Who owns each crisis, all 169 hazards

Hazard Accountability Map

A risk no institution owns is a risk no one is answerable for. For every hazard in the national crisis taxonomy, this page names the body that legally owns it, whether a separate institution monitors it, and how visibly that owner has acted in the last 90 days. The ownership is the mandate; the activity is a measured signal, not a verdict.

169
hazards, each with a named owner
65
institutions hold ownership
34
hazards with no separate monitor
67
tier 1 (highest severity)

Owner responsiveness by domain

Average 90-day activity score (0 to 9) of the owning institutions, across the hazards in each policy domain. Lower means the owners have been less publicly active on those hazards over the window.

Domain Hazards Avg owner activity
climate fast 14 7.0
health injury 7 7.0
governance 12 7.4
environment 13 7.5
education 8 7.6
tech cyber 9 7.6
labor 8 7.9
energy infra 12 7.9
demographic 10 8.1
climate slow 8 8.1
trade external 9 8.1
security geopolitics 8 8.1
macro financial 17 8.4
agriculture food 9 8.5
health communicable 11 8.7
health ncd 14 9.0

Every hazard and its owner

Sorted by severity tier, then by owner activity (least active first within a tier). A blank monitor cell means no institution beyond the owner is linked to the hazard for independent oversight.

Tier Hazard Owner Monitor Activity
1 Heatwaveclimate fast BMD MoDMR 4.0
1 Female labor-force participationdemographic MoWCA MoLE 6.0
1 Drowning (children)health injury MoWCA MoHFW 6.0
1 Child marriagehealth injury MoWCA MoHFW 6.0
1 Tropical cycloneclimate fast BMD, MoDMR nan 6.0
1 Gender-based violencehealth injury MoWCA MoHA 6.0
1 Arsenic groundwaterenvironment DPHE MoWR 6.0
1 Corruption (TI CPI)governance ACC CD 7.0
1 Learning povertyeducation MoPME DPE 7.0
1 Internet shutdowntech cyber MoPTIT BTRC 7.0
1 Sea-level riseclimate slow MoEFCC MoWR 7.0
1 Election integritygovernance EC JS 7.0
1 Air quality (PM2.5) winterenvironment DoE, MoEFCC nan 7.5
1 Road-traffic injurieshealth injury MoRTB, BRTA nan 7.5
1 July-Aug 2024 uprisinggovernance CD MoPA 8.0
1 Tax/GDP stagnationmacro financial NBR IRD 8.0
1 NPL regimemacro financial BB FID 8.0
1 Demographic dividend closingdemographic MoP SID 8.0
1 Storm surgeclimate fast MoDMR BWDB 8.0
1 Inflation regimemacro financial BB FD 8.0
1 Salinity intrusionclimate slow MoWR MoA 8.0
1 Food price spikeagriculture food MoFood MoC 8.0
1 Banking stressmacro financial BB FID 8.0
1 AI / automation hit to RMGlabor MoLE MoC 8.0
1 External / BoP / FXmacro financial BB FD 8.0
1 Education spend loweducation MoE MoF 8.0
1 Real wage erosionmacro financial BB FD 8.0
1 Flash flood (haor)climate fast MoWR, MoDMR nan 8.0
1 Enforced disappearancesgovernance MoHA NHRC 8.0
1 Cyclone over Rohingya campsclimate fast DDM, MoDMR nan 8.0
1 Pandemic-X scenariohealth communicable IEDCR, MoHFW nan 8.0
1 RMG export concentrationlabor MoLE MoC 8.0
1 Remittance channel disruptionmacro financial BB MoEWOE 8.0
1 Informal sector dominancelabor MoLE BBS 8.0
1 Export concentration (RMG)trade external EPB MoC 8.0
1 LDC graduation Nov 2026trade external MoC ERD 8.0
1 Denguehealth communicable IEDCR, MoHFW nan 8.0
1 LDC-graduation export shocklabor MoLE MoC 8.0
1 Air-pollution mortalityenvironment DoE MoEFCC 8.0
1 Capital flightmacro financial BB FD 8.0
1 Riverine floodclimate fast BWDB, MoDMR nan 8.5
1 Antimicrobial resistancehealth communicable DGDA, MoHFW nan 8.5
1 Tuberculosis burdenhealth communicable MoHFW, DGHS nan 9.0
1 Child stuntinghealth ncd MoHFW MoFood 9.0
1 Nationwide grid blackoutenergy infra PD PGCB 9.0
