Hello,

We are currently processing your request.

Stats NZ currently produces statistics on the number, floor area, and
value of consents for dwellings. Please refer to
[1]https://www.stats.govt.nz/topics/building

Total land area statistics, related to these consents (in reference to
your first question), have not been produced before, although we may be
able to produce an experimental series.

Due to the nature of the data it will have some limitations, and may take
some time to produce.

If we are able to produce the data, the limitations may include (but are
not limited to):

o Imperfect matching between street address descriptions recorded on the
building consents data we receive and the parcel on which a dwelling
will be built on.
o In some cases, multiple homes may be built on the same piece of land.
These homes may be built at different times, which can affect the
accuracy of the results.

We do not currently hold any information on the final amount of new
dwellings built within each Territorial Authority (question 2), or any
sales that have occurred (question 3). We only collect data on building
consents issued, some information on a sample of building projects, and
information on property transfers, although these aren’t limited to just
sales. Each Territorial Authority collects information on the issuance of
Code Compliance Certificates which will be a better indicator of the
amount of new dwellings built.

An experimental piece done previously has been used to provide insights
into the proportion of dwelling consents that actually get built. This can
be found here:
[2]https://www.stats.govt.nz/experimental/e...

The estimated time it will take to produce these estimates will be around
10 hours in total. The cost associated with this work will be $1,550 +
gst.

Would you be able to notify us of the urgency of your request so that we
may be able to set an appropriate deadline ?

If you are associated with a university, this work may be covered by the
CONZUL Agreement. Please refer to
[3]https://www.stats.govt.nz/services/custo...

Please contact me if you have any questions or would like to discuss your
request in more detail.

 

Regards

Ewan Jonasen
Customer Service Delivery – Customised Data
Stats NZ | Tatauranga Aotearoa

BNZ Centre | 120 Hereford St, Christchurch 8011

[4]stats.govt.nz | +64 3 964 8720

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[5]Facebook | [6]Twitter | [7]LinkedIn

 

References

Visible links
1. https://www.stats.govt.nz/topics/building
https://www.stats.govt.nz/topics/building
2. https://www.stats.govt.nz/experimental/e...
3. https://www.stats.govt.nz/services/custo...
4. http://www.stats.govt.nz/
5. https://www.facebook.com/StatisticsNZ
6. https://twitter.com/Stats_NZ
7. https://www.linkedin.com/company/statist...

Hello all

 

I am following up on this request with the data custodians, who will
provide me with the amount of hours needed to complete the work. Once I
have this, I will provide a quote with specifications.

 

As this is a data request, I will transfer and keep all correspondence and
documentation within Stats NZ customer relationship management tool
(Oneview), rather than OIA FYI.org.nz.

Data requests are covered by the Statistics Act. Please let me know if you
have any concerns.

 

[1]https://fyi.org.nz/request/15289-buildin...

 

The Stats NZ reference number for this work is REQ-14322.

 

 

Regards

 

 

Ewan Jonasen
Customer Service Delivery – Customised Data
Stats NZ | Tatauranga Aotearoa

BNZ Centre | 120 Hereford St, Christchurch 8011

[2]stats.govt.nz | +64 3 964 8720

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[3]Facebook | [4]Twitter | [5]LinkedIn

 

 

From: Clare McGuigan <[email address]>
Sent: Thursday, 10 June 2021 11:31 AM
To: Donna MacColl <[email address]>
Cc: Mingquan Zhou <[email address]>; Ewan Jonasen
<[email address]>
Subject: RE: CONZUL Agreement enquiry

 

Hi Donna,

Ewan will reply to you and Mingquan, with CONZUL hours in mind for using.

It may be the subject matter area who produce data (as we may not have
access to all required).

I think he needs to follow up with Mingquan for more detail about the
request.

 

Kind regards,

Clare

 

Clare McGuigan

Customer Service Delivery – Customised Data
Stats NZ | Tatauranga Aotearoa

BNZ Centre | 120 Hereford St, Christchurch 8011

[6]stats.govt.nz | +64 3 964 8377

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[7]Facebook | [8]Twitter | [9]LinkedIn

 

 

 

From: Donna MacColl <[10][email address]>
Sent: Thursday, 10 June 2021 7:53 AM
To: Clare McGuigan <[11][email address]>
Cc: Mingquan Zhou <[12][email address]>; Ewan Jonasen
<[13][email address]>
Subject: RE: CONZUL Agreement enquiry

 

Kia ora Clare and Ewan,

 

Mingquan would like to use CONZUL hours for a query she has sent through
and Ewan has responded to. There is a little more detail in the link. If
you need anymore information please get in touch.

