Distribution
PM10 particulate matter, Beyla
- Mean
- 64.1 µg/m³
- Seasonal range
- 180.8 µg/m³
- Highest
- February (192.4)
- Lowest
- August (11.6)
- Year-to-year variability
- ± 4.30 (6.7 %)
- Values
- 1,704 days
Monthly means of the daily values.
- Period mean
- Month above its normal
- Month below
- 12-month moving average
Drag across the chart to zoom, double-click to reset.
For each month, over 4 years: median, low and high years (P10 to P90) and extreme values.
- Median
- Low and high years (P10 to P90)
- Extreme values (min. to max.)
Mean of each complete year, as a gap to the period mean (64.1 µg/m³).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 102.9 | 107.9 | 84.6 | 39.2 | 34.0 | 21.0 | 13.1 | 11.0 | — | — | — | — | — |
| 2024 | 200.1 | 216.3 | 100.6 | 54.5 | 37.9 | 27.8 | 14.5 | 10.2 | 9.7 | 20.4 | 42.3 | 113.1 | 70.6 |
| 2023 | 141.6 | 192.4 | 82.5 | 54.0 | 33.1 | 22.8 | 12.9 | 13.5 | 17.0 | 29.8 | 32.0 | 94.3 | 60.5 |
| 2022 | 162.7 | 185.7 | 173.9 | 45.8 | 34.0 | 23.8 | 18.9 | 11.6 | 12.9 | 35.2 | 30.1 | 79.8 | 67.9 |
| 2021 | 137.7 | 211.8 | 112.0 | 60.3 | 33.0 | 23.2 | 17.8 | 14.0 | 20.5 | 23.8 | 26.3 | 105.9 | 65.5 |
| Median | 141.6 | 192.4 | 100.6 | 54.0 | 34.0 | 23.2 | 14.5 | 11.6 | 15.0 | 26.8 | 31.1 | 100.1 | |
| P10 | 116.8 | 139.0 | 83.3 | 41.9 | 33.0 | 21.7 | 13.0 | 10.5 | 10.6 | 21.4 | 27.4 | 84.2 | |
| P90 | 185.2 | 214.5 | 149.2 | 58.0 | 36.4 | 26.2 | 18.4 | 13.8 | 19.5 | 33.5 | 39.3 | 110.9 | |
| Min. | 102.9 | 107.9 | 82.5 | 39.2 | 33.0 | 21.0 | 12.9 | 10.2 | 9.7 | 20.4 | 26.3 | 79.8 | |
| Max. | 200.1 | 216.3 | 173.9 | 60.3 | 37.9 | 27.8 | 18.9 | 14.0 | 20.5 | 35.2 | 42.3 | 113.1 |
CSV file
1,704 rows, 58 KB. Columns: period, value, unit, confidence level, status.
date,valeur,unite,niveau_confiance,statut 2021-01-01,119.023,µg/m³,B,brut 2021-01-02,51.5544,µg/m³,B,brut 2021-01-03,33.4226,µg/m³,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_beyla_pm10_cams_eac4_2021_2025?format=csv"
Python
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/beyla/pm10.csv" df = pd.read_csv(url) df.head()
Notes
- Method
- Satellite model
- Unit
- µg/m³
- Time step
- Daily, charts and table as monthly means
- Period
- 2021-01-01 - 2025-08-31
- Kuma qualification
- Acceptable qualification, cross-check series
- 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). PM10 particulate matter, Beyla (Guinea), 2021-2025. CAMS EAC4 series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_beyla_pm10_cams_eac4_2021_2025
@misc{kuma_gin_beyla_pm10_cams_eac4_2021_2025,
author = {{Kuma Science}},
title = {PM10 particulate matter, Beyla (Guinea), 2021-2025},
year = {2026},
howpublished = {CAMS EAC4 series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_beyla_pm10_cams_eac4_2021_2025},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - PM10 particulate matter, Beyla (Guinea), 2021-2025 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_beyla_pm10_cams_eac4_2021_2025 N1 - CAMS EAC4 ER -
Also cite the primary source, whose licence applies to the published values.
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