Is anything worse than usual in Jhal Magsi right now?

No. Everything reported here is at or below its usual level for this time of year.

14 pneumonia in under-fives cases a week, against a usual 28.

0200400usual range2026JanAprJulOct

Read from these three weekly reports by Field Epidemiology and Disease Surveillance Division, National Institutes of Health, Islamabad:

  • Week 36, 2026
  • Week 37, 2026
  • Week 39, 2026
The 6 reports behind "usual"
  • Week 36, 2024
  • Week 38, 2024
  • Week 39, 2024
  • Week 36, 2025
  • Week 37, 2025
  • Week 38, 2025

The publisher's own list of its weekly reports

⅛×usual8×

How this is worked out. The last four weeks against the same four weeks of the two years before, for this district alone. Illnesses with fewer than 5 cases a week here are left out: too few to compare.

What makes the most people ill here?

Non-cholera diarrhoea and flu-like illness: 69 of every 100 reports here this year.

  • Non-cholera diarrhoea35 in 100
  • Flu-like illness34 in 100
  • Malaria21 in 100
  • Pneumonia in under-fives5 in 100
  • Severe chest infection4 in 100
  • 3 others1 in 100

5,019 reports from Jhal Magsi so far in 2026.

Which illnesses are coming into season here?

Too few weeks of reports, or too few cases, to show a season in Jhal Magsi yet.

How does Jhal Magsi compare with the rest of Pakistan?

Jhal Magsi is 49th of the 68 districts with enough pneumonia in under-fives to compare, each against its own usual.

usual⅛×8×32×country 0.9×Abbottabad: 1.5×Badin: 0.9×Bajaur: 0.1×Bannu: 0.5×Barkhan: 1.3×Buner: 0.0×Charsadda: 0.5×Chitral Lower: 0.9×Chitral Upper: 0.7×D. I. Khan: 2.8×Dadu: 2.0×Lower Dir: 0.1×Upper Dir: 0.8×Ghotki: 1.4×Hangu: 0.0×Haripur: 0.9×Harnai: 1.1×Hyderabad: 1.1×Jacobabad: 0.7×Jaffarabad: 0.0×Jamshoro: 1.2×Jhal Magsi: 0.5×Kalat: 0.1×Kambar Shahdad Kot: 0.8×Central Karachi: 2.4×East Karachi: 0.8×Karachi Keamari: 0.3×Malir Karachi: 0.5×West Karachi: 0.8×Karak: 3.1×Kashmore: 0.5×Kech: 0.2×Khairpur: 0.8×Khyber: 0.8×Kohat: 0.6×Larkana: 1.1×Lasbela: 1.8×Loralai: 0.8×Malakand: 0.0×Mansehra: 0.9×Mardan: 0.7×Mastung: 1.4×Matiari: 0.9×Mirpur Khas: 0.6×Nasirabad: 1.8×Naushahro Feroze: 0.8×North Waziristan: 0.2×Nowshera: 1.1×Peshawar: 0.5×Sanghar: 0.9×Shaheed Benazir Abad: 1.0×Shangla: 1.6×Shikarpur: 0.9×Sohbatpur: 1.1×South Waziristan (Lower): 0.3×South Waziristan (Upper): 0.0×Sujawal: 0.4×Sukkur: 0.7×Swabi: 0.7×Swat: 1.1×Tando Allahyar: 0.7×Tando Muhammad Khan: 0.8×Tank: 0.7×Tharparkar: 0.9×Thatta: 0.3×Umer Kot: 0.9×Upper Kurram: 1.9×Usta Muhammad: 1.9×Jhal Magsi

Across Pakistan as a whole, pneumonia in under-fives is at 0.9× its usual; here it is 0.5×.

Why each district against itself. A large district always has more cases than a small one. Each dot is a district against its own usual, so size drops out.

How far is care from here?

Most people (100%) live more than an hour's walk from a hospital or clinic.

Walking time to the nearest hospital or clinic, for everyone living in Jhal Magsi. Half of people are within 693 minutes.

  • Within an hour's walk0%
  • One to two hours0%
  • More than two hours100%

What people say

In Balochistan, 74% of women say the distance to a health facility is a big problem when they need care (80% in rural areas), against 42% across Pakistan.

Sources: walking times, Weiss and others, Nature Medicine 2020 (Malaria Atlas Project), a model at walking pace from facilities mapped in 2019; where people live, WorldPop 2020; what people say, National Institute of Population Studies and ICF, Pakistan Demographic and Health Survey 2017-18, table 9.17.

Can we trust this week's numbers for Jhal Magsi?

Yes, for this week. Jhal Magsi sent figures in 35 of the last 52 weekly reports.

Weekly reports with figures from Jhal Magsi, most recent last

A reported case means someone reached a clinic and a form was filed, so these count reports, not everyone who was ill.

Sources. Field Epidemiology and Disease Surveillance Division, National Institutes of Health, Islamabad, weekly report. District maps: World Food Programme Spatial Data Infrastructure, published as a Common Operational Dataset by the UN Office for the Coordination of Humanitarian Affairs.