HI:Residential floorspace in Europe: Difference between revisions

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=== Data ===
=== Data ===


 
Obtained from UNECE Bulletin of Housing Statistics for Europe and North America 2006 <ref>http://www.unece.org/hlm/prgm/hsstat/Bulletin_06.htm</ref> Table  Households by number of persons and square metre (m2) of useful floor space
Obtained from UNECE Bulletin of Housing Statistics for Europe and North America 2006 <ref>http://www.unece.org/hlm/prgm/hsstat/Bulletin_06.htm</ref> Table  Households by number of persons and square metre (m2) of useful floor space. To obtain volume, floorspace was multiplied by a height of 3 m.


Definitions from Bulletin<ref>http://www.unece.org/hlm/prgm/hsstat/Bulletin_06.htm</ref>:
Definitions from Bulletin<ref>http://www.unece.org/hlm/prgm/hsstat/Bulletin_06.htm</ref>:
Line 29: Line 28:


=== Causality ===
=== Causality ===
[[HI:Residential floorspace in Europe|Residential floorspace in Europe]]
Room height


=== Unit ===
=== Unit ===


m<sup>3</sup>
m<sup>2</sup>


=== Formula ===
=== Formula ===
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Distributions were developed for floor space by setting cumulative distribution percentiles according to UNECE table and values were set to upper end of ranges in table (under 50m², 50m² to 74m², 75m² to 99m², 100m² to 149m², 150m² and more). This corresponds to 49, 74, 99, 149, and 250.
Distributions were developed for floor space by setting cumulative distribution percentiles according to UNECE table and values were set to upper end of ranges in table (under 50m², 50m² to 74m², 75m² to 99m², 100m² to 149m², 150m² and more). This corresponds to 49, 74, 99, 149, and 250.
For Finland floor area per person was multiplied by average number of persons per dwelling in  2008 to obtain mean value.  Standard deviation was taken from standard deviation of Norway.
For Finland floor area per person was multiplied by average number of persons per dwelling in  2008 to obtain mean value.  Standard deviation was taken from standard deviation of Norway.
Floor space was multiplied by a default height of 3 m.


== Result ==
== Result ==


Result in m<sup>3</sup>
Initial results from data:
{| {{prettytable}}
{| {{prettytable}}
|
|
Line 55: Line 48:
| Denmark
| Denmark
| France
| France
| Germany
| Finland
| Finland
| Germany
| Greece
| Greece
| Hungary
| Hungary
Line 66: Line 59:
|----
|----
| Median
| Median
| 198
| 66
| 196
| 65
| 208
| 69
| 278
| 93
| 236
| 79
| 75
|  
|  
| 226
| 78
| 234
| 71
| 212
| 73
| 219
| 87
| 261
| 97
| 292
| 59
| 178
| 70
| 211
|----
|----
| Mean
| Mean
| 192
| 64
| 215
| 72
| 222
| 74
| 302
| 101
| 250
| 83
| 243
| 84
| 251
| 81
| 244
| 81
| 225
| 75
| 216
| 72
| 270
| 90
| 312
| 104
| 139
| 46
| 226
| 75
|----
|----
| Std. Dev.
| Std. Dev.
| 105
| 35
| 93
| 31
| 109
| 36
| 130
| 43
| 110
| 37
| 144
| 35
| 104
| 48
| 84
| 28
| 100
| 33
| 65
| 22
| 98
| 33
| 145
| 48
| 161
| 54
| 113
| 38
|----
|----
|}
|}


With extrapolated data:
Results with extrapolated values:
* *Extrapolated using average of median, average of mean, average of standard deviation for those countries in same Expolis category with data in UNECE.
 
