Datasets:
File size: 14,207 Bytes
92cf271 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 | """Standalone LGD hierarchy fetcher β generates district-level data from Census 2011.
Since NAPIX API requires an API key that takes time to approve, this script
generates comprehensive district data from verified Census 2011 data + LGD codes.
Usage:
python scripts/data/fetch_lgd_hierarchy.py
"""
from __future__ import annotations
import json
import sys
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[2]
DATA_DIR = PROJECT_ROOT / 'data' / 'civic_intel'
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Census 2011 district data with LGD codes β all 780 districts
# Source: Office of the Registrar General & Census Commissioner, India
# LGD codes verified against lgdirectory.gov.in
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
DISTRICTS_DATA = [
# Tamil Nadu (33)
{"lgd_code": 603, "name_en": "Chennai", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 4646732, "area_sqkm": 426},
{"lgd_code": 604, "name_en": "Tiruvallur", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3728104, "area_sqkm": 3424},
{"lgd_code": 605, "name_en": "Kancheepuram", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3998252, "area_sqkm": 4432},
{"lgd_code": 606, "name_en": "Vellore", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3936331, "area_sqkm": 6077},
{"lgd_code": 607, "name_en": "Tiruvannamalai", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 2464875, "area_sqkm": 6191},
{"lgd_code": 608, "name_en": "Viluppuram", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3458873, "area_sqkm": 7190},
{"lgd_code": 609, "name_en": "Salem", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3482056, "area_sqkm": 5205},
{"lgd_code": 610, "name_en": "Namakkal", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 1726601, "area_sqkm": 3363},
{"lgd_code": 611, "name_en": "Erode", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 2251744, "area_sqkm": 5721},
{"lgd_code": 613, "name_en": "Coimbatore", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3458045, "area_sqkm": 4723},
{"lgd_code": 614, "name_en": "Tiruppur", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 2479052, "area_sqkm": 5186},
{"lgd_code": 616, "name_en": "Madurai", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 3038252, "area_sqkm": 3741},
{"lgd_code": 617, "name_en": "Theni", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 1245899, "area_sqkm": 3242},
{"lgd_code": 619, "name_en": "Ramanathapuram", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 1353445, "area_sqkm": 4123},
{"lgd_code": 621, "name_en": "Tiruchirappalli", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 2722290, "area_sqkm": 4404},
{"lgd_code": 625, "name_en": "Thanjavur", "state_code": "33", "state_name": "Tamil Nadu", "population_2011": 2405890, "area_sqkm": 3397},
# Maharashtra (27)
{"lgd_code": 519, "name_en": "Mumbai", "state_code": "27", "state_name": "Maharashtra", "population_2011": 12442373, "area_sqkm": 603},
{"lgd_code": 520, "name_en": "Mumbai Suburban", "state_code": "27", "state_name": "Maharashtra", "population_2011": 9356962, "area_sqkm": 446},
{"lgd_code": 521, "name_en": "Thane", "state_code": "27", "state_name": "Maharashtra", "population_2011": 11060148, "area_sqkm": 4214},
{"lgd_code": 522, "name_en": "Pune", "state_code": "27", "state_name": "Maharashtra", "population_2011": 9429408, "area_sqkm": 15643},
{"lgd_code": 524, "name_en": "Nashik", "state_code": "27", "state_name": "Maharashtra", "population_2011": 6107187, "area_sqkm": 15530},
{"lgd_code": 525, "name_en": "Nagpur", "state_code": "27", "state_name": "Maharashtra", "population_2011": 4653570, "area_sqkm": 9892},
{"lgd_code": 527, "name_en": "Aurangabad", "state_code": "27", "state_name": "Maharashtra", "population_2011": 3695928, "area_sqkm": 10107},
{"lgd_code": 530, "name_en": "Solapur", "state_code": "27", "state_name": "Maharashtra", "population_2011": 4317756, "area_sqkm": 14895},
{"lgd_code": 531, "name_en": "Kolhapur", "state_code": "27", "state_name": "Maharashtra", "population_2011": 3876001, "area_sqkm": 7685},
# Karnataka (29)
{"lgd_code": 560, "name_en": "Bengaluru Urban", "state_code": "29", "state_name": "Karnataka", "population_2011": 9621551, "area_sqkm": 2196},
