Climate change presents significant challenges that necessitate robust policies and implementable strategies to support resilience and avoid maladaptation. The first step towards effective policy interventions is gaining a comprehensive understanding of the risks faced by our communities. By tailoring adaptation actions to address these risks, we can better serve our communities.
We have embarked on an initial exploratory analysis to examine what risks exist specifically for hapori Māori. By assessing the socio-economic circumstances and resilience of hapori Māori exposed to various climate hazards, the findings published in this report offer valuable insights to inform the immediate shaping of future climate change policy design.
This page includes key visualisations from this study. We have included a comprehensive map of the climate hazards projected to affect the greatest number of Māori households in the future, namely heatwaves, droughts, extreme hot days, wet spells, extreme rainfall and sea level rise. It also covers the hazards already significantly impacting Māori households, such as flooding. Furthermore, the page delves into the socio-economic circumstances and resilience of Māori communities exposed to these climate hazards, shedding light on disparities and areas that may require targeted policies. For instance, it emphasises the vulnerability of hapori Māori in coastal areas due to sea level rise, as well as the challenges faced by older Māori households with lower adaptability due to factors like social isolation and lack of support systems.
Before using this application, please take a moment to read the
Methodology and Data section. Click on the following tabs to see the
results:
This map provides both overall climate and socio-economic information at a regional level. You can use the layers control icon to switch between these two layers on the map. Additionally, we have included more detailed maps for each regional council at the Statistical Area 2 (SA2) level. These maps can be accessed via popup windows by clicking on a region or using the navbar at the top of this page. The climate-based maps for SA2s include various socio-economic filter layers that can be overlaid on climate information. Similarly, the socio-economic-based maps can be masked by climate filter layers. Note that a higher decile number corresponds to a greater risk level in these maps.
This visualisation tool facilitates data exploration and analysis by transforming the dataset into a concise summary table. Additionally, it offers an optional 2-dimensional drag-and-drop user interface that allows users to manipulate this summary table, effectively converting it into a pivot table. Furthermore, we have included several plugins that allow the summary table to be rendered as various types of charts, effectively turning the pivot table into a dynamic pivot chart. The information provided in this table excludes SA2s with missing climate or socio-economic information. Note that the table displays output for attribute values that exist in the data. If there is no data related to a specific category, the corresponding cells are left blank.
Table
or Bar Chart
SA2 Count
, Sum
, and moreSA2s that are at the highest risk of floods and simultaneously face the greatest risk of poverty by regional council. The areas are arranged in descending order by the number of people in Māori households.
SA2s that are at the highest risk of extreme rainfall and simultaneously face the greatest health risk, with cells arranged and highlighted based on population density.
Number of Māori businesses located in areas with varying coastal inundation levels by TPK region.
Distribution of marae in terms of overall climate and adaptability risk indices, with cells highlighted based on the number of marae.
This tool is designed to help users search for specific locations and gain comprehensive insights about them. By simply entering the name of a city, town, or suburb into the search bar, users can access detailed information including geographic data, demographic statistics, infrastructure, climate variables, and socio-economic indicators of the overlapping SA2 areas. The findings provide a comprehensive view of the area, making it easier for users to understand the characteristics and conditions of different locations. The location data is based on New Zealand Suburbs and Localities, a dataset administered by Toitū Te Whenua Land Information New Zealand (last updated on August 2024).
All Results
to view all overlapping SA2 areas,
and select an SA2 to expand its information, the search results are
ordered by the extent to which a place’s shape is covered by an SA2Climate
or SES
button to
view the corresponding visualisationSearch for Suburbs and Localities: