CatSalut · June snapshots · 2021–2026
Colonoscopy waiting times in Catalonia
Six years of public data, hospital by hospital. Explore patients waiting, average waiting time and trends using a consistent geography over time.
Public data made easier to explore
CatSalut publishes diagnostic-test waiting lists by centre. This page reorganises the June snapshot for each year to follow colonoscopy trends, compare hospitals and maintain a consistent geography when administrative divisions change.
This is not a ranking or an assessment of care. The number of patients waiting and the mean waiting time are different indicators and are shown separately.
Catalunya
Trend 2021–2026
The three charts use the same timeline. Hover over a point to see the exact value for each June snapshot.
Mean waiting time
-53 days vs 2021Procedures completed through June
+17,4% vs 2021Distribution by sex
Percentage of men and women among patients waiting in each annual snapshot. Each bar totals 100%.
MenWomen
Territory
Geographic distribution
To compare the territory consistently between 2021 and 2026, hospitals are grouped into 13 fixed geographic areas. The CatSalut health region published for each record is retained in the dataset.
Size = patients · colour = waiting days
Territoryal distribution
Indicative geographic diagram; the areas are not official administrative polygons.
81Barcelona ciutat170Badalona / Barcelonès Nord132Vallès Occidental40Baix Llobregat122Maresme93Penedès / Garraf / Anoia65Vallès Oriental65Camp de Tarragona84Lleida56Girona40Catalunya Central83Terres de l’Ebre33Alt Pirineu i Aran
shorter waitlonger wait
04575105150220+
Areas by number of patients
June 2026
Barcelona ciutat
6,137
81 d
Badalona / Barcelonès Nord
2,361
170 d
Vallès Occidental
2,344
132 d
Baix Llobregat
1,776
40 d
Maresme
1,333
122 d
Penedès / Garraf / Anoia
1,163
93 d
Vallès Oriental
1,072
65 d
Camp de Tarragona
1,057
65 d
Lleida
982
84 d
Girona
924
56 d
Catalunya Central
696
40 d
Terres de l’Ebre
280
83 d
Alt Pirineu i Aran
95
33 d
Hospitals
Volume and waiting time
Each point is a hospital. The horizontal axis shows days and the vertical axis shows patients waiting. Both axes keep the same scale in every year. Values above 300 days or 2,000 patients are pinned to the corresponding edge without compressing the rest of the chart.
Map and scatter plot share the selected year
Hospitals · 2026
Click any point to open its 2021–2026 trend.
colour = waiting time>300 days, pinned to edge>2,000 patients, pinned to edge
One or more centres over time
Trend by hospital
Select a hospital and add up to two more if required. The three charts use the same hospitals and colours to make comparisons easier.
Select a hospitalType part of a name —for example “Terrassa”, “Germans” or “Clínic”— and select a match from the list.
Compare trendsMain hospital + up to two additional centres.
Patients waiting
June snapshot for each year
Mean waiting time
Waiting days for pending patients
Procedures completed through June
Cumulative figure published in June
Full dataset
All data
View a specific year or switch to “Trend” to see six years for each hospital as sparklines. “Compare trend” sends the centre directly to the previous section.
| Compare | Hospital | Stable area | Waiting | Days | Procedures through June | Women | vs previous year |
|---|---|---|---|---|---|---|---|
| Barcelona ciutat | 4,378 | 93 | 4,526 | 53.9% | — | ||
| Badalona / Barcelonès Nord | 1,468 | 207 | 531 | 58.0% | — | ||
| Maresme | 1,044 | 142 | 788 | 48.6% | — | ||
| Vallès Occidental | 930 | 156 | 1,130 | 52.0% | — | ||
| Vallès Occidental | 773 | 150 | 886 | 55.1% | — | ||
| Badalona / Barcelonès Nord | 748 | 122 | 798 | 52.9% | — | ||
| Barcelona ciutat | 715 | 39 | 1,301 | 53.0% | — | ||
| Vallès Oriental | 694 | 70 | 665 | 53.5% | — | ||
| Vallès Occidental | 641 | 74 | 1,228 | 57.6% | — | ||
| Lleida | 557 | 76 | 530 | 52.6% | — | ||
| Baix Llobregat | 507 | 44 | 1,387 | 51.5% | — | ||
| Barcelona ciutat | 506 | 50 | 727 | 52.8% | — | ||
| Baix Llobregat | 503 | 34 | 1,334 | 58.6% | — | ||
| Baix Llobregat | 493 | 35 | 1,117 | 50.7% | — | ||
| Camp de Tarragona | 446 | 86 | 462 | 43.9% | — | ||
| Catalunya Central | 383 | 34 | 1,245 | 51.4% | — | ||
| Lleida | 354 | 77 | 334 | 54.0% | — | ||
| Penedès / Garraf / Anoia | 351 | 51 | 428 | 53.8% | — | ||
| Camp de Tarragona | 340 | 23 | 1,233 | 52.9% | — | ||
| Girona | 299 | 53 | 686 | 49.2% | — | ||
| Maresme | 289 | 50 | 865 | 51.2% | — | ||
| Penedès / Garraf / Anoia | 279 | 67 | 365 | 62.0% | — | ||
