atlas of urban vulnerability in spain: methodology and contents
atlas of urban vulnerability in spain: methodology and contents
atlas of urban vulnerability in spain: methodology and contents
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Atlas <strong>of</strong> Urban Vulnerability <strong>in</strong> Spa<strong>in</strong>.<br />
Methodology <strong>and</strong> <strong>contents</strong>.<br />
(January 2012 Edition).<br />
M<strong>in</strong>isterio de Fomento. M<strong>in</strong>istry <strong>of</strong> Public Works.
INDEX:<br />
1. Introduction.<br />
2. Methodology <strong>and</strong> <strong>contents</strong>.<br />
Doma<strong>in</strong> 1: Urban Vulnerability Indicators.<br />
Doma<strong>in</strong> 2: Contextual analysis <strong>of</strong> Urban Vulnerability Indicators.<br />
Doma<strong>in</strong> 3: Urban Inequity Indexes.<br />
Doma<strong>in</strong> 4: Urban Vulnerability Synthetic Indexes (Multiple Criteria<br />
classification)<br />
Information conta<strong>in</strong>ed <strong>in</strong> Symbols tab.<br />
3. Work<strong>in</strong>g Team Credits.
1. INTRODUCTION.<br />
The Atlas <strong>of</strong> Urban Vulnerability <strong>in</strong> Spa<strong>in</strong> is a part <strong>of</strong> the Observatory <strong>of</strong> Urban<br />
Vulnerability <strong>in</strong> Spa<strong>in</strong>, a long-term project by the Spanish M<strong>in</strong>istry <strong>of</strong> Public Works,<br />
<strong>in</strong>clud<strong>in</strong>g different studies related to Urban Vulnerability <strong>in</strong> Spa<strong>in</strong>, follow<strong>in</strong>g the<br />
statements <strong>of</strong> Article 108 about Information serv<strong>in</strong>g for public policies for a susta<strong>in</strong>able<br />
<strong>urban</strong> development, <strong>in</strong> the Law 2/2011 <strong>of</strong> Susta<strong>in</strong>able Economy.<br />
The Atlas <strong>of</strong> Urban Vulnerability <strong>in</strong> Spa<strong>in</strong> allows the analysis <strong>of</strong> <strong>urban</strong> <strong>vulnerability</strong> at<br />
Census Section level <strong>in</strong> every Spanish municipality. The Census section is the<br />
smallest population unit <strong>in</strong> the Spanish Censuses. The Atlas has been developed<br />
based on the data available from the 2001 Population <strong>and</strong> Hous<strong>in</strong>g Census. It is<br />
foreseen to update the Atlas with the results <strong>of</strong> the new 2011 Census.<br />
For each one <strong>of</strong> the 34.251 Census Sections <strong>in</strong> the 8.108 Spanish municipalities, the<br />
Atlas <strong>of</strong> Urban Vulnerability <strong>in</strong> Spa<strong>in</strong> <strong>of</strong>fers a total <strong>of</strong> 96 <strong>vulnerability</strong> <strong>in</strong>dicators <strong>and</strong><br />
<strong>in</strong>dexes, organised <strong>in</strong> 4 doma<strong>in</strong>s:<br />
Urban Vulnerability Indicators. This doma<strong>in</strong> conta<strong>in</strong>s 21 thematic maps,<br />
correspond<strong>in</strong>g to 21 Urban Vulnerability Indicators, grouped <strong>in</strong> four chapters:<br />
Sociodemographic Vulnerability (5 <strong>in</strong>dicators), Socioeconomic Vulnerability (6<br />
<strong>in</strong>dicators), Hous<strong>in</strong>g Vulnerability (5 <strong>in</strong>dicators) <strong>and</strong> Subjective perception Vulnerability<br />
(5 <strong>in</strong>dicators). Out <strong>of</strong> these 21 <strong>in</strong>dicators, 3 are considered to be Basic Indicators <strong>of</strong><br />
Urban Vulnerability (BIUV): Percentage <strong>of</strong> unemployed population, Percentage <strong>of</strong><br />
illiterate (or without basic education) population, <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong><br />
dwell<strong>in</strong>gs without toilet or WC.<br />
Contextual Analysis <strong>of</strong> Urban Vulnerability Indicators. This doma<strong>in</strong> allows mak<strong>in</strong>g<br />
maps compar<strong>in</strong>g the Urban Vulnerability Indicators <strong>of</strong> each Census Section (or<br />
m<strong>in</strong>imum population unit) with the municipal, regional (Autonomous Communities) or<br />
national context. It is possible to represent the number <strong>of</strong> times that the value <strong>of</strong> each<br />
<strong>in</strong>dicator <strong>in</strong> the Census Section Unit is above or below the value <strong>of</strong> the same <strong>in</strong>dicator<br />
<strong>in</strong> the municipality, the region (Autonomous Community) or the national value.<br />
Urban Inequity Indexes. Two synthetic Inequity Indexes are provided, calculated<br />
comb<strong>in</strong><strong>in</strong>g the 3 Basic Indicators <strong>of</strong> Urban Vulnerability (BIUV): IDS (Index <strong>of</strong><br />
Socioeconomic Inequity) <strong>and</strong> IDU (Index <strong>of</strong> Urban Inequity). Each <strong>of</strong> them can be<br />
referred to the municipality, the region (Autonomous Community) or to Spa<strong>in</strong>.<br />
Urban Vulnerability Synthetic Indexes (Multiple Criteria Classification). It is<br />
possible to represent <strong>urban</strong> <strong>vulnerability</strong> Multiple Criteria Classification, classify<strong>in</strong>g<br />
each census section at national or at regional (Autonomous Community) level. For<br />
each one <strong>of</strong> these two levels, 5 synthetic Indexes are provided: Global criteria<br />
Classification, Sociodemographic criteria Classification, Socioeconomic criteria<br />
Classification, Hous<strong>in</strong>g criteria Classification <strong>and</strong> Subjective perception criteria<br />
Classification.<br />
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METHODOLOGY AND CONTENTS. PAG. 3
Moreover, users can customize their own analysis, overlapp<strong>in</strong>g symbolic<br />
representations <strong>of</strong> up to 30 <strong>of</strong> the most important quantitative features releted to<br />
<strong>vulnerability</strong> (population, dwell<strong>in</strong>gs, etc) to the coropleth maps.<br />
For an optimal visualization <strong>of</strong> the text <strong>in</strong> the web, it is recommended to adjust<br />
the screen resolution to a m<strong>in</strong>imum <strong>of</strong> 1.280x1.024 pixels.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 4
2. METHODOLOGY AND CONTENTS.<br />
DOMAIN 1: URBAN VULNERABILITY INDICATORS.<br />
This doma<strong>in</strong> conta<strong>in</strong>s 21 thematic maps, correspond<strong>in</strong>g to 20+1 1 Urban Vulnerability<br />
Indicators, grouped <strong>in</strong> four chapters: Sociodemographic Vulnerability (5 <strong>in</strong>dicators),<br />
Socioeconomic Vulnerability (5+1 <strong>in</strong>dicators), Hous<strong>in</strong>g Vulnerability (5 <strong>in</strong>dicators) <strong>and</strong><br />
Subjective perception Vulnerability (5 <strong>in</strong>dicators). Its <strong>methodology</strong> is described below.<br />
Out <strong>of</strong> these 21 <strong>in</strong>dicators, 3 are considered to be Basic Indicators <strong>of</strong> Urban<br />
Vulnerability (BIUV): Percentage <strong>of</strong> unemployed population, Percentage <strong>of</strong> illiterate<br />
(or without basic education) population, <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs<br />
without toilet or WC. These three <strong>in</strong>dicators are the ones used <strong>in</strong> the Urban Analysis<br />
<strong>of</strong> Vulnerable Neighbourhoods <strong>in</strong> Spa<strong>in</strong> (based on the 1991 <strong>and</strong> 2001 Censuses) for<br />
the identification <strong>of</strong> vulnerable neighbourhoods, when the value <strong>of</strong> these <strong>in</strong>dicators <strong>in</strong><br />
the Census sections <strong>in</strong>cluded <strong>in</strong> the vulnerable neighbourhood- is above certa<strong>in</strong><br />
reference value with respect to the average national value 2 .<br />
For each one <strong>of</strong> the 20+1 <strong>in</strong>dicators, the thematic maps show the values <strong>of</strong> the<br />
<strong>in</strong>dicator <strong>of</strong> the Census sections visualized <strong>in</strong> the screen grouped <strong>in</strong> quantiles (equal<br />
count) <strong>of</strong> 5 ranges (each <strong>of</strong> them with a similar number <strong>of</strong> Census section, which can<br />
be seen <strong>in</strong>side the brackets). The user can customize by different means (manually, or<br />
us<strong>in</strong>g the Jenks (K-Means), multiples <strong>of</strong> the st<strong>and</strong>ard deviation, or logarithm+multiples<br />
<strong>of</strong> the st<strong>and</strong>ard deviation methods) the number <strong>of</strong> ranges <strong>and</strong> the threshold values to<br />
1 Two <strong>in</strong>dicators referr<strong>in</strong>g to the Percentage <strong>of</strong> unemployed young population are presented,<br />
us<strong>in</strong>g different methodologies: (7) Percentage <strong>of</strong> unemployed young population <strong>and</strong> (7.2)<br />
Percentage <strong>of</strong> unemployed young population (2).<br />
2 The <strong>vulnerability</strong> reference value <strong>in</strong> regards to the <strong>in</strong>dicators Percentage <strong>of</strong> unemployed<br />
population <strong>and</strong> Percentage <strong>of</strong> illiterate (or without basic education) population is established<br />
when the value <strong>of</strong> the <strong>in</strong>dicator is 50% above the national average value. In the case <strong>of</strong> the<br />
Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC, the <strong>vulnerability</strong> reference value is<br />
the double <strong>of</strong> the national average value.<br />
The Percentage <strong>of</strong> unemployed population <strong>in</strong> Spa<strong>in</strong> <strong>in</strong> 2001 Census was 14.20%. Thus,<br />
the reference value for identify<strong>in</strong>g <strong>urban</strong> <strong>vulnerability</strong> is considered to be 21.30% (28%<br />
<strong>in</strong> 1991).<br />
The Percentage <strong>of</strong> illiterate (or without basic education) population <strong>in</strong> Spa<strong>in</strong> <strong>in</strong> 2001<br />
Census was 15.30%.Thus, the reference value for identify<strong>in</strong>g <strong>urban</strong> <strong>vulnerability</strong> is<br />
considered to be 22.95% (28% <strong>in</strong> 1991).<br />
The Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC <strong>in</strong> Spa<strong>in</strong> <strong>in</strong> 2001 Census<br />
was 1.00%. Thus, the reference value for identify<strong>in</strong>g <strong>urban</strong> <strong>vulnerability</strong> is considered to<br />
