In 2021, 70 percent of respondents from a global survey indicate using Retool as low/no code platform for internal apps. Zapier, Airtable, and Google AppSheet are other popular platforms. Low-code and no-code development platforms are software development environments that allow developers to drag and drop application components to create mobile or web applications. These platforms are popular as they let professionals develop quickly and also enable non-IT professionals to build applications without much prior knowledge.

In a 2024 Onymos survey, 84 percent of organizations in the U.S. reported that they had extreme or somewhat reliance on low-code/no-code SaaS solutions. Low-code and no-code platforms allow the user to create applications with minimal to no coding at all. Accessibility and ease of use make these platforms a popular choice among many organizations looking to reduce costs and increase development speed.

Access the summary of the No-code Development Platforms market report, featuring key insights, executive summary, market size, CAGR, growth rate, and future outlook.

In 2021, 42 percent of respondents from a global survey agree strongly that they are planning on building internal tools in the future with low/no code platforms. Overall, respondents state that low/no code platforms meet their needs when developing while enjoying it, too.

The global no-code AI platform market is projected to reach a valuation of US$ 4,094.7 million in 2023. The no-code AI platform market is expected to reach US$ 49,481.0 million by 2033 and exhibit growth at a CAGR of 28.3% from 2023 to 2033.

Attributes	Key Statistics
No-code AI Platform Market Estimated Size (2023)	US$ 4,094.7 million
Projected Market Valuation (2033)	US$ 49,481.0 million
Value-based CAGR (2023 to 2033)	28.3%
Collective Value Share: Top 5 Vendors	Around 35%

Country-wise Insights

Country	The United States
Market Share % (2022)	19.3%

Country	India
Market CAGR % (2023 to 2033)	32.3%

Country	Japan
Market Share % (2022)	4.3%

Category-wise Insights

Segment	No-code AI Tools
Market Share % (2022)	64.3%

Segment	Natural Language Processing
Market Share % (2022)	43.3%

Scope of the Report

Attribute	Details
Estimated Market Size (2023)	US$ 4,094.7 million
Projected Market Valuation (2033)	US$ 49,481.0 million
Value-based CAGR (2023 to 2033)	28.3%
Forecast Period	2023 to 2033
Historical Data Available for	2018 to 2022
Market Analysis	Value (US$ million)
Key Regions Covered	North America, Latin America, Europe, South Asia & Pacific, East Asia, and the Middle East & Africa
Key Countries Covered	The United States, Canada, Germany, The United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Australia & New Zealand, GCC Countries, and South Africa
Key Segments Covered	Solution, Technology, Enterprise Size, Industry, and Region
Key Companies Profiled	Clarifai Inc Caspio Inc Google Amazon Microsoft Akkio Inc Apteo Runway QuickBase Inc AgilePoint Inc MonkeyLearn Levity Intersect Labs Apple DataRobot Inc
Report Coverage	Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities and Threats Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives

The global low-code platform market revenue is valued at almost 22.5 billion U.S. dollars in 2022 and is forecast to reach approximately 32 billion U.S. dollars in 2024. The market is projected to grow with a CAGR of 26.1 percent over this period. What are low-code development platforms? Low-code platforms allow developers to create applications through graphical user interfaces rather than traditional coding methods. These solutions are suitable for non-technical staff, as little to no coding experience is required to build applications using low-code platforms. Accordingly, non-technical staff participate in the changing enterprise application development process, which includes ideation, design, implementation, and deployment. What is driving the need for low-code platforms? The rising number of citizen developers as well as the increasing demand of applications for business organizations are key factors driving the advancement of low-code platforms. IT operations take place in dynamic environments which demand rapid customization options in the software development process, which low-code development platforms seek to address. As a result, these platforms reduce time to market and backlogs, allowing businesses to realize value sooner at less cost. Retool, Zapier, and Airtable are among the leading low-code and no-code platforms for internal apps.

According to a survey conducted between late 2021 and early 2022, Microsoft PowerApps and Google AppSheet were the leading low-code/no-code tools with around 40 percent usage among respondents. Low-code and no-code tools enable the development of applications with reduced complexity.