1 Cancer burdenhealth ncd DGHS, MoHFW nan 9.0
1 Youth NEETdemographic MoYS MoLE 9.0
1 Power capacity overbuildenergy infra PD BERC 9.0
1 Maternal mortality plateauhealth ncd DGFP, MoHFW nan 9.0
1 Sovereign default scenariomacro financial FD BB 9.0
1 Rice yield plateauagriculture food MoA BRRI 9.0
1 Public debt sustainabilitymacro financial FD ERD 9.0
1 Aman + Boro compound failureagriculture food MoA MoFood 9.0
1 Hormuz strait disruptiontrade external MoFA MoC 9.0
1 Jobless growthmacro financial FD PC 9.0
1 Second Rohingya influxdemographic MoFA MoHA 9.0
1 River erosionclimate slow BWDB MoL 9.0
1 Fuel price hikeenergy infra EMRD BPC 9.0
1 Rohingya camp pressuredemographic MoFA MoHA 9.0
1 Boro groundwater overuseagriculture food MoA MoWR 9.0
1 LNG import dependenceenergy infra EMRD BPC 9.0
1 Gas reserve depletionenergy infra EMRD PB 9.0
1 Mental-health treatment gaphealth ncd DGHS, MoHFW nan 9.0
1 Myanmar war spilloversecurity geopolitics MoFA MoDMR 9.0
1 Out-of-pocket health spendhealth ncd MoHFW FD 9.0
1 Diabetes prevalencehealth ncd DGHS, MoHFW nan 9.0
1 Cardiovascular diseasehealth ncd DGHS, MoHFW nan 9.0
2 Dhaka housing affordabilityenergy infra MoHPW RAJUK 5.0
2 Lightning fatalitiesclimate fast BMD, MoDMR nan 6.0
2 Import dependence (China, India)trade external CCI&E BTTC 6.0
2 Cold waveclimate fast BMD, MoDMR nan 6.0
2 Military interventiongovernance MoD AFD 7.0
2 Digital dividetech cyber ICTD BCC 7.0
2 Cyber Security Act chillgovernance MoIB MoLJPA 7.0
2 ACC weaknessgovernance ACC CD 7.0
2 Teacher qualityeducation MoPME DSHE 7.0
2 Constitutional / referendum failuregovernance MoLJPA EC 7.0
2 Sundarbans degradationclimate slow MoEFCC MoFL 7.0
2 Deforestationenvironment BFD, MoEFCC nan 7.0
2 Dhaka traffic congestionenergy infra MoRTB DTCA 7.0
2 AI policy vacuumtech cyber ICTD BCC 7.0
2 Press-freedom declinegovernance MoIB IC 7.0
2 Madrasa / general fragmentationeducation TMED MoE 7.0
2 TVET / skills gaplabor DTE BMET 7.0
2 Port congestionenergy infra MoS CPA 7.0
2 Judicial backloggovernance MoLJPA SC 7.0
2 Dhaka WASA leakageenergy infra DWASA LGD 7.0
2 BDR-style mutiny scenariosecurity geopolitics MoD AFD 7.0
2 Climate-finance failuresecurity geopolitics MoEFCC MoFA 7.0
2 Workplace accidentshealth injury DIFE, MoLE nan 7.5
2 Urban / pluvial floodclimate fast LGD MoDMR 8.0
2 Migrant wage theftlabor MoEWOE BMET 8.0
2 Urban heat-island intensificationclimate fast MoLGRDC MoEFCC 8.0
2 Sewerage coverage lowenergy infra MoLGRDC DPHE 8.0
2 Illicit financial outflowsmacro financial BB NBR 8.0
2 RMG labor unrestlabor MoLE DIFE 8.0
2 Nipah virushealth communicable IEDCR, MoHFW nan 8.0
2 COVID learning losseducation MoE MoPME 8.0
2 Land fragmentationagriculture food MoL MoA 8.0
2 Major MFS outagetech cyber BB FID 8.0
2 Credit crowding-outmacro financial BB FD 8.0
2 Tertiary employability gapeducation UGC MoE 8.0
2 Industrial effluentenvironment DoE MoI 8.0
2 Submarine cable dual-cuttech cyber PTD BTRC 8.0
2 Non-traditional export weaknesstrade external EPB MoC 8.0
2 Militancy attack (Holey Artisan-style)security geopolitics MoHA NSI 8.0
2 Cyclone-during-pandemicclimate fast MoDMR NDMC 8.0
2 Communal violence spikesecurity geopolitics MoHA BP 8.0
2 Red Sea / Suez disruptiontrade external MoC MoFA 8.0
2 Land subsidenceclimate slow MoWR MoL 8.0
2 Migrant-returnee shockdemographic MoEWOE MoLE 8.0
2 BB cyber-heist patterntech cyber BB ICTD 8.0
2 bKash / Nagad concentrationtech cyber BB FID 8.0
2 US GSP suspendedtrade external MoC MoFA 8.0
2 Dhaka in-migration overloaddemographic MoLGRDC MoP 8.0
2 Underemploymentlabor MoLE BBS 8.0
