30 datasets found
  1. Share of school leavers with at least NCEA Level 2 New Zealand 2012-2017 by...

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Share of school leavers with at least NCEA Level 2 New Zealand 2012-2017 by decile [Dataset]. https://www.statista.com/statistics/1064255/new-zealand-share-of-school-leavers-with-better-than-ncea-level-two-by-decile/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    New Zealand
    Description

    In 2017, 70.6 percent of students from the lowest three decile groups leaving secondary school in New Zealand did so while attaining at least NCEA Level 2. In comparison, 91.3 percent of school-leavers from the top three socio-economic groups had the same NCEA qualification. In New Zealand, students must attend school until they are 16 years old. The National Certificate of Educational Achievement (NCEA) is the official secondary school qualification in New Zealand. Students can gain NCEA Level 1, 2, or 3 if they meet the requirements set out by the standard.

  2. d

    18-year-olds with a Minimum of NCEA Level 2 or Equivalent - Dataset -...

    • catalogue.data.govt.nz
    Updated Aug 12, 2020
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    (2020). 18-year-olds with a Minimum of NCEA Level 2 or Equivalent - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/18-year-olds-with-a-minimum-of-ncea-level-2-or-equivalent
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    Dataset updated
    Aug 12, 2020
    License

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

    Description

    Percentage of 18-year-olds with the equivalent of an NCEA Level 2 qualification or above.

  3. Share of school leavers with better than than NCEA Level 2 New Zealand...

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Share of school leavers with better than than NCEA Level 2 New Zealand 2012-2017 [Dataset]. https://www.statista.com/statistics/1064251/new-zealand-share-of-school-leavers-with-better-than-ncea-level-two/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    New Zealand
    Description

    In 2017, 80.7 percent of students leaving secondary school in New Zealand did so while attaining NCEA Level 2 or better. In New Zealand, students must attend school until they are 16 years old. The National Certificate of Educational Achievement (NCEA) is the official secondary school qualification in New Zealand. Students can gain NCEA Level 1, 2, or 3 if they meet the requirements set out by the standard.

  4. g

    Enterprises; sizeclass and legal form, 2006-2010 | gimi9.com

    • gimi9.com
    Updated May 3, 2025
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    (2025). Enterprises; sizeclass and legal form, 2006-2010 | gimi9.com [Dataset]. https://gimi9.com/dataset/nl_4570-enterprises--sizeclass-and-legal-form--2006-2010/
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    Dataset updated
    May 3, 2025
    License

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

    Description

    This table includes information on the number of enterprises and institutions broken down by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Besides the breakdown by NCEA, the number of enterprises is broken down by size class or legal form. The number of enterprises is rounded by a multiple of 5. The data refer to the situation on 1 January of the year concerned. Data available from: 2006 Status of the figures: All data recorded in this publication are definite. Last changes: Data broken down by NCEA 1993 have been converted to data broken down by NCEA 2008. When will new figures be published? Changes as of 20 April 2012: This table has been stopped. Two points in the processing of the data have changed: - the statistical unit has been changed. - the check on economic activity of an enterprise has been broadened. As a consequence of this, more entrepeneurs have entered the population of Dutch enterprises. Due to these changes, the figures are no longer comparable to those of the previous years. Therefore a new table has been started from 2007 onwards.

  5. r

    Data from: NCEA Research Project Archive

    • researchdata.edu.au
    Updated Apr 3, 2025
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    Eberhard Jochen (2025). NCEA Research Project Archive [Dataset]. http://doi.org/10.26192/8QMG-5Q96
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    University of Southern Queensland
    Authors
    Eberhard Jochen
    Description

    National Centre for Engineering in Agriculture Archive for Concluded Research Projects.

  6. d

    School Leavers - NCEA Level 2 or Above - Dataset - data.govt.nz - discover...

