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Datasets:
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cpcb

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Files changed (10) hide show
  1. .gitattributes +2 -0
  2. DATA_DICTIONARY.md +160 -0
  3. cities_needs_review.csv +16 -0
  4. city_geocode_cache.json +3711 -0
  5. cpcb_clean_report.md +70 -0
  6. duplicate_downloads.csv +9 -0
  7. eda_report.md +123 -0
  8. merged_cpcb_clean.csv +3 -0
  9. merged_cpcb_data.csv +3 -0
  10. state_mismatch_audit.csv +70 -0
.gitattributes CHANGED
@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
58
  # Video files - compressed
59
  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
58
  # Video files - compressed
59
  *.mp4 filter=lfs diff=lfs merge=lfs -text
60
  *.webm filter=lfs diff=lfs merge=lfs -text
61
+ merged_cpcb_clean.csv filter=lfs diff=lfs merge=lfs -text
62
+ merged_cpcb_data.csv filter=lfs diff=lfs merge=lfs -text
DATA_DICTIONARY.md ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # CPCB Clean Dataset -- Final Data Dictionary
2
+
3
+ Generated from: `merged_cpcb_clean.csv`
4
+ File size on disk: **151.6 MB**
5
+
6
+ ## Dataset Overview
7
+ - Rows: **972,562**
8
+ - Columns: **20**
9
+ - Date range: **2009-01-01 to 2025-12-31** (0 rows with unparseable date)
10
+
11
+ ## Column-by-Column Dictionary
12
+ Every `dtype` below is read directly from `df.dtypes` on the actual loaded file -- not assumed. Every `unit` is sourced as noted; where no unit applies (categorical/text/boolean fields) that's stated explicitly instead of left blank.
13
+
14
+ ### `date`
15
+ - **dtype (as loaded by pandas):** `object`
16
+ - **unit:** calendar date (IST local, no time-of-day) _(source: clean_cpcb.py docstring: 'CPCB timestamps are IST local')_
17
+ - **non-null:** 972,562 / 972,562 (100.0%)
18
+ - **unique values:** 6,209
19
+ - **top 5 values:** {'2025-10-21': 514, '2025-10-24': 514, '2025-10-22': 513, '2025-10-20': 513, '2025-10-23': 512}
20
+ - **sample values:** ['2009-01-01', '2009-01-01', '2009-01-01']
21
+
22
+ ### `station`
23
+ - **dtype (as loaded by pandas):** `object`
24
+ - **unit:** N/A -- free-text station name, parsed from source filename
25
+ - **non-null:** 972,562 / 972,562 (100.0%)
26
+ - **unique values:** 532
27
+ - **top 5 values:** {'Nehru Nagar': 8005, 'Shastri Nagar': 7302, 'Collectorate': 6577, 'Anand Vihar': 6327, 'Shadipur': 5941}
28
+ - **sample values:** ['DTU', 'ITO', 'NSIT Dwarka']
29
+
30
+ ### `city`
31
+ - **dtype (as loaded by pandas):** `object`
32
+ - **unit:** N/A -- free-text city name, parsed from source filename
33
+ - **non-null:** 972,562 / 972,562 (100.0%)
34
+ - **unique values:** 289
35
+ - **top 5 values:** {'Delhi': 116163, 'Mumbai': 46430, 'Bengaluru': 39281, 'Hyderabad': 30930, 'Chennai': 25919}
36
+ - **sample values:** ['Delhi', 'Delhi', 'Delhi']
37
+
38
+ ### `state`
39
+ - **dtype (as loaded by pandas):** `object`
40
+ - **unit:** N/A -- categorical -- from State_Geocoded (Nominatim's returned state), PRIMARY state field
41
+ - **non-null:** 850,652 / 972,562 (87.5%)
42
+ - **unique values:** 30
43
+ - **top 5 values:** {'Maharashtra': 127095, nan: 121910, 'Uttar Pradesh': 120153, 'Karnataka': 86218, 'Haryana': 68098}
44
+ - **sample values:** ['Karnataka', 'Karnataka', 'Karnataka']
45
+
46
+ ### `state_hint`
47
+ - **dtype (as loaded by pandas):** `object`
48
+ - **unit:** N/A -- categorical -- from State_Hint, canonical state mapped from the source folder name
49
+ - **non-null:** 972,562 / 972,562 (100.0%)
50
+ - **unique values:** 31
51
+ - **top 5 values:** {'Maharashtra': 127095, 'Delhi': 121910, 'Uttar Pradesh': 120153, 'Karnataka': 86218, 'Bihar': 72673}
52
+ - **sample values:** ['Delhi', 'Delhi', 'Delhi']
53
+
54
+ ### `state_mismatch_flag`
55
+ - **dtype (as loaded by pandas):** `object`
56
+ - **unit:** N/A -- boolean -- True if state_hint disagrees with the geocoded state
57
+ - **non-null:** 850,652 / 972,562 (87.5%)
58
+ - **unique values:** 2
59
+ - **top 5 values:** {False: 841064, nan: 121910, True: 9588}
60
+ - **sample values:** [False, False, False]
61
+
62
+ ### `geocode_confidence`
63
+ - **dtype (as loaded by pandas):** `object`
64
+ - **unit:** N/A -- categorical enum: high / medium / medium_state_mismatch / low_ambiguous / not_found
65
+ - **non-null:** 972,562 / 972,562 (100.0%)
66
+ - **unique values:** 3
67
+ - **top 5 values:** {'high': 841064, 'medium_state_mismatch': 126158, 'low_ambiguous': 5340}
68
+ - **sample values:** ['medium_state_mismatch', 'medium_state_mismatch', 'medium_state_mismatch']
69
+
70
+ ### `agency`
71
+ - **dtype (as loaded by pandas):** `object`
72
+ - **unit:** N/A -- free-text monitoring agency code (e.g. CPCB, UPPCB, MPCB), parsed from source filename
73
+ - **non-null:** 972,562 / 972,562 (100.0%)
74
+ - **unique values:** 49
75
+ - **top 5 values:** {'UPPCB': 99695, 'MPCB': 98974, 'CPCB': 80590, 'DPCC': 73243, 'KSPCB': 70341}
76
+ - **sample values:** ['CPCB', 'CPCB', 'CPCB']
77
+
78
+ ### `lat`
79
+ - **dtype (as loaded by pandas):** `float64`
80
+ - **unit:** decimal degrees (WGS84) _(source: Nominatim/OpenStreetMap geocoder output format)_
81
+ - **non-null:** 972,562 / 972,562 (100.0%)
82
+ - **unique values:** 289
83
+ - **min:** 8.4882 **max:** 34.0747 **mean:** 22.9735 **median:** 24.7964
84
+
85
+ ### `lon`
86
+ - **dtype (as loaded by pandas):** `float64`
87
+ - **unit:** decimal degrees (WGS84) _(source: Nominatim/OpenStreetMap geocoder output format)_
88
+ - **non-null:** 972,562 / 972,562 (100.0%)
89
+ - **unique values:** 289
90
+ - **min:** 70.7775 **max:** 94.6394 **mean:** 78.5007 **median:** 77.3091
91
+
92
+ ### `coverage_area_km2`
93
+ - **dtype (as loaded by pandas):** `float64`
94
+ - **unit:** km² _(source: computed from Nominatim bounding box by cpcb_pipeline.py)_
95
+ - **non-null:** 972,562 / 972,562 (100.0%)
96
+ - **unique values:** 266
97
+ - **min:** 0 **max:** 63,238.2000 **mean:** 2,805.6955 **median:** 1,141.7000
98
+
99
+ ### `pm25`
100
+ - **dtype (as loaded by pandas):** `float64`
101
+ - **unit:** µg/m³ _(source: from raw column 'PM2.5 (µg/m³)')_
102
+ - **non-null:** 906,236 / 972,562 (93.2%)
103
+ - **unique values:** 156,644
104
+ - **min:** 0.0100 **max:** 1,000 **mean:** 57.8282 **median:** 41.0100
105
+
106
+ ### `pm10`
107
+ - **dtype (as loaded by pandas):** `float64`
108
+ - **unit:** µg/m³ _(source: from raw column 'PM10 (µg/m³)')_
109
+ - **non-null:** 861,062 / 972,562 (88.5%)
110
+ - **unique values:** 179,248
111
+ - **min:** 0.0300 **max:** 1,000 **mean:** 118.8644 **median:** 92.7900
112
+
113
+ ### `no2`
114
+ - **dtype (as loaded by pandas):** `float64`
115
+ - **unit:** µg/m³ _(source: from raw column 'NO2 (µg/m³)')_
116
+ - **non-null:** 939,539 / 972,562 (96.6%)
117
+ - **unique values:** 153,689
118
+ - **min:** 0.0100 **max:** 500 **mean:** 25.9318 **median:** 18.8000
119
+
120
+ ### `so2`
121
+ - **dtype (as loaded by pandas):** `float64`
122
+ - **unit:** µg/m³ _(source: from raw column 'SO2 (µg/m³)')_
123
+ - **non-null:** 915,167 / 972,562 (94.1%)
124
+ - **unique values:** 138,954
125
+ - **min:** 0.0100 **max:** 199.8300 **mean:** 12.6577 **median:** 9.0200
126
+
127
+ ### `co`
128
+ - **dtype (as loaded by pandas):** `float64`
129
+ - **unit:** mg/m³ _(source: from raw column 'CO (mg/m³)' -- NOTE different unit family than other pollutants)_
130
+ - **non-null:** 920,104 / 972,562 (94.6%)
131
+ - **unique values:** 79,333
132
+ - **min:** 0 **max:** 50 **mean:** 1.1384 **median:** 0.7300
133
+
134
+ ### `o3`
135
+ - **dtype (as loaded by pandas):** `float64`
136
+ - **unit:** µg/m³ _(source: from raw column 'Ozone (µg/m³)')_
137
+ - **non-null:** 892,019 / 972,562 (91.7%)
138
+ - **unique values:** 151,934
139
+ - **min:** 0.0100 **max:** 499.6300 **mean:** 30.9691 **median:** 25.8400
140
+
141
+ ### `nh3`
142
+ - **dtype (as loaded by pandas):** `float64`
143
+ - **unit:** µg/m³ _(source: from raw column 'NH3 (µg/m³)')_
144
+ - **non-null:** 779,161 / 972,562 (80.1%)
145
+ - **unique values:** 137,757
146
+ - **min:** 0.0100 **max:** 498.4000 **mean:** 24.3772 **median:** 17.8800
147
+
148
+ ### `no`
149
+ - **dtype (as loaded by pandas):** `float64`
150
+ - **unit:** µg/m³ _(source: from raw column 'NO (µg/m³)')_
151
+ - **non-null:** 923,787 / 972,562 (95.0%)
152
+ - **unique values:** 141,244
153
+ - **min:** 0.0100 **max:** 500 **mean:** 14.9131 **median:** 7.1064
154
+
155
+ ### `nox_ppb`
156
+ - **dtype (as loaded by pandas):** `float64`
157
+ - **unit:** ppb _(source: from raw column 'NOx (ppb)' -- NOTE ppb, not µg/m³ like the others)_
158
+ - **non-null:** 933,951 / 972,562 (96.0%)
159
+ - **unique values:** 157,146
160
+ - **min:** 0 **max:** 499.4400 **mean:** 29.7808 **median:** 19.9900
cities_needs_review.csv ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ City,State_Hint,confidence,lat,lon,state_geocoded,alt_states_seen,num_candidates,queries_tried
2
+ Bileipada,Odisha,not_found,,,,,0,"Bileipada, Odisha, India | Bileipada, India"
3
+ DU Delhi,Delhi,not_found,,,,,0,"DU Delhi, Delhi, India | DU Delhi, India"
4
+ Milupara,Chhattisgarh,not_found,,,,,0,"Milupara, Chhattisgarh, India | Milupara, India"
5
+ Tumidih,Chhattisgarh,not_found,,,,,0,"Tumidih, Chhattisgarh, India | Tumidih, India"
6
+ Suakati,Odisha,not_found,,,,,0,"Suakati, Odisha, India | Suakati, India"
7
+ Palkalaiperur,Tamil Nadu,not_found,,,,,0,"Palkalaiperur, Tamil Nadu, India | Palkalaiperur, India"
8
+ Kunjemura,Bihar,not_found,,,,,0,"Kunjemura, Bihar, India | Kunjemura, India"
9
+ Bilaspur,Bihar,low_ambiguous,22.1638486,82.1365923,Chhattisgarh,"Haryana, Himachal Pradesh, Uttar Pradesh",5,"Bilaspur, Bihar, India | Bilaspur, India"
10
+ Bhilai,Bihar,low_ambiguous,21.2120677,81.3732849,Chhattisgarh,Madhya Pradesh,5,"Bhilai, Bihar, India | Bhilai, India"
11
+ Panchgaon,Haryana,low_ambiguous,21.9363716,79.1973421,Madhya Pradesh,"Maharashtra, Uttarakhand",5,"Panchgaon, Haryana, India | Panchgaon, India"
12
+ Chhal,Bihar,medium_state_mismatch,31.1164614,77.5286293,Himachal Pradesh,,1,"Chhal, Bihar, India | Chhal, India"
13
+ Byrnihat,Assam,medium_state_mismatch,26.0543348,91.8696498,Meghalaya,,1,"Byrnihat, Assam, India | Byrnihat, India"
14
+ Dilshad Garden Delhi,Delhi,medium_state_mismatch,28.678087,77.3091432,,,5,"Dilshad Garden Delhi, Delhi, India"
15
+ Delhi,Delhi,medium_state_mismatch,28.6138954,77.2090057,,,1,"Delhi, Delhi, India"
16
+ Korba,Bihar,medium_state_mismatch,22.5198217,82.6350029,Chhattisgarh,,2,"Korba, Bihar, India | Korba, India"
city_geocode_cache.json ADDED
@@ -0,0 +1,3711 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362
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409
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410
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422
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442
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446
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490
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493
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494
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517
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526
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529
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530
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542
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550
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567
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599
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602
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611
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612
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614
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622
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623
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624
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626
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659
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660
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661
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662
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663
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671
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672
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674
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675
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681
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683
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684
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685
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686
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687
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688
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690
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694
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696
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697
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698
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699
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700
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701
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707
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709
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710
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711
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712
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713
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718
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719
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720
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721
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722
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723
+ ]
724
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725
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726
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727
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729
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731
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733
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734
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735
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736
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737
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742
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743
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745
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746
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747
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748
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749
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755
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757
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760
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761
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767
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768
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769
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770
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771
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772
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773
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781
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782
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783
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784
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785
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786
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787
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788
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792
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794
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795
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796
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797
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798
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799
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800
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801
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802
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803
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804
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805
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806
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807
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808
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809
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810
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815