 

Ngâ mihi,

Donna

 

Dr Donna MacColl - Research Services Adviser

Te Tumu Herenga | Libraries and Learning Services

Te Whare Wânanga o Tâmaki Makaurau | The University of Auckland

[14][email address] | Ph 64 9 923 7408

 

 

From: Mingquan Zhou <[15][email address]>
Sent: Wednesday, 9 June 2021 9:40 pm
To: Donna MacColl <[16][email address]>
Subject: CONZUL Agreement enquiry

 

Hi Donna,

 

I am a PhD student in the Department of Accounting and Finance
(ID:557485457). I’m working with another researcher (a PhD student in the
Department of Property) on a project related to NZ housing supply, and we
need some data from Stats NZ.

We’ve made an FOI request, and Stats NZ told us that the CONZUL Agreement
might cover the fee if we are associated with uni.

Please refer to the link below for further information:

[17]https://fyi.org.nz/request/15289-buildin...

 

Could you please help us with it?

Thank you for your time!

 

Kind regards,

Mingquan

References

Visible links
1. https://fyi.org.nz/request/15289-buildin...
2. http://www.stats.govt.nz/
3. https://www.facebook.com/StatisticsNZ
4. https://twitter.com/Stats_NZ
5. https://www.linkedin.com/company/statist...
6. http://www.stats.govt.nz/
7. https://www.facebook.com/StatisticsNZ
8. https://twitter.com/Stats_NZ
9. https://www.linkedin.com/company/statist...
10. mailto:[email address]
11. mailto:[email address]
12. mailto:[email address]
13. mailto:[email address]
14. mailto:[email address]
15. mailto:[email address]
16. mailto:[email address]
17. https://fyi.org.nz/request/15289-buildin...

Hello all

 

The data custodian is having a look at the work involved for providing the
two sets of information – I should now more later in the week.

Feel free to contact me if you have any questions or would like to know
more.

 

Cheers

 

 

Ewan Jonasen

Design Analyst | Kaitâtari Hoahoa

Customer Service Delivery | Whakarato Ratonga Kiritaki
Stats NZ | Tatauranga Aotearoa | [1]stats.govt.nz | +64 3 964 8720

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[2]Facebook | [3]Twitter | [4]LinkedIn

 

From: Ewan Jonasen
Sent: Friday, 18 June 2021 10:00 AM
To: Donna MacColl <[email address]>; K Yang
<[FYI request #15289 email]>
Cc: Mingquan Zhou <[email address]>; Clare McGuigan
<[email address]>
Subject: Stats NZ: CONZUL - OIA request for Building Consents Information

 

Hello all

 

I am following up on this request with the data custodians, who will
provide me with the amount of hours needed to complete the work. Once I
have this, I will provide a quote with specifications.

 

As this is a data request, I will transfer and keep all correspondence and
documentation within Stats NZ customer relationship management tool
(Oneview), rather than OIA FYI.org.nz.

Data requests are covered by the Statistics Act. Please let me know if you
have any concerns.

 

[5]https://fyi.org.nz/request/15289-buildin...

 

The Stats NZ reference number for this work is REQ-14322.

 

 

Regards

 

 

Ewan Jonasen
Customer Service Delivery – Customised Data
Stats NZ | Tatauranga Aotearoa

BNZ Centre | 120 Hereford St, Christchurch 8011

[6]stats.govt.nz | +64 3 964 8720

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[7]Facebook | [8]Twitter | [9]LinkedIn

 

 

From: Clare McGuigan <[10][email address]>
Sent: Thursday, 10 June 2021 11:31 AM
To: Donna MacColl <[11][email address]>
Cc: Mingquan Zhou <[12][email address]>; Ewan Jonasen
<[13][email address]>
Subject: RE: CONZUL Agreement enquiry

 

Hi Donna,

Ewan will reply to you and Mingquan, with CONZUL hours in mind for using.

It may be the subject matter area who produce data (as we may not have
access to all required).

I think he needs to follow up with Mingquan for more detail about the
request.

 

Kind regards,

Clare

 

Clare McGuigan

Customer Service Delivery – Customised Data
Stats NZ | Tatauranga Aotearoa

BNZ Centre | 120 Hereford St, Christchurch 8011

[14]stats.govt.nz | +64 3 964 8377

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[15]Facebook | [16]Twitter | [17]LinkedIn

 

 

 

From: Donna MacColl <[18][email address]>
Sent: Thursday, 10 June 2021 7:53 AM
To: Clare McGuigan <[19][email address]>
Cc: Mingquan Zhou <[20][email address]>; Ewan Jonasen
<[21][email address]>
Subject: RE: CONZUL Agreement enquiry

 

Kia ora Clare and Ewan,

 

Mingquan would like to use CONZUL hours for a query she has sent through
and Ewan has responded to. There is a little more detail in the link. If
you need anymore information please get in touch.

 

Ngâ mihi,

Donna

 

Dr Donna MacColl - Research Services Adviser

Te Tumu Herenga | Libraries and Learning Services

Te Whare Wânanga o Tâmaki Makaurau | The University of Auckland

[22][email address] | Ph 64 9 923 7408

 

 

From: Mingquan Zhou <[23][email address]>
Sent: Wednesday, 9 June 2021 9:40 pm
To: Donna MacColl <[24][email address]>
Subject: CONZUL Agreement enquiry

 

Hi Donna,

 

I am a PhD student in the Department of Accounting and Finance
(ID:557485457). I’m working with another researcher (a PhD student in the
Department of Property) on a project related to NZ housing supply, and we
need some data from Stats NZ.

We’ve made an FOI request, and Stats NZ told us that the CONZUL Agreement
might cover the fee if we are associated with uni.

Please refer to the link below for further information:

[25]https://fyi.org.nz/request/15289-buildin...

 

Could you please help us with it?

Thank you for your time!

 

Kind regards,

Mingquan

References

Visible links
1. http://www.stats.govt.nz/
2. https://www.facebook.com/StatisticsNZ
3. https://twitter.com/Stats_NZ
4. https://www.linkedin.com/company/statist...
5. https://fyi.org.nz/request/15289-buildin...
6. http://www.stats.govt.nz/
7. https://www.facebook.com/StatisticsNZ
8. https://twitter.com/Stats_NZ
9. https://www.linkedin.com/company/statist...
10. mailto:[email address]
11. mailto:[email address]
12. mailto:[email address]
13. mailto:[email address]
14. http://www.stats.govt.nz/
15. https://www.facebook.com/StatisticsNZ
16. https://twitter.com/Stats_NZ
17. https://www.linkedin.com/company/statist...
18. mailto:[email address]
19. mailto:[email address]
20. mailto:[email address]
21. mailto:[email address]
22. mailto:[email address]
23. mailto:[email address]
24. mailto:[email address]
25. https://fyi.org.nz/request/15289-buildin...

Hello

We are currently working on your job for Total Land Area Statistics of Consents - the analyst has nearly finished the work, however it will still need to be checked once completed. I don’t have a date yet for delivery.

Unfortunately the experimental estimates can not be updated. After reviewing the work we found that the methodology doesn’t account for COVID-19. The lag and completion rate may have been impacted by COVID-19 or supply issues, which we need to understand. To update the data we would need to use a newer method that incorporates supplementary data. We would also need to understand the implications.

We suggest you focus on the broad finding of the experimental statistics - that roughly 97 percent of consented new dwellings usually get completed, and that there’s an average lag in the vicinity of nine months.

Give me a ring and we can talk further.

Regards

Ewan Jonasen
Design Analyst | Kaitātari Hoahoa
Customer Service Delivery | Whakarato Ratonga Kiritaki
Stats NZ | Tatauranga Aotearoa | stats.govt.nz | +64 3 964 8720

About Aotearoa, for Aotearoa
Data that improves lives today and for generations to come
 
Facebook | Twitter | LinkedIn

show quoted sections

Hello

 

Attached is the information you requested based on building consents
issued and land area. Reference numbers for this work is REQ14322 and
JOB11363

Please contact me if you have any questions.

 

Methodology to produce data:

 

Land area statistics are derived using building consents data and the LINZ
Primary Parcel dataset. Building site addresses are supplied with the
building consents data, and this is used to get a match to the PP dataset.
Only matched consents are included in the analysis.

Some consents are subsequently removed using a set of criteria. This
includes:

o Portable housing: often produced at a location but then moved to its
permanent site later, so the site address has a high probability of
being incorrect.
o No retirement village units are to be included. Included are
stand-alone houses, apartments, and townhouses/flats/units. Two
categories of dwellings were created for the datasets: (1) stand-alone
houses, and (2) apartments, townhouses, flats, units, and other
dwellings.

o Retirement village units were not included for a couple of
reasons, but primarily because:

+ They are often on land where a large portion is occupied by
other dwelling types
+ They are not open for consumption for the majority of people

o Outlier cases where the total land area for a set of consents do not
make sense. This usually involves filtering out cases where the land
is likely to be too small. Examples include cases where multiple
consents may have been linked incorrectly to the same address (and
thus parcel).

The limitations of this includes:

o The matching cannot be guaranteed to be 100% correct
o Not all consents are matched to a parcel
o In some cases multiple parcels may be under the same title
o It does not include information on any existing buildings on the
parcel (that hasn’t had a consent since April 1990)
o For a single dwelling, we cannot guarantee that the land use is
isolated to that particular dwelling:

o Other buildings may be on the same site (those which were
consented before April 1990)
o Other dwellings use more/less of the land
o Dwellings may have been built and demolished
o We may have some cases of incomplete data where councils have
accidentally not provided us with all of their data
o A small proportion of our dwellings are for conversions. This is
where a non-residential building, for example, has been converted
into dwellings. This can be hotels, garages etc. We aren’t able
to isolate any mixed-use for these consents either

o Quality of estimates are not guaranteed to be the same between areas
(TA/Region) or building type:

o Better matching rates
o Better quality data

On an individual dwelling-by-dwelling basis there is no way to determine
what the actual land use will be. This means that there may be some issues
with directly comparing TA’s that don’t have equal proportions of
rural/urban areas. As a result, one of the datasets contains data grouped
according to the Functional urban areas classification. More information
on this classification is available on our website. I’ve also added in a
column that contains the estimated median land area allocated to each
dwelling within a particular group. The land are allocated to each
dwelling is done in a very simple manner:

 1. For each parcel, find all dwellings consents on it.
 2. Split the total land area for each parcel by the number of dwellings
on it.
 3. Derive statistics based on these values.

This means that (a) we assume all dwellings on a parcel get an equal share
of the land, and (b) the statistics for any year is based on all dwellings
consented, even if they were consented in a later year. This ensures we
don’t double count land.

 

A lot of this does not actually present any conceptual issues, and this is
particularly true for stand-alone houses since they are the simplest cases
to deal with.

 

In terms of land-use again, parcels occupied with high-density dwellings
may not be completely comparable in some cases to dwellings such as
stand-alone houses. This is because many apartments, although built on
some piece of land, may not actually allow people to use any of the land
itself (ie there’s no outdoors space).

 

 

Descriptions for selected variables:

File 1: ‘Land-area-statistics-TA-Year-Type.csv’

o Total_dwellings: the number of new dwellings consented of that type in
the given area and year. This includes dwellings filtered out.
o Dwellings_included: for various reasons, including those mentioned
earlier, the matching is not perfect, and some subsequently get
removed as part of the data-cleaning step. This variable reflects the
total number of dwellings (by type, area, and year) that we included.
o Total_land_area_of_dwellings_included: The dwellings included were
used to produce a total – this total reflects the total amount of land
area allocated to the dwellings of that type and in the area and year
involved.

File 2: ‘Land-area-statistics-TA-Year-Type-FUA.csv’

o Median_land_area_per_dwelling: As before, a subset of dwellings were
used (by type, year, area) to produce a weighted median of the land
area allocated to each dwelling – This provides a ballpark measure of
the amount of land available per dwellings, regardless of how it is
actually used.
o Functional_urban_areas:
[1]https://www.stats.govt.nz/methods/functi....

 

 

Final notes

o Due to the experimental nature of these statistics, we cannot
guarantee is at our usual publication quality and that it should be
used with caution.
o We estimate that most (~95%+) of new dwellings consented are
eventually built (although this can fluctuate and dip below this),
although we have to recognise that some will get cancelled.

 

 

If you would like to get in contact with me to discuss things further I
would be more than happy to.

 

 

 

Regards

 

 

Ewan Jonasen

Design Analyst | Kaitātari Hoahoa

Customer Service Delivery | Whakarato Ratonga Kiritaki
Stats NZ | Tatauranga Aotearoa | [2]stats.govt.nz | +64 3 964 8720

 

About Aotearoa, for Aotearoa

Data that improves lives today and for generations to come

 

[3]Facebook | [4]Twitter | [5]LinkedIn

 

References

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1. https://www.stats.govt.nz/methods/functi...
2. http://www.stats.govt.nz/
3. https://www.facebook.com/StatisticsNZ
4. https://twitter.com/Stats_NZ
5. https://www.linkedin.com/company/statist...