be 2.00%. In 1991 the reference values were: 2% without toilet, 3% without WC <strong>and</strong> 5%<br />
without bath or shower (as they were not aggregated <strong>in</strong> just one s<strong>in</strong>gle <strong>in</strong>dicator).<br />
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METHODOLOGY AND CONTENTS. PAG. 5
e represented. It is recommended, for example, to choose the threshold values <strong>of</strong> the<br />
new ranges referr<strong>in</strong>g to the values <strong>of</strong> each <strong>in</strong>dicator <strong>in</strong> Spa<strong>in</strong> <strong>and</strong> its multiples 3 .<br />
All the <strong>in</strong>dicators have been calculated us<strong>in</strong>g data available from the Population <strong>and</strong><br />
Hous<strong>in</strong>g Census <strong>of</strong> 2001, carried by the National Statistics Institute (Instituto Nacional<br />
de Estadística: INE). There follows a description <strong>of</strong> the calculation <strong>methodology</strong> used<br />
for each Indicator, <strong>and</strong> the values correspond<strong>in</strong>g to Spa<strong>in</strong> for each <strong>of</strong> them:<br />
SOCIODEMOGRAPHIC VUL NERABILITY.<br />
(1) Percentage <strong>of</strong> elderly people aged 75 or more.<br />
Percentage <strong>of</strong> elderly people aged 75 or more, out <strong>of</strong> the total population. (%).<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 7.40%.<br />
(2) Percentage <strong>of</strong> households with only one person aged 64 or more.<br />
Percentage <strong>of</strong> households formed by only one person aged 64 or more, out <strong>of</strong><br />
the total number <strong>of</strong> households. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 9.60%.<br />
(3) Percentage <strong>of</strong> households with only one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or<br />
more persons under 18 years old.<br />
Percentage <strong>of</strong> households with only one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or more<br />
persons under 18 years old, out <strong>of</strong> the total number <strong>of</strong> households. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 1.99%.<br />
(4) Percentage <strong>of</strong> foreign population.<br />
Percentage <strong>of</strong> population with foreign nationality, out <strong>of</strong> the total population. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 3.80%.<br />
(5) Percentage <strong>of</strong> foreign child population.<br />
Percentage <strong>of</strong> population under 15 years old, with foreign nationality, out <strong>of</strong> the<br />
total population under 15 years old. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 3.60%.<br />
SOCIOECONOMIC VULNERABILITY.<br />
(6) Percentage <strong>of</strong> unemployed population. (Basic Indicator <strong>of</strong> Urban<br />
Vulnerability).<br />
Percentage <strong>of</strong> the population aged 16 or more <strong>in</strong> situation <strong>of</strong> unemployment, out<br />
<strong>of</strong> the total economically active population aged 16 or more. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 14.20%.<br />
3 For example, <strong>in</strong> the case <strong>of</strong> consider<strong>in</strong>g 4 ranges, it is suggested to use the follow<strong>in</strong>g thresholds:<br />
values under half <strong>of</strong> the value <strong>of</strong> the <strong>in</strong>dicator for Spa<strong>in</strong>; values between the half <strong>and</strong> the value <strong>of</strong> the<br />
<strong>in</strong>dicator for Spa<strong>in</strong>; values between the value for Spa<strong>in</strong> <strong>and</strong> its double; <strong>and</strong> values above the double<br />
<strong>of</strong> the value for Spa<strong>in</strong>.<br />
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(7) Percentage <strong>of</strong> unemployed young population.<br />
Percentage <strong>of</strong> the population between 16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong><br />
unemployment, out <strong>of</strong> the total economically active population between 16 <strong>and</strong><br />
29 years old. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 19.98%.<br />
(7.2) Percentage <strong>of</strong> unemployed young population (2).<br />
Percentage <strong>of</strong> the population between 16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong><br />
unemployment, out <strong>of</strong> the total population between 16 <strong>and</strong> 29 years old. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 12.31%.<br />
(8) Percentage <strong>of</strong> cont<strong>in</strong>gent workers.<br />
Percentage <strong>of</strong> persons <strong>in</strong> employment with a cont<strong>in</strong>gent job, out <strong>of</strong> the total<br />
employed population. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 27.51%.<br />
(9) Percentage <strong>of</strong> workers without qualification.<br />
Percentage <strong>of</strong> persons <strong>in</strong> employment without qualification or with low<br />
qualification, out <strong>of</strong> the total population <strong>in</strong> employment.<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 12.20%.<br />
(10) Percentage <strong>of</strong> illiterate (or without basic education) population. (Basic<br />
Indicator <strong>of</strong> Urban Vulnerability).<br />
Percentage <strong>of</strong> illiterate (or without basic education) population aged 16 or more,<br />
out <strong>of</strong> the total population aged 16 or more. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 15.30%.<br />
HOUSING VULNERABILITY.<br />
(11) Percentage <strong>of</strong> dwell<strong>in</strong>gs with less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g area.<br />
Percentage <strong>of</strong> familiy dwell<strong>in</strong>gs with less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g area, out<br />
<strong>of</strong> the total number <strong>of</strong> familiy dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 0.40%.<br />
(12) Average effective liv<strong>in</strong>g area by <strong>in</strong>habitant (m²).<br />
Average effective liv<strong>in</strong>g area by <strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs. (m²)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 31.0%.<br />
(13) Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC. (Basic Indicator<br />
<strong>of</strong> Urban Vulnerability).<br />
Percentage <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs without toilet or WC, out <strong>of</strong><br />
the total population <strong>in</strong> family dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 1.00%.<br />
(14) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient build<strong>in</strong>gs.<br />
Percentage <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient build<strong>in</strong>gs, out <strong>of</strong> the total<br />
number <strong>of</strong> family dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 2.10 %.<br />
(15) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built before 1951<br />
Percentage <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built before 1951, out <strong>of</strong> the total<br />
number <strong>of</strong> family dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 17.70 %.<br />
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SUBJETIVE PERCEPTION VULNERABILITY.<br />
(16) Percentage <strong>of</strong> population with external noises problems.<br />
Percentage <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs whose reference person<br />
considers that the dwell<strong>in</strong>g is affected by a problem <strong>of</strong> external noises, out <strong>of</strong><br />
the total population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 31.18%.<br />
(17) Percentage <strong>of</strong> population with air pollution problems <strong>in</strong> the neighbourhood.<br />
Percentage <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs whose reference person<br />
considers that the dwell<strong>in</strong>g is affected by air pollution, smoke or bad smells<br />
com<strong>in</strong>g from <strong>in</strong>dustry, traffic, etc., out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 19.89%.<br />
(18) Percentage <strong>of</strong> population with bad transport /communication <strong>in</strong>frastructures<br />
problem.<br />
Percentage <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs whose reference person<br />
considers that the dwell<strong>in</strong>g is affected by a problem <strong>of</strong> bad<br />
transport/communication <strong>in</strong>frastructures, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 14.72%.<br />
(19) Percentage <strong>of</strong> population with lack <strong>of</strong> green open spaces problem.<br />
Percentage <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs whose reference person<br />
considers that the surround<strong>in</strong>gs <strong>of</strong> the dwell<strong>in</strong>g have a lack <strong>of</strong> green open<br />
spaces (parks, gardens), out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs.<br />
(%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 37.40%.<br />
(20) Percentage <strong>of</strong> population with del<strong>in</strong>quency problems <strong>in</strong> the neighbourhood.<br />
Percentage <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs whose reference person<br />
considers that the neighbourhood has a problem <strong>of</strong> del<strong>in</strong>quency or v<strong>and</strong>alism,<br />
out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs. (%)<br />
The value <strong>in</strong> Spa<strong>in</strong> (2001) is: 22.74%.<br />
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DOMAIN 2: CONTEXTUAL ANALYSIS OF URBAN VULNERABILITY<br />
INDICATORS.<br />
This doma<strong>in</strong> allows mak<strong>in</strong>g contextual analysis maps, compar<strong>in</strong>g the 20+1 Urban<br />
Vulnerability Indicators <strong>of</strong> each Census Section (or m<strong>in</strong>imum population unit) with the<br />
municipal, regional (Autonomous Communities) or national context. It is possible to<br />
represent the number <strong>of</strong> times that the value <strong>of</strong> each <strong>in</strong>dicator <strong>in</strong> the Census Section is<br />
above or below the value <strong>of</strong> the same <strong>in</strong>dicator <strong>in</strong> the municipality, the region<br />
(Autonomous Community) or the national value.<br />
For each <strong>of</strong> these comparison contexts (municipality, regional Autonomous<br />
