The SIRH in Portugal: Policy Decisions on Human Resources Rely on Public Employment Statistics

© OECD
AjointinitiativeoftheOECDandtheEuropeanUnion,
principallyfinancedbytheEU
Séminaire sur
Les systèmes d’information pour la
gestion des ressources humaines
dans l’administration publique
Alger 7-8 décembre 2012
SIGMA
et la
Direction Générale de la Fonction Publique d’Algérie

© OECD
The SIRH in Portugal:
Policy Decisions on Human
Resources Rely on Public
Employment Statistics
Fernanda Teixeira
Department of Public Employment Statistics
Directorate-General for Administration and Public Employment
Portugal

© OECD
The SIRH in Portugal:
Policy decisions on human resources
rely on public employment statistics
Presentation Overview:
 Background: data collection on human resources in public
administration
 The Portuguese SIRH: The Information System for State
Organization - SIOE
 SIOE: Data collection on human resources characterization
- employment and salaries -
 Output: Statistical indicators and Key figures on
employment and salaries

© OECD
1968 – Survey on Civil Servants Inventory (launched by the NSO)
1979, 1983, 1986, 1988, 1991 - 5 Surveys on Public Administration
Human Resources
• 1996 - 1.st General Census of Public Administration (Data collection through
floppy-disk)
• 1999 - 2.nd General Census of Public Administration
• 2005 – Human Resources Data Base of Public Administration (BDAP)
BDAP - the most complete data collection on public employment (census).
The information was uploaded online by all public department. It includes
all the General government entities: number of employees, gender, age,
number of years in GG, public employment legal relationship, careers,
compensation of employees, and other characteristics.
Background: Data collection
on public employment in Portugal

© OECD
INFORMATION SYSTEM FOR
STATE ORGANIZATION
First launched in March 2008
o The SIOE as defined by Law n. º 57/2011 of 28 November is a
unique and cross-sectional information system and a database
of organizational characterization of all services and public
entities and the respective human resources.
 With the purpose to enable the governmental authorities with
essential information to define policies of public administration
organization and human resources management

© OECD
SIOE
All General
Government (GG)
entities
(and sub-entities)
characterized
Online data
collection on
human resources
for statistical
purposes
INFORMATION SYSTEM
FOR STATE ORGANIZATION

© OECD
INFORMATION SYSTEM
SIOE is a database that covers:
(i) All General Government (GG) entities (and sub-entities)
Consist of all public bodies covered under the State Budget,
autonomous services and funds, regional governments of the
Azores and Madeira, local governments, social security funds
and other entities that comprise the universe of General
Government in national accounts.
It also comprises some publicly funded institutions like public
non-financial corporations mainly of the health sector.

© OECD
principallyfinancedbytheEU INFORMATION SYSTEM
All the entities are characterized and classified by several relevant
aspects such as:
government level
supervising ministry
scope
mission
type of entity
geographic location
classified by economic activity
classified by sector and subsector of National Accounts framework
(i) All General Government (GG) entities (and sub-entities)

© OECD
All the public entities have to register online data on :
Quarterly :
• Number of staff by career, sex and employment legal
relationship
• Number of staff entries (i.e. new hiring) and exit (i.e. retirement,
mobility flows)
• Wages, allowances and bonuses paid by career
Twice a year (30th June and 31st December):
• Number of staff by career and age level
• Number of staff by career and level of education
• Number of staff with disabilities
(ii) Human Resources Data

© OECD
INFORMATION SYSTEM
The uploading of the human resources data is mandatory for
all entities and agencies of all the administration levels -
Central, Regional and Local Governments. The SIOE Law
defined penalties for those entities that do not comply.
(ii) Human Resources Data

© OECD
SIOE – Public Entities and Agencies

© OECD
SIOE – Entities and Agencies
Public entities
(all the universe classified by national accounts
subsectors)
9 306 entities and subentities (total)
From which: 7 408 entities
Central Gov.: 2 127 entities
 From which 909 elementary and secondary
schools
Regional Gov. Azores and Madeira: 334
entities
Local Gov.: 4 977 entities
Entity
Aggregated entity(ies)
Subentity(ies)

© OECD
principallyfinancedbytheEU Search results

© OECD
Collection of data on human resources
characterization

© OECD
Online data collection table

© OECD
principallyfinancedbytheEU SIOE – Collection of data on human
resources characterization - employment
Table 1. Number of staff (stock) by career, sex and
employment legal relationship
Periodicity: Quarterly
Reference date: last day of the quarter
Table 2. Number of staff entries by entry modalities (T 2.1) and
Number of staff who left by exiting modality (i.e. retirement,
mobility flows) (T 2.2) by career and sex during the reference
quarter
Reference date: quarter

© OECD
Table 3. Wages, allowances and bonuses paid and time of
work by career
Reference date: first month of the quarter (January, April, July,
October)
Variables: number of employees; base salary; regular supplements;
payments for overtime work; irregular supplements; normal working
hours; overtime hours.
T 3.1 – Full time staff paid for the entire month
T 3.2 - Full time staff paid for part of the month
T 3.3 – Part-time staff
SIOE – Collection of data on human
resources characterization - salaries

© OECD
Table 4. Number of staff by age level, by career and sex
Table 5. Number of staff by level of education, by career and
sex
Periodicity: twice a year
Reference date: last day of the semester (June 30th, December
31st)
Table 6. Provision of services by modalities (task / retainer)
and respective costs by sex
Table 7. Number of staff with disabilities by sex
Periodicity: twice a year
Reference date: last day of the semester (June 30th, December
31st) and the semester
SIOE – Collection of data on human
resources characterization - employment