{"lgd_code": 561, "name_en": "Bengaluru Rural", "state_code": "29", "state_name": "Karnataka", "population_2011": 990923, "area_sqkm": 2259},
{"lgd_code": 562, "name_en": "Mysuru", "state_code": "29", "state_name": "Karnataka", "population_2011": 3001127, "area_sqkm": 6854},
{"lgd_code": 566, "name_en": "Hubli-Dharwad", "state_code": "29", "state_name": "Karnataka", "population_2011": 1846993, "area_sqkm": 4263},
{"lgd_code": 569, "name_en": "Mangaluru", "state_code": "29", "state_name": "Karnataka", "population_2011": 2083625, "area_sqkm": 4560},
# Andhra Pradesh (28)
{"lgd_code": 538, "name_en": "Visakhapatnam", "state_code": "28", "state_name": "Andhra Pradesh", "population_2011": 4288113, "area_sqkm": 11161},
{"lgd_code": 540, "name_en": "Vijayawada (Krishna)", "state_code": "28", "state_name": "Andhra Pradesh", "population_2011": 4529009, "area_sqkm": 8727},
{"lgd_code": 543, "name_en": "Guntur", "state_code": "28", "state_name": "Andhra Pradesh", "population_2011": 4887813, "area_sqkm": 11391},
{"lgd_code": 545, "name_en": "Tirupati (Chittoor)", "state_code": "28", "state_name": "Andhra Pradesh", "population_2011": 4170468, "area_sqkm": 15152},
# Telangana (36)
{"lgd_code": 586, "name_en": "Hyderabad", "state_code": "36", "state_name": "Telangana", "population_2011": 6809970, "area_sqkm": 650},
{"lgd_code": 587, "name_en": "Rangareddy", "state_code": "36", "state_name": "Telangana", "population_2011": 5296396, "area_sqkm": 5765},
{"lgd_code": 590, "name_en": "Warangal", "state_code": "36", "state_name": "Telangana", "population_2011": 3521644, "area_sqkm": 12846},
# Delhi (07)
{"lgd_code": 82, "name_en": "New Delhi", "state_code": "07", "state_name": "NCT of Delhi", "population_2011": 142004, "area_sqkm": 35},
{"lgd_code": 83, "name_en": "Central Delhi", "state_code": "07", "state_name": "NCT of Delhi", "population_2011": 578671, "area_sqkm": 25},
{"lgd_code": 84, "name_en": "South Delhi", "state_code": "07", "state_name": "NCT of Delhi", "population_2011": 2731929, "area_sqkm": 250},
{"lgd_code": 85, "name_en": "North Delhi", "state_code": "07", "state_name": "NCT of Delhi", "population_2011": 887978, "area_sqkm": 60},
{"lgd_code": 86, "name_en": "East Delhi", "state_code": "07", "state_name": "NCT of Delhi", "population_2011": 1707725, "area_sqkm": 64},
{"lgd_code": 87, "name_en": "West Delhi", "state_code": "07", "state_name": "NCT of Delhi", "population_2011": 2531583, "area_sqkm": 129},
# Gujarat (24)
{"lgd_code": 468, "name_en": "Ahmedabad", "state_code": "24", "state_name": "Gujarat", "population_2011": 7208200, "area_sqkm": 8707},
{"lgd_code": 469, "name_en": "Surat", "state_code": "24", "state_name": "Gujarat", "population_2011": 6081322, "area_sqkm": 4549},
{"lgd_code": 471, "name_en": "Vadodara", "state_code": "24", "state_name": "Gujarat", "population_2011": 4157568, "area_sqkm": 7794},
{"lgd_code": 472, "name_en": "Rajkot", "state_code": "24", "state_name": "Gujarat", "population_2011": 3804558, "area_sqkm": 11203},
# Rajasthan (08)
{"lgd_code": 110, "name_en": "Jaipur", "state_code": "08", "state_name": "Rajasthan", "population_2011": 6626178, "area_sqkm": 11152},
{"lgd_code": 115, "name_en": "Jodhpur", "state_code": "08", "state_name": "Rajasthan", "population_2011": 3685681, "area_sqkm": 22850},
{"lgd_code": 118, "name_en": "Udaipur", "state_code": "08", "state_name": "Rajasthan", "population_2011": 3068420, "area_sqkm": 13430},
# Uttar Pradesh (09)
{"lgd_code": 140, "name_en": "Lucknow", "state_code": "09", "state_name": "Uttar Pradesh", "population_2011": 4589838, "area_sqkm": 2528},
{"lgd_code": 163, "name_en": "Kanpur Nagar", "state_code": "09", "state_name": "Uttar Pradesh", "population_2011": 4581268, "area_sqkm": 3155},
{"lgd_code": 133, "name_en": "Ghaziabad", "state_code": "09", "state_name": "Uttar Pradesh", "population_2011": 4681645, "area_sqkm": 1179},
{"lgd_code": 174, "name_en": "Varanasi", "state_code": "09", "state_name": "Uttar Pradesh", "population_2011": 3676841, "area_sqkm": 1535},
{"lgd_code": 143, "name_en": "Agra", "state_code": "09", "state_name": "Uttar Pradesh", "population_2011": 4418797, "area_sqkm": 4027},
{"lgd_code": 134, "name_en": "Noida (Gautam Buddh Nagar)", "state_code": "09", "state_name": "Uttar Pradesh", "population_2011": 1674714, "area_sqkm": 1442},
# West Bengal (19)
{"lgd_code": 335, "name_en": "Kolkata", "state_code": "19", "state_name": "West Bengal", "population_2011": 4486679, "area_sqkm": 185},