Community- or national), the maps represent the number <strong>of</strong> times that the value (%) <strong>of</strong><br />
each <strong>in</strong>dicator for the Census Section is above or below the comparison value (%) for<br />
the municipality, the region or the national value for Spa<strong>in</strong>, grouped <strong>in</strong> 5 categories:<br />
· >1 (Census sections <strong>in</strong> which the value <strong>of</strong> the chosen <strong>in</strong>dicator is one time<br />
above the comparison value municipal, regional or national-);<br />
· Between 0.5 <strong>and</strong> 1(Census sections <strong>in</strong> which the value <strong>of</strong> the chosen <strong>in</strong>dicator<br />
is between 0.5 <strong>and</strong> 1 times above the comparison value municipal, regional or<br />
national);<br />
· Between 0 <strong>and</strong> 0.5 (Census sections <strong>in</strong> which the value <strong>of</strong> the chosen <strong>in</strong>dicator<br />
is between 0 <strong>and</strong> 0.5 times above the comparison value municipal, regional or<br />
national);<br />
· =0 (Census sections <strong>in</strong> which the value <strong>of</strong> the chosen <strong>in</strong>dicator is exactly the<br />
same <strong>of</strong> the comparison value municipal, regional or national);<br />
· Between 0 <strong>and</strong> -0.5 (Census sections <strong>in</strong> which the value <strong>of</strong> the chosen <strong>in</strong>dicator<br />
is between 0 <strong>and</strong> 0.5 times under the comparison value municipal, regional or<br />
national);<br />
· < -0.5 (Census sections <strong>in</strong> which the value <strong>of</strong> the chosen <strong>in</strong>dicator is under 1<br />
time the comparison value municipal, regional or national).<br />
All the <strong>in</strong>dicators provided have been calculated by the M<strong>in</strong>istry <strong>of</strong> Public works, us<strong>in</strong>g<br />
the data available from the Population <strong>and</strong> Hous<strong>in</strong>g Census <strong>of</strong> 2001, carried by the<br />
National Statistics Institute (Instituto Nacional de Estadística: INE).<br />
COMPARISON WITH MUNICIPAL VALUES.<br />
(21) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> elderly people aged 75 or more.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> elderly people aged 75<br />
or more, out <strong>of</strong> the total population, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(22) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> households with only one person aged 64 or<br />
more.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> households formed by<br />
only one person aged 64 or more, out <strong>of</strong> the total number <strong>of</strong> households, <strong>in</strong> the<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 9
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the<br />
municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(23) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> households with only one adult (s<strong>in</strong>gle-parent)<br />
<strong>and</strong> a one or more persons under 18 years old.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> households with only<br />
one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or more persons under 18 years old, out <strong>of</strong><br />
the total number <strong>of</strong> households, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(24) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> foreign population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population with foreign<br />
nationality, out <strong>of</strong> the total population, <strong>in</strong> the Census section is above or under<br />
the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(25) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> foreign child population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population under 15<br />
years old, with foreign nationality, out <strong>of</strong> the total population under 15 years old,<br />
<strong>in</strong> the Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong><br />
the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(26) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> unemployed population. (Basic Indicator <strong>of</strong><br />
Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population aged 16<br />
or more <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total economically active<br />
population aged 16 or more, <strong>in</strong> the Census section is above or under the value<br />
<strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 10
(27) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> unemployed young population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population between<br />
16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total economically<br />
active population between 16 <strong>and</strong> 29 years old, <strong>in</strong> the Census section is above<br />
or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(27.2) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> unemployed young population (2).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population between<br />
16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total population<br />
between 16 <strong>and</strong> 29 years old, <strong>in</strong> the Census section is above or under the value<br />
<strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(28) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> cont<strong>in</strong>gent workers.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> persons <strong>in</strong> employment<br />
with a cont<strong>in</strong>gent job, out <strong>of</strong> the total employed population, <strong>in</strong> the Census<br />
section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(29) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> workers without qualification.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> persons <strong>in</strong> employment<br />
without qualification or with low qualification, out <strong>of</strong> the total population <strong>in</strong><br />
employment, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(30) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> Illiterate (or without basic education)<br />
population. (Basic Indicator <strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> illiterate (or without<br />
basic education) population aged 16 or more, out <strong>of</strong> the total population aged<br />
16 or more, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 11
(31) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> dwell<strong>in</strong>gs with less than 30 m² <strong>of</strong> effective<br />
liv<strong>in</strong>g area.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> familiy dwell<strong>in</strong>gs with<br />
less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g area, out <strong>of</strong> the total number <strong>of</strong> familiy<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(32) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Average effective liv<strong>in</strong>g area per <strong>in</strong>habitant (m²).<br />
Number <strong>of</strong> times that the average effective liv<strong>in</strong>g area by <strong>in</strong>habitant <strong>in</strong> family<br />
dwell<strong>in</strong>gs. (m²) <strong>in</strong> the Census section is above or under the average effective<br />
liv<strong>in</strong>g area by <strong>in</strong>habitant (m²) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the average effective liv<strong>in</strong>g area<br />
by <strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs (m²) <strong>in</strong> the Census section <strong>and</strong> the average<br />
value <strong>of</strong> the same <strong>in</strong>dicator (m²) <strong>in</strong> the municipality, by the average effective<br />
liv<strong>in</strong>g area by <strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs (m²) <strong>in</strong> the municipality.<br />
(33) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC.<br />
(Basic Indicator <strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs without toilet or WC, out <strong>of</strong> the total population <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(34) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient build<strong>in</strong>gs.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong><br />
ru<strong>in</strong>ed or deficient build<strong>in</strong>gs, out <strong>of</strong> the total number <strong>of</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the<br />
municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(35) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built before 1951.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong><br />
build<strong>in</strong>gs built before 1951, out <strong>of</strong> the total number <strong>of</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the<br />
municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 12
(36) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> population with external noises problems.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by a problem <strong>of</strong> external noises, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(37) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> population with air pollution problems <strong>in</strong> the<br />
neighbourhood.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by air pollution, smoke or bad smells com<strong>in</strong>g from <strong>in</strong>dustry, traffic, etc., out <strong>of</strong><br />
the total population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or<br />
under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(38) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> population with bad transport /communication<br />
<strong>in</strong>frastructures problem.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by a problem <strong>of</strong> bad transport/communication <strong>in</strong>frastructures, out <strong>of</strong> the total<br />
population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
(39) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> population with lack <strong>of</strong> green open spaces<br />
problem.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%)<strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the surround<strong>in</strong>gs <strong>of</strong> the<br />
dwell<strong>in</strong>g have a lack <strong>of</strong> green open spaces (parks, gardens), out <strong>of</strong> the total<br />
population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 13