    • catalogue.data.govt.nz
    Updated Aug 12, 2020
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    (2020). School Leavers - NCEA Level 2 or Above - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/school-leavers-ncea-level-2-or-above
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    Dataset updated
    Aug 12, 2020
    License

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

    Description

    Data on the number of school leavers with a Level 2 qualification or above from 2009 onward.

  7. w

    Local units by municipalities, 2006-2010

    • data.wu.ac.at
    • data.overheid.nl
    • +2more
    atom feed, json
    Updated Jul 13, 2018
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    Centraal Bureau voor de Statistiek (2018). Local units by municipalities, 2006-2010 [Dataset]. https://data.wu.ac.at/schema/data_overheid_nl/YmUyNzZhMWUtZjQxOC00NzBkLWIwOWItOGMxOTg2NDQwNDI1
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    atom feed, jsonAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    7b52156155640e0e5cc5e115a574b5fd42059d43
    Description

    This table includes information on the number of local units of enterprises and institutions (establishments) broken down by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Besides the breakdown by NCEA, the number of local units is broken down by municipality. The regional characteristics are derived from the municipality in which the local unit is located. The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Woerden, for example, was annexed by the province of Utrecht on 1 January 1989, and is classified under the province of Utrecht in the Table. The number of local units is rounded by a multiple of 5. The data refer to the situation on 1 January of the year of observation.

    Data available from: 2006

    Status of the figures: All data recorded in this publication are final data.

    Last changes: Data broken down by NCEA 1993 are transformed into data broken down by NCEA 2008.

    When will new figures be published? Changes as of 20 April 2012: This table has been stopped. Two points in the processing of the data have changed: - the statistical unit has been changed. - the main economic activity (NCEA 2008) of the local unit has been implemented. Due to these changes, the figures are no longer comparable to those of the previous years. Therefore a new table has been started from 2007 onwards.

  8. Annual weightings by year, CNAE-09 section and type of cost (provisional...

    • ine.es
    csv, html, json +4
    Updated Dec 9, 2014
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    INE - Instituto Nacional de Estadística (2014). Annual weightings by year, CNAE-09 section and type of cost (provisional data). [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t22/p211/cnae09/l1/&file=01002.px&L=1
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    txt, text/pc-axis, html, json, csv, xls, xlsxAvailable download formats
    Dataset updated
    Dec 9, 2014
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Type of cost, NCEA-09 sections
    Description

    Harmonised Labour Cost Index: Annual weightings by year, CNAE-09 section and type of cost (provisional data). National.

  9. Legal services (7411 NCEA 93) Results by breakdown of turnover by activity...

    • ine.es
    csv, html, json +4
    Updated Dec 23, 2009
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    INE - Instituto Nacional de Estadística (2009). Legal services (7411 NCEA 93) Results by breakdown of turnover by activity sector of the client and employed personnel [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t37/e01/p01/a2007/l1/&file=04001b.px&L=1
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    xlsx, xls, json, csv, txt, text/pc-axis, htmlAvailable download formats
    Dataset updated
    Dec 23, 2009
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Employed personnel, Breakdown of turnover by activity sector of the client
    Description

    Statistics on Products in the Services Sector: Legal services (7411 NCEA 93) Results by breakdown of turnover by activity sector of the client and employed personnel. National.

  10. e

    Enterprise; sizeclass and legal form, 2006-2010

    • data.europa.eu
    atom feed, json
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    Enterprise; sizeclass and legal form, 2006-2010 [Dataset]. https://data.europa.eu/data/datasets/4570-enterprises-sizeclass-and-legal-form-2006-2010
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    json, atom feedAvailable download formats
    License

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

    Description

    This table includes information on the number of enterprises and institutions broken down by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Besides the breakdown by NCEA, the number of enterprises is broken down by size class or legal form. The number of enterprises is rounded by a multiple of 5. The data refer to the situation on 1 January of the year concerned.

    Data available from: 2006

    Status of the figures: All data recorded in this publication are definite.

