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Feature Property
Document name Blocks for Census of Land Use and Employment (CLUE) with business, employment and floor area counts
File size 157.9 KB
Layer name geo_export_95b81e4c-b36d-42f0-b4f3-89d4e90d3c25
Coordinate reference system WGS84
PROJCS None
AUTHORITY None
SPHEROID WGS84
UNIT degree
View raw data 
          GEOGCS["WGS84(DD)",
    DATUM["WGS84",
        SPHEROID["WGS84",6378137,298.257223563]],
    PRIMEM["Greenwich",0],
    UNIT["degree",0.0174532925199433],
    AXIS["Longitude",EAST],
    AXIS["Latitude",NORTH]]
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  • ID
  • Uploaded by
    Aristide Athanassiadis
  • Type
    Polygon
  • Properties
    6
  • Items
    607
  • Assigned to
    Paul Hoekman

Shapefile content

Only the first 100 items are shown. In total, there are 607 items in your shapefile
block_id census_yr clue_area employment estabs floor_sqm
662 2016 East Melbourne 2.0 10076.0
1112 2016 Docklands 32.0 8.0 79538.0
6 2016 Melbourne (CBD) 1045.0 48.0 100343.0
927 2016 Parkville 35.0 2.0 60551.0
926 2016 Parkville 9128.0
925 2016 Parkville 12.0 1.0 16962.0
924 2016 Parkville 13943.0
930 2016 Parkville 2281.0 5.0 196787.0
928 2016 Parkville 379.0 17.0 272775.0
929 2016 Parkville 938.0 9.0 176403.0
415 2016 West Melbourne (Residential) 4.0 2.0 12617.0
412 2016 West Melbourne (Residential) 23.0 4.0 5795.0
411 2016 West Melbourne (Residential) 2516.0
410 2016 West Melbourne (Residential) 2562.0
409 2016 West Melbourne (Residential) 16.0 5.0 19271.0
414 2016 West Melbourne (Residential) 103.0 21.0 25469.0
353 2016 North Melbourne 187.0 17.0 64763.0
301 2016 North Melbourne 10.0 5.0 27584.0
318 2016 North Melbourne 32.0 2.0 22975.0
319 2016 North Melbourne 76.0 2.0 68979.0
302 2016 North Melbourne 53.0 2.0 33105.0
305 2016 North Melbourne 28600.0
303 2016 North Melbourne 22.0 4.0 14678.0
304 2016 North Melbourne 3.0 2.0 18804.0
308 2016 North Melbourne 6566.0
306 2016 North Melbourne 1.0 1.0 27320.0
307 2016 North Melbourne 6216.0
324 2016 North Melbourne 1.0 18548.0
326 2016 North Melbourne 18.0 8.0 27009.0
352 2016 North Melbourne 2.0 35181.0
325 2016 North Melbourne 18760.0
317 2016 North Melbourne 27.0 5.0 17738.0
328 2016 North Melbourne 20.0 1.0 27993.0
327 2016 North Melbourne 19.0 4.0 47415.0
332 2016 North Melbourne 57.0 15.0 10279.0
330 2016 North Melbourne 1.0 20518.0
331 2016 North Melbourne 86.0 13.0 17089.0
343 2016 North Melbourne 127.0 15.0 18887.0
333 2016 North Melbourne 206.0 15.0 14436.0
329 2016 North Melbourne 107.0 4.0 14266.0
334 2016 North Melbourne 61.0 13.0 12984.0
339 2016 North Melbourne 31.0 5.0 14601.0
340 2016 North Melbourne 19.0 7.0 6080.0
335 2016 North Melbourne 201.0 39.0 22115.0
315 2016 North Melbourne 196.0 8.0 47811.0
336 2016 North Melbourne 57.0 9.0 16032.0
337 2016 North Melbourne 134.0 16.0 17654.0
429 2016 West Melbourne (Residential) 92.0 13.0 9695.0
430 2016 West Melbourne (Residential) 131.0 14.0 20450.0
