Relevant bibliographies by topics / New Zealand Census

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  2. Dissertations / Theses
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  4. Book chapters
  5. Conference papers

Academic literature on the topic 'New Zealand Census'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "New Zealand Census"

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Lewis, James, and Andreas Baumann. "New Religions and the New Zealand Census." International Journal for the Study of New Religions 2, no. 2 (December 31, 2011): 179–200. http://dx.doi.org/10.1558/ijsnr.v2i2.179.

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From the very beginning of NRM studies, researchers were focused on understanding who joined new religions and why. By the 1980s, we had reached a consensus profile of young, educated converts who joined primarily via social networks. However, by the twenty-first century, the situation on the ground had changed, in part because of the rising age and greater diversity of recruits to alternative religions and in part because of changes resulting from changes such as the emergence of the Internet as a new environment for non-traditional religions. The present article examines data from the New Zealand census to demonstrate the point that the earlier profile of members of non-traditional reached in the 1970s and 1980s has been superseded, and, further, that it is no longer possible to discuss NRM members “in general,” as a class demographically distinct from members of other religious organizations.
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Easton, Brian. "Smoking in New Zealand: a census investigation." Australian Journal of Public Health 19, no. 2 (February 12, 2010): 125–29. http://dx.doi.org/10.1111/j.1753-6405.1995.tb00360.x.

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Blakely, Tony, Alistair Woodward, and Clare Salmond. "Anonymous linkage of New Zealand mortality and Census data." Australian and New Zealand Journal of Public Health 24, no. 1 (February 2000): 92–95. http://dx.doi.org/10.1111/j.1467-842x.2000.tb00732.x.

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Butcher, Andrew. "From Settlement to Super-diversity: The Anglican Church and New Zealand’s Diversifying Population." Journal of Anglican Studies 15, no. 1 (November 28, 2016): 108–29. http://dx.doi.org/10.1017/s1740355316000267.

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AbstractAnglicanism in New Zealand can be traced back to the beginning of New Zealand settlement itself. From its earliest days, the Anglican Church has deliberately set out to bridge divides between New Zealand’s indigenous population, Māori, and Europeans, though with mixed success. This article will illustrate that, even with this experience in bicultural engagement, the Anglican Church has not adapted well to the super-diverse multicultural New Zealand of the twenty-first century. Census data reveal that the Anglican Church has had a precipitous drop in numbers, and has a demographic profile that is much older and whiter than the general New Zealand, let alone Christian, population. This poses significant challenges for its ongoing sustainability. Given the common experience of super-diversity with other Western countries, this article provides a case study and a cautionary tale about the challenges and realities of the Anglican Church adjusting to a new multicultural society.
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Hajat, Anjum, Tony Blakely, Saira Dayal, and Santosh Jatrana. "Do New Zealand's immigrants have a mortality advantage? Evidence from the New Zealand Census-Mortality Study." Ethnicity & Health 15, no. 5 (October 2010): 531–47. http://dx.doi.org/10.1080/13557858.2010.496479.

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Meek, John. "Gangs in New Zealand Prisons." Australian & New Zealand Journal of Criminology 25, no. 3 (December 1992): 255–77. http://dx.doi.org/10.1177/000486589202500304.

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Gangs became a permanent feature of New Zealand prisons during the 1980s. Surveys indicate that more than 20% of inmates have past or present gang affiliations. This article looks at the gang phenomenon both in the community and in prisons. A case study looking at the impact of gangs at Auckland Maximum Security Prison (Paremoremo) is included; a unique inmate subculture was destroyed and inter-gang conflict resulted in the prison being run on a unit basis. Using information from the 1989prison census, including unpublished material, the article examines the level of gang membership and compares gang members and unaffiliated inmates over a range of variables. Gang members were found to be more likely to be younger, classified as requiring medium or maximum security custody, convicted of violent offences and serving longer sentences. The article also looks at management approaches to gangs in prisons and a fresh approach being adopted by the Department of Justice.
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Broman, Patrick, and Tahu Kukutai. "Fixed not fluid: European identification in the Aotearoa New Zealand census." Journal of Population Research 38, no. 2 (April 23, 2021): 103–38. http://dx.doi.org/10.1007/s12546-021-09262-4.

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Campbell, Malcolm. "New Zealand Census 2013: A short commentary on the role which the Census plays and the findings of the 2013 Census." New Zealand Geographer 71, no. 2 (July 30, 2015): 105–9. http://dx.doi.org/10.1111/nzg.12082.