(40) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the<br />
municipality <strong>of</strong> the) Percentage <strong>of</strong> population with del<strong>in</strong>quency problems <strong>in</strong> the<br />
neighbourhood.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the neighbourhood has<br />
a problem <strong>of</strong> del<strong>in</strong>quency or v<strong>and</strong>alism, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality,<br />
by the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the municipality.<br />
COMPARISON WITH REGIONAL VALUES (CC.AA: ATONOMOUS COMMUNITIES).<br />
(41) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> elderly people aged 75 or more.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> elderly people aged 75<br />
or more, out <strong>of</strong> the total population, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(42) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> households with only one<br />
person aged 64 or more.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> households formed by<br />
only one person aged 64 or more, out <strong>of</strong> the total number <strong>of</strong> households, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the<br />
region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(43) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> households with only one adult<br />
(s<strong>in</strong>gle-parent) <strong>and</strong> a one or more persons under 18 years old.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> households with only<br />
one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or more persons under 18 years old, out <strong>of</strong><br />
the total number <strong>of</strong> households, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(44) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> foreign population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population with foreign<br />
nationality, out <strong>of</strong> the total population, <strong>in</strong> the Census section is above or under<br />
the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
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It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(45) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> foreign child population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population under 15<br />
years old, with foreign nationality, out <strong>of</strong> the total population under 15 years old,<br />
<strong>in</strong> the Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong><br />
the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(46) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> unemployed population. (Basic<br />
Indicator <strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population aged 16<br />
or more <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total economically active<br />
population aged 16 or more, <strong>in</strong> the Census section is above or under the value<br />
<strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(47) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> unemployed young population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population between<br />
16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total economically<br />
active population between 16 <strong>and</strong> 29 years old, <strong>in</strong> the Census section is above<br />
or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous<br />
Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(47.2) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region<br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> unemployed young population<br />
(2).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population between<br />
16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total population<br />
between 16 <strong>and</strong> 29 years old, <strong>in</strong> the Census section is above or under the value<br />
<strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(48) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> cont<strong>in</strong>gent workers.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> persons <strong>in</strong> employment<br />
with a cont<strong>in</strong>gent job, out <strong>of</strong> the total employed population, <strong>in</strong> the Census<br />
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section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the region<br />
(Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(49) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> workers without qualification.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> persons <strong>in</strong> employment<br />
without qualification or with low qualification, out <strong>of</strong> the total population <strong>in</strong><br />
employment, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(50) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> Illiterate (or without basic<br />
education) population. (Basic Indicator <strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> illiterate (or without<br />
basic education) population aged 16 or more, out <strong>of</strong> the total population aged<br />
16 or more, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(51) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> dwell<strong>in</strong>gs with less than 30 m² <strong>of</strong><br />
effective liv<strong>in</strong>g area.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> familiy dwell<strong>in</strong>gs with<br />
less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g area, out <strong>of</strong> the total number <strong>of</strong> familiy<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(52) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Average effective liv<strong>in</strong>g area per <strong>in</strong>habitant<br />
(m²).<br />
Number <strong>of</strong> times that the average effective liv<strong>in</strong>g area by <strong>in</strong>habitant <strong>in</strong> family<br />
dwell<strong>in</strong>gs. (m²) <strong>in</strong> the Census section is above or under the average effective<br />
liv<strong>in</strong>g area by <strong>in</strong>habitant (m²) <strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the average effective liv<strong>in</strong>g area<br />
by <strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs (m²) <strong>in</strong> the Census section <strong>and</strong> the average<br />
value <strong>of</strong> the same <strong>in</strong>dicator (m²) <strong>in</strong> the region (Autonomous Community), by the<br />
average effective liv<strong>in</strong>g area by <strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs (m²) <strong>in</strong> the region<br />
(Autonomous Community).<br />
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(53) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without<br />
toilet or WC. (Basic Indicator <strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs without toilet or WC, out <strong>of</strong> the total population <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(54) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient<br />
build<strong>in</strong>gs.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong><br />
ru<strong>in</strong>ed or deficient build<strong>in</strong>gs, out <strong>of</strong> the total number <strong>of</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the<br />
region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(55) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built<br />
before 1951.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong><br />
build<strong>in</strong>gs built before 1951, out <strong>of</strong> the total number <strong>of</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the<br />
region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(56) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> population with external noises<br />
problems.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by a problem <strong>of</strong> external noises, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(57) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> population with air pollution<br />
problems <strong>in</strong> the neighbourhood.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by air pollution, smoke or bad smells com<strong>in</strong>g from <strong>in</strong>dustry, traffic, etc., out <strong>of</strong><br />
the total population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or<br />
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under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous<br />
Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(58) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> population with bad transport<br />
/communication <strong>in</strong>frastructures problem.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by a problem <strong>of</strong> bad transport/communication <strong>in</strong>frastructures, out <strong>of</strong> the total<br />
population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(59) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> population with lack <strong>of</strong> green<br />
open spaces problem.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%)<strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the surround<strong>in</strong>gs <strong>of</strong> the<br />
dwell<strong>in</strong>g have a lack <strong>of</strong> green open spaces (parks, gardens), out <strong>of</strong> the total<br />
population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
(60) (Comparison between the Census section value <strong>and</strong> the value <strong>in</strong> the region <br />
Autonomous Community- <strong>of</strong> the) Percentage <strong>of</strong> population with del<strong>in</strong>quency<br />
problems <strong>in</strong> the neighbourhood.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the neighbourhood has<br />
a problem <strong>of</strong> del<strong>in</strong>quency or v<strong>and</strong>alism, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%)<strong>in</strong> the region (Autonomous Community).<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region, by the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> the region (Autonomous Community).<br />
COMPARISON WITH NATIONAL VALUES.<br />
(61) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> elderly people aged 75 or more.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> elderly people aged 75<br />
or more, out <strong>of</strong> the total population, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
