South Asia · BGD-DAC · Metro of Bangladesh
DhakaMetro
Location
Structural indicators below are national values for Bangladesh. World Bank / ILO don't publish city-level series. The metro pin exists so signals-agent runs can scope live web search to Dhaka specifically. City-radius event filtering (ACLED) is on the roadmap.Why this metro: 23M+ metro; 2024 uprising epicenter, garment-sector youth labor
Priority breakdown
0 = lowest · 100 = highest
Composite = mean of available dimensions, 5th-95th percentile clipped, direction-adjusted. Instability (unemployment, violence) raises score with value. Access (internet, devices, electricity, AI) raises score with absence.
Trajectory
2015–2026 · replay
How the scores moved.
Scores recomputed historically by replaying each year's indicator values through the current normalizer. Useful for direction, less so for absolute magnitude. World Bank series lag 1-2 years.
Latest signals
2026-06-27 18:00 UTC · run 2026-06-27T18
What the signals agent found, in the last ~60 days.
Live web search via Grok, scoped to this country. Structural indicators above lag by 1-2 years; this section is what changed recently.
Signals
**No major new developments in the last ~60 days (post ~April 28, 2026) significantly shift the youth instability picture for Dhaka metro from the provided baseline (national youth unemployment 15-24 male: 13.3% in 2025; national instability fuse score: 18.1/100).** Dhaka-specific data remains scarce; most available figures are national.[[1]](https://www.tbsnews.net/economy/unemployment-hits-all-time-high-691-nov-569674)[[2]](https://gedkp.gov.bd/wp-content/uploads/2026/03/HARNESSING-THE-POTENTIALS-OF-YOUTH-_A-Policy-Framework-for-Youth-Development-in-Bangladesh.pdf?post_id=4558) **1. Local labor market/unemployment data (Dhaka metro-specific):** No recent Dhaka city or metro-area unemployment or labor force statistics were identified in searches. Available data stays at the national level (e.g., overall unemployment ~3.8% projected for 2026; youth unemployment estimates varying from ~9–10.6% or higher depending on source/definition, with some references to NEET rates around 19–30% for youth). National projections note potential modest rises in youth joblessness amid broader economic pressures, but nothing Dhaka-specific or tied to metro industries.[[3]](https://www.newagebd.net/post/economy/301551/cpd-flags-mounting-economic-challenges-amid-revenue-shortfalls-inflation-banking-stress)[[4]](https://tradingeconomics.com/bangladesh/unemployment-rate) **2. Political/security/economic events in Dhaka affecting young men (18-35):** Recent coverage focuses on the aftermath of the 2024 student-led protests (which ousted the prior government) and related developments through early 2026 (e.g., elections in February 2026, reform debates, isolated violence incidents in late 2025). No reports of large-scale new protests, militia activity, mass layoffs in Dhaka industries, or major crackdowns emerged for April–June 2026. Articles from April 2026 discuss lingering disillusionment among some former student protesters but do not indicate escalated instability in the capital.[[5]](https://thediplomat.com/2026/05/how-the-dreams-of-bangladeshs-student-protestors-died-young/)[[6]](https://www.aljazeera.com/news/2026/4/22/is-bangladesh-killing-reforms-introduced-after-student-led-protests) **3. NGO/think-tank reports on Dhaka’s youth situation (published 2025):** No highly relevant new 2025 reports specifically addressing Dhaka youth instability, employment, or related risks were located. Broader or tangential items include youth-focused climate or education initiatives (e.g., ICCCAD youth fellowships or leadership events in 2025) and a policy brief on national youth employment challenges, but these do not provide Dhaka metro updates or flag acute instability.[[7]](https://icccad.net/)[[2]](https://gedkp.gov.bd/wp-content/uploads/2026/03/HARNESSING-THE-POTENTIALS-OF-YOUTH-_A-Policy-Framework-for-Youth-Development-in-Bangladesh.pdf?post_id=4558) **4. Internet/mobile infrastructure changes in Dhaka:** - Planned temporary/slower speeds April 9–13, 2026, due to maintenance on the SEA-ME-WE-5 submarine cable (traffic-affecting work).[[8]](https://www.thedailystar.net/news/tech-startup/news/internet-services-face-temporary-disruption-april-9-13-4146646) - Ongoing power/fuel crisis in April 2026 caused mobile network disruptions (thousands of sites down nationally, including impacts near Dhaka such as Dhamrai). This stemmed from storms, rain, and power issues rather than deliberate shutdowns; operators sought priority fuel supply.[[9]](https://www.facebook.com/tbsnews.net/posts/bangladeshs-mobile-telecommunications-network-is-facing-serious-disruption-as-an/1394526329388764/)[[10]](https://www.youtube.com/watch?v=B3I3v_9LSiQ) No intentional nationwide or Dhaka-targeted internet blackouts or major rollouts reported in the period. Past 2024 shutdowns during unrest are noted in historical context but not recent. **Overall assessment:** Nothing flagged would materially elevate Dhaka-specific youth instability risks beyond the baseline. Continued monitoring of national economic indicators and any spillover from broader Bangladesh developments is warranted, as metro-specific data is limited. Sources primarily include news outlets (e.g., TBS News, Al Jazeera, The Daily Star) and international reports (ILO, etc.).
