Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for...
Transcript of Training for employment Key findings 2018 · 2020-07-03 · Key findings 2018 State Foundation for...
Fundación Estatal PARA LA FORMACIÓN EN EL EMPLEO
Training for employment
Key findings 2018
Last
dat
a up
date
: 29
/03/
2019
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
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)
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
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
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
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
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
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)