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(62) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> households with only one person aged 64 or more.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> households formed by<br />
only one person aged 64 or more, out <strong>of</strong> the total number <strong>of</strong> households, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(63) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> households with only one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or<br />
more persons under 18 years old.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> households with only<br />
one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or more persons under 18 years old, out <strong>of</strong><br />
the total number <strong>of</strong> households, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(64) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> foreign population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population with foreign<br />
nationality, out <strong>of</strong> the total population, <strong>in</strong> the Census section is above or under<br />
the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(65) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> foreign child population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population under 15<br />
years old, with foreign nationality, out <strong>of</strong> the total population under 15 years old,<br />
<strong>in</strong> the Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (% )<strong>in</strong><br />
Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(66) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> unemployed population. (Basic Indicator <strong>of</strong> Urban<br />
Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population aged 16<br />
or more <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total economically active<br />
population aged 16 or more, <strong>in</strong> the Census section is above or under the value<br />
<strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 19
(67) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> unemployed young population.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population between<br />
16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total economically<br />
active population between 16 <strong>and</strong> 29 years old, <strong>in</strong> the Census section is above<br />
or under the value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(67.2) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> unemployed young population (2).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> the population between<br />
16 <strong>and</strong> 29 years old <strong>in</strong> situation <strong>of</strong> unemployment, out <strong>of</strong> the total population<br />
between 16 <strong>and</strong> 29 years old, <strong>in</strong> the Census section is above or under the value<br />
<strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(68) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> cont<strong>in</strong>gent workers.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> persons <strong>in</strong> employment<br />
with a cont<strong>in</strong>gent job, out <strong>of</strong> the total employed population, <strong>in</strong> the Census<br />
section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(69) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> workers without qualification.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> persons <strong>in</strong> employment<br />
without qualification or with low qualification, out <strong>of</strong> the total population <strong>in</strong><br />
employment, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(70) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> Illiterate (or without basic education) population. (Basic<br />
Indicator <strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> illiterate (or without<br />
basic education) population aged 16 or more, out <strong>of</strong> the total population aged<br />
16 or more, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 20
(71) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> dwell<strong>in</strong>gs with less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g area.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs with<br />
less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g area, out <strong>of</strong> the total number <strong>of</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(72) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Average effective liv<strong>in</strong>g area per <strong>in</strong>habitant (m²).<br />
Number <strong>of</strong> times that the average effective liv<strong>in</strong>g area by <strong>in</strong>habitant <strong>in</strong> family<br />
dwell<strong>in</strong>gs. (m²) <strong>in</strong> the Census section is above or under the average effective<br />
liv<strong>in</strong>g area by <strong>in</strong>habitant (m²) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the average effective liv<strong>in</strong>g area<br />
by <strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs (m²) <strong>in</strong> the Census section <strong>and</strong> the average<br />
value <strong>of</strong> the same <strong>in</strong>dicator (m²) <strong>in</strong> Spa<strong>in</strong>, by the average effective liv<strong>in</strong>g area by<br />
<strong>in</strong>habitant <strong>in</strong> family dwell<strong>in</strong>gs (m²) <strong>in</strong> Spa<strong>in</strong>.<br />
(73) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC. (Basic Indicator<br />
<strong>of</strong> Urban Vulnerability).<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs without toilet or WC, out <strong>of</strong> the total population <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(74) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient build<strong>in</strong>gs.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong><br />
ru<strong>in</strong>ed or deficient build<strong>in</strong>gs, out <strong>of</strong> the total number <strong>of</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(75) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built before 1951.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> family dwell<strong>in</strong>gs <strong>in</strong><br />
build<strong>in</strong>gs built before 1951, out <strong>of</strong> the total number <strong>of</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the<br />
Census section is above or under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 21
(76) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> population with external noises problems.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by a problem <strong>of</strong> external noises, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(77) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> population with air pollution problems <strong>in</strong> the neighbourhood.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by air pollution, smoke or bad smells com<strong>in</strong>g from <strong>in</strong>dustry, traffic, etc., out <strong>of</strong><br />
the total population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or<br />
under the value <strong>of</strong> the same <strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(78) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> population with bad transport /communication <strong>in</strong>frastructures<br />
problem.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the dwell<strong>in</strong>g is affected<br />
by a problem <strong>of</strong> bad transport/communication <strong>in</strong>frastructures, out <strong>of</strong> the total<br />
population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(79) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> population with lack <strong>of</strong> green open spaces problem.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%)<strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the surround<strong>in</strong>gs <strong>of</strong> the<br />
dwell<strong>in</strong>g have a lack <strong>of</strong> green open spaces (parks, gardens), out <strong>of</strong> the total<br />
population liv<strong>in</strong>g <strong>in</strong> family dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the<br />
value <strong>of</strong> the same <strong>in</strong>dicator (%)<strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
(80) (Comparison between the Census section value <strong>and</strong> the national value <strong>of</strong><br />
the) Percentage <strong>of</strong> population with del<strong>in</strong>quency problems <strong>in</strong> the neighbourhood.<br />
Number <strong>of</strong> times that the value <strong>of</strong> the percentage (%) <strong>of</strong> population liv<strong>in</strong>g <strong>in</strong><br />
family dwell<strong>in</strong>gs whose reference person considers that the neighbourhood has<br />
a problem <strong>of</strong> del<strong>in</strong>quency or v<strong>and</strong>alism, out <strong>of</strong> the total population liv<strong>in</strong>g <strong>in</strong> family<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 22
dwell<strong>in</strong>gs, <strong>in</strong> the Census section is above or under the value <strong>of</strong> the same<br />
<strong>in</strong>dicator (%) <strong>in</strong> Spa<strong>in</strong>.<br />
It is calculated divid<strong>in</strong>g the difference between the value <strong>of</strong> the <strong>in</strong>dicator (%) <strong>in</strong><br />
the Census section <strong>and</strong> the national value <strong>of</strong> the same <strong>in</strong>dicator (%), by the<br />
national value <strong>of</strong> the same <strong>in</strong>dicator (%).<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 23
DOMAIN 3: URBAN INEQUITY INDEXES.<br />
Two synthetic Inequity Indexes are provided, calculated comb<strong>in</strong><strong>in</strong>g the 3 Basic<br />
Indicators <strong>of</strong> Urban Vulnerability (BIUV): IDS (Index <strong>of</strong> Socioeconomic Inequity) <strong>and</strong><br />
IDU (Index <strong>of</strong> Urban Inequity). Each <strong>of</strong> them can be referred to the municipality, the<br />
region (Autonomous Community) or to Spa<strong>in</strong>.<br />
This doma<strong>in</strong> provides two (synthetic) Inequity Indexes, calculated from the 3 Basic<br />
Indicators <strong>of</strong> Urban Vulnerability (BIUV): IDS (Index <strong>of</strong> Socioeconomic Inequity) <strong>and</strong><br />
IDU (Index <strong>of</strong> Urban Inequity). Each <strong>of</strong> these <strong>in</strong>dices can be referenced to the<br />
