100+ datasets found
  1. Number of active COVID-19 cases in New Zealand June 2022 by age group

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Number of active COVID-19 cases in New Zealand June 2022 by age group [Dataset]. https://www.statista.com/statistics/1108939/new-zealand-number-of-coronavirus-cases-by-age-group/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 5, 2022
    Area covered
    New Zealand
    Description

    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.

  2. T

    New Zealand Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 18, 2023
    + more versions
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    TRADING ECONOMICS (2023). New Zealand Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/new-zealand/coronavirus-cases
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 18, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    New Zealand
    Description

    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.

  3. E

    COVID-19 New Zealand dataset. Multilingual (EN, KO, IN, ES)

    • live.european-language-grid.eu
    tmx
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    COVID-19 New Zealand dataset. Multilingual (EN, KO, IN, ES) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21202
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    tmxAvailable download formats
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Multilingual (EN, KO, IN, ES) corpus acquired from website (https://covid19.govt.nz/) of the New Zealand Government. It contains 250 TUs in total.

  4. Share of COVID-19 infections in New Zealand November 2020, by infection...

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Share of COVID-19 infections in New Zealand November 2020, by infection source [Dataset]. https://www.statista.com/statistics/1108942/new-zealand-coronavirus-source-of-infections-by-source/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 16, 2020
    Area covered
    New Zealand
    Description

    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.

  5. COVID19 - New Zealand - Known Cases

    • kaggle.com
    zip
    Updated Mar 27, 2020
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    kruth (2020). COVID19 - New Zealand - Known Cases [Dataset]. https://www.kaggle.com/madhavkru/covid19-nz
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    zip(2216 bytes)Available download formats
    Dataset updated
    Mar 27, 2020
    Authors
    kruth
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    New Zealand
    Description

    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.

  6. a

    COVID-19 and the potential impacts on employment data tables

    • hub.arcgis.com
    Updated Aug 26, 2020
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    Waka Kotahi (2020). COVID-19 and the potential impacts on employment data tables [Dataset]. https://hub.arcgis.com/datasets/9703b6055b7a404582884f33efc4cf69
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    Dataset updated
    Aug 26, 2020
    Dataset authored and provided by
    Waka Kotahi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This 6MB download is a zip file containing 5 pdf documents and 2 xlsx spreadsheets. Presentation on COVID-19 and the potential impacts on employment

    May 2020Waka Kotahi wants to better understand the potential implications of the COVID-19 downturn on the land transport system, particularly the potential impacts on regional economies and communities.

    To do this, in May 2020 Waka Kotahi commissioned Martin Jenkins and Infometrics to consider the potential impacts of COVID-19 on New Zealand’s economy and demographics, as these are two key drivers of transport demand. In addition to providing a scan of national and international COVID-19 trends, the research involved modelling the economic impacts of three of the Treasury’s COVID-19 scenarios, to a regional scale, to help us understand where the impacts might be greatest.

    Waka Kotahi studied this modelling by comparing the percentage difference in employment forecasts from the Treasury’s three COVID-19 scenarios compared to the business as usual scenario.

    The source tables from the modelling (Tables 1-40), and the percentage difference in employment forecasts (Tables 41-43), are available as spreadsheets.

    Arataki - potential impacts of COVID-19 Final Report

    Employment modelling - interactive dashboard

    The modelling produced employment forecasts for each region and district over three time periods – 2021, 2025 and 2031. In May 2020, the forecasts for 2021 carried greater certainty as they reflected the impacts of current events, such as border restrictions, reduction in international visitors and students etc. The 2025 and 2031 forecasts were less certain because of the potential for significant shifts in the socio-economic situation over the intervening years. While these later forecasts were useful in helping to understand the relative scale and duration of potential COVID-19 related impacts around the country, they needed to be treated with care recognising the higher levels of uncertainty.

    The May 2020 research suggested that the ‘slow recovery scenario’ (Treasury’s scenario 5) was the most likely due to continuing high levels of uncertainty regarding global efforts to manage the pandemic (and the duration and scale of the resulting economic downturn).

    The updates to Arataki V2 were framed around the ‘Slower Recovery Scenario’, as that scenario remained the most closely aligned with the unfolding impacts of COVID-19 in New Zealand and globally at that time.

