Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.

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The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated).

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The variables for part 1 of the dataset are:

• Census usually resident population count
• Census night population count
• Age (5-year groups)
• Age (life cycle groups)
• Median age
• Birthplace (NZ born/overseas born)
• Birthplace (broad geographic areas)
• Ethnicity (total responses) for level 1 and ‘Other Ethnicity’ grouped by ‘New Zealander’ and ‘Other Ethnicity nec’
• Māori descent indicator
• Languages spoken (total responses)
• Official language indicator
• Gender
• Cisgender and transgender status – census usually resident population count aged 15 years and over
• Sex at birth
• Rainbow/LGBTIQ+ indicator for the census usually resident population count aged 15 years and over
• Sexual identity for the census usually resident population count aged 15 years and over
• Legally registered relationship status for the census usually resident population count aged 15 years and over
• Partnership status in current relationship for the census usually resident population count aged 15 years and over
• Number of children born for the sex at birth female census usually resident population count aged 15 years and over
• Average number of children born for the sex at birth female census usually resident population count aged 15 years and over
• Religious affiliation (total responses)
• Cigarette smoking behaviour for the census usually resident population count aged 15 years and over
• Disability indicator for the census usually resident population count aged 5 years and over
• Difficulty communicating for the census usually resident population count aged 5 years and over
• Difficulty hearing for the census usually resident population count aged 5 years and over
• Difficulty remembering or concentrating for the census usually resident population count aged 5 years and over
• Difficulty seeing for the census usually resident population count aged 5 years and over
• Difficulty walking for the census usually resident population count aged 5 years and over
• Difficulty washing for the census usually resident population count aged 5 years and over.

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Download lookup file for part 1 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

Te Whata

Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

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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), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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Study participation time series

In the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.

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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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Disability indicator

This data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.

Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.

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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

-997 Not available

-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.

The number of smartphone users in Belgium is projected to grow year-on-year. In 2020, the number of active smartphone users in Belgium amounted to **** million users. It is forecasted that there will be **** million active smartphone users in Belgium by 2025.

The dataset comprises three dynamic scenes characterized by both simple and complex lighting conditions. The quantity of cameras ranges from 4 to 512, including 4, 6, 8, 10, 12, 14, 16, 32, 64, 128, 256, and 512. The point clouds are randomly generated.

Statistical data on the number of meteorological systems in the Kingdom of Saudi Arabia, which shows the number of stations distributed in the Central region and the systems used to monitor weather.

Annual statistics of the number of ships and types of goods (on each dock)

Norway NO: Life Expectancy at Birth: Total data was reported at 82.510 Year in 2016. This records an increase from the previous number of 82.305 Year for 2015. Norway NO: Life Expectancy at Birth: Total data is updated yearly, averaging 76.241 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 82.510 Year in 2016 and a record low of 73.078 Year in 1963. Norway NO: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Population (Number) by Religion, Towns by Size, CensusYear and Sex

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No of Hospital Bed: North West: Liguria: Long Term Care data was reported at 330.000 Unit in 2015. This records an increase from the previous number of 180.000 Unit for 2014. No of Hospital Bed: North West: Liguria: Long Term Care data is updated yearly, averaging 47.000 Unit from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 394.000 Unit in 1994 and a record low of 0.000 Unit in 2008. No of Hospital Bed: North West: Liguria: Long Term Care data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Italy – Table IT.Eurostat: Health Care Statistics: Number of Hospital Bed.

Iceland Number of Registered Enterprises: Mfg: Other Electrical Equipment data was reported at 12.000 Unit in 2017. This records an increase from the previous number of 11.000 Unit for 2016. Iceland Number of Registered Enterprises: Mfg: Other Electrical Equipment data is updated yearly, averaging 11.000 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 12.000 Unit in 2017 and a record low of 7.000 Unit in 2008. Iceland Number of Registered Enterprises: Mfg: Other Electrical Equipment data remains active status in CEIC and is reported by Statistics Iceland . The data is categorized under Global Database’s Iceland – Table IS.O013: Number of Registered Enterprises: Statistical Classification of Economic Activities Revision 2.

This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; and number of employees whose NAICS classification has changed between the current and the previous economic censuses. Data are shown for 6-digit previous economic census NAICS industries and their 8-digit current economic census NAICS components for the U.S. Includes only establishments of firms with paid employees.

Iceland Number of Insolvencies: Real Estate Activities data was reported at 4.000 Unit in Jun 2018. This records a decrease from the previous number of 16.000 Unit for May 2018. Iceland Number of Insolvencies: Real Estate Activities data is updated monthly, averaging 7.000 Unit from Jan 2008 (Median) to Jun 2018, with 126 observations. The data reached an all-time high of 29.000 Unit in Oct 2011 and a record low of 0.000 Unit in Aug 2009. Iceland Number of Insolvencies: Real Estate Activities data remains active status in CEIC and is reported by Statistics Iceland . The data is categorized under Global Database’s Iceland – Table IS.O015: Number of Insolvencies: Statistical Classification of Economic Activities Revision 2.

An airline's or an aviation system's safety performance over a specified time period is measured by air safety statistics, particularly the number of significant incidents and accidents. An occurrence that almost caused an accident—such as critical system failures, runway excursions, or in-flight malfunctions—but did not cause significant damage or injuries is referred to as a serious incident. Significant repercussions from an accident include serious aircraft damage, injuries, or fatalities. Since safety is the cornerstone of aviation, this statistic is essential. Identifying operational flaws, technical problems, human-factor dangers, and procedural gaps is made easier by keeping track of occurrences and accidents. It makes it possible for airlines, safety organisations, and regulators to reinforce standard operating procedures, increase training, improve aircraft maintenance, and implement corrective actions. Safety data affect travellers' and analysts' trust in an airline's operating culture and dependability. These indicators serve as a roadmap for safety oversight, audits, and policy changes for regulators. Strong safety management systems, improved compliance, and a developed aviation ecosystem are all demonstrated by lower incident and accident rates. In the end, this kind of information is crucial for preserving confidence, stopping hazards from happening again, and guaranteeing ongoing advancements in aviation safety.

Household Composition (Number) by Age Group, Sex, Household Size and Year

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In 2020, the number of internet cafes in China dropped significantly to around ******. Majority of the annual revenue of internet cafes in China came from the internet access charge.

The "Utah 64 Small Health Statistics Areas" feature layer was developed by the Office of Public Health Assessment, Utah Department of Health using small area analysis methodology in 1997. Each feature was generated by combining a sufficient number of adjacent ZIP code area features to form a geographic area of approximately 33,500 persons (range 15,000 to 62,500). Criteria used for determining which ZIP code areas to combine together to form a Small Health Statistics Area included population size, local health district and county boundaries, similarity of ZIP code population's income level and community political boundaries. Input from local community representatives was used to refine area designations. The Utah 64 Small Health Statistics Areas provide a means of geographically analyzing and presenting health statistics at the community level. Producing information at the small area in Utah provides community planners and other with information that is specific to the populations living in their communities of concern. Small area analysis also allows an investigator to explore ecologic relationships between health status, lifestyle, the environment and the health system. In areas where a ZIP code crosses a county boundary, the 2008 and 2009 versions of Small Statistical Areas honor the ZIP code boundary leading to cases where a Small Statistical Areas can be in multiple counties. The 2012 and 2014 versions correct this issue by splitting ZIP code areas by county boundaries resulting in Small Statistical Areas that can only be found in one county. In the 2017 version, area 57 Grand/San Juan Counties was split into 2 areas, area 57.1 Grand county and 57.2 San Juan County.

This dataset is the definitive set of meshblock boundaries as defined by Statistics New Zealand as at 1 January 2015.

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Statistics New Zealand maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time. A meshblock is the smallest geographic unit for which statistical data is collected and processed by Statistics New Zealand. A meshblock is defined by a geographic area, which can vary in size from part of a city block to a large area of rural land. Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone. Meshblocks are added together to build up larger geographic areas such as area units and urban areas. They are also used to define electoral districts, territorial authorities, and regional councils.

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There are two ways of amending meshblock boundaries.

1. Splitting is subdividing a meshblock into two or more meshblocks.
2. Nudging is shifting a boundary to a more appropriate position.

Reasons for splits and nudges include:

• to accommodate changes to local government boundaries, which are required by the Local Government Act 2002 to follow meshblocks for electoral purposes
• to accommodate changes to parliamentary electoral boundaries, following each Electoral Representation Commission review after each five-yearly Census of Population and Dwellings
• to make changes to statistical boundaries such as area units and urban areas
• to enable changes to census collection districts
• to improve the size balance of meshblocks in areas where there has been population growth
• to separate land and water – eg mainland, islands, inlets, and oceanic are defined separately.
• to accommodate requests from other users of the meshblock pattern eg the NZ Police for their station, area, and district boundaries.

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Meshblock numbering process until 2014 (MB 2014)

Meshblocks were allocated a unique seven-digit number. The first five digits were unique, and referred to the original 1976 meshblock code. The two end numbers refer to sequential meshblock splits to the original meshblock. When a meshblock is split the final two digits of the original meshblock number are changed. Exceptions to this rule are a small number of meshblocks where no more numbers in the sequence are available. Accordingly there were some meshblocks in Auckland and Tauranga City starting with 32xxxxx. Statistics New Zealand maintains a concordance file to ensure that boundaries relating to earlier meshblock patterns can also be produced.

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Meshblock numbering process from 2015 (MB 2015)

Due to new technology being introduced for splitting and nudging meshblocks, the process for allocating a unique seven-digit number has changed. New meshblock numbering is approximately sequential. The first meshblock number in this new sequential numbering pattern is 4000000. This differentiates meshblocks split from MB2015 onwards, and allows for a large number of unique seven digit identifiers to be allocated. Now when a meshblock is split it takes on the next available number, rather than following the former process described above.

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Digital geographic boundary data became freely available on 1 July 2007.

Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

The statistic shows the number of pre-schools in China between 2013 and 2023. In 2023, in total ******* pre-schools were recorded in China.