Registered unemployment: Lloret de Mar
Latest value, 2026-08
1,067persons
Definition
Job seekers registered as unemployed at public employment offices on the last working day of the month.
Administrative count, available down to municipality. Not the survey-based unemployment rate.
Evolution
Value
| Period | Value |
|---|---|
| 2026-08 | 1,067 |
| 2026-07 | 1,016 |
| 2026-06 | 1,015 |
| 2026-05 | 1,046 |
| 2026-04 | 1,081 |
| 2026-03 | 1,179 |
| 2026-02 | 1,255 |
| 2026-01 | 1,267 |
| 2025-12 | 1,307 |
| 2025-11 | 1,335 |
| 2025-10 | 1,232 |
| 2025-09 | 1,090 |
| 2025-08 | 1,078 |
| 2025-07 | 1,049 |
| 2025-06 | 1,052 |
| 2025-05 | 1,133 |
| 2025-04 | 1,208 |
| 2025-03 | 1,331 |
| 2025-02 | 1,388 |
| 2025-01 | 1,431 |
| 2024-12 | 1,465 |
| 2024-11 | 1,464 |
| 2024-10 | 1,385 |
| 2024-09 | 1,238 |
| 2024-08 | 1,169 |
| 2024-07 | 1,144 |
| 2024-06 | 1,150 |
| 2024-05 | 1,208 |
| 2024-04 | 1,255 |
| 2024-03 | 1,297 |
| 2024-02 | 1,391 |
| 2024-01 | 1,400 |
| 2023-12 | 1,415 |
| 2023-11 | 1,419 |
| 2023-10 | 1,305 |
| 2023-09 | 1,217 |
| 2023-08 | 1,157 |
| 2023-07 | 1,158 |
| 2023-06 | 1,191 |
| 2023-05 | 1,259 |
| 2023-04 | 1,325 |
| 2023-03 | 1,442 |
| 2023-02 | 1,504 |
| 2023-01 | 1,534 |
| 2022-12 | 1,517 |
| 2022-11 | 1,491 |
| 2022-10 | 1,382 |
| 2022-09 | 1,523 |
| 2022-08 | 1,341 |
| 2022-07 | 1,359 |
| 2022-06 | 1,375 |
| 2022-05 | 1,542 |
| 2022-04 | 1,722 |
| 2022-03 | 1,951 |
| 2022-02 | 2,054 |
| 2022-01 | 2,091 |
| 2021-12 | 2,043 |
| 2021-11 | 2,102 |
| 2021-10 | 2,036 |
| 2021-09 | 1,898 |
Comparison with related places
| Place | 2026-08 |
|---|---|
| Lloret de Mar | 1,067 |
| Girona province | 27,646 |
| Catalonia | 329,168 |
| Spain | 2,352,221 |
| Blanes | 1,843 |
| Olot | 1,367 |
| Figueres | 2,386 |
| Salt | 1,771 |
| Palafrugell | 663 |
How to cite
Servicio Público de Empleo Estatal (SEPE). Paro registrado por municipios. https://sede.sepe.gob.es/es/portaltrabaja/resources/sede/datos_abiertos/datos/Paro_por_municipios_2026_csv.csv. Retrieved 2026-10-08.
Get this figure from your agent
Call get_value through the MCP server or the REST API.
get_value {"indicator":"registered_unemployment","place":"es-mun-17095"}
GET https://invokely.ai/api/v1/value?indicator=registered_unemployment&place=es-mun-17095