TIM people

Appendix - detailed tables

Below is the analytical data for the company workforce, broken down according to the indications given in standard GRI G4. The Group figure includes not only the Domestic and Brazil, but also other companies, for a total of 100 units. In accordance with the principle of relevance, no specific column has been added for these entities.

Furthermore, none of the tables below include the Media BU, as it became part of the Domestic BU as of 1 January 2016.

[G4-10a]

 

Employees by contract type and gender

2016
Permanent contract
2015
Permanent contract
2014
Permanent contract
ManWomanManWomanManWoman
Group39,30621,76741,66024,08441,75324,166
Domestic34,37916,74635,52117,00135,79317,180
Brazil4,8604,9896,0067,0365,8846,957
       
2016
Fixed-term contract
2015
Fixed-term contract
2014
Fixed-term contract
ManWomanManWomanManWoman
Group876565555542
Domestic866565555540
Brazil000000
                                                                                        

[G4-10b] Employees on permanent and fixed-term contracts, by job type and gender

 

Employees on permanent contracts

201620152014
Full TimePart TimeFull TimePart TimeFull TimePart Time
 ManWomanManWomanManWomanManWomanManWomanManWoman
Group37,77614,1871,5307,58039,59915,0112,0619,07339,74215,0392,0119,127
Domestic33,38910,7549905,99234,52311,0059985,99634,78311,1071,0106,073
Brazil4,3203,4035401,5864,9443,9621,0623,0744,8843,9051,0003,052
     

 

Employees on fixed-term contracts

201620152014
Full TimePart TimeFull TimePart TimeFull TimePart Time
 ManWomanManWomanManWomanManWomanManWomanManWoman
Group5382628105745884734
Domestic4382628105745864734
Brazil000000000000
                               

[G4-10c] Employees on the payroll and agency contract workers, by gender

Employees on payroll

201620152014
ManWomanManWomanManWoman
Group39,39321,83241,72524,13941,80824,208
Domestic34,46516,81135,58617,05635,84817,220
Brazil4,8604,9896,0067,0365,8846,957

Agency contract workers

201620152014
ManWomanManWomanManWoman
Group041236
Domestic041135
Brazil000000
     

[G4-10d]

 

Employees by geographic area and gender

201620152014
ItalyAbroadTotalItalyAbroadTotalItalyAbroadTotal
Men34,3385,05539,39335,5166,20941,72535,7066,10241,808
Women16,8745,04821,83217,0387,10124,13917,1727,03624,208
Total51,12210,10361,22552,55413,31065,86452,87813,13866,016
  

[G4-10e]

Employees of suppliers working at the Group offices and whose activities are part of the core business of TIM1

201620152014
External FTE on site9431,801985

1 The only core business operations that require a significant working contribution from the employees of suppliers at the company offices relate to the development of IT platforms. The data in the table refers exclusively to these cases.

[G4-LA1a]

New employees by age and geographic area

201620152014
<30>=30;<=50>50<30>=30;<=50<30<30>=30;<=50<30
Group1,518736632,8501,346753,9171,779114
Domestic214144381371704324125882
Brazil1,303592252,7121,174323,6751,51130

[G4-LA1a]

New employees by gender and geographic area

 2016 2015 2014 
 ManWomanManWomanManWoman
Group1,0811,2361,9402,3312,7813,029
Domestic242154225125384197
Brazil8381,0821,7152,2032,3872,829

[G4-LA1b]

Turnover by gender and geographic area

201620152014
ManWomanManWomanManWoman
Group3,4363,5392,0292,4112,3503,058
Domestic1,424407431279583306
Brazil1,9853,1281,5932,1241,7632,752

[G4-LA1b]

Turnover by age and geographic area

 2016  2015  2014  
 <30>=30; <=50>50<30>=30; <=50>50<30>=30; <=50>50
Group3,1382,2681,5692,3971,7053383,2831,682443
Domestic1382831,410162264284129355405
Brazil3,0001,9791342,2351,435473,1511,32638

[G4-LA3b]

Employees who benefited from parental leave, by gender

 2016 2015 2014 
 ManWomanManWomanManWoman
Group2011,3701721,3011911,796
Domestic6899961756811,244
Brazil132369111543110549

[G4-LA3c]

Employees who returned after having benefited from parental leave, by gender (1)

201620152014
ManWomanManWomanManWoman
Group**1971,3311891,785
Domestic**67988801,239
Brazil**129342109546

* The data will be available from end 2017

1 Please note that in the table, the year of return of employee x has not been calculated according to the year in which x effectively returned, but according to the year in which x took leave. Therefore, if x took leave in 2015 and returned in
2016, his return is in any case reported in the 2016 column. This is why the data for the 2016 column is still partial and not yet able to be published.

[G4-LA3d]

Employees at work after a year from the end of parental leave, by gender (1)

 201620152014
 ManWomanManWomanManWoman
Group**1381,2511601,629
Domestic**35945761,216
Brazil**10330584413

* The data will be available from end 2017

1 Please note that in the table, the year of continued work of employee x has not been calculated according to the year in which x was at work after 12 months of leave, but according to the year in which x took leave. Therefore, if x took leave in 2015 and after 12 months was still at work in 2016, his continuation at work is in any case reported in the 2015 column. As we do no yet know which, of the employees who went on leave in 2016 will still be at work after 12 months, we are unable to calculate the figure for 2016.