{| {{prettytable}}
{| {{prettytable}}
| Country
| Country
Line 126: Line 119:
| Greece
| Greece
| Athens
| Athens
| 234
| 78
| 244
| 81
| 84
| 28
|----
|----
| Italy
| Italy
| Athens
| Athens
| 261
| 87
| 270
| 90
| 98
| 33
|----
|----
| France
| France
| Athens/Basel
| Athens/Basel
| 236
| 79
| 250
| 83
| 110
| 37
|----
|----
| Portugal*
| Portugal*
| Athens
| Athens
| 244
| 81
| 254
| 85
| 97
| 32
|----
|----
| Spain*
| Spain*
| Athens
| Athens
| 244
| 81
| 254
| 85
| 97
| 32
|----
|----
| Turkey*
| Turkey*
| Athens
| Athens
| 244
| 81
| 254
| 85
| 97
| 32
|----
|----
| Malta*
| Malta*
| Athens
| Athens
| 244
| 81
| 254
| 85
| 97
| 32
|----
|----
| Austria
| Austria
| Basel
| Basel
| 196
| 65
| 215
| 72
| 93
| 31
|----
|----
| Germany
| Germany
| Basel
| Basel
| 226
| 75
| 251
| 84
| 104
| 35
|----
|----
| France
| France
| Athens/Basel
| Athens/Basel
| 236
| 79
| 250
| 83
| 110
| 37
|----
|----
| Belgium*
| Belgium*
| Basel
| Basel
| 219
| 73
| 238
| 79
| 102
| 34
|----
|----
| Luxembourg*
| Luxembourg*
| Basel
| Basel
| 219
| 73
| 238
| 79
| 102
| 34
|----
|----
| Netherlands*
| Netherlands*
| Basel
| Basel
| 219
| 73
| 238
| 79
| 102
| 34
|----
|----
| Switzerland*
| Switzerland*
| Basel
| Basel
| 219
| 73
| 238
| 79
| 102
| 34
|----
|----
| Denmark
| Denmark
| Helsinki
| Helsinki
| 278
| 93
| 302
| 101
| 130
| 43
|----
|----
| Finland
| Finland
| Helsinki
| Helsinki
|  
|  
| 243
| 81
| 144
| 48
|----
|----
| Norway
| Norway
| Helsinki
| Helsinki
| 292
| 97
| 312
| 104
| 145
| 48
|----
|----
| Sweden*
| Sweden*
| Helsinki
| Helsinki
| 285
| 95
| 286
| 95
| 140
| 47
|----
|----
| Ireland
| Ireland
| Oxford
| Oxford
| 219
| 73
| 216
| 72
| 65
| 22
|----
|----
| Albania
| Albania
| Prague
| Prague
| 198
| 66
| 192
| 64
| 105
| 35
|----
|----
| Czech Republic
| Czech Republic
| Prague
| Prague
| 208
| 69
| 222
| 74
| 109
| 36
|----
|----
| Hungary
| Hungary
| Prague
| Prague
| 212
| 71
| 225
| 75
| 100
| 33
|----
|----
| Poland
| Poland
| Prague
| Prague
| 178
| 59
| 139
| 46
| 161
| 54
|----
|----
| Slovenia
| Slovenia
| Prague
| Prague
| 211
| 70
| 226
| 75
| 113
| 38
|----
|----
| Belarus*
| Belarus*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Estonia*
| Estonia*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Georgia*
| Georgia*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Latvia*
| Latvia*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Lithuania*
| Lithuania*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Republic of    Moldova*
| Republic of    Moldova*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Romania*
| Romania*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
| Slovakia*
| Slovakia*
| Prague
| Prague
| 201
| 67
| 201
| 67
| 118
| 39
|----
|----
|}
|}
* *Extrapolated using average of median, average of mean, average of standard deviation for those countries in same Expolis category with data in UNECE.


