20240227
10122800
1.0
FALSE
ACORN__Datazone_
0.000
5512.998500
470323.000100
530253.778200
1220301.502000
1
002
Projected
GCS_OSGB_1936
Linear Unit: Meter (1.000000)
British_National_Grid
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20260903
15060300
20260903
15060300
150000000
5000
INSPIRE
f6656adf-b720-4612-ad5c-1d13eae94c8b
dataset
GIS Analyst
Scottish Government
Geospatial Team
Victoria Quay
Edinburgh
EH6 6QQ
GB
GIS@gov.scot
https://www.gov.scot/
WWW:LINK-1.0-http--link
20260903
ArcGIS Metadata
1.0
WMS
1.3.0
WFS
2.0.0
ESRI REST
1.0
ESRI Shapefile
1.0
https://maps.gov.scot/server/services/ScotGov/StatisticalUnits/MapServer/WMSServer?
OGC:WMS
DataZoneBdry2011
OGC View Service
https://maps.gov.scot/server/services/ScotGov/StatisticalUnits/MapServer/WFSServer?
OGC:WFS
SU:DataZoneBdry2011
OGC Feature Download Service
https://maps.gov.scot/server/rest/services/ScotGov/StatisticalUnits/MapServer/10
Data Zone Boundaries 2022
ESRI REST Service
https://maps.gov.scot/ATOM/shapefiles/SG_DataZoneBdry_2022.zip
Data Zone Boundaries 2022
ESRI Shapefile Download
0.000
Data Zone Boundaries 2022
2024-12-16T00:00:00
SG_DataZone_2022_Bdry
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data Zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public sector. Composed of groups of Census Output Areas, Data Zones are large enough that statistics can be presented accurately without fear of disclosure and yet small enough that they can be used to represent communities. They are designed to have roughly standard populations of 500 to 1,000 household residents, nest within local authorities (at the time of the Census), and have compact shapes that respect physical boundaries where possible. When Data Zones were originally created for the 2001 Census, they were designed to contain households with similar social characteristics. Aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available. Data Zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to Data Zones using 2022 Census data, there are now 7,392 Data Zones covering the whole of Scotland.</SPAN></P></DIV></DIV></DIV>
Statistician
Scottish Government
Office of the Chief Statistician
Victoria Quay
Edinburgh
EH6 6QQ
GB
statistics.enquiries@gov.scot
https://www.gov.scot/
WWW:LINK-1.0-http--link
GIS Analyst
Scottish Government
Geospatial Team
Victoria Quay
Edinburgh
EH6 6QQ
GB
GIS@gov.scot
https://www.gov.scot/
WWW:LINK-1.0-http--link
GEMET - INSPIRE themes, version 1.0
2008-06-01T00:00:00
http://www.eionet.europa.eu/gemet/inspire_themes
GEMET - INSPIRE themes, version 1.0
Statistical units
GEMET - Concepts, version 4.2.3
https://www.eionet.europa.eu/gemet/en/themes/
2021-12-06T00:00:00
population distribution, statistical data
IPSV Subjects List
2020-11-18T00:00:00
Statistical analysis
population distribution
statistical data
statistical units
statistical analysis
Other Constraints
10000
-8.80
-0.71
54.63
60.87
Esri ArcGIS 13.7.0.1901
1
-9.229868
-0.705303
60.866111
54.513381
Scottish Government 2024
Data Zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public sector.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Available under the terms of the </SPAN><A href="https://www.nationalarchives.gov.uk/doc/open-government-licence" STYLE="text-decoration:underline;"><SPAN>Open Government Licence</SPAN></A><SPAN>. The following attribution statement must be used to acknowledge the source of the information: Copyright Scottish Government, contains Ordnance Survey data © Crown copyright and database right (insert year).</SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Dataset is complete for Scotland. Care should be taken when using this dataset with lookups to other postcode based geographies. Some postcode unit boundaries have changed since data zones were created therefore exact match of the boundaries are unlikely.</SPAN></P></DIV></DIV></DIV>
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
http://data.europa.eu/eli/reg/2010/1089
2010-12-08
false
See the reference specification
The Data Zone geography was first created in 2004 for use within the Scottish Neighbourhood Statistics (SNS) programme (now known as statistics.gov.scot) to allow statistics across a number of policy areas to be readily (and regularly) available for a consistent and stable geography. This original dataset (built from 2001 Census Output Areas) was created by St. Andrews University in 2004 on behalf of the Scottish Government. Data Zone boundaries are managed by the Scottish Government's Geographic Information Science and Analysis Team (GI-SAT), who carry out any required updates at the request of the Office of the Chief Statistician (OCS).
