District-wise industrial statistics from MahaSDB including Annual Survey of Industries (ASI) data, factory counts, employment in registered factories, industrial output, and investment. Maharashtra is India's most industrialized state. Data covers MIDC industrial areas, factory employment, gross value added, and sector-wise industrial production critical for economic planning and labor market analysis.
import pandas as pd
# Download from https://mahasdb.maharashtra.gov.in/
# Navigate to Industry sector for district-wise factory statistics
df = pd.read_csv('mahasdb_industry.csv')
print(f"Districts: {df['district'].nunique()}")
print(df.groupby('district')['factory_employment'].sum().sort_values(ascending=False).head(10))| Field | Type | Description |
|---|---|---|
| district | string | District name |
| registered_factories | int | Number of registered factories |
| factory_employment | int | Total employment in registered factories |
| gross_output_crore | float | Gross industrial output in crores INR |
| sector | string | Industrial sector classification |
| year | int | Data year |