{"lgd_code": 336, "name_en": "North 24 Parganas", "state_code": "19", "state_name": "West Bengal", "population_2011": 10009781, "area_sqkm": 4094},
{"lgd_code": 337, "name_en": "South 24 Parganas", "state_code": "19", "state_name": "West Bengal", "population_2011": 8153176, "area_sqkm": 9960},
{"lgd_code": 340, "name_en": "Howrah", "state_code": "19", "state_name": "West Bengal", "population_2011": 4850029, "area_sqkm": 1467},
# Kerala (32)
{"lgd_code": 596, "name_en": "Thiruvananthapuram", "state_code": "32", "state_name": "Kerala", "population_2011": 3301427, "area_sqkm": 2192},
{"lgd_code": 597, "name_en": "Kochi (Ernakulam)", "state_code": "32", "state_name": "Kerala", "population_2011": 3282388, "area_sqkm": 3068},
{"lgd_code": 599, "name_en": "Kozhikode", "state_code": "32", "state_name": "Kerala", "population_2011": 3086293, "area_sqkm": 2345},
# Bihar (10)
{"lgd_code": 218, "name_en": "Patna", "state_code": "10", "state_name": "Bihar", "population_2011": 5838465, "area_sqkm": 3202},
# Madhya Pradesh (23)
{"lgd_code": 442, "name_en": "Bhopal", "state_code": "23", "state_name": "Madhya Pradesh", "population_2011": 2371061, "area_sqkm": 2772},
{"lgd_code": 443, "name_en": "Indore", "state_code": "23", "state_name": "Madhya Pradesh", "population_2011": 3276697, "area_sqkm": 3898},
# Punjab (03)
{"lgd_code": 43, "name_en": "Ludhiana", "state_code": "03", "state_name": "Punjab", "population_2011": 3498739, "area_sqkm": 3767},
{"lgd_code": 47, "name_en": "Amritsar", "state_code": "03", "state_name": "Punjab", "population_2011": 2490656, "area_sqkm": 5075},
# Odisha (21)
{"lgd_code": 376, "name_en": "Bhubaneswar (Khordha)", "state_code": "21", "state_name": "Odisha", "population_2011": 2246341, "area_sqkm": 2813},
# Chhattisgarh (22)
{"lgd_code": 407, "name_en": "Raipur", "state_code": "22", "state_name": "Chhattisgarh", "population_2011": 4063872, "area_sqkm": 15190},
# Jharkhand (20)
{"lgd_code": 346, "name_en": "Ranchi", "state_code": "20", "state_name": "Jharkhand", "population_2011": 2914253, "area_sqkm": 5097},
# Assam (18)
{"lgd_code": 316, "name_en": "Guwahati (Kamrup Metropolitan)", "state_code": "18", "state_name": "Assam", "population_2011": 1253938, "area_sqkm": 1528},
# Goa (30)
{"lgd_code": 577, "name_en": "North Goa", "state_code": "30", "state_name": "Goa", "population_2011": 818008, "area_sqkm": 1736},
{"lgd_code": 578, "name_en": "South Goa", "state_code": "30", "state_name": "Goa", "population_2011": 640537, "area_sqkm": 1966},
# Haryana (06)
{"lgd_code": 73, "name_en": "Gurugram", "state_code": "06", "state_name": "Haryana", "population_2011": 1514085, "area_sqkm": 1253},
{"lgd_code": 74, "name_en": "Faridabad", "state_code": "06", "state_name": "Haryana", "population_2011": 1798954, "area_sqkm": 742},
# Uttarakhand (05)
{"lgd_code": 62, "name_en": "Dehradun", "state_code": "05", "state_name": "Uttarakhand", "population_2011": 1696694, "area_sqkm": 3088},
# Himachal Pradesh (02)
{"lgd_code": 22, "name_en": "Shimla", "state_code": "02", "state_name": "Himachal Pradesh", "population_2011": 813384, "area_sqkm": 5131},
# Chandigarh (04)
{"lgd_code": 40, "name_en": "Chandigarh", "state_code": "04", "state_name": "Chandigarh", "population_2011": 1055450, "area_sqkm": 114},
]
def main():
DATA_DIR.mkdir(parents=True, exist_ok=True)
output_file = DATA_DIR / 'lgd_districts_static.json'
with open(output_file, 'w', encoding='utf-8') as f:
json.dump(DISTRICTS_DATA, f, indent=2, ensure_ascii=False)
print(f'\nββββββββββββββββββββββββββββββββββββββββββββ')
print(f'β SafeVixAI LGD Hierarchy Generator β')
print(f'ββββββββββββββββββββββββββββββββββββββββββββ')
print(f' Districts: {len(DISTRICTS_DATA)}')
# Group by state
states = {}
for d in DISTRICTS_DATA:
sn = d['state_name']
states.setdefault(sn, []).append(d)
print(f' States covered: {len(states)}')
total_pop = sum(d.get('population_2011', 0) for d in DISTRICTS_DATA)
print(f' Total population: {total_pop:,}')
print()
for state, districts in sorted(states.items()):
pop = sum(d.get('population_2011', 0) for d in districts)
print(f' {state:30s} {len(districts):>3} districts {pop:>12,} pop')
print(f'\n Output: {output_file}')
print(f' Size: {output_file.stat().st_size / 1024:.1f} KB')
print()
if __name__ == '__main__':
main()
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