The method which was used to update 2001 Data Zone boundaries following the 2011 Census has been replicated for this Census 2022 update. The aim for this update was to apply Census 2022 data, re-align to local authority boundaries (as at Census Day 2022), and account for changes in population, while keeping boundaries relatively comparable to those created for 2011. The criteria used in the definition of 2022 Data Zones followed the same as 2011, and were:
• That they be built up from 2022 Census Output Areas;
• Maintain approximately equal resident populations of 500 to 1,000 people, with an absolute minimum of 375 people and a maximum population of 1,125;
• Be a continuous area without multiple extents (based on the Extent of the Realm coastline), unless caused by water (e.g. Data Zones including islands);
• Where appropriate, changes from 2011 occur within Intermediate Zone boundaries;
• Maintain a compactness of shape.
Initially, a first draft of boundaries was created by aggregating 2022 Census Output Areas to 2011 Data Zones, based on the location of the Output Area Population Weighted Centroids. The population (defined as household residents) was summed for each 'best-fit' Data Zone to assess whether it fell within the required population thresholds. Data Zones which had seen a decrease in population (e.g. as the result of housing demolition) and fell below the minimum population of 375 were merged with the neighbouring Data Zone with the longest shared boundary within the same Intermediate Zone. Conversely, Data Zones which had seen an increase in population to values greater than 1,125 (e.g. as the result of a new housing development) were split into one or more new Data Zones.
After the split and merge process was complete, additional changes were applied to reconfigure any multi-extent Data Zones which were not caused by water. This occurred where Census Output Areas had changed significantly from 2011 and resulted in some best-fit 2022 Data Zones being composed of two parts that do not touch. In most instances, the smaller non-contiguous part of the Data Zone (usually consisting of a single Output Area) was absorbed into a neighbouring Data Zone. Note that there may be Data Zones which are multi-extent when clipped to Mean High Water, which are not caused by islands. In addition, feedback which had been received from some local authorities on changes to make to Data Zone boundaries was considered and applied where possible when designing the proposed 2022 Data Zones.
Once the proposed set of 2022 Data Zones was complete, they were put out to public consultation. Local authorities, who have expert knowledge of their communities and therefore could assess if proposed Data Zones grouped areas with similar social characteristics, were encouraged to respond. Respondents were invited to propose changes to Data Zones by re-assigning Output Areas, as long as they complied with the criteria set above for the definition of 2022 Data Zones. Consultation responses resulted in a number of revisions being made to the proposed set. The number of changes made varied by local authority, with some accepting the proposals from the consultation, and others requesting multiple reconfigurations of Data Zones.
The finalised set of boundaries consists of 7,392 Data Zones. Each 2022 Data Zone has been given a new unique code, following the Scottish Government’s standard naming and coding convention. The new S-codes for Data Zones were applied in batches per local authority, which were ordered alphabetically by name, and in batches per Intermediate Zone. The Data Zone 2022 codes range from S01013482 to S01020873 (the previous 2011 codes ranged from S01006506 to S01013481). Most Data Zones have been named according to the Intermediate Zone in which they reside, following the format ‘Intermediate Zone Name – 01’, ‘Intermediate Zone Name – 02’, etc. A small number of local authorities chose to provide names for each individual Data Zone.
Census 2022 total population, household resident population, and household counts have been supplied by NRS for each Data Zone and are included in the attribute table. All census data outputs have privacy protection applied (known as cell key perturbation) to keep the data of individuals safe. In the case of 'nested' geography hierarchies, the impact of these Statistical Disclosure Controls (SDC) means the sum of the population within Output Areas does not always match the corresponding Data Zones population totals. Similarly, the sum of the population within Data Zones might not match the corresponding Intermediate Zones population totals. The same applies when summing totals at a local authority level, i.e. the sum of the populations of all Output Areas, Data Zones, and Intermediate Zones within a local authority may not match the published local authority total.
