Temporal rank within the climatology, Kaloum
- Mean rank
- 55.9
- Lowest ranked
- January (91.4)
- Best ranked
- September (1.7)
- Year-to-year variability
- ± 6.21
- Values
- 60 months
One dot per month; rank 1 at the top.
Mean of each complete year, as a gap to the period mean (55.9 dimensionless).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 56.9 | 50.0 | 91.4 | 84.5 | 1.7 | 98.3 | 0.0 | 12.1 | 0.0 | 98.3 | 43.1 | 53.4 | 49.1 |
| 2024 | 81.0 | 77.6 | 70.7 | 94.8 | 12.1 | 50.0 | 0.0 | 0.0 | 0.0 | 36.2 | 100.0 | 94.8 | 51.4 |
| 2023 | 100.0 | 32.8 | 94.8 | 84.5 | 1.7 | 8.6 | 81.0 | 84.5 | 50.0 | 8.6 | 43.1 | 94.8 | 57.0 |
| 2022 | 91.4 | 81.0 | 53.4 | 91.4 | 39.7 | 84.5 | 12.1 | 1.7 | 1.7 | 81.0 | 87.9 | 53.4 | 56.6 |
| 2021 | 91.4 | 25.9 | 39.7 | 53.4 | 53.4 | 81.0 | 25.9 | 84.5 | 98.3 | 84.5 | 94.8 | 50.0 | 65.2 |
| Median | 91.4 | 50.0 | 70.7 | 84.5 | 12.1 | 81.0 | 12.1 | 12.1 | 1.7 | 81.0 | 87.9 | 53.4 | |
| P10 | 66.6 | 28.6 | 45.2 | 65.9 | 1.7 | 25.2 | 0.0 | 0.7 | 0.0 | 19.7 | 43.1 | 51.4 | |
| P90 | 96.6 | 79.7 | 93.4 | 93.4 | 47.9 | 92.8 | 59.0 | 84.5 | 79.0 | 92.8 | 97.9 | 94.8 | |
| Min. | 56.9 | 25.9 | 39.7 | 53.4 | 1.7 | 8.6 | 0.0 | 0.0 | 0.0 | 8.6 | 43.1 | 50.0 | |
| Max. | 100.0 | 81.0 | 94.8 | 94.8 | 53.4 | 98.3 | 81.0 | 84.5 | 98.3 | 98.3 | 100.0 | 94.8 |
CSV file
60 rows, 2 KB. Columns: period, value, unit, confidence level, status.
periode_type,annee_debut,annee_fin,mois,version_formule,valeur,unite,niveau_confiance,statut mensuel,2021,2021,1,1,91.3793,1,B,brut mensuel,2021,2021,2,1,25.8621,1,B,brut mensuel,2021,2021,3,1,39.6552,1,B,brutDownload the CSV
API
The same series, versioned, with a free key.
curl -H "Authorization: Bearer kuma_votre_cle" \ "https://api.kumascience.com/v1/series/gin_conakry_rang_referentiel_temporel_kuma_calculs_2021_2025?format=csv"
Python
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/conakry_kaloum/rang_referentiel_temporel.csv" df = pd.read_csv(url) df.head()
Notes
- Source
- Kuma Science, Internal calculations layer
- Method
- Kuma-derived computation
- Unit
- dimensionless
- Time step
- Monthly
- Period
- 2021-01-01 - 2025-12-31
- Kuma qualification
- Acceptable qualification, series derived by computation
- Source licence
- Licence à vérifier auprès de la source amont avant réutilisation.
- Kuma licence
- CC-BY 4.0, DOI 10.5281/zenodo.21051755
Cite this series
Kuma Science (2026). Temporal rank within the climatology, Kaloum (Guinea), 2021-2025. Kuma computation series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_conakry_rang_referentiel_temporel_kuma_calculs_2021_2025
@misc{kuma_gin_conakry_rang_referentiel_temporel_kuma_calculs_2021_2025,
author = {{Kuma Science}},
title = {Temporal rank within the climatology, Kaloum (Guinea), 2021-2025},
year = {2026},
howpublished = {Kuma computation series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_conakry_rang_referentiel_temporel_kuma_calculs_2021_2025},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Temporal rank within the climatology, Kaloum (Guinea), 2021-2025 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_conakry_rang_referentiel_temporel_kuma_calculs_2021_2025 N1 - Kuma computation ER -
Also cite the primary source, whose licence applies to the published values.
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