REACHOUT. Shaping climate resilient cities

Part of EU Open Research Repository
Published June 16, 2025 | Version 1.1.0
Dataset Open

Characterisation of Social Vulnerability to the environmental hazard of heat in Logroño, and the surrounding La Rioja region in Spain, derived from national census and EU Copernicus datasets.

Authors/Creators

  • 1. University College Cork

Description

This dataset includes all input information for indicators that were used to derive social vulnerability and the overall processed data of the social vulnerability index score for Logroño, and the surrounding La Rioja region, Spain. The input variables used in this dataset come from the national census data for Spain and EU Copernicus data.

The social vulnerability indicators used in these datasets are based on research including a review of existing literature and the interpretation of factors affecting social vulnerability. Interpretation of some indicators are contestable and open to debate.

Technical info (English)

Raw census population and housing data, and the EU Copernicus impervious and tree cover data is not suitable for use within the vulnerability assessment. Instead, all these raw data are processed as z-scores. These z-score indicator columns are described below.

Two datasets were produced as outputs. The first dataset excludes the Copernicus impervious surface and tree cover indicators. The z-score indicators are:

Indicator Description

CCA,CPRO,CMUN,CDIS,CSEC

 Index related to each administrative area used by the census data.

early_childhood_boy

 Male children aged under 5 (0 - 4 years old).

early_childhood_girl

 Female children aged under 5 (0 - 4 years old).

age_middle_to_oldest_old_male

 Male population aged 75 years and over (75+ years old).

age_middle_to_oldest_old_female

 Female population aged 75 years and over (75+ years old).

disability

 Population with a disability preventing work.

one_parent_households

 One parent household with children.

dependants

 Population who are dependants (under 16 years old).

unemployment

 Unemployed population.

attending_university

 Population attending university.

no_higher_education

 Population with no higher education.

foreign_nationals

 Foreign national population.

rented

 Household population who are renting.

primary_school_age

 Population who are not primary school aged.

one_person_households

 Household population occupied by one person only.

year_built

 Population who are living in dwellings built on or before 1970.

age

 Age domain based on the young and old indicators.
health

Health domain based on the disability indicator.
income Income domain based on the one_parent_households, dependants, and unemployment indicators.
info_access_use Information access/use domain based on the no_higher_education indicator.
local_knowledge Local knowledge domain linked to the foreign_nationals indicator.
tenure Tenure domain based on the households renting indicator.
social_network Social network domain based on the primary_school_age and one_person_households indicators.
housing_characteristics Housing characteristics domain based on the year_built indicators.
sensitivity Sensitivity dimension based on the age and health domains.

prepare

 Ability to prepare dimension based on the income, info_access_use, local_knowledge and tenure domains.
respond Ability to respond dimension based on the income, info_access_use, local_knowledge, and social_network domains.
recover Ability to recover dimension based on the income, info_access_use, social_network, and part housing_characteristics domains.
adaptive_capacity Adaptive capacity dimension based on the income, info_access_use, local_knowledge, social_network, and housing_characteristics domains.
social_vulnerability Social Vulnerability Index based on the integration of all the indicators.

 

The second dataset includes the above columns, plus the Copernicus impervious surface and tree cover densisty indicators. This adds the physical environment domain and enhanced exposure dimension based on these additional indicators. The updated Social Vulnerability Index is also recalculated to include these recalculated indicators. The new columns are, with the social_vulnerability being updated:

Indicator Description

tree_cover_density

 Indicator of tree cover.
impervious Indicator of impervious surfaces.

physical_environment

 Physical environment domain based on the tree_cover_density and impervious indicators.
enhanced_exposure Enhanced exposure dimension based on the physical_environment domain and housing_characteristics domains.
social_vulnerability Updated Social Vulnerability Index based on the integration of all the indicators.

 

 

Files

social_vulnerability_index_logrono_2021.csv

Files (3.5 MB)

Additional details

Funding

European Commission
REACHOUT - RESILIENCE IN EUROPE THROUGH ACTIVATING CITY HUBS REACHING OUT TO USERS WITH TRIPLE-A CLIMATE ADAPTATION TOOLS 101036599

Dates

Updated
2025-06-16
Dataset updated