    Last changes: Data broken down by NCEA 1993 have been converted to data broken down by NCEA NCEA 2008.

    When will new figures be published? Changes as of 20 April 2012: This table has been stopped. Two points in the processing of the data have changed: the statistical unit has been changed. the check on economic activity of an enterprise has been broadened. As a consequence of this, more entrepeneurs have entered the population of Dutch enterprises. Due to these changes, the figures are no longer comparable to those of the previous years. So a new table has been started from 2007 onwards.

  11. g

    Local units by economic activity (SIC 2008), region, 2006-2010 | gimi9.com

    • gimi9.com
    Updated Sep 6, 2014
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    (2014). Local units by economic activity (SIC 2008), region, 2006-2010 | gimi9.com [Dataset]. https://gimi9.com/dataset/nl_4571-local-units-by-economic-activity--sic-2008---region--2006-2010/
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    Dataset updated
    Sep 6, 2014
    License

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

    Description

    This table includes information on the number of local units of enterprises and institutions (establishments) broken down by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Besides the breakdown by NCEA, the number of local units is broken down by regional characteristics. All characteristics of a region are derived from the municipality in which the local unit is located. The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Woerden, for example, was annexed by the province of Utrecht on 1 January 1989, and is classified under the province of Utrecht in the Table. The number of local units is rounded by a multiple of 5. The data refer to the situation on 1 January of the year of observation. Data available from: 2006 Status of the figures: All data recorded in this publication are final data. Last changes: Data broken down by NCEA 1993 are transformed into data broken down by NCEA 2008. When will new figures be published? Changes as of 20 April 2012: This table has been stopped. Two points in the processing of the data have changed: - the statistical unit has been changed. - the main economic activity (NCEA 2008) of the local unit has been implemented. Due to these changes, the figures are no longer comparable to those of the previous years. Therefore a new table has been started from 2007 onwards.

  12. r

    Data from: NCEA's Remote Monitoring and Automatic Detection of Grain Crop...

    • researchdata.edu.au
    Updated Apr 3, 2025
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    Tscharke Matthew; Tscharke, Matthew (2025). NCEA's Remote Monitoring and Automatic Detection of Grain Crop Attributes for GRDC Variety Trials [Dataset]. http://doi.org/10.26192/TTQ9-V179
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    University of Southern Queensland
    Authors
    Tscharke Matthew; Tscharke, Matthew
    Description

    The National Variety Trials (NVT) involve a yearly coordination of 630 grain trials conducted across 250 locations in Australia. At different stages of the crop season Trial Service Providers visually assess the attributes of the grain plants in each trial-plot to evaluate the growth and development of the different grain varieties. This involves manual measurements related to: (i) plant dimensions (height, canopy size); (ii) different stages of growth (seedling, tillering, jointing, boot and flowering); and (iii) germination rate. However, the availability of personnel to perform this monitoring is likely to be constrained to larger research stations. These plant attributes can be visually monitored and automatically detected using remote camera-based machine vision technologies to improve the timeliness and consistency of assessment of the grain varieties. In addition to streaming visual data of the crop, there is potential for machine vision technology to automatically analyse the images to determine a range of plant attributes and performance indicators from video-frame samples collected daily; such as flowering behaviour (50% of the plot to anthesis) and crop height. The data captured, processes and stored will be used to determine variation between varieties of grains across Australia.

  13. Legal services (7411 NCEA 93) Results by breakdown of turnover by customer...

    • ine.es
    csv, html, json +4
    Updated Dec 23, 2009
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    INE - Instituto Nacional de Estadística (2009). Legal services (7411 NCEA 93) Results by breakdown of turnover by customer activity and employed workers [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t37/e01/p01/a2007/l0/&file=04001a.px&L=1
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    txt, xls, text/pc-axis, csv, xlsx, json, htmlAvailable download formats
    Dataset updated
    Dec 23, 2009
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Employed personnel, Turnover breakdown according to activity carried out
    Description

    Statistics on Products in the Services Sector: Legal services (7411 NCEA 93) Results by breakdown of turnover by customer activity and employed workers. National.

