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Bibliographic Details
Main Authors: de Beascoa Miserachs, Arena, Esteve Nebot, Clara, Pascual Palacios, Pablo
Format: Recurso digital
Language:Spanish
Published: Zenodo 2026
Subjects:
Online Access:https://doi.org/10.5281/zenodo.18847407
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Table of Contents:
  • <p><em><strong>Municipal-level Government Aid, Flood (DANA) Impacts, Unemployment, and 2023 Election Results — Province of Valencia (Spain)</strong></em></p> <h3>Description</h3> <p>This dataset compiles <strong>municipality-level information for the Province of Valencia (València), Spain</strong>, combining:</p> <ol> <li> <p><strong>government aid records</strong> requested, granted, and paid in relation to damages associated with the <strong>DANA flood event (29/10/2024)</strong>,</p> </li> <li> <p><strong>unemployment totals</strong> before and after the event (2022 vs. 2024),</p> </li> <li> <p><strong>hydrological risk classification</strong> and the associated <strong>watercourse/tributary</strong> affecting each area, and</p> </li> <li> <p><strong>political context</strong> from the <strong>2023 municipal elections</strong>, including party acronyms, vote counts, and the <strong>governing party and government type</strong> (simple majority, absolute majority, or coalition).</p> </li> </ol> <p>The dataset is structured at the <strong>municipality–party</strong> level for election variables (i.e., each municipality can appear in multiple rows—one per party list—while municipality-level attributes such as population, area, unemployment, risk, and aid amounts may repeat across those rows).</p> <h3>Purpose and potential uses</h3> <p>The dataset can be used to:</p> <ul> <li> <p>analyze the relationship between <strong>disaster risk/impact</strong> and <strong>public funding (requested vs granted vs paid)</strong>,</p> </li> <li> <p>compare <strong>labor-market conditions</strong> pre- and post-event,</p> </li> <li> <p>study potential associations between <strong>political outcomes</strong> and resource allocation,</p> </li> <li> <p>support geospatial or regional analysis by <strong>comarca</strong> within Valencia.</p> </li> </ul> <h3>Codebook</h3> <p><strong>ds_mun_expediente</strong> — Municipalities of the Province of Valencia<br><strong>ambito</strong> — Sector to which the aid is allocated<br><strong>tipo_beneficiario</strong> — Sector that will receive the requested aid (does not include beneficiary families)<br><strong>ds_prov_expediente</strong> — Province: Valencia<br><strong>ds_comarca</strong> — Districts (comarcas) of the Province of Valencia<br><strong>Importe_solicitado</strong> — Amount requested as aid due to the impacts of the DANA (>0)<br><strong>Importe_concedido</strong> — Amount granted as aid due to the impacts of the DANA<br><strong>Importe_pagado</strong> — Amount paid as aid due to the impacts of the DANA<br><strong>Total_parados22</strong> — Total number of unemployed citizens in 2022 (pre-DANA)<br><strong>Total_parados24</strong> — Total number of unemployed citizens in 2024 (post-DANA)<br><strong>riesgo_cauce</strong> — Risk (High, Medium, Low) of impact from the river channel on 29/10/2024<br><strong>cauce</strong> — Name of the river tributary affecting each area<br><strong>Candidatura_siglas</strong> — Acronyms of the political parties in the 2023 elections, referring to the government in office during the DANA<br><strong>Recuento_votos</strong> — Vote count received by each party<br><strong>Partido Político Gobernante</strong> — Party governing each municipality after the 2023 elections<br><strong>Población Estimada (2025)</strong> — Estimated population (2025)<br><strong>Área (km²)</strong> — Approximate area of each municipality<br><strong>Tipo de Gobierno</strong> — Includes simple majority, absolute majority, and coalition<br><strong>Ratio_Importes</strong> — Amount paid / Amount requested</p>