Small Area Population Statistics are Census 2016 statistics produced for a range of geographical levels from state to small areas. A brief description for each of the levels for which information is published can be found here Census 2016 Boundary files description. There are two ways to access SAPS information - through our Interactive Mapping Tool (SAPMAP) or by downloading tables and shapefiles.
The mapping tool facilitates access to SAPS through an interactive map search tool called SAPMAP. This allows users to navigate to their location of interest by using the address search facility or by pinpointing a location on the map. Users can then select their chosen geographic boundary and access all of the 2016 census tables that have been produced for that area. There are options to download the tables in pdf or excel format. A guide for using SAPMAP can be found here Census 2016 User Guide (PDF 4,851KB) .
There are 45 Small Area Population Statistics (SAPS) tables organised in the following themes.
SAPS tables are available to download for any of the geography levels below. Boundary files, ungeneralised and generalised (20m, 50m, 100m options) are available in the table below. A glossary of table variables is available here SAPS 2016 Glossary (XLS 38KB)
|CSV Download||Ungeneralised Boundaries(UG)||Generalised 20M||Generalised 50M||Generalised 100M|
|Constituencies 2013 (40)||Constituencies UG||Constituencies 20M||Constituencies 50M||Constituencies 100M|
|Counties (31)||Not available||Not available||Not available||Not available|
|Electoral Divisions (3,409)||Electoral Divisions UG||Electoral Divisions 20M||Electoral Divisions 50M||Electoral Divisions 100M|
|Gaeltachts (7)||Gaeltachts UG||Gaeltachts 20M||Gaeltachts 50M||Gaeltachts 100M|
|Limistéir Pleanála Teanga (26)||Limistéir Pleanála Teanga UG||Limistéir Pleanála Teanga 20M||Limistéir Pleanála Teanga 50M||Limistéir Pleanála Teanga 100M|
|Local Electoral Areas (137)||Local Electoral Areas UG||Local Electoral Areas 20M||Local Electoral Areas 50M||Local Electoral Areas 100M|
|Municipal Districts (95)||Not Available||Municipal Districts 20M||Municipal Districts 50M||Municipal Districts 100M|
|Provinces (4)||Provinces UG||Provinces 20M||Provinces 50M||Provinces 100M|
|NUTS3 Regions (8)||NUTS3 Regions||NUTS3 Regions 20M||NUTS3 Regions 50M||NUTS3 Regions 100M|
|Settlements (846)||Settlements UG||Settlements 20M||Settlements 50M||Settlements 100M|
|Small Areas (18,641) -||Small Areas UG||Small Areas 20M||Small Areas 50M||Small Areas 100M|
|Former Legal Towns & Cities (85)||Not Available||Not Available||Not Available||Not Available|
|Townlands (50,117)||Townlands UG||Townlands 20M||Townlands 50M||Townlands 100m|
A complete set of SAPS for all of the above Geography levels is also available to download here Complete set of Census 2016 SAPS (ZIP 16,498KB) .
For details of Census 2016 population for 50,117 Townlands click here Townlands (XLS 5,282KB) . A value of -1 indicates that the value has been suppressed. This occurred in the following cases:
101 Townlands in Limerick City and County and Waterford City and County have no 2011 equivalent.
For the dissemination of Census 2016 Small Area Statistics, the Dublin Parish boundaries have been approximated to the nearest whole Small Areas. The Dublin Parish boundary shapefile is available here Dublin Parishes 2016 (ZIP 1,151KB) . Full SAPs for Dublin Parishes are available here Dublin Parishes (CSV).
Following discussion with Ordnance Survey Ireland it was felt that a number of changes were needed in certain small areas to accommodate the publication of Census 2016 data. The changes consist of the following:
Census 2016 identified 183,312 vacant dwellings. This dataset provides the following details for these dwellings:
82,437 of the 183,312 vacant dwellings were occupied during Census 2011. This dataset also includes the following Census 2011 data for these dwellings:
The data is presented for the 2017 version of the Small Areas (18,641 areas). Statistical disclosure control has been applied to some areas, resulting in total figures being present for these areas but no further information provided in the breakdown.
A glossary file is also available and provides a description of what each variable name in the dataset represents.