{
  "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"]
  }
}