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Gott, Merryn, Joanna Broad, Xian Zhang, Lene Jarlbaek, and David Clark. "Likelihood of death among hospital inpatients in New Zealand: prevalent cohort study." BMJ Open 7, no. 12 (December 2017): e016880. http://dx.doi.org/10.1136/bmjopen-2017-016880.

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Objectives(1) To establish the likelihood of dying within 12 months for a cohort of hospital inpatients in New Zealand (NZ) on a fixed census date; (2) to identify associations between likelihood of death and key sociodemographic, diagnostic and service-related factors and (3) to compare results with, and extend findings of, a Scottish study undertaken for the same time period and census date. National databases of hospitalisations and death registrations were used, linked by unique health identifier.Participants6074 patients stayed overnight in NZ hospitals on the census date (10 April 2013), 40.8% of whom were aged ≥65 years; 54.4% were women; 69.1% of patients were NZ European; 15.3% were Maori; 7.6% were Pacific; 6.1% were Asian and 1.9% were ‘other’.SettingAll NZ hospitals.Results14.5% patients (n=878) had died within 12 months: 1.6% by 7 days; 4.5% by 30 days; 8.0% by 3 months and 10.9% by 6 months. In logistic regression models, the strongest predictors of death within 12 months were: age ≥80 years (OR=5.52(95% CI 4.31 to 7.07)); a history of cancer (OR=4.20(3.53 to 4.98)); being Māori (OR=1.62(1.25 to 2.10)) and being admitted to a medical specialty, compared with a surgical specialty (OR=3.16(2.66 to 3.76)).ConclusionWhile hospitals are an important site of end of life care in NZ, their role is less significant than in Scotland, where 30% of an inpatient cohort recruited using similar methods and undertaken on the same census date had died within 12 months. One reason for this finding may be the extended role of residential long-term care facilities in end of life care provision in NZ.
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Bycroft, Christine. "Census transformation in New Zealand: Using administrative data without a population register." Statistical Journal of the IAOS 31, no. 3 (August 27, 2015): 401–11. http://dx.doi.org/10.3233/sji-150916.

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Dissertations / Theses on the topic "New Zealand Census"

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Walker, Lyndon. "Modelling inter-ethnic partnerships in New Zealand 1981-2006: a census-based approach." Thesis, University of Auckland, 2010. http://hdl.handle.net/2292/5823.

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This thesis examines the patterns of ethnic partnership in New Zealand using national census data from 1981 to 2006. Inter-ethnic partnerships are of interest as they demonstrate the existence of interaction across ethnic boundaries, and are an indication of social boundaries between ethnic groups. A follow-on effect of inter-ethnic marriage is that children of mixed ethnicity couples are less likely to define themselves within a single ethnic group, further reducing cultural distinctions between the groups. The main goals of the research are to examine the historical patterns of ethnic partnership, and then use simulation models to examine the partnership matching process. It advances the current research on ethnic partnering in New Zealand through its innovative methodology and its content. Previous studies of New Zealand have examined at most two time periods, whereas this study uses six full sets of census data from a twenty-five year period. There are two key components to the methodological innovation in this study. The first is the use of log-linear models to examine the patterns in the partnership tables, which had previously only been analysed using proportions. The second is the use of the parallel processing capability of a cluster computing resource to run an evolutionary algorithm which simulated the partnership matching process using unit-level census data of the single people in the Auckland, Wellington and Canterbury regions. The European group showed a much lower rate of same ethnicity partnering than that suggested by the proportion of homogamous couples. European individuals and Maori individuals showed similar rates of same ethnicity partnering, with little change over time. The Pacific group was the only one to see an increasing tendency for same-ethnicity partnerships, whilst the rate for Asian people decreased dramatically. Individuals with dual ethnic affiliations were more likely to have a partial match of ethnicity than none at all, and there was evidence of gender asymmetry amongst some ethnic combinations. The evolutionary algorithm showed that age and education similarities were the dominant matching factors for recreating ethnic patterns. The rate of same-ethnicity and mixed-ethnicity partnerships also contributed to the matching algorithm, providing some evidence of a micro-macro link.
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Kardos, Julian, and n/a. "Visualising attribute and spatial uncertainty in choropleth maps using hierachical spatial data models." University of Otago. Department of Information Science, 2006. http://adt.otago.ac.nz./public/adt-NZDU20060908.151014.

