Reports · GCRI · Established
Economic development · Development finance
Economic Development in Reports
Economic transformation, inclusive growth, industry, trade and development under systemic risk. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 2
- Systems
- 3
- Methods
- 5
01In brief
What this area brings to the editions.
Economic transformation, inclusive growth, industry, trade and development under systemic risk.
02Field
Economic Development on the map.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
People and exposure, for this page
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- static product; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (persistent cloud still leaves gaps)
- Source
- VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- 8-day; Satellite 8-day composite; persistent cloud still leaves gaps
- Newest at build
- 2026-09-14
- Resolution
- about 1 km grid
- Uncertainty
- Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- OMI Aura (NASA GES DISC)
- Provider
- NASA GES DISC
- Licence
- NASA open data
- Vintage
- daily; Satellite retrieval; clouds leave gaps
- Newest at build
- 2026-10-10
- Resolution
- about 2 km grid
- Uncertainty
- Satellite column of nitrogen dioxide in the lower atmosphere on the day shown, mostly from combustion; not a ground-level concentration or a health warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
People and exposure, framed on Africa.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERT
Sources and licences
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (9 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
- Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC · 10 Oct 2026
03In the editions
9 findings of the drafted editions that bear on Economic Development.
Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREUnited Arab EmiratesReal GDP grew 4.0% in 2024 and the IMF projects 4.8% for 2025 and 5.0% for 2026; fuel was 68% of merchandise exports in 2023, and the non-oil primary balance is a deficit of 15.1% of non-hydrocarbon GDP in 2025.REPORTED · COUNTRY-ARE-FIN-011
- ARGArgentinaPoverty was 32.3% of people in the first half of 2026, up 4.1 points on the second half of 2025, under a US$20 billion IMF programme.REPORTED · COUNTRY-ARG-FIN-010
- AUAfrican UnionSub-Saharan Africa had 1.32 billion people in 2025, growing 2.4% a year, and 40.4% of them were under 15.REPORTED · COUNTRY-AU-DEV-001
- BRABrazilGeneral government gross debt was 93.3% of GDP in 2025 on IMF definitions, with the policy rate at 14.0% at end-2025.REPORTED · COUNTRY-BRA-FIN-011
- CHESwitzerlandGDP grew 1.4% in 2025 and inflation was 0.2%, and the IMF assessed the debt brake as appropriate while noting that the shift to a low-carbon economy will raise spending needs.REPORTED · COUNTRY-CHE-FIN-010
- CHNChinaMeteorological disasters in 2025 left 628 people dead or missing and caused 231.78 billion yuan of direct loss, 26.3% fewer deaths and missing and 28.8% less loss than the 2015 to 2024 average.REPORTED · COUNTRY-CHN-FIN-003
- EUEuropean UnionWeather and climate extremes caused about EUR 822 billion of losses from 1980 to 2024, and less than 20% was privately insured.REPORTED · COUNTRY-EU-FIN-010
- GS-02Global EnergyGlobal energy investment is estimated at USD 3.4 trillion in 2026, against USD 2.6 trillion in 2015, with electricity supply and infrastructure at about USD 1.6 trillion.REPORTED · SECTOR-ENERGY-GLOBAL-FIN-005
- GS-03Global Food and Agrifood SystemsThe FAO Food Price Index averaged 133.3 points in August 2026, 2.5% above a year earlier and 1.9% above July; wheat prices were 15.0% above a year earlier and maize prices rose 2.5% in the month.REPORTED · SECTOR-FOOD-GLOBAL-FIN-007
04Evidence path
From Foundry evidence to the series.
The evidence, step by step, from the systems this area reads to the series it feeds.
How Economic Development reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Economic Development reads The Global Risks Index (NXS-GRX) and NXS-DSS (decision cases and deliberation): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Economics and development economics and Econometrics turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Country Systems Risk and Resilience and Global Systems Risk and Resilience, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Economic Development in Reports (2026); Economic Development home (2026).
