Table 1 Ranked refugee camp exposure and main drivers.
From: Indexing climatic and environmental exposure of refugee camps with a case study in East Africa
Refugee camp | Country | Population (2020) | Year established | Percentile of national exposure (CI) | Key drivers of exposure |
|---|---|---|---|---|---|
Kakuma | Kenya | 185,000 | 1992 | 69.8 (62.6–72.1) | TXx, PDSI, SSM |
Pamir | South Sudan | 27,489 | 2018 | 67.5 (63.1–71.7) | PDSI, SSM |
Ajuong Thok | South Sudan | 55,000 | 2013 | 57.7 (52.5–61.7) | PDSI, SSM, TXx |
Yida | South Sudan | 70,331 | 2012 | 55.3 (49.5–59.1) | PDSI, TXx, SSM |
Ifo | Kenya | 84,000 | 1992 | 52.8 (44.9–56.8) | SSM, TXx |
Hagadera | Kenya | 106,000 | 1992 | 51.4 (42.9–55.6) | TXx |
Nyarugusu | Tanzania | 150,000 | 1996 | 50.9 (44.3–53.3) | ΔT, TXx |
Melkadida | Ethiopia | 34,762 | 2010 | 44.7 (37.7–49.7) | Q, TXx, SSM |
Dagahaley | Kenya | 87,000 | 1992 | 36.6 (28.5–40.9) | SSM, TXx |
Pugnido | Ethiopia | 62,000 | 1993 | 35.5 (31.3–39.9) | Q |
Palorinya | Uganda | 166,025 | 2016 | 34.7 (29.7–39.1) | Q, SSM |
Nyumanzi | Uganda | 52,894 | 2014 | 32.5 (28.3–36.9) | Q |
Bidi Bidi | Uganda | 287,087 | 2016 | 28.5 (24.4–32.5) | Q, TXx |
Kule | Ethiopia | 45,397 | 2014 | 25.9 (21.6–29.5) | Q, TXx |
Nguenyyiel | Ethiopia | 83,658 | 2016 | 24.4 (20.2–27.9) | Q |
Nduta | Tanzania | 104,784 | 2015 | 23.6 (19.2–27.7) | ΔT, PMAX |
Mtendeli | Tanzania | 40,123 | 2016 | 15.2 (12.0–18.6) | ΔT |