In 2021, 38 percent of respondents indicate prototyping a new idea or product with no-code tools. No-code helps both technical and non-technical users automate processes. Instead of using traditional computer programming, graphical user interfaces are used to perform tasks.

The leading no code development companies in Russia had a revenue of around 2.3 billion Russian rubles in 2023, an increase of 38 percent from the previous year. The segment of instruments and platforms allowing users to create products without coding was the largest. In 2024, its revenue was forecast to reach approximately 2.5 billion Russian rubles.

In 2021, 29 percent of respondents from a global survey indicated that low-code development is between 40 and 60 percent faster than traditional development. No-code and low-code platforms can help alleviate pressure on IT staff as the technology allows business users to develop applications themselves. This is due to the fact that little to no coding expertise is required for working with no-code and low-code platforms.

Context: Software code review aims to early find code anomalies and to perform code improvements when they are less expensive. However, issues and challenges faced by developers who do not apply code review practices regularly are unclear. Goal: Investigate difficulties developers face to apply code review practices without limiting the target audience to developers who already use this practice regularly. Method: We conducted a web-based survey with 350 Brazilian practitioners engaged on the software development industry. Results: Code review practices are widespread among Brazilian practitioners who recognize its importance. However, there is no routine for applying these practices. In addition, they report difficulties to fit static analysis tools in the software development process. One possible reason recognized by practitioners is that most of these tools use a single metric threshold, which might be not adequate to evaluate all system classes. Conclusion: Improving guidelines to fit code review practices into the software development process could help to make them widely used. Additionally, future studies should investigate whether multiple metric thresholds that take source code context into account reduce static analysis tool false alarms. Finally, these tools should allow their use in distinct phases of the software development process.

Programming Software Market size was valued at USD 30.9 Billion in 2024 and is projected to reach USD 147.8 Billion by 2031, growing at a CAGR of 23.4% during the forecast period 2024-2031.

Global Programming Software Market Drivers

Technological Innovation: The market for programming software is primarily driven by technological advancements. The landscape is always changing due to advancements in programming languages, frameworks, and tools, which empower developers to produce increasingly complex and effective software solutions. The need for programming software that supports cutting-edge technologies like cloud computing, AI, machine learning, and the Internet of Things (IoT) is increasing.

Growing Need for Customized Solutions: Companies in a variety of sectors are depending more and more on software solutions made to meet their unique requirements. The need for programming tools that makes it possible for developers to quickly and effectively create highly customized apps is driven by this desire. The market is becoming more and more competitive, and this is driving up demand for programming tools that are both versatile and scalable.

Move Towards Open Source Software: Due to its affordability, adaptability, and collaborative nature, open source software has seen a sharp increase in popularity in recent years. Because of its accessibility and active community support, open source programming software is preferred by many developers and organizations. As a result, open source tools and frameworks are becoming more popular in the programming software market.

The use of DevOps principles, which prioritize cooperation between development and operations teams to expedite software delivery, is on the rise. These practices are being embraced by enterprises looking to increase their efficiency and agility. Programming software that enables smooth integration, automation, and continuous delivery inside the DevOps pipeline is in high demand due to this trend.

A Growing Focus on Security: As a result of the increase in cyberattacks and data leaks, security is now the top priority for businesses creating software solutions. Because of this, there is an increasing need for programming tools that support safe coding techniques and have strong security features. Programming frameworks and tools with a security focus are necessary to fix vulnerabilities and guarantee the integrity of software programs.

Transition to No-Code/Low-Code Development:
Because low-code/no-code development platforms make it possible for users with different degrees of technical expertise to construct apps quickly, they are democratizing software development. The demand for increased agility, lower development costs, and a quicker time to market is what’s driving this trend. Consequently, low-code/no-code tools are becoming more and more popular in the programming software market alongside conventional programming languages and frameworks.

Industry-Specific Requirements: The selection of programming software is influenced by the particular requirements and regulatory norms of various industries. Industry-specific standards and regulatory compliance are made easier by the need for programming tools in areas like finance, healthcare, and automotive, which have strict compliance requirements.