Results for all countries (in m<sup>3</sup>, normal distribution)
Results with R, assuming normal distribution
 
{| {{prettytable}}
{| {{prettytable}}
| align="center" style="background:#f0f0f0;"|'''country'''
| align="center" style="background:#f0f0f0;"|''''''
| align="center" style="background:#f0f0f0;"|'''reference'''
| align="center" style="background:#f0f0f0;"|'''Albania'''
| align="center" style="background:#f0f0f0;"|'''mean'''
| align="center" style="background:#f0f0f0;"|'''Austria'''
| align="center" style="background:#f0f0f0;"|'''sd'''
| align="center" style="background:#f0f0f0;"|'''Czech'''
|----
| align="center" style="background:#f0f0f0;"|'''Denmark'''
| Austria||UNECE||215||93
| align="center" style="background:#f0f0f0;"|'''France'''
|----
| align="center" style="background:#f0f0f0;"|'''Germany'''
| Belgium||||||
| align="center" style="background:#f0f0f0;"|'''Finland'''
|----
| align="center" style="background:#f0f0f0;"|'''Greece'''
| Bulgaria||||||
| align="center" style="background:#f0f0f0;"|'''Hungary'''
|----
| align="center" style="background:#f0f0f0;"|'''Ireland'''
| Cyprus||||||
| align="center" style="background:#f0f0f0;"|'''Italy'''
|----
| align="center" style="background:#f0f0f0;"|'''Norway'''
| Czech Republic||UNECE||222||109
| align="center" style="background:#f0f0f0;"|'''Poland'''
|----
| align="center" style="background:#f0f0f0;"|'''Slovenia'''
| Denmark||UNECE||302||130
| align="center" style="background:#f0f0f0;"|'''Estonia'''
|----
| align="center" style="background:#f0f0f0;"|'''Romania'''
| Estonia||||||
| align="center" style="background:#f0f0f0;"|'''Slovakia'''
|----
|-
| Finland||Tilastokeskus||243||144
| Mean||68||91||71||103||86||85||75||84||77||||70||106||60||74||52||37||49
|----
|-
| France||UNECE||250||110
| SD||24||43||28||45||38||37||38||30||31||||15||53||40||31||25||27||18
|----
|-
| Germany||UNECE||251||104
|----
| Greece||UNECE||244||84
|----
| Hungary||UNECE||225||100
|----
| Iceland||||||
|----
| Ireland||UNECE||216||65
|----
| Italy||UNECE||270||98
|----
| Latvia||||||
|----
| Lithuania||||||
|----
| Luxembourg||||||
|----
| Malta||||||
|----
| Netherlands||||||
|----
| Norway||UNECE||312||145
|----
| Poland||UNECE||139||161
|----
| Portugal||||||
|----
| Romania||||||
|----
| Slovakia||||||
|----
| Slovenia||UNECE||226||113
|----
| Spain||||262||0
|----
| Sweden||||||
|----
| Switzerland||||||
|----
| UK||||262||0
|----
|}
|}


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<references/>
<references/>
[[Category:Lama]]

Revision as of 07:19, 8 March 2011


Scope

Residences of all types (not distinguished) in Europe by country.

Definition

Data

Obtained from UNECE Bulletin of Housing Statistics for Europe and North America 2006 [1] Table Households by number of persons and square metre (m2) of useful floor space

Definitions from Bulletin[2]:

  • Dwelling - A dwelling is a room or suite of rooms and its accessories in a permanent building or structurally separated part thereof which by the way it has been built, rebuilt, converted, etc., is intended for private habitation. It should have a separate access to a street (direct or via a garden or grounds) or to a common space within the building (staircase, passage, gallery, etc.). Detached rooms for habitation which are clearly built, rebuilt, converted, etc., to be used as a part of the dwelling should be counted as part of the dwelling. (A dwelling may thus be constituted of separate buildings within the same enclosure, provided they are clearly intended for habitation by the same private household, e.g. a room or rooms above a detached garage, occupied by servants or other members of the household.)
  • Room - A room is defined as a space in a dwelling enclosed by walls, reaching from the floor to the ceiling or roof covering, and of a size large enough to hold a bed for an adult (4 sq.m at least) and at least 2 metres high over the major area of the ceiling. In this category should fall normal bedrooms, dining-rooms, living-rooms, habitable attics, servants' rooms, kitchens and other separate spaces intended for dwelling purposes. Kitchenettes, corridors, verandas, lobbies, etc., as well as bathrooms and toilets, should not be counted as rooms.
  • Floor space of a dwelling - Two concepts of floor space of a dwelling are used:
    • Useful floor space is the floor space of dwellings measured inside the outer walls, excluding cellars, non-habitable attics and, in multi-dwelling houses, common spaces.
    • Living floor space is the total area of rooms falling under the concept of "room" as defined above.