[G4-LA3e]

(return to work rate) Percentage of employees returned to work after parental leave out of total employees benefiting from leave (LAc/LAb)

 201620152014
 ManWomanManWomanManWoman
Group * *99%99%99%99%
Domestic * *99%99%99%100%
Brazil * *99%99%99%98%

* The data will be available from end 2017

[G4-LA3e]

(retention rate) Percentage of employees at work after 12 months from the end of parental leave out of total employees benefiting from leave (LAd/LAb)

 201620152014
 ManWomanManWomanManWoman
Group * *99%99%84%91%
Domestic * *99%99%94%98%
Brazil * *99%99%76%75%

* The data will be available from end 2017

[G4-LA6a] Injury rate out of total workforce* (number of injuries over hours worked)

Injury rate out of total workforce* (number of injuries over hours worked)

 201620152014
 ManWomanManWomanManWoman
Group7.663.657.583.538.123.63
Domestic9.054.808.704.159.574.80
Brazil0.411.160.962.310.881.40

*Temporary workers are not considered in this type of record. Their incidence on a Group level is in any case very small (4 people as at 31.12.2016)

[G4-LA6a]

Days lost over workforce* (days of injury over working hours)

 20162015 2014
 ManWomanManWomanManWoman
Group0.200.100.180.120.290.7
Domestic0.240.150.210.160.350.10
Brazil0.000.010.010.030.010.01

*Temporary workers are not considered in this type of record. Their incidence on a Group level is in any case very small (4 people as at 31.12.2016)

[G4-LA6a]

Absenteeism rate out of total workforce* (total hours of absenteeism over working hours)

 2016 2015 2014 
ManWomanManWomanManWoman
Group6.0911.915.529.946.3910.28
Domestic6.5812.695.9811.507.1411.74
Brazil4.0410.642.696.742.347.27

*The absenteeism rate is calculated taking into consideration the additional items with respect to those of the GRI G4-LA6 indicator. In 2016 the absenteeism rate calculation method used in Brazil was adapted to that used in the other Companies of the Group.

[G4-LA6a]

Occupational disease rate out of total workforce* (number of cases over workforce)

201620152014
ManWomanManWomanManWoman
Group0.030.020.030.000.030.01
Domestic0.040.020.040.010.040.02
Brazil0.000.000.000.000.000.00

*Temporary workers are not considered in this type of record. Their incidence on a Group level is in any case very small (4 people as at 31.12.2016)

[G4-LA9]

The following tables report training carried out in TI SpA, broken down according to gender

2016Hours   
 TotaliProcapiteParticipation*ParticipantsCoverage**
Total1,058,1932.480351,89737,73288.4%
Senior Managers21,6323.6733,16158098.5%
of whom women4,1394.267570101104.1%
of whom men17,4933.5552,59147997.4%
Middle Managers57,5441.79717,2422,82888.3%
of whom women16,3791.8574,79880090.7%
of whom men41,1651.77412,4442,02887.4%
Office Staff/ Workers979,0172.518331,49434,32488.3%
of whom women264,9112.285113,8119,84884.9%
of whom men714,1062.617217,68324,47889.7%

2015Hours    
TotalProcapiteParticipation*ParticipantsCoverage** 
Total1,338,273303250,16538,89288.0%
Senior Managers16,1762513,158659102.2%
of whom women3,552317653114101.8%
of whom men12,6242372,505545102.3%
Middle Managers55,94616810,6812,81284.4%
of whom women15,0591672,68677685.7%
of whom men40,8871697,9952,03784.0%
Office Staff/ Workers1,266,152315236,32635,47188.2%
of whom women289,75724581,70610,17386.1%
of whom men976,395344154,62025,29889.2%

2014 Hours   
 TotalProcapiteParticipation*ParticipantsCoverage**
Total1,458,59133266,32843,388982
Senior Managers20,5763083,870660988
of whom women4,508429834105100
of whom men16,0682853,036555986
Middle Managers63,11319612,9913,072956
of whom women17,3561993,65281894
of whom men45,7571959,3392,254962
Office Staff/ Workers1,374,902341249,46739,707986
of whom women263,83822280,88211,702983
of whom men1,111,064391168,58528,005987

(*) shows the overall number of participation in training sessions, in the various forms provided (classroom, online, training on the job)

(**) Coverage refers to the percentage of participants compared to the total, i.e. the % of human resources of TIM S.p.A. who took part in at least one training session in each individual category (senior managers, middle managers, office workers).

[G4-LA9] In 2016, TIM spent 10.95 million on training courses, amounting to a cost of 250.17 euro per capita.

[G4-LA13a]

Ratio of women/men according to basic salary and ratio of women/men according to remuneration, broken down according to each professional category

Italia TIM - S.p.A.20162015 2014
Senior ManagersGAS0.930.910.92
TAR0.930.900.92
Middle ManagersGAS0.950.950.95
TAR0.930.940.94
Office Staff/WorkersGAS0.950.950.95
TAR0.950.950.94

Brazil 201620152014
 Senior ManagersGAS0.770.740.76
TAR0.850.770.73
 Middle ManagersGAS0.950.940.94
TAR0.950.940.94
 Office Staff/workersGAS0.670.630.61
TAR0.670.620.62

GAS = Gross Annual Salary, comprising recurring fixed remuneration

TAR = Total Annual Remuneration, comprising the Gross Annual Remuneration + bonuses awarded during the reference year (the bonuses may refer to individual or group incentive systems or take the form of special awards or meritocratic policy awards).