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816
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817
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818
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819
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820
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821
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822
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828
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830
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831
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832
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833
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834
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838
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840
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841
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842
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843
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844
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845
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846
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847
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850
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852
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853
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854
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855
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856
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857
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858
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866
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867
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868
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869
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870
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871
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872
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874
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877
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878
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879
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880
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881
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882
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883
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889
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890
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891
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892
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893
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894
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895
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896
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898
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900
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901
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902
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903
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904
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905
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906
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907
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908
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911
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912
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913
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914
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915
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916
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917
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918
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919
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920
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922
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924
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925
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927
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992
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1003
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1012
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1016
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1087
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1099
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1108
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1111
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1112
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1114
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1116
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1132
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1133
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1135
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1136
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1144
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1147
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1148
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1156
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1159
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1168
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1169
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1170
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1171
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1172
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1180
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1183
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1190
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1192
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1193
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1194
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1195
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1196
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1197
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1199
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1200
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1202
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1203
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1204
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1205
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1206
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1207
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1208
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1214
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1215
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
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1232
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1233
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1234
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1235
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1236
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1237
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1238
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1239
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1240
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1241
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1242
+ ]
1243
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1244
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1245
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1247
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1248
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1250
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1251
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1252
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1253
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1254
+ ]
1255
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1256
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1257
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1262
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1263
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1264
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1265
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1266
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1267
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1268
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1270
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1274
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1275
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1276
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1277
+ "Gadag, Karnataka, India"
1278
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1279
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1280
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1282
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1287
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1288
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1289
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1290
+ ]
1291
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1292
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1293
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1294
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1295
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1298
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1299
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1300
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1301
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1302
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1303
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1304
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1305
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1306
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1307
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1308
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1309
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1310
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1311
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1312
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1313
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1314
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1315
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1316
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1317
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1318
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1319
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1320
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1321
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1322
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1323
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1324
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1325
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1326
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1327
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1328
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1329
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1330
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1331
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1332
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1333
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1334
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1335
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1336
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1337
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1338
+ ]
1339
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1340
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1341
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1342
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1343
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1344
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1345
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1346
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1347
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1348
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1349
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1350
+ ]
1351
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1352
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1353
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1354
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1355
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1356
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1357
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1358
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1359
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1360
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1361
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1362
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1363
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1364
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1365
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1366
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1367
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1368
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1369
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1370
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1371
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1372
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1373
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1374
+ ]
1375
+ },
1376
+ "Guwahati||Assam": {
1377
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1378
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1379
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1380
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1381
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1382
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1383
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1384
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1385
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1386
+ ]
1387
+ },
1388
+ "Gwalior||Madhya Pradesh": {
1389
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1390
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1391
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1392
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1393
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1394
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1395
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1396
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1397
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1398
+ ]
1399
+ },
1400
+ "Hajipur||Bihar": {
1401
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1402
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1403
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1404
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1405
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1406
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1407
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1408
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1409
+ "Hajipur, Bihar, India"
1410
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1411
+ },
1412
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1413
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1414
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1415
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1416
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1417
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1418
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1419
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1420
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1421
+ "Haldia, West Bengal, India"
1422
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1423
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1424
+ "Hanumangarh||Rajasthan": {
1425
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1426
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1427
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1428
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1429
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1430
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1431
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1432
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1433
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1434
+ ]
1435
+ },
1436
+ "Hapur||Uttar Pradesh": {
1437