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This thesis defines a novel and intuitive method to visually represent attribute uncertainty, and spatial boundary uncertainty generated from choropleth maps. Like all data, it is not possible to know exactly how far from the truth spatial data used for choropleth mapping is. When spatial data is used in a decision-making context a visual representation of data correctness may become a valuable addition. As an example, the visualisation of uncertainty is illustrated using choropleth mapping techniques superimposed on New Zealand 2001 census data, but other spatial datasets could have been employed. Both attribute and spatial uncertainty are considered, with Monte Carlo statistical simulations being used to model attribute uncertainty. A visualisation technique to manage certain choropleth spatial boundary issues (i.e. the modifiable areal unit problem - MAUP) and uncertainty in attribute data is introduced, especially catering for attribute and choropleth spatial boundary uncertainty simultaneously. The new uncertainty visualisation method uses the quadtree spatial data model (SDM) in a novel manner. It is shown that by adapting the quadtree SDM to divide according to uncertainty levels possessed by attributes (associated with areal units), rather than divide on the basis of homogeneous regions (as the original quadtree design was intended), a measure of attribute and choropleth spatial boundary uncertainty can be exhibited. The variable cell size of the structure expresses uncertainty, with larger cell size indicating large uncertainty, and vice versa. The new quadtree SDM was termed the trustree. A software suite called TRUST v1.0 (The Representation of Uncertainty using Scale-unspecific Tessellations) was developed to create square trustree visualisations. The visual appeal and representational accuracy of the trustree was investigated. Representative accuracy and visual appeal increased when using hexagonal tessellations instead of the quadtree�s traditional square tessellation. In particular, the Hexagonal or Rhombus (HoR) quadtree designed by Bell et al. (1989) was used to programme TRUST v1.1. Using the HoR quadtree in rhombic mode (TRUST v1.1.1) produced Orbison�s optical illusion, so it was disregarded. However, the HoR trustree (the hexagonal tessellation produced by TRUST v1.1.2) was adopted for further research and user assessment. When assessed using an Internet survey, the HoR trustree adequately displayed choropleth spatial boundary uncertainty, but not attribute uncertainty. New trustree visualisations, the value-by-area (VBA) trustree and adjacent HoR trustree were developed to help increase the expression of attribute uncertainty. Upon reassessment, the new trustree visualisations were deemed usable to express attribute uncertainty and choropleth spatial boundary uncertainty at a modest 58% usable (HoR trustree), 80% usable (VBA trustree) and 85% usable (adjacent HoR trustree). A usability test (where participants were asked to spot different levels of uncertainty) validated these results, whereby the HoR trustree achieved a 65% accuracy level and the VBA trustree achieved an 80% accuracy level. The user assessments helped to highlight that the trustree could be used in two ways, to express detail within or clutter over areal units. The HoR trustree showed (1) a level of detail (or resolution) metaphor, where more detail represented more accuracy and/or the reverse, (2) a metaphor of clutter, where the data structure output was sufficiently dense as to cover spatial information, in effect hiding uncertain areas. Further Internet survey testing showed the trustree tessellation works better when representing a metaphor of detail. Attribute and spatial uncertainty can be effectively expressed depending on the tessellation level used. Overall, the new TRUST suite visualisations compare favourably with existing uncertainty visualisation techniques. Some uncertainty visualisation methods consistently performed better than the TRUST visualisations such as blinking areas, adjacent value and non-continuous cartograms. Other methods like colour saturation, image sharpness and a three-dimensional surface frequently performed with less usability. Therefore, the TRUST visualisations have found their place amongst other uncertainty visualisation methods. However, survey results showed that TRUST is a viable option for visualising two forms of uncertainty - attribute and spatial uncertainty. No other visualisation method has these capabilities. Further research could include a laboratory assessment of TRUST and also incorporating vagueness and temporal uncertainty concepts. Additionally, end-user testing could provide a valuable insight into uncertainty visualisation for everyday use. Adopting uncertainty methods to uncertainty, such as the technique presented here, into the mainstream decision making environment could be considered a fundamental objective for future investigation in spatial studies.
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Books on the topic "New Zealand Census"

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Didham, Robert Allan. Fertility of New Zealand women by ethnicity: Based on New Zealand 1996 Census of Population and Dwellings. Wellington, N.Z: Statistics New Zealand, 2004.

