Joint initiative to release 2018 iwi data estimates – Stats NZ media and information release: Iwi affiliation (estimated counts): 2018

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Source: MIL-OSI Submissions

Joint
initiative to release 2018 iwi data estimates – Media release

22 June 2021

The release of the 2018 iwi affiliation estimated
counts is a joint initiative of the Data Iwi Leaders Group (Data ILG),
a subgroup of the National Iwi Leaders Forum, and Stats NZ to address the
gaps in iwi affiliation data in the 2018 Census.

In April 2019, Stats NZ announced official
statistical counts of iwi from the 2018 Census would not be published due
to missing iwi affiliation data and a lack of alternative government data
sources to fill gaps in the data.

Under the Mana Ōrite Relationship Agreement,
Stats NZ and technicians of the Data ILG recognise the disproportionate
effects of the 2018 Census on iwi and have worked together to explore options
and develop appropriate mitigations to address the gaps.

“Delivering for and with Māori, iwi, and
hapū is one of our organisation’s four strategic priorities,” said Rhonda
Paku, Kaihautū – Director, Te Tohu Rautaki Angitū Māori, Stats NZ.

“We are working with iwi-Māori to progress
the Mana Ōrite work programme and we have increased our capacity, capability,
and focus to prioritise this work.”

“Positive outcomes for Māori benefit everyone.
Data is a taonga and as iwi reclaim their position as designers – as well
as users – of data, we will see iwi, hapū, and whānau thrive,” said
Professor Tahu Kukutai, Technician – Data ILG.

“The 2018 iwi affiliation estimated counts
provide a starting point for ongoing development of datasets made by iwi
for iwi.”

The 2018 iwi affiliation estimated counts
provide estimates of iwi population counts and characteristics for people
identified as being of Māori descent in the 2018 Census. They include,
for the first time, information for 32 iwi added to Stats NZ’s iwi classification
in 2017.

The work completed has reduced the impact
of the missing data, but there are limitations to how the estimates can
be used. Both Stats NZ and Data ILG are supporting iwi-Māori in how to
best understand and utilise the data.

“While not official census counts, for most
purposes the 2018 iwi estimates provide a more relevant and up-to-date
picture of iwi than continued use of 2013 Census data,” said Ms Paku.

“The Data ILG, with its understanding of
and connections to iwi populations, has played a critical role in the evaluation
and analysis of the 2018 Census iwi data, and use of appropriate methods
to improve the quality of the data to make these estimates possible.”

“We recognise there are shortcomings with
this data and how it can be used,” said Professor Kukutai.

“However, the progress being made in the
Māori data space is significant. With ongoing mahi and kōrero, we will
see better outcomes for whānau in the future.”

A significant work programme is underway
to support improved response rates for Māori in the 2023 Census and deliver
quality data for iwi-Māori. Programme initiatives include a larger community
engagement team to work with Māori communities, employing more local people
to assist with the collection of data at census time, and a range of activities
to support access to and understanding of census.

Stats NZ also received Budget funding this
year for a pilot to partner with iwi in two locations to provide training,
support community engagement, and enable iwi-led collection of census data
in 2023. This initiative aims to improve Māori response rates, and help
Māori build their capacity and capability to collect and analyse data.

The 2018 iwi affiliation estimated counts
are now jointly available on Te
Whata
and the Stats NZ website at Iwi
affiliation (estimated counts): 2018
.

Te Whata is a data platform tailored specifically
by iwi for iwi. It allows easy access to iwi data and a platform in which
iwi can store and analyse their own data. Currently, this platform contains
Stats NZ and Ministry of Education data.

Visit our website to read these news stories
and information release and to download CSV files:

MIL OSI

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