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1438
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1439
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1440
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1441
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1442
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1443
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1444
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1445
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1446
+ ]
1447
+ },
1448
+ "Hassan||Karnataka": {
1449
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1450
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1451
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1452
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1453
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1454
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1455
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1456
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1457
+ "Hassan, Karnataka, India"
1458
+ ]
1459
+ },
1460
+ "Haveri||Karnataka": {
1461
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1462
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1463
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1464
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1465
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1466
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1467
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1468
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1469
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1470
+ ]
1471
+ },
1472
+ "Hingoli||Maharashtra": {
1473
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1474
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1475
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1476
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1477
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1478
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1479
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1480
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1481
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1482
+ ]
1483
+ },
1484
+ "Hisar||Haryana": {
1485
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1486
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1487
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1488
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1489
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1490
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1491
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1492
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1493
+ "Hisar, Haryana, India"
1494
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1495
+ },
1496
+ "Hosur||Tamil Nadu": {
1497
+ "lat": 12.7183361,
1498
+ "lon": 77.8229481,
1499
+ "area_km2": 1.2,
1500
+ "state_geocoded": "Tamil Nadu",
1501
+ "confidence": "high",
1502
+ "num_candidates": 3,
1503
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1504
+ "queries": [
1505
+ "Hosur, Tamil Nadu, India"
1506
+ ]
1507
+ },
1508
+ "Howrah||West Bengal": {
1509
+ "lat": 22.5736296,
1510
+ "lon": 88.3251045,
1511
+ "area_km2": 100.3,
1512
+ "state_geocoded": "West Bengal",
1513
+ "confidence": "high",
1514
+ "num_candidates": 2,
1515
+ "alt_states": "",
1516
+ "queries": [
1517
+ "Howrah, West Bengal, India"
1518
+ ]
1519
+ },
1520
+ "Hubballi||Karnataka": {
1521
+ "lat": 15.3518378,
1522
+ "lon": 75.1379848,
1523
+ "area_km2": 1216.7,
1524
+ "state_geocoded": "Karnataka",
1525
+ "confidence": "high",
1526
+ "num_candidates": 1,
1527
+ "alt_states": "",
1528
+ "queries": [
1529
+ "Hubballi, Karnataka, India"
1530
+ ]
1531
+ },
1532
+ "Hyderabad||Telangana": {
1533
+ "lat": 17.360589,
1534
+ "lon": 78.4740613,
1535
+ "area_km2": 1214.2,
1536
+ "state_geocoded": "Telangana",
1537
+ "confidence": "high",
1538
+ "num_candidates": 2,
1539
+ "alt_states": "",
1540
+ "queries": [
1541
+ "Hyderabad, Telangana, India"
1542
+ ]
1543
+ },
1544
+ "Imphal||Manipur": {
1545
+ "lat": 24.7991162,
1546
+ "lon": 93.9364419,
1547
+ "area_km2": 1145.3,
1548
+ "state_geocoded": "Manipur",
1549
+ "confidence": "high",
1550
+ "num_candidates": 1,
1551
+ "alt_states": "",
1552
+ "queries": [
1553
+ "Imphal, Manipur, India"
1554
+ ]
1555
+ },
1556
+ "Indore||Madhya Pradesh": {
1557
+ "lat": 22.7203616,
1558
+ "lon": 75.8681996,
1559
+ "area_km2": 1163.8,
1560
+ "state_geocoded": "Madhya Pradesh",
1561
+ "confidence": "high",
1562
+ "num_candidates": 3,
1563
+ "alt_states": "",
1564
+ "queries": [
1565
+ "Indore, Madhya Pradesh, India"
1566
+ ]
1567
+ },
1568
+ "Jabalpur||Madhya Pradesh": {
1569
+ "lat": 23.1701522,
1570
+ "lon": 79.9324505,
1571
+ "area_km2": 100.2,
1572
+ "state_geocoded": "Madhya Pradesh",
1573
+ "confidence": "high",
1574
+ "num_candidates": 3,
1575
+ "alt_states": "",
1576
+ "queries": [
1577
+ "Jabalpur, Madhya Pradesh, India"
1578
+ ]
1579
+ },
1580
+ "Jaipur||Rajasthan": {
1581
+ "lat": 26.9154576,
1582
+ "lon": 75.8189817,
1583
+ "area_km2": 1125.0,
1584
+ "state_geocoded": "Rajasthan",
1585
+ "confidence": "high",
1586
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1587
+ "alt_states": "",
1588
+ "queries": [
1589
+ "Jaipur, Rajasthan, India"
1590
+ ]
1591
+ },
1592
+ "Jaisalmer||Rajasthan": {
1593
+ "lat": 27.0264162,
1594
+ "lon": 70.777512,
1595
+ "area_km2": 63238.2,
1596
+ "state_geocoded": "Rajasthan",
1597
+ "confidence": "high",
1598
+ "num_candidates": 3,
1599
+ "alt_states": "",
1600
+ "queries": [
1601
+ "Jaisalmer, Rajasthan, India"
1602
+ ]
1603
+ },
1604
+ "Jalandhar||Punjab": {
1605
+ "lat": 31.2922312,
1606
+ "lon": 75.5678878,
1607
+ "area_km2": 6054.7,
1608
+ "state_geocoded": "Punjab",
1609
+ "confidence": "high",
1610
+ "num_candidates": 2,
1611
+ "alt_states": "",
1612
+ "queries": [
1613
+ "Jalandhar, Punjab, India"
1614
+ ]
1615
+ },
1616
+ "Jalgaon||Maharashtra": {
1617
+ "lat": 20.8428827,
1618
+ "lon": 75.5261246,
1619
+ "area_km2": 21599.0,
1620
+ "state_geocoded": "Maharashtra",
1621
+ "confidence": "high",
1622
+ "num_candidates": 3,
1623
+ "alt_states": "",
1624
+ "queries": [
1625
+ "Jalgaon, Maharashtra, India"
1626
+ ]
1627
+ },
1628
+ "Jalna||Maharashtra": {
1629
+ "lat": 19.918833,
1630
+ "lon": 75.8708599,
1631
+ "area_km2": 14121.4,
1632
+ "state_geocoded": "Maharashtra",
1633
+ "confidence": "high",
1634
+ "num_candidates": 2,
1635
+ "alt_states": "",
1636
+ "queries": [
1637
+ "Jalna, Maharashtra, India"
1638
+ ]
1639
+ },
1640
+ "Jalore||Rajasthan": {
1641
+ "lat": 25.2093482,
1642
+ "lon": 72.3178889,
1643
+ "area_km2": 25497.1,
1644
+ "state_geocoded": "Rajasthan",
1645
+ "confidence": "high",
1646
+ "num_candidates": 2,
1647
+ "alt_states": "",
1648
+ "queries": [
1649
+ "Jalore, Rajasthan, India"
1650
+ ]
1651
+ },
1652
+ "Jhalawar||Rajasthan": {
1653
+ "lat": 24.3132368,
1654
+ "lon": 76.5221078,
1655
+ "area_km2": 18623.8,
1656
+ "state_geocoded": "Rajasthan",
1657
+ "confidence": "high",
1658
+ "num_candidates": 1,
1659
+ "alt_states": "",
1660
+ "queries": [
1661
+ "Jhalawar, Rajasthan, India"
1662
+ ]
1663
+ },
1664
+ "Jhansi||Uttar Pradesh": {
1665
+ "lat": 25.529855,
1666
+ "lon": 78.6527802,
1667
+ "area_km2": 10524.1,
1668
+ "state_geocoded": "Uttar Pradesh",
1669
+ "confidence": "high",
1670
+ "num_candidates": 3,
1671
+ "alt_states": "",
1672
+ "queries": [
1673
+ "Jhansi, Uttar Pradesh, India"
1674
+ ]
1675
+ },
1676
+ "Jhunjhunu||Rajasthan": {
1677
+ "lat": 28.0798944,
1678
+ "lon": 75.5424211,
1679
+ "area_km2": 10226.7,
1680
+ "state_geocoded": "Rajasthan",
1681
+ "confidence": "high",
1682
+ "num_candidates": 2,
1683
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1684
+ "queries": [
1685
+ "Jhunjhunu, Rajasthan, India"
1686
+ ]
1687
+ },
1688
+ "Jind||Haryana": {
1689
+ "lat": 29.3152073,
1690
+ "lon": 76.314082,
1691
+ "area_km2": 1100.1,
1692
+ "state_geocoded": "Haryana",
1693
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1694
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1695
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1696
+ "queries": [
1697
+ "Jind, Haryana, India"
1698
+ ]
1699
+ },
1700
+ "Jodhpur||Rajasthan": {
1701
+ "lat": 26.2967719,
1702
+ "lon": 73.0351433,
1703
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1704
+ "state_geocoded": "Rajasthan",
1705
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1706
+ "num_candidates": 2,
1707
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1708
+ "queries": [
1709
+ "Jodhpur, Rajasthan, India"
1710
+ ]
1711
+ },
1712
+ "Jorapokhar||Jharkhand": {
1713
+ "lat": 23.7167069,
1714
+ "lon": 86.4110166,
1715
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1716
+ "state_geocoded": "Jharkhand",
1717
+ "confidence": "high",
1718
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1719
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1720
+ "queries": [
1721
+ "Jorapokhar, Jharkhand, India"
1722
+ ]
1723
+ },
1724
+ "Kadapa||Andhra Pradesh": {
1725
+ "lat": 14.4752936,
1726
+ "lon": 78.8216861,
1727
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1728
+ "state_geocoded": "Andhra Pradesh",
1729
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1730
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1731
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1732
+ "queries": [
1733
+ "Kadapa, Andhra Pradesh, India"
1734
+ ]
1735
+ },
1736
+ "Kaithal||Haryana": {
1737
+ "lat": 29.7996588,
1738
+ "lon": 76.3989903,
1739
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1740
+ "state_geocoded": "Haryana",
1741
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1742
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1743
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1744
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1745
+ "Kaithal, Haryana, India"
1746
+ ]
1747
+ },
1748
+ "Kalaburagi||Karnataka": {
1749
+ "lat": 17.2408957,
1750
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1751
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1752
+ "state_geocoded": "Karnataka",
1753
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1754
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1755
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1756
+ "queries": [
1757
+ "Kalaburagi, Karnataka, India"
1758
+ ]
1759
+ },
1760
+ "Kalaburgi||Karnataka": {
1761
+ "lat": 16.8999182,
1762
+ "lon": 77.0567566,
1763
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1764
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1765
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1766
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1767
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1768
+ "queries": [
1769
+ "Kalaburgi, Karnataka, India"
1770
+ ]
1771
+ },
1772
+ "Kalyan||Maharashtra": {
1773
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1774
+ "lon": 73.1366482,
1775
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1776
+ "state_geocoded": "Maharashtra",
1777
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1778
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1779
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1780
+ "queries": [
1781
+ "Kalyan, Maharashtra, India"
1782
+ ]
1783
+ },
1784
+ "Kanchipuram||Tamil Nadu": {
1785
+ "lat": 12.9647163,
1786
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1787
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1788
+ "state_geocoded": "Tamil Nadu",
1789
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1790
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1791
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1792
+ "queries": [
1793
+ "Kanchipuram, Tamil Nadu, India"
1794
+ ]
1795
+ },
1796
+ "Kannur||Kerala": {
1797
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1798
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1799
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1800
+ "state_geocoded": "Kerala",
1801
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1802
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1803
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1804
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1805
+ "Kannur, Kerala, India"
1806
+ ]
1807
+ },
1808
+ "Kanpur||Uttar Pradesh": {
1809
+ "lat": 26.4609135,
1810
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1811
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1812
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1813
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1814
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1815
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1816
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1817
+ "Kanpur, Uttar Pradesh, India"
1818
+ ]
1819
+ },
1820
+ "Karauli||Rajasthan": {
1821
+ "lat": 26.5158329,
1822
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1823
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1824
+ "state_geocoded": "Rajasthan",
1825
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1826
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1827
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1828
+ "queries": [
1829
+ "Karauli, Rajasthan, India"
1830
+ ]
1831
+ },
1832
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1833
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1834
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1835
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1836
+ "state_geocoded": "Haryana",
1837
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1838
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1839
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1840
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1841
+ "Karnal, Haryana, India"
1842
+ ]
1843
+ },
1844
+ "Karur||Tamil Nadu": {
1845
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1846
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1847
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1848
+ "state_geocoded": "Tamil Nadu",
1849
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1850
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1851
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1852
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1853
+ "Karur, Tamil Nadu, India"
1854
+ ]
1855
+ },
1856
+ "Karwar||Karnataka": {
1857
+ "lat": 14.812189,
1858
+ "lon": 74.1323413,
1859
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1860
+ "state_geocoded": "Karnataka",
1861
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1862
+ "num_candidates": 2,
1863
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1864
+ "queries": [
1865
+ "Karwar, Karnataka, India"
1866
+ ]
1867
+ },
1868
+ "Kashipur||Uttarakhand": {
1869
+ "lat": 29.2117573,
1870
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1871
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1872
+ "state_geocoded": "Uttarakhand",
1873
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1874
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1875
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1876
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1877
+ "Kashipur, Uttarakhand, India"
1878
+ ]
1879
+ },
1880
+ "Katihar||Bihar": {
1881
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1882
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1883
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1884
+ "state_geocoded": "Bihar",
1885
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1886
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1887
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1888
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1889
+ "Katihar, Bihar, India"
1890
+ ]
1891
+ },
1892
+ "Katni||Madhya Pradesh": {
1893
+ "lat": 23.7176393,
1894
+ "lon": 80.2610181,
1895
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1896
+ "state_geocoded": "Madhya Pradesh",
1897
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1898
+ "num_candidates": 3,
1899
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1900
+ "queries": [
1901
+ "Katni, Madhya Pradesh, India"
1902
+ ]
1903
+ },
1904
+ "Keonjhar||Odisha": {
1905
+ "lat": 21.5,
1906
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1907
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1908
+ "state_geocoded": "Odisha",
1909
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1910
+ "num_candidates": 2,
1911
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1912
+ "queries": [
1913
+ "Keonjhar, Odisha, India"
1914
+ ]
1915
+ },
1916
+ "Khanna||Punjab": {
1917
+ "lat": 30.700625,
1918
+ "lon": 76.2220763,
1919
+ "area_km2": 1084.8,
1920
+ "state_geocoded": "Punjab",
1921
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1922
+ "num_candidates": 2,
1923
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1924
+ "queries": [
1925
+ "Khanna, Punjab, India"
1926
+ ]
1927
+ },
1928
+ "Khurja||Uttar Pradesh": {
1929
+ "lat": 28.2532652,
1930
+ "lon": 77.853916,
1931
+ "area_km2": 1111.4,
1932
+ "state_geocoded": "Uttar Pradesh",
1933
+ "confidence": "high",
1934
+ "num_candidates": 2,
1935
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1936