Global Economic variables: The market for programming software is also impacted by economic variables like GDP growth, investment trends, and geopolitical developments. While economic expansion can lead to higher investment in software development activities, economic downturns may result in reduced IT budgets and slower adoption of new technology.

InSales, a platform that allowed users to build their own online stores and websites with no coding, was the no code company with the highest revenue in Russia, at over 328 million Russian rubles in 2023. It was followed by Tilda and Zerocoder. The latter offered no code courses, such as on AI use.

Market Overview and Drivers: The global Purpose-Built Application market is poised to witness significant growth over the forecast period, driven by an increasing need for tailored applications that address specific business requirements and enhance operational efficiency. The market size is estimated to reach USD 823.6 million by 2033, exhibiting a CAGR of 8.6% over the next ten years. The rising adoption of cloud-based and mobile technologies, coupled with the surge in data volumes, is fueling the demand for purpose-built applications that can effectively manage complex business processes and handle large amounts of data. Key Market Segments and Trends: The market is segmented based on application, types, and regions. Among applications, the BFSI, Retail & e-commerce, and Healthcare verticals are anticipated to dominate the market. By types, the cloud-based segment is expected to grow at a faster pace due to its scalability, cost-effectiveness, and ease of deployment. Geographically, North America is expected to remain the largest market, followed by Europe and Asia Pacific. Key trends include the adoption of AI and ML technologies, the rise of low-code and no-code development platforms, and the growing focus on data privacy and security.

Australian Standard Geographic Classification (ASGC) coding indexes from 1981-2011 in numerous formats.

Snapshot img

Multiexperience Development Platforms Market Size 2024-2028

The multiexperience development platforms market size is forecast to increase by USD 9.14 billion at a CAGR of 30.09% between 2023 and 2028.

The market is experiencing significant growth due to several key trends and factors. Firstly, the increasing penetration of cloud computing is driving the adoption of MXDPs, as they enable the development of applications that can run seamlessly across multiple devices and platforms, including the cloud. 
Secondly, the need for application integration for mobile device platforms is another major trend, as businesses seek to provide consistent user experiences across all touchpoints. Additionally, concerns over data security and privacy are becoming increasingly important, and MXDPs offer advanced features to address these issues, making them an attractive option for organizations. The market is expected to grow as businesses look for solutions to deliver consistent, secure, and engaging experiences across multiple touchpoints and devices.

What will be the Size of the MXDP Market During the Forecast Period?

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Multiexperience Development Platforms (MXDP) is a revolutionary IT solution that enables the creation of applications for various digital interfaces, including MR (mixed reality), wearable experiences, voice, augmented reality, chat, iOS, and Android. This technology is a crucial component of the digital transformation era, facilitating rapid customization and seamless integration of experiences across the Internet and multiple devices. MXDPs allow businesses to deliver better user experiences (UX) in a multi-experience world.
Blockchain technology is also being integrated into MXDPs to ensure data security and transparency. In the IT (Information Technology) sector, companies are focusing on improving UX (User Experience) through web and mobile apps, wearable experience, and integrating IoT (Internet of Things) with CRM (Customer Relationship Management) systems.
Low-code development and no-code platforms are transforming the app development landscape, allowing even non-technical users to build sophisticated applications. With AI-driven app development, businesses can create smarter solutions while ensuring omnichannel app experiences across devices. Progressive web apps (PWAs) enable seamless cross-platform functionality, while conversational UI and voice-enabled applications enhance user engagement. Wearable app development and immersive AR/VR apps provide next-level interaction, offering users unique experiences. Cloud-native applications built with microservices architecture enable scalability and flexibility, and API-first development ensures smoother integrations. Edge computing integration improves performance by processing data closer to the user, while automated UI testing accelerates quality assurance, ensuring flawless app delivery across diverse platforms.

How is this Multiexperience Development Platforms Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  IT and telecom
  Manufacturing
  Healthcare
  BFSI
  Others


Deployment

  Cloud-based
  On-premises


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Middle East and Africa



  South America

By End-user Insights

The it and telecom segment is estimated to witness significant growth during the forecast period.

