20190823
09584900
1.0
FALSE
Socio
002
713482.528000
727945.369000
718093.664000
730849.150000
1
Projected
GCS_IRENET95
Linear Unit: Meter (1.000000)
IRENET95_Irish_Transverse_Mercator
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.3.0'><WKT>PROJCS["IRENET95_Irish_Transverse_Mercator",GEOGCS["GCS_IRENET95",DATUM["D_IRENET95",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",600000.0],PARAMETER["False_Northing",750000.0],PARAMETER["Central_Meridian",-8.0],PARAMETER["Scale_Factor",0.99982],PARAMETER["Latitude_Of_Origin",53.5],UNIT["Meter",1.0],AUTHORITY["EPSG",2157]]</WKT><XOrigin>-5022200</XOrigin><YOrigin>-15179500</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2157</WKID><LatestWKID>2157</LatestWKID></ProjectedCoordinateSystem>
20191218
16560200
20191218
16560200
150000000
500000
Esri ArcGIS 12.3.0.15769
Socio
1
-6.301414
-6.079936
53.315737
53.197872
Small Area Boundaries for the DLR area with Social Class and Socio-Economic Group data from the 2016 Census. Data is specifically related to the persons in...
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Small Area boundary data (ungeneralised) produced by Ordnance Survey Ireland (OSi). The layer represents Census 2016 Theme 9.</SPAN><SPAN>2</SPAN><SPAN> and provides a population breakdown by </SPAN><SPAN>persons in private households by socio-economic group of reference person</SPAN><SPAN>. Attributes specific to the feature include: </SPAN><SPAN>employers and managers</SPAN><SPAN>, </SPAN><SPAN>higher professional, lower professional</SPAN><SPAN>, non-manual, manual</SPAN><SPAN> skilled</SPAN><SPAN>, semi</SPAN><SPAN>-</SPAN><SPAN>skilled, unskilled</SPAN><SPAN>, own account workers, farmers,</SPAN><SPAN> agricultural workers</SPAN><SPAN> and all others gainfully occupied and unknown. </SPAN><SPAN>T</SPAN><SPAN>otals are supplied for both </SPAN><SPAN>number of households and number of persons</SPAN><SPAN>. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing, welfare, employment </SPAN><SPAN>along with </SPAN><SPAN>education</SPAN><SPAN> and training</SPAN><SPAN>. The data were sourced from the CSO.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
CSO & OSI
census
cso
small area
private households
employers
managers
professional
higher
lower
non-manual
manual
skilled
semi-skilled
unskilled
own account workers
farmers
agricultural workers
gainfully occupied
2016
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>CSO data are copyright of The Government of Ireland. The data is licensed under Creative Commons Attribution. Reproduction is authorised subject to acknowledgement of the source.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
File Geodatabase Feature Class
dataset
EPSG
6.5.1(8.1.2)
0
Simple
FALSE
0
TRUE
FALSE
Socio
Feature Class
0
OBJECTID
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
SmallAreaBoundaries2016DLR_GUID
GUID
String
80
0
0
SmallAreaBoundaries2016DLR_EDNAME
EDNAME
String
80
0
0
SmallAreaBoundaries2016DLR_GEOGID
GEOGID
String
80
0
0
Theme9_2__NoHSEGA
No. of private households where reference person is an employer or manager
Integer
4
0
0
Theme9_2__NoHSEGB
No. of private households where reference person is a higher professional
Integer
4
0
0
Theme9_2__NoHSEGC
No. of private households where reference person is a lower professional
Integer
4
0
0
Theme9_2__NoHSEGD
No. of private households where reference person is a non-manual worker
Integer
4
0
0
Theme9_2__NoHSEGE
No. of private households where reference person is manually skilled
Integer
4
0
0
Theme9_2__NoHSEGF
No. of private households where reference person is semi-skilled
Integer
4
0
0
Theme9_2__NoHSEGG
No. of private households where reference person is unskilled
Integer
4
0
0
Theme9_2__NoHSEGH
No. of private households where reference person is anown account worker
Integer
4
0
0
Theme9_2__NoHSEGI
No. of private households where reference person is a farmer
Integer
4
0
0
Theme9_2__NoHSEGJ
No. of private households where reference person is anagricultural worker
Integer
4
0
0
Theme9_2__NoHSEGZ
No. of private households where reference person is gainfully occupied and unknown
Integer
4
0
0
Theme9_2__NoHTotal
Total No. of households in private households by socio-economic group of reference person
Integer
4
0
0
Theme9_2__NPerSEGA
No. of persons in private households where reference person is an employer or manager
Integer
4
0
0
Theme9_2__NPerB
No. of persons in private households where reference person is a higher professional
Integer
4
0
0
Theme9_2__NPerSEGC
No. of persons in private households where reference person is a lower professional
Integer
4
0
0
Theme9_2__NPerSEGD
No. of persons in private households where reference person is non-manual worker
Integer
4
0
0
Theme9_2__NPerSEGE
No. of persons in private households where reference person is manually skilled
Integer
4
0
0
Theme9_2__NPerSEGF
No. of persons in private households where reference person is semi-skilled
Integer
4
0
0
Theme9_2__NPerSEGG
No. of persons in private households where reference person is unskilled
Integer
4
0
0
Theme9_2__NPerSEGH
No. of persons in private households where reference person is an own account worker
Integer
4
0
0
Theme9_2__NPerSEGI
No. of persons in private households where reference person is a farmer
Integer
4
0
0
Theme9_2__NPerSEGJ
No. of persons in private households where reference person is an agricultural worker
Integer
4
0
0
Theme9_2__NPerSEGZ
No. of persons in private households where reference person is againfully occupied and unknow
Integer
4
0
0
Theme9_2__NPerTotal
Total No. of persons in private households by socio-economic group of reference person
Integer
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20191218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