East Java
First-level unit, Indonesia: people, area, the units inside and neighbours, with risk values when released.
Inside East Java
The 38 ADM2 units of East Java.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
37,324,544
13.8% of Indonesia.
40,989,678
+10% against GHSL; the two grids differ in method.
48,136 km²
775 people per km².
ID-JI
Subdivision code as carried by the boundary source.
6,115,609
people on land at or below 10 m, 16.4% of the unit (GEBCO 2024 and GHSL 2025).
East Java in humanitarian data
Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.
2.9%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
38 units inside East Java
Each unit has its own page.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Bangkalan | – | 737,235 | 934,643 | 1,309.94 | 563 | 2% | 108,416 |
| Banyuwangi | – | 1,545,000 | 1,746,916 | 3,619.42 | 427 | 4.1% | 96,956 |
| Blitar | – | 1,143,751 | 1,308,573 | 1,761.72 | 649 | 3% | 75 |
| Bojonegoro | – | 1,143,616 | 1,312,419 | 2,323.85 | 492 | 3% | 7,280 |
| Bondowoso | – | 758,031 | 827,610 | 1,561.74 | 485 | 2% | 0 |
| Gresik | – | 1,206,566 | 1,356,189 | 1,257.58 | 959 | 3.2% | 382,697 |
| Jember | – | 2,418,841 | 2,657,288 | 3,320.87 | 728 | 6.4% | 179,395 |
| Jombang | – | 1,198,770 | 1,336,827 | 1,124.39 | 1,066 | 3.2% | 0 |
| Kediri | – | 1,675,146 | 1,884,297 | 1,530.08 | 1,095 | 4.5% | 0 |
| Kota Batu | – | 153,250 | 173,159 | 196.86 | 778 | 0.4% | 0 |
| Kota Blitar | – | 113,571 | 103,763 | 33.6 | 3,380 | 0.3% | 0 |
| Kota Kediri | – | 213,845 | 195,379 | 69.18 | 3,091 | 0.6% | 0 |
| Kota Madiun | – | 178,591 | 178,591 | 34.68 | 5,150 | 0.5% | 0 |
| Kota Malang | – | 1,103,279 | 879,716 | 110.36 | 9,997 | 2.9% | 0 |
| Kota Mojokerto | – | 204,571 | 170,765 | 20.31 | 10,072 | 0.5% | 0 |
| Kota Pasuruan | – | 84,350 | 121,062 | 39.17 | 2,153 | 0.2% | 0 |
| Kota Probolinggo | – | 271,747 | 243,896 | 55.1 | 4,932 | 0.7% | 34,818 |
| Kota Surabaya | – | 3,092,941 | 2,914,461 | 337.38 | 9,168 | 8.2% | 2,363,288 |
| Lamongan | – | 1,095,664 | 1,343,864 | 1,758.96 | 623 | 2.9% | 478,267 |
| Lumajang | – | 936,048 | 1,104,572 | 1,818.41 | 515 | 2.5% | 18,719 |
| Madiun | – | 739,484 | 875,034 | 1,122.06 | 659 | 2% | 0 |
| Magetan | – | 594,411 | 682,642 | 705.11 | 843 | 1.6% | 0 |
| Malang | – | 2,387,765 | 2,801,945 | 3,470.81 | 688 | 6.4% | 610 |
| Mojokerto | – | 944,901 | 1,109,789 | 978.73 | 965 | 2.5% | 0 |
| Nganjuk | – | 989,318 | 1,114,850 | 1,296.02 | 763 | 2.6% | 0 |
| Ngawi | – | 813,025 | 911,697 | 1,399.28 | 581 | 2.2% | 0 |
| Pacitan | – | 495,476 | 563,994 | 1,425.05 | 348 | 1.3% | 17,630 |
| Pamekasan | – | 743,209 | 786,236 | 801.48 | 927 | 2% | 47,000 |
| Pasuruan | – | 1,681,055 | 1,790,450 | 1,497.62 | 1,122 | 4.5% | 331,096 |
| Ponorogo | – | 847,720 | 985,801 | 1,422.72 | 596 | 2.3% | 0 |
| Probolinggo | – | 1,010,732 | 1,127,662 | 1,732.76 | 583 | 2.7% | 117,884 |
| Sampang | – | 826,081 | 935,363 | 1,231.19 | 671 | 2.2% | 70,842 |
| Sidoarjo | – | 2,059,430 | 2,105,798 | 728.72 | 2,826 | 5.5% | 1,489,065 |
| Situbondo | – | 563,029 | 611,755 | 1,666.51 | 338 | 1.5% | 72,548 |
| Sumenep | – | 833,231 | 952,194 | 2,094.03 | 398 | 2.2% | 105,441 |
| Trenggalek | – | 650,764 | 741,242 | 1,253.2 | 519 | 1.7% | 8,046 |
| Tuban | – | 1,115,436 | 1,214,536 | 1,985.98 | 562 | 3% | 143,443 |
| Tulungagung | – | 1,003,079 | 1,130,170 | 1,156.08 | 868 | 2.7% | 59 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 432.3 H3 cells
- Bandari
- 1 H3 cells
- Viwanja vya ndege
- 1 H3 cells
- Major roads
- 1,275.3 H3 cells
- Reli
- 867.8 H3 cells
- Rivers and lakes
- None at this resolution
Risk values
Neighbouring units
- ID-BABali
- ID-JTCentral Java
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen IDN ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen IDN ADM2, source: Badan Pusat Statistik (BPS – Statistics Indonesia), World Food Programme, OCHA ROAP, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- Nchi
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Hali
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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NXS-GRX si nini
NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.
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Taasisi na vyanzo
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.