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New Zealand. Dept. of Statistics. New Zealand census of forestry and logging, 1983-84. Wellington, N.Z: Dept. of Statistics, 1986.

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Blakely, Tony. The New Zealand census-mortality study: Socioeconomic inequalities and adult mortality, 1991-94. Wellington, N.Z: Ministry of Health, 2002.

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Didham, Robert Allan. Socio-economic factors and the fertility of New Zealand women: A study of data from the New Zealand 1996 Census of Population and Dwellings. Wellington, N.Z: Statistics New Zealand = Te Tari Tatau, 2001.

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Lowe, Jeremy. The Australian Maori population: A demographic analysis based on 1986 Australian and New Zealand census data = Nga Maori ki ahiterēria. Wellington: New Zealand Planning Council, 1990.

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Report of the review of the measurement of ethnicity, June 2004. Wellington, N.Z: Statistics New Zealand, 2004.

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Thomson, Barbara. Ethnic groups in New Zealand: A statistical profile : a report on main population groups in the Ethnic Sector, prepared for the Ethnic Affairs Service, based on information from the Census of population and dwellings, 1991. Wellington, N.Z: Policy Research Section, Policy and Planning Unit, Department of Internal Affairs, 1993.

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Thomson, Barbara. Ethnic diversity in New Zealand: A statistical profile : a report on main population groups in the ethnic sector, prepared for the Ethnic Affairs Service, based on information from the Census of population and dwellings, 1996. Wellington, N.Z: Research Unit, Dept. of Internal Affairs, 1999.

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New Zealand. Dept. of Statistics., ed. New Zealand's multicultural society: 1991 New Zealand census of population and dwellings. Wellington, N.Z: Dept. of Statistics, 1993.

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New Zealand. Dept. of Statistics., ed. 1991 New Zealand census of population and dwellings. Wellington, New Zealand: Dept. of Statistics, 1991.

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Book chapters on the topic "New Zealand Census"

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Cullen, Rowena. "New Zealand's 2006 Census Online: A Case Study." In Digital Government, 647–70. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-71611-4_30.

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Paynter, John, and Gabrielle Peko. "E-Census 2006 in New Zealand." In Handbook of Research on Public Information Technology, 201–8. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-857-4.ch019.

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A census is an official count. It can be contrasted with sampling in which information is only obtained from a subset of a population. As such, it is a ethod used for accumulating statistical data, and it is also vital to democracy (voting). Census data is also commonly used for research, business marketing, and planning purposes. In New Zealand a census is held every five years. It is a snapshot on the chosen day when the number of people and dwellings (houses, flats, apartments) counted. Everyone in the country on that day is asked to complete census forms. There are two census forms. The blue individual form must be completed by everyone in your household on census day. The brown dwelling form must be completed by one person in our household. For the 2006 census an option was introduced to complete the forms on the Internet. Other initiatives included sending text messages about this process, amongst other things to the enumerators (collectors) whose job it is to collate the information in the field.
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Summersgill, Angela. "Without borders: community development, biculturalism and multiculturalism." In Community Organising Against Racism. Policy Press, 2017. http://dx.doi.org/10.1332/policypress/9781447333746.003.0020.

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Aotearoa/New Zealand is considered one of the most multicultural countries on the planet. The 2013 census revealed that ‘New Zealand has more ethnicities than there are countries in the world. In total, 213 ethnic groups were identified in the census, whereas there are 196 countries recognised by Statistics New Zealand’. This chapter shares some of the issues, experiences, questions, and practice implications arising for the author, a mixed-race, British-born community development practitioner and social work educator living in Aotearoa. She has sought to better understand the issues and questions regarding the coexistence of biculturalism and multiculturalism; and to question what it might be that we separately and collectively need to do in order to move forward with respect and inclusivity.
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Prebble, J. G., E. M. Crouch, and G. Cortese. "Data report: Quaternary dinoflagellate cyst and pollen census counts from IODP Hole U1352B, Canterbury Basin, New Zealand." In Proceedings of the IODP. Integrated Ocean Drilling Program, 2014. http://dx.doi.org/10.2204/iodp.proc.317.207.2014.

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Conference papers on the topic "New Zealand Census"

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Butler-Henderson, Kerryn, Kathleen Gray, Karen Day, and Rebecca Grainger. "Defining the Health Information Technology discipline: results from the 2018 Australian and New Zealand censuses." In ACSW '20: Australasian Computer Science Week 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3373017.3373043.

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