| Penedès / Garraf / Anoia | 267 | 151 | 459 | 46.8% | — | ||
| Penedès / Garraf / Anoia | 266 | 119 | 342 | 42.1% | — | ||
| Barcelona ciutat | 256 | 110 | 994 | 50.0% | — | ||
| Catalunya Central | 233 | 43 | 729 | 57.9% | — | ||
| Girona | 228 | 67 | 476 | 56.6% | — | ||
| Vallès Oriental | 222 | 41 | 443 | 59.9% | — | ||
| Terres de l’Ebre | 207 | 52 | 548 | 60.4% | — | ||
| Camp de Tarragona | 197 | 100 | 315 | 57.4% | — | ||
| Girona | 177 | 70 | 768 | 52.5% | — | ||
| Barcelona ciutat | 175 | 36 | 317 | 53.7% | — | ||
| Vallès Oriental | 156 | 78 | 353 | 48.7% | — | ||
| Badalona / Barcelonès Nord | 145 | 38 | 242 | 61.4% | — | ||
| Girona | 142 | 39 | 560 | 52.1% | — | ||
| Baix Llobregat | 138 | 40 | 753 | 59.4% | — | ||
| Baix Llobregat | 135 | 61 | 227 | 46.7% | — | ||
| Barcelona ciutat | 86 | 23 | 315 | 50.0% | — | ||
| Catalunya Central | 80 | 59 | 190 | 51.3% | — | ||
| Camp de Tarragona | 74 | 38 | 346 | 54.1% | — | ||
| Lleida | 71 | 176 | 103 | 40.8% | — | ||
| Terres de l’Ebre | 55 | 151 | 52 | 49.1% | — | ||
| Girona | 40 | 26 | 162 | 52.5% | — | ||
| Girona | 38 | 48 | 131 | 42.1% | — | ||
| Alt Pirineu i Aran | 34 | 44 | 56 | 50.0% | — | ||
| Alt Pirineu i Aran | 24 | 27 | 120 | 62.5% | — | ||
| Barcelona ciutat | 21 | 60 | 189 | 61.9% | — | ||
| Alt Pirineu i Aran | 19 | 26 | 70 | 63.2% | — | ||
| Alt Pirineu i Aran | 18 | 26 | 115 | 55.6% | — | ||
| Terres de l’Ebre | 15 | 66 | 58 | 13.3% | — | ||
| Terres de l’Ebre | 3 | 1052 | 0 | 0.0% | — |
Methodology
How the data were prepared
The visualisation preserves the official totals and documents the transformations needed to compare six years consistently.
One annual snapshot: June
Only records for Colonoscòpia for June 2021, 2022, 2023, 2024, 2025 and 2026. This keeps the point in the year constant and supports a consistent year-on-year comparison.
The representativeness of June was checked against available March, September and December snapshots for 2022–2024 and March 2025. Across Catalonia, June is generally close to the average of the annual snapshots reviewed and preserves a highly consistent relative ordering of hospitals.
Stable geographic areas
CatSalut changed its territorial organisation during the period —for example, by creating the Penedès Health Region. Using those regions directly would introduce administrative breaks into the time series.
Each hospital is therefore assigned to one of 13 fixed areas. Area totals sum patients and procedures hospital by hospital; waiting time is aggregated using the number of patients waiting as weights. The CatSalut region published each year is retained in the dataset.
What each figure means
- Patients waiting: people recorded on the waiting list in the published snapshot.
- Mean waiting time: mean waiting time of pending patients, in days.
- Procedures completed through June: cumulative figure within the year through the June snapshot. Comparisons always use the same period.
- Sex: percentage of men and women on the pending list.
Source, visual exclusions and limitations
La font és la publicació oficial de CatSalut diagnostic-procedure waiting lists. This page is an independent visualisation and does not replace the official source.
Clínica Salus Infirmorum is not shown in hospital visualizations because it appears only once in the series, with one patient in June 2023. The record remains in the source dataset and official totals.
The data do not report new entries to the list, clinical priorities, referrals, room availability or the causes of changes. The page therefore describes the series without attributing causality.
Catalonia totals are the totals published by CatSalut for each June snapshot.
Normalisation changes names and geographic groupings where necessary for comparison, but does not alter the published values.
How to interpret these data
This visualisation is based on public data published by CatSalut from the healthcare waiting-list system (LES). Figures reflect information reported and updated by the centres and may be subject to later corrections or data-quality incidents communicated by CatSalut.
Urgent diagnostic procedures are not included in this monitoring. Scheduling is prioritised according to clinical and social circumstances, including severity, the risk associated with delay and other clinical criteria. A hospital’s mean waiting time is therefore an aggregate figure: it does not predict an individual patient’s wait or assess quality of care.
Prioritisation of diagnostic procedures·Data quality·How the figures are calculated