Community suitability of Madhya Pradesh, India
Moderately suitable confidence B · live score 67
82
best land · p90
98%
good land
—
one block
How each domain holds up
Legal & sovereignty 53
Governance, safety & tenure 54
Society, freedom & health 75
Land & water 90
Climate, growing & hazards 66
Autonomy & access 97
Where it pushes back
Growing conditionsFood & forage diversityGovernance & corruption
Within Madhya Pradesh — 48 sub-regions
Estimated finer-grained reads from the same open data. Phase-1, not yet verified.
Dindori
strongest Autonomy & access (93) ·
weakest Legal & sovereignty (53)
pushes back: Governance & corruption
Moderately suitable 70
Mandla
strongest Autonomy & access (98) ·
weakest Legal & sovereignty (53)
pushes back: Governance & corruption
Moderately suitable 69
Shahdol
strongest Autonomy & access (100) ·
weakest Legal & sovereignty (53)
pushes back: Growing conditions
Moderately suitable 69
Balaghat
strongest Autonomy & access (98) ·
weakest Legal & sovereignty (53)
pushes back: Growing conditions
Moderately suitable 69
Betul
strongest Autonomy & access (99) ·
weakest Legal & sovereignty (53)
pushes back: Growing conditions
Moderately suitable 69
Chhindwara
pushes back: Growing conditions
Moderately suitable 69
Umaria
pushes back: Growing conditions
Moderately suitable 68
Damoh
pushes back: Growing conditions
Moderately suitable 68
Panna
pushes back: Growing conditions
Moderately suitable 68
Harda
pushes back: Food & forage diversity
Moderately suitable 67
Katni
pushes back: Growing conditions
Moderately suitable 67
Sheopur
pushes back: Food & forage diversity
Moderately suitable 67
Guna
pushes back: Food & forage diversity
Moderately suitable 67
Ashoknagar
pushes back: Food & forage diversity
Moderately suitable 67
Chhatarpur
pushes back: Growing conditions
Moderately suitable 67
Jhabua
pushes back: Growing conditions
Moderately suitable 67
Raisen
pushes back: Growing conditions
Moderately suitable 67
Sagar
pushes back: Growing conditions
Moderately suitable 67
Sehore
pushes back: Growing conditions
Moderately suitable 67
Seoni
pushes back: Growing conditions
Moderately suitable 67
Shivpuri
pushes back: Food & forage diversity
Moderately suitable 67
Vidisha
pushes back: Growing conditions
Moderately suitable 67
Hoshangabad
pushes back: Food & forage diversity
Moderately suitable 66
Mandsaur
pushes back: Food & forage diversity
Moderately suitable 66
West Nimar
pushes back: Growing conditions
Moderately suitable 66
Barwani
pushes back: Growing conditions
Moderately suitable 66
East Nimar
pushes back: Growing conditions
Moderately suitable 66
Dewas
pushes back: Growing conditions
Moderately suitable 66
Dhar
pushes back: Growing conditions
Moderately suitable 66
Indore
pushes back: Food & forage diversity
Moderately suitable 66
Narsinghpur
pushes back: Growing conditions
Moderately suitable 66
Ratlam
pushes back: Growing conditions
Moderately suitable 66
Rewa
pushes back: Growing conditions
Moderately suitable 66
Shajapur
pushes back: Growing conditions
Moderately suitable 66
Sidhi
pushes back: Growing conditions
Moderately suitable 66
Burhanpur
pushes back: Growing conditions
Moderately suitable 66
Jabalpur
pushes back: Growing conditions
Moderately suitable 65
Rajgarh
pushes back: Growing conditions
Moderately suitable 65
Neemuch
pushes back: Food & forage diversity
Moderately suitable 65
Bhopal
pushes back: Growing conditions
Moderately suitable 65
Datia
pushes back: Food & forage diversity
Moderately suitable 65
Gwalior
pushes back: Food & forage diversity
Moderately suitable 65
Tikamgarh
pushes back: Growing conditions
Moderately suitable 65
Ujjain
pushes back: Food & forage diversity
Moderately suitable 65
Morena
pushes back: Food & forage diversity
Moderately suitable 64
Anuppur
pushes back: Growing conditions
Moderately suitable 64
Bhind
pushes back: Food & forage diversity
Moderately suitable 64
Satna
pushes back: Growing conditions
Moderately suitable 64
Reading the land, criterion by criterion
Each signal names the open dataset behind it and how measured it is.
Legal entity & land frameworkcountry B OECD FDI RRI + manual
Seed & agricultural autonomycountry C UPOV membership proxy
Governance & corruptioncountry A World Bank WGI + Transparency CPI
Land tenure securitycountry A IPRI (de jure) + Prindex (de facto)
Business & economic viabilitycountry A World Bank B-READY, Heritage, Fraser
Cost of living, labour & landcountry A World Bank PPP, ILOSTAT
Personal freedomcountry A Cato/Fraser Human Freedom Index
Healthcare qualitycountry B WHO GHO
Disease / vector burden A Malaria Atlas + dengue Index P
Soil quality A SoilGrids (ISRIC)
Water availability & quality A WRI Aqueduct + AQUASTAT
Terrain & buildability A SRTM / NASADEM
Land cover & degradation A ESA WorldCover + Global Forest Watch
Biodiversity & alignment B Biodiversity Intactness Index
Climate & natural hazards A ThinkHazard + NASA FIRMS + USGS
Growing conditions A CHELSA / FAO GAEZ
Food & forage diversity B FAO GAEZ crop suitability + GLW
Coastal risk B Climate Central CoastalDEM
Energy potential A Global Solar Atlas + Global Wind Atlas
Natural building materials B SoilGrids clay + forest + geology
Environmental quality A SEDAC PM2.5 + VIIRS night-lights
Accessibility A Malaria Atlas friction surface
Remoteness / surroundings A GPWv4 population density
Contamination legacy C Maus mining polygons + WRI power plants
Phase-1 desk screening
These are desk numbers from open data. Soil tests, water rights and the welcome of actual neighbours all wait for a visit — we'd rather say so than pretend.
Other regions in India
Compare nearby options, ranked by overall suitability.