  14. a

    National Trees Outside Woodland Map

    • data-forestry.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 30, 2025
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    mapping.geodata_forestry (2025). National Trees Outside Woodland Map [Dataset]. https://data-forestry.opendata.arcgis.com/documents/01667a77c65f4fd9aaf6a45279373a25
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    mapping.geodata_forestry
    Description

    The National Trees Outside Woodland (TOW) V1 map is a vector product funded by DEFRA’s Natural Capital and Ecosystem Assessment (NCEA) programme produced under Forest Research’s Earth Observation for Trees and Woodlands (EOTW) project. The TOW map identifies canopy cover over 3m tall and 5m2 area which exists outside the National Forest Inventory (National Forest Inventory - Forest Research). Canopy cover is categorised into the following woodland types - lone trees, groups of trees and small woodlands. The data set was derived from the Vegetation Object Model (VOM) (Environment Agency, EA), the National Lidar Survey (EA), and Sentinel-2 (European Space Agency) imagery using spatial algorithms. The method is fully automated with no manual manipulation or editing. The map and its production method has been quality assured by DEFRA science assurance protocols and assessed for accuracy using ground truth data. Because the process classifies objects based on proximity to features within OS mapping, there could be some misclassifications of those objects not included in the OS (specifically: static caravans, shipping containers, large tents, marquees, coastal cliffs and solar farms). This is a first release of this dataset, the quality of the production methods will be reviewed over the next year, and improvements will be made where possible. The TOW map is available under open government licence and free to download from the Forestry Commission open data download website (Forestry Commission) and view online on the NCEA ArcGIS Online web portal (Trees Outside Woodland). A full report containing details on methodology, accuracy and user guide is available. TOW map web portal link : Trees Outside Woodland Public Map FR TOW map web page : Trees Outside Woodland Map - Forest Research

  15. Company sector(NCEA Division 73:R+D Services).Resources allocated to R+D by...

    • ine.es
    csv, html, json +4
    Updated Jun 29, 2005
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    INE - Instituto Nacional de Estadística (2005). Company sector(NCEA Division 73:R+D Services).Resources allocated to R+D by branch of activity and type of indicator. [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t14/p057/a2001/l1/&file=secto01b.px&L=1
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    xlsx, text/pc-axis, xls, csv, txt, html, jsonAvailable download formats
    Dataset updated
    Jun 29, 2005
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Type of indicator, Branch of activity
    Description

    Statistics on R&D Activities in the Business Sector: Company sector(NCEA Division 73:R+D Services).Resources allocated to R+D by branch of activity and type of indicator. National. Companies.Resources allocated to R+D (Division 73) by branch of activ. and type of indicator.

  16. Percentage structure over gross labour cost by cost components, size of the...

    • ine.es
    csv, html, json +4
    Updated Mar 7, 2005
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    INE - Instituto Nacional de Estadística (2005). Percentage structure over gross labour cost by cost components, size of the company and NCEA-93 economic activity. [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t22/p132/a1996/l0/&file=01004.px&L=1
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    text/pc-axis, xls, json, csv, txt, xlsx, htmlAvailable download formats
    Dataset updated
    Mar 7, 2005
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Cost components, Size of the company, NCEA-93 economic activity
    Description

    Annual Labour Cost Survey: Percentage structure over gross labour cost by cost components, size of the company and NCEA-93 economic activity. National.

  17. Total Marsh at Mispillion, DE, Lower Delaware Bay, Intermediate Sea Level...

    • catalog.data.gov
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment (Publisher) (2025). Total Marsh at Mispillion, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA [Dataset]. https://catalog.data.gov/dataset/total-marsh-at-mispillion-de-lower-delaware-bay-intermediate-sea-level-rise-scenario-protect-de13
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Delaware Bay
    Description

    This raster GIS dataset contains 5-meter-resolution cells depicting the areas of total marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Total marsh (TM) was defined as the sum of low marsh and high marsh [SLAMM category 8 + SLAMM category 7 + SLAMM category 20]. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. 1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. 2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. 3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). Prior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. Note: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).