2 Police politicizationgovernance MoHA BP 8.0
2 River pollutionenvironment DoE MoWR 8.0
2 Food import dependenceagriculture food MoFood MoC 8.0
2 Lead exposureenvironment DoE nan 8.0
2 Yaba / methamphetaminehealth injury MoHA, DNC nan 8.0
2 Brain draindemographic MoEWOE MoE 8.0
2 Brick-kiln pollutionenvironment DoE MoEFCC 8.0
2 Health-worker shortagehealth ncd MEFWD, MoHFW nan 8.5
2 Indo-Pacific squeezesecurity geopolitics MoFA PMO 9.0
2 Suicidehealth ncd MoHFW MoWCA 9.0
2 Sovereign rating driftmacro financial FD ERD 9.0
2 Renewables lagenergy infra PD SREDA 9.0
2 India border killingssecurity geopolitics MoFA BGB 9.0
2 Avian flu spilloverhealth communicable MoHFW MoFL 9.0
2 Adolescent pregnancyhealth ncd MoHFW MoWCA 9.0
2 COVID-19 burdenhealth communicable DGHS, MoHFW nan 9.0
2 Cholera / acute diarrheahealth communicable DGHS, MoHFW nan 9.0
2 Post-harvest lossagriculture food MoA MoFood 9.0
2 Aging shockdemographic MoHFW MoSW 9.0
2 Anemia in womenhealth ncd DGFP, MoHFW nan 9.0
2 Debt service risingmacro financial FD ERD 9.0
2 Droughtclimate fast MoA MoWR 9.0
2 India transit weaponizationtrade external MoFA MoC 9.0
2 COPD / asthmahealth ncd MoHFW DGHS 9.0
2 Fertilizer subsidy burdenagriculture food MoA MoF 9.0
2 NBFI fragilitymacro financial FID BSEC 9.0
2 Snakebite envenominghealth communicable DGHS, MoHFW nan 9.0
2 Coastal erosionclimate slow BWDB MoEFCC 9.0
2 Hypertensionhealth ncd DGHS, MoHFW nan 9.0
2 Hepatitis B/Chealth communicable DGHS, MoHFW nan 9.0
2 Chronic kidney diseasehealth ncd DGHS, MoHFW nan 9.0
3 Hailstorm (kal-baishakhi)climate fast BMD MoA 4.0
3 Soil organic carbon declineenvironment SRDI MoA 5.0
3 Tornadoclimate fast BMD, MoDMR nan 6.0
3 Rail freight marginalenergy infra MoRail BR 7.0
3 Wetland / haor lossenvironment MoEFCC MoL 7.0
3 Elderly-care gapdemographic MoSW MoHFW 7.0
3 Data sovereignty gaptech cyber ICTD MoPTIT 7.0
3 Hilsa / shrimp export weaknessagriculture food DoF, MoFL nan 7.5
3 Cross-border smugglingsecurity geopolitics MoHA DNC 8.0
3 MFS concentration riskmacro financial BB FID 8.0
3 Plastic pollutionenvironment DoE MoEFCC 8.0
3 Telecom oligopolytech cyber BTRC MoPTIT 8.0
3 Major delta avulsionclimate slow MoWR WARPO 8.0
3 Research output loweducation UGC MoE 8.0
3 Private-tutoring dependenceeducation MoE nan 8.0
3 Acid attackshealth injury MoHA MoWCA 8.0
3 Solid-waste mismanagementenvironment LGD DoE 8.0
3 Char erosion-accretion cycleclimate slow BWDB MoL 9.0
3 China BRI debt-trap scenariostrade external ERD MoF 9.0
3 Pesticide overuseenvironment MoA DoE 9.0
3 Decentralization deadlockgovernance MoPA MoLGRDC 9.0
3 Measles / HFMD outbreakshealth communicable DGHS, MoHFW nan 9.0

Method and sources

Hazards are the 169 dimensions of the BDPolicyLab national crisis taxonomy, each tagged with a severity tier (1 highest) and policy domain. Ownership and monitoring links come from the GovTwin institutional registry (crisis_links), which maps each hazard to the ministry, regulator, or agency that legally owns or monitors it. The activity score (0 to 9) is the GovTwin entity-activity signal: a 90-day measure built from dated, source-linked public events (regulations, statements, procurement, legal actions) for each institution. It captures recent visible engagement, not the quality or adequacy of response. Budget figures are deliberately not shown here: the registry records a separate budget line for only some of these bodies, so an absence would read as unfunded when it usually means the funding sits under a parent ministry. See the government twin for the full institutional map.