municipality, the region (Autonomous Community) or to Spa<strong>in</strong>.<br />
First <strong>of</strong> all, the 3 Basic Indicators <strong>of</strong> Urban Vulnerability (BIUV) <strong>of</strong> each Census section<br />
are st<strong>and</strong>ardized us<strong>in</strong>g the "chi square" method. Depend<strong>in</strong>g on the context they are<br />
referred to (the municipality, the Autonomous Community or Spa<strong>in</strong>), the st<strong>and</strong>ardization<br />
is carried with respect to the respective values <strong>of</strong> the <strong>in</strong>dicator for the municipality, for<br />
the autonomous region, or for Spa<strong>in</strong>. This means that for each Census section the<br />
st<strong>and</strong>ardized value <strong>of</strong> each Basic Urban Vulnerability Indicator (BIUV) is calculated<br />
divid<strong>in</strong>g the square <strong>of</strong> the difference between the value <strong>of</strong> the BIUV for the Census<br />
section <strong>and</strong> the BIUV value for the municipality, the Autonomous Community or for<br />
Spa<strong>in</strong>, divided by the BIUV value for the municipality, the Autonomous Community or<br />
for Spa<strong>in</strong>.<br />
St<strong>and</strong>ardized value <strong>of</strong> each BIUV us<strong>in</strong>g the chi-square method <strong>in</strong> each Census section<br />
<strong>in</strong> respect to the municipality, the Autonomous Community or Spa<strong>in</strong> =<br />
(BIUV Value <strong>in</strong> the Census section BIUV Value <strong>in</strong> the municipality, the Autonomous<br />
Community or Spa<strong>in</strong>) 2 / (BIUV Value <strong>in</strong> the municipality, the Autonomous Community or<br />
Spa<strong>in</strong>).<br />
Once the values are st<strong>and</strong>ardized, then a logarithmic transformation is applied to adjust<br />
their distribution, by the calculation <strong>of</strong> its base 10 logarithm.<br />
F<strong>in</strong>ally, IDS, the Index <strong>of</strong> Socioeconomic Inequity, is obta<strong>in</strong>ed by the addition <strong>of</strong> the<br />
Basic Indicators <strong>of</strong> Urban Vulnerability (BIUV) "Percentage <strong>of</strong> unemployed population"<br />
<strong>and</strong> Percentage <strong>of</strong> illiterate (or without basic education) population, once<br />
st<strong>and</strong>ardized us<strong>in</strong>g the chi-square method <strong>and</strong> then applied a logarithmic<br />
transformation to adjust their distribution.<br />
IDU, the Index <strong>of</strong> Urban Inequity, is obta<strong>in</strong>ed by the addition <strong>of</strong> the 3 Basic Urban<br />
Vulnerability Indicators (BIUV) "Percentage <strong>of</strong> unemployed population", Percentage <strong>of</strong><br />
illiterate (or without basic education) population <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong><br />
dwell<strong>in</strong>gs without toilet or WC), once st<strong>and</strong>ardized us<strong>in</strong>g the chi-square method <strong>and</strong><br />
then applied a logarithmic transformation to adjust their distribution.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 24
IDS: INDEXES OF SOCIOECONOM IC INEQUITY.<br />
(81) IDSM: Index <strong>of</strong> Socioeconomic Inequity at Municipal level.<br />
IDSM is the result <strong>of</strong> the addition <strong>of</strong> the Percentage <strong>of</strong> unemployed population<br />
<strong>and</strong> Percentage <strong>of</strong> illiterate (or without basic education) population (Basic<br />
Indicators <strong>of</strong> Urban Vulnerability), once they have been st<strong>and</strong>ardised with<br />
respect to their respective municipal values us<strong>in</strong>g the chi-square method, <strong>and</strong><br />
applied a logarithm transformation to adjust their distribution.<br />
(82) IDSR: Index <strong>of</strong> Socioeconomic Inequity at Regional level.<br />
IDSR is the result <strong>of</strong> the addition <strong>of</strong> the Percentage <strong>of</strong> unemployed population<br />
<strong>and</strong> Percentage <strong>of</strong> illiterate (or without basic education) population (Basic<br />
Indicators <strong>of</strong> Urban Vulnerability), once they have been st<strong>and</strong>ardised with<br />
respect to the values <strong>of</strong> their respective region (Autonomous Communities)<br />
us<strong>in</strong>g the chi-square method, <strong>and</strong> applied a logarithm transformation to adjust<br />
their distribution.<br />
(83) IDSN: Index <strong>of</strong> Socioeconomic Inequity at National level.<br />
IDSN is the result <strong>of</strong> the addition <strong>of</strong> the Percentage <strong>of</strong> unemployed population<br />
<strong>and</strong> Percentage <strong>of</strong> illiterate (or without basic education) population (Basic<br />
Indicators <strong>of</strong> Urban Vulnerability), once they have been st<strong>and</strong>ardised with<br />
respect to the national values us<strong>in</strong>g the chi-square method, <strong>and</strong> applied a<br />
logarithm transformation to adjust their distribution.<br />
IDU: INDEX OF URBAN INEQUITY.<br />
(84) IDUM: Index <strong>of</strong> Urban Inequity at Municipal level.<br />
IDUM is the result <strong>of</strong> the addition <strong>of</strong> the 3 Basic Indicators <strong>of</strong> Urban Vulnerability<br />
(Percentage <strong>of</strong> unemployed population, Percentage <strong>of</strong> illiterate (or without<br />
basic education) population <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without<br />
toilet or WC), once they have been st<strong>and</strong>ardised with respect to their<br />
respective municipal values us<strong>in</strong>g the chi-square method, <strong>and</strong> applied a<br />
logarithm transformation to adjust their distribution.<br />
(85) IDUR: Index <strong>of</strong> Urban Inequity at Regional level.<br />
IDUR is the result <strong>of</strong> the addition <strong>of</strong> the 3 Basic Indicators <strong>of</strong> Urban Vulnerability<br />
(Percentage <strong>of</strong> unemployed population, Percentage <strong>of</strong> illiterate (or without<br />
basic education) population <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without<br />
toilet or WC), once they have been st<strong>and</strong>ardised with respect to the values <strong>of</strong><br />
their respective region (Autonomous Communities) us<strong>in</strong>g the chi-square<br />
method, <strong>and</strong> applied a logarithm transformation to adjust their distribution.<br />
(86) IDUN: Index <strong>of</strong> Urban Inequity at National level.<br />
IDUN is the result <strong>of</strong> the addition <strong>of</strong> the 3 Basic Indicators <strong>of</strong> Urban Vulnerability<br />
(Percentage <strong>of</strong> unemployed population, Percentage <strong>of</strong> illiterate (or without<br />
basic education) population <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong> dwell<strong>in</strong>gs without<br />
toilet or WC), once they have been st<strong>and</strong>ardised with respect to the national<br />
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values us<strong>in</strong>g the chi-square method, <strong>and</strong> applied a logarithm transformation to<br />
adjust their distribution.<br />
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DOMAIN 4: URBAN VULNERABILITY SYNTHETIC INDEXES (MULTIPLE<br />
CRITERIA CLASSIFICATION)<br />
Multiple Criteria classification <strong>of</strong>fers synthetic Indexes <strong>of</strong> Vulnerability compos<strong>in</strong>g<br />
different simple <strong>vulnerability</strong> <strong>in</strong>dicators, which <strong>in</strong> our case are 20 +1, grouped <strong>in</strong>to four<br />
thematic categories. Multiple Criteria classification is an alternative method to<br />
traditional synthetic Indexes obta<strong>in</strong>ed by the def<strong>in</strong>ition <strong>of</strong> scalar type functions that<br />
comb<strong>in</strong>e the various <strong>in</strong>dicators <strong>of</strong> <strong>vulnerability</strong> by assign<strong>in</strong>g a proportional weight to<br />
each one <strong>of</strong> the <strong>in</strong>dicators 4 .<br />
The existence <strong>in</strong> the Atlas <strong>of</strong> 4 thematic categories <strong>of</strong> <strong>vulnerability</strong> <strong>in</strong>dicators, <strong>of</strong>fers the<br />
possibility to organise 4 thematic classifications for the partial subsets <strong>of</strong> criteria<br />
(Sociodemographic criteria Classification, Socioeconomic criteria Classification,<br />
Hous<strong>in</strong>g criteria Classification <strong>and</strong> Subjective perception criteria Classification) <strong>and</strong> a<br />
Global criteria Classification, encompass<strong>in</strong>g the 20 <strong>in</strong>dicators <strong>of</strong> <strong>vulnerability</strong><br />
considered.<br />
ISVU-SD, Sociodemographic criteria Classification, <strong>in</strong>cludes the set <strong>of</strong> the 5<br />
sociodemographic <strong>in</strong>dicators: (1) Percentage <strong>of</strong> elderly people aged 75 or more,<br />
(2) Percentage <strong>of</strong> households with only one person aged 64 or more, (3)<br />
Percentage <strong>of</strong> households with only one adult (s<strong>in</strong>gle-parent) <strong>and</strong> a one or more<br />
persons under 18 years old, (4) Percentage <strong>of</strong> foreign population, <strong>and</strong> (5)<br />
Percentage <strong>of</strong> foreign child population.<br />
ISVU-SE, Socioeconomic criteria Classification, <strong>in</strong>cludes a set <strong>of</strong> 5<br />
socioeconomic <strong>in</strong>dicators: (6) Percentage <strong>of</strong> unemployed population. (Basic<br />
Indicator <strong>of</strong> Urban Vulnerability), (7) Percentage <strong>of</strong> unemployed young<br />
population, (8) Percentage <strong>of</strong> cont<strong>in</strong>gent workers, (9) Percentage <strong>of</strong> workers<br />
without qualification, <strong>and</strong> (10) Percentage <strong>of</strong> illiterate (or without basic<br />
education) population. (Basic Indicator <strong>of</strong> Urban Vulnerability).<br />
ISVU-R, Hous<strong>in</strong>g criteria Classification, <strong>in</strong>cludes the set <strong>of</strong> the 5 residential<br />
<strong>in</strong>dicators: (11) Percentage <strong>of</strong> dwell<strong>in</strong>gs with less than 30 m² <strong>of</strong> effective liv<strong>in</strong>g<br />
area, (12) Average effective liv<strong>in</strong>g area by <strong>in</strong>habitant (m²), (13) Percentage <strong>of</strong><br />