    Find out more about Arataki, our 10-year plan for the land transport system

    May 2021The May 2021 update to employment modelling used to inform Arataki Version 2 is now available. Employment modelling dashboard - updated 2021Arataki used the May 2020 information to compare how various regions and industries might be impacted by COVID-19. Almost a year later, it is clear that New Zealand fared better than forecast in May 2020.Waka Kotahi therefore commissioned an update to the projections through a high-level review of:the original projections for 2020/21 against performancethe implications of the most recent global (eg International monetary fund world economic Outlook) and national economic forecasts (eg Treasury half year economic and fiscal update)The treasury updated its scenarios in its December half year fiscal and economic update (HYEFU) and these new scenarios have been used for the revised projections.Considerable uncertainty remains about the potential scale and duration of the COVID-19 downturn, for example with regards to the duration of border restrictions, update of immunisation programmes. The updated analysis provides us with additional information regarding which sectors and parts of the country are likely to be most impacted. We continue to monitor the situation and keep up to date with other cross-Government scenario development and COVID-19 related work. The updated modelling has produced employment forecasts for each region and district over three time periods - 2022, 2025, 2031.The 2022 forecasts carry greater certainty as they reflect the impacts of current events. The 2025 and 2031 forecasts are less certain because of the potential for significant shifts over that time.

    Data reuse caveats: as per license.

    Additionally, please read / use this data in conjunction with the Infometrics and Martin Jenkins reports, to understand the uncertainties and assumptions involved in modelling the potential impacts of COVID-19.

    COVID-19’s effect on industry and regional economic outcomes for NZ Transport Agency [PDF 620 KB]

    Data quality statement: while the modelling undertaken is high quality, it represents two point-in-time analyses undertaken during a period of considerable uncertainty. This uncertainty comes from several factors relating to the COVID-19 pandemic, including:

    a lack of clarity about the size of the global downturn and how quickly the international economy might recover differing views about the ability of the New Zealand economy to bounce back from the significant job losses that are occurring and how much of a structural change in the economy is required the possibility of a further wave of COVID-19 cases within New Zealand that might require a return to Alert Levels 3 or 4.

    While high levels of uncertainty remain around the scale of impacts from the pandemic, particularly in coming years, the modelling is useful in indicating the direction of travel and the relative scale of impacts in different parts of the country.

    Data quality caveats: as noted above, there is considerable uncertainty about the potential scale and duration of the COVID-19 downturn. Please treat the specific results of the modelling carefully, particularly in the forecasts to later years (2025, 2031), given the potential for significant shifts in New Zealand's socio-economic situation before then.

    As such, please use the modelling results as a guide to the potential scale of the impacts of the downturn in different locations, rather than as a precise assessment of impacts over the coming decade.

  7. Government response to COVID-19 New Zealand 2021

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Government response to COVID-19 New Zealand 2021 [Dataset]. https://www.statista.com/statistics/1256533/new-zealand-grading-governments-response-to-covid-19/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 15, 2021 - Jul 19, 2021
    Area covered
    New Zealand
    Description

    In 2021, 42 percent of respondents who participated in a survey on the COVID-19 response in New Zealand rated the government's response to COVID-19 as excellent. Around 5 percent of respondents rated the government's response to the outbreak as terrible.

  8. Latest Coronavirus COVID-19 figures for New Zealand

    • covid19-today.pages.dev
    json
    Updated Jun 22, 2025
    + more versions
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for New Zealand [Dataset]. https://covid19-today.pages.dev/countries/new-zealand/
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    jsonAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    New Zealand
    Description

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

  9. T

    New Zealand Coronavirus COVID-19 Vaccination Total

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, New Zealand Coronavirus COVID-19 Vaccination Total [Dataset]. https://tradingeconomics.com/new-zealand/coronavirus-vaccination-total
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    json, xml, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2021 - Apr 4, 2023
    Area covered
    New Zealand
    Description

    The number of COVID-19 vaccination doses administered in New Zealand rose to 12052315 as of Oct 27 2023. This dataset includes a chart with historical data for New Zealand Coronavirus Vaccination Total.

