| { | |
| "states": { | |
| "Delhi": { | |
| "literacy": 86.2, | |
| "population": 16.8, | |
| "population_unit": "million", | |
| "employment": 72.5, | |
| "gdp_contribution": 4.2, | |
| "urbanization": 97.5, | |
| "rainfall": 617, | |
| "development_level": "Highly Developing", | |
| "main_crops": ["Wheat", "Rice", "Vegetables"], | |
| "industries": ["IT", "Trade", "Manufacturing", "Finance"], | |
| "agriculture_score": 30, | |
| "industry_score": 85, | |
| "hdi": 0.746, | |
| "per_capita_income": 401000, | |
| "color": "#00f5ff" | |
| }, | |
| "Maharashtra": { | |
| "literacy": 82.9, | |
| "population": 112.4, | |
| "population_unit": "million", | |
| "employment": 68.3, | |
| "gdp_contribution": 15.2, | |
| "urbanization": 45.2, | |
| "rainfall": 1400, | |
| "development_level": "Highly Developing", | |
| "main_crops": ["Sugarcane", "Cotton", "Soybean", "Jowar"], | |
| "industries": ["Automobiles", "Petrochemicals", "IT", "Finance", "Textiles"], | |
| "agriculture_score": 65, | |
| "industry_score": 92, | |
| "hdi": 0.696, | |
| "per_capita_income": 198000, | |
| "color": "#a855f7" | |
| }, | |
| "Kerala": { | |
| "literacy": 96.2, | |
| "population": 33.4, | |
| "population_unit": "million", | |
| "employment": 74.1, | |
| "gdp_contribution": 4.0, | |
| "urbanization": 47.7, | |
| "rainfall": 3107, | |
| "development_level": "Highly Developing", | |
| "main_crops": ["Rice", "Coconut", "Rubber", "Spices", "Tea"], | |
| "industries": ["Tourism", "Fisheries", "Cashew Processing", "Coir", "IT"], | |
| "agriculture_score": 72, | |
| "industry_score": 68, | |
| "hdi": 0.784, | |
| "per_capita_income": 204000, | |
| "color": "#22c55e" | |
| }, | |
| "Punjab": { | |
| "literacy": 75.8, | |
| "population": 27.7, | |
| "population_unit": "million", | |
| "employment": 69.2, | |
| "gdp_contribution": 2.8, | |
| "urbanization": 37.5, | |
| "rainfall": 649, | |
| "development_level": "Highly Developing", | |
| "main_crops": ["Wheat", "Rice", "Maize", "Cotton", "Sugarcane"], | |
| "industries": ["Agro-processing", "Textiles", "Sports Goods", "Cycles", "Engineering"], | |
| "agriculture_score": 95, | |
| "industry_score": 60, | |
| "hdi": 0.679, | |
| "per_capita_income": 162000, | |
| "color": "#f59e0b" | |
| }, | |
| "Bihar": { | |
| "literacy": 61.8, | |
| "population": 104.1, | |
| "population_unit": "million", | |
| "employment": 48.6, | |
| "gdp_contribution": 2.4, | |
| "urbanization": 11.3, | |
| "rainfall": 1200, | |
| "development_level": "Underdeveloped", | |
| "main_crops": ["Rice", "Wheat", "Maize", "Sugarcane", "Vegetables"], | |
| "industries": ["Agriculture", "Small Scale Industries", "Mining"], | |
| "agriculture_score": 70, | |
| "industry_score": 22, | |
| "hdi": 0.576, | |
| "per_capita_income": 44000, | |
| "color": "#ef4444" | |
| }, | |
| "Uttar Pradesh": { | |
| "literacy": 67.7, | |
| "population": 199.8, | |
| "population_unit": "million", | |
| "employment": 52.4, | |
| "gdp_contribution": 8.4, | |
| "urbanization": 22.3, | |
| "rainfall": 900, | |
| "development_level": "Developing", | |
| "main_crops": ["Wheat", "Rice", "Sugarcane", "Potato", "Mustard"], | |
| "industries": ["Leather", "Sugar", "Textiles", "IT (Noida)", "Handicrafts"], | |
| "agriculture_score": 82, | |
| "industry_score": 45, | |
| "hdi": 0.596, | |
| "per_capita_income": 65000, | |
| "color": "#f97316" | |
| }, | |
| "Tamil Nadu": { | |
| "literacy": 80.1, | |
