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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 />

ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />

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 />

ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />

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 />

ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />

METHODOLOGY AND CONTENTS. PAG. 6


(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 />

ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />

METHODOLOGY AND CONTENTS. PAG. 7


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 />

ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />

METHODOLOGY AND CONTENTS. PAG. 8


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 />

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(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 />

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(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 />

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(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

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