Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for...

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Fundación Estatal PARA LA FORMACIÓN EN EL EMPLEO Training for employment Key findings 2018 Last data update: 29/03/2019

Transcript of Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for...

Page 1: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Fundación Estatal PARA LA FORMACIÓN EN EL EMPLEO

Training for employment

Key findings 2018

Last

dat

a up

date

: 29

/03/

2019

Page 2: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Editing and distribution:Fundación Estatal para la Formación en el EmpleoC/ Torrelaguna, 5628027 Madrid

www.fundae.es

Data from 23rd March 2019More data at Estadísticas Fundae

Page 3: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Key findings 2018

58%22%

11%

5%4%

State Foundation for Training in Employment

Budget: allocation of available funds for training primarily aimed at employed workers

2018Allocation of funds according to training initiatives (millons of euros)

Bonuses or discountsfor companies

State calls for proposals(subsidies)

661.4

254.8

Regional calls for proposals(subsidies)**

130.7

Training for workers in publicadministration

60.7

Fundae’s operating expenses 39.6

The overall budget allocated to training primarily for employed workersamounts to 1 147 million euros: 8% more than the previous year. 58% ofthe budget is dedicated to bonuses for companies to train theiremployees.

2

(*) Including 80 million euros for 2015 and 120 million euros for 2016 allocated to thespecific programme for young unemployed adults registered in the National YouthGuarantee System. The State Foundation for Training in Employment (Fundae) managesthis programme.(**) Ceuta and Melilla´s budget has been included in the regional calls for proposalsalthough it is managed by the State Foundation for Training in Employment (Fundae).

1 4271 506 1 545

1 431

951 953 9511 069*

1 166*1 064

1 147

0

200

400

600

800

1 000

1 200

1 400

1 600

1 800

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Mill

ion

s

Budget progress**

Employed workers training budget (mil lions of euros)

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Key findings 2018

247 960

State Foundation for Training in Employment

The number of training companies increases slightly, after fourconsecutive years of decline. Around 4 500 companies more than in2017. It grows, in absolute terms, in all ranges of business size, except forthe microenterprise that falls slightly.

The coverage rate remains at the same levels of 2017.

3

Company training: companies that train their employees

86 659

*Training companies coverage rate: percentage of companies that provide trainingfor their workers with respect to the total number of companies registered in theGeneral Treasury of Social Security paying the Vocational Training levy. Trainingcompanies are those that develop training for their employees and communicate thetraining to Fundae, so the cost of training can be reduced in Social Securitycontributions.

21 117

Medium sized companies (from 50

to 429 )

4 191

Large companies (> de 249)

Micro SMEs (from 1 to 9)

SMEs (from 10 to 49 )

8.614.3

20.524.7 26.9 26.0 25.7 23.4

18.5 16.8 16.6

30.2

39.1

49.655.5

58.9 59.3 58.855.6

51.2 49.7 49.7

61.866.5

74.4 78.581.4 82.0 83.4 83.3 81.2 81.2 81.2

84.9 87.9 89.7 90.2 91.8 93.4 93.7 92.9 93.0 92.7 92.0

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

90.0

100.0

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Training companies coverage rate *

Micro SMEs (from 1 to 9 employees) SMEs (from 10 to 49 employees)

Medium sized companies (from 50 to 429 employees) Large companies (more than 249 employees)

200 689

293 460

380 548

432 182459 620

478 621 471 590

439 188

367 770 355 507 360 052

12.0%

17.8%

24.6%

28.8%

31.1%30.0% 29.7%

27.4%

22.7%21.2% 21.2%

0%

5%

10%

15%

20%

25%

30%

35%

0

50 000

100 000

150 000

200 000

250 000

300 000

350 000

400 000

450 000

500 000

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Number of training companies and coverage rate

Training companies Companies coverage

Page 5: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Key findings 2018

Micro SMEs (from 1 to 9)

State Foundation for Training in Employment4

Company training: credits for companies

Creditutilisation ratio (c)

96 391 553

99 646 343

113 383 876

226 204 773

18.0

18.6

21.2

42.2

75.1

57.1

60.4

67.2

Utilised credit (b)

SMEs (from 10 to 49

Medium sized companies (from

50 to 429 )

Large companies(>

de 249)

The credit utilised by companies that have completed training in 2018was 535.6 million euros, a slightly higher amount than in 2017 andrepresents 64.8% of the total available credit. This ratio is again one ofthe lowest in recent years.

Overall, and as in previous years companies with 1 to 9 employees arethe segment that has consumed the highest proportion of their credits.

(a) Available credit: amount available to companies for the training of their employees through the

application of Social Security bonuses. It is determined, in each fiscal year, as a percentage of the

vocational training levy quoted in the previous year. The percentage of bonus is established annually

by the state budget and is greater the smaller the size of the company. (b) Utilised credit: amount of

credit used by companies to carry out training activities. (c) Credit utilisation ratio: ratio between the

utilised credit and the total available credit.

535 628 097 100.0 64.8Total*

Absolutein €

%

* The difference between the total and partial sum is due to 125 companies that have

changed their status during the 2018 financial year derived from mergers and

acquisitions.

