MCU14/0106 & OPW15/0001 Compiled Information Request Response

2             Office Demand
Issue – Office Demand

         “The Commercial Needs Assessment estimates ‘White Collar’ employment represents
         approximately 17% of total employment within the Sunshine Coast and Noosa region, while
         ‘White Collar Core’ employment is estimated at 13.7% of total employment within the
         region. Peer review calculations suggest a higher incidence of white collar employment
         (~20%).”

Information Required:

Provide a detailed analysis, including source data, of the calculation of the incidence of ‘White Collar’ and
‘White Collar-Core’ employment within the Sunshine Coast and Noosa Region.

Response:


2.1           EMPLOYMENT TYPE CLASSIFICATIONS
In order to respond to this issue, Urbis has undertaken a review of the white collar employment
designations that were used as part of the Commercial Needs Assessment. This data set has been
sourced from the Australian Bureau of Statistics 2011 Census Place of Work release and is broken down
into 4 Digit Australian and New Zealand Standard Industrial Classifications (ANZSIC) which represent the
finest level of industry categorisation available. For the purposes of this assessment, the data set does
not include survey responses such as not stated, not applicable or inadequately described categories.

The industries are listed in Table A1 in Appendix A, while a summary table stating the type of
employment within the Statistical Areas that made up the Sunshine Coast Regional Council in 2011 are
outlined below.


Employment Type Summary Table, 2011
WHITE COLLAR CORE, WHITE COLLAR AND NON-WHITE COLLAR                                                                                                TABLE 1
                                             White Collar Core                White Collar Non-Core                   Non-White Collar             Total
Statistical Area 3                           No.           %                    No.           %                       No.         %                Jobs

Buderim                                      1,471             10.1%               362              2.5%             12,733            87.4%      14,566
Caloundra                                    3,450             15.8%               801              3.7%             17,527            80.5%      21,778
Maroochy                                     4,133             17.7%             1,239              5.3%             17,987            77.0%      23,359
Sunshine Coast Hinterland                     958               8.6%               230              2.1%              9,931            89.3%      11,119
Nambour - Pomona                             2,549             12.3%               390              1.9%             17,782            85.8%      20,721
Noosa                                        1,761             12.7%               641              4.6%             11,420            82.6%      13,822
Sunshine Coast Total                        14,322             13.6%             3,663              3.5%             87,380             82.9%     105,365
So urce: A ustralian B ureau o f Statistics, 2011Census o f P o pulatio n and Ho using, P lace o f Wo rk Data by M ain A SGS Geo graphy ; Urbis




2.2           OFFICE DEMAND ASSESSMENT – 20% WHITE COLLAR SCENARIO
The Information Request states:

         “Peer review calculations suggest a higher incidence of white collar employment (~20%)”.

To demonstrate the difference in the level of demand using the white collar employment proportion of
20%, compared to 13.7% in the initial Commercial Needs Report, Urbis has run a scenario utilising the
higher figure.

For the purposes of this demand analysis, the new assessment assumes that the proportion of white
collar employment increases to 20% in 2013 and is kept constant going forward. The new scenario has




URBIS
NOOSA CIVIC - OFFICE REPORT - 6 MAY 2015.DOCX                                                                                                     OFFICE DEMAND   3