Source discovery
**Here is a compiled list of Dhaka-specific (city/provincial or sub-national) data sources** meeting the criteria, drawn from official Bangladeshi statistical portals, city corporations, ACLED resources, news outlets, and relevant think-tank/NGO projects. Focus is on non-inference, machine-readable or downloadable data suitable for youth instability tracking (e.g., labor, demographics, events, urban conditions). Many BBS outputs provide divisional (Dhaka Division) or district (Dhaka District) disaggregation, with some city corporation or urban breakdowns.[[1]](https://dateno.io/registry/catalog/cdi00000130/)[[2]](http://nsds.bbs.gov.bd/) - **Bangladesh Bureau of Statistics (BBS) NSDS / Data Portal** — http://nsds.bbs.gov.bd/ and http://data.bbs.gov.bd/ (catalog); API: yes (catalog search endpoint active); update frequency: periodic (e.g., surveys/reports as released, some quarterly/annual); auth: none/free; granularity: national + divisional (incl. Dhaka Division), district, urban/rural, and city corporation in select releases (e.g., Labour Force Survey). Includes Labour Force Survey (LFS) with employment/unemployment at divisional + city corp. levels, Population & Housing Census (down to district), and other microdata/publications.[[3]](https://www.fairrecruitmenthub.org/resources/bangladesh-labour-force-survey-2022)[[4]](http://nsds.bbs.gov.bd/en/topic/24/Labor) - **BBS Labour Force Survey (LFS) reports/publications** — Via nsds.bbs.gov.bd (e.g., LFS 2022/2023/2024 editions); API: no (downloadable PDFs/excel or microdata access); update frequency: periodic (recent full surveys ~every few years, with quarterly elements historically); auth: none/free (some microdata via lab/request); granularity: national + divisional (Dhaka), with urban/rural/city corporation breakdowns in key reports. Covers youth employment, unemployment, and related labor indicators.[[3]](https://www.fairrecruitmenthub.org/resources/bangladesh-labour-force-survey-2022)[[5]](https://bangladesh.un.org/en/254510-latest-bangladesh-labour-force-survey-incorporates-first-ever-disability-data) - **Dhaka North City Corporation (DNCC) and Dhaka South City Corporation (DSCC)** — dncc.gov.bd and dscc.gov.bd; API: no/partial (limited public portals, some GIS/data sections); update frequency: irregular/ad-hoc (e.g., waste, dengue, or service reports); auth: none/free; granularity: city corporation/ward level (Dhaka metro split into North/South). Primarily administrative/service data; some derived datasets (e.g., waste management) available externally.[[6]](http://dncc.gov.bd/)[[7]](https://www.dscc.gov.bd/) - **Bangladesh Open Data Portal (data.gov.bd)** — https://data.gov.bd/; API: partial/yes (datasets often downloadable, some programmatic access); update frequency: varies by contributing agency; auth: none/free; granularity: national to sub-national (incl. district/city-level datasets on economy, health, education from BBS and others). Aggregates multiple official sources useful for Dhaka filtering.[[8]](https://guides.library.cornell.edu/c.php?g=412213&p=2809070) - **ACLED Bangladesh event data + admin boundaries** — acleddata.com (Bangladesh country page; data download requires free myACLED account); API: yes (for registered users); update frequency: ongoing/real-time events; auth: free account required for full access/downloads; granularity: admin1 (Dhaka Division), admin2 (Dhaka District), with location details; use COD-AB boundaries (HDX: data.humdata.org/dataset/cod-ab-bgd) for precise filtering to Dhaka metro (admin levels 0–3 available as shapefiles/GeoJSON). Events include protests, violence, etc., filterable by location.[[9]](https://acleddata.com/country/bangladesh)[[10]](https://data.humdata.org/dataset/cod-ab-bgd) - **Dhaka Tribune (English news)** — dhakatribune.com (RSS available); API: no (RSS feeds); update frequency: daily/ongoing; auth: none/free; granularity: Dhaka city/national with strong local coverage. Useful for event monitoring; RSS for machine-readable ingestion.[[11]](https://rss.feedspot.com/bangladesh_news_rss_feeds/) - **Additional local news RSS feeds** (examples covering Dhaka): bdnews24.com, prothomalo.com (Bengali/English), risingbd.com, thedailystar.net, and tbsnews.net (various RSS endpoints like /rss.xml); API: no (RSS); update frequency: daily/ongoing; auth: none/free; granularity: Dhaka metro + national. Bengali sources (e.g., Prothom Alo, Jagonews24) provide local-language coverage.[[11]](https://rss.feedspot.com/bangladesh_news_rss_feeds/)[[12]](https://www.tbsnews.net/tbs-rss) - **SANEM (South Asian Network on Economic Modelling) youth surveys/reports** — sanemnet.org (or via partnerships like ActionAid); API: no (reports/policy briefs downloadable); update frequency: periodic (e.g., Youth Survey 2025); auth: none/free; granularity: national with urban/youth focus (Dhaka-relevant as capital metro). Covers youth employment, skills, NEET, perceptions on jobs/reforms.[[13]](https://www.linkedin.com/posts/sanemnet_sanem-actionaid-policybriefyouthsurvey-activity-7470119904919289856-4qF_) - **BIDS (Bangladesh Institute of Development Studies) and similar** — bids.org.bd; API: no (research papers/reports); update frequency: ad-hoc/project-based; auth: none/free; granularity: national/sub-national (urban poverty, labor, Dhaka-specific studies). Complements BBS with deeper urban/youth analysis.[[14]](https://cdn.sida.se/app/uploads/2025/01/27152343/Multidimensional-Poverty-Analysis-Bangladesh-2024_Sida.pdf) These sources emphasize publicly accessible, non-proprietary data. BBS and ACLED offer the strongest structured/sub-national options; city corporations and news RSS add hyper-local or real-time elements. Verify current availability and exact disaggregation on the sites, as some require registration or requests for microdata.