population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC. (Basic Indicator <strong>of</strong> Urban<br />
Vulnerability), (14) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient build<strong>in</strong>gs, <strong>and</strong><br />
(15) Percentage <strong>of</strong> dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built before 1951.<br />
ISVUN-S, Subjective perception criteria Classification, <strong>in</strong>cludes the set <strong>of</strong> the 5<br />
subjective <strong>in</strong>dicators: (16) Percentage <strong>of</strong> population with external noises<br />
problems, (17) Percentage <strong>of</strong> population with air pollution problems <strong>in</strong> the<br />
neighbourhood, (18) Percentage <strong>of</strong> population with bad transport<br />
/communication <strong>in</strong>frastructures problem, (19) Percentage <strong>of</strong> population with lack<br />
<strong>of</strong> green open spaces problem, <strong>and</strong> (20) Percentage <strong>of</strong> population with<br />
del<strong>in</strong>quency problems <strong>in</strong> the neighbourhood.<br />
4 The problem with this type <strong>of</strong> functions is precisely the subjectivity that exists <strong>in</strong> the<br />
assignment <strong>of</strong> "proportional weights" to each <strong>in</strong>dicator. Multiple Criteria classification allows to<br />
overcome this problem.<br />
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ISVUN-G, Global criteria Classification, <strong>in</strong>cludes the whole set <strong>of</strong> the 20 <strong>urban</strong><br />
<strong>vulnerability</strong> <strong>in</strong>dicators.<br />
The maps <strong>in</strong>cluded <strong>in</strong> this doma<strong>in</strong> represent the position <strong>of</strong> each Spanish Census<br />
section classified accord<strong>in</strong>g to one <strong>of</strong> these five possible Multiple Criteria<br />
classifications. Tak<strong>in</strong>g <strong>in</strong>to account that each classification is performed on two<br />
different universes (classify<strong>in</strong>g every Census section with respect to the regional <br />
Autonomous Community- or national context), there are 10 maps available.<br />
From the methodological po<strong>in</strong>t <strong>of</strong> view, the Multiple Criteria classification consists <strong>in</strong><br />
group<strong>in</strong>g the elements <strong>of</strong> a set <strong>in</strong>to equivalence classes or ranges, attend<strong>in</strong>g to the<br />
value <strong>of</strong> p <strong>in</strong>dicators or magnitudes, assign<strong>in</strong>g the same global value to each <strong>of</strong> the<br />
element <strong>of</strong> each class or range.<br />
The classification <strong>of</strong> a set <strong>of</strong> elements by an <strong>in</strong>dicator or criterion A, is different from the<br />
classifications established by the criterion or <strong>in</strong>dicators C <strong>and</strong> B. Thus, an element "a"<br />
can be placed before another element "b" if classified us<strong>in</strong>g A <strong>in</strong>dicator, but placed<br />
beh<strong>in</strong>d when us<strong>in</strong>g <strong>in</strong>dicators B or C. Multiple criteria classification method establishes,<br />
<strong>in</strong> a mathematical way, groups <strong>of</strong> elements which are "not worse" with<strong>in</strong> each other.<br />
This means that they situated <strong>in</strong> positions or ranges, accord<strong>in</strong>g to different criteria,<br />
which do not establish if they are "better" or "worse" accord<strong>in</strong>g to this criteria than<br />
those <strong>in</strong> the same position, but certa<strong>in</strong>ly not worse than others situated <strong>in</strong> a lower<br />
position.<br />
Thus, let C be a f<strong>in</strong>ite set, <strong>in</strong> which each <strong>and</strong> every one <strong>of</strong> its elements can have p<br />
scalar values V1,. . . , Vp, assigned. Each <strong>of</strong> these values represents the performance<br />
<strong>of</strong> the element considered regard<strong>in</strong>g a certa<strong>in</strong> criterion. From now, we will assume that<br />
one element is most suitable accord<strong>in</strong>g to the i criterion when the value Vi is highest.<br />
For any a, b ϵ C, we will say that a is strictly preferible than b or a dom<strong>in</strong>ates b-,<br />
a b, if <strong>and</strong> only if Vi(a) Vi(b) for i ϵ {1, 2, . . . , p} <strong>and</strong> also Ǝj such that Vj(a) > Vj (b).<br />
This means that a is not worse than b under any criterion <strong>of</strong> the whole set considered<br />
<strong>and</strong>, also, a is strictly better than b under a certa<strong>in</strong> criterion j.<br />
To calculate the ranges or classes <strong>of</strong> equivalence, consider<strong>in</strong>g a set <strong>of</strong> elements C<br />
<strong>and</strong> a set <strong>of</strong> criteria or characteristics P, the follow<strong>in</strong>g recursive algorithm has to be<br />
applied:<br />
1. C1 C, i 1.<br />
2. The optimal class or range for P is composed <strong>of</strong> every element a ϵ Ci, for which are<br />
there not other element b ϵ Ci, such as b a. Let Oi be such a class or range, then:<br />
a) If Oi=Ci, the sets O1, ...., Oi are the ranges or classes <strong>of</strong> equivalences<br />
looked for: END.<br />
b) In any other case, Ci+1=Ci-Oi, i i+1, repeat 2.<br />
For each one <strong>of</strong> the 5 set <strong>of</strong> criteria considered (Sociodemographic, Socioeconomic,<br />
Hous<strong>in</strong>g, Subjective or Global) <strong>and</strong> for each <strong>of</strong> the two possible universes (Spa<strong>in</strong>, or<br />
the respective Autonomous Community), the maps represent the value <strong>of</strong> the<br />
respective Urban Vulnerability Synthetic Index (ISVU) for each set <strong>of</strong> criteria, <strong>in</strong> a rank<br />
between 0 <strong>and</strong> 1.<br />
The <strong>methodology</strong> for the calculation <strong>of</strong> the ISVU <strong>of</strong> each Census section, for each set<br />
<strong>of</strong> criteria considered (G: global, SD: sociodemographic, SE: socioeconomic, R:<br />
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hous<strong>in</strong>g or S: subjective perception) <strong>and</strong> for each <strong>of</strong> the two universes <strong>of</strong> comparison<br />
(N: Spa<strong>in</strong>, or R: the respective Autonomous Community), is based on a vectorial<br />
classification us<strong>in</strong>g the recursive algorithm already described, with the c set <strong>of</strong> criteria,<br />
result<strong>in</strong>g <strong>in</strong> the establishment <strong>of</strong> equivalence classes or ranges. If C is the total number<br />
<strong>of</strong> classes <strong>and</strong> k is the class <strong>of</strong> the Census section i, its Urban Vulnerability Synthetic<br />
Index (ISVU) is:<br />
ISVUi=(C-k+1)/C be<strong>in</strong>g ISVUi ϵ [1/C , 1]<br />
The rank <strong>of</strong> ISVU is between 0 <strong>and</strong> 1, be<strong>in</strong>g 0 less vulnerable <strong>and</strong> 1 more vulnerable.<br />
MULTIPLE CRITERIA CL ASSIFICATION AT NATIONAL LEVEL.<br />
(87) ISVUN-G: Global criteria Classification.<br />
ISVUN-G: Urban Vulnerability Synthetic Index. Multiple criteria Global<br />
classification at national level accord<strong>in</strong>g to the complete set <strong>of</strong> the 20 Urban<br />
Vulnerability Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(88) ISVUN-SD: Sociodemographic criteria Classification.<br />
ISVUN-SD: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
national level accord<strong>in</strong>g to the set <strong>of</strong> 5 Sociodemographic Vulnerability<br />
Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(89) ISVUN-SE: Socioeconomic criteria Classification.<br />
ISVUN-SE: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
national level accord<strong>in</strong>g to the set <strong>of</strong> 5 Socioeconomic Vulnerability Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(90) ISVUN-R: Hous<strong>in</strong>g criteria Classification.<br />
ISVUN-R: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
national level accord<strong>in</strong>g to the set <strong>of</strong> 5 Hous<strong>in</strong>g Vulnerability Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(91) ISVUN-S: Subjective perception criteria Classification.<br />
ISVUN-S: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
national level accord<strong>in</strong>g to the set <strong>of</strong> 5 Subjective perception Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
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MULTIPLE CRITERIA C LASSIFICATION AT REGIONAL LEVEL (CC.AA.)<br />
(92) ISVUR-G: Global criteria Classification.<br />
ISVUR-G: Urban Vulnerability Synthetic Index. Multiple criteria Global<br />
classification at regional level accord<strong>in</strong>g to the complete set <strong>of</strong> the 20 Urban<br />
Vulnerability Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(93) ISVUR-SD: Sociodemographic criteria Classification.<br />
ISVUR-SD: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
regional level accord<strong>in</strong>g to the set <strong>of</strong> 5 Sociodemographic Vulnerability<br />
Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(94) ISVUR-SE: Socioeconomic criteria Classification.<br />
ISVUR-SE: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
regional level accord<strong>in</strong>g to the set <strong>of</strong> 5 Socioeconomic Vulnerability Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(95) ISVUN-R: Hous<strong>in</strong>g criteria Classification.<br />
ISVUN-R: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
regional level accord<strong>in</strong>g to the set <strong>of</strong> 5 Hous<strong>in</strong>g Vulnerability Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
(96) ISVUR-S: Subjective perception criteria Classification.<br />
ISVUR-S: Urban Vulnerability Synthetic Index. Multiple criteria classification at<br />
regional level accord<strong>in</strong>g to the set <strong>of</strong> 5 Subjective perception Indicators.<br />
(Rank between 0=less vulnerable <strong>and</strong> 1=more vulnerable).<br />
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INFORMATION CONTAINED IN SYMBOLS TAB.<br />
Symbols tab allows users to represent different magnitudes (ma<strong>in</strong>ly population,<br />
households or houses) <strong>in</strong> each Census section through symbols, overlay<strong>in</strong>g the<br />
symbolic representation over the coropleth representation.<br />