Multiexperience Development Platforms (MXDP) are revolutionizing the digital transformation landscape by enabling the seamless creation of wearable experiences, user interfaces, and great content across various devices. IT departments in large enterprises are increasingly adopting MXDPs for mobility transformation, as they offer rapid customization and integration with emerging technologies like blockchain, 5G, augmented reality (AR), virtual reality. MXDPs address these issues by providing strong security features and adhering to industry standards. Moreover, the rise of Shadow IT and deepfake content necessitates the need for reliable and secure development platforms.

The Internet and Digitalization are driving the demand for MXDPs in industry verticals such as IT and telecom, manufacturing, media and entertainment, travel, hospitality, and more. AR hardware, no-code development platforms, and the growing popularity of RMB in China are further fueling the market's growth.

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The IT and telecom segment was valued at USD 590.00 million in 2018 and showed a gradual increase during the forecast period.

Regional Analys

Market Overview:

United States software market size is projected to exhibit a growth rate (CAGR) of 4.36% during 2024-2032. The growing demand in remote healthcare, patient management, and medical data analysis, increasing shift from on-premises software solutions to cloud-based services, and rising popularity of low-code and no-code development platforms represent some of the key factors driving the market.

Report Attribute	Key Statistics
Base Year	2023
Forecast Years	2024-2032
Historical Years	2018-2023
Market Growth Rate (2024-2032)	4.36%

Software is a collection of instructions, data, or programs used to operate computers and execute specific tasks. It is intangible and created through a process known as software development, which involves stages like planning, design, coding, testing, and maintenance. It can be broadly classified into two types, including system software, which provides the basic functions needed to operate a computer like operating systems device drivers, and application software that enables users to perform specific tasks, such as word processors, games, and business applications. It enhances productivity through the automation of tasks, facilitates analysis and data management, provides entertainment and educational resources, and enables communication and information access on a global scale. It helps businesses to operate and in decision-making processes through data analytics and artificial intelligence (AI). It also assists in organizing and simplifying daily activities, thereby improving quality of life. It operates across various industries, ranging from healthcare and education to finance and entertainment, serving as the backbone of both mundane and complex tasks. It is also used for automating repetitive tasks, such as scripting languages, task automation tools, and workflow automation platforms.

United States Software Market Trends:

At present, the rising digital transformation across various industries to improve efficiency, enhance customer experience, and innovate business processes and models represent one of the key factors impelling the market growth in the United States. Additionally, the increasing incorporation of AI and machine learning (ML) into various software applications, such as data analytics, business intelligence, and customer relationship management (CRM) to gain actionable insights, automate processes, and create more personalized experiences for users is bolstering the market growth in the country. Besides this, the growing shift from on-premises software solutions to cloud-based services like infrastructure as a service (LaaS), platform as a service (PaaS), and software as a service (SaaS) for remote working capabilities, data storage solutions, and scalable infrastructure is offering a favorable market outlook. In addition, the increasing emphasis on user experience (UX) and design in software development is encouraging software companies to create intuitive, user-friendly interfaces. This trend is also driven by the importance of UX as a key differentiator in software adoption and customer satisfaction. Furthermore, the growing popularity of low-code and no-code development platforms for enabling individuals without extensive programming knowledge to create applications is positively influencing the market. Apart from this, the rising demand for software solutions in remote healthcare, patient management, and medical data analysis, driven by the need for more efficient and accessible healthcare services, is strengthening the market growth in the country.

United States Software Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on type, deployment mode, enterprise size, and industry vertical.

Type Insights:

https://www.imarcgroup.com/CKEditor/d1c69d80-34ae-4aa7-b3f8-4c3ec2adeb61other-regions1.webp" style="height:450px; width:800px" />

• Application Software
  • Enterprise Resource Planning (ERP)
  • Customer Relationship Management (CRM)
  • Supply Chain Management (SCM)
  • Enterprise Collaboration Software
  • Enterprise Content Management (ECM) Software
  • Education Software
  • Others
• System Infrastructure Software
  • Network Management Systems (NMS)
  • Storage Software
  • Security Software
• Development and Deployment Software
  • Enterprise Data Management (EDM)
  • Business Analytics and Reporting Tools
  • Application Servers
  • Integration and Orchestration Middleware
  • Data Quality Tools
• Productivity Software
  • Office Software
  • Creative Software
  • Others
    

The report has provided a detailed breakup and analysis of the market based on the type. This includes application software (enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM), enterprise collaboration software, enterprise content management (ECM) software, education software, and others), system infrastructure software (network management systems (NMS), storage software, and security software), development and deployment software (enterprise data management (EDM), business analytics and reporting tools, application servers, integration and orchestration middleware, and data quality tools), and productivity software (office software, creative software, and others).