  18. Business demography, European standard; legal form, SIC2008

    • cbs.nl
    • ckan.mobidatalab.eu
    • +1more
    xml
    Updated Oct 16, 2024
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    Centraal Bureau voor de Statistiek (2024). Business demography, European standard; legal form, SIC2008 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85201ENG
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    xmlAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2010 - 2022
    Area covered
    The Netherlands, Europe
    Description

    This table includes information on business demography according to the European standard. Figures in this table are also submitted in this form to Eurostat. Information concerns the population of active enterprises, enterprise births and deaths, and the 1, 2, 3, 4 and 5 year survivors after birth, broken down by size class based on number of employees and by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Data also includes persons employed and employees in active enterprises, births and deaths, as well as persons employed for surviving births at the start and end of the survival period.

    Data available from: 2010

    Status of the figures: The figures in this table are final for 2010 to 2021. The figures for 2022 are provisional. Only the data on Dissolved companies for 2022 will be adjusted.

    Changes as of October 16, 2024: The provisional figures for 2022 have been added.

    When will new figures be released? Figures on a new reporting year (T – 2) will be published in July of the current year T.

  19. e

    CSV - Chicago Homicides - 2007

    • gisinschools.eagle.co.nz
    Updated Jul 16, 2023
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    GIS in Schools - Teaching Materials - New Zealand (2023). CSV - Chicago Homicides - 2007 [Dataset]. https://gisinschools.eagle.co.nz/datasets/4665712da1fe4a99a04b1fd232b37e99
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    Dataset updated
    Jul 16, 2023
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Area covered
    Description

    CSV file of Homicide Crimes in Chicago for the year 2007.For use with the Chicago Crime NCEA Level 2 Geography assessment.Downloaded from the City of Chicago data portal July 2023.

  20. Business demography, European standard; size class,SIC2008

    • data.overheid.nl
    • ckan.mobidatalab.eu
    • +1more
    atom, json
    Updated Oct 16, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2024). Business demography, European standard; size class,SIC2008 [Dataset]. https://data.overheid.nl/en/dataset/31212-business-demography--european-standard--size-class-sic2008
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    atom(KB), json(KB)Available download formats
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Statistics Netherlands
    License

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

    Area covered
    Europe
    Description

    This table includes information on business demography according to the European standard. Figures in this table are also submitted in this form to Eurostat. Information concerns the population of active enterprises, enterprise births and deaths, broken down by legal form and by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Data also includes persons employed and employees in these enterprises.

    Data available from: 2010

    Status of the figures: The figures in this table are final for 2010 to 2021. The figures for 2022 are provisional. Only the data on Dissolved companies for 2022 will be adjusted.

    Changes as of October 16, 2024: The provisional figures for 2022 have been added.

    When will new figures be released? Figures on a new reporting year (T – 2) will be published in July of the current year T.

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Statista (2024). Share of school leavers with at least NCEA Level 2 New Zealand 2012-2017 by decile [Dataset]. https://www.statista.com/statistics/1064255/new-zealand-share-of-school-leavers-with-better-than-ncea-level-two-by-decile/
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Share of school leavers with at least NCEA Level 2 New Zealand 2012-2017 by decile

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

In 2017, 70.6 percent of students from the lowest three decile groups leaving secondary school in New Zealand did so while attaining at least NCEA Level 2. In comparison, 91.3 percent of school-leavers from the top three socio-economic groups had the same NCEA qualification. In New Zealand, students must attend school until they are 16 years old. The National Certificate of Educational Achievement (NCEA) is the official secondary school qualification in New Zealand. Students can gain NCEA Level 1, 2, or 3 if they meet the requirements set out by the standard.

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