+ "queries": [
1937
+ "Khurja, Uttar Pradesh, India"
1938
+ ]
1939
+ },
1940
+ "Kishanganj||Bihar": {
1941
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1942
+ "lon": 87.9466715,
1943
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1944
+ "state_geocoded": "Bihar",
1945
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1946
+ "num_candidates": 4,
1947
+ "alt_states": "",
1948
+ "queries": [
1949
+ "Kishanganj, Bihar, India"
1950
+ ]
1951
+ },
1952
+ "Kochi||Kerala": {
1953
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1954
+ "lon": 76.2444378,
1955
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1956
+ "state_geocoded": "Kerala",
1957
+ "confidence": "high",
1958
+ "num_candidates": 3,
1959
+ "alt_states": "",
1960
+ "queries": [
1961
+ "Kochi, Kerala, India"
1962
+ ]
1963
+ },
1964
+ "Kohima||Nagaland": {
1965
+ "lat": 25.6618755,
1966
+ "lon": 94.1019156,
1967
+ "area_km2": 1137.2,
1968
+ "state_geocoded": "Nagaland",
1969
+ "confidence": "high",
1970
+ "num_candidates": 3,
1971
+ "alt_states": "",
1972
+ "queries": [
1973
+ "Kohima, Nagaland, India"
1974
+ ]
1975
+ },
1976
+ "Kolar||Karnataka": {
1977
+ "lat": 13.1805066,
1978
+ "lon": 78.2669329,
1979
+ "area_km2": 7508.6,
1980
+ "state_geocoded": "Karnataka",
1981
+ "confidence": "high",
1982
+ "num_candidates": 1,
1983
+ "alt_states": "",
1984
+ "queries": [
1985
+ "Kolar, Karnataka, India"
1986
+ ]
1987
+ },
1988
+ "Kolhapur||Maharashtra": {
1989
+ "lat": 16.7028412,
1990
+ "lon": 74.2405329,
1991
+ "area_km2": 1208.4,
1992
+ "state_geocoded": "Maharashtra",
1993
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1994
+ "num_candidates": 2,
1995
+ "alt_states": "",
1996
+ "queries": [
1997
+ "Kolhapur, Maharashtra, India"
1998
+ ]
1999
+ },
2000
+ "Kolkata||West Bengal": {
2001
+ "lat": 22.5726459,
2002
+ "lon": 88.3638953,
2003
+ "area_km2": 431.7,
2004
+ "state_geocoded": "West Bengal",
2005
+ "confidence": "high",
2006
+ "num_candidates": 2,
2007
+ "alt_states": "",
2008
+ "queries": [
2009
+ "Kolkata, West Bengal, India"
2010
+ ]
2011
+ },
2012
+ "Kollam||Kerala": {
2013
+ "lat": 8.8870533,
2014
+ "lon": 76.5906696,
2015
+ "area_km2": 1246.5,
2016
+ "state_geocoded": "Kerala",
2017
+ "confidence": "high",
2018
+ "num_candidates": 3,
2019
+ "alt_states": "",
2020
+ "queries": [
2021
+ "Kollam, Kerala, India"
2022
+ ]
2023
+ },
2024
+ "Koppal||Karnataka": {
2025
+ "lat": 15.5748238,
2026
+ "lon": 76.3118494,
2027
+ "area_km2": 10780.6,
2028
+ "state_geocoded": "Karnataka",
2029
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2030
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2031
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2032
+ "queries": [
2033
+ "Koppal, Karnataka, India"
2034
+ ]
2035
+ },
2036
+ "Korba||Bihar": {
2037
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2038
+ "lon": 82.6350029,
2039
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2040
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2041
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2042
+ "num_candidates": 2,
2043
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2044
+ "queries": [
2045
+ "Korba, Bihar, India",
2046
+ "Korba, India"
2047
+ ]
2048
+ },
2049
+ "Kota||Rajasthan": {
2050
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2051
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2052
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2053
+ "state_geocoded": "Rajasthan",
2054
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2055
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2056
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2057
+ "queries": [
2058
+ "Kota, Rajasthan, India"
2059
+ ]
2060
+ },
2061
+ "Kozhikode||Kerala": {
2062
+ "lat": 11.2450558,
2063
+ "lon": 75.7754716,
2064
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2065
+ "state_geocoded": "Kerala",
2066
+ "confidence": "high",
2067
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2068
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2069
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+ "Kozhikode, Kerala, India"
2071
+ ]
2072
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2073
+ "Kunjemura||Bihar": {
2074
+ "lat": null,
2075
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2076
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2077
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2081
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+ "Kunjemura, Bihar, India",
2083
+ "Kunjemura, India"
2084
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2085
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2086
+ "Kurukshetra||Haryana": {
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+ "lat": 29.9693747,
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+ "area_km2": 1093.0,
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2094
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+ "Kurukshetra, Haryana, India"
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+ ]
2097
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2098
+ "Latur||Maharashtra": {
2099
+ "lat": 18.3553347,
2100
+ "lon": 76.7548997,
2101
+ "area_km2": 12370.9,
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+ "state_geocoded": "Maharashtra",
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2104
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2106
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2107
+ "Latur, Maharashtra, India"
2108
+ ]
2109
+ },
2110
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2111
+ "lat": 26.8381,
2112
+ "lon": 80.9346001,
2113
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+ "state_geocoded": "Uttar Pradesh",
2115
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2116
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2117
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2118
+ "queries": [
2119
+ "Lucknow, Uttar Pradesh, India"
2120
+ ]
2121
+ },
2122
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2123
+ "lat": 30.9090157,
2124
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2125
+ "area_km2": 1082.5,
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+ "state_geocoded": "Punjab",
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2128
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2129
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2130
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+ "Ludhiana, Punjab, India"
2132
+ ]
2133
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2134
+ "Machilipatnam||Andhra Pradesh": {
2135
+ "lat": 16.1817369,
2136
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+ "area_km2": 1211.7,
2138
+ "state_geocoded": "Andhra Pradesh",
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2140
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2142
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+ "Machilipatnam, Andhra Pradesh, India"
2144
+ ]
2145
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2146
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2147
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2148
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2149
+ "area_km2": 77.0,
2150
+ "state_geocoded": "Karnataka",
2151
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2152
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2153
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2154
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2155
+ "Madikeri, Karnataka, India"
2156
+ ]
2157
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2158
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2159
+ "lat": 9.9261153,
2160
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2161
+ "area_km2": 384.1,
2162
+ "state_geocoded": "Tamil Nadu",
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2164
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2166
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2167
+ "Madurai, Tamil Nadu, India"
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2169
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2170
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2171
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2172
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2173
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2176
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2177
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2178
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2179
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2180
+ ]
2181
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2182
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2183
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2184
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2188
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2189
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2190
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2191
+ "Maihar, Madhya Pradesh, India"
2192
+ ]
2193
+ },
2194
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2195
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2196
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2197
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2198
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2199
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2200
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2201
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2202
+ "queries": [
2203
+ "Malegaon, Maharashtra, India"
2204
+ ]
2205
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2206
+ "Mandi Gobindgarh||Punjab": {
2207
+ "lat": 30.6693384,
2208
+ "lon": 76.2974678,
2209
+ "area_km2": 1.1,
2210
+ "state_geocoded": "Punjab",
2211
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2212
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2213
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2214
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2215
+ "Mandi Gobindgarh, Punjab, India"
2216
+ ]
2217
+ },
2218
+ "Mandideep||Madhya Pradesh": {
2219
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2220
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2221
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2222
+ "state_geocoded": "Madhya Pradesh",
2223
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2224
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2225
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2226
+ "queries": [
2227
+ "Mandideep, Madhya Pradesh, India"
2228
+ ]
2229
+ },
2230
+ "Mandikhera(Nuh)||Haryana": {
2231
+ "lat": 27.897075,
2232
+ "lon": 76.9922014,
2233
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2234
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2235
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2236
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2237
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2238
+ "queries": [
2239
+ "Mandikhera(Nuh), Haryana, India"
2240
+ ]
2241
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2242
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2243
+ "lat": 28.3247096,
2244
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2245
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2246
+ "state_geocoded": "Haryana",
2247
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2248
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2249
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2250
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2251
+ "Manesar, Haryana, India"
2252
+ ]
2253
+ },
2254
+ "Mangalore||Karnataka": {
2255
+ "lat": 12.8698101,
2256
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2257
+ "area_km2": 1230.0,
2258
+ "state_geocoded": "Karnataka",
2259
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2260
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2261
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2262
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2263
+ "Mangalore, Karnataka, India"
2264
+ ]
2265
+ },
2266
+ "Manguraha||Bihar": {
2267
+ "lat": 26.3583278,
2268
+ "lon": 85.3281977,
2269
+ "area_km2": 0.0,
2270
+ "state_geocoded": "Bihar",
2271
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2272
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2273
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2274
+ "queries": [
2275
+ "Manguraha, Bihar, India"
2276
+ ]
2277
+ },
2278
+ "Meerut||Uttar Pradesh": {
2279
+ "lat": 29.0018557,
2280
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2281
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+ "state_geocoded": "Uttar Pradesh",
2283
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2284
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2285
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2286
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2287
+ "Meerut, Uttar Pradesh, India"
2288
+ ]
2289
+ },
2290
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2291
+ "lat": 23.6012628,
2292
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2293
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2294
+ "state_geocoded": "Gujarat",
2295
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2296
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2297
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2298
+ "queries": [
2299
+ "Mehsana, Gujarat, India"
2300
+ ]
2301
+ },
2302
+ "Milupara||Chhattisgarh": {
2303
+ "lat": null,
2304
+ "lon": null,
2305
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2306
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2307
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2308
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2309
+ "alt_states": "",
2310
+ "queries": [
2311
+ "Milupara, Chhattisgarh, India",
2312
+ "Milupara, India"
2313
+ ]
2314
+ },
2315
+ "Mira-Bhayandar||Maharashtra": {
2316
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2317
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2318
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2319
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2320
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2321
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2322
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2323
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2324
+ "Mira-Bhayandar, Maharashtra, India"
2325
+ ]
2326
+ },
2327
+ "Moradabad||Uttar Pradesh": {
2328
+ "lat": 28.8796553,
2329
+ "lon": 78.8095335,
2330
+ "area_km2": 3209.8,
2331
+ "state_geocoded": "Uttar Pradesh",
2332
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2333
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2334
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2335
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2336
+ "Moradabad, Uttar Pradesh, India"
2337
+ ]
2338
+ },
2339
+ "Motihari||Bihar": {
2340
+ "lat": 26.6506888,
2341
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2342
+ "area_km2": 32.6,
2343
+ "state_geocoded": "Bihar",
2344
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2345
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2346
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2347
+ "queries": [
2348
+ "Motihari, Bihar, India"
2349
+ ]
2350
+ },
2351
+ "Mumbai||Maharashtra": {
2352
+ "lat": 19.054999,
2353
+ "lon": 72.8692035,
2354
+ "area_km2": 1192.5,
2355
+ "state_geocoded": "Maharashtra",
2356
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2357
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2358
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2359
+ "queries": [
2360
+ "Mumbai, Maharashtra, India"
2361
+ ]
2362
+ },
2363
+ "Munger||Bihar": {
2364
+ "lat": 25.2202864,
2365
+ "lon": 86.5161484,
2366
+ "area_km2": 2928.1,
2367
+ "state_geocoded": "Bihar",
2368
+ "confidence": "high",
2369
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2370
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2371
+ "queries": [
2372
+ "Munger, Bihar, India"
2373
+ ]
2374
+ },
2375
+ "Muzaffarnagar||Uttar Pradesh": {
2376
+ "lat": 29.4496979,
2377
+ "lon": 77.7429333,
2378
+ "area_km2": 4757.8,
2379
+ "state_geocoded": "Uttar Pradesh",
2380
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2381
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2382
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2383
+ "queries": [
2384
+ "Muzaffarnagar, Uttar Pradesh, India"
2385
+ ]
2386
+ },
2387
+ "Muzaffarpur||Bihar": {
2388
+ "lat": 26.1482548,
2389
+ "lon": 85.3316097,
2390
+ "area_km2": 4779.6,
2391
+ "state_geocoded": "Bihar",
2392
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2393
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2394
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2395
+ "queries": [
2396
+ "Muzaffarpur, Bihar, India"
2397
+ ]
2398
+ },
2399
+ "Mysuru||Karnataka": {
2400
+ "lat": 12.3041464,
2401
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2402
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2403
+ "state_geocoded": "Karnataka",
2404
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2405