Full run history: /sources
Trends · 2014–2026
Each dimension, over time.
Male youth unemployment
%Intentional homicides
per 100kInternet access
%Mobile subscriptions
per 100Phone ownership
%Electricity access
%AI usage
%Population
peopleWorking-age share
%Provenance
Where the numbers come from.
Every dimension in the priority score has a public, citable source. Window 2014–2026. Signed-input pipeline lands with v2.
| Dimension | Indicator | Source | Latest data | Direction |
|---|---|---|---|---|
Unemployment (15-24, male) | Male youth unemployment, 15-24 (% male labor force) SL.UEM.1524.MA.ZS | World Bank · ILOSTAT modeled estimates | 2025 | ↑ priority |
Unemployment (15+, male) | Male unemployment, 15+ (% male labor force) SL.UEM.TOTL.MA.ZS | World Bank · ILOSTAT modeled estimates | 2025 | ↑ priority |
Violence | Intentional homicides (per 100,000 people) VC.IHR.PSRC.P5 | UNODC · via World Bank | 2023 | ↑ priority |
Internet access | Individuals using the Internet (% of population) IT.NET.USER.ZS | ITU · via World Bank | 2024 | ↓ priority |
Mobile subscriptions | Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P2 | ITU · via World Bank | 2024 | ↓ priority |
Electricity access | Access to electricity (% of population) EG.ELC.ACCS.ZS | IEA / World Bank Tracking SDG7 | 2023 | ↓ priority |
AI usage Estimate · proxy | AI tool usage (surveyed) | DataReportal / GWI (survey) % of internet users who used any AI tool in the past month (DataReportal / GWI), converted to % of population using internet penetration. | 2025 | ↓ priority |
Population (context) | Population, total SP.POP.TOTL | UN Population Division · via World Bank | 2024 | context |
Working-age share (context) | Population ages 15-64 (% of total) SP.POP.1564.TO.ZS | UN Population Division · via World Bank | 2024 | context |
Phone ownership | Individuals owning a mobile phone (% of population) | ITU (via Our World in Data) | 2024 | ↓ priority |
Freedom (intervention axis) | Freedom in the World — total score 0-100 (higher = more free) | Freedom House (via Our World in Data) | 2025 | ↓ priority |
- Unemployment (15-24, male)↑ priority
Male youth unemployment, 15-24 (% male labor force)
SL.UEM.1524.MA.ZS
World Bank · ILOSTAT modeled estimates
Latest data · 2025
- Unemployment (15+, male)↑ priority
Male unemployment, 15+ (% male labor force)
SL.UEM.TOTL.MA.ZS
World Bank · ILOSTAT modeled estimates
Latest data · 2025
- Violence↑ priority
Intentional homicides (per 100,000 people)
VC.IHR.PSRC.P5
Latest data · 2023
- Internet access↓ priority
Individuals using the Internet (% of population)
IT.NET.USER.ZS
Latest data · 2024
- Mobile subscriptions↓ priority
Mobile cellular subscriptions (per 100 people)
IT.CEL.SETS.P2
Latest data · 2024
- Electricity access↓ priority
Access to electricity (% of population)
EG.ELC.ACCS.ZS
IEA / World Bank Tracking SDG7
Latest data · 2023
- AI usage↓ priority
AI tool usage (surveyed)
Latest data · 2025
% of internet users who used any AI tool in the past month (DataReportal / GWI), converted to % of population using internet penetration.
- Population (context)context
Population, total
SP.POP.TOTL
UN Population Division · via World Bank
Latest data · 2024
- Working-age share (context)context
Population ages 15-64 (% of total)
SP.POP.1564.TO.ZS
UN Population Division · via World Bank
Latest data · 2024
- Phone ownership↓ priority
Individuals owning a mobile phone (% of population)
Latest data · 2024
- Freedom (intervention axis)↓ priority
Freedom in the World — total score 0-100 (higher = more free)
Freedom House (via Our World in Data)
Latest data · 2025