05Series
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Country Systems Risk and Resilience | NXS-GRX one country’s dependency map and its indicator baselines NXS-CMD (integrated posture and executive synthesis) the national portfolio of risk reduction work the edition reads against NXS-EOP (earth observation and digital twins) exposure and change layers at subnational detail | Nexus-Based Risk Management (NRM) Disaster risk reduction Critical infrastructure and lifelines | Country Systems Risk and Resilience series home |
| Global Systems Risk and Resilience | NXS-GRX coupled-system cascades and the fused indicator series behind a global synthesis NXS-DSS the cross-field scenario sets an edition compares | Systemic, compound and cascading risk Water-energy-food-ecosystems nexus Global catastrophic risks | Global Systems Risk and Resilience series home |
06Backed by
The systems, methods and teaching behind it.
- NXS-GRXNXS-GRXNXS-GRXNXS-GRX
- NXS-DSSNXS-DSSNXS-DSSRooms: Scenarios, Decisions.
- NXS-CMDNXS-CMDNXS-CMDRooms: Portfolios, Council.
- STEM methodSTEM CommonsEconomics and development economicsThe canonical method page, with its limits.
- STEM methodSTEM CommonsEconometricsThe canonical method page, with its limits.
- STEM methodSTEM CommonsCausal inference and impact evaluationThe canonical method page, with its limits.
- STEM methodSTEM CommonsNetwork science and contagionThe canonical method page, with its limits.
- STEM methodSTEM CommonsComplex systems and agent-based modellingThe canonical method page, with its limits.
- Academy disciplineRisk AcademyEconomic development and macroeconomic shocksFaculty of Finance and Economics
- Academy disciplineRisk AcademyPublic finance and sovereign debtFaculty of Finance and Economics
- Academy disciplineRisk AcademyWater-energy-food-ecosystems nexusFaculty of Systems and Nexus Studies
- FieldGCRIEconomic developmentThe field across science, governance and finance.
- FieldGCRIDevelopment financeThe field across science, governance and finance.
07Across the Consortium
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsCapital NexusShared: Development finance.
- Counterpart · GRAReportsDevelopment Finance NexusShared: Development finance, Economic development.
- Counterpart · GRAReportsDisaster Risk FinanceShared: Development finance.
- Counterpart · GRAReportsPublic Finance and Sovereign DebtShared: Development finance.
- Standards areaNexus StandardsFor finance and insuranceFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
- Standards areaNexus StandardsFor humanitarian and public-sector practitionersHumanitarian action and development. Parts NS-0, NS-3, NS-10, NS-11.
- Standards areaNexus StandardsFinance and payments dataFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
- Standards areaNexus StandardsSustainable finance and disclosure alignmentFinance, insurance and the economy. Parts NS-3, NS-10, NS-11.
- Standards areaNexus StandardsHumanitarian standards alignmentHumanitarian action and development. Parts NS-3, NS-10, NS-11.
- Standards areaNexus StandardsFinancial and economic risk standardsFinance, insurance and the economy. Parts NS-0, NS-3, NS-9, NS-10, NS-11, NS-14.
09Contribute
Contribute on Economic Development.
Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.
Contribution composer
Write a contribution the editor can act on.
Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.
Your email opens with the subject and a template already filled in for GW-GCRI.
- Evidence
- Correction
- Case study
- Analysis or method
- Peer review
- Translation
- Profile input
Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.
10Open science
Open science for Economic Development.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Economic Development’s open record
- Area
- Economic Development
- Feeds
- Country Systems Risk and Resilience, Global Systems Risk and Resilience
- Record
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- Links
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- Licence
- CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0
Credit and identity
- ORCID
- Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
- ROR
- Your organisation by its ROR identifier, never by a typed name alone
- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- Account
- None needed to contribute; never a password
Find and follow
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Mirrors and harvest
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}11Latest
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ReportsContribute
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GCRI Systems Evidence deskEconomic DevelopmentCountry Systems Risk and ResilienceGlobal Systems Risk and Resilience
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