home. It does not capture whether someone does both, or how frequently they do one or the other.

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Rows excluded from the dataset

Rows show SA3 of usual residence by SA3 of workplace address. Rows with a total population count of less than six have been removed to reduce the size of the dataset, given only a small proportion of SA3-SA3 combinations have commuter flows.

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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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Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

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Main means of travel to work quality rating

Main means of travel to work is rated as moderate quality.

Main means of travel to work – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Workplace address quality rating

Workplace address is rated as moderate quality.

Workplace address – 2023 Census: Information by concept has more information, 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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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.

As of 2018, over 122 thousand workers in Colombia opted for the option of working remotely. Bogotá was the city with the highest number of people who worked outside the office, with almost 64 thousand workers. Medellín came in second, with nearly 30 thousand. A recent survey revealed that Colombia is one of the Latin American countries with the highest adoption of home office practices.

More and more business service centres in Poland offer their employees a flexible employment policy. In 2019, more than 90 percent of companies allowed remote working, and every tenth of them provided employees with pay supplements related to remote working in Poland.

This dataset contains counts for urban accessibility geography by region for selected variables from the 2018, 2013, and 2006 censuses. Estimated resident populations for 1996–2020 are also included.

Urban accessibility measures the degree of urban influence New Zealand’s urban areas have on surrounding rural areas. It classifies the geographic accessibility of rural statistical area 1s (SA1s) and small urban areas according to their proximity, or degree of remoteness, to larger urban areas. To find out more about the urban accessibility classification see Urban accessibility – methodology and classification.

The urban accessibility categories are:

· major urban area – 100,000 or more residents

· large urban area – 30,000–99,999 residents

· medium urban area – 10,000–29,999 residents

· high urban accessibility – small urban areas (1,000–9,999 residents) and rural SA1s within 0 to 15 minutes from major urban areas

· medium urban accessibility – small urban areas and rural SA1s within: 15 to 25 minutes from major urban areas, 0 to 25 minutes from large urban areas, 0 to 15 minutes from medium urban areas

· low urban accessibility – small urban areas and rural SA2s within: 25 to 60 minutes from major or large urban areas, 15 to 60 minutes from medium urban areas

· remote – small urban areas and rural SA1s within 60 to 120 minutes from major, large, or medium urban areas

· very remote – small urban areas and rural SA1s more than 120 minutes from major, large, or medium urban areas

· water areas – inland water, inlet, oceanic.

The dataset uses geographic boundaries (SA1, urban area, regional council) as at 1 January 2018. For explanation of geographies see Statistical standard for geographic areas 2018.

Included in this dataset:

· estimated resident population at 30 June 1996-2020

· 2006, 2013, and 2018 Census usually resident population and sex

· 2018 Census usually resident: age (10-year groups), median age, ethnic group, birthplace, work and labour force status, status in employment, occupation, industry, highest qualification, sources of personal income, total personal income (grouped), median income, individual home ownership, languages spoken, religious affiliation, main means of travel to work by usual residence address, main means of travel to education by usual residence address, New Zealand Index of deprivation

· 2018 Census dwellings: dwelling type, main types of heating used, dwelling dampness, dwelling mould

· 2018 Census households: tenure of household, access to telecommunication systems; number of motor vehicles.

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.

Medians are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculation. Medians based on less than six individuals are suppressed.

For further information on this dataset please refer to the 2018 Census urban accessibility dataset** **on the 2018 Census webpage - Excel workbook (including data quality ratings and footnotes).

Most Internet users in Belgium did not work from home in 2018. Indeed, roughly one in ten people used remote work on a daily basis. According to a national IT survey, although available data is lacking, telecommuting was said to increase in Belgium.

More than ** percent of companies in Japan with a capital size between *** to **** billion Japanese yen offered telecommuting as a work option in 2023. The share of companies offering remote work more than doubled from 2019 to 2020, as remote work became a common measure to curb the spread of COVID-19 in 2020.

In 2020, approximately *** million people worked mainly from home in the United Kingdom, an increase of around **** million people when compared with 1998, when just *** million workers mainly worked from home. As a share of all workers in the United Kingdom, this was the equivalent of **** percent of the UK workforce, compared with **** percent in 1998. Rise of the hybrid workforce More recent figures on working location trends in Great Britain, indicate that as of June 2025, around ** percent of workers had worked from home exclusively in the last seven days, with a further ** percent only travelling to work. Just over a ******* of British workers, however, had both worked from home and traveled to work in the last seven days. Although less common than only travelling to work, hybrid working has generally been more popular than only working at home since around Spring 2022 and is possibly one of the most enduring impacts that COVID-19 had on the labor market. Demographics of homeworkers While advancements in internet connectivity and communication software have enabled more people to work from home than ever before, there are still obvious disparities in the share of homeworkers by industry. Over **** of the UK’s agriculture workforce in 2020 regularly worked from home, compared with just *** percent of those that worked in accommodation or food service. In the same year, the region with the highest share of people working from home was South West England at **** percent, while Northern Ireland had the lowest at just *** percent.

As of 2023, 8.9 percent of employed people in the European Union usually worked from home. This share of home-office workers varied widely between European countries, with a 21 percent of finish workers usually working from home, compared to only one percent of Romanian workers. It was in general more common for women to work from home usually than men, however, this was notably reversed in some countries, such as Ireland where almost 23 percent of men regularly worked from home.