As of September 5, 2022, the number of 30 to 39 year olds diagnosed with COVID-19 in New Zealand had reached over three hundred thousand people. At the time, the over 90 age group had the least number of active cases.

Context

With the arrival of the COVID19 virus in New Zealand, the ministry of health is tracking new cases and releasing daily updates on the situation on their webpage: https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-cases and https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-cases/covid-19-current-cases-details. Much of the information given in these updates are not in a machine-friendly format. The objective of this dataset is to provide NZ Minstry of Health COVID19 data in easy-to-use format.

Content

All data in this dataset has been acquired from the New Zealand Minstry of Health's 'COVID19 current cases' webpage, located here: https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-cases. The Ministry of Health updates their page daily, that will be the targeted update frequency for this dataset for the Daily Count of Cases dataset. The Case Details dataset which includes travel details on each case will be updated weekly.

Limitations of this dataset

The mission of this project is to reliably convey data that the Ministry of Health has reported in the most digestable format. Enrichment of data is currently out of scope.

Help improve this dataset

If you find any discrepancies between the Ministry of Health's data and this dataset, please provide your feedback as an issue on the git repo for this dataset: https://github.com/2kruman/COVID19-NZ-known-cases/issues.

New Zealand recorded 2282861 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, New Zealand reported 2792 Coronavirus Deaths. This dataset includes a chart with historical data for New Zealand Coronavirus Cases.

In past 24 hours, New Zealand, Australia-Oceania had N/A new cases, N/A deaths and N/A recoveries.

Total Covid cases, end of month in New Zealand, March, 2023 The most recent value is 2206394 total Covid cases as of March 2023, an increase compared to the previous value of 2166470 total Covid cases. Historically, the average for New Zealand from February 2020 to March 2023 is 570900 total Covid cases. The minimum of 1 total Covid cases was recorded in February 2020, while the maximum of 2206394 total Covid cases was reached in March 2023. | TheGlobalEconomy.com

Summary statistics for the New Zealand epidemic by age and type of case.

New Zealand NZ: Tuberculosis Treatment Success Rate: % of New Cases data was reported at 80.000 % in 2015. This records a decrease from the previous number of 82.000 % for 2014. New Zealand NZ: Tuberculosis Treatment Success Rate: % of New Cases data is updated yearly, averaging 80.000 % from Dec 2000 (Median) to 2015, with 15 observations. The data reached an all-time high of 86.000 % in 2007 and a record low of 9.000 % in 2001. New Zealand NZ: Tuberculosis Treatment Success Rate: % of New Cases data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Health Statistics. Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ('cured' and 'treatment completed' respectively).; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

Web Map showing New Zealand COVID-19 Cases at a Regional Level.

As of November 16, 2020, 43 percent of COVID-19 infection cases in New Zealand were contracted through contact with a person who had recently travelled overseas. Less than five percent of cases were attributed to locally acquired cases where the infection source was unknown.

Tuberculosis case detection rate (%, all forms) in New Zealand was reported at 87 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Tuberculosis case detection rate (all forms) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

New Zealand NZ: Tuberculosis Case Detection Rate: All Forms data was reported at 87.000 % in 2016. This stayed constant from the previous number of 87.000 % for 2015. New Zealand NZ: Tuberculosis Case Detection Rate: All Forms data is updated yearly, averaging 87.000 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 87.000 % in 2016 and a record low of 87.000 % in 2016. New Zealand NZ: Tuberculosis Case Detection Rate: All Forms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank.WDI: Health Statistics. Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

Tuberculosis treatment success rate (% of new cases) in New Zealand was reported at 87 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Tuberculosis treatment success rate (% of registered cases) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

In 2018, around ** women in New Zealand aged 75 or older were diagnosed with cervical cancer. The incidence rate of this type of cancer was estimated at *** per 100,000 population of females in the country in the same year.

New Zealand NZ: Internally Displaced Persons: New Displacement Associated with Disasters data was reported at 6,300.000 Case in 2017. This records an increase from the previous number of 1,800.000 Case for 2016. New Zealand NZ: Internally Displaced Persons: New Displacement Associated with Disasters data is updated yearly, averaging 450.000 Case from Dec 2010 (Median) to 2017, with 7 observations. The data reached an all-time high of 6,300.000 Case in 2017 and a record low of 210.000 Case in 2013. New Zealand NZ: Internally Displaced Persons: New Displacement Associated with Disasters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank.WDI: Population and Urbanization Statistics. Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. 'New Displacement' refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.; ; The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/); Sum;

WHO: Influenza A (H1N1): Confirmed Cases: New Zealand data was reported at 1,059.000 Unit in 06 Jul 2009. This records an increase from the previous number of 912.000 Unit for 05 Jul 2009. WHO: Influenza A (H1N1): Confirmed Cases: New Zealand data is updated daily, averaging 9.500 Unit from Apr 2009 (Median) to 06 Jul 2009, with 74 observations. The data reached an all-time high of 1,059.000 Unit in 06 Jul 2009 and a record low of 0.000 Unit in 27 Apr 2009. WHO: Influenza A (H1N1): Confirmed Cases: New Zealand data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Heath Organization: Influenza A (H1N1): By Countries.

Internally displaced persons, new displacement associated with disasters (number of cases) in New Zealand was reported at 14000 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Internally displaced persons, new displacement associated with disasters (number of cases) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Approximately *** thousand bottled cases were sold across New Zealand as of June 2019. This was a lower mark than the previous year sales.

New Zealand Imports from Hong Kong of Watch Cases was US$539 during 2024, according to the United Nations COMTRADE database on international trade. New Zealand Imports from Hong Kong of Watch Cases - data, historical chart and statistics - was last updated on August of 2025.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".