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2406
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2407
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2408
+ "Mysuru, Karnataka, India"
2409
+ ]
2410
+ },
2411
+ "Nagaon||Assam": {
2412
+ "lat": 26.3313646,
2413
+ "lon": 92.7524763,
2414
+ "area_km2": 7513.8,
2415
+ "state_geocoded": "Assam",
2416
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2417
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2418
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2419
+ "queries": [
2420
+ "Nagaon, Assam, India"
2421
+ ]
2422
+ },
2423
+ "Nagapattinam||Tamil Nadu": {
2424
+ "lat": 10.6026203,
2425
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2426
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2427
+ "state_geocoded": "Tamil Nadu",
2428
+ "confidence": "high",
2429
+ "num_candidates": 3,
2430
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2431
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2432
+ "Nagapattinam, Tamil Nadu, India"
2433
+ ]
2434
+ },
2435
+ "Nagaur||Rajasthan": {
2436
+ "lat": 26.9873443,
2437
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2438
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2439
+ "state_geocoded": "Rajasthan",
2440
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2441
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2442
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2443
+ "queries": [
2444
+ "Nagaur, Rajasthan, India"
2445
+ ]
2446
+ },
2447
+ "Nagpur||Maharashtra": {
2448
+ "lat": 21.1498134,
2449
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2450
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2451
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2452
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2453
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2454
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2455
+ "queries": [
2456
+ "Nagpur, Maharashtra, India"
2457
+ ]
2458
+ },
2459
+ "Naharlagun||Arunachal Pradesh": {
2460
+ "lat": 27.1308555,
2461
+ "lon": 93.709712,
2462
+ "area_km2": 1.1,
2463
+ "state_geocoded": "Arunachal Pradesh",
2464
+ "confidence": "high",
2465
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2466
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2467
+ "queries": [
2468
+ "Naharlagun, Arunachal Pradesh, India"
2469
+ ]
2470
+ },
2471
+ "Nalbari||Assam": {
2472
+ "lat": 26.3533632,
2473
+ "lon": 91.3983662,
2474
+ "area_km2": 1789.6,
2475
+ "state_geocoded": "Assam",
2476
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2477
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2478
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2479
+ "queries": [
2480
+ "Nalbari, Assam, India"
2481
+ ]
2482
+ },
2483
+ "Namakkal||Tamil Nadu": {
2484
+ "lat": 11.3033889,
2485
+ "lon": 78.118604,
2486
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2487
+ "state_geocoded": "Tamil Nadu",
2488
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2489
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2490
+ "alt_states": "",
2491
+ "queries": [
2492
+ "Namakkal, Tamil Nadu, India"
2493
+ ]
2494
+ },
2495
+ "Nanded||Maharashtra": {
2496
+ "lat": 19.0942729,
2497
+ "lon": 77.4832628,
2498
+ "area_km2": 27752.0,
2499
+ "state_geocoded": "Maharashtra",
2500
+ "confidence": "high",
2501
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2502
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2503
+ "queries": [
2504
+ "Nanded, Maharashtra, India"
2505
+ ]
2506
+ },
2507
+ "Nandesari||Gujarat": {
2508
+ "lat": 22.4178037,
2509
+ "lon": 73.0949186,
2510
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2511
+ "state_geocoded": "Gujarat",
2512
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2513
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2514
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2515
+ "queries": [
2516
+ "Nandesari, Gujarat, India"
2517
+ ]
2518
+ },
2519
+ "Narnaul||Haryana": {
2520
+ "lat": 28.0438456,
2521
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2522
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2523
+ "state_geocoded": "Haryana",
2524
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2525
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2526
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2527
+ "queries": [
2528
+ "Narnaul, Haryana, India"
2529
+ ]
2530
+ },
2531
+ "Nashik||Maharashtra": {
2532
+ "lat": 20.0112475,
2533
+ "lon": 73.7902364,
2534
+ "area_km2": 1185.5,
2535
+ "state_geocoded": "Maharashtra",
2536
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2537
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2538
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2539
+ "queries": [
2540
+ "Nashik, Maharashtra, India"
2541
+ ]
2542
+ },
2543
+ "Navi Mumbai||Maharashtra": {
2544
+ "lat": 19.0308262,
2545
+ "lon": 73.0198537,
2546
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2547
+ "state_geocoded": "Maharashtra",
2548
+ "confidence": "high",
2549
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2550
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2551
+ "queries": [
2552
+ "Navi Mumbai, Maharashtra, India"
2553
+ ]
2554
+ },
2555
+ "Nayagarh||Odisha": {
2556
+ "lat": 20.2393682,
2557
+ "lon": 85.050728,
2558
+ "area_km2": 7685.4,
2559
+ "state_geocoded": "Odisha",
2560
+ "confidence": "high",
2561
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2562
+ "alt_states": "",
2563
+ "queries": [
2564
+ "Nayagarh, Odisha, India"
2565
+ ]
2566
+ },
2567
+ "Noida||Uttar Pradesh": {
2568
+ "lat": 28.5706333,
2569
+ "lon": 77.3272147,
2570
+ "area_km2": 543.0,
2571
+ "state_geocoded": "Uttar Pradesh",
2572
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2573
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2574
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2575
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2576
+ "Noida, Uttar Pradesh, India"
2577
+ ]
2578
+ },
2579
+ "Ooty||Tamil Nadu": {
2580
+ "lat": 11.4126769,
2581
+ "lon": 76.7030504,
2582
+ "area_km2": 77.3,
2583
+ "state_geocoded": "Tamil Nadu",
2584
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2585
+ "num_candidates": 1,
2586
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2587
+ "queries": [
2588
+ "Ooty, Tamil Nadu, India"
2589
+ ]
2590
+ },
2591
+ "Pali||Rajasthan": {
2592
+ "lat": 25.4552211,
2593
+ "lon": 73.419389,
2594
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2595
+ "state_geocoded": "Rajasthan",
2596
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2597
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2598
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2599
+ "queries": [
2600
+ "Pali, Rajasthan, India"
2601
+ ]
2602
+ },
2603
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2604
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2605
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2606
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2607
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2608
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2609
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2610
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2611
+ "queries": [
2612
+ "Palkalaiperur, Tamil Nadu, India",
2613
+ "Palkalaiperur, India"
2614
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2615
+ },
2616
+ "Palwal||Haryana": {
2617
+ "lat": 28.0599426,
2618
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2619
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2620
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2621
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2622
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2623
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2624
+ "queries": [
2625
+ "Palwal, Haryana, India"
2626
+ ]
2627
+ },
2628
+ "Pampore||Jammu and Kashmir": {
2629
+ "lat": 34.01092,
2630
+ "lon": 74.91303,
2631
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2632
+ "state_geocoded": "Jammu and Kashmir",
2633
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+ "Panchgaon, India"
2651
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2652
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2653
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2661
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+ "Panchkula, Haryana, India"
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2664
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2665
+ "Panipat||Haryana": {
2666
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2667
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2671
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2673
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2674
+ "Panipat, Haryana, India"
2675
+ ]
2676
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2677
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2678
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2683
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2685
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2686
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2688
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2689
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2697
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2700
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2701
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2703
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2707
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2709
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2712
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2713
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2715
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2716
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2718
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2719
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2720
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2721
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2722
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2723
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2724
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2725
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2727
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2728
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2729
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2730
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2731
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2732
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2733
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2734
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2735
+ ]
2736
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2737
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2738
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2739
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2740
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2742
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2743
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2744
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2745
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+ "Pimpri Chinchwad, Maharashtra, India"
2747
+ ]
2748
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2749
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2750
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2751
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2755
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2756
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2757
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+ "Pimpri-Chinchwad, Maharashtra, India"
2759
+ ]
2760
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2761
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2762
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2763
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2768
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2769
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2770
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2771
+ ]
2772
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2773
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2774
+ "lat": 24.0232221,
2775
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2776
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2777
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2778
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2779
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2780
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2781
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2782
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2783
+ ]
2784
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2785
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2786
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2787
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2788
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2791
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2792
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2793
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2794
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2795
+ ]
2796
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2797
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2798
+ "lat": 11.9340568,
2799
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2800
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2801
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2802
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2803
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2804
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2805
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2806
+ "Puducherry, Puducherry, India"
2807
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2808
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2809
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2810
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2811
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2812
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2813
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2814
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2815
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2816
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2817
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2818
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2819
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2820
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2821
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2822
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2823
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2824
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2825
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2826
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2827
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2828
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2829
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2830
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2831
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2832
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2833
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2834
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2835
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2836
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2838
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2839
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2840
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2841
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2842
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2843
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2844
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2845
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2846
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2847
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2848
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2849
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2851
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2852
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2853
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2854
+ "Raichur, Karnataka, India"
2855
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2856
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2857
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2858
+ "lat": 21.2380912,
2859
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2860
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2861
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2862
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2863
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2864
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2865