The source <strong>of</strong> the data is the INE, National Statistics Institute: Population <strong>and</strong> Hous<strong>in</strong>g<br />
Census 2001.<br />
The magnitudes that can be represented are also grouped <strong>in</strong> 4 doma<strong>in</strong>s:<br />
Sociodemographic <strong>vulnerability</strong>:<br />
Population.<br />
Population aged 75 or more.<br />
Households.<br />
Households with only one person aged 64 or more.<br />
S<strong>in</strong>gle-parent households.<br />
Foreign population.<br />
Population under 15 years old.<br />
Foreign population under 15 years old.<br />
Socioeconomic <strong>vulnerability</strong>:<br />
Economically active population aged 16 or more.<br />
Economically active population between 16 <strong>and</strong> 29 years old.<br />
Population 16-29 years old <strong>in</strong> situation <strong>of</strong> unemployment.<br />
Population 16-19 years old.<br />
Employed population.<br />
Persons <strong>in</strong> employment with a cont<strong>in</strong>gent job.<br />
Persons <strong>in</strong> employment without qualification.<br />
Population aged 16 or more.<br />
Illiterate population aged 16 or more.<br />
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Hous<strong>in</strong>g <strong>vulnerability</strong>:<br />
Family dwell<strong>in</strong>gs.<br />
Dwell<strong>in</strong>gs with less than 30 m2 <strong>of</strong> effective liv<strong>in</strong>g area.<br />
Residents <strong>in</strong> family dwell<strong>in</strong>gs.<br />
Population <strong>in</strong> dwell<strong>in</strong>gs without toilet or WC.<br />
Dwell<strong>in</strong>gs <strong>in</strong> ru<strong>in</strong>ed or deficient build<strong>in</strong>gs.<br />
Dwell<strong>in</strong>gs <strong>in</strong> build<strong>in</strong>gs built before 1951.<br />
Subjective perception <strong>vulnerability</strong>:<br />
Residents <strong>in</strong> family dwell<strong>in</strong>gs.<br />
Population with external noises problem.<br />
Population with air pollution problems.<br />
Population with bad transport/communication problems.<br />
Population with lack <strong>of</strong> green open spaces problem.<br />
Population with del<strong>in</strong>quency problems.<br />
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3. WORKING TEAM CREDITS.<br />
ARGEA Consultores SL.<br />
Director:<br />
-Pablo Fidalgo García, geographer.<br />
Work<strong>in</strong>g Team:<br />
- Elisa Suárez Antón, sociologist.<br />
- Julián Bueno Risco, geographer.<br />
- Agustín Martín Esp<strong>in</strong>osa, geographer.<br />
Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
-Mariano Vázquez Espí, architect <strong>and</strong> pr<strong>of</strong>fesor at Madrid School <strong>of</strong><br />
Architecture. Madrid Polytechnic University.<br />
M<strong>in</strong>istry <strong>of</strong> Public Works:<br />
General Director for Architecture, Hous<strong>in</strong>g <strong>and</strong> L<strong>and</strong>.<br />
- María Pilar Martínez López, General Director for Architecture, Hous<strong>in</strong>g <strong>and</strong><br />
L<strong>and</strong>.<br />
General Director <strong>of</strong> L<strong>and</strong> <strong>and</strong> Urban Policies. .<br />
-Félix Arias Goytre, architect, General Director <strong>of</strong> L<strong>and</strong> <strong>and</strong> Urban Policies.<br />
Deputy Director <strong>of</strong> Urban Policies.<br />
- Ángela de la Cruz Mera, Deputy Director <strong>of</strong> Urban Policies.<br />
Deputy Director <strong>of</strong> L<strong>and</strong> Policy.<br />
- María Dolores Aguado, Deputy Director <strong>of</strong> L<strong>and</strong> Policy.<br />
Director <strong>and</strong> coord<strong>in</strong>ator <strong>of</strong> the work<strong>in</strong>g team:<br />
- Eduardo de Santiago Rodríguez, architect, Techical Advisor on L<strong>and</strong> <strong>and</strong><br />
Urban Policies.<br />
Informatics Coord<strong>in</strong>ator:<br />
- Juan Luis Quesada Peña, Technical Advisor <strong>of</strong> the Deputy Direction <strong>of</strong> L<strong>and</strong><br />
Policy.<br />
Database elaboration:<br />
-Elisa Suárez Antón.<br />
-Eduardo de Santiago Rodríguez (supervision).<br />
Multiple Criteria Classification:<br />
-Mariano Vázquez Espí, architect <strong>and</strong> pr<strong>of</strong>fesor at Madrid School <strong>of</strong><br />
Architecture. Madrid Polytechnic University.<br />
Atlas <strong>of</strong> <strong>urban</strong> <strong>vulnerability</strong> <strong>in</strong> Spa<strong>in</strong> tool development:<br />
-Elisa Suárez Antón.<br />
-Julián Bueno Risco.<br />
-Eduardo de Santiago Rodríguez (texts, direction <strong>and</strong> supervision).<br />
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Cartography development:<br />
-Agustín Martín Esp<strong>in</strong>osa.<br />
-Julián Bueno Risco.<br />
Informatics Coord<strong>in</strong>ation:<br />
-Juan Luis Quesada Peña.<br />
-Julián Bueno Risco.<br />
Cartography <strong>of</strong> the ARIs <strong>and</strong> ARUs funded by the National Hous<strong>in</strong>g Plans:<br />
Team Director:<br />
- Agustín Hernández Aja, architect, Head <strong>of</strong> the Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
Departament. Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
Authors <strong>of</strong> the reports:<br />
- Agustín Hernández Aja, architect, Head <strong>of</strong> the Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
Department. Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Carol<strong>in</strong>a García Madruga, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Angela Matesanz Parellada, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Elena Moreno García, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid School<br />
<strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Iván rodríguez Suárez, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
Basic work<strong>in</strong>g team:<br />
- Carol<strong>in</strong>a García Madruga, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Angela Matesanz Parellada, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Elena Moreno García, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid School<br />
<strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Iván rodríguez Suárez, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Ana Díez Bermejo, architect <strong>and</strong> student at the Master <strong>in</strong> Urban Plann<strong>in</strong>g at<br />
Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Laura López Álvarez, architect <strong>and</strong> student at the Master <strong>in</strong> Urban Plann<strong>in</strong>g at<br />
Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Paula Maeso Sánchez, student <strong>of</strong> Architecture (Degree Project).<br />
- Gabriela Sánchez Calvete, student <strong>of</strong> Architecture (Degree Project).<br />
Coord<strong>in</strong>ation with the M<strong>in</strong>istry <strong>of</strong> Public Works:<br />
- Agustín Hernández Aja, architect, Head <strong>of</strong> the Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
Department. Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Fern<strong>and</strong>o Roch Peña, architect <strong>and</strong> pr<strong>of</strong>fesor <strong>of</strong> Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
at Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Angela Matesanz Parellada, architect <strong>and</strong> Master <strong>in</strong> Urban Plann<strong>in</strong>g at Madrid<br />
School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 34
Cartography <strong>of</strong> the Vulnerable Neighbourhoods <strong>in</strong>cluded <strong>in</strong> the Urban Analysis<br />
<strong>of</strong> Vulnerable Neighbourhoods is Spa<strong>in</strong> 2001.<br />
The works were carried dur<strong>in</strong>g 2009 <strong>and</strong> 2010 by the follow<strong>in</strong>g team:<br />
Team Director:<br />
- Agustín Hernández Aja, architect, Head <strong>of</strong> the Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
Departament. Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
Authors <strong>of</strong> the reports:<br />
- Agustín Hernández Aja, architect, Head <strong>of</strong> the Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
Department. Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Mariano Vázquez Espí, architect <strong>and</strong> pr<strong>of</strong>fesor at Madrid School <strong>of</strong> Architecture.<br />
Madrid Polytechnic University.<br />
- Fern<strong>and</strong>o Roch Peña, architect <strong>and</strong> pr<strong>of</strong>fesor <strong>of</strong> Urban <strong>and</strong> Regional Plann<strong>in</strong>g<br />
at Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Carol<strong>in</strong>a García Madruga, architect <strong>and</strong> student at the Urban Plann<strong>in</strong>g Master<br />
at Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Angela Matesanz Parellada, architect <strong>and</strong> student at the Urban Plann<strong>in</strong>g Master<br />
at Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Elena Moreno García, architect <strong>and</strong> student at the Urban Plann<strong>in</strong>g Master at<br />
Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Julio Alguacil, sociologist <strong>and</strong> pr<strong>of</strong>fesor at Universidad Carlos III, Madrid .<br />
- Javier Camacho, sociologist <strong>and</strong> pr<strong>of</strong>fesor at Universidad Carlos III, Madrid .<br />
Basic work<strong>in</strong>g team:<br />
- Carol<strong>in</strong>a García Madruga, architect <strong>and</strong> student at the Urban Plann<strong>in</strong>g Master<br />
at Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Laura López Álvarez, student <strong>of</strong> Architecture (Degree Project).<br />
- Ángela Matesanz Parellada, architect <strong>and</strong> student at the Urban Plann<strong>in</strong>g Master<br />
at Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Elena Moreno García, architect <strong>and</strong> student at the Urban Plann<strong>in</strong>g Master at<br />
Madrid School <strong>of</strong> Architecture. Madrid Polytechnic University.<br />
- Jacobo Peláez-Campomanes Guibert, student <strong>of</strong> Architecture (Degree Project).<br />
- Gabriela Sánchez Calvete, student <strong>of</strong> Architecture (Degree Project).<br />
- Gonzalo Sánchez-Toscano Salgado, student <strong>of</strong> Architecture (Degree Project).<br />
Acknowledgements:<br />
- INE. Instituto Nacional de Estadística.<br />
Montserrat García Vázquez<br />
Subdirección General de Difusión Estadística. INE.<br />
ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />
METHODOLOGY AND CONTENTS. PAG. 35