Fourth quarter of 2013
compared with fourth quarter of 2012
Euro area house prices down by 1.4%
EU down
by 0.1%
House prices, as
measured by the House Price Index1 (HPI), fell by 1.4% in the euro area2 and by 0.1% in
the EU3 in the fourth
quarter of 2013 compared with the same quarter of the previous year, according
to data published by Eurostat, the
statistical office of the European
Union.
Compared with the
third quarter of 2013, house prices fell by 0.7% in the euro area and by 0.3% in the EU
in the fourth quarter of 2013.
House price indices - euro area and EU
2010 = 100
House price developments in the EU Member States
Among the EU Member
States for which data are available, the largest annual falls in house prices
in the fourth quarter of 2013 were recorded in Croatia (-14.4%), Cyprus
(-9.4%) and Spain (-6.3%), and the
highest increases in Estonia
(+15.6%), Latvia (+7.9%) and Sweden (+7.0%).
The largest quarterly
falls were recorded in Hungary
(-1.8%), Spain (-1.3%), Denmark and Italy (both -1.2%), and the highest increases in Latvia (+2.7%), Estonia and Lithuania
(both +2.6%) and Ireland (+2.5%).
Quarterly and annual house price developments
Percentage change compared with the
previous quarter |
Percentage change compared with the
same quarter of the previous year |
|||||||
2013
|
2013
|
|||||||
Q1
|
Q2
|
Q3
|
Q4
|
Q1
|
Q2
|
Q3
|
Q4
|
|
Belgium
|
0.0
|
-0.3
|
1.6
|
-1.1
|
0.4
|
0.1
|
0.5
|
0.2
|
Germany
|
-0.4
|
1.9
|
:
|
:
|
3.8
|
4.4
|
:
|
:
|
Estonia
|
3.1
|
3.7
|
5.3
|
2.6
|
7.7
|
8.1
|
11.1
|
15.6
|
Ireland
|
-2.6
|
2.3
|
4.1
|
2.5
|
-3.0
|
1.2
|
3.7
|
6.3
|
Greece
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
Spain
|
-5.1
|
-0.8
|
0.8
|
-1.3
|
-12.8
|
-10.6
|
-6.4
|
-6.3
|
France
|
-1.2
|
-0.1
|
0.9
|
-1.0
|
-2.0
|
-2.2
|
-2.0
|
-1.5
|
Italyp
|
-1.5
|
-0.6
|
-1.5
|
-1.2
|
-6.1
|
-5.9
|
-5.7
|
-4.8
|
Cyprus
|
-4.8
|
-3.4
|
-0.4
|
-1.1
|
-0.4
|
-8.8
|
-8.0
|
-9.4
|
Luxembourg*
|
-0.9
|
2.8
|
1.6
|
1.2
|
4.3
|
5.1
|
6.5
|
4.8
|
Malta
|
0.3
|
1.2
|
-1.1
|
0.8
|
3.9
|
3.9
|
2.5
|
1.2
|
Netherlands
|
-2.8
|
-2.1
|
0.7
|
-0.5
|
-7.2
|
-7.7
|
-3.3
|
-4.5
|
Austria
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
Portugalp
|
-3.2
|
0.9
|
0.4
|
1.4
|
-7.3
|
-4.3
|
-2.9
|
-0.6
|
Slovenia
|
0.7
|
0.8
|
-4.4
|
1.0
|
-4.3
|
-4.6
|
-6.4
|
-2.0
|
Slovakia
|
2.3
|
0.3
|
-0.2
|
-0.1
|
0.0
|
1.2
|
0.2
|
2.2
|
Finland
|
0.7
|
0.6
|
-0.5
|
-0.2
|
2.1
|
1.5
|
0.8
|
0.6
|
Euro areap
|
-1.5
|
0.4
|
0.4
|
-0.7
|
-2.6
|
-2.2
|
-1.3
|
-1.4
|
Bulgariap
|
-0.9
|
0.5
|
-1.0
|
0.1
|
-2.2
|
-2.2
|
-3.0
|
-1.2
|
Czech Republic
|
-0.4
|
0.8
|
0.0
|
-0.3
|
-0.7
|
0.0
|
0.2
|
0.0
|
Denmark
|
1.3
|
3.4
|
0.0
|
-1.2
|
2.6
|
4.5
|
4.2
|
3.4
|
Croatiap
|
-7.7
|
-6.5
|
-0.9
|
0.2
|
-15.2
|
-19.6
|
-16.9
|
-14.4
|
Latvia
|
0.1
|
4.4
|
0.5
|
2.7
|
5.0
|
8.1
|
6.4
|
7.9
|
Lithuania
|
0.7
|
1.5
|
-1.8
|
2.6
|
-0.1
|
2.4
|
-0.4
|
3.0
|
Hungary
|
-0.1
|
0.1
|
0.2
|
-1.8
|
-6.2
|
-2.8
|
-1.8
|
-1.6
|
Poland
|
c
|
c
|
c
|
c
|
c
|
c
|
c
|
c
|
Romania
|
4.3
|
-0.8
|
-2.4
|
-0.7
|
-0.8
|
-1.0
|
0.8
|
0.2
|
Sweden
|
1.7
|
1.6
|
1.8
|
1.6
|