Standard area measurements in hectares and square kilometres have also been calculated from Census Output Area totals. The attribute represents the Land Area definition, i.e. the area to Mean High Water excluding the area of inland water bodies which are over 1 square kilometre surface area. This attribute has been included to ensure that total areas remain consistent when comparing geographies. The Land Area is the recommended parameter to use for calculating density statistics. Further details on Standard Area Measurements are available from the Office for National Statistics (ONS: see https://www.ons.gov.uk/methodology/geography/geographicalproducts/otherproducts/ukstandardareameasurementssam. Note that the standard area measurements will differ from the automated Shape_Area attributes. This will be due to the different coastlines/inland water, and also can be due to the Output Areas policy to remove non-contiguous parts, which was applied after the standard areas were calculated. For more information on the non-contiguous Output Areas policy, see https://www.nrscotland.gov.uk/publications/geography-census-2022-how-the-census-geographies-were-created-information-note/.
Note that the Data Zones nest exactly into local authorities as they were at the time of the 2022 Census. However, the Data Zone boundaries will not be updated to reflect any changes made to local authority boundaries in-between Censuses.
0
http://www.opengis.net/def/crs/EPSG/0/4258
6.3(3.0.1)
http://www.opengis.net/def/crs/EPSG/0/27700
6.3(3.0.1)
ACORN__Datazone_
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
SHAPE
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
DZCode
dzcode
String
254
0
0
DZName
dzname
String
254
0
0
TotPop2022
totpop2022
Double
8
38
8
Area_ID
Area_ID
String
254
0
0
Area_Name
Area_Name
String
254
0
0
District_N
District_N
String
254
0
0
Households
Households
Integer
4
10
0
Type_01
Acorn Type 01 - High-flyers in luxury apartments and townhouses
Integer
4
10
0
Type_02
Acorn Type 02 - Wealthy, gentrified areas
Integer
4
10
0
Type_03
Acorn Type 03 - Asset-rich, out-of-town older families
Integer
4
10
0
Type_04
Acorn Type 04 - High-end professionals in city flats
Integer
4
10
0
Type_05
Acorn Type 05 - Successful young families in smart urban areas
Integer
4
10
0
Type_06
Acorn Type 06 - Executives in expensive suburban houses
Integer
4
10
0
Type_07
Acorn Type 07 - Prosperous families in green-belt areas with substantial homes
Integer
4
10
0
Type_08
Acorn Type 08 - Affluent, older homeowners
Integer
4
10
0
Type_09
Acorn Type 09 - Families and couples in comfortable homes
Integer
4
10
0
Type_10
Acorn Type 10 - Well-off families in larger semis
Integer
4
10
0
Type_11
Acorn Type 11 - Mature and moneyed out-of-towners
Integer
4
10
0
Type_12
Acorn Type 12 - Well-to-do empty nesters in detached houses
Integer
4
10
0
Type_13
Acorn Type 13 - Families in leafy suburbs
Integer
4
10
0
Type_14
Acorn Type 14 - Upmarket young families in terraces
Integer
4
10
0
Type_15
Acorn Type 15 - Educated professionals renting flats
Integer
4
10
0
Type_16
Acorn Type 16 - Families and couples in detached houses
Integer
4
10
0
Type_17
Acorn Type 17 - Older, rural empty nesters and couples
Integer
4
10
0
Type_18
Acorn Type 18 - Countryside retirees in spacious houses
Integer
4
10
0
Type_19
Acorn Type 19 - Sophisticated couples living comfortably in detached homes
Integer
4
10
0
Type_20
Acorn Type 20 - Mixed lifestages in semi-detached homes
Integer
4
10
0
Type_21
Acorn Type 21 - Mid-life suburban living
Integer
4
10
0
Type_22
Acorn Type 22 - Younger families and sharers in city terraces
Integer
4
10
0
Type_23
Acorn Type 23 - Culturally diverse suburban families