  10. National Party response to COVID-19 New Zealand 2021

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). National Party response to COVID-19 New Zealand 2021 [Dataset]. https://www.statista.com/statistics/1256598/new-zealand-grading-national-party-response-to-covid-19/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 15, 2021 - Jul 19, 2021
    Area covered
    New Zealand
    Description

    In 2021, ten percent of respondents who participated in a survey on COVID-19 response in New Zealand rated the National Party response to COVID-19 as excellent. Around 26 percent of respondents rated the national party response to the outbreak as terrible.

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

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Alex James; Michael J. Plank; Shaun Hendy; Rachelle N. Binny; Audrey Lustig; Nic Steyn (2023). Summary statistics for the New Zealand epidemic by age and type of case. [Dataset]. http://doi.org/10.1371/journal.pone.0238800.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alex James; Michael J. Plank; Shaun Hendy; Rachelle N. Binny; Audrey Lustig; Nic Steyn
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

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

  12. Covid-19 in New Zealand

    • kaggle.com
    Updated Feb 7, 2021
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    Raphael Dan Gueco (2021). Covid-19 in New Zealand [Dataset]. https://www.kaggle.com/guecoraph/covid19-in-new-zealand/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 7, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Raphael Dan Gueco
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Context

    Its curious to learn more about my country. If covid-19 really did disappear or not for even a brief moment in new zealand.

    Content

    What's inside is more than just rows and columns. More analytics will have to be done and distribution analysis to find out what parts actually had no covid.

    Acknowledgements

    We wouldn't be here without https://nzcoviddashboard.esr.cri.nz/#!/ and stats NZ

    Inspiration

    Did covid actually disappear in parts of new zealand?

  13. E

    COVID-19 New Zealand dataset. Bilingual (EN-KO)

    • live.european-language-grid.eu
    tmx
    Updated Nov 5, 2020
    + more versions
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    (2020). COVID-19 New Zealand dataset. Bilingual (EN-KO) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21207
    Explore at:
    tmxAvailable download formats
    Dataset updated
    Nov 5, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Bilingual (EN-KO) corpus acquired from website (https://covid19.govt.nz/) of the New Zealand Government

  14. COVID-19: The First Global Pandemic of the Information Age

    • africageoportal.com
    • cameroon.africageoportal.com
    Updated Apr 8, 2020
    + more versions
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    Urban Observatory by Esri (2020). COVID-19: The First Global Pandemic of the Information Age [Dataset]. https://www.africageoportal.com/datasets/UrbanObservatory::covid-19-the-first-global-pandemic-of-the-information-age/about
    Explore at:
    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.

  15. IBISWorld Releases COVID-19 Special Report for New Zealand

    • ibisworld.com
    Updated Sep 7, 2021
    + more versions
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    IBISWorld (2021). IBISWorld Releases COVID-19 Special Report for New Zealand [Dataset]. https://www.ibisworld.com/blog/ibisworld-releases-covid-19-special-report-nz/64/5644/
    Explore at:
    Dataset updated
    Sep 7, 2021
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Sep 7, 2021
    Area covered
    New Zealand
    Description

    IBISWorld has published an in depth breakdown of the effect of the COVID-19 epidemic on every subdivision in the economies of Australia and New Zealand.

  16. Impacts of COVID-19 on transport choices survey

    • opendata-nzta.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 24, 2021
    + more versions
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    Waka Kotahi (2021). Impacts of COVID-19 on transport choices survey [Dataset]. https://opendata-nzta.opendata.arcgis.com/datasets/d682a0a23eae45dcbe8bffcb04b5a64f
    Explore at:
    Dataset updated
    Feb 24, 2021
    Dataset provided by
    NZ Transport Agency Waka Kotahihttp://www.nzta.govt.nz/
    Authors
    Waka Kotahi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This 20MB download is a zip file containing 1 docx document and 2 xlsx spreadsheets.Waka Kotahi has been running an ongoing study across New Zealand for the effects of COVID-19 on transport choices. The study started on 3 April 2020 and runs for 28 waves, with the final wave scheduled to take place in late 2021. This market research analysis was conducted by Ipsos, with the results data kept in the Harmoni application by Infotools, an external vendor.

    We have created summarised tables from this data, in the form of an Excel spreadsheet, for release as open data. The data records how New Zealanders felt, behaved and travelled under the different COVID-19 alert levels.The data tables from the study, to allow you to do your own analysis. We have already made analysed data from this study available as reports on the Waka Kotahi website.Read 'covid-19 impacts on transport' reportsComplete open dataset: click on the download button for a .zip file containing this item.