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2866
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2867
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2868
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2869
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2870
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2871
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2872
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2874
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2875
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2876
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2877
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2878
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2879
+ ]
2880
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2881
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2882
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2883
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2884
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2885
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2886
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2887
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2888
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2889
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2890
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2891
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2892
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2893
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2894
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2895
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2896
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2897
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2898
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2899
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2900
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2901
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2902
+ "Rajgir, Bihar, India"
2903
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2904
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2905
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2906
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2907
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2908
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2909
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2910
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2911
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2912
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2913
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2914
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2915
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2916
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2917
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2918
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2919
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2920
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2921
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2922
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2923
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2924
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2925
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2926
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2927
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2928
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2929
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2930
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2931
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2932
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2933
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2934
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2935
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2936
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2937
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2938
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2939
+ ]
2940
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2941
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2942
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2943
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2944
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2945
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2946
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2947
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2948
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2949
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2950
+ "Ramanathapuram, Tamil Nadu, India"
2951
+ ]
2952
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2953
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2954
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2955
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2956
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2957
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2958
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2959
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2960
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2961
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2962
+ "Ranipet, Tamil Nadu, India"
2963
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2964
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2965
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2966
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2967
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2968
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2969
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2970
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2971
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2972
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2973
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2974
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2975
+ ]
2976
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2977
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2978
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2979
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2980
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2981
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2982
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2983
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2984
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2985
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2986
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2987
+ ]
2988
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2989
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2990
+ "lat": 28.9010899,
2991
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2992
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2993
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2994
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2995
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2996
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2997
+ "queries": [
2998
+ "Rohtak, Haryana, India"
2999
+ ]
3000
+ },
3001
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3002
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3003
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3004
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3005
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3006
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3007
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3008
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3009
+ "queries": [
3010
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3011
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3012
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3013
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3014
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3015
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3016
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3017
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3018
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3019
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3020
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3021
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3022
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3023
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3024
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3025
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3026
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3027
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3028
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3029
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3030
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3031
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3032
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3033
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3034
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3035
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3036
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3037
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3038
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3039
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3040
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3041
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3042
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3043
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3044
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3045
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3046
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3047
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3048
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3049
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3050
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3051
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3052
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3053
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3054
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3055
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3056
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3057
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3058
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3059
+ ]
3060
+ },
3061
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3062
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3063
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3064
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3065
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3066
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3067
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3068
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3069
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3070
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3071
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3072
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3073
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3074
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3075
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3076
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3077
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3078
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3079
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3080
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3081
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3082
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3083
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3084
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3085
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3086
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3087
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3088
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3089
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3090
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3091
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3092
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3093
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3094
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3095
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3096
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3097
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3098
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3099
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3100
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3101
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3102
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3103
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3104
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3105
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3106
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3107
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3108
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3109
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3110
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3111
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3112
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3113
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3114
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3115
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3116
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3117
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3118
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3119
+ ]
3120
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3121
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3122
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3123
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3124
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3125
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3126
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3127
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3128
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3129
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3130
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3131
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3132
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3133
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3134
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3135
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3136
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3137
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3138
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3139
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3140
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3141
+ "queries": [
3142
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3143
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3144
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3145
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3146
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3147
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3148
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3149
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3150
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3151
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3152
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3153
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3154
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3155
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3156
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3157
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3158
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3159
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3160
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3161
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3162
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3163
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3164
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3165
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3166
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3167
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3168
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3169
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3170
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3171
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3172
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3173
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3174