4.1
|
4.6
|
5.8
|
7.0
|
United Kingdom
|
-0.1
|
1.9
|
2.5
|
1.1
|
2.2
|
2.9
|
3.6
|
5.5
|
EUp
|
-1.1
|
0.6
|
0.6
|
-0.3
|
-1.8
|
-1.3
|
-0.4
|
-0.1
|
Iceland
|
0.7
|
2.7
|
2.5
|
1.7
|
4.2
|
4.9
|
6.1
|
7.8
|
Norway**
|
3.0
|
1.1
|
-1.4
|
-3.0
|
6.9
|
5.0
|
2.2
|
-0.5
|
* only
flats
** only existing dwellings
: data not available
p provisional
c confidential
1.
The House Price Index
(HPI) measures the price changes of all residential properties purchased by
households (flats, detached houses, terraced houses, etc.), both newly built
and existing, independently of their final use and independently of their
previous owners. The Member States’ HPIs are compiled by the National
Statistical Institutes. The euro area and the EU aggregate HPIs are compiled by
Eurostat. HPIs are computed as annually chained indices with weights being
updated each year. The European HPI aggregates are currently calculated as
weighted averages of the national HPIs using as weights the GDP at market
prices (expressed in millions Purchasing Power Standards - PPS) of the
countries concerned. The figures are not seasonally adjusted.
Missing
country data is estimated by Eurostat using data from non-harmonised sources.
These estimates are not published but are used to calculate euro area and EU
aggregates.
The
Member States’ HPIs are compiled following a harmonised methodology. The
methodology is summarised in the Handbook on Residential Property Price
Indices, published in 2013 (first edition) on the Housing Price Statistics
dedicated page: http://epp.eurostat.ec.europa.eu/portal/page/portal/hicp/methodology/hps/rppi_handbook
and
in a Methodological Manual:
This
quarterly News Release is complemented by a Statistics Explained article on the
Eurostat website:
2. The data refers to the euro area country composition at a specific point
in time. New Member States are integrated into the aggregate using a chain
index formula. Latvia is a member of the
euro area from 1 January 2014, and will be included in the calculation of the
euro area HPI aggregate with the index for the first quarter of 2014.
3. The data refers to the EU country composition at a specific point in
time. New Member States are integrated into the aggregate using a chain index
formula. Croatia has been included in
the EU HPI aggregate with the index for the third quarter of 2013.
Issued
by: Eurostat Press Office
Tim ALLEN
Tel: +352-4301-33 444
For further
information on data and methodology:
Bogdan MAROLA
Tel: +352-4301-34 955
STAT/14/56
10 April 2014
Labour Force Survey 2013
In the EU28, 10 million part-timers are
underemployed…
and 11 million persons considered as a
potential additional labour force
The EU28
population aged 15 to 74 can be classified into three groups: in 2013, these
were 216.4 million persons in employment, 26.2 million unemployed and 137.2
million economically inactive. Among those in employment, 43.7 million were
part-time workers, of which 9.9 million (23% of part-time workers) are
underemployed1, meaning they wished to work more hours and were
available to do so.