Deployment Mode Insights:

• On-premises
• Cloud-based
  

A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based.

Enterprise Size Insights:

• Small and Medium-sized Enterprises
• Large Enterprises
  

The report has provided a detailed breakup and analysis of the market based on the enterprise size. This includes small and medium-sized enterprises and large enterprises.

Industry Vertical Insights:

• IT and Telecom
• BFSI
• Retail
• Government/Public Sector
• Energy and Utilities
• Healthcare
• Others
  

A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes IT and telecom, BFSI, retail, government/public sector, energy and utilities, healthcare, and others.

Regional Insights:

https://www.imarcgroup.com/CKEditor/7b54abad-e6f7-4833-aba7-967f328cd2b6other-regions8.webp" style="height:450px; width:800px" />

• Northeast
• Midwest
• South
• West
  

The report has also provided a comprehensive analysis of all the major regional markets, which include the Northeast, Midwest, South, and West.

Competitive Landscape:

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In 2021, 71 percent of respondents indicate that they believe no-code tool usage over the next year will increase in software. No-code tools make it possible for non-programmers to built applications.

The Numenta Anomaly Benchmark (NAB) is a novel benchmark for evaluating algorithms for anomaly detection in streaming, online applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. All of the data and code is fully open-source, with extensive documentation, and a scoreboard of anomaly detection algorithms: github.com/numenta/NAB. The full dataset is included here, but please go to the repo for details on how to evaluate anomaly detection algorithms on NAB.

NAB Data Corpus

The NAB corpus of 58 timeseries data files is designed to provide data for research in streaming anomaly detection. It is comprised of both real-world and artifical timeseries data containing labeled anomalous periods of behavior. Data are ordered, timestamped, single-valued metrics. All data files contain anomalies, unless otherwise noted.

The majority of the data is real-world from a variety of sources such as AWS server metrics, Twitter volume, advertisement clicking metrics, traffic data, and more. All data is included in the repository, with more details in the data readme. We are in the process of adding more data, and actively searching for more data. Please contact us at nab@numenta.org if you have similar data (ideally with known anomalies) that you would like to see incorporated into NAB.

The NAB version will be updated whenever new data (and corresponding labels) is added to the corpus; NAB is currently in v1.0.

Real data

• realAWSCloudwatch/

  AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include CPU Utilization, Network Bytes In, and Disk Read Bytes.

• realAdExchange/

  Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost per thousand impressions (CPM). One of the files is normal, without anomalies.

• realKnownCause/

  This is data for which we know the anomaly causes; no hand labeling.

  • ambient_temperature_system_failure.csv: The ambient temperature in an office setting.
  • cpu_utilization_asg_misconfiguration.csv: From Amazon Web Services (AWS) monitoring CPU usage – i.e. average CPU usage across a given cluster. When usage is high, AWS spins up a new machine, and uses fewer machines when usage is low.
  • ec2_request_latency_system_failure.csv: CPU usage data from a server in Amazon's East Coast datacenter. The dataset ends with complete system failure resulting from a documented failure of AWS API servers. There's an interesting story behind this data in the "http://numenta.com/blog/anomaly-of-the-week.html">Numenta blog.
  • machine_temperature_system_failure.csv: Temperature sensor data of an internal component of a large, industrial mahcine. The first anomaly is a planned shutdown of the machine. The second anomaly is difficult to detect and directly led to the third anomaly, a catastrophic failure of the machine.
  • nyc_taxi.csv: Number of NYC taxi passengers, where the five anomalies occur during the NYC marathon, Thanksgiving, Christmas, New Years day, and a snow storm. The raw data is from the NYC Taxi and Limousine Commission. The data file included here consists of aggregating the total number of taxi passengers into 30 minute buckets.
  • rogue_agent_key_hold.csv: Timing the key holds for several users of a computer, where the anomalies represent a change in the user.
  • rogue_agent_key_updown.csv: Timing the key strokes for several users of a computer, where the anomalies represent a change in the user.