    Watch our video about the impacts of COVID-19 on New Zealanders' transport choices

    Data reuse caveats: as per license. Additionally, this data is from research currently being undertaken by Ipsos on behalf of Waka Kotahi NZ Transport Agency. While Waka Kotahi provided investment, the research was undertaken independently, and the resulting findings should not be regarded as being the opinion, responsibility or policy of Waka Kotahi or indeed of any NZ Government agency. We have removed the data for sample sizes of fewer than 60 people, to protect privacy. Data quality statement: high level of confidence.

    Data quality caveats: none known.

    Other metadata: technical report - click on the download button for a .zip file containing this itemquestionnaire changes tracking log - click on the download button for a .zip file containing this item.

  17. M

    Project Tycho Dataset; Counts of COVID-19 Reported In NEW ZEALAND: 2019-2021...

    • catalog.midasnetwork.us
    csv, zip
    Updated Jul 12, 2023
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    MIDAS Coordination Center (2023). Project Tycho Dataset; Counts of COVID-19 Reported In NEW ZEALAND: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/NZ.840539006
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    zip, csvAvailable download formats
    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    New Zealand
    Variables measured
    disease, COVID-19, pathogen, case counts, mortality data, infectious disease, Severe acute respiratory syndrome coronavirus 2
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in NEW ZEALAND: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  18. New Zealand No. of Current CIRP Recipients: 19 years & Under

    • ceicdata.com
    Updated Dec 1, 2020
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    CEICdata.com (2020). New Zealand No. of Current CIRP Recipients: 19 years & Under [Dataset]. https://www.ceicdata.com/en/new-zealand/monthly-benefit-and-supplementary-assistance-covid19-income-relief-payment-recipients
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    Dataset updated
    Dec 1, 2020
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Jan 1, 2021
    Area covered
    New Zealand
    Variables measured
    Wage/Earnings
    Description

    No. of Current CIRP Recipients: 19 years & Under data was reported at 6.000 Number in Jan 2021. This records a decrease from the previous number of 39.000 Number for Dec 2020. No. of Current CIRP Recipients: 19 years & Under data is updated monthly, averaging 306.000 Number from Jun 2020 (Median) to Jan 2021, with 8 observations. The data reached an all-time high of 921.000 Number in Aug 2020 and a record low of 6.000 Number in Jan 2021. No. of Current CIRP Recipients: 19 years & Under data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s New Zealand – Table NZ.G094: Monthly Benefit and Supplementary Assistance: COVID-19 Income Relief Payment Recipients (Discontinued).

  19. Thought on societal effects of COVID-19 by millennials and Gen Zs in New...

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Thought on societal effects of COVID-19 by millennials and Gen Zs in New Zealand 2021 [Dataset]. https://www.statista.com/statistics/1246652/new-zealand-millennial-and-gen-z-thoughts-on-effects-of-covid-19/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 8, 2021 - Feb 18, 2021
    Area covered
    New Zealand
    Description

    According to a 2021 survey of millennials and members of Generation Z in New Zealand, 78 percent of millennials reported feeling inspired to take positive action in their lives as a result of the COVID-19 pandemic. In comparison, 71 percent of the younger Gen Z respondents reported having felt the same.

  20. a

    NZ COVID-19 New Zealand Cases (Polygons Web Map)

    • hub.arcgis.com
    Updated Mar 22, 2020
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    Eagle Technology Group Ltd (2020). NZ COVID-19 New Zealand Cases (Polygons Web Map) [Dataset]. https://hub.arcgis.com/maps/d290dd9bfbe34caf915e71678f34dc4b
    Explore at:
    Dataset updated
    Mar 22, 2020
    Dataset authored and provided by
    Eagle Technology Group Ltd
    Area covered
    Description

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

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Statista (2024). Number of active COVID-19 cases in New Zealand June 2022 by age group [Dataset]. https://www.statista.com/statistics/1108939/new-zealand-number-of-coronavirus-cases-by-age-group/
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Number of active COVID-19 cases in New Zealand June 2022 by age group

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Dataset updated
Apr 3, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Sep 5, 2022
Area covered
New Zealand
Description

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.

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