442 2016 West Melbourne (Residential) 202.0 3.0 8721.0
1012 2016 North Melbourne 386.0 25.0 201797.0
408 2016 West Melbourne (Residential) 1.0 1111.0
401 2016 West Melbourne (Residential) 8.0 1.0 11123.0
338 2016 North Melbourne 86.0 7.0 31844.0
344 2016 North Melbourne 70.0 2.0 24295.0
342 2016 North Melbourne 90.0 14.0 13771.0
341 2016 North Melbourne 169.0 11.0 17898.0
402 2016 West Melbourne (Residential) 21.0 4.0 7952.0
413 2016 West Melbourne (Residential) 105.0 9.0 18012.0
403 2016 West Melbourne (Residential) 222.0 10.0 10491.0
407 2016 West Melbourne (Residential) 42.0 1.0 1450.0
404 2016 West Melbourne (Residential) 16.0 3.0 6069.0
406 2016 West Melbourne (Residential) 1.0 15453.0
405 2016 West Melbourne (Residential) 39.0 2.0 17011.0
422 2016 West Melbourne (Residential) 4.0 1.0 2380.0
420 2016 West Melbourne (Residential) 72.0 3.0 25514.0
1009 2016 West Melbourne (Industrial) 617.0 6.0 250107.0
416 2016 West Melbourne (Residential) 1.0 13843.0
418 2016 West Melbourne (Residential) 41.0 3.0 12336.0
419 2016 West Melbourne (Residential) 72.0 12.0 26916.0
428 2016 West Melbourne (Residential) 60.0 7.0 10158.0
427 2016 West Melbourne (Residential) 149.0 18.0 23188.0
655 2016 East Melbourne 441.0 10.0 115930.0
5 2016 Melbourne (CBD) 15.0 10.0 917.0
932 2016 Parkville 5448.0 38.0 228459.0
728 2016 Southbank 3.0 6762.0
660 2016 Melbourne (Remainder) 1406.0 19.0 217833.0
659 2016 Melbourne (Remainder) 3730.0 13.0 314522.0
101 2016 West Melbourne (Residential) 133.0 10.0 93760.0
654 2016 Melbourne (Remainder) 1.0 9144.0
656 2016 East Melbourne 886.0 42.0 98175.0
759 2016 Melbourne (Remainder) 1322.0 35.0 103652.0
871 2016 Melbourne (Remainder) 559.0 5.0 106552.0
760 2016 Melbourne (Remainder) 3228.0 154.0 206531.0
864 2016 South Yarra 17.0 3.0 28243.0
811 2016 Southbank 39.0 4.0 149614.0
863 2016 Melbourne (Remainder) 238.0 1.0 75442.0
710 2016 Melbourne (Remainder) 226.0 17.0 29647.0
720 2016 Melbourne (Remainder) 1808.0 74.0 97204.0
865 2016 South Yarra 1.0 21805.0
866 2016 South Yarra 42.0 10.0 414971.0
860 2016 South Yarra 1.0 96510.0
861 2016 South Yarra 151.0 16.0 84018.0
862 2016 South Yarra 91.0 7.0 73052.0
750 2016 Southbank 26.0 5.0 74330.0
751 2016 Southbank 197.0 3.0 40668.0
742 2016 Southbank 3.0 5.0 79573.0
738 2016 Southbank 907.0 5.0 82717.0
739 2016 Southbank 407.0 6.0 39341.0
746 2016 Southbank 1724.0 60.0 48289.0

History and comments

MoC Bot MoC Bot
4 years, 3 months ago

This task was created by the system

Paul Hoekman Paul Hoekman Johannesburg 2140 points
4 years, 1 month ago

Task was assigned to Paul Hoekman and status was changed: Open → In Progress

Paul Hoekman Paul Hoekman Johannesburg 2140 points
4 years, 1 month ago

Status change: In Progress → Completed

Paul Hoekman Paul Hoekman Johannesburg 2140 points
4 years, 1 month ago

Task was assigned to Paul Hoekman and status was changed: Completed → In Progress

Paul Hoekman Paul Hoekman Johannesburg 2140 points
4 years, 1 month ago

Status change: In Progress → Completed