Among
the economically inactive population (those persons neither employed nor
unemployed), there were 9.3 million persons aged 15 to 74 available to work,
but not seeking2 and 2.2 million seeking work, but not available3
in the EU28 in 2013. While not part of the economically active
population, both groups have a certain attachment to the labour market and
could be considered as a potential additional labour force of 11.5 million
persons, equivalent to 4.7% of the labour force4.
This
information comes from an article5 published by Eurostat,
the statistical office of the European Union, based on the 2013 results
of the European Labour Force Survey.
Persons in employment in the EU28 in 2013
Largest shares
of underemployed part-time workers in Greece, Cyprus and Spain
In
2013, the proportion of underemployed part-time workers among total part-time
workers varied significantly among Member States, with the largest shares
observed in Greece (72.0%), Cyprus (59.0%), Spain (57.4%),
Portugal (45.9%), Latvia (44.4%) and Bulgaria (41.9%), and
the smallest in the Netherlands (4.2%), Luxembourg (10.3%), the Czech
Republic (11.4%), Denmark (11.7%) and Estonia (12.4%).
The
potential labour force also varied significantly between Member States, with
the largest proportions registered in Italy (equivalent to 12.6% of the
labour force) and Croatia (12.1%), and the smallest in the Czech
Republic (1.6%) and Lithuania (1.7%).
Underemployment and
part-time work, 2013
Persons aged 15 to 74 working part-time and being underemployed
|
Part-time employed aged 15 to 74, in % of total employment
|
|||
In thousands
|
As % of part time employed
|
As % of total employment
|
||
EU28
|
9 933
|
22.7
|
4.6
|
20.2
|
EA18
|
6 844
|
22.1
|
4.9
|
22.1
|
Belgium
|
164
|
14.8
|
3.6
|
24.6
|
Bulgaria
|
33
|
41.9
|
1.1
|
2.6
|
Czech Republic
|
37
|
11.4
|
0.7
|
6.5
|
Denmark
|
79
|
11.7
|
3.0
|
25.3
|
Germany
|
1 765
|
16.2
|
4.4
|
27.1
|
Estonia
|
8
|
12.4
|
1.3
|
10.2
|
Ireland
|
147
|
32.7
|
7.8
|
24.0
|
Greece
|
217
|
72.0
|
6.0
|
8.3
|
Spain
|
1 538
|
57.4
|
9.2
|
16.0
|
France6
|
1 541
|
32.6
|
6.0
|
18.4
|
Croatia
|
30
|
29.5
|
2.2
|
7.5
|
Italy
|
641
|
16.1
|
2.9
|
17.8
|
Cyprus
|
28
|
59.0
|
7.4
|
12.5
|
Latvia
|
32
|
44.4
|
3.6
|
8.1
|
Lithuania
|
35
|
30.6
|
2.7
|
8.9
|
Luxembourg
|
5
|
10.3
|
2.0
|
19.1
|
Hungary
|
92
|
35.0
|
2.3
|
6.7
|
Malta
|
5
|
18.8
|
2.8
|
14.8
|
Netherlands
|
180
|
4.2
|
2.2
|
50.7
|
Austria
|
166
|
15.1
|
4.0
|
26.4
|
Poland
|
365
|
30.6
|
2.3
|
7.7
|
Portugal
|
263
|
45.9
|
5.9
|
12.9
|
Romania
|
249
|
27.1
|
2.7
|
9.9
|
Slovenia
|
23
|
25.8
|
2.5
|
9.8
|
Slovakia
|
44
|
39.6
|
1.9
|
4.7
|
Finland
|
79
|
21.5
|
3.2
|
15.0
|
Sweden
|
248
|
20.1
|
5.3
|
26.2
|
United Kingdom
|
1 921
|
24.3
|
6.5
|
26.6
|
Iceland
|
:
|
:
|
:
|
21.4
|
Norway
|
76
|
10.5
|
2.9
|
27.8
|
Switzerland
|
264
|
16.4
|
6.0
|
36.2
|
Former Yugoslav
Rep. of Macedonia
|
13
|
41.8
|
1.9
|
4.6
|
Turkey
|
353
|
11.2
|
1.4
|
12.3
|
: Data
not available
Potential additional
labour force, 2013
Persons available
to work but not seeking2
|
Persons seeking
work, but not immediately available3
|
Potential additional labour force compared with the labour force4 aged 15-74, in %