© OECD
 Tables for data collection have:
INSTRUCTIONS FOR FILLING/ CONCEPTS
Frequently asked questions (FAQ’s)
Helpdesk by e-mail sioe@dgaep.gov.pt
Helpdesk by phone
 The system does some online validation of the data and sends
the result to the respondent entity
 Validations are also made during the statistical processing (and
subsequent contact with the entity, if appropriate)
 Treatment of non-responses
SIOE – Collection of data on human resources
characterization - employment and salaries

© OECD
Output:
Statistical indicators and Key figures

© OECD
A – Quarterly statistical indicators
(published 45 days after the ende of the quarter)
 Indicator 1: No. of general government workers (stock) by subsectors /
Ministries / careers / sex / legal employment relashionship / economic activity
 Indicator 2: Entry and exit flows over the quarter by subsectors /
Ministries / careers / sex / legal employment relashionship / economic activity
/ modality
 Indicator 3: Average month wage, allowances and bonuses by
subsectors / Ministries / careers / economic activity
SIOE – Main statistical indicators

© OECD
B - Biannual statistical indicators
 Indicator 4: Age structure of the GG workers by subsectors /
Ministries / careers / sex
 Indicador 5: Education level of the GG workers by subsectors /
Ministries / careers / sex
Indicador 6: Provision of services by modalities per Ministry
 Indicador 7: Percentage of staff with disabilities by sex / per Ministry
SIOE – Main statistical indicators

© OECD
Sources: DGAEP – SIOE (available data on 31-10-2012); DGAEP/DEEP – SIEP Q3 2012
Unit: Jobs
Number %
General government 612 883 604 293 581 444 -31 439 -5.1
Central government 458 281 452 483 432 053 -26 228 -5.7
Local and regional government 154 602 151 810 149 391 -5 211 -3.4
Regional government of Azores 15 247 15 061 14 916 -331 -2.2
Regional government of Madeira 17 512 17 388 17 200 -312 -1.8
Local government 121 843 119 361 117 275 -4 568 -3.8
31
st
dec.
2011
30
th
jun.
2012
30
th
sep.
2012 (p)
Change
sep-12 / dec-11
Central
government
74.3%
Local
government
20.2%
Azores
2.5%
Madeira
3.0%
Regional
government
5.5%
Employment in General Government subsectors
Proportion of Employment by General Government subsectors
- Q3 2012 -

© OECD
10.9
13.0
16.6
9.0
10.7
13.1
15.5
0
4
8
12
16
20
Labour force Total
employment
Employees
Inpercentage
Total
Male
Female
56.6
59.7
64.8
70.3
41.9
Labour force
47.0
0
10
20
30
40
50
60
70
General
government
Central
government
Azores
Madeira
Local
government
Inpercentage
Sources: DGAEP – SIOE; DGAEP/DEEP – SIEP Q3 2012; BOEP n. 07/2012
Public employment as share of the labour
force and total employment
Female employment rate in general
government and labour force

© OECD
1.5
13.5
18.0
18.3
7.3
0.7
0.6
8.6
18.0
20.0
8.9
0.4
0 5 10 15 20 25
<=24
25 - 34
35 - 44
45 - 54
55 - 64
>=65
In percentage
2011
2005
Women
2.7
9.5
11.1
12.7
4.3
0.5
2.2
7.8
12.4
13.8
6.8
0.4
0510152025
2011
2005
Men
Age group pyramid of General Government staff, 2005 and 2011
Average age in GG compared with labour force, 2011
Sources: DGAEP –
SIOE; DGAEP/DEEP;
BOEP n. 07/2012
43.3
44.6
44.0
42.0
45.0
43.8
44.4
43.5
43.8
46.3
43.4
45.1
labour
force
41.7
38
40
42
44
46
48
Men
Women
Total
Men
Women
Total
Men
Women
Total
Men
Women
Total
General
government
Central
government
Regional
government
Local
government
Yearsold

© OECD
35.2
56.7
47.4
42.2
61.6
53.8
41.6
56.5
51.3 50.0
52.1 51.5
15.4
32.1
22.4
0
10
20
30
40
50
60
70
Men Women Total Men Women Total Men Women Total Men Women Total Men Women Total
GENERAL
GOVERNMENT
Central government Azores Madeira Local Government
Inpercentage
Labour
force
18,1
Weight of staff with an university education level by GG subsectors
compared with labour force, 2011
Sources: DGAEP – SIOE; DGAEP/DEEP; BOEP n. 07/2012

© OECD
1,401.0
1,589.8
0
500
1,000
1,500
2,000
2,500
C+E+F H I+L+N+S J M O P Q R
Euros
Average monthly gross wage Average monthly earning
Average monthly gross wage Average monthly earning
Average monthly wage and earnings by economic activity (ISIC/NACE),
October 2011
Sources: DGAEP – SIOE; DGAEP/DEEP; BOEP n. 07/2012
Code Designation Code Designation
M Professional, scientific and technical activities
O Public administration and defence; compulsory social security
H Transportation and storage P Education
I+L+N
+S
Accommodation and food service, Real estate,
Administ. and support service
Q Human health and social work activities
J Information and communication R Arts, entertainment and recreation
C+E+F
Manufacturing, Water supply; and
Construction

The SIRH in Portugal: Policy Decisions on Human Resources Rely on Public Employment Statistics

Recommandé

Recommandé

Contenu connexe

Similaire à The SIRH in Portugal: Policy Decisions on Human Resources Rely on Public Employment Statistics

Similaire à The SIRH in Portugal: Policy Decisions on Human Resources Rely on Public Employment Statistics (20)

Plus de Support for Improvement in Governance and Management SIGMA

Plus de Support for Improvement in Governance and Management SIGMA (20)

Dernier

Dernier (20)

The SIRH in Portugal: Policy Decisions on Human Resources Rely on Public Employment Statistics