58%

60%

62%

64%

66%

68%

70%

72%

74%

76%

78%

0

100

200

300

400

500

600

700

800

900

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Mill

ion

s o

f €

Progress of training credits

Available credit (a) Credit util ised (b) Credit util isation ratio ( c)

Rat

io

Page 6: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Key findings 2018

42.8

37.2

38.5

34.5

34.8

30.9

32.2

33.3

30.5

29.7

28.5

28.1

30.4

27.0

24.3

25.1

25.1

16.5

20.2

State Foundation for Training in Employment 5

> mean ≈ mean < mean

Participants in company training

Workers

2 800 103

Participants

4 413 853

44%

56%

Around 4.5 million participants have received company training, 10%more than in 2017. The training coverage rate stands at 33.6%, twopoints higher than last year's results. By gender, the volume of femaleparticipation is still lower than their share in the labour market (44% vs.46%).

By Autonomous Community, Madrid, Cataluña, Navarra, Aragón andPaís Vasco exceed the average coverage rate. On the opposite end,Ceuta, Melilla and La Rioja register the lowest rates of trainingcoverage.

*Participant coverage rate: percentage of participants who took part in training organized bycompanies respect to total private sector employees according to LFS (second quarter 2018).Trained participants: Each worker who attends a training course is a participant. A workertaking part in more than one course would be counted as many times as courses taken.

Participant training coverage*

1 997 546

2 421 153

2 771 0692 986 493

3 176 789 3 224 1823 291 803 3 576 748

3 766 9974 017 000

4 413 853

1 533 386

1 862 7092 113 754

2 272 9862 369 016 2 384 069 2 423 1652 535 068 2 535 038

2 626 951

2 800 103

0

500 000

1 000 000

1 500 000

2 000 000

2 500 000

3 000 000

3 500 000

4 000 000

4 500 000

5 000 000

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Progress of participants and workers

Trained participants Trained workers

Page 7: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Key findings 2018

State Foundation for Training in Employment

CompletedPIF

Training hours

Averageof hours

5 178 373 171 72.1

6

Participants in company training*

The number of workers who had an individual training leave (PIF) is 5 178,15% less than in 2017. Of them, 54.7% are men and 45.3% are women andthe age range from 36 to 45 years is still the most numerous (above40%).

Two of every three PIFs were used to obtain an university degree.

*An Individual Training Leave (PIF in Spanish) is a paid leave authorised by the companyfor a worker to follow a training programme, which leads to an official qualification.

0.5%

2.7%

8.8%

9.8%

12.1%

66.1%

0% 10% 20% 30% 40% 50% 60% 70%

Upper secondary education or lower

Professional Certificates

Languages

VET

Other qualifications

University

Type of studies

54.7%

45.3%

Participants by gender

Men

Women

Page 8: Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for Training in Employment Completed PIF Training hours Average of hours 5 178 373 171

Key findings 2018

79%16%

5%

TrainingActions

State Foundation for Training in Employment

Subsidised training: Programmes for training in professional skills related to technologicalchanges and digital transformation (ICT Programme). 2018 Call for proposals*

7

Crosscutting programmes

Financing Expected participants

Average hours

2 767 841

39 447 918

7 399 454

8 076

145 161

22 491

65.9

52.0

58.9

49 615 213 175 728 53.6

Key Sector programmes*

Sectoral Programmes

Total

*Data from the resolution of the State Public Employment Service published in the

official gazette on May 11th, 2018. The implementation period set in the Call is one

year from the notification date of the final resolution of the concession. ADVANCE of

data to April 23th, 2019. This call is in the processing phase.

*Specific sectoral training actions related to professional competencies in key sectors for

technological development (companies of digital economy, consultancy and engineering)

25950

17

Sectoral programmes

Crosscuting programmes

Key sector programmes

326

Programmes

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Key findings 2018

320 1 113 270

7.5

6.1

4.8

0

2

4

6

8

0

200

400

600

800

1 000

1 200

Face to face training Blended learning E-learning

Estimated subsidy per expected participant (€)

Subsidy/participant

Estimated subsidy per expected participant

Euro

s

107 259 151

9.8

5.9 5.8

0

2

4

6

8

10

12

0

50

100

150

200

250

300

350

Face to face training Blended learning E-learning

Discount on Social Security contribution per trained

participant

Cost/Participant Cost/Hour/Participant

Euro

s

State Foundation for Training in Employment 8

Training hours and funding in company training and subsidised training at state level

54 h

Hours per participant

Subsidy per participant

282 €

15 h

Hours per participant

Cost per participant

119 €

Discount in SS per participant

Privatecontribution

173 €

Subsidised training programmes are on average longer than company training. Face-to-face training, as in previous years, has the highestestimated cost per hour and participant, while e-learning is the cheapest in both initiatives.

Subsidised training - ICT Programme

Company training

75.5 1.0 23.5

11

44

26

0 %

20 %

40 %

60 %

80 %

100 %

Face to face training Blended learning E-learning

0

10

20

30

40

50

Pa

rtic

ipa

nts

Ho

urs

(a

ve

rag

e)

Participants and average hours per trained participant

Participants % Hours (average)

19.6 0.3 80.1

42.6

181.5

55.8

0

40

80

120

160

200

Face to face training Blended learning E-learning

0 %

20 %

40 %

60 %

80 %

100 %

Ho

urs

(a

ve

rag

e)

Pa

rtic

ipa

nts

Participants and average hours per expected participant

Participants % Hours (average)