|
|
Thousands
|
|||
EU28
|
9 310
|
2 159
|
4.7
|
EA18
|
6 452
|
1 530
|
5.0
|
Belgium
|
105
|
57
|
3.3
|
Bulgaria
|
253
|
30
|
8.4
|
Czech Republic
|
69
|
17
|
1.6
|
Denmark
|
67
|
25
|
3.2
|
Germany
|
549
|
517
|
2.5
|
Estonia
|
35
|
(2)
|
5.4
|
Ireland
|
39
|
17
|
2.6
|
Greece
|
100
|
41
|
2.9
|
Spain
|
1 146
|
223
|
6.0
|
France6
|
:
|
293
|
:
|
Croatia
|
194
|
(8)
|
12.1
|
Italy
|
3 091
|
114
|
12.6
|
Cyprus
|
21
|
3
|
5.4
|
Latvia
|
62
|
5
|
6.7
|
Lithuania
|
13
|
12
|
1.7
|
Luxembourg
|
15
|
2
|
6.5
|
Hungary
|
226
|
10
|
5.4
|
Malta
|
4
|
(0)
|
2.3
|
Netherlands
|
345
|
107
|
5.0
|
Austria
|
140
|
36
|
4.0
|
Poland
|
681
|
93
|
4.5
|
Portugal
|
279
|
28
|
5.8
|
Romania
|
445
|
:
|
4.5
|
Slovenia
|
25
|
(4)
|
2.9
|
Slovakia
|
49
|
16
|
2.4
|
Finland
|
122
|
62
|
6.9
|
Sweden
|
146
|
102
|
4.8
|
United Kingdom
|
766
|
330
|
3.4
|
Iceland
|
7
|
2
|
4.9
|
Norway
|
71
|
20
|
3.4
|
Switzerland
|
167
|
56
|
4.8
|
Former Yugoslav
Rep. of Macedonia
|
:
|
4
|
0.5
|
Turkey
|
1 703
|
115
|
6.5
|
: Data missing or not published
due to small sample size
( ) Data with
reduced reliability due to sample size.
1.
Underemployed part-time
workers are persons aged 15-74 working part-time who wish to work additional
hours and are available to do so. Part-time work is recorded as self-reported
by individuals.
2.
Persons available to work
but not seeking are persons aged 15-74 neither employed nor unemployed who want
to work, are available to work in the next 2 weeks but do not seek work.
3.
Persons seeking work but
not immediately available are those aged 15-74 neither employed nor unemployed
who actively sought work during the last 4 weeks but are not available to work
in the next 2 weeks. For completeness this category also includes three smaller
groups: those who found a job to start in less than 3 months and are not
available to work in the next 2 weeks; those who found a job to start in 3
months or more; those who passively sought work during the last 4 weeks and are
available to work in the next 2 weeks. Passive job search is e.g. waiting the
results of a job interview.
4.
The labour force consists
of persons in employment and unemployed.
5. See Statistics Explained article for more details at the following link: http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Underemployment_and_potential_additional_labour_force_statistics
6. INSEE, the French Statistical Office, has
carried out an extensive revision of the questionnaire of the Labour Force
Survey. The new questionnaire was used from 1 January 2013 onwards. It impacts
significantly the level of the French indicators mentioned in this release.
Detailed information on these methodological changes and their impact is
available in INSEE's website http://www.insee.fr/fr/themes/info-rapide.asp?id=14 Box "Pour en savoir plus". Due to
this revision, comparisons with the past should be avoided, both for the French
data and for the EU aggregates, which are also affected.
Data for France exclude the overseas
departments.
Published by Eurostat
Press Office
Louise
CORSELLI-NORDBLAD
Tel:
+352-4301-33 444
For further information:
Hervé RENNIE
Tel:
+352-4301-37 026