• realTraffic/

  Real time traffic data from the Twin Cities Metro area in Minnesota, collected by the Minnesota Department of Transportation. Included metrics include occupancy, speed, and travel time from specific sensors.

• realTweets/

  A collection of Twitter mentions of large publicly-traded companies such as Google and IBM. The metric value represents the number of mentions for a given ticker symbol every 5 minutes.

Artificial data

• artificialNoAnomaly/

  Artifically-generated data without any anomalies.

• artificialWithAnomaly/

  Artifically-generated data with varying types of anomalies.

Acknowledgments

We encourage you to publish your results on running NAB, and share them with us at nab@numenta.org. Please cite the following publication when referring to NAB:

Lavin, Alexander and Ahmad, Subutai. "Evaluating Real-time Anomaly Detection Algorithms – the Numenta Anomaly Benchmark", Fourteenth International Conference on Machine Learning and Applications, December 2015. [PDF]

This dataset is the definitive version of the annually released statistical area 1 (SA1) boundaries as at 1 January 2025, as defined by Stats NZ. This version contains 33,164 SA1s (33,148 digitised and 16 with empty or null geometries (non-digitised)).

SA1 is an output geography that allows the release of more low-level data than is available at the meshblock level. Built by joining meshblocks, SA1s have an ideal size range of 100–200 residents, and a maximum population of about 500. This is to minimise suppression of population data in multivariate statistics tables.

The SA1 should:

form a contiguous cluster of one or more meshblocks,

be either urban, rural, or water in character,

be small enough to:

• allow flexibility for aggregation to other statistical geographies,

• allow users to aggregate areas into their own defined communities of interest,

form a nested hierarchy with statistical output geographies and administrative boundaries. It must:

• be built from meshblocks,

• either define or aggregate to define SA2s, urban rural areas, territorial authorities, and regional councils.

SA1s generally have a population of 100–200 residents, with some exceptions:

• SA1s with nil or nominal resident populations are created to represent remote mainland areas, unpopulated islands, inland water, inlets, or oceanic areas.

• Some SA1s in remote rural areas and urban industrial or business areas have fewer than 100 residents.

• Some SA1s that contain apartment blocks, retirement villages, and large non-residential facilities (prisons, boarding schools, etc.) have more than 500 residents.

SA1 numbering

SA1s are not named. SA1 codes have seven digits starting with a 7 and are numbered approximately north to south. Non-digitised codes start with 79.

As new SA1s are created, they are given the next available numeric code. If the composition of an SA1 changes through splitting or amalgamating different meshblocks, the SA1 is given a new code. The previous code no longer exists within that version and future versions of the SA1 classification.

Digitised and non-digitised SA1s

The digital geographic boundaries are defined and maintained by Stats NZ.

Aggregated from meshblocks, SA1s cover the land area of New Zealand, the water area to the 12-mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, off-shore oil rigs, and Ross Dependency. The following 16 SA1s are held in non-digitised form.

7999901; New Zealand Economic Zone, 7999902; Oceanic Kermadec Islands,7999903; Kermadec Islands, 7999904; Oceanic Oil Rig Taranaki,7999905; Oceanic Campbell Island, 7999906; Campbell Island, 7999907; Oceanic Oil Rig Southland, 7999908; Oceanic Auckland Islands, 7999909; Auckland Islands, 7999910; Oceanic Bounty Islands, 7999911; Bounty Islands, 7999912; Oceanic Snares Islands, 7999913; Snares Islands, 7999914; Oceanic Antipodes Islands, 7999915; Antipodes Islands, 7999916; Ross Dependency.

​

High-definition version

This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.

​

Macrons

Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

​

Digital data

Digital boundary data became freely available on 1 July 2007.

​

Further information

To download geographic classifications in table formats such as CSV please use Ariā

For more information please refer to the Statistical standard for geographic areas 2023.

Contact: geography@stats.govt.nz