| "population": 72.1, | |
| "population_unit": "million", | |
| "employment": 71.8, | |
| "gdp_contribution": 9.2, | |
| "urbanization": 48.4, | |
| "rainfall": 998, | |
| "development_level": "Highly Developing", | |
| "main_crops": ["Rice", "Sugarcane", "Cotton", "Groundnut", "Bananas"], | |
| "industries": ["Automobiles", "Leather", "Textiles", "IT", "Chemicals"], | |
| "agriculture_score": 70, | |
| "industry_score": 88, | |
| "hdi": 0.708, | |
| "per_capita_income": 213000, | |
| "color": "#06b6d4" | |
| }, | |
| "Gujarat": { | |
| "literacy": 78.0, | |
| "population": 60.4, | |
| "population_unit": "million", | |
| "employment": 70.5, | |
| "gdp_contribution": 8.0, | |
| "urbanization": 42.6, | |
| "rainfall": 820, | |
| "development_level": "Highly Developing", | |
| "main_crops": ["Cotton", "Groundnut", "Tobacco", "Bajra", "Wheat"], | |
| "industries": ["Petrochemicals", "Textiles", "Pharmaceuticals", "Diamonds", "Salt"], | |
| "agriculture_score": 72, | |
| "industry_score": 90, | |
| "hdi": 0.672, | |
| "per_capita_income": 214000, | |
| "color": "#8b5cf6" | |
| }, | |
| "Rajasthan": { | |
| "literacy": 66.1, | |
| "population": 68.6, | |
| "population_unit": "million", | |
| "employment": 55.3, | |
| "gdp_contribution": 5.0, | |
| "urbanization": 24.9, | |
| "rainfall": 531, | |
| "development_level": "Developing", | |
| "main_crops": ["Bajra", "Wheat", "Mustard", "Jowar", "Pulses"], | |
| "industries": ["Textiles", "Marble", "Mining", "Tourism", "Handicrafts"], | |
| "agriculture_score": 55, | |
| "industry_score": 50, | |
| "hdi": 0.629, | |
| "per_capita_income": 115000, | |
| "color": "#ec4899" | |
| }, | |
| "West Bengal": { | |
| "literacy": 76.3, | |
| "population": 91.3, | |
| "population_unit": "million", | |
| "employment": 60.2, | |
| "gdp_contribution": 6.1, | |
| "urbanization": 31.9, | |
| "rainfall": 1582, | |
| "development_level": "Developing", | |
| "main_crops": ["Rice", "Jute", "Tea", "Potato", "Mustard"], | |
| "industries": ["Jute", "Engineering", "IT", "Textiles", "Steel"], | |
| "agriculture_score": 80, | |
| "industry_score": 65, | |
| "hdi": 0.641, | |
| "per_capita_income": 97000, | |
| "color": "#14b8a6" | |
| } | |
| }, | |
| "national_stats": { | |
| "gdp_growth": [6.1, 7.2, 8.4, 6.8, 7.6, 8.2, 4.0, 8.7, 7.2, 6.5], | |
| "gdp_years": [2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023], | |
| "literacy_trend": [64.8, 66.0, 67.5, 69.2, 71.1, 73.0, 74.4, 75.2, 76.3, 77.7], | |
| "employment_sectors": { | |
| "Primary": 42.6, | |
| "Secondary": 25.1, | |
| "Tertiary": 32.3 | |
| }, | |
| "agriculture_contribution": [18.4, 17.8, 17.9, 17.2, 16.1, 15.9, 19.9, 18.8, 18.6, 17.5], | |
| "total_population": 1428, | |
| "total_gdp_usd_trillion": 3.7, | |
| "avg_literacy": 77.7, | |
| "urbanization_rate": 36.4 | |
| }, | |
| "sst_concepts": { | |
| "sectors": { | |
| "primary": "Activities related to extraction of natural resources - farming, mining, fishing, forestry", | |
| "secondary": "Activities that transform raw materials into manufactured goods - manufacturing, construction", | |
| "tertiary": "Service sector activities - banking, education, healthcare, transport, IT" | |
| }, | |
| "development_indicators": ["HDI", "Per Capita Income", "Literacy Rate", "Life Expectancy", "Infant Mortality Rate", "GDP Growth"], | |
| "types_of_unemployment": ["Seasonal", "Disguised", "Structural", "Frictional", "Cyclical"] | |
| } | |
| } |