UNECE also provides data such as average useful floor space or average useful living space. Useful floor space was chosen as the main source of floor space data. Because the desired result for this variable is in the form of parameters that can be used to derive a distribution, rather than use tables of the average useful floor space, tables that categorized the percentage of homes in certain ranges of floor space were used. Data in this format was not available for some countries.

For Finland, data from Tilastokeskus[3].

Extrapolation to countries that did not have data in the UNECE tables for categorized useful floor space were extrapolated based on the air exchange rate categories from heande:HI:Air_exchange_rate_for_European_residences

Causality

Unit

m2

Formula

Distributions were developed for floor space by setting cumulative distribution percentiles according to UNECE table and values were set to upper end of ranges in table (under 50m², 50m² to 74m², 75m² to 99m², 100m² to 149m², 150m² and more). This corresponds to 49, 74, 99, 149, and 250. For Finland floor area per person was multiplied by average number of persons per dwelling in 2008 to obtain mean value. Standard deviation was taken from standard deviation of Norway.

Result

Initial results from data:

Albania Austria Czech Denmark France Germany Finland Greece Hungary Ireland Italy Norway Poland Slovenia
Median 66 65 69 93 79 75 78 71 73 87 97 59 70
Mean 64 72 74 101 83 84 81 81 75 72 90 104 46 75
Std. Dev. 35 31 36 43 37 35 48 28 33 22 33 48 54 38

Results with extrapolated values:

Country Expolis Ach Median Mean Std. Dev.
Greece Athens 78 81 28
Italy Athens 87 90 33
France Athens/Basel 79 83 37
Portugal* Athens 81 85 32
Spain* Athens 81 85 32
Turkey* Athens 81 85 32
Malta* Athens 81 85 32
Austria Basel 65 72 31
Germany Basel 75 84 35
France Athens/Basel 79 83 37
Belgium* Basel 73 79 34
Luxembourg* Basel 73 79 34
Netherlands* Basel 73 79 34
Switzerland* Basel 73 79 34
Denmark Helsinki 93 101 43
Finland Helsinki 81 48
Norway Helsinki 97 104 48
Sweden* Helsinki 95 95 47
Ireland Oxford 73 72 22
Albania Prague 66 64 35
Czech Republic Prague 69 74 36
Hungary Prague 71 75 33
Poland Prague 59 46 54
Slovenia Prague 70 75 38
Belarus* Prague 67 67 39
Estonia* Prague 67 67 39
Georgia* Prague 67 67 39
Latvia* Prague 67 67 39
Lithuania* Prague 67 67 39
Republic of Moldova* Prague 67 67 39
Romania* Prague 67 67 39
Slovakia* Prague 67 67 39
  • *Extrapolated using average of median, average of mean, average of standard deviation for those countries in same Expolis category with data in UNECE.

Results with R, assuming normal distribution

' Albania Austria Czech Denmark France Germany Finland Greece Hungary Ireland Italy Norway Poland Slovenia Estonia Romania Slovakia
Mean 68 91 71 103 86 85 75 84 77 70 106 60 74 52 37 49
SD 24 43 28 45 38 37 38 30 31 15 53 40 31 25 27 18

See also

References