Integer
4
10
0
Type_24
Acorn Type 24 - Young professionals renting city flats
Integer
4
10
0
Type_25
Acorn Type 25 - Privately renting students and house sharers
Integer
4
10
0
Type_26
Acorn Type 26 - Younger couples and singles in flats
Integer
4
10
0
Type_27
Acorn Type 27 - Professional families and couples in suburban, owner-occupied areas
Integer
4
10
0
Type_28
Acorn Type 28 - Families and couples in terraces
Integer
4
10
0
Type_29
Acorn Type 29 - Senior home-owning couples
Integer
4
10
0
Type_30
Acorn Type 30 - Empty nesters in owner-occupied detached homes
Integer
4
10
0
Type_31
Acorn Type 31 - Comfortable, home-owning families and empty nesters
Integer
4
10
0
Type_32
Acorn Type 32 - Older comfortable families and couples in detached, rural properties
Integer
4
10
0
Type_33
Acorn Type 33 - Retirees in semi-detached and detached properties
Integer
4
10
0
Type_34
Acorn Type 34 - Older owner-occupier households in semis
Integer
4
10
0
Type_35
Acorn Type 35 - Settled communities, semi-detached properties
Integer
4
10
0
Type_36
Acorn Type 36 - Cost-conscious families in terraces
Integer
4
10
0
Type_37
Acorn Type 37 - Restricted residents, socially renting
Integer
4
10
0
Type_38
Acorn Type 38 - Younger families, multi-occupancy and rented households
Integer
4
10
0
Type_39
Acorn Type 39 - Diverse communities in smaller semis and terraces
Integer
4
10
0
Type_40
Acorn Type 40 - Young families, limited means in terraced metropolitan areas
Integer
4
10
0
Type_41
Acorn Type 41 - Living on modest means in terraces
Integer
4
10
0
Type_42
Acorn Type 42 - Retired homeowners in semi-detached and detached houses
Integer
4
10
0
Type_43
Acorn Type 43 - Older couples living in detached houses, rural communities
Integer
4
10
0
Type_44
Acorn Type 44 - Urban, aspiring flat dwellers
Integer
4
10
0
Type_45
Acorn Type 45 - Privately renting squeezed professionals in flats
Integer
4
10
0
Type_46
Acorn Type 46 - Sharers and students in private rentals
Integer
4
10
0
Type_47
Acorn Type 47 - Singles and couples in rented flats
Integer
4
10
0
Type_48
Acorn Type 48 - Routine occupations, socially renting families in semis
Integer
4
10
0
Type_49
Acorn Type 49 - Socially renting single adult households
Integer
4
10
0
Type_50
Acorn Type 50 - Single-parent families in terraced housing
Integer
4
10
0
Type_51
Acorn Type 51 - Older, single-person households on the outskirts of town
Integer
4
10
0
Type_52
Acorn Type 52 - Socially renting families in terraces
Integer
4
10
0
Type_53
Acorn Type 53 - Diverse families and sharers in flats
Integer
4
10
0
Type_54
Acorn Type 54 - Young families in socially rented semis
Integer
4
10
0
Type_55
Acorn Type 55 - Families in low-value terraced housing
Integer
4
10
0
Type_56
Acorn Type 56 - Diverse young families in rented terraces and flats
Integer
4
10
0
Type_57
Acorn Type 57 - Older renters in flats and tenements
Integer
4
10
0
Type_58
Acorn Type 58 - Poorer pensioners in semis
Integer
4
10
0
Type_59
Acorn Type 59 - Students and sharers in multi-occupancy flats
Integer
4
10
0
Type_60
Acorn Type 60 - Socially renting single adult households in flats
Integer
4
10
0
Type_61
Acorn Type 61 - Socially rented flats, singles and pensioners
Integer
4
10
0
Type_62
Acorn Type 62 - Students in halls of residence
Integer
4
10
0
Type_63
Acorn Type 63 - Active communal populations
Integer
4
10
0
Type_64
Acorn Type 64 - Inactive communal populations
Integer
4
10
0
VUL_HH
Vulnerable Households
Integer
4
10
0
VUL_PRCT
Vulnerable Percentage
Double
8
38
8
Type_65
Acorn Type 65 - Non-residential postcodes
Integer
4
10
0
SHAPE.AREA
SHAPE.AREA
Double
0
0
0
SHAPE.LEN
SHAPE.LEN
Double
0
0
0
Simple
FALSE
0
TRUE
FALSE