Air-pollution mortality (per 100k, age-std.)
144 per 100k
Source: World Bank World Development Indicators · Observed through 2019-12-31
Environment
Air-pollution mortality
বায়ুদূষণজনিত মৃত্যু
Near-term outlook
Air-pollution mortality is classified High concern at 144 per 100k, observed through 2019-12-31. That observation is about 6.8 years old. It is older than this source's publication cadence supports (one observation per reference year, published about a year after the year ends), so this is the latest published reading, not a current one.
Input age: Evidence observed through 2019-12-31, about 6.8 years old, which is older than this source's publication cadence supports (one observation per reference year, published about a year after the year ends). This is the latest published observation, not a current reading.
Assessment
High concern
BDPolicyLab analytical classification based on the stated assessment basis. It is not an official agency designation. Benchmark stress score: 80/100.
Observed through
2019-12-31
Latest valid evidence date, about 6.8 years old.
Source: BDPolicyLab Crisis Orb · Updated 2026-10-11
Evidence
| Evidence | Reading | Observed through | Primary source |
|---|---|---|---|
| Air-pollution mortality (per 100k, age-std.) | 144 per 100k | 2019-12-31 | World Bank World Development IndicatorsSH.STA.AIRP.P5 |
Most exposed districts
Districts ranked by population-weighted PM2.5. Exposure sources: ACAG satellite-derived PM2.5, 2020-2022 mean, WorldPop/GP/100m/pop, Bangladesh 2020, 100 m. See the exposure atlas.
| District | Division | population-weighted PM2.5 |
|---|---|---|
| Noakhali | Chittagong | 85.3 ug/m3 |
| Lakshmipur | Chittagong | 84.6 ug/m3 |
| Chittagong | Chittagong | 84.4 ug/m3 |
| Munshiganj | Dhaka | 82.8 ug/m3 |
| Feni | Chittagong | 82.3 ug/m3 |
| Narayanganj | Dhaka | 82.1 ug/m3 |
| Chandpur | Chittagong | 81.7 ug/m3 |
| Bhola | Barisal | 81.7 ug/m3 |
Methodology and validation
The assessment compares the latest source observation with BDPolicyLab analytical monitoring bands. For this detector, higher readings indicate greater stress; the internal analytical cutoffs are 60 per 100k, 90 per 100k, 120 per 100k, 150 per 100k. The score is a level-anchored piecewise-linear transformation with state bands at 20, 40, 60, and 85. Benchmark reference: WHO SDG 3.9.1 (household + ambient air-pollution mortality): 2019 global average ~60 per 100,000; bands set from the WHO income-group distribution (lower-middle-income ~80-100, worst-affected countries >150). Bangladesh ~144 per 100,000 (2019) is in the severe-to-critical band. The indicator's primary source is identified with the evidence in this card. Forecast ranges are published only as calibrated 80% predictive intervals with an explicit source time unit.
BDPolicyLab analytical classification based on the stated assessment basis. It is not an official agency designation.
No public forecast is shown because the validation or time-unit requirement was not met.