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3175
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3176
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3177
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3178
+ "Silchar, Assam, India"
3179
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3180
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3181
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3182
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3183
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3184
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3185
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3186
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3187
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3188
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3189
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3190
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3191
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3192
+ },
3193
+ "Singrauli||Madhya Pradesh": {
3194
+ "lat": 24.2431343,
3195
+ "lon": 82.3827672,
3196
+ "area_km2": 9649.6,
3197
+ "state_geocoded": "Madhya Pradesh",
3198
+ "confidence": "high",
3199
+ "num_candidates": 2,
3200
+ "alt_states": "",
3201
+ "queries": [
3202
+ "Singrauli, Madhya Pradesh, India"
3203
+ ]
3204
+ },
3205
+ "Sirohi||Rajasthan": {
3206
+ "lat": 24.8114047,
3207
+ "lon": 72.8300257,
3208
+ "area_km2": 9818.5,
3209
+ "state_geocoded": "Rajasthan",
3210
+ "confidence": "high",
3211
+ "num_candidates": 3,
3212
+ "alt_states": "",
3213
+ "queries": [
3214
+ "Sirohi, Rajasthan, India"
3215
+ ]
3216
+ },
3217
+ "Sirsa||Haryana": {
3218
+ "lat": 29.6063041,
3219
+ "lon": 74.9036568,
3220
+ "area_km2": 6850.0,
3221
+ "state_geocoded": "Haryana",
3222
+ "confidence": "high",
3223
+ "num_candidates": 3,
3224
+ "alt_states": "",
3225
+ "queries": [
3226
+ "Sirsa, Haryana, India"
3227
+ ]
3228
+ },
3229
+ "Sivasagar||Assam": {
3230
+ "lat": 26.9834936,
3231
+ "lon": 94.6394226,
3232
+ "area_km2": 1124.3,
3233
+ "state_geocoded": "Assam",
3234
+ "confidence": "high",
3235
+ "num_candidates": 2,
3236
+ "alt_states": "",
3237
+ "queries": [
3238
+ "Sivasagar, Assam, India"
3239
+ ]
3240
+ },
3241
+ "Siwan||Bihar": {
3242
+ "lat": 26.131008,
3243
+ "lon": 84.3910745,
3244
+ "area_km2": 4153.8,
3245
+ "state_geocoded": "Bihar",
3246
+ "confidence": "high",
3247
+ "num_candidates": 3,
3248
+ "alt_states": "",
3249
+ "queries": [
3250
+ "Siwan, Bihar, India"
3251
+ ]
3252
+ },
3253
+ "Solapur||Maharashtra": {
3254
+ "lat": 17.8499067,
3255
+ "lon": 75.2763203,
3256
+ "area_km2": 30031.8,
3257
+ "state_geocoded": "Maharashtra",
3258
+ "confidence": "high",
3259
+ "num_candidates": 3,
3260
+ "alt_states": "",
3261
+ "queries": [
3262
+ "Solapur, Maharashtra, India"
3263
+ ]
3264
+ },
3265
+ "Sonipat||Haryana": {
3266
+ "lat": 28.9953758,
3267
+ "lon": 77.0233627,
3268
+ "area_km2": 1103.5,
3269
+ "state_geocoded": "Haryana",
3270
+ "confidence": "high",
3271
+ "num_candidates": 3,
3272
+ "alt_states": "",
3273
+ "queries": [
3274
+ "Sonipat, Haryana, India"
3275
+ ]
3276
+ },
3277
+ "Sri Ganganagar||Rajasthan": {
3278
+ "lat": 29.4605539,
3279
+ "lon": 73.5850528,
3280
+ "area_km2": 25862.2,
3281
+ "state_geocoded": "Rajasthan",
3282
+ "confidence": "high",
3283
+ "num_candidates": 2,
3284
+ "alt_states": "",
3285
+ "queries": [
3286
+ "Sri Ganganagar, Rajasthan, India"
3287
+ ]
3288
+ },
3289
+ "Sri Vijaya Puram||Andaman and Nicobar Islands": {
3290
+ "lat": 11.6645348,
3291
+ "lon": 92.7390448,
3292
+ "area_km2": 1235.6,
3293
+ "state_geocoded": "Andaman and Nicobar Islands",
3294
+ "confidence": "high",
3295
+ "num_candidates": 1,
3296
+ "alt_states": "",
3297
+ "queries": [
3298
+ "Sri Vijaya Puram, Andaman and Nicobar Islands, India"
3299
+ ]
3300
+ },
3301
+ "Srinagar||Jammu and Kashmir": {
3302
+ "lat": 34.0747444,
3303
+ "lon": 74.8204443,
3304
+ "area_km2": 1045.1,
3305
+ "state_geocoded": "Jammu and Kashmir",
3306
+ "confidence": "high",
3307
+ "num_candidates": 4,
3308
+ "alt_states": "",
3309
+ "queries": [
3310
+ "Srinagar, Jammu and Kashmir, India"
3311
+ ]
3312
+ },
3313
+ "Suakati||Odisha": {
3314
+ "lat": null,
3315
+ "lon": null,
3316
+ "area_km2": null,
3317
+ "state_geocoded": null,
3318
+ "confidence": "not_found",
3319
+ "num_candidates": 0,
3320
+ "alt_states": "",
3321
+ "queries": [
3322
+ "Suakati, Odisha, India",
3323
+ "Suakati, India"
3324
+ ]
3325
+ },
3326
+ "Surat||Gujarat": {
3327
+ "lat": 21.2094892,
3328
+ "lon": 72.8317058,
3329
+ "area_km2": 1176.2,
3330
+ "state_geocoded": "Gujarat",
3331
+ "confidence": "high",
3332
+ "num_candidates": 2,
3333
+ "alt_states": "",
3334
+ "queries": [
3335
+ "Surat, Gujarat, India"
3336
+ ]
3337
+ },
3338
+ "Tensa||Odisha": {
3339
+ "lat": 21.8782061,
3340
+ "lon": 85.1842998,
3341
+ "area_km2": 7.5,
3342
+ "state_geocoded": "Odisha",
3343
+ "confidence": "high",
3344
+ "num_candidates": 3,
3345
+ "alt_states": "",
3346
+ "queries": [
3347
+ "Tensa, Odisha, India"
3348
+ ]
3349
+ },
3350
+ "Thane||Maharashtra": {
3351
+ "lat": 19.3653598,
3352
+ "lon": 73.3685437,
3353
+ "area_km2": 8862.5,
3354
+ "state_geocoded": "Maharashtra",
3355
+ "confidence": "high",
3356
+ "num_candidates": 2,
3357
+ "alt_states": "",
3358
+ "queries": [
3359
+ "Thane, Maharashtra, India"
3360
+ ]
3361
+ },
3362
+ "Thanjavur||Tamil Nadu": {
3363
+ "lat": 10.659037,
3364
+ "lon": 79.2014278,
3365
+ "area_km2": 10126.8,
3366
+ "state_geocoded": "Tamil Nadu",
3367
+ "confidence": "high",
3368
+ "num_candidates": 3,
3369
+ "alt_states": "",
3370
+ "queries": [
3371
+ "Thanjavur, Tamil Nadu, India"
3372
+ ]
3373
+ },
3374
+ "Thiruvananthapuram||Kerala": {
3375
+ "lat": 8.4882267,
3376
+ "lon": 76.947551,
3377
+ "area_km2": 1247.9,
3378
+ "state_geocoded": "Kerala",
3379
+ "confidence": "high",
3380
+ "num_candidates": 3,
3381
+ "alt_states": "",
3382
+ "queries": [
3383
+ "Thiruvananthapuram, Kerala, India"
3384
+ ]
3385
+ },
3386
+ "Thoothukudi||Tamil Nadu": {
3387
+ "lat": 8.8457035,
3388
+ "lon": 77.9938178,
3389
+ "area_km2": 9102.8,
3390
+ "state_geocoded": "Tamil Nadu",
3391
+ "confidence": "high",
3392
+ "num_candidates": 2,
3393
+ "alt_states": "",
3394
+ "queries": [
3395
+ "Thoothukudi, Tamil Nadu, India"
3396
+ ]
3397
+ },
3398
+ "Thrissur||Kerala": {
3399
+ "lat": 10.5270099,
3400
+ "lon": 76.214621,
3401
+ "area_km2": 1240.4,
3402
+ "state_geocoded": "Kerala",
3403
+ "confidence": "high",
3404
+ "num_candidates": 2,
3405
+ "alt_states": "",
3406
+ "queries": [
3407
+ "Thrissur, Kerala, India"
3408
+ ]
3409
+ },
3410
+ "Tiruchirappalli||Tamil Nadu": {
3411
+ "lat": 10.8071144,
3412
+ "lon": 78.6880939,
3413
+ "area_km2": 138.4,
3414
+ "state_geocoded": "Tamil Nadu",
3415
+ "confidence": "high",
3416
+ "num_candidates": 2,
3417
+ "alt_states": "",
3418
+ "queries": [
3419
+ "Tiruchirappalli, Tamil Nadu, India"
3420
+ ]
3421
+ },
3422
+ "Tirumala||Andhra Pradesh": {
3423
+ "lat": 13.6868214,
3424
+ "lon": 79.3524064,
3425
+ "area_km2": 76.6,
3426
+ "state_geocoded": "Andhra Pradesh",
3427
+ "confidence": "high",
3428
+ "num_candidates": 2,
3429
+ "alt_states": "",
3430
+ "queries": [
3431
+ "Tirumala, Andhra Pradesh, India"
3432
+ ]
3433
+ },
3434
+ "Tirunelveli||Tamil Nadu": {
3435
+ "lat": 8.5495014,
3436
+ "lon": 77.5805178,
3437
+ "area_km2": 8032.2,
3438
+ "state_geocoded": "Tamil Nadu",
3439
+ "confidence": "high",
3440
+ "num_candidates": 3,
3441
+ "alt_states": "",
3442
+ "queries": [
3443
+ "Tirunelveli, Tamil Nadu, India"
3444
+ ]
3445
+ },
3446
+ "Tirupati||Andhra Pradesh": {
3447
+ "lat": 13.6316368,
3448
+ "lon": 79.4231711,
3449
+ "area_km2": 1226.1,
3450
+ "state_geocoded": "Andhra Pradesh",
3451
+ "confidence": "high",
3452
+ "num_candidates": 5,
3453
+ "alt_states": "",
3454
+ "queries": [
3455
+ "Tirupati, Andhra Pradesh, India"
3456
+ ]
3457
+ },
3458
+ "Tirupur||Tamil Nadu": {
3459
+ "lat": 11.1671878,
3460
+ "lon": 77.3472673,
3461
+ "area_km2": 0.0,
3462
+ "state_geocoded": "Tamil Nadu",
3463
+ "confidence": "high",
3464
+ "num_candidates": 4,
3465
+ "alt_states": "",
3466
+ "queries": [
3467
+ "Tirupur, Tamil Nadu, India"
3468
+ ]
3469
+ },
3470
+ "Tonk||Rajasthan": {
3471
+ "lat": 26.1223198,
3472
+ "lon": 75.6632235,
3473
+ "area_km2": 11785.5,
3474
+ "state_geocoded": "Rajasthan",
3475
+ "confidence": "high",
3476
+ "num_candidates": 3,
3477
+ "alt_states": "",
3478
+ "queries": [
3479
+ "Tonk, Rajasthan, India"
3480
+ ]
3481
+ },
3482
+ "Tumakuru||Karnataka": {
3483
+ "lat": 13.4192512,
3484
+ "lon": 76.8810004,
3485
+ "area_km2": 22393.8,
3486
+ "state_geocoded": "Karnataka",
3487
+ "confidence": "high",
3488
+ "num_candidates": 3,
3489
+ "alt_states": "",
3490
+ "queries": [
3491
+ "Tumakuru, Karnataka, India"
3492
+ ]
3493
+ },
3494
+ "Tumidih||Chhattisgarh": {
3495
+ "lat": null,
3496
+ "lon": null,
3497
+ "area_km2": null,
3498
+ "state_geocoded": null,
3499
+ "confidence": "not_found",
3500
+ "num_candidates": 0,
3501
+ "alt_states": "",
3502
+ "queries": [
3503
+ "Tumidih, Chhattisgarh, India",
3504
+ "Tumidih, India"
3505
+ ]
3506
+ },
3507
+ "Udaipur||Rajasthan": {
3508
+ "lat": 24.578721,
3509
+ "lon": 73.6862571,
3510
+ "area_km2": 1147.4,
3511
+ "state_geocoded": "Rajasthan",
3512
+ "confidence": "high",
3513
+ "num_candidates": 3,
3514
+ "alt_states": "",
3515
+ "queries": [
3516
+ "Udaipur, Rajasthan, India"
3517
+ ]
3518
+ },
3519
+ "Udupi||Karnataka": {
3520
+ "lat": 13.5269784,
3521
+ "lon": 74.8731879,
3522
+ "area_km2": 6798.2,
3523
+ "state_geocoded": "Karnataka",
3524
+ "confidence": "high",
3525
+ "num_candidates": 2,
3526
+ "alt_states": "",
3527
+ "queries": [
3528
+ "Udupi, Karnataka, India"
3529
+ ]
3530
+ },
3531
+ "Ujjain||Madhya Pradesh": {
3532
+ "lat": 23.1885131,
3533
+ "lon": 75.7716562,
3534
+ "area_km2": 1159.7,
3535
+ "state_geocoded": "Madhya Pradesh",
3536
+ "confidence": "high",
3537
+ "num_candidates": 2,
3538
+ "alt_states": "",
3539
+ "queries": [
3540
+ "Ujjain, Madhya Pradesh, India"
3541
+ ]
3542
+ },
3543
+ "Ulhasnagar||Maharashtra": {
3544
+ "lat": 19.2236329,
3545
+ "lon": 73.1671515,
3546
+ "area_km2": 24.8,
3547
+ "state_geocoded": "Maharashtra",
3548
+ "confidence": "high",
3549
+ "num_candidates": 2,
3550
+ "alt_states": "",
3551
+ "queries": [
3552
+ "Ulhasnagar, Maharashtra, India"
3553
+ ]
3554
+ },
3555
+ "Vadodara||Gujarat": {
3556
+ "lat": 22.2973142,
3557
+ "lon": 73.1942567,
3558
+ "area_km2": 1167.3,
3559
+ "state_geocoded": "Gujarat",
3560
+ "confidence": "high",
3561
+ "num_candidates": 2,
3562
+ "alt_states": "",
3563
+ "queries": [
3564
+ "Vadodara, Gujarat, India"
3565
+ ]
3566
+ },
3567
+ "Vapi||Gujarat": {
3568
+ "lat": 20.3735482,
3569
+ "lon": 72.9084376,
3570
+ "area_km2": 1.2,
3571
+ "state_geocoded": "Gujarat",
3572
+ "confidence": "high",
3573
+ "num_candidates": 2,
3574
+ "alt_states": "",
3575
+ "queries": [
3576
+ "Vapi, Gujarat, India"
3577
+ ]
3578
+ },
3579
+ "Varanasi||Uttar Pradesh": {
3580
+ "lat": 25.3356491,
3581
+ "lon": 83.0076292,
3582
+ "area_km2": 1140.3,
3583
+ "state_geocoded": "Uttar Pradesh",
3584
+ "confidence": "high",
3585
+ "num_candidates": 2,
3586
+ "alt_states": "",
3587
+ "queries": [
3588
+ "Varanasi, Uttar Pradesh, India"
3589
+ ]
3590
+ },
3591
+ "Vatva||Gujarat": {
3592
+ "lat": 22.9589978,
3593
+ "lon": 72.6297981,
3594
+ "area_km2": 1.1,
3595
+ "state_geocoded": "Gujarat",
3596
+ "confidence": "high",
3597
+ "num_candidates": 2,
3598
+ "alt_states": "",
3599
+ "queries": [
3600
+ "Vatva, Gujarat, India"
3601
+ ]
3602
+ },
3603
+ "Vellore||Tamil Nadu": {
3604
+ "lat": 12.9021849,
3605
+ "lon": 79.061104,
3606
+ "area_km2": 4497.9,
3607
+ "state_geocoded": "Tamil Nadu",
3608
+ "confidence": "high",
3609
+ "num_candidates": 3,
3610
+ "alt_states": "",
3611
+ "queries": [
3612
+ "Vellore, Tamil Nadu, India"
3613
+ ]
3614
+ },
3615
+ "Vijayapura||Karnataka": {
3616
+ "lat": 16.814415,
3617
+ "lon": 75.8933856,
3618
+ "area_km2": 17793.8,
3619
+ "state_geocoded": "Karnataka",
3620
+ "confidence": "high",
3621
+ "num_candidates": 3,
3622
+ "alt_states": "",
3623
+ "queries": [
3624
+ "Vijayapura, Karnataka, India"
3625
+ ]
3626
+ },
3627
+ "Vijayawada||Andhra Pradesh": {
3628
+ "lat": 16.5115306,
3629
+ "lon": 80.6160469,
3630
+ "area_km2": 1209.6,
3631
+ "state_geocoded": "Andhra Pradesh",
3632
+ "confidence": "high",
3633
+ "num_candidates": 4,
3634
+ "alt_states": "",
3635
+ "queries": [
3636
+ "Vijayawada, Andhra Pradesh, India"
3637
+ ]
3638
+ },
3639
+ "Virar||Maharashtra": {
3640
+ "lat": 19.4497996,
3641
+ "lon": 72.8120613,
3642
+ "area_km2": 18.6,
3643
+ "state_geocoded": "Maharashtra",
3644
+ "confidence": "high",
3645
+ "num_candidates": 4,
3646
+ "alt_states": "",
3647
+ "queries": [
3648
+ "Virar, Maharashtra, India"
3649
+ ]
3650
+ },
3651
+ "Virudhunagar||Tamil Nadu": {
3652
+ "lat": 9.4926289,
3653
+ "lon": 77.8631831,
3654
+ "area_km2": 7762.9,
3655
+ "state_geocoded": "Tamil Nadu",
3656
+ "confidence": "high",
3657
+ "num_candidates": 2,
3658
+ "alt_states": "",
3659
+ "queries": [
3660
+ "Virudhunagar, Tamil Nadu, India"
3661
+ ]
3662
+ },
3663
+ "Visakhapatnam||Andhra Pradesh": {
3664
+ "lat": 17.6935526,
3665
+ "lon": 83.2921297,
3666
+ "area_km2": 1202.0,
3667
+ "state_geocoded": "Andhra Pradesh",
3668
+ "confidence": "high",
3669
+ "num_candidates": 2,
3670
+ "alt_states": "",
3671
+ "queries": [
3672
+ "Visakhapatnam, Andhra Pradesh, India"
3673
+ ]
3674
+ },
3675
+ "Vrindavan||Uttar Pradesh": {
3676
+ "lat": 27.5753726,
3677
+ "lon": 77.6938045,
3678
+ "area_km2": 69.9,
3679
+ "state_geocoded": "Uttar Pradesh",
3680
+ "confidence": "high",
3681
+ "num_candidates": 2,
3682
+ "alt_states": "",
3683
+ "queries": [
3684
+ "Vrindavan, Uttar Pradesh, India"
3685
+ ]
3686
+ },
3687
+ "Yadgir||Karnataka": {
3688
+ "lat": 16.5744123,
3689
+ "lon": 76.9254434,
3690
+ "area_km2": 10663.6,
3691
+ "state_geocoded": "Karnataka",
3692
+ "confidence": "high",
3693
+ "num_candidates": 1,
3694
+ "alt_states": "",
3695
+ "queries": [
3696
+ "Yadgir, Karnataka, India"
3697
+ ]
3698
+ },
3699
+ "Yamuna Nagar||Haryana": {
3700
+ "lat": 30.1389108,
3701
+ "lon": 77.301064,
3702
+ "area_km2": 0.0,
3703
+ "state_geocoded": "Haryana",
3704
+ "confidence": "high",
3705
+ "num_candidates": 1,
3706
+ "alt_states": "",
3707
+ "queries": [
3708
+ "Yamuna Nagar, Haryana, India"
3709
+ ]
3710
+ }
3711
+ }
cpcb_clean_report.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # CPCB Ground-Truth Cleaning Report
2
+
3
+ - Input: `merged_cpcb_data.csv` — **1,549,637 rows**, 34 columns
4
+ - Output: `merged_cpcb_clean.csv` — **972,562 rows**, 20 columns
5
+ - Net removed: **577,075 rows** (37.2%)
6
+
7
+ ## Rows removed, by reason
8
+ | step | rows |
9
+ |---|---|
10
+ | dropped rows with no lat/lon (unusable in node graph) | 26,296 |
11
+ | negative concentrations set to NULL | 0 |
12
+ | dropped rows where ALL 7 target pollutants are null | 546,277 |
13
+ | dropped duplicate (station,lat,lon,date) rows | 4,502 |
14
+
15
+ ## Columns dropped (garbage / redundant / met)
16
+ `SourceFile`, `FileYear`, `State_Raw`, `AT (°C)`, `RH (%)`, `WS (m/s)`, `WD (deg)`, `RF (mm)`, `TOT-RF (mm)`, `SR (W/mt2)`, `BP (mmHg)`, `VWS (m/s)`, `Year`, `Month`
17
+
18
+ ## Kept columns
19
+ `date`, `station`, `city`, `state`, `state_hint`, `state_mismatch_flag`, `geocode_confidence`, `agency`, `lat`, `lon`, `coverage_area_km2`, `pm25`, `pm10`, `no2`, `so2`, `co`, `o3`, `nh3`, `no`, `nox_ppb`
20
+
21
+ ## Pollutant coverage after cleaning (non-null %)
22
+ | pollutant | non-null % | target? |
23
+ |---|---|---|
24
+ | pm25 | 93.2% | yes |
25
+ | pm10 | 88.5% | yes |
26
+ | no2 | 96.6% | yes |
27
+ | so2 | 94.1% | yes |
28
+ | co | 94.6% | yes |
29
+ | o3 | 91.7% | yes |
30
+ | nh3 | 80.1% | yes |
31
+ | no | 95.0% | aux |
32
+ | nox_ppb | 96.0% | aux |
33
+
34
+ ## Year coverage
35
+ | year | rows |
36
+ |---|---|
37
+ | 2009 | 4,057 |
38
+ | 2010 | 4,725 |
39
+ | 2011 | 6,596 |
40
+ | 2012 | 6,700 |
41
+ | 2013 | 6,094 |
42
+ | 2014 | 5,553 |
43
+ | 2015 | 8,524 |
44
+ | 2016 | 12,644 |
45
+ | 2017 | 18,444 |
46
+ | 2018 | 39,186 |
47
+ | 2019 | 60,018 |
48
+ | 2020 | 76,712 |
49
+ | 2021 | 96,640 |
50
+ | 2022 | 115,967 |
51
+ | 2023 | 156,676 |
52
+ | 2024 | 177,757 |
53
+ | 2025 | 176,269 |
54
+
55
+ ## Geocode confidence (rows)
56
+ | confidence | rows |
57
+ |---|---|
58
+ | high | 841,064 |
59
+ | medium_state_mismatch | 126,158 |
60
+ | low_ambiguous | 5,340 |
61
+
62
+ > `not_found` cities were dropped (no coordinates). Hand-add lat/lon for any that matter: Bileipada, DU Delhi, Kunjemura, Milupara, Palkalaiperur, Suakati, Tumidih.
63
+
64
+ ## State mismatches
65
+ - **9,588 rows** flagged (folder state ≠ geocoded state). `state` = geocoded (primary); `state_hint` = folder; flag kept. **Do not auto-resolve** — mixed cause: some folder-wrong (Bhilai/Bilaspur/Korba → Chhattisgarh, geocode correct), some geocode-wrong (Chhal, Panchgaon). Manual review needed; coordinates (not state) drive the node graph.
66
+
67
+ ## Notes
68
+ - Pollutant NULLs are **left null** (missing ≠ 0). Do not impute; they mask in training.
69
+ - `nox_ppb` is in **ppb** (all others µg/m³, CO in mg/m³) — unit differs, kept separate.
70
+ - Timestamps treated as IST calendar dates (CPCB is local IST) — aligns with `node_observations_daily` date convention.
duplicate_downloads.csv ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ kept_file,skipped_file
2
+ C:\Users\offrk\Desktop\cpcb\India CPCB\AP_Rajiv_Gandhi_Park__Vijayawada_-_APPCB\Rajiv_Gandhi_Park__Vijayawada_-_APPCB_2023.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\AP_Rajiv_Gandhi_Park__Vijayawada_-_APPCB\Rajiv_Gandhi_Park__Vijayawada_-_APPCB_2023 (1).csv
3
+ C:\Users\offrk\Desktop\cpcb\India CPCB\AP_Rajiv_Gandhi_Park__Vijayawada_-_APPCB\Rajiv_Gandhi_Park__Vijayawada_-_APPCB_2024.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\AP_Rajiv_Gandhi_Park__Vijayawada_-_APPCB\Rajiv_Gandhi_Park__Vijayawada_-_APPCB_2024 (1).csv
4
+ C:\Users\offrk\Desktop\cpcb\India CPCB\AP_Rajiv_Gandhi_Park__Vijayawada_-_APPCB\Rajiv_Gandhi_Park__Vijayawada_-_APPCB_2025.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\AP_Rajiv_Gandhi_Park__Vijayawada_-_APPCB\Rajiv_Gandhi_Park__Vijayawada_-_APPCB_2025 (1).csv
5
+ C:\Users\offrk\Desktop\cpcb\India CPCB\delhi_IIT_Delhi__Delhi_-_IITM\IIT_Delhi__Delhi_-_IITM_2025.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\delhi_IIT_Delhi__Delhi_-_IITM\IIT_Delhi__Delhi_-_IITM_2025 (1).csv
6
+ C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2017.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2017 (1).csv
7
+ C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2023.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2023 (1).csv
8
+ C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2024.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2024 (1).csv
9
+ C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2025.csv,C:\Users\offrk\Desktop\cpcb\India CPCB\Maharashtra_Ram_Nagar__Nagpur_-_MPCB\Ram_Nagar__Nagpur_-_MPCB_2025 (1).csv
eda_report.md ADDED
@@ -0,0 +1,123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # CPCB Data Pipeline -- EDA Report
2
+ Generated: 2026-07-15T10:29:41
3
+
4
+ ## Overview
5
+ - Total CSV files scanned: **4468**
6
+ - Duplicate-download files skipped (Chrome ' (1).csv' re-downloads): **8**
7
+ - Files failed to load: **0**
8
+ - Total merged rows: **1,549,637**
9
+ - Total rows after column cleanup: **1,549,637**
10
+ - Unique cities: **307**
11
+ - Unique (city, state) pairs geocoded: **308**
12
+ - Unique states (raw folder prefix): **31**
13
+ - Unique stations: **566**
14
+
15
+ ## Year Coverage
16
+ - 2009 to 2025
17
+
18
+ | Year | Rows |
19
+ |---|---|
20
+ | 2009 | 4,761 |
21
+ | 2010 | 5,902 |
22
+ | 2011 | 8,400 |
23
+ | 2012 | 8,906 |
24
+ | 2013 | 9,125 |
25
+ | 2014 | 8,581 |
26
+ | 2015 | 10,283 |
27
+ | 2016 | 17,449 |
28
+ | 2017 | 165,300 |
29
+ | 2018 | 137,436 |
30
+ | 2019 | 139,674 |
31
+ | 2020 | 142,618 |
32
+ | 2021 | 147,705 |
33
+ | 2022 | 148,619 |
34
+ | 2023 | 191,874 |
35
+ | 2024 | 196,971 |
36
+ | 2025 | 206,033 |
37
+
38
+ ## Geocoding Confidence (DO NOT assume perfect coords)
39
+ | Confidence | # Cities | Meaning |
40
+ |---|---|---|
41
+ | high | 293 | single unambiguous match, state confirmed |
42
+ | not_found | 7 | Nominatim returned nothing |
43
+ | medium_state_mismatch | 5 | top match's state disagrees with folder hint |
44
+ | low_ambiguous | 3 | multiple candidates found across different states |
45
+
46
+ Full city-level detail (lat/lon/candidates/queries tried) in `cities_needs_review.csv` for anything not `high`. **Manually verify those before trusting them in AtmosIQ's node graph.**
47
+
48
+ ## Data Quality: State-Prefix Mismatches
49
+ Folder-name state prefix vs geocoded actual state disagreed for **69** unique station/city combos. Full list in `state_mismatch_audit.csv`. Sample:
50
+
51
+ | Folder State (raw) | Geocoded State | City | Station |
52
+ |---|---|---|---|
53
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
54
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
55
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
56
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
57
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
58
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
59
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
60
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
61
+ | assam | Meghalaya | Byrnihat | Central Academy for SFS |
62
+ | bihar | Chhattisgarh | Bhilai | 32Bungalows |
63
+ | bihar | Chhattisgarh | Bhilai | 32Bungalows |
64
+ | bihar | Chhattisgarh | Bhilai | 32Bungalows |
65
+ | bihar | Chhattisgarh | Bhilai | 32Bungalows |
66
+ | bihar | Chhattisgarh | Bhilai | 32Bungalows |
67
+ | bihar | Chhattisgarh | Bhilai | 32Bungalows |
68
+
69
+ ## Columns Dropped
70
+ - VOC/organic columns (sparse by CPCB design): Benzene (µg/m³), Toluene (µg/m³), Xylene (µg/m³), O Xylene (µg/m³), Eth-Benzene (µg/m³), MP-Xylene (µg/m³)
71
+ - Auto-dropped (>95% NaN dataset-wide): none
72
+
73
+ ## Missing Value % by Column (before cleanup)
74
+ | Column | % Missing |
75
+ |---|---|
76
+ | VWS (m/s) | 88.1% |
77
+ | BP (mmHg) | 69.3% |
78
+ | RF (mm) | 61.9% |
79
+ | AT (°C) | 58.5% |
80
+ | SR (W/mt2) | 50.7% |
81
+ | NH3 (µg/m³) | 49.1% |
82
+ | RH (%) | 45.7% |
83
+ | WS (m/s) | 45.3% |
84
+ | WD (deg) | 44.7% |
85
+ | PM10 (µg/m³) | 43.4% |
86
+ | Ozone (µg/m³) | 41.4% |
87
+ | PM2.5 (µg/m³) | 40.5% |
88
+ | SO2 (µg/m³) | 40.4% |
89
+ | CO (mg/m³) | 39.6% |
90
+ | NO (µg/m³) | 39.4% |
91
+ | NOx (ppb) | 38.7% |
92
+ | NO2 (µg/m³) | 38.4% |
93
+ | TOT-RF (mm) | 14.0% |
94
+ | State_Geocoded | 11.5% |
95
+ | state_mismatch_flag | 11.5% |
96
+ | lat | 1.7% |
97
+ | lon | 1.7% |
98
+ | coverage_area_km2 | 1.7% |
99
+ | City | 0.2% |
100
+ | geocode_confidence | 0.2% |
101
+ | FileYear | 0.2% |
102
+ | Agency | 0.2% |
103
+ | Timestamp | 0.0% |
104
+ | Station | 0.0% |
105
+ | State_Hint | 0.0% |
106
+ | State_Raw | 0.0% |
107
+ | SourceFile | 0.0% |
108
+
109
+ ## Cities Not Geocoded
110
+ 7 (city, state) pairs failed geocoding (need manual lat/lon): Bileipada, DU Delhi, Kunjemura, Milupara, Palkalaiperur, Suakati, Tumidih
111
+
112
+ ## Filenames That Didn't Match Expected Pattern
113
+ 9 files -- review naming manually:
114
+
115
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2017.csv`
116
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2018.csv`
117
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2019.csv`
118
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2020.csv`
119
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2021.csv`
120
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2022.csv`
121
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2023.csv`
122
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2024.csv`
123
+ - `C:\Users\offrk\Desktop\cpcb\India CPCB\Odisha_Talcher_Coalfields_Talcher_-_OSPCB\Talcher_Coalfields_Talcher_-_OSPCB_2025.csv`
merged_cpcb_clean.csv ADDED
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1
+ State_Raw,State_Geocoded,City,Station,SourceFile
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+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2017.csv
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+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2018.csv
4
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2019.csv
5
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2020.csv
6
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2021.csv
7
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2022.csv
8
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2023.csv
9
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2024.csv
10
+ assam,Meghalaya,Byrnihat,Central Academy for SFS,C:\Users\offrk\Desktop\cpcb\India CPCB\assam_Central_Academy_for_SFS__Byrnihat_-_PCBA\Central_Academy_for_SFS__Byrnihat_-_PCBA_2025.csv
11
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2017.csv
12
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2018.csv
13
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2019.csv
14
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2020.csv
15
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2021.csv
16
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2022.csv
17
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2023.csv
18
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2024.csv
19
+ bihar,Chhattisgarh,Bhilai,32Bungalows,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_32Bungalows__Bhilai_-_CECB\32Bungalows__Bhilai_-_CECB_2025.csv
20
+ bihar,Chhattisgarh,Bhilai,Civic Center,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Civic_Center__Bhilai_-_Bhilai_Steel_Plant\Civic_Center__Bhilai_-_Bhilai_Steel_Plant_2021.csv
21
+ bihar,Chhattisgarh,Bhilai,Civic Center,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Civic_Center__Bhilai_-_Bhilai_Steel_Plant\Civic_Center__Bhilai_-_Bhilai_Steel_Plant_2022.csv
22
+ bihar,Chhattisgarh,Bhilai,Civic Center,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Civic_Center__Bhilai_-_Bhilai_Steel_Plant\Civic_Center__Bhilai_-_Bhilai_Steel_Plant_2023.csv
23
+ bihar,Chhattisgarh,Bhilai,Civic Center,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Civic_Center__Bhilai_-_Bhilai_Steel_Plant\Civic_Center__Bhilai_-_Bhilai_Steel_Plant_2024.csv
24
+ bihar,Chhattisgarh,Bhilai,Civic Center,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Civic_Center__Bhilai_-_Bhilai_Steel_Plant\Civic_Center__Bhilai_-_Bhilai_Steel_Plant_2025.csv
25
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2017.csv
26
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2018.csv
27
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2019.csv
28
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2020.csv
29
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2021.csv
30
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2022.csv
31
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2023.csv
32
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2024.csv
33
+ bihar,Chhattisgarh,Bhilai,Hathkhoj,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Hathkhoj__Bhilai_-_CECB\Hathkhoj__Bhilai_-_CECB_2025.csv
34
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2017.csv
35
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2018.csv
36
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2019.csv
37
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2020.csv
38
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2021.csv
39
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2022.csv
40
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2023.csv
41
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2024.csv
42
+ bihar,Chhattisgarh,Bilaspur,Mangala,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Mangala__Bilaspur_-_NTPC\Mangala__Bilaspur_-_NTPC_2025.csv
43
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2017.csv
44
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2018.csv
45
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2019.csv
46
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2020.csv
47
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2021.csv
48
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2022.csv
49
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2023.csv
50
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2024.csv
51
+ bihar,Himachal Pradesh,Chhal,Nawapara SECL Colony,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Nawapara_SECL_Colony__Chhal_-_CECB\Nawapara_SECL_Colony__Chhal_-_CECB_2025.csv
52
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2017.csv
53
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2018.csv
54
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2019.csv
55
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2020.csv
56
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2021.csv
57
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2022.csv
58
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2023.csv
59
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2024.csv
60
+ bihar,Chhattisgarh,Korba,Rampur,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Rampur__Korba_-_CECB\Rampur__Korba_-_CECB_2025.csv
61
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2017.csv
62
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2018.csv
63
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2019.csv
64
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2020.csv
65
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2021.csv
66
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2022.csv
67
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2023.csv
68
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2024.csv
69
+ bihar,Chhattisgarh,Korba,Urja Nagar,C:\Users\offrk\Desktop\cpcb\India CPCB\bihar_Urja_Nagar__Korba_-_CECB\Urja_Nagar__Korba_-_CECB_2025.csv
70
+ haryana,Madhya Pradesh,Panchgaon,Amity University,C:\Users\offrk\Desktop\cpcb\India CPCB\haryana_Amity_University__Panchgaon_-_IITM\Amity_University__Panchgaon_-_IITM_2025.csv