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The complexities of publishing gridded data for the UK The complexities of publishing gridded data for the UK

The complexities of publishing gridded data for the UK - PowerPoint Presentation

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The complexities of publishing gridded data for the UK - PPT Presentation

European Forum for Geostatistics Krakow October 2014 Ian Coady Geography Policy and Research Manager Office for National Statistics Why are we different No use of grids at the national or subnational ID: 633437

population data estimates level data population level estimates census postcode administrative areas microdata ons area national statistics grid publication

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Slide1

The complexities of publishing gridded data for the UK

European Forum for GeostatisticsKrakow – October 2014

Ian

Coady

Geography Policy and Research Manager

Office for National StatisticsSlide2
Slide3

Why are we different?

No use of grids at the national or sub-national levelNo use of administrative data in the collection and publication of statistics

Historic reliance on administrative boundaries for the publication of official statistics

Large user demand for Census

microdata

on administrative boundariesSlide4

But….

It is (partially) understood that the publication of Census microdata at the administrative level is not sustainable due to disclosure issues

INSPIRE has given us a common platform and specification for the publication of statistics

…and I am here to try promote the interoperability of data at the European levelSlide5

Output Areas

Created for the 2001 Census

Built around consistent numbers of population and households

Used postcodes as the building blocks

Included a high level of social homogeneity

Some cartographic constraints were usedSlide6
Slide7

Geography Policy for National StatisticsSlide8

Previous work on grids

1km grids provided between 2005 and 2006Provided by aggregating population estimates from the postcode level to the grids

Lack of administrative data sources meant data below postcode level was no longer available

ONS has provided data for England and Wales but (we think) Scotland and Northern Ireland have provided data separatelySlide9

Best-Fitting from PostcodeSlide10
Slide11
Slide12

Research Questions

1) How can the sex and age variables that do not currently exist on the postcode level mid-year population estimates be published? 

 

2

) How do the methodologies for publishing gridded population data differ across the devolved administrations of the UK, and how could this approach be harmonised?

3

) What is the statistical impact of publishing gridded data at the postcode aggregate level rather than from the

microdata

?

 

4

) What options exist for visualising gridded population data?Slide13

Small Area Population Estimates team no longer produce mid-year estimates at the postcode level

To align with the Geography Policy for National Statistics all estimates are now produced at the Output Area levelSlide14

Best-Fitting from Output AreasSlide15
Slide16
Slide17
Slide18
Slide19

Exact-Fitting from Census MicrodataSlide20
Slide21
Slide22
Slide23

Grid Methodologies

Level

Records

Frequency

Source

Additional Variables

Households

23,406,162

10 years

Census

Yes

Postcodes

Unknown

Unknown

No

Output

Areas

181,408

Annual

Mid-Year Estimates

NoSlide24

Other alternatives…..

Use soil sealing layer (SSL) to produce

dasymetric

reallocation of population:

Small

area population data are intersected with the SSL and used to re-weight population counts into settled areas, which are then aggregated to grid

cells

May

offer consistency with broader European practice, but inconsistent with other ONS approaches.

Disclosure

control attitude unknown and would need to be tested.

Offers alternative

to

postcode use

that

can

no longer be carried out.

 

Use

ONS built-up areas

layer

to produce

dasymetric

reallocation of population

:

Variant

of

previous option

but consistent with ONS data

sources as uses the

Built-Up Areas (BUA) layer instead of SSL.

Intersects

OA boundaries

with

BUAs and

allocates

population

to

BUAs in proportion to area. Then aggregate to grid cells.

Uses

only published ONS data, so no additional disclosure risk.

Reproducible

methodology

but

needs to be tested

.Slide25

A country of countries

Northern Ireland have disclosure concerns about the disclosure risk of publishing on both the Irish National Grid and the GEOSTAT Grid

Both Scottish and Northern Irish Census

microdata

is stored separately and experience shows accessing this data can be a long and slow processSlide26

Sustainable variables

Small Area population estimates do not currently include sex or ageIncreasing use of administrative data could allow this to be included

Change to the SAPE processes would be required

Would depend on the agreed level of publication but could potentially go further than age and sexSlide27

Conclusions

Producing UK level grid outputs is possibleProducing them from Census microdata

is possible but only through Census and the differences between this and the small area population estimates would be

noticable

Differences in the methodologies of the devolved administrations are superficial but improved data sharing is needed to do this on an ongoing basis

Additional variables could be provided on an ongoing basis but only through administrative data that has not yet been integrated into the